1. Introduction
In [Reference ZagierZag10], Zagier introduced the concept of quantum modular forms (QMF). Given a Fuchsian cofinite subgroup
$\Gamma$
of
$\textrm{SL}(2, \mathbb{Z})$
whose set of cusps
$C(\Gamma)\subset \mathbb{P}^1(\mathbb{Q})$
is non-empty, and
$k\in\mathbb{C}$
, QMF are defined as functions
for some finite set S, satisfying a form of modularity, in the purposely vague sense that for any
$\gamma=(\begin{smallmatrix}a & b\\ c&d\end{smallmatrix})\in\Gamma$
, the period function
is somewhat regular with respect to the real topology. The exact assumptions vary widely in the literature; in our case, we will mainly require continuity or bounds on the growth around possible singularities.
Numerous examples of quantum modular forms are known, in various contexts, and we refer in particular to [Reference ZagierZag10, Reference Bringmann, Folsom and RhoadesBFR15, Reference Ngo and RhoadesNR17, Reference Kim, Lim and LovejoyKLL16, Reference Bruggeman, Lewis and ZagierBLZ15, Reference Marmi, Moussa and YoccozMMY97, Reference Jaffard and MartinJM18]. More references are listed in the introduction of [Reference Bettin and DrappeauBD22].
In this paper, we focus on QMF for the full modular group
$\Gamma =\textrm{SL}(2, \mathbb{Z})$
, so that
$C(\Gamma) =\mathbb{P}^1(\mathbb{Q})$
, and which are periodic (i.e.
$h_{U}=0$
for
$U=(\begin{smallmatrix}1 & 1\\ 0&1\end{smallmatrix})$
).Footnote
1
By composition, it is sufficient to consider (1.1) for the second generator
$\gamma=(\begin{smallmatrix}0 & -1\\ 1&0\end{smallmatrix})$
of
$\textrm{SL}(2, \mathbb{Z})$
, so that, in order to prove that f is a QMF, one only needs to verify that
has some regularity property.
The cases of
$\operatorname{Re}(k)=0$
and
$\operatorname{Re}(k)\neq0$
are different in nature. In the case
$k=0$
, by iterating the relation (1.2) and using periodicity, we can express f as a twisted Birkhoff sum of h evaluated along orbits under the Gauss map, see [Reference Bettin and DrappeauBD22, Equation (3.1)], the twist being given by the multiplicative automorphic factor. Using this observation, in [Reference Bettin and DrappeauBD22] it was then shown that, for a large class of functions h, the multisets
$\{f(x)\mid x\in\mathbb{Q}\cap[0,1),\, \operatorname{Den}(x)\leqslant Q\}$
become asymptotically distributed, as
$Q\to\infty$
, according to a stable law, which is in fact a normal law if h is of moderate growth at 0.Footnote
2
As a consequence, one has that, in general, f is nowhere continuous according to the real topology, nor can f be extended by continuity to any point outside of
$\mathbb{Q}$
. For the same reasons, we expect a similar phenomenon to occur whenever
$\operatorname{Re}(k)=0$
.
The purpose of the present paper is to study the case when
$\operatorname{Re}(k)\neq 0$
.
1.1 Weights with negative real parts
If
$\operatorname{Re}(k)<0$
and h is continuous on
$[-1,1]\smallsetminus \{0\}$
with finite right and left limits
$h(0^\pm)$
at 0, then we show that, in fact, f can always be extended by continuity to a bounded function
$f^\triangleleft:\mathbb{R}\to\mathbb{C}$
. Moreover, we prove that
$f^\triangleleft$
is continuous on
$\mathbb{R}\smallsetminus \mathbb{Q}$
and is continuous on the whole real line if
$h(0\pm)=f(0)$
, a condition that could be morally interpreted as saying that (1.2) holds also at ‘
$0^{\pm}$
’. More precisely, the following holds.
Theorem 1.1. Let
$\operatorname{Re}(k)<0$
and let
$f:\mathbb{Q}\to\mathbb{C}$
be a 1-periodic function satisfying (1.2) for a function
$h:\mathbb{R}\smallsetminus \{0\}\to \mathbb{C}$
which is continuous on
$[-1,1]\smallsetminus \{0\}$
with finite left and right limits
$h(0^\pm)$
at 0. Then the function
\begin{align} f^\triangleleft(x):= \begin{cases} f(x) & \text{if }x\in\mathbb{Q},\\ {\displaystyle \lim_{\mathbb{Q}\ni y\to x}f(y)} & \text{if }x\notin\mathbb{Q} \end{cases} \end{align}
is defined for all
$x\in\mathbb{R}$
and is continuous on
$\mathbb{R}\smallsetminus\mathbb{Q}$
. Moreover, for any rational
$x= a/q$
in reduced form, one has
$f^\triangleleft(y)\to f(x) + q^k(h(0^\pm)-f(0))$
as
$y\to x^\pm$
. In particular,
$f^\triangleleft$
is continuous on
$\mathbb{R}$
if and only if
$h(0^\pm)=f(0)$
. Furthermore, in this case, if
$h\in\mathcal C^{m}([-1,1],\mathbb{C})$
with
$0\leqslant m < {| {\operatorname{Re}(k)} |}/2$
, then
$f^\triangleleft\in\mathcal C^{m}(\mathbb{R},\mathbb{C})$
.
If h is continuous at 0 but
$h(0)\neq f(0)$
, we can modify f by letting
$\widetilde f(x):=f(x)+\operatorname{Den}(x)^k(h(0)-f(0))$
. The map
$\widetilde f$
is a QMF with h as its period function, and
$\widetilde f(0)=h(0)$
.
As we will see below, in some of the examples of QMF that we will consider, the map f actually admits an expression as an absolutely converging Fourier series, and the differentiability of such series has been studied in detail in many instances, see in particular [Reference ChamizoCha04, Reference PetrykiewiczPet14, Reference Chamizo, Petrykiewicz and Ruiz-CabelloCPRC17]. Theorem 1.1 instead gives a proof of the continuity and differentiability of f extended to
$\mathbb{R}$
which does not rely on an a priori knowledge of a Fourier expansion for f.
Theorem 1.1 shows that, in fact, one cannot expect the period function h to be continuous if f does not have some continuity property to start with, so that non-trivial instances of QMF (meaning those cases when h is more regular than f) arise only when h is differentiable at least
$\lceil -\operatorname{Re}(k)/2\rceil$
times.
Our method uses properties of the Gauss map, and is closely related to the works [Reference Marmi, Moussa and YoccozMMY97, Reference Lee, Marmi, Petrykiewicz and SchindlerLMPS24, Reference Balazard and MartinBM19]. These works are concerned with the regularity properties of the Brjuno function. This function is related to linearization problems in holomorphic dynamics [Reference BrjunoBrj72, Reference YoccozYoc88, Reference YoccozYoc95], and is close to being a QMF of weight
$-1$
, see [Reference Marmi, Moussa and YoccozMMY06]. The methods of [Reference Marmi, Moussa and YoccozMMY97] likely extend to the setting of Theorem 1.1, and would be relevant to study e.g. the Hölder regularity of the highest-order derivative of f (see Definitions 1.1 to 1.3 in [Reference Chamizo, Petrykiewicz and Ruiz-CabelloCPRC17]).
We point out that precise estimates on Hölder regularity are achievable by methods from wavelet theory. In [Reference PetrykiewiczPet14] this was carried out using an explicit Fourier expansion, while in [Reference Jaffard and MartinJM18] instead this was performed using properties of the Gauss map, a point of view similar to the one taken in [Reference Marmi, Moussa and YoccozMMY97] or in the present paper.
The existence of the function
$f^\triangleleft$
in (1.3) can actually be proved under much weaker hypotheses, which we explain in what follows. This will be required later on, when we will study cotangent sums.
Theorem 1.2. Suppose that
$\operatorname{Re}(k)<0$
and let
$\delta>0$
. Suppose that f satisfies
in other words that f is 1-periodic separately on
$(-\infty, 0)$
and
$(0, \infty)$
, and that Equation (1.2) holds for
$x\in[-1, 1]\smallsetminus\{0\}$
, for a function h satisfying
Then there is a full measure set
$X \subset\mathbb{R}\smallsetminus\mathbb{Q}$
such that the limit
exists for
$x\in X$
, where
$(x_j) = ([a_0(x); a_1(x), \dotsc, a_j(x)])_j$
denotes the sequence of convergents of x. This value coincides with the limit (1.3) when h is bounded. In general, for any
$\varepsilon>0$
, there is a subset
$X_\varepsilon\subset X$
invariant by
$x\mapsto x+1$
and with
$\nu(X_\varepsilon \cap [0, 1]) \geqslant 1-\varepsilon$
, such that
$f^\triangleleft|_{X_\varepsilon}$
is continuous on
$X_\varepsilon$
equipped with the restricted topology. In particular,
$f^\triangleleft$
is Lebesgue-measurable.
The set X in this statement does not depend on f, h or
$\delta$
. It consists of numbers having mildly growing continued fraction coefficients, see Lemma 2.2 below.
The extension of the definition of f(x) also allows us to show that f has a limiting distribution when evaluated at reduced rationals
$0\leqslant a/q<1$
with
$q\to\infty$
.
Theorem 1.3. Suppose that
$\operatorname{Re}(k)<0$
and let
$f:\mathbb{Q}\to\mathbb{C}$
satisfy (1.2) and (1.4), for a function
$h:\mathbb{R}\smallsetminus \{0\}\to \mathbb{C}$
satisfying (1.5). Then the multiset
becomes distributed, as
$q\to \infty$
, according to the push-forward
$ f^\triangleleft_\ast(\nu)$
of the Lebesgue measure
$\nu$
on [0, 1] (see [Reference Le GallLG22, p. 13]).
If, moreover, h is real-analytic on
$(-1, 1)\smallsetminus\{0\}$
and f is non-constant on
$\mathbb{Q}_{>0}$
, then the measure
$f^\triangleleft_\ast(\nu)$
is diffuse.
In contrast with the case
$k=0$
treated in [Reference Baladi and ValléeBV05, Reference Bettin and DrappeauBD22], we remark here that we did not need to perform an additional average over q in order to obtain a limiting statement.
We recall that a measure is diffuse if it has no atoms. When
$f^\triangleleft$
is real-valued, then
$f^\triangleleft_\ast(\nu)$
is supported on
$\mathbb{R}$
, and diffuseness is equivalent to the continuity of the associated cumulative distribution function. Under appropriate conditions, we are able to reach the stronger conclusion that for any non-zero linear form
$\phi:\mathbb{C}\to\mathbb{R}$
, the measure
$(\phi\circ f^\triangleleft)_\ast(\nu)$
on
$\mathbb{R}$
is diffuse.Footnote
3
This is equivalent to the statement that the graph of
$f^\triangleleft$
never remains on a given straight line for a positive proportion of time: for any line
$D\subset\mathbb{C}$
,
$\nu((f^\triangleright)^{-1}(D)) = 0$
. Also, the statement that
$(\phi\circ f^\triangleleft)_\ast(\nu)$
is diffuse means that its cumulative distribution function is continuous.
1.2 Weights with positive real parts
In the case
$\operatorname{Re}(k)>0$
, we find that iterating the reciprocity formula (1.2) does not imply the continuity of f, even if h is continuous. It is, however, still possible to extend naturally f if one considers f(x), not as a function of
$x= a/q$
, but rather as a function of
$\overline {x}:={\overline {a}_q}/q$
, where
$\overline a_q\in (0,q]$
is the multiplicative inverse of
$a\ (\textrm{mod}\,q)$
.
Theorem 1.4. Let
$\operatorname{Re}(k)>0$
and let f be 1-periodic and satisfy (1.2) with
$h(x):\mathbb{R}\smallsetminus\{0\}\to\mathbb{C}$
satisfying
$h(x)=O(|x|^{-\operatorname{Re}(k)})$
for
$|x|\in(0,1]$
. Then the function
\begin{align} f^\triangleright(x):= \begin{cases} q^{-k}f(\overline x) & \text{if }x= a/q\in\mathbb{Q},\\ {\displaystyle \lim_{\mathbb{Q}\ni y= a/q\to x}q^{-k}f(\overline y)} & \text{if }x\notin\mathbb{Q} \end{cases} \end{align}
defines a continuous function of
$x\in\mathbb{R}\smallsetminus\mathbb{Q}$
. Furthermore, if
$h(x)=o(|x|^{-\operatorname{Re}(k)})$
as
$x\to0$
, then
$f^\triangleleft$
is continuous on
$\mathbb{R}$
.
Finally, there exists a full measure set
$X \subset\mathbb{R}$
such that
$f^\triangleright$
is
$\alpha$
-Hölder continuous at any point of X, for any
$\alpha<\frac12\operatorname{Re}(k)$
. In particular, if
$\operatorname{Re}(k)>2$
, then
$f^\triangleright$
has derivative zero almost everywhere.
It would be interesting to know what could be said about the
$L^p$
or the bounded mean oscillation regularity of
$f^\triangleright$
, similarly to [Reference Marmi, Moussa and YoccozMMY97]; or what could be said about the fractal or multi-fractal property of
$f^\triangleright$
in specific cases, similarly to [Reference Jaffard and MartinJM18].
Also in the case
$\operatorname{Re}(k)>0$
, the limit (1.7) makes sense under more general hypotheses, which we will require in some of our applications: it suffices that f satisfies (1.4) instead of being periodic on
$\mathbb{R}$
, and that h merely satisfies
$h(x)=O({e}^{-|x|^{\delta-1}})$
for
$x\in[-1,1]\smallsetminus\{0\}$
and some
$\delta>0$
. More precisely, the following holds.
Theorem 1.5. Suppose that
$\operatorname{Re}(k)>0$
and let
$f:\mathbb{Q}\to\mathbb{C}$
satisfy (1.2) and (1.4) for a function
$h:\mathbb{R}\smallsetminus \{0\}\to \mathbb{C}$
with
$h(x)\ll {e}^{|x|^{-1+\delta}}$
for
$x\in(-1,1)\smallsetminus\{0\}$
and some
$\delta>0$
. Then the limit
exists on a full measure subset X of
$\mathbb{R}$
, and coincides with the value (1.7) under the hypotheses of Theorem 1.4.
Remark 1.6. As in Theorem 1.2 we will show, under the hypotheses stated above, the existence of sets
$X_\varepsilon\subset X$
with
$\nu(X_\varepsilon)\geqslant 1-\varepsilon$
such that
$f^\triangleright|_{X_\varepsilon}$
is continuous with the restricted topology, and in particular
$f^\triangleright$
is also Lebesgue-measurable.
Similarly to Theorem 1.2, we can then show that the values of f at rationals converge to a limiting distribution.
Theorem 1.7. Under the notation and conditions of Theorem 1.5, the multisets
become distributed, as
$q\to \infty$
, according to
$ f^\triangleright_\ast( \nu)$
.
Moreover, if h is not identically zero, and is either continuous on
$[-1,1]$
or satisfies
$h(x)\ll {e}^{{| {x} |}^{-1+\delta}}$
and
$h(x) \sim c x^{-\lambda}$
as
$x\to0^+$
for some
$\delta>0$
,
$c\in\mathbb{C}\smallsetminus\{0\}$
and
$\lambda\in\mathbb{R}_{>0}\smallsetminus\{k\}$
, then the measure
$f^\triangleright_\ast( \nu)$
is diffuse.
Remark 1.8. One can relax considerably the conditions required to ensure the diffuseness of the limiting measures. For example, it is sufficient that h is right continuous at 0 with
$h(0^+)\neq0$
or that h(x) goes to
$\infty$
as
$x\to 0$
without staying too close to a multiple of
$1-|x|^{-k}$
. See § 3.3 for more details.
Similarly as for
$\operatorname{Re}(k)<0$
, under natural conditions which are, however, more involved, we show that the measure
$(\phi \circ f^\triangleright)_\ast(\nu)$
on
$\mathbb{R}$
is diffuse for any non-zero linear form
$\phi:\mathbb{C}\to\mathbb{R}$
.
1.3 Applications
The above theorems apply to many objects, some of which are described in the following corollaries.
1.3.1 Eichler integrals of classical holomorphic forms.
The elementary-looking function
\begin{equation} A_{k,D}(x):=\sum_{\substack{Q(x)=ax^2+bx+c>0\\ a\in-\mathbb{N},\, b,c\in\mathbb{Z},\, b^2-4ac=D }}Q(x)^k,\quad x\in\mathbb{R}, k\in2\mathbb{N}+3,\ \square\neq D\equiv 1\ (\textrm{mod}\,4)\end{equation}
was introduced and studied by Zagier in [Reference ZagierZag99];Footnote
4
see [Reference BengoecheaBen15] for more details on the convergence of the sum. With a simple algebraic computation one can verify that
$A_{k,D}(x)$
is a 1-periodic QMF of weight
$-2k$
, satisfying (1.2) with a period function
$h = h_{k,D}$
which is a polynomial of degree 2k satisfying, by [Reference ZagierZag99, Equation (25)]
$$ h_{k,D}(0)=A_{k,D}(0) = \sum_{\substack{0\leqslant b < \sqrt{D} \\b^2 \equiv D \ (\textrm{mod}\,4)}} \sigma_k\bigg(\frac{D-b^2}4\bigg) $$
where
$\sigma_k(n) = \sum_{d\mid n}d^k$
. Theorem 1.1 applies to
$A_{k,D}$
and gives another proof that
$A_{k,D}\in\mathcal C^{k-1}(\mathbb{R},\mathbb{R})$
. The fact that
$A_{k,D}(x)$
is in
$\mathcal C^{k-1}(\mathbb{R},\mathbb{R})$
was instead obtained by Zagier in [Reference ZagierZag99] by observing that
$h_{k,D}$
belongs to the space of period polynomials corresponding to modular forms of weight
$2k+2$
. This implies, in particular, that
$A_{k,D}(x)$
has to coincide with the Eichler integral of a weight
$2k+2$
modular form and thus can be written as a Fourier series whose nth Fourier coefficient decays roughly as
$n^{-k-1/2}$
, see [Reference ZagierZag99, Equation (53)].
From Theorem 1.3 we deduce the following distributional result for
$A_{k,D}$
.
Corollary 1.9. Let
$k\geqslant 5$
be odd and assume
$D \equiv 0,1 \ (\textrm{mod}\,4)$
is not a square. Then
becomes distributed, as
$q\to \infty$
, according to the measure
$(A_{k,D}^\triangleleft)_\ast( \nu)$
. This measure has a continuous cumulative distribution function.
More generally, let g be in the space
$\text{S}_{k}(1)$
of cusp forms of weight
$k\geqslant12$
and level 1. If
$g(z):=\sum_{n\geqslant1}a_n{e}(nz)$
for
$\operatorname{Im}(z)>0$
, where
${e}(z):={e}^{2\pi i z}$
, then the Eichler integral of g
restricted to
$\mathbb{Q}$
, is a quantum modular form of weight
$2-k$
with period function given by the period polynomials of g.
Corollary 1.10. For
$k\geqslant12$
, let
$0\neq g\in \text{S}_{k}(1)$
. Then
becomes distributed, as
$q\to \infty$
, according to
$\widetilde g^\triangleleft_\ast( \nu)$
. For any non-zero linear form
$\phi:\mathbb{C}\to\mathbb{R}$
, the measure
$(\phi\circ \widetilde g^\triangleleft)_\ast(\nu)$
is diffuse.
It follows from Theorem 1.1 that the map
$\widetilde g$
is
$k/2-1$
times differentiable, but in this special case it could be seen immediately from the definition (1.10) and square-root cancellation in averages of
$a_n$
, see [Reference IwaniecIwa97, Theorem 5.3]. We comment on this after the proofs, see Remark 4.3.
1.3.2 Period functions of Maaß forms.
In [Reference Lewis and ZagierLZ01], Lewis and Zagier extend in some sense the theory of period polynomial to period functions associated to Maaß forms. Their work then allows us to construct quantum modular forms also from Maaß forms, as was described by Bruggeman [Reference BruggemanBru07]. We briefly review their construction. Let u be a Maaß cusp form for
$\textrm{SL}(2, \mathbb{Z})$
of Laplace eigenvalue
$s(1-s)$
, with
$s\in1/2+i\mathbb{R}_{>0}$
, which we expand as
We define
$$ \widetilde u(z) := \frac{\pi^s \Gamma(1-s)}2 \sum_{n\geqslant1} n^{s-1/2} a_n {e}(nz) \quad (\operatorname{Im}(z)\gt0). $$
We then include
$\mathbb{Q}$
in the domain of
$\widetilde u$
by letting
It is shown in [Reference BruggemanBru07, Reference Lewis and ZagierLZ01] that
$\widetilde u(x)$
thus defined is a quantum modular form of weight 2s whose associated period function h is
$\mathcal{C}^\infty$
on
$\mathbb{R}$
and real-analytic on
$\mathbb{R}\smallsetminus\{0\}$
. Using a suitable variant of Theorem 1.7, we will deduce the following result.
Corollary 1.11. Let u be a non-trivial Maaß form of spectral eigenvalue
$s(1-s)$
. Then
becomes distributed, as
$q\to \infty$
, according to
$\widetilde u^\triangleright_\ast( \nu)$
. Moreover, for any non-zero linear form
$\phi:\mathbb{C}\to\mathbb{R}$
, the measure
$(\phi\circ \widetilde u^\triangleright)_\ast(\nu)$
is diffuse.
We also show that
$\widetilde u^\triangleright$
is almost everywhere locally
$(1/2-\varepsilon)$
-Hölder continuous, but again in this case it can be seen directly from the Fourier expansion of the underlying form, see Remark 4.3.
1.3.3 A function of Kontsevich and Zagier.
Another example of quantum modular form, described in [Reference ZagierZag01, Reference ZagierZag10], is given by the series
\begin{equation} \varphi(x):={e}(x/24)\sum_{m=0}^\infty (1-{e}(x))\cdots (1-{e}(m x)) \quad (x\in\mathbb{Q}).\end{equation}
This function was studied by Kontsevich and is related to the Stoimenow numbers, which are used to bound the number of linearly independent Vassiliev invariants of a given degree. In [Reference ZagierZag01], a proof is sketched that
$\varphi$
is a quantum modular form of weight
$\frac32$
in the generalized meaning that
for a period function h(x) which is smooth on
$\mathbb{R}$
(and, in fact, also continues analytically to
$\mathbb{C}\smallsetminus i\mathbb{R}_+$
).Footnote
5
See [Reference Bringmann and RolenBR16] for a proof in the context of period functions for half-integral weight forms, and [Reference Goswami and OsburnGO21] for a generalization to periodic theta functions. In this case, due to the automorphy factors in the reciprocity relation (1.13), the definition of the limiting function
$\varphi^\triangleright$
is as follows: for
$x \in \mathbb{Q}\cap (0, 1]$
,
$x = [0; b_1, \ldots, b_r]$
with r odd, denote
$\sigma(x) = 3 + \sum_{1\leqslant j \leqslant r} (-1)^j b_j$
. Then
\begin{equation} \varphi^\triangleright(x) := \begin{cases} {e}(\frac{-1}{24}\sigma(x))\operatorname{Den}(x)^{-3/2} \varphi(\overline x) & (x\in \mathbb{Q}\cap (0, 1]), \\ \lim_{\mathbb{Q} \ni y \to x} \varphi^\triangleright(y) & (x\not\in\mathbb{Q}). \end{cases}\end{equation}
By suitable variants of Theorems 1.4 and 1.7, we obtain the following result.
Corollary 1.12. The map
$\varphi^\triangleright$
is continuous and, in fact, almost everywhere locally
$(3/4-\varepsilon)$
-Hölder continuous for any
$\varepsilon>0$
.
Moreover, the multiset
becomes distributed, as
$q\to \infty$
, according to
$ \varphi^\triangleright_\ast( \nu)$
. For any
$\theta\in\mathbb{R}$
, the cumulative distribution function of
$(\operatorname{Re}{e}^{i\theta}\varphi^\triangleright)_\ast( \nu)$
is continuous.
Remark 1.13. The function
$\sigma(x)$
can be expressed in terms of the Dedekind sum s(x) [Reference Rademacher and GrosswaldRG72]: using [Reference HickersonHic77, Theorem 1], we find
The function
$\varphi^\triangleright : [0, 1] \to \mathbb{C}$
is depicted in Figure 1. Note that
$\varphi^\triangleright(0) = 1$
.

Figure 1. Approximate plots of
$\operatorname{Re} \varphi^\triangleright$
(a) and
$\operatorname{Im} \varphi^\triangleright$
(b) defined in (1.12).
If we normalize
$\varphi$
by letting
$\varphi^\dagger(x):=\operatorname{Den}(x)^{-3/2}\varphi(x)$
, then as an immediate consequence of Corollary 1.12, we obtain that
$\overline{\varphi^\dagger(\mathbb{Q})}$
is equal to the curve
$\mathcal{G}$
given by
$$ \mathcal{G} := \bigcup_{n=1}^{24} {e}^{\pi i n/12} \varphi^\triangleright([0, 1]), $$
which passes through the 24th roots of unity. In Figure 2a, we have plotted the points
$\varphi^\triangleright(x)$
for
$\operatorname{Den}(x)\leqslant 101$
. The limiting curve is the graph of
$\varphi^\triangleright$
. In Figure 2b, we have plotted the points
$\varphi^\dagger(x)$
for
$\operatorname{Den}(x)\leqslant 307$
, colored depending on
$\sigma(x)$
. The limiting curve is the curve
$\mathcal{G}$
.

Figure 2. Approximate plots of
$\varphi^\triangleright([0, 1])$
(a) and
$\varphi^\dagger([0, 1])$
(b).
1.3.4 Generalized cotangent sums.
Finally we mention the generalized cotangent functions, studied in [Reference Bettin and ConreyBC13a] and defined for
$b\in\mathbb{Z}$
,
$q\in\mathbb{N}_{>0}$
, coprime by
$$c_a\bigg(\frac bq\bigg):=q^a\sum_{m=1}^{q-1}\cot\bigg(\frac{\pi m b}{q}\bigg)\zeta\bigg(-a,\frac mq\bigg),$$
where
$a\in \mathbb{C}$
. Here,
$\zeta(s,x)$
denotes the Hurwitz zeta function, which is the analytic continuation of
$s\mapsto \sum_{n\geqslant 1} (n+x)^{-s}$
. When
$a=-1$
, the poles of
$\zeta$
cancel out and
$c_a$
reduces in that case to the classical Dedekind sum [Reference Rademacher and GrosswaldRG72]. In [Reference Bettin and ConreyBC13a], it was shown that the functions
$c_a$
are almost quantum modular forms of weight
$1+a$
with period function
$h_a$
satisfying, in a neighborhood of 0, the estimate
The meaning of ‘almost’ here will be made precise later on. The function
$c_a$
is very closely related to Eichler integrals of certain real-analytic Eisenstein series, see [Reference Bettin and ConreyBC13a, § 2] and [Reference Lewis and ZagierLZ19]. We will deduce from our main results the following statement on the distribution of values of
$c_a$
.
Corollary 1.14. If
$\operatorname{Re}(a)<-1$
, then the multiset
becomes distributed, as
$q\to \infty$
, according to the measure
$\lambda_a := (c_a^\triangleleft)_\ast( \nu)$
. If
$\operatorname{Re}(a)>-1$
, then the multiset
becomes distributed, as
$q\to \infty$
, according to a measure
$\lambda_a := (c_a^\triangleright)_\ast( \nu)$
. Moreover:
-
(1) when
$a\in (2\mathbb{Z}_{\geqslant0}+1)$
, the measure
$\lambda_a$
is supported on
$\{0\}$
; -
(2) when
$a\in \mathbb{R}\smallsetminus(2\mathbb{Z}_{\geqslant -1}+1)$
, the measure
$\lambda_a$
is supported inside
$\mathbb{R}$
and is diffuse; -
(3) when
$\operatorname{Re}(a)\neq -1$
and
$a\not\in\mathbb{R}$
, then for any non-zero linear form
$\phi:\mathbb{C}\to\mathbb{R}$
, the push-forward measure
$\phi_\ast(\lambda_a)$
on
$\mathbb{R}$
is diffuse.
When
$\operatorname{Re}(a)>0$
, the map
$c_a^\triangleright$
is continuous at irrationals. Moreover, for
$0<\operatorname{Re}(a)\leqslant 1$
, the map
$x\mapsto c_a^\triangleright(x)$
is
$\alpha$
-Hölder-continuous locally almost everywhere, for any
$\alpha<(\operatorname{Re}(a)+1)/2$
. When
$\operatorname{Re}(a)>1$
, the same is true for the map
$x\mapsto c_a^\triangleright(x) + x a \zeta(1-a)/\pi$
, and in particular the map
$c_a^\triangleright$
is then differentiable almost everywhere with derivative
$-a\zeta(1-a)/\pi$
.
In this statement we have kept the notation
$c_a^\triangleleft, c_a^\triangleright$
; however, we warn that the actual definitions differ from those in Theorems 1.1 and 1.4, mainly due to the fact
$c_a$
is only ‘almost’ a quantum modular form. The precise definitions are given in § 4.3 below in several cases depending on the value of a.
In the case (3) above, we obviously also have that
$\lambda_a$
itself has no atoms.
The empirical cumulative distribution functions (CDFs) in Corollary 1.14 for
$q=5000$
are plotted in Figure 3 for some real values of a. The fact that the corresponding measures are diffuse, stated in item (2) of the previous corollary, translates into the continuity of the limiting functions.

Figure 3. CDF of the empirical measures at
$q=5000$
in Corollary 1.14, for
$a = -2$
(a) and
$a = 1/2$
(b).
The case
$a=0$
of Corollary 1.14 was studied earlier in [Reference Maier and ThMR16, Reference BettinBet15]. The fact that the values of
$c_0$
have a limiting distribution was proved in [Reference Maier and ThMR16] with an elaborate argument relying on an explicit expression for
$c_0({\overline b_q}/{q})$
in terms of
$b/q$
(see e.g. [Reference BettinBet15, pp. 1–2]). A simpler proof was then given in [Reference BettinBet15] using an explicit computation of the moments of both the original QMF and the limiting measure. In the generality of Theorem 1.7, and already even in the case
$a<-1$
and
$a\in (-1, 0)$
of Corollary 1.14, the moments don’t exist (see Remark 4.2). The proof of Theorems 1.3 and 1.7 instead identifies directly the limiting function and avoids the computation of moments, thus allowing for more general period functions h.
It might be interesting to know if the CDF of the Cauchy distribution can be obtained as a limit of the distribution of values of
$c_a^\triangleright, c_a^\triangleleft$
, appropriately normalized, as
$a\to -1$
; in other words, if for some scaling factor
$\gamma(a)>0$
, we have
Indeed, this would match the case
$a=-1$
(weight zero), for which
$c_{-1}(x)$
are the Dedekind sums: it is proved in [Reference VardiVar93] (see [Reference Bettin and DrappeauBD22, § 9.4] for another argument) that the values
$c_{-1}(x)$
tend to distribute according to a Cauchy distribution when x is picked at random among rationals of denominators at most Q, as
$Q\to\infty$
.
In Figure 4 we present the plots of the real part of
$c_a^\triangleleft$
and
$c_a^\triangleright$
for various values of a. The relevant period function
$h(x)=h_a(x)$
roughly satisfies
$h(x) \sim \kappa(a) x^{-1} + O(1)$
for some constant
$\kappa(a)$
, see (4.11) later. When
$\operatorname{Re}(a)<-1$
, we witness a rise in regularity in
$c_a^\triangleleft$
as
$\operatorname{Re}(a)$
decreases, but without reaching full continuity, due to the fact that
$h_a$
has a pole at 0. When
$\operatorname{Re}(a)>0$
, Corollary 1.14 shows that the map
$c_a^\triangleright$
is continuous at irrationals, and when
$\operatorname{Re}(a)>1$
, that it has derivative
$-a\zeta(1-a)/\pi$
almost everywhere. In Figure 4h, we have
$a=1.5$
and
$-a\zeta(1-a)/\pi \approx 0.09926$
.

Figure 4. Sample points of
$c_a$
at N points of denominator q.
1.4 Notation
1.4.1 General notation.
We set the following general notation:
-
–
$\nu$
is the Lebesgue measure on [0, 1]; -
–
$b_j(x)$
is the jth continued fraction coefficient of x; -
–
$\textrm{Num}(x)$
and
$\operatorname{Den}(x)$
are the numerator and denominator of a rational number x; -
–
$\mu(c_1, \dotsc, c_\ell)$
is the Lebesgue measure of the ‘cylinder set’
$J(c_1, \dotsc, c_\ell)$
defined at (3.10); -
– notation using the letters f, g will typically denote quantum modular forms;
-
– notation using the letter h will denote period functions;
-
– the superscripts
$f^\triangleright$
and
$f^\triangleleft$
refer to continuous extensions defined in (1.3), (1.6), (1.7) or (1.8); -
– T denotes the Gauss map (cf. the next section);
-
– w and
$w_j$
refer to products of iterates of the Gauss map defined in (2.12) and (2.19); -
–
$\vartheta_j$
is a root of unity defined in (2.27); -
– the sets
$\mathfrak{T}(B)$
,
$\mathfrak{S}$
,
$\mathfrak{A}_q$
and
$\mathfrak{T}_q$
are defined in Lemmas 2.2, 3.1 and 3.2; -
– V(B, m, x) and
$\Delta_\lambda(m)$
are defined in (2.6) and (2.7), respectively; -
–
$\mathscr{S}(\lambda)$
is the property defined in Definition 2.4.
Throughout the paper, we use the Vinogradov notation
$A\ll B$
to mean
$A = O(B)$
. We denote
$\varpi = {(1 + \sqrt{5})}/{2}$
to be the golden ratio.
1.4.2 The Gauss map, partial quotients, partial denominators.
Let
$T : \mathbb{R}\smallsetminus\{0\} \to [0, 1)$
,
$T(x):=\{1/x\}$
be the Gauss map,
$T^i$
its ith iterate. For
$x\in\mathbb{Q}$
, we let
$r:=r(x)$
be the minimum non-negative integer such that
$T^{r}(x)=0$
and, for
$0\leqslant j < r$
, we write
$T^j(x)$
in simplest terms as
In particular, we have
where
$\operatorname{Den}(x)$
is the denominator of x. Whenever
$u_{r-1}(x)>1$
, we also define
which will be convenient to change the length of the continued fraction (CF) expansion. In the terminology of [Reference Marmi, Moussa and YoccozMMY97], with the value
$\alpha = 1$
, we have
$u_j(x) = \operatorname{Den}(x) \beta_{j+1}(x)$
. Thus, from [Reference Marmi, Moussa and YoccozMMY97, Proposition 1.4.(iv)] we deduce
We will also use the following other decomposition. Given
$y \in \mathbb{Q}\cap (0, 1)$
and writing uniquely y as its CF expansion
with s odd, we define
Equivalently,
$v_j(y) = \operatorname{Den}([0; c_j, \dotsc, c_1])$
. Note that, with
$\overline{y} = [0; c_s, \dotsc, c_1]$
, we have
and as such
We refer to Khinchin’s book [Reference KhintchineKhi63] and to the survey [Reference Flajolet, Vallée and VardiFVV] for additional information about continued fractions.
2. Extending the domain of quantum modular forms
In this section we prove Theorems 1.1, 1.2, 1.4 and 1.5.
2.1 Iteration of the reciprocity formula
First, we notice that by Euclid’s algorithm, any QMF f of level 1 is determined by h and its value at 0. Indeed, by repeatedly applying (1.2) and periodicity, we obtain, for
$x=\frac aq\in[0,1)$
in reduced form,
\begin{equation} f(x)=\sum_{j=0}^{r-1}\bigg(\prod_{i=0}^{j-1}T^{i}(x)\bigg)^{\!{-}k} h((-1)^{j}T^j(x))+q^{k} f(0).\end{equation}
Notice that we used that
$\prod_{i=0}^{r-1}T^{i}(x)=1/q$
.
The above quantities are naturally expressed in terms of continued fractions. Indeed, if
$x\in(0,1)$
, then the length of its CF expansion
$x=[0;b_1,\ldots,b_{r}]$
with minimal length (i.e.
$b_{r}\neq1$
if
$r>1$
) is r. Also, for
$0\leqslant j\leqslant r$
we have
$q \prod_{i=0}^{j-1}T^{i}(x)=(\prod_{i=j}^{r-1}T^{i}(x))^{-1}$
is the denominator
$u_{j}(x)$
defined in (1.15). Notice also that
$u_0(x)=q$
. Thus, abbreviating
$u_j = u_j(x)$
, we can then rewrite (2.1) as
\begin{equation} f(x)=\sum_{j=0}^{r-1}\bigg(\frac{u_j}{u_0}\bigg)^{\!{-}k} h\bigg((-1)^{j}\frac{u_{j+1}}{u_{j}}\bigg) + u_0^{k} f(0).\end{equation}
This formula holds also if r is formally replaced by
$r+1$
, which corresponds to expressing
$x = [0;b_1,\ldots,b_{r}]$
rather as
$[0; b_1, \dotsc, b_r - 1, 1]$
, since the additional term in (2.2) is
by (1.2) and periodicity.
Finally, we deduce another variant of (2.2). First, we notice that if
$[0;b_1,\ldots,b_r]$
is the CF expansion of
$x\neq0$
with r odd, then
$\overline x=[0;b_r,\ldots,b_1]$
. In particular, after the change of variables
$r\to r-j$
, (2.2) can be rewritten as
where, for
$y=[0;c_1,\ldots,c_r]$
with r odd, and the notation (1.17),
\begin{equation} \Psi(y):=\sum_{j=1}^{r}v_{j}^{-k}h\bigg((-1)^{j-1}\frac{v_{j-1}}{v_{j}}\bigg)+f(0).\end{equation}
From the expansions (2.2) and (2.5), and the fact that both quantities
$u_j/u_0$
and
$v_j^{-1}$
decrease exponentially fast with j, we see the difference of behavior according to the sign of
$\operatorname{Re}(k)$
, and the relevance of switching x to
$\overline x$
when
$\operatorname{Re}(k)>0$
.
Finally, we need the following simple fact.
Lemma 2.1. Let
$x\in\mathbb{Q}$
. Then, there exists a neighborhood
$I_x$
of x such that
$r(y)\geqslant r(x)+1$
for all
$y\in I_x\smallsetminus\{x\}$
.
Proof. The statement is immediate if
$x\in\mathbb{Z}$
. Now let
$x=[b_0;b_1,\ldots,b_r]\in\mathbb{Q}\smallsetminus \mathbb{Z}$
with
$r:=r(x)$
. In particular,
$b_r>1$
. Assume r is odd. Then the statement holds for
$I_x=(L_x,R_x)$
, where
$L_x=[0;b_1,\ldots,b_r+1]$
,
$R_x=[0;b_1,\ldots,b_r-1]$
. Indeed, if
$y\in(L_x,x)$
then
$y=[0;b_1,\ldots,b_r,\alpha]$
for some
$\alpha\in\mathbb{R}_{>1}$
, whereas if
$y\in(x,R_x)$
then
$y=[0;b_1,\ldots,b_r-1,\alpha]$
for some
$\alpha\in\mathbb{R}_{>1}$
. In either case
$T^{r}(y)=1/\alpha \neq0$
and thus
$r(y)>r$
. The case of r even is identical with the role of
$L_x$
and
$R_x$
reversed.
2.2 Continuity almost everywhere and extension
In this section, we state and prove a technical proposition which will be helpful when extending f almost everywhere in Theorems 1.2 and 1.5.
We first need the following lemma, which follows readily from a result of Khinchin [Reference KhintchineKhi63, Theorem 30]. In the following we will use the notation
$r(x)=\infty$
if
$x\notin\mathbb{Q}$
.
Lemma 2.2. For each
$B>0$
, let
The set
$\mathfrak{T}(B)$
is invariant under
$x\mapsto x+1$
. Moreover,
$\nu(\mathfrak{T}(B)\cap[0, 1]) = 1 + o(1)$
as
$B\to\infty$
and the set
is of full Lebesgue measure.
Proof. By [Reference KhintchineKhi63, Theorem 30] one deduces that
$\mathfrak{S}$
has full measure. Since
$ \mathfrak{T}(B')\subseteq \mathfrak{T}(B)$
if
$0<B'\leqslant B$
, one then deduces that
$\nu(\mathfrak{T}(B)\cap[0, 1]) = 1 + o(1)$
as
$B\to\infty$
. Finally, the invariance under
$x\mapsto x+1$
is clear since the conditions in
$\mathfrak{T}(B)$
don’t involve
$b_0$
.
Remark 2.3. Lemma 2.2 holds with the condition
$b_j(x) \leqslant \max(B, j(\log j)^2)$
replaced by
$b_j(x) \leqslant \max(B,a_j)$
for any non-negative increasing sequence
$(a_j)_j$
such that
$\sum_{j\geqslant 1}a_j^{-1}$
converges. For our later purposes we will also need that
$a_j\ll_\varepsilon j^{1+\varepsilon}$
for all
$\varepsilon>0$
. Making the explicit choice
$a_j=j(\log j)^2$
simplifies the notation in later computations.
Given
$B>0$
, an integer
$m\geqslant 1$
and a number
$x\in \mathfrak{T}(B)$
, define
the set of all rationals in
$\mathfrak{T}(B)$
whose first m coefficients coincide with those of x.
Definition 2.4 (Property
$\mathscr{S}(\lambda)$
.) We say that
$f:\mathbb{Q}\to\mathbb{C}$
has the property
$\mathscr{S}(\lambda)$
if the quantity
satisfies
as
$m\to\infty$
.
Proposition 2.5. Let
$\lambda>1$
, and assume that f has the property
$\mathscr{S}(\lambda)$
. Then for any
$x\in \mathfrak{S} \smallsetminus\mathbb{Q}$
, the limit
exists for any
$B>0$
such that
$x\in \mathfrak{T}(B)\smallsetminus\mathbb{Q}$
. Moreover, let
$m\in\mathbb{N}$
and
$B>0$
be given with
$m \geqslant B^{1/\lambda}$
, and define
$f^*(x) := f(x)$
for
$x\in\mathbb{Q}$
. Then uniformly in
$x, x' \in \mathfrak{T}(B)$
satisfying
$r(x), r(x')\geqslant m$
and
$b_j(x) = b_j(x')$
for
$j\leqslant m$
, we have
where the rate of decay may depend on
$\lambda$
, but not on B.
Remark 2.6. Let
$x\in \mathfrak{T}(B)\smallsetminus\mathbb{Q}$
. Since
$\mathfrak{T}(B') \subset \mathfrak{T}(B)$
for
$B \geqslant B' > 0$
, from (2.9) we also get
$f^*(x) = \lim_{y\in\mathbb{Q}\cap \mathfrak{T}(B'), y\to x} f(y)$
, for any
$0<B'<B$
with
$x\in \mathfrak{T}(B')\smallsetminus\mathbb{Q}$
. In particular, the existence of the limit implies that its value
$f^*(x)$
is independent of B. Notice that the rate of convergence, however, might depend on it.
Proof of Proposition 2.5. Let
$x\in \mathfrak{T}(B)\smallsetminus\mathbb{Q}$
. We wish to show that the limit (2.9) exists. By Cauchy’s criterion, it suffices to show that
\begin{align} \lim_{\varepsilon\to 0^+} \sup_{\substack{x', x'' \in \mathbb{Q} \cap\mathfrak{T}(B) \\ {| {x'-x} |}, {| {x''-x} |} \leqslant \varepsilon}} {| {f(x') - f(x'')} |} = 0. \end{align}
Let
$\varepsilon>0$
. Since
$x\not\in\mathbb{Q}$
, we may find
$m\in\mathbb{N}$
such that for any
$y\in\mathbb{Q}\cap[x-\varepsilon, x+\varepsilon]$
, then
$r(y)>m$
and
$b_j(y) = b_j(x)$
for all
$j\leqslant m$
. Clearly,
$m\to\infty$
as
$\varepsilon\to0^+.$
In particular, we can assume
$m\geqslant B^{1/\lambda}$
so that
$\mathfrak{T}(B) \subset \mathfrak{T}(m^\lambda)$
. Thus,
$x\in\mathfrak{T}(m^\lambda)$
and
$\mathbb{Q}\cap[x-\varepsilon, x+\varepsilon]\cap \mathfrak{T}(B)\subseteq V(m^\lambda,m,x)$
and (2.11) follows from (2.8).
It remains to show (2.10). Let
$x, x' \in \mathfrak{T}(B)$
,
$m \geqslant B^{1/\lambda}$
, and for
$0\leqslant j \leqslant m$
, define
$b_j := b_j(x) = b_j(x')$
. Consider the convergents
$(x_\ell)$
,
$(x'_\ell)$
of x and x’, respectively, so that, for instance,
Also, consider the rational
$y := [b_0; b_1, \ldots, b_m]$
. We have
$y\in\mathfrak{T}(m^{\lambda})$
by hypothesis on m. We obviously also have
$x_\ell\in V(m,m^{\lambda},y)$
whenever
$m\leqslant \ell \leqslant r(x)$
, and similarly
$x'_\ell \in V(m,m^{\lambda},y)$
for
$m\leqslant \ell \leqslant r(x')$
. We deduce that
${| {f(x_\ell) - f(x'_{\ell'})} |} \leqslant \Delta_{\lambda}(m)$
with the notation (2.8), and therefore
by taking
$\ell = r(x)$
if
$x\in\mathbb{Q}$
or
$\ell\to\infty$
if
$x\not\in\mathbb{Q}$
, and similarly for x’. The right-hand side does not depend on B and tends to 0 by (2.8), which is what we claimed.
2.3 The case of
$\operatorname{Re}(k)<0$
In this section we prove Theorems 1.1 and 1.2. We start by a lemma regarding the size and regularity of products of consecutive iterates of the Gauss map.
Lemma 2.7. Let
$j\in\mathbb{N}$
,
$\tau\in\mathbb{C}$
and
$g:[0, 1] \to \mathbb{C}$
. For
$x\in [0, 1)$
, define
\begin{equation} w(x) = w(x; j, \tau, g) := \mathbf{1}(j\leqslant r(x)) \bigg(\prod_{i=0}^{j-1} T^i(x)\bigg)^{\!\tau} g(T^j(x)), \end{equation}
where we recall that
$r(x) = +\infty$
by convention if
$x\not\in\mathbb{Q}$
and
$\mathbf{1}(j\leqslant r(x))$
indicates the indicator function of the condition
$j\leqslant r(x)$
.
-
– If
$\operatorname{Re}(\tau)>0$
and g is continuous, then w is continuous on
$[0, 1)\smallsetminus \{x, r(x)\in\{j-1,j\} \}$
. Moreover, letting
$\pm 1 = (-1)^j$
, we have (2.13)
\begin{align} & w(x^\pm) = \operatorname{Den}(x)^{-\tau} g(0) && (r(x) \in \{j-1, j\}), \notag\\ & w(x^\mp) = \operatorname{Den}(x)^{-\tau} g(1) && (r(x) = j), \\ & w(x^\mp) = 0 && (r(x)=j-1).\notag \end{align}
-
– If
$\operatorname{Re}(\tau)>2$
and g is of
$\mathcal{C}^1$
class, then w is of
$\mathcal{C}^1$
class on
$[0, 1)\smallsetminus \{x, r(x)\in\{j-1,j\} \}$
. When
$r(x)\not\in\{j-1, j\}$
, we have (2.14)Moreover, we have
\begin{align} w'(x) = \mathbf{1}(j\leqslant r(x)) \bigg\{& \tau g(T^j(x)) \sum_{i=0}^{j-1} (-1)^i \bigg(\prod_{0\leqslant \ell < i} T^\ell(x)\bigg)^{\!\tau-2} T^i(x)^{\tau-1} \bigg(\prod_{i<\ell<j} T^\ell(x)\bigg)^{\!\tau} \nonumber\\ {}& + (-1)^j g'(T^j(x)) \bigg(\prod_{0\leqslant \ell < j} T^\ell(x)\bigg)^{\!\tau-2}\bigg\}. \end{align}
(2.15)
\begin{align} & w'(x^\pm) = \operatorname{Den}(x)^{-\tau+2}\bigg(\tau g(0)\sum_{i=0}^{j-1}\frac{(-1)^i}{u_i(x)u_{i+1}(x)} \pm g'(0)\bigg) && (r(x) \in \{j-1, j\}), \notag\\ & w'(x^\mp) = \operatorname{Den}(x)^{-\tau+2} \bigg(\tau g(1)\sum_{i=0}^{j-1}\frac{(-1)^i}{u_i(x)u_{i+1}(x)} \pm g'(1)\bigg) && (r(x) = j), \\ & w'(x^\mp) = 0 && (r(x) = j-1).\notag \end{align}
-
– If
$\operatorname{Re}(\tau)>0$
and
$g\in\mathcal{C}^0$
, we have (2.16)while if
\begin{equation} \|w\|_\infty \leqslant \varpi^{\operatorname{Re}(\tau)(1 - j)} \|g\|_\infty, \end{equation}
$\operatorname{Re}(\tau)>2$
and
$g\in\mathcal{C}^1$
, we have (2.17)
\begin{equation} \|w'\|_\infty \leqslant j {| {\tau} |} \varpi^{(\operatorname{Re}(\tau)-2)(1-j)}(\|g\|_\infty + \|g'\|_\infty). \end{equation}
Remark 2.8. The bound (2.16) is essentially contained in the paper [Reference Marmi, Moussa and YoccozMMY97, Theorem 2.6]. This paper contains also results pertaining to
$L^p$
, Hölder and BMO regularity of products of the shape w(x). The proof of Lemma 2.7 and the arguments in [Reference Marmi, Moussa and YoccozMMY97] both make use of the iterative structure of w(x) (compare (2.18) below and [Reference Marmi, Moussa and YoccozMMY97, Equation (2.13)]), with the computation of the one-sided limits at rationals (2.13) and (2.15) requiring additional care.
Proof.
Value of w’. For the convenience of our argument, we start by noting that if
$g\in \mathcal{C}^1$
and
$\operatorname{Re}(\tau)>2$
, then whenever
$r(x)>j$
, the right-hand side of (2.12) defines a
$\mathcal{C}^1$
function in a neighborhood of x. When
$m\geqslant1$
, its derivative can be computed using the expression
\begin{align*} (T^i)'(x) = (-1)^i \bigg(\prod_{0\leqslant \ell < i}T^\ell(x)\bigg)^{\!{-}2}, \end{align*}
and this leads to the given formula for w’(x).
Regularity. We treat the continuity and differentiability claims simultaneously, proving the following more general assertion: given
$m\in\{0, 1\}$
,
$j\geqslant 1$
and
$\operatorname{Re}(\tau)>2m$
, if there is a countable set S for which g is
$\mathcal{C}^m$
on
$[0, 1]\smallsetminus S$
, then
$x\mapsto w(j, \tau, g)$
is
$\mathcal{C}^m$
on the set
We proceed by induction. Assume first
$j=1$
. We have
$r(x)\geqslant 1 \iff x\neq 0$
, so that
This function is easily seen to be
$\mathcal{C}^m$
at
$x\in[0, 1]$
whenever
$x>0$
,
$T(x) \in (0, 1)$
and
$T(x) \not \in S$
. These conditions amount to
$r(x) > 1$
and
$T(x) \not\in S$
, which gives our claim in the case
$j=1$
.
Let
$j>1$
, and suppose our claim is proven for
$j-1$
. Then we note that
By induction, the function
$x\mapsto w(x; j-1, \tau, g)$
is
$\mathcal{C}^m$
on
$[0, 1]\smallsetminus S'$
, where
The set S’ is again countable, since
$T^{j-1}$
has countably many inverse branches. From the case
$j=1$
of our claim, we deduce that
$x\mapsto w(x; j, \tau, g)$
is
$\mathcal{C}^m$
on
$[0, 1]\smallsetminus S''$
, where
by definition of S’. It remains to check that w is
$\mathcal{C}^m$
at x if
$r(x) = 0$
and
$j\geqslant 2$
, or if
$r(x) = 1$
and
$j\geqslant 3$
. But supposing
$r(x) = 1$
, we have for
$\varepsilon\to 0^+$
,
and therefore, we have in any case
$\lim_{y\to x} T(y) T^2(y) = O({| {x-y} |})$
. Thus, if
$j\geqslant 3$
and
$\operatorname{Re}(\tau)>2m$
, we then have as
$y\to x$
,
and so w is continuous at x, and differentiable there when
$m=1$
, with derivative 0. Moreover, if
$m=1$
, by the explicit expression (2.14) and the bounds above, we find
and therefore w is
$\mathcal{C}^m$
at x. A similar argument holds when
$r(x) = 0$
, and concludes the proof of our claim.
Limits of w. Assume
$r(x) = j$
. Note that for
$y\neq x$
in the neighborhood of x, we have
$r(y)>r(x)$
, and moreover
The expression given for
$w(x^\pm)$
and
$w(x^\mp)$
then follows upon taking the limit in the expression (2.12). The case when
$r(x)=j-1$
is similar, using instead the limits
Limits of w’. The expressions given for
$w'(x^\pm)$
when
$r(x) \in\{j-1, j\}$
follow from an argument identical to the computation of the limits
$w(x^\pm)$
. In the claimed formulae, we have used the notation (1.15) (for x rational).
Bounds. The bounds (2.16), (2.17) follow immediately from the explicit expressions above, along with the argument of [Reference Marmi, Moussa and YoccozMMY97, Proposition 1.4.(iv)].
2.3.1 Proof of Theorem 1.1. The domain of
$f^\triangleleft$
.
In this section we show that
$f^\triangleleft(x)$
is defined for all
$x\in\mathbb{R}$
. By periodicity, we can assume
$x\in (0,1)\smallsetminus\mathbb{Q}$
. We also recall that h is bounded on
$[-1,1]$
by hypothesis. We let
for
$y>0$
, and extend
$h_j$
at
$y=0$
by continuity, so that in particular
Thus, with this notation, (2.1) reads
It suffices to show that
$\sup |f(x')-f(x'')|\to0$
as
$\varepsilon\to0$
, where the sup is over all
$x',x''\in\mathbb{Q}$
with
$|x-x'|,|x-x''|<\varepsilon$
. Since
$x\not\in\mathbb{Q}$
, there exists
$m(x, \varepsilon) \to \infty$
as
$\varepsilon \to 0$
such that, for all
$x^* \in \mathbb{Q}$
,
${| {x-x^*} |}\leqslant \varepsilon$
, we have
$r(x^*)>m(x, \varepsilon)$
and
$b_j(x^*) = b_j(x)$
for
$j\leqslant m(x, \varepsilon)$
. It follows that both
$\operatorname{Den}(x^*) ^k$
and
$\sum_{j\geqslant m(x, \varepsilon) } w_j(x^*)$
(by (2.16)) tend to 0 as
$\varepsilon\to0^+$
. Thus, for any
$\eta>0$
, we have
$$ {| {f(x') - f(x'')} |} \leqslant \eta + \sum_{j=1}^{m(x, \varepsilon)-1} {| {w_j(x') - w_j(x'')} |}, \quad \forall x',x''\in (x-\varepsilon,x+\varepsilon)\cap \mathbb{Q}$$
for
$\varepsilon>0$
sufficiently small.
By Lemma 2.7, the function
$y \to w_j(y)$
is continuous at x and thus for
$x',x''\in (x-\varepsilon',x+\varepsilon')\cap \mathbb{Q}$
with
$\varepsilon'\in(0,\varepsilon)$
sufficiently small we have
${| {f(x') - f(x'')} |} \leqslant2\eta$
. Since
$\eta$
was arbitrary, this yields our claim.
In particular, approximating
$x = [0; b_1, b_2, \dotsc] \in(0, 1)\smallsetminus\mathbb{Q}$
by the sequence
$x_n = [0; b_1, \dotsc, b_n]$
, we get the normally converging series expression
for
$x\notin\mathbb{Q}$
. Notice that the same expression holds also for
$x\in\mathbb{Q}$
if
$f(0)=h(0^\pm)$
, by (2.21).
2.3.2 Proof of Theorem 1.1. The continuity of
$f^\triangleleft$
.
First, assume
$x\in(0,1)\smallsetminus\mathbb{Q}$
. Then, using the expression (2.22) and an identical argument as above, the continuity of
$f^\triangleleft$
at x follows immediately.
Assume, then, that
$x\in[0, 1]\cap\mathbb{Q}$
. Let
$r = r(x)$
and
$q=\operatorname{Den}(x)$
. By Lemma 2.1 for all
$y\neq x$
in a neighborhood of x, we have
$r(y)\geqslant r + 1$
, and therefore, with
$\pm = (-1)^{r}$
,
where the term
$O(\operatorname{Den}(y)^k)$
is to be ignored if
$y\not\in\mathbb{Q}$
. We let
$y\to x$
. First note that
$\operatorname{Den}(y)^k \to 0$
. Also, for
$j\not\in\{r, r+1\}$
, the function
$w_j$
is continuous by Lemma 2.7, and so the jth summand in the sum tends to 0. By dominated convergence, we deduce
\begin{align*} f^\triangleleft(y) - f(x) & = {} o(1) + q^k(h(0^\pm) - f(0)) + w_r(y) - w_r(x) + w_{r+1}(y)\\ & = {} o(1) + w_r(y) + w_{r+1}(y)- q^k f(0),\end{align*}
by (2.20). Finally, by (2.13) and since
$h_r(1) = h((-1)^r) = 0$
by (2.3), we have
\begin{equation} \begin{aligned} w_r(y) = {}& o(1) + q^k \begin{cases} h_r(0) & (\textrm{sgn}(y-x) = (-1)^r), \\ 0 & (\textrm{sgn}(y-x) = (-1)^{r+1}), \end{cases} \\ w_{r+1}(y) = {}& o(1) + q^k \begin{cases} 0 & (\textrm{sgn}(y-x) = (-1)^r), \\ h_{r+1}(0) & (\textrm{sgn}(y-x) = (-1)^{r+1}). \end{cases} \end{aligned} \end{equation}
Since
$h_r(0) = h(0^\pm)$
,
$h_{r+1}(0) = h(0^\mp)$
, then splitting in cases depending on the sign
$\pm$
and on whether
$y\to0$
from the right or the left, we find
$$ f^\triangleleft(y) - f(x) \to \begin{cases} q^k(h(0^+) - f(0)) & (y\to x^+), \\ q^k(h(0^-) - f(0)) & (y \to x^-), \end{cases} $$
as claimed. We also notice for later use that if h is continuous at zero, then (2.23) gives
2.3.3 Proof of Theorem 1.1. The differentiability of
$f^\triangleleft$
.
We argue by induction, starting from the case
$m=1$
. Assume that
$h\in\mathcal{C}^1([-1, 1])$
and
$\operatorname{Re}(k)<-2$
.
By Lemma 2.7 we have that
$w_j$
is of
$\mathcal{C}^1$
class on
$[0, 1)\smallsetminus \{x, r(x)\in\{j-1,j\}\}$
(and thus on any neighborhood of irrational numbers). In particular, by (2.22), (2.16) and (2.17), it follows that
$f^\triangleleft$
is differentiable on
$\mathbb{R}\smallsetminus\mathbb{Q}$
. The same argument also gives that
$\sum_{j\neq r,r+1} w_j(x)$
is differentiable at rationals. In particular, it suffices to show that the right and left derivatives of
$w_r(y)+w_{r+1}(y)$
coincide at rationals. To show this, we start by observing that from the period relation (1.2), proceeding as in [Reference ZagierZag99, Equation (23)], we have
In particular, taking the limit as
$x\to 0$
, we obtain
$h(1)=0$
and
$h'( 1) = k h(0)$
. Thus, since by (1.2) we have
$h(-1/x)=-|x|^{-k}h(x)$
, we find
$h'(- 1)=-kh(0)$
and thus
$h_j'(1)=kh(0)$
for all j. Thus, recalling that
$h_j(1)=0$
(and
$h_j'(0)=(-1)^j h(0)$
) and observing that
$$ -k\sum_{i=0}^{r(x)} \frac{(-1)^i}{u_i(x)u_{i+1}(x)} = -k\sum_{i=0}^{r(x)-1} \frac{(-1)^i}{u_i(x)u_{i+1}(x)} - (-1)^r k,\quad x\in\mathbb{Q}\cap(0,1), $$
we obtain from (2.15) that
thus giving that
$f^\triangleleft$
is differentiable at any
$x\in\mathbb{Q}\cap(0,1)$
. Finally, by (1.2), we see that
$f^\triangleleft$
is differentiable at 0 also, with
$(f^\triangleleft)'(0) = h'(0)$
. We conclude that
$f^\triangleleft$
is differentiable on [0, 1), hence on
$\mathbb{R}$
by periodicity. By (1.2), its derivative satisfies, for
$x\neq 0$
,
where
$h_1(x) := h'(x) - k\textrm{sgn}(x) {| {x} |}^{-k-1}f(-1/x)$
. The function
$h_1$
, extended at 0 by
$h_1(0)=h'(0)=(f^\triangleleft)'(0)$
, is continuous on
$[-1, 1]$
. We can then apply the continuity property proven in § 2.3.2 to
$(f^\triangleleft)'$
and deduce that
$(f^\triangleleft)'$
is continuous on [0, 1], and hence on
$\mathbb{R}$
.
If
$k<-2m$
and
$h\in\mathcal{C}^m$
, then this argument can be iterated m times, with functions
$(h_n)_{n\leqslant m}$
defined inductively by
2.3.4 Proof of Theorem 1.2. Extending f when h is unbounded.
We now justify Theorem 1.2. We assume that h satisfies (1.5). First note that, due to the fact that periodicity is assumed separately on
$\mathbb{R}_+$
and
$\mathbb{R}_-$
, we have the following variant of (2.1),
$$ f(x) = \sum_{j=0}^{r-1} \bigg(\prod_{i=0}^{j-1} T^i(x)\bigg)^{\!{-}k} h((-1)^j T^j(x)) + q^k f((-1)^r). $$
Lemma 2.9. Let
$\delta>0$
be such that the hypothesis (1.5) holds. Then f has the property
$\mathscr{S}(1+\delta)$
.
Proof. Let
$x = [b_0; b_1, b_2, \dotsc] \in \mathfrak{T}(m^{1+\delta})$
. By periodicity we can assume
$x\in[0,1)$
, that is
$b_0=0$
. If
$U:[0,1)\to\mathbb{R}$
is the inverse branch of
$T^m$
, given by
$U(y) = [0; b_1, \dotsc, b_m+ y]$
, then any
$x'\in V(m^{1+\delta}, m, x)$
is in the range of U. By [Reference Marmi, Moussa and YoccozMMY97, Proposition 1.14], we have
$$ \|(T^j\circ U)'\|_\infty = \sup_{y\in [0, 1]} \prod_{i=j}^{m-1} {| {T^i(U(y))} |}^2 \ll \varpi^{-2(m-j)}$$
uniformly for
$0\leqslant j < m$
, and therefore, for any
$x', x'' \in V(m^{1+\delta}, m, x)$
,
for
$j<m$
. We note also that
$T^j(x') \asymp T^j(x)$
for
$x' \in V(m^{1+\delta}, m, x)$
and
$j<m$
, with a uniform constant, and that the condition
$T^j(x') \gg \min(m^{-1-\delta}, j^{-1} (\log j)^{-2})$
holds uniformly over j. Finally, for any
$x'\in V(m^{1+\delta}, m, x)$
, the condition
$r(x')\geqslant m$
implies
$\operatorname{Den}(x') \geqslant \varpi^m$
by virtue of (1.16) (with
$j=r(x')$
).
Given
$x\in \mathfrak{T}(m^{1+\delta})$
and
$x'\in V(m^{1+\delta}, m, x)$
, with the same notation as in § 2.3.1 we have
\begin{equation*} f(x') = \sum_{0\leqslant j < m/2} w_j(x') + O\bigg(\operatorname{Den}(x)^{\operatorname{Re}(k)} + \sum_{j\geqslant m/2} \varpi^{\operatorname{Re}(k)j} \sup_{{| {y} |}\gg \min(m^{-1-\delta}, j^{-1}(\log j)^{-2})} {| {h(y)} |}\bigg). \end{equation*}
By our hypothesis (1.5), the second sum is
$\ll \sum_{j\geqslant m/2} \varpi^{\operatorname{Re}(k) j}({e}^{j^{1-\delta}(\log j)^2} + {e}^{O(m^{1-\delta^2})}) \ll \varpi^{\operatorname{Re}(k)m/3}$
, and therefore
We now let
$x', x'' \in V(m^{1+\delta}, m, x)$
be given. Taking differences in the expansion (2.25), we obtain
Denote temporarily
$ \Pi_j(y) := \prod_{0\leqslant i < j} T^i(y)$
, which is also
$u_j(y) / u_0(y)$
in the notation of § 1.4. By the definition (2.12), (2.19) of
$w_j$
, splitting the difference in
$w_j(x') - w_j(x'')$
, we get
\begin{align*} \sum_{0\leqslant j < m/2} {| {w_j(x') - w_j(x'')} |} \leqslant \sum_{0\leqslant j < m/2} (&{| {(h_j(T^j(x')) - h_j(T^j(x''))) \Pi_j(x'')^{-k}} |} \\ & + {| {h_j(T^j(x'))(\Pi_j(x')^{-k} - \Pi_j(x'')^{-k})} |} ). \end{align*}
Regarding the first term inside the sum, the bound (2.24) and our hypothesis (1.5), applied with some value of
$\varepsilon \asymp m^{-1-\delta}$
, give
${| {h_j(T^j(x')) - h_j(T^j(x''))} |} = o(1)$
as
$m\to \infty$
uniformly for all
$j<m/2$
. By the bound (1.16), we further have
$\Pi_j(y) \ll \varpi^{-j}$
uniformly for
$y\in[0, 1]$
and
$j\geqslant 0$
, and therefore
as
$m \to \infty$
. Regarding the second term, we have, as above,
$h_j(T^j(x')) \ll {e}^{m^{1-\delta^2}} + {e}^{j^{1-\delta} (\log j)^2}$
for all
$j\geqslant 0$
. We use the inequality
$u^{-k}-v^{-k} \ll_k {| {u-v} |}^{\min(1, -k)}$
, valid for
$0\leqslant u, v \leqslant 1$
, which gives in our case
Splitting the difference, we have
\begin{align*} {| {\Pi_j(x') - \Pi_j(x'')} |} \leqslant {}& \sum_{0\leqslant i \leqslant j} \Pi_{i-1}(x') \Pi_{j-i-1}(T^{i+1}(x'')) {| {T^i(x') - T^i(x'')} |} \\ \ll {}& \sum_{0\leqslant i \leqslant j} \varpi^{-i} \times \varpi^{-(j-i)} \times \varpi^{-2(m - i)} \\ \ll {}& \varpi^{-2m+j} \end{align*}
using our bound (2.24) and thus we conclude that
\begin{align*} & \sum_{0\leqslant j < m/2} {| {h_j(T^j(x'))(\Pi_j(x')^{-k} - \Pi_j(x'')^{-k})} |} \\ &\quad \ll \varpi^{-2m \min(-k, 1)} \sum_{j\geqslant 0} \varpi^{j\min(-k, 1)}({e}^{O(m^{1-\delta^2})} + {e}^{O(j^{1-\delta} (\log j)^2)}) \\&\quad \ll \varpi^{-m \min(-k, 1)/2}, \end{align*}
which tends to 0 as
$m\to \infty$
. Grouping our bounds, we deduce
$\Delta_{1+\delta}(m) \to 0$
when
$m\to\infty$
, as claimed.
We now turn to the proof of Theorem 1.2. Consider
$X = (\mathbb{R}\smallsetminus\mathbb{Q}) \cap \mathfrak{S}$
, where
$\mathfrak{S}$
is defined in Lemma 2.2, and let
$x\in X$
. In particular,
$x\in \mathfrak{T}(B)$
for some
$B>0$
, and therefore so do the convergents
$x_j$
of x. Summarizing, we have
$x_j\in \mathbb{Q}\cap\mathfrak{T}(B)$
for all j, and
$x_j \to x$
as
$j\to\infty$
. Since f has the property
$\mathscr{S}(1+\delta)$
by Lemma 2.9, the limit
$f^\triangleleft(x) := f^*(x) = \lim_{j\to\infty} f(x_j)$
in (2.9) exists.
Moreover, for any
$\varepsilon$
, by Lemma 2.2 we can find
$B>0$
such that
$X_\varepsilon :=(\mathbb{R}\smallsetminus\mathbb{Q}) \cap \mathfrak{T}(B) \subset X$
satisfies
$\nu(X_\varepsilon\cap [0, 1])\geqslant 1-\varepsilon$
. This set is also trivially invariant by
$x\mapsto x+1$
. Let
$y\in X_\varepsilon$
and
$\eta>0$
be arbitrary. We pick an integer
$m\geqslant B^{1/(1+\delta)}$
such that the right-hand side of (2.10) has modulus at most
$\delta$
. Having chosen m, and since
$y\not\in\mathbb{Q}$
, we may find
$\xi>0$
such that any number
$x\in (\mathbb{R}\smallsetminus\mathbb{Q})\cap[y-\xi, y+\xi]$
satisfies
$b_j(x) = b_j(y)$
for
$j\leqslant m$
. Now let
$x\in X_\varepsilon \cap[y-\xi, y+\xi]$
be arbitrary. Then
$x\in \mathfrak{T}(B)$
by definition, and therefore the formula (2.10) gives
${| {f^\triangleleft(x) - f^\triangleleft(y)} |} \leqslant \eta$
. We have thus proven that
$f^\triangleleft|_{X_\varepsilon}$
is continuous at y with the restricted topology, as claimed.
2.4 The case of
$\operatorname{Re}(k)>0$
.
2.4.1 Proofs of Theorems 1.4 and 1.5. The domain and continuity of
$f^\triangleright$
.
For the purpose of studying the example of the Kontsevich function (1.12), it will be convenient to generalize the period relations to
\begin{equation} \begin{cases} f(x+1) = \vartheta f(x) & (x\in \mathbb{Q}), \\ h(x) = f(x) - \vartheta^{\pm 3} {| {x} |}^{-k} f(-1/x) & (\pm x \in \mathbb{Q}_{>0}), \end{cases}\end{equation}
where
$\vartheta$
is some fixed root of unity. Define
\begin{align} \vartheta_j = \vartheta_j(b_1, b_2, \dotsc) = \begin{cases} \vartheta^{\sum_{i=1}^j (-1)^i b_i} & (j\text{ even}), \\ \vartheta^{3+\sum_{i=1}^j (-1)^i b_i} & (j\text{ odd}), \end{cases}\end{align}
where
$b_1, b_2, \dotsc$
are integers. By arguing in the same way as (2.2), we find for
$x = [0; b_1, \dotsc, b_r]$
that
\begin{equation} f(x) = \sum_{j=0}^{r-1} \vartheta_j\, \bigg(\frac{u_j}{u_0}\bigg)^{\!{-}k} h\bigg((-1)^j \frac{u_{j+1}}{u_j}\bigg) + \vartheta_r u_0^k f(0).\end{equation}
Note that by the period relation, we have
which confirms that the expression (2.28) holds for
$x = [0; b_1, \dotsc, b_r]$
regardless of whether this expansion is canonical (
$b_r>1$
if
$r>1$
) or not. Similarly to (2.4), we may then work with r odd, for which we observe that
Changing j to
$r-j$
in the sum (2.28), and using the notation (1.17), we deduce that for
$x = [0; b_1, \dotsc, b_r]$
, r odd, we have
where now
$\Psi(y)$
is defined for
$y = [0; c_1, \dotsc, c_r]$
, r odd, as
\begin{equation} \Psi(y) = \sum_{j=1}^r \vartheta_j^{-1}(y) v_j(y)^{-k} h\bigg((-1)^j \frac{v_{j-1}(y)}{v_j(y)}\bigg) + f(0),\end{equation}
where, whenever the expansion
$x = [0;b_1, \dotsc, b_r]$
is clear from the context, we denote
but this quantity in fact depends on the tuple
$(b_j)$
representing x.
In the case of
$\operatorname{Re}(k)>0$
and
$h(x)=O(|x|^{-\operatorname{Re}(k)})$
for
$x\in[-1,1]\smallsetminus\{0\}$
, the existence of
$f^\triangleright$
for all
$x\in\mathbb{R}$
is straightforward. Indeed, by (2.28) we have
\begin{align} f^\triangleright(x)=\begin{cases} \Psi( x) & \text{if }x\in\mathbb{Q}, \\ {\displaystyle \lim_{\mathbb{Q}\ni y\to x}\Psi( y)} & \text{if }x\notin\mathbb{Q}, \end{cases}\end{align}
where the limit exists by virtue of the fact that the sum in (2.28) is uniformly convergent and for each j,
$v_j(y)$
depends only on finitely many of the functions
$y \mapsto b_j(y) = {\lfloor {1/T^{j-1}(y)} \rfloor}$
which are locally constant at irrationals. Note that for irrational
$x=[0;c_1,c_2,\ldots]$
we simply have
\begin{equation} f^\triangleright(x)=\sum_{j=1}^{\infty}\vartheta_j^{-1}v_{j}^{-k} h\bigg((-1)^{j-1}\frac{v_{j-1}}{v_{j}}\bigg)+f(0).\end{equation}
The continuity of
$f^\triangleright$
on
$\mathbb{R}\smallsetminus\mathbb{Q}$
when
$h(x)=O(|x|^{-\operatorname{Re}(k)})$
is immediate from (2.33). Suppose
$x=[0;b_1,\ldots,b_r]\in\mathbb{Q}$
with r odd. If
$x'\to x^-$
with x’ sufficiently close to x, then we have
$x'=[0;b_1,\ldots,b_r,b',b_{r+2}',\ldots]$
with
$b'\to\infty$
. It follows immediately from the definition that
$f^\triangleright(x')\to f^\triangleright(x)$
if
$h(x)=o(|x|^{-\operatorname{Re}(k)})$
as
$x\to0$
, and so under this assumption
$f^\triangleright$
is continuous at x from the left. Next, let
$x'\to x^+$
, then if
$b_r>1$
we have
$x'=[0;b_1,\ldots,b_r-1,1,b',b'_{r+2},\ldots]$
with
$b'\to\infty$
. Note that
Then, under the hypothesis
$h(x)=o(|x|^{-\operatorname{Re}(k)})$
, by (2.30) and the relations (2.26), we obtain
\begin{align*} f^\triangleright(x')-f^\triangleright(x) = {}& \vartheta_r^{-1} q^{-k} \bigg(\vartheta^{-1} (1-\overline x)^{-k} h\bigg(\frac{\overline x}{1-\overline x}\bigg) + \vartheta h(\overline x-1) - h(\overline x)\bigg) + o(1) \\ = {}& \vartheta_r^{-1} q^{-k} \bigg( \vartheta^{-1}(1-\overline x)^{-k}f\bigg(\frac{\overline x}{1-\overline x}\bigg) + \vartheta h(\overline x - 1) - f(\overline x) \bigg)+o(1) \\ = {}& o(1)\end{align*}
as
$b'\to\infty$
. If
$b_r=1$
, then
$x'=[0;b_1,\ldots,b_{r-1}+1,b',b'_{r+1},\ldots]$
with
$b'\to\infty$
. We then obtain in a similar way
\begin{align*} f^\triangleright(x')-f^\triangleright(x) = {}& \vartheta_r^{-1}q^{-k}\bigg( \vartheta h(\overline x - 1) - h(\overline x) - \vartheta^2 (\overline x)^{-k} h\bigg(\frac{\overline x - 1}{\overline x}\bigg) \bigg) + o(1) \\ = {}& o(1),\end{align*}
which goes to 0 as
$x'\to x^+$
, and concludes the proof that
$f^\triangleright$
is continuous on
$\mathbb{R}$
. This proves the first part of Theorem 1.4.
Assume now that f is not (twisted) periodic, but instead satisfies
$f(x) = \vartheta f(x+1)$
only for
$x \in \mathbb{Q}\smallsetminus[-1, 0]$
, and that h satisfies
$h(x)=O({e}^{|x|^{-1+\delta}})$
for some
$\delta>0$
. In this situation, we use Proposition 2.5 to extend
$\Psi$
.
Lemma 2.10. Let
$\delta>0$
, and assume that f satisfies
$$\begin{equation*} \begin{cases} f(x+1) = \vartheta f(x) & (x\in \mathbb{Q}\smallsetminus[-1, 0]), \\ h(x) = f(x) - \vartheta^{\pm 3} {| {x} |}^{-k} f(-1/x) & (\pm x \in \mathbb{Q}_{>0}), \end{cases} \end{equation*}$$
and that the map h defined through (1.2) satisfies
$h(x) = O({e}^{|x|^{-1+\delta}})$
. Then the formula (2.29) holds with
$$ \Psi(y) := \sum_{j=1}^r \vartheta_j^{-1}(y) v_j(y)^{-k} h\bigg((-1)^j \frac{v_{j-1}(y)}{v_j(y)}\bigg) + \vartheta^{-1} f(-1) \quad (y=[0;c_1, \dotsc, c_r]; r\text{ odd}), $$
and the map
$\Psi$
has the property
$\mathscr{S}(1+\delta)$
.
Proof. The verification that Equations (2.29) and (2.30) hold, with f(0) replaced with
$\vartheta^{-1}f(-1)$
, is straightforward. Let
$B = m^{1+\delta}$
,
$x\in \mathfrak{T}(B)$
and
$x', x'' \in V(B, m, x)$
. Note, in particular, that
$b_j(x') = b_j(x'')$
for all
$j\leqslant m$
, and therefore also
$v_j(x') = v_j(x'')$
and
$\vartheta_j(x') = \vartheta_j(x'')$
. We deduce
$$ {| {\Psi(x') - \Psi(x'')} |} \leqslant \sum_{j=m+1}^{r(x')} v_j(x')^{-\operatorname{Re}(k)} {\bigg| {h\bigg(\!(-1)^j \frac{v_{j-1}(x')}{v_j(x')}\bigg)} \bigg|} + \sum_{j=m+1}^{r(x'')} v_j(x'')^{-\operatorname{Re}(k)} {\bigg| {h\bigg(\!(-1)^j \frac{v_{j-1}(x'')}{v_j(x'')}\bigg)}\! \bigg|}. $$
Since
$x'\in\mathfrak{T}(B)$
, we also have
$v_{j-1}(x') / v_j(x') \gg 1/b_j(x') \gg j^{-1}(\log j)^{-2} + B^{-1}$
. The same holds for x”. By our hypothesis on h, and combining this with (1.18), we deduce
which tends to 0 as
$m\to \infty$
, uniformly in x, x’, x”. This shows the property
$\mathscr{S}(1+\delta)$
for
$\Psi$
.
Letting
$f^\triangleright(x) := \Psi^*(x)$
with the notation of Proposition 2.5, the deduction Theorem 1.5 follows by arguments identical to those of § 2.3.4, which were used to prove Theorem 1.2.
2.4.2 Proof of Theorem 1.4. The differentiability of
$f^\triangleright$
.
We assume here the hypotheses of Theorem 1.4, in particular, that
$h(x)=O(|x|^{-\operatorname{Re}(k)})$
for
$0<|x|<1$
. Let
$X = \mathfrak{S}$
be as in Lemma 2.2, let
$\varepsilon>0$
and suppose
$x=[0;b_1,b_2,\ldots] \in \mathfrak{S}$
. Let
$m := m(x,\varepsilon)$
be as in § 2.3.1. Let
$x'\in(0,1)$
be such that
$|x-x'|<\varepsilon$
, so that
$x'=[b_1,\ldots,b_m,b_{m+1}',\ldots]$
. Let
$n\geqslant m$
be the least integer such that
$b_{n+1}\neq b_{n+1}'$
. We write
$x=[0;b_1,\ldots,b_n,z]$
and
$x'=[0;b_1,\ldots,b_n,z']$
with
$z=[b_{n+1};b_{n+2},\ldots]$
,
$z'=[b'_{n+1};b'_{n+2},\ldots]$
(and
$b_{n+1}\neq b_{n+1}'$
by hypothesis). By standard properties of continued fractions, we have
This is
$\gg b_{n+1}^{-2}v_n^{-2}$
, unless
$b_{n+1}-b_{n+1}'$
is equal to 1 or
$-1$
. In the first case we have
$z-z'=1+1/({b_{n+2}+y})-1/({b_{n+2}'+y'})\geqslant b_{n+2}^{-1}$
for some
$0\leqslant y,y'\leqslant1$
. In the second case we have
$z'-z=1-1/({b_{n+2}+y})+1/({b_{n+2}'+y'})\geqslant y/2\geqslant -(b_{n+3}+1)^{-1}$
. Since
$x\in \mathfrak{S}$
, in all cases we have
$\varepsilon>|x-x'|\gg_x v_{n}^{-2} n^{-3}(\log n)^{-6} \gg v_n^{-2} (\log v_n)^{-4}$
.
Finally, we have
\begin{align*} f^\triangleright(x)-f^\triangleright(x')\ll \sum_{j\geqslant {n+1}}\frac{1}{v_{j-1}^{\operatorname{Re}(k)}}+\sum_{j\geqslant {n+1}}\frac{1}{v_{j-1}^{\prime\,\operatorname{Re}(k)}} \ll v_n^{-\operatorname{Re}(k)} \ll_x \varepsilon^{\operatorname{Re}(k)/2}|\log \varepsilon|^{\operatorname{Re}(k)}\end{align*}
and so it follows that
$f^\triangleright$
is locally
$\alpha$
-Hölder continuous at x, for any
$\alpha<\frac12\operatorname{Re}(k)$
. This completes the proof of Theorem 1.4.
3. Limiting distributions of quantum modular forms
3.1 Convergence in distribution
3.1.1 Almost sure stability of the CF expansion.
First we need the following lemmas.
Lemma 3.1. Let
$q\geqslant2$
and let
Then
$|\mathfrak{A}_q|=\varphi(q)(1+o(1))$
as
$q\to\infty$
, where
$\varphi$
denotes Euler’s totient function.
Proof. This is a special case of [Reference RukavishnikovaRuk06].
Lemma 3.2. Let
$q\geqslant2$
and let
Then
$\nu(\mathfrak{T}_q)=1+o(1)$
as
$q\to\infty$
.
Proof. This is a consequence of Lemma 2.2 with
$B=(\log q)(\log\log q)^2$
.
We can now deduce the following two lemmas, which show that
$f^\triangleright$
and
$f^\triangleleft$
can be well approximated by their values at suitable close-by rationals. Here again, we will obtain this as a consequence of the property
$\mathscr{S}(\lambda)$
for some
$\lambda>1$
.
Lemma 3.3. Suppose that there exists
$\lambda>1$
such that
$f:\mathbb{Q}\to\mathbb{C}$
has the property
$\mathscr{S}(\lambda)$
. Then the map
$f^*$
defined in Proposition 2.5 satisfies
as
$q\to\infty$
, uniformly for a and x within the stated sets.
Proof. Let
$B := (\log q)(\log\log q)^2$
. We assume first
$x\in(a/q, (a+q^{1/4})/q)$
, and we let
$m:=2\lceil B^{1/\lambda}\rceil+1$
, so that, in particular,
$m=(\log q)^{1/\lambda+o(1)}$
as
$q\to\infty$
. Let
$a\in \mathfrak{A}_q$
, denote
$x' := a/q$
and let
$x\in(a/q, (a+q^{1/4})/q)$
with either
$x \cap \mathfrak{T}_q$
or
$x=b/q$
, where
$b\in \mathfrak{A}_q$
. We wish to prove that
as
$q\to\infty$
, with a rate of decay depending at most on h. This follows from Proposition 2.5 if we can prove that
$x, x'\in \mathfrak{T}(B)$
,
$r(x) \geqslant m$
and
$b_j(x) = b_j(x')$
for
$j\leqslant m$
. The fact that
$x, x' \in \mathfrak{T}(B)$
follows by definition. Write
$x' = a/q = [0; b_1, \dotsc, b_r]$
. Note that
$r\ll \log q$
by Euclid’s algorithm, so that by definition of
$\mathfrak{T}(B)$
and our choice of B, we have
$b_j \ll (\log q)(\log\log q)^2$
. By induction (see the proof of Theorem 31 in [Reference KhintchineKhi63]), we have
$q^{1/r} \leqslant 2 (b_1 \dotsc b_r)^{1/r} \ll (\log q)(\log \log q)^2$
, and therefore
$r \gg (\log q)/\log\log q$
. We deduce that
$r(x') \geqslant m$
for q large enough. Finally, let
$a^* / q^* := [0, b_1, \dotsc, b_m]$
be the mth convergent of
$a/q$
. Then we have
$(q^*)^{1/m} \ll (\log q)(\log\log q)^2$
as above, and therefore
$\log(q^*) \ll m \log\log q = o(\log q)$
as
$q\to\infty$
. In particular,
$q^*<q^{1/3}$
for q large enough. Since m is odd, we deduce
for q large enough. In particular, any
$x\in (a/q, ({a+q^{1/4}})/q)$
satisfies
$a/q<x<a^*/q^*$
, and it follows that
$b_j(x) = b_j(a/q)$
for
$j\leqslant m$
. This concludes the proof.
The remaining case
$x\in((a-q^{1/4})/q, a/q)$
follows by an identical argument taking m even instead of odd.
3.1.2 Proof of Theorems 1.3 and 1.7: The convergence in distribution.
Let
$\delta>0$
. We now assume that either
$\operatorname{Re}(k)<0$
and h satisfies (1.5), or
$\operatorname{Re}(k)>0$
and h satisfies
$h(x) = O({e}^{{| {x} |}^{-1+\delta}})$
. Let
$f^*$
be either
$f^\triangleleft$
or
$f^\triangleright$
, depending on the sign of
$\operatorname{Re}(k)$
. By Lemmas 2.9 and 2.10, the map
$f^*$
satisfies the conclusion of Lemma 3.3.
We will show that for any function
$G\in\mathcal C_c^\infty(\mathbb{C})$
, we have
\begin{equation*} \mathcal{R} := \frac1{\varphi(q)} \sum_{\substack{a=0 \\ (a, q)=1}}^{q-1} G(f^*(a/q))=\int_0^1 G(f^*(x))\,\mathop{}\!{d} \nu+o(1)\end{equation*}
as
$q\to\infty$
.
For
$0\leqslant j < q^{3/4}$
, let
$I_j:=[j q^{1/4},(j+1)q^{1/4}]\cap [0,q].$
If
$j<q^{3/4}-1$
, by a standard estimate [Reference Fouvry and TenenbaumFT91, Equations (1.13), (4.11)], we have
\begin{equation} \sum_{a\in \mathfrak{A}_q\cap I_j}1\leqslant \sum_{\substack{(a, q)=1 \\ a\in I_j}} 1 = \frac{\varphi(q)}{q}q^{1/4}+ O(q^{1/10 }).\end{equation}
Given
$\varepsilon\in(0, 1)$
, we let
$E_{\pm}=\{j \mid \pm ( \# I_{j}\cap \mathfrak{A}_q-\varphi(q)q^{-3/4}) > \varepsilon \varphi(q)q^{-3/4}\}$
and
$E=E_{+}\cup E_-$
. By (3.2) it is clear that
$E_+$
is empty if we assume q is large enough. Also, summing (3.2) over
$j\notin E_{-}$
, we deduce from Lemma 3.1 that
$\# E=\# E_{-}=O(\varepsilon q^{3/4})$
. Now, for each
$j\notin E$
we fix any
$y_j\in I_{j}\cap \mathfrak{A}_q$
. Since
$\|G\|_\infty, \|G'\|_\infty<\infty$
, by Lemma 3.1 and Equations (3.2) and (3.1), we have
\begin{equation*} \begin{split} \mathcal{R} {}& = \frac1{\varphi(q)} \sum_{a\in \mathfrak{A}_q} G(f^*(a/q)) + o(1) \\ &{}= \frac1{\varphi(q)} \sum_{\substack{0\leqslant j \leqslant q^{3/4}\\ j\notin E}} \sum_{a\in I_j\cap \mathfrak{A}_q} G(f^*(a/q)) + o(1)+O(\varepsilon)\\ &{}= \frac1{\varphi(q)} \sum_{\substack{0\leqslant j \leqslant q^{3/4}\\ j\notin E}} G(f^*(y_j)) \sum_{a\in I_j\cap \mathfrak{A}_q} 1+ o(1)+O(\varepsilon). \end{split}\end{equation*}
For
$j\notin E$
the inner sum is
$({\varphi(q)}/{q})q^{1/4}(1+O(\varepsilon))$
and thus by (3.1) and Lemma 3.2 we deduce
\begin{align*} \mathcal{R} {} &{}= \frac1{q^{3/4}} \sum_{\substack{0\leqslant j \leqslant q^{3/4}\\ j\notin E}} G(f^*(y_j)) + o(1)+O(\varepsilon)\\ &{}= \sum_{\substack{0\leqslant j \leqslant q^{3/4}\\ j\notin E}} \int_{(\frac1qI_j)\cap \mathfrak{T}_q}G(f^*(x)) \mathop{}\!{d} x + o(1)+O(\varepsilon)\\ &{}= \int_{ \mathfrak{T}_q}G(f^*(x)) \mathop{}\!{d} x + o(1)+O(\varepsilon)\\ &{}= \int_{ [0,1]}G(f^*(x)) \mathop{}\!{d} x + o(1)+O(\varepsilon),\end{align*}
since
$\nu(\cup_{j\in E}((1/q)I_j))=O(\varepsilon)$
. Letting
$\varepsilon\to0$
sufficiently slowly, we obtain the claimed result.
3.2 Proof of Theorem 1.3: Diffuseness when
$\operatorname{Re}(k)<0$
We now focus on the case
$\operatorname{Re}(k)<0$
and aim to show the second part of Theorem 1.3.
Proposition 3.4. Let k, f,
$f^\triangleleft$
and h as in Theorem 1.2 and let
$\phi:\mathbb{C}\to\mathbb{R}$
be a linear form. Assume further that h is real-analytic on
$(-1,1)\smallsetminus\{0\}$
. Assume that for some choice of sign
$\pm$
, there exists a set of positive measure
$C \subseteq {\pm \mathbb{R}_{>0}}$
and a constant
$\alpha \in\mathbb{R}$
such that
$\phi(f^\triangleleft(x))=\alpha$
for
$x\in C$
. Then
$\phi(f^\triangleleft(x))=\alpha$
for almost all
$x\in \pm \mathbb{R}_{>0}$
.
This clearly implies the second part of Theorem 1.3 and concludes its proof.
Proof of Proposition 3.4. We start with the case
$k\in\mathbb{R}$
. Since the real part of a real-analytic function is real-analytic, we have that
$\phi\circ f$
is a quantum modular form of weight k and real-analytic period function
$\phi\circ h$
. In particular, we can assume that f is real valued and that
$\phi$
restricted to
$\mathbb{R}$
is the identity function.
By Theorems 1.1 and 1.2, there exists a full measure set X with
$f^\triangleleft$
well defined on X. Note that Equation (1.2) holds on
$X\smallsetminus\{0\}$
with f replaced by
$f^\triangleleft$
, by taking the limit along convergents and using the definition (1.6). We also recall that in our proof of Theorem 1.2, the set X was taken to be
$X=\mathfrak{S}$
from Lemma 2.2. It is clear that
$\mathfrak{S}$
is closed under any fixed inverse branch of the Gauss map. We may thus assume that X has this property.
We assume
$C\subseteq \mathbb{R}_{>0}$
, the other case being analogous. Also, by periodicity we can assume
$ C\subseteq [0,1]\cap X$
. For any
$\varepsilon>0$
, by Lebesgue’s density theorem we can find an interval
$I\subseteq (0,1)$
such that
$\nu(C\cap I)\geqslant (1-\varepsilon) \nu(I)$
. It follows that there exists an even
$g\in\mathbb{N}$
and an inverse branch
$U_{\boldsymbol b}$
of
$T^g$
given by
$U_{\boldsymbol b}(y) = [0; b_1, \dotsc, b_g+ y]$
for some coefficients
${\boldsymbol b} = (b_1, \dotsc, b_g)\in\mathbb{N}^g$
, such that
$D := \{x\in [0,1]\cap X\mid U_{\boldsymbol b}(x)\in C\}$
has measure
$1-O(\varepsilon)$
. Repeatedly applying the reciprocity formula to
$U_{{\boldsymbol b}}(x)$
for any
$x\in D$
, we have
\begin{equation} \alpha= f^\triangleleft( U_{{\boldsymbol b}}(x)) = \sum_{j= 0}^{g-1} \bigg(\prod_{i=0}^{j-1} T^i(U_{{\boldsymbol b}}(x))\bigg)^{\!{-}k} h((-1)^j T^j(U_{{\boldsymbol b}}(x)))+\bigg(\prod_{i=0}^{g-1} T^i(U_{{\boldsymbol b}}(x))\bigg)^{\!{-}k}f^\triangleleft (x). \end{equation}
Note that
$T^i\circ U_{\boldsymbol b}$
is a smooth map, and in fact a homography, for any
$i\leqslant g$
. In particular, solving for
$f^\triangleleft(x)$
, we obtain that
$f^\triangleleft$
is given on D by a function which is real-analytic on (0,1). For
$\varepsilon$
sufficiently small we must have
$\nu(C\cap D)\geqslant \nu(C)-\nu([0,1]\smallsetminus D)>0$
, and thus by analytic continuation this implies that
$f^\triangleleft(x)=\alpha$
for all
$x\in D$
. Since
$\varepsilon>0$
is arbitrary, we conclude that
$f^\triangleleft(x)=\alpha$
for a subset of (0,1) of measure 1.
Now, let us assume
$k\not\in\mathbb{R}$
and write
$k=k_1+ik_2$
with
$k_i\in\mathbb{R}$
,
$k_2\neq0$
. We assume
$\phi(z)=\operatorname{Re}(z)$
, the general case being analogous. We let
$\alpha\in\mathbb{R}$
such that
$\operatorname{Re}(f^\triangleleft(x))=\alpha$
for a set
$C\subseteq[0,1]$
of positive measure. As in the case
$k\in\mathbb{R}$
, given
$\varepsilon>0$
we can find
${\boldsymbol b}\in\mathbb{N}^g$
such that
$D:=\{x\in [0,1]\cap X\mid U_{\boldsymbol b}(x)\in C\}$
has measure
$1-O(\varepsilon)$
. Since (0,1] can be written as the disjoint union
$(0,1]=\cup_{c\geqslant 1}U_{(c)}((0,1])$
, we have
In particular,
$\nu(\{x\in U_c((0,1])\mid U_{\boldsymbol b}(x)\notin C\})=O(\varepsilon)$
for all
$c\in\mathbb{N}$
and thus also
$\nu(\{x\in (0,1]\mid U_{({\boldsymbol b},c)}(x)\notin C\})=O(K^2\varepsilon)$
for all
$c\leqslant K$
. Letting
$D_c := \{x\in [0,1]\cap X\mid U_{({\boldsymbol b},c)}(x)\in C\}$
, we then have
$\nu(D_c)=1-O(\sqrt[3]{\varepsilon})$
for all
$c\leqslant K:=\varepsilon^{-1/3}$
.
Next, we write the formula (3.3) with
${\boldsymbol b}_1=({\boldsymbol b},c_1)$
and
${\boldsymbol b}_2=({\boldsymbol b},c_2)$
in place of
${\boldsymbol b}$
for some
$c_1,c_2\leqslant K$
. Taking the real part of the resulting equations, for
$x \in D':=D_{c_1}\cap D_{c_2}$
we find
where for
$j=1,2$
we have that
$B_j(x)=(\prod_{i=0}^{g} T^i(U_{({\boldsymbol b},c_j)}(x)))^{-1}$
and
$A_j$
is real-analytic on (0,1). Notice that
$B_j(x)=v_{g-1}+(c_j+x)v_{g}$
, where
$v_{g-1}$
and
$v_g$
are the partial denominators of
$[0;b_1,\ldots,b_{g-1}]$
and
$[0;b_1,\ldots,b_{g}]$
, respectively. In particular, if
$c_1,c_2\in[\sqrt K, K]$
then
$B_2(x)/B_1(x)={c_2}/{c_1}+O(\sqrt[6]\varepsilon)$
uniformly in
$x\in[0,1]$
.
Writing
$L_j(x):=k_2\log(B_j(x))$
, Equation (3.4) becomes
This is a system in
$\operatorname{Re}(f^\triangleleft (x)),\operatorname{Im}(f^\triangleleft (x))$
of determinant
$B_1(x)^{k_1}B_2(x)^{k_1}\sin(L_1(x)-L_2(x))$
and solving for
$\operatorname{Re}(f(x))$
we find
on
$x\in D'$
. Now, for
$\varepsilon$
sufficiently small, we have
uniformly for
$x\in[0,1]$
. Thus, for
$\varepsilon$
sufficiently small we can find
$c_1,c_2\in \mathbb{N}\cap [\sqrt K,K]$
such that
$\sin(L_1(x)-L_2(x))$
does not vanish on
$(0,1).$
For this choice one has that the right-hand side of (3.5) is analytic on (0,1). Since
$\nu(D')=1-O(\sqrt[3]\varepsilon)$
, we then reach the conclusion as in the case
$k\in\mathbb{R}$
.
3.3 The continuity of the cumulative distribution function when
$\operatorname{Re}(k)>0$
We prove the following generalization of Theorem 1.7. Also, as in § 2.4.1, we allow for a twist by a root of unity
$\vartheta$
and assume f satisfies (2.26).
Theorem 3.5. Let
$\phi:\mathbb{C}\to\mathbb{R}$
be a linear form,
$\operatorname{Re}(k)>0$
, and let
$h:\mathbb{R}\smallsetminus\{0\}\to\mathbb{R}$
be a function satisfying either of the following two conditions.
-
(1*) The function h extends to a continuous function on
$[-1,1]$
, and either
$\operatorname{Im} k = 0$
and there exists
$p\in\mathbb{Z}$
,
$\alpha\in(-1, 1)$
such that
$\phi(\vartheta^p h(\alpha)) \neq 0$
; or
$\operatorname{Im} k \neq 0$
and there exists
$\alpha\in(-1, 1)$
such that
$h(\alpha)\neq 0$
. -
(2*) One has
$\lim_{x\to 0^\pm}|h(x)|=\infty$
for a choice of
$\pm$
, there exists
$\delta\in(0,1)$
such that
$h(x)\ll {e}^{|x|^{-1+\delta}}$
for
$|x|\leqslant1$
and-
– either
$\operatorname{Im}(k)=0$
and there exists
$p\in\mathbb{Z}$
such that for all small
$\varepsilon>0$
, (3.6)
\begin{equation} \liminf_{x\to 0^\pm} \inf\bigg\{\bigg|\phi\bigg(\vartheta^p \frac{h(x)-{u} ^k h({u} x)}{|h(x)|} \bigg)\bigg|: {| {\log {u}} |} \in (\varepsilon, \varepsilon^{2/3})\bigg\} > 0; \end{equation}
-
– or
$\operatorname{Im}(k)\neq0$
and there exists
${\beta}\in\mathbb{R}$
such that for all small
$\varepsilon>0$
, (3.7)
\begin{equation} \liminf_{x\to 0^\pm} \inf\bigg\{\bigg|\phi\bigg({e}(\alpha) \frac{ h(x)- {u}^{k} h({u} x)}{|h(x)|} \bigg)\bigg|: |\log {u}| \in (\varepsilon, \varepsilon^{2/3}), |\alpha-{\beta}| < \varepsilon^{2/3} \bigg\} > 0. \end{equation}
-
Then the CDF of
$(\phi\circ f^\triangleright)_\ast( \nu)$
is continuous.
Remark 3.6.
-
– The hypotheses could be relaxed somehow. For instance, instead of (1*), it suffices to ask that h has finite left and right limits at certain rationals along with a non-vanishing condition. This will be clear from our arguments. One could also deal with some cases when the limits (3.6) and (3.7) are zero, as long as one can control the asymptotic of these quantities as
$x\to 0$
. We refer to Remark 3.15 below, as well as to the proof of Corollary 1.14 when
$a=0$
for an example where this consideration is relevant. -
– When h is continuous on
$[-1, 1]$
, the condition (1*) is clearly necessary, since otherwise
$\phi \circ f^\triangleright$
vanishes identically on [0, 1]. -
– Some condition of the type (2*) is necessary in order to prevent examples such as
$h(x) = 1 - {| {x} |}^{-k}$
, for which the function f is constant.
Proof of the second part of Theorem 1.7. Assume first that h is continuous on
$[-1, 1]$
and non-zero. Then the hypothesis (1*) is clearly satisfied with either
$\phi=\operatorname{Re}$
or
$\phi=\operatorname{Im}$
. We deduce that
$(\phi \circ f^\triangleright)_\ast(\nu)$
is diffuse, and therefore so is
$f^\triangleright_\ast(\nu)$
.
Assume next that
$h(x)\ll{e}^{{| {x} |}^{-1+\delta}}$
on
$[-1, 1]\smallsetminus\{0\}$
and
$h(x) \sim c x^{-\lambda}$
as
$x\to 0^+$
. Then for
${| {\log {u}} |} \leqslant 1$
, we deduce that as
$x\to0^+$
,
if additionally
${| {\log {u}} |} \geqslant \varepsilon$
. Similarly as above, we deduce that hypothesis (2*) holds for
$\phi=\operatorname{Re}$
or
$\phi=\operatorname{Im}$
and we deduce that
$f^\triangleright_\ast(\nu)$
is diffuse.
This shows that the second part of Theorem 1.7 holds, and concludes its proof.
Remark 3.7. When
$h(x) = c x^{-\lambda}$
with
$\lambda$
satisfying
$\operatorname{Re}(k)>0$
but
$\lambda\not\in\mathbb{R}$
, hypothesis (2*) no longer holds, but it is plausible that our arguments could be adapted by further localizing the values of x involved in (3.6) and (3.7). We do not pursue this here.
We first give the following lemma.
Lemma 3.8. Let
$F:[0, 1]\to \mathbb{R}$
be measurable. Assume that for each
$\varepsilon>0$
, we can find a countable collection
$(S_j)_j$
of disjoint measurable subsets of [0, 1], such that
and for each j and
$y\in S_j$
,
Then
$F_*(\nu)$
is continuous.
Proof. Let
$a\in\mathbb{R}$
, and
$X=F^{-1}(\{a\})$
. Let
$\varepsilon>0$
be arbitrary, and
$(S_j)_j$
given by the hypothesis. For each j, either
$S_j\cap X$
is empty, or there exists
$y\in S_j$
such that
$F(y)=a$
and then
by hypothesis. In both cases we have
$\nu(X \cap S_j) \leqslant \varepsilon \nu(S_j)$
. Summing over j, we find
and letting
$\varepsilon\to0$
gives the conclusion.
We divide the proof depending on whether (1*) or (2*) holds.
3.3.1 The case of bounded h.
Let
$N\in\mathbb{Z}_{>0}$
be the order of
$\vartheta$
as a root of unity, so that
where
$\vartheta$
is the automorphy factor in the generalized period relation (2.26). We recall that
$\vartheta_j$
was defined in (2.27). Recall also from (2.31) that the notation
$\vartheta_j(x)$
for a number
$x\in\mathbb{Q}$
depends on how we expand x in CF when x is rational. In what follows, we will work with the expansion of odd length. For each
$g\geqslant 1$
, we define
$e_g(x) \in \mathbb{Z}/N\mathbb{Z}$
through
$ \vartheta_g(x) = \vartheta^{e_g(x)}$
and notice that by definition we have
Given
$c_1, \dotsc, c_\ell\geqslant 1$
, we denote
By [Reference KhintchineKhi63, p. 57], we have
Lemma 3.9. Let
$m\in \mathbb{N}$
,
$K>1$
and
$(L_1,\ldots,L_m)\in\mathbb{N}^m$
be fixed. Let
$V\geqslant1$
, and for each
$e\in\mathbb{Z}/N\mathbb{Z}$
and
$\omega>0$
, let
$\mathscr{B}(e, \omega) \subset \mathbb{Z}\cap[\sqrt{V}, K\sqrt{V}]$
be given, and
Also, for
$x\in(0, 1)\smallsetminus\mathbb{Q}$
, let
and let
$X_{V, \mathscr{B}} = X_{V,\mathscr{B}}(K, L_1, \dotsc, L_m)$
be the subset of
$[0,1]\smallsetminus\mathbb{Q}$
such that
$G_V(x)$
contains at least an even and an odd integer. Then
$\nu(X_{V,\mathscr{B}})=1+o(1)$
as
$V, T \to \infty$
, where the rate of decay of o(1) depends at most on
$K, L_1, \dotsc, L_m$
.
Proof. We show that
$G_V(x)$
contains an even integer for x in a set of measure
$1+o(1)$
, the odd integer case being analogous.
By [Reference KhintchineKhi63, Equation (57)] we have uniformly for
$\ell\geqslant 1$
and
$c_1, \dotsc, c_{\ell+1}\geqslant 1$
,
In particular, writing
$L:=\max(L_1,\ldots, L_m)$
, we have for any
$c\in\mathbb{Z}_{>0}$
,
Since
$\sum_{c\in\mathscr{B}(e_\ell, v_\ell)}c^{-2}\geqslant (1/{K^2V})\#{\mathscr{B}(e_\ell, v_\ell)}$
, where
$e_\ell = e_\ell([0;c_1, \dotsc, c_\ell])$
, it then follows that the measure of
$x\in [0,1]\smallsetminus\mathbb{Q}$
such that none of the integers
$g\in\{2{\lfloor {V/2} \rfloor} + \ell (2m+2) \mid 1\leqslant \ell \leqslant V /(2m+2)\}$
satisfy
$b_g(x) \in \mathscr{B}$
is
as
$V, T\to\infty$
with m, L fixed. The lemma then follows.
We now prove Theorem 3.5. To illustrate Remark 3.6, we assume only that h is bounded on
$[-1, 1]$
, not necessarily continuous, and that it has finite left or right limit at 0. We assume it is the former, the latter case being analogous, as we will comment after the proof. If
$\operatorname{Im}(k)=0$
, we suppose that
$\phi(\vartheta^p h(0^-))\neq0$
for some
$p\in\mathbb{Z}$
, whereas if
$\operatorname{Im}(k)\neq0$
, we assume that
$h(0^-)\neq0$
and set
$p:=0$
. Moreover, we let
This means, in other terms, that for any
$z\in\mathbb{C}$
,
If
$\operatorname{Im}(k)=0$
, then setting
$z=1$
we see that
$\kappa\not\equiv\pm\frac12\ (\textrm{mod}\,1)$
by hypothesis.
We define our choice of sets
$\mathscr{B} = \mathscr{B}(e, \omega)$
. We let
$\xi\in(0,1)$
be a parameter, on which these sets will depend. For
$e\in\mathbb{Z}/N\mathbb{Z}$
,
$\omega>0$
, let
$K=2$
if
$\operatorname{Im}(k)=0$
and
$K=\max(2,e^{3\pi/{| {\operatorname{Im}(k)} |}})$
otherwise. Also, let
$ \mathscr{B}(e, \omega) = \mathscr{B}_{V, \xi, N, k}(e, \omega)$
be defined by
\begin{equation} \begin{aligned} \mathscr{B}(e, \omega) := {}& \Bigg\{b\in\mathbb{Z}\cap [\sqrt V, K\sqrt V] \colon b\equiv 3 - (p+e)\pmod{N} \\ & \quad \text{and }\left. \begin{cases} -\xi \leqslant \bigg\{\dfrac{\operatorname{Im} (k)}{2\pi}\log (\omega\sqrt V)-\kappa\bigg\} + \dfrac{\operatorname{Im} (k)}{2\pi}\log (b/\sqrt V) \leqslant \xi & \text{if } k\notin\mathbb{R} \\[2pt] 0 \leqslant \log (b/\sqrt V) \leqslant \xi & \text{if } k\in\mathbb{R} \end{cases}\right\}, \end{aligned}\end{equation}
where
$\{\cdot\}$
denotes the fractional part, and
$\kappa$
was defined at (3.13). Here our choice of K ensures that the set
$\mathscr{B}$
is not void for V large enough, and in fact
for V large enough in terms of k, N and
$\xi$
. Moreover, on the one hand, by (3.9) the congruence condition ensures that whenever a number
$x\in[0,1]\smallsetminus\mathbb{Q}$
satisfies
$b_g(x) \in \mathscr{B}(e_{g-1}(x), v_{g-1}(x))$
with g even, we have
$e_g(x) \equiv -p\ (\textrm{mod}\,N)$
, and therefore we deduce
On the other hand, the condition involving
$\|\cdot\|_{\mathbb{R}/\mathbb{Z}}$
ensures that
by the Taylor expansion of the cosine, with an absolute implicit constant.
We let
$L_1,\ldots,L_m\in\mathbb{N}$
be chosen later and take
$X_{V,\mathscr{B}}$
,
$G_V(x)$
as in Lemma 3.9. For all even g and all
$c_1, \dotsc, c_{g-1}\in \mathbb{N}$
, we let
that is,
$S_{g, (c_i), \mathscr{B}}$
is the subset of
$ J(c_1,\ldots,c_{g-1})$
such that g is the smallest even element of
$G_V(x)$
. We will drop the subscript
$\mathscr{B}$
from the notation.
Lemma 3.10. Assume that
$L_i < \sqrt{V}$
for all
$1\leqslant i \leqslant m$
and that
$g\in2\mathbb{Z}\cap[V,2V]$
. For all
$c_1, \dotsc, c_{g-1},c \geqslant 1$
and
$\varepsilon>0$
, we have
where the constant depends on m, k and N at most.
Proof. We start by observing that the condition
$g-2j \not\in G_V(x)$
in the definition of
$S_{g, (c_i), \mathscr{B}}$
reduces to a condition on the first
$g-1$
partial quotients of x,
$c_1,\ldots, c_{g-1}$
, if
$j>m/2$
. In particular, we can assume this condition is satisfied, since otherwise
$S_{g, (c_i)} = \emptyset$
and the result is trivial. Similarly, we can assume
$c\in [(1-\varepsilon)\sqrt V,(K+\varepsilon)\sqrt V]$
.
Next, we observe that if
$1\leqslant j<m/2$
, then the condition
$g-2j \not\in G_V(x)$
follows from the truth of the other conditions in the definition of
$S_{g, (c_i)}$
. Indeed, for
$g\in G_V(x)$
we have
$b_g(x)\in\mathscr{B}$
and
$b_{g+i}(x) = L_i$
for
$1\leqslant i \leqslant m$
, so that
$b_{g-2j+2j}(x)=b_g(x) \geqslant \sqrt{V} > L_{2j}$
and thus
$g-2j\notin G_V(x)$
. Recalling the notation (3.10), we thus have
for all
$c' \in \mathscr{B}(e_{g-1}(x'), v_{g-1}(x'))$
with
$x'=[0;c_1,\ldots, c_{g-1}]$
. By (3.11), for all
$c' \in[(1-\varepsilon)\sqrt V, (K+\varepsilon)\sqrt V]$
, we have
with a constant depending at most on m and K. Then, using (3.16) we deduce on the one hand
and on the other hand
Grouping these two bounds yields our claim.
Let
$\varepsilon\in(0,1)$
be fixed. We set
$m=1$
and
$L_1:=L\in\mathbb{N}_{>0}$
be a parameter. We let
$X_{V,\mathscr{B}}$
as in Lemma 3.9 and assume that
$L \to \infty$
as
$V\to\infty$
sufficiently slowly with respect to V, so that we still have
$\nu(X_{V,\mathscr{B}})\to1$
as well as
$L<\sqrt V$
. In particular, assuming
$V\geqslant 1$
is large enough, we have
For
$g\in [V, 2V]\cap 2\mathbb{Z}$
and
$c_1, \dotsc, c_{g-1}\geqslant 1$
, the sets
$(S_{g, (c_i)})$
are disjoint and, by construction, their union over all g and
$(c_i)$
contains
$X_{V,\mathscr{B}}$
and thus has measure
$\geqslant1-\varepsilon$
. The collection of sets
$(S_{g, (c_i)})$
will play the rôle of
$(S_j)$
in Lemma 3.8.
Recall that, since h is assumed to be bounded, we have the expression (2.33). Consider one of the sets
$S_{g, (c_j)}$
, and
$x, y\in S_{g, (c_j)}$
satisfying
$\phi(f^\triangleright(x))= \phi(f^\triangleright(y))$
. Since the terms
$j<g$
in (2.33) depend only on
$c_1, \dotsc, c_{g-1}$
, we have
$f^\triangleright(x) - f^\triangleright(y) = F_g(x) - F_g(y)$
, where
\begin{equation} F_g(x) = \sum_{j=g}^\infty \vartheta_j^{-1}(x) v_j(x)^{-k} h\bigg((-1)^{j-1}\frac{v_{j-1}(x)}{v_j(x)}\bigg) \end{equation}
and similarly for y. If
$x \in S_{g, (c_j)}$
we have
$v_{g+j}(x)\gg v_{g}(x) L\, \varpi^j$
for
$j\geqslant1$
, whence since g is even and h is bounded, we have
\begin{align*} F_g(x) & {}=\frac{\vartheta_g(x)^{-1}+o(1)}{v_g(x)^{k}}h(0^-) +O\bigg(\frac{L^{-\operatorname{Re}(k)}}{ v_g(x)^{\operatorname{Re}(k)}}\sum_{j\geqslant1}\frac {\|h\|_\infty}{\varpi^{\operatorname{Re}(k)j}}\bigg)\\ &{} =\frac{\vartheta_g(x)^{-1}+o(1)}{v_g(x)^{k}}h(0^-),\end{align*}
as
$V \to \infty$
.
Consider first the case
$\operatorname{Im} k = 0$
. By (3.17), we have
Also, since
$b_j(x)=b_j(y)$
for
$j<g$
and
$b_g(x)\asymp b_g(y)\asymp\sqrt V$
, we have
$v_{g-1}(x)\asymp v_{g-1}(y)$
and
$v_{g}(x)\asymp v_{g}(y)$
with constants depending only on k. Thus, by (3.14) and the mean value theorem, we deduce that for
$\operatorname{Im} k = 0$
we have
\begin{align*} 0 = {| {\phi(F_g(x) - F_g(y))} |} {}&= |h(0^-)\cos(2\pi \kappa)||v_g(x)^{-k} - v_g(y)^{-k}| + o(v_g(x)^{-\operatorname{Re} k}) \\{}& \gg |h(0^-)\cos(2\pi \kappa)|\frac{|v_g(x) - v_g(y)|}{v_g(x)^{k+1}}+ o(v_g(x)^{-\operatorname{Re} k}) \\{}& \gg |h(0^-)\cos(2\pi \kappa)|\frac{{| {b_g(x) - b_g(y)} |} V^{-1/2} + o(1)}{v_g(x)^{ k}}.\end{align*}
We deduce that
${| {b_g(x) - b_g(y)} |} = o(\sqrt{V})$
as
$V\to \infty$
.
We reach a similar conclusion when
$\operatorname{Im} k \neq 0$
. Indeed, in this case we still have (3.22), with
$p=0$
. Furthermore, since
$v_g(x) = v_{g-1} b_g(x) + v_{g-2}(x)$
, we have
where in the last equality we used (3.18). Similarly to the above, as
$V \to \infty$
, we have
\begin{align*} 0 {}&= {| {\phi(F_g(x) - F_g(y))} |}\\ {}&= {| {\phi(\vartheta_g(x)^{-1} h(0^-) v_g(x)^{-i \operatorname{Im} k}) v_g(x)^{-\operatorname{Re} k} - \phi(\vartheta_g(y)^{-1} h(0^-) v_g(y)^{-i \operatorname{Im} k}) v_g(y)^{-\operatorname{Re} k}} |} + o(v_g(x)^{-\operatorname{Re} k}) \\{}& = {| {h(0^-)} |} {| {v_g(x)^{-\operatorname{Re} k} - v_g(y)^{-\operatorname{Re} k}} |} + (o(1) + O(\xi^2)) v_g(x)^{-\operatorname{Re} k} \\{}& \gg {| {h(0^-)} |} \frac{{| {b_g(x) - b_g(y)} |} V^{-1/2} + o(1) + O(\xi^2)}{v_g(x)^{\operatorname{Re} k}}.\end{align*}
As above, we deduce
We now pick
$\xi = c \sqrt{\varepsilon}$
with a sufficiently small constant
$c>0$
and assume V is large enough so that the right-hand side above is at most
$\varepsilon\sqrt{V}$
in modulus. We get
by Lemma 3.10. Since
$\varepsilon>0$
was arbitrary, this verifies the hypothesis (3.8), thus Lemma 3.8 applies and yields the desired conclusion.
The case when the non-vanishing hypothesis involves
$h(0^+)$
is similar, taking g to be odd instead of even, and picking
$b\equiv 3 + p + e \pmod{N}$
in (3.15).
Now, assume that
$\alpha\in(-1, 1)$
satisfies condition (1*) of the theorem. We may assume that
$\alpha\in\mathbb{Q}$
by continuity. We pick
$\alpha$
such that the length
$r(|\alpha|)$
of the continued fraction expansion of
$|\alpha|$
is minimal. We may assume that
$\alpha\neq 0$
, or in other words
$r(|\alpha|)\geqslant 1$
, since the complementary case was treated above. We write
${| {\alpha} |} = [0; c_1, \dotsc, c_r]$
. By minimality of r, we have
$h(\pm[0; c_s, \dotsc, c_r]) = 0$
for
$1<s\leqslant r$
if
$\operatorname{Im} k \neq 0$
; and likewise
$\phi(\pm \vartheta^p h([0; c_s, \dotsc, c_r])) = 0$
if
$\operatorname{Im} k =0$
. We repeat the arguments above with
$m=r+1$
,
with
$L\to\infty$
as
$V\to\infty$
. Note that if
$b_g \asymp \sqrt{V}$
and
$b_{g+j}=L_j=c_{r+1-j}$
for
$1\leqslant j \leqslant r$
, then
as
$V\to\infty$
. Thus, if the parity of g was chosen such that
$(-1)^{g+r-1}=\textrm{sgn}(\alpha)$
, then by hypothesis we have
$$ \begin{cases} h((-1)^{g+j-1}v_{g+j-1}/v_{g+j})=o(1) & (j=1,\ldots, r-1), \\ h((-1)^{g+r-1}v_{g+r-1}/v_{g+r})=h(\alpha)+o(1).\end{cases} $$
The rest of the argument follows mutatis mutandis, with the estimate (3.21) being replaced by
Remark 3.11. By choosing the parity of g appropriately, it is clear that the arguments above hold under milder hypotheses, namely one-sided continuity of h at
$\alpha$
along with the vanishing of the values
$h(T^j(\alpha)^\pm)$
for
$1<j\leqslant r$
.
3.3.2 The case of unbounded h.
The following lemma provides a substitute for Lemma 3.9 in the case when h is unbounded.
Lemma 3.12. Let
$K>1$
,
$\delta\in(0,1)$
, and
$\rho>(2+2\delta)^{-1}$
be fixed,
$V\geqslant1$
, and
$\psi:\mathbb{R}_{\geqslant1}\to\mathbb{R}_{\geqslant1}$
be such that
$\lim_{x\to\infty}\psi(x)=+\infty$
. Also, for each
$e\in\mathbb{Z}/N\mathbb{Z}$
and
$\omega>0$
, let
$\mathscr{B}(e, \omega) \subset \mathbb{Z}\cap[\sqrt{V}, K\sqrt{V}]$
be given, and assume
Finally, for
$x\in[0, 1]\smallsetminus\mathbb{Q}$
, let
and
$X_{V, \mathscr{B}}$
be the subset of
$[0,1]\smallsetminus\mathbb{Q}$
such that
$G_V(x)$
contains at least an even and an odd integer. Then
$\nu(X_{V,\mathscr{B}})=1+o(1)$
as
$V \to \infty$
, where the rate of decay of o(1) depends at most on
$K,\psi,\delta$
and
$\rho$
.
Proof. We prove that
$G_V(x)$
contains an even integer asymptotically almost surely, the odd case being identical. We fix
$\varepsilon>0$
and observe we can assume
$1\leqslant\psi(V)< V^\varepsilon$
. We then observe that by Lemma 2.2 one has that
$b_{g+j}(x)<j^{1+\delta}\psi(V)$
for all
$j> D:=V^{1/({1+\delta})+\varepsilon}$
, all
$g\in[V,2V]$
and all x in a subset of [0,1) of measure
$1+o(1)$
as
$V\to\infty$
. In particular, it suffices to show that the larger set
contains an even integer asymptotically almost surely.
Now, for
$m\geqslant0$
and
$c_1,\ldots,c_m\in\mathbb{N}$
,
$I\subseteq \mathbb{N}$
, let
so that we need to prove that
$\nu(M_{[V,2V]})\to1$
as
$V\to\infty$
. For
$m=\ell-1$
and any
$\ell\in 2\mathbb{Z}\cap[V,2V]$
, by (3.12) we have
\begin{align*} \nu(M_{\{\ell\}}(c_1,\ldots,c_m))\geqslant\mu(c_1,\ldots,c_m)\frac{T}{3K^2 V}\prod_{j=1}^\infty \bigg(1-\frac1{3j^{1+\delta}\psi(V)}\bigg)\geqslant\mu(c_1,\ldots,c_m)\frac{T}{4K^2 V} \end{align*}
for V large enough. Splitting into subintervals we then have that the same bound holds for any
$m\leqslant \ell-1$
.
Next, we let
$C:= [V^{1/(2+2\delta)-\varepsilon}]\leqslant D$
and notice that if
$0<\ell_2-\ell_1\leqslant C$
, then
$M_{\{\ell_1\}}(c_1,\ldots,c_m) \cap M_{\{\ell_2\}}(c_1,\ldots,c_m) = \emptyset$
. Indeed, if
$x\in M_{\{\ell_1\}}(c_1,\ldots,c_m)$
, then
and thus
$x\notin M_{\{\ell_2\}}(c_1,\ldots,c_m)$
. It follows that for any
$W\in\mathbb{N}$
with
$[W-C,W)\subseteq [V,2V]$
, we have
\begin{align} \nu(M_{[W-C,W)}(c_1,\ldots,c_m))=\sum_{\ell\in I\cap 2\mathbb{Z}} \nu(M_{\{\ell\}}(c_1,\ldots,c_m))\geqslant \mu(c_1,\ldots,c_m)\frac{T {\lfloor {C/2} \rfloor}}{4K^2 V} \end{align}
for any
$m<W-C$
.
Let
$W\in\mathbb{N}$
with
$V < W - 2D$
and
$W\leqslant 2V$
, and let
$m=W-C-1\geqslant W-D$
. We observe that the condition
$\ell\in G_V'(x)$
depends only on the first
$\ell+D$
partial quotients of x. Thus, since
$m\geqslant W-D$
, we have that
$M_{[V,W-2D)}(c_1,\ldots,c_m)$
is either empty or is equal to
$J(c_1,\ldots, c_m)$
. By (3.23), we deduce
\begin{align*} \nu(M_{[V,W)})-\nu(M_{[V,W-2D)}) &{} = \nu(M_{[W-2D,W)}\smallsetminus M_{[V,W)}) \\ &{} \geqslant \nu(M_{[W-C,W)}\smallsetminus M_{[V,W-2D)})\\ &{} =\sum_{c_1,\ldots,c_m\geqslant 1\atop M_{[V,W-2D)}(c_1, \dotsc, c_m) = \emptyset}\nu(M_{[W-C,W)}(c_1,\ldots,c_m))\\ &{} \geqslant \frac{TC}{12K^2V}\sum_{c_1,\ldots,c_m\geqslant 1\atop M_{[V,W-2D)}(c_1, \dotsc, c_m) =\emptyset}\mu(c_1,\ldots,c_m) \\ &{} = \frac{TC}{12K^2 V}(1-\nu(M_{[V,W-2D)})). \end{align*}
We have used
${\lfloor {C/2} \rfloor}\geqslant C/3$
in the fourth line. We thus obtain
Iterating, we then obtain
since
$TC/K^2 D \asymp T V^{-1/(2+2\delta)-2\varepsilon}\to\infty$
if
$\varepsilon$
is small enough.
For
$j\in\mathbb{N}$
and
$K,\psi$
as in the lemma, we let
\begin{align*} Q_j(V)=\begin{cases} j^{1+\delta}\psi(V) & \text{if $j^{1+\delta}\psi(V)\notin[\sqrt V,K\sqrt V]$,}\\ K\sqrt V, &\text{otherwise.} \end{cases}\end{align*}
We then define
and the corresponding set
$X_{V,\mathscr{B}}$
. Clearly,
$G_V^*(x)\supseteq G_V(x)$
and thus, under the hypothesis of Lemma 3.12,
$\nu(X^*_{V,\mathscr{B}})=1+o(1)$
as
$V\to\infty$
.
We let
$$ \kappa := \begin{cases} -{\beta} & \text{if } \operatorname{Im} k \neq 0, \\ 0 &\text{if }\operatorname{Im} k = 0, \end{cases} $$
and define the sets
$\mathscr{B}$
as in (3.15). Also, we define
$S^*_{g, (c_i)}=S^*_{g, (c_i), \mathscr{B}}$
as in (3.19), but with
$G^*_V(x)$
in place of
$G_V(x)$
. The following lemma is an analogue of Lemma 3.10.
Lemma 3.13. Assume that
$g\in2\mathbb{Z}\cap[V,2V]$
with
$V\geqslant1$
sufficiently large. For all
$c_1, \dotsc, c_{g-1},c \geqslant 1$
and
$\varepsilon>0$
, we have
where the constant depends on k,
$\delta$
and N at most.
Proof. We may assume
$S^*_{g, (c_i)} \neq \emptyset$
. Let
$x'\in S^*_{g, (c_i)}$
. First we prove that for all
$c'\in\mathscr{B}(e_{g-1}(x'), v_{g-1}(x'))$
, we have
Any x in the left-hand side satisfies
$g\in G_V^*(x)$
, and therefore
$b_{g+j}(x) < Q_j(V)$
. The inclusion
$\subseteq$
follows trivially. Consider then a number x in the right-hand side. The condition
$b_g(x)=c'$
is evident, and in order to prove the inclusion
$\supseteq$
, there remains to show
$x\in S_{g, (c_i)}^*$
. Since
$x\in J(c_1, \dotsc, c_{g-1}, c')$
, it suffices to prove that
$g\in G_V^*(x)$
and
$\forall j\geqslant 1, g-2j \not\in G_V^*(x)$
. The condition
$g\in G^*_V(x)$
holds since
$c' \in \mathscr{B}(e_{g-1}(x'), v_{g-1}(x'))$
by hypothesis and
$(e_{g-1}(x), v_{g-1}(x)) = (v_{g-1}(x'), e_{g-1}(x'))$
.
Next, let
$j\geqslant 1$
. We wish to show that
$g-2j\not\in G^*_V(x)$
. We assume that
$g-2j \in [V, 2V]$
; it suffices to prove that for such j, we have
$b_{g-2j}(x)\not\in \mathscr{B}(e_{g-2j-1}(x), v_{g-2j-1}(x))$
or that
$b_{g-2j+\ell}(x) \geqslant Q_\ell(V)$
for some
$\ell\geqslant1$
. We first prove that
Indeed, from the condition
$g-2j\not\in G^*_V(x')$
, it suffices to prove that
$b_{g-2j+\ell}(x') < Q_\ell(V)$
, if
$\ell>2j$
, but this is immediate since the condition
$g\in G^*_V(x')$
implies
$b_{g-2j+\ell}(x') < Q_{\ell-2j}(V) \leqslant Q_\ell(V)$
. Now we argue that the conditions (3.25) hold with x’ replaced by x. Since x, x’ share the same first
$g-1$
CF coefficients, this is trivial except for the condition at
$\ell=2j$
, which involves
$b_g$
. It suffices to check that
$b_g(x) \geqslant Q_{2j}(V) \iff b_g(x') \geqslant Q_{2j}(V)$
. By construction, we have
$Q_{2j}(V) \not\in[\sqrt{V}, K\sqrt{V}]$
, so both conditions are in fact equivalent to
$Q_{2j}(V) \leqslant \sqrt{V}$
. This shows that the conditions (3.25) hold with x’ replaced by x, and therefore
$g-2j\not\in G^*_V(x)$
. This concludes the proof of the inclusion
$\supseteq$
in (3.24).
From there, the rest of the proof follows closely that of Lemma 3.10. By (3.12) and since
$Q_j(V) \geqslant j^{1+\delta} \psi(V)$
, we deduce that
\begin{align*} \nu(\{x\in S^*_{g, (c_i)} \colon b_g(x)=c'\})&= \mu(c_1,\ldots,c_{g-1},c')\prod_{j\geqslant1}\bigg(1+O\bigg(\frac1 {j^{1+\delta}\psi(V)}\bigg)\bigg)\\ &= \mu(c_1,\ldots,c_{g-1},c')(1+o(1)) \end{align*}
as
$V\to\infty$
. We conclude as for Lemma 3.10.
The following technical lemma allows us to extract values of h which will give a dominant contribution to
$f^\triangleright$
.
Lemma 3.14. Let
${R}>1,C\geqslant1$
and
$\delta\in(0,1)$
. Let
$h:[-1,1]\smallsetminus\{0\}\to\mathbb{R}$
be such that
$h(x)\ll {e}^{|x|^{-1+\delta}}$
for
$x\neq 0$
, and assume
$|h(x)|\to\infty$
as
$x\to 0^{\pm}$
for a choice of
$\pm$
. Finally, let
$\xi:(0,1]\to (0,1]$
with
$\lim_{x\to0^+}\xi(x)=0$
. Then there exist
$\nu>0$
and
$\psi:[1,\infty)\to\mathbb{R}_{>0}$
with
$\lim_{+\infty}\psi = +\infty$
such that
for all
$j\geqslant1$
and all
$z\in(0,\nu]$
.
Proof. Assume
$|h(x)|\to\infty$
as
$x\to 0^+$
; the complementary case follows by changing h(x) to
$h(-x)$
. We fix a function
$\psi_1:(0,1]\to\mathbb{R}_{>0}$
going to
$\infty$
at
$0^+$
. By hypothesis, we have
$|h(x)|<\exp( C^{1-\delta} j^{1-\delta^2}\psi_1(z)^{1-\delta})$
for
$z\in(0,\nu]$
,
$(C{j^{1+\delta}\psi_1(z)})^{-1}<|x|<1$
and
$\nu>0$
sufficiently small. Now, for any
$z\in(0,1]$
the maximum
$\psi_2(z):=\max_{j\in\mathbb{N}}({R}^{-j}\exp( C^{1-\delta} j^{1-\delta^2}\psi_1(z)^{1-\delta}))$
exists. Moreover, since
$\psi_1(z)$
goes to infinity as
$z\to 0^+$
, then clearly so does
$\psi_2(z)$
. Also, by hypothesis we have
$\inf_{0<y<\xi(z)}|h(y)|\to\infty$
as
$z\to0^+$
. It follows that we can ensure that
$\psi_2(z)^2\leqslant \inf_{0<y\leqslant \xi(z)}|h(y)|$
for
$z\in (0, \nu]$
by taking
$\psi_1$
that goes to infinity sufficiently slowly and
$\nu$
small enough. By construction, for
$z\in(0,\nu)$
and all
$j\geqslant 1$
, we then have
It is then sufficient to take
$\psi(1/z):=\min(\psi_1(z),\psi_2(z)).$
We shall now show that if (2*) is satisfied then the CDF of
$(\phi\circ f^\triangleright)_\ast( \nu)$
is continuous. We assume
$\lim_{x\to 0^-}|h(x)|\to\infty$
, the other case being analogous.
We take
$R=\varpi^{\operatorname{Re}(k)/2}$
,
$C=2K$
, where K was defined at (3.15), and
$\xi(w):=w^{-1/2}$
, and we apply Lemma 3.14, thus finding a constant
$\nu>0$
and a function
$\psi(x)$
with the properties claimed in this lemma. We then apply Lemma 3.12 with the same function
$\psi$
. As in the bounded case, for any
$g\in [V, 2V]\cap 2\mathbb{Z}$
and
$c_1, \dotsc, c_{g-1}\geqslant 1$
, the sets
$(S^*_{g, (c_i)})$
are disjoint and, given any fixed
$\varepsilon>0$
, their union has measure
$\geqslant1-\varepsilon$
, if V is large enough in terms of
$\varepsilon$
.
For any
$x\in S^*_{g, (c_i)}$
and any
$j\geqslant1$
, we have
where we dropped the dependency on x in the inequalities for ease of notation. Thus, assuming
$V>1/\nu$
, by (3.26) (with
$z=1/V$
) we have
since
$v_{g-1}/v_g\leqslant 1/b_g\leqslant 1/\sqrt V$
. With
$F_g(x)$
as in (3.20) we then deduce the following analogue of (3.21),
\begin{align*} F_g(x) &= \frac{\vartheta^p h(-{v_{g-1}(x)}/{v_g(x)})}{v_g(x)^{k}}+O\bigg(\sum_{j\geqslant1}^\infty \frac{|h((-1)^{j-1}{v_{g+j-1}(x)}/{v_{g+j}(x)})}{ v_g(x)^{\operatorname{Re}(k)}\varpi^{\operatorname{Re}(k)j}}\bigg)\\ &=\frac{\vartheta^p+o(1)}{v_g(x)^{k}}h(-{v_{g-1}(x)}/{v_g(x)}).\end{align*}
We let
$x,y\in S^*_{g, (c_i)}$
and write
and
$\omega_g:=v_{g-1}/v_{g}(x)$
, so that we have
By the definition of
$\mathscr{B}$
we have
with
$\alpha_g=\alpha_g(x)=0$
if
$\operatorname{Im}(k)=0$
and otherwise
$\alpha_g(x)$
satisfying
$|\alpha_g(x) - {\beta}| \leqslant \xi$
. Moreover,
$\log {u}_g = \log (b_g(x)/b_g(y)) + o(1) \ll_k \xi$
and, if
$|b_g(x)-b_{g}(y)|> \varepsilon \sqrt V$
, then also
$|\log {u}_g|\geqslant \log(1+\varepsilon/K) + o(1) \gg_k \varepsilon$
for V large enough. Taking
$\xi=\varepsilon^{2/3}$
we then have
\begin{align} \phi( F_g(x)-F_g(y)) &=\frac{ |h(-\omega_g)|}{|v_g(x)|^k} \phi\bigg(\vartheta^p{e}(\alpha_g)\bigg( \frac{h(-\omega_g)-{u}_g^kh(-{u}_g \omega_g)}{ |h(-\omega_g)|}\bigg)+o(1)\bigg)\\ &\neq0\notag\end{align}
by hypothesis (2*), provided that
$|b_g(x)-b_{g}(y)|> \varepsilon \sqrt V$
. We then conclude in the same way as we did in § 3.3.1.
Remark 3.15. From the above proof, it is clear that the term o(1) in (3.27) can be replaced by
$O(1/\sqrt{V} + 1/\psi(V))$
. This will be used in one special case of our applications to the cotangent sums.
Remark 3.16. From the above proof, it is also immediate to see that we can modify the condition
$(2^*)$
,
$k\not \in\mathbb{R}$
, of Theorem 3.5 as follows. Given
$\beta\in\mathbb{R}$
and any small
$\varepsilon>0$
, we denote by
$\mathcal R=\mathcal R_{k,\varepsilon,\beta}$
the set or reduced rationals
$x=p/q$
with
$|q^{-i\operatorname{Im}(k)}{e}(-\beta)-1|\leqslant 10\varepsilon^{2/3}.$
Then, we can weaken the condition
$\lim_{x\to0^\pm}|h(x)|=\infty$
in
$(2^*)$
by introducing the restriction
$x\in \mathcal R$
in the limit and replace (3.7) by
\begin{equation*} \liminf_{x\to 0^\pm\atop x\in \mathcal R} \inf\bigg\{\bigg|\phi\bigg({e}(\alpha) \frac{ h(x)- {u}^{k} h({u} x)}{|h(x)|} \bigg)\bigg|: {\begin{aligned} & |\log u| \in (\varepsilon, \varepsilon^{2/3}), |\alpha-{\beta}| \lt \varepsilon^{2/3}\\ & {u} x \in \mathcal{R}, \textrm{Num}({u} x)=\textrm{Num}(x)\\ \end{aligned}}\bigg\} > 0. \end{equation*}
4. Arithmetic applicationsFootnote 6
4.1 Eichler integrals of holomorphic cusp forms
Proof of Corollary 1.10. The map
$f(x) = \widetilde g(x)$
satisfies the relation (1.2) with weight
$2-k$
and with h being a non-zero polynomial of degree at most
$k-2$
, see [Reference EichlerEic57, p. 273]. Since h is Lipschitz and bounded on
$[-1, 1]$
, the estimates (1.5) hold trivially. We may therefore apply Theorem 1.3, which gives the claimed convergence in distribution. Notice that in this case
$\widetilde g^\triangleleft$
coincides on the whole real line with
$\widetilde g$
as defined in (1.10).
Finally, assume
$(\phi\circ \widetilde g^\triangleleft)_\ast( \nu)$
has an atom for some non-zero linear form
$\phi$
and write
$\phi(z)=\operatorname{Re}({e}^{i\theta}z)$
for some
$\theta\in\mathbb{R}$
and all
$z\in\mathbb{C}$
. Then, by Proposition 3.4, we obtain that
$\phi\circ \widetilde g^\triangleleft$
is constant on [0,1]. By (1.10),
$\phi\circ \widetilde g^\triangleleft$
is given by the Fourier series
\begin{align*} x\mapsto \sum_{n\geqslant1}\frac{\operatorname{Re}(e^{i\theta} a_n)}{n^{k-1}}\cos(nx)-\sum_{n\geqslant1}\frac{\operatorname{Im}(e^{i\theta} a_n)}{n^{k-1}}\sin(nx), \end{align*}
which is constant on [0,1] only if
$\operatorname{Re}(e^{i\theta} a_n)=\operatorname{Im}(e^{i\theta} a_n)=0$
, i.e.
$a_n=0$
, for all
$n\in\mathbb{N}_{>0}$
. Thus
$g=0$
which was excluded by hypothesis.
Proof of Corollary 1.9. The map
$A_{k,D}$
defined in (1.9) coincides with
$F_{k+1, D}$
defined in [Reference ZagierZag99, Equation (15)]. Consider the even cusp form
$g = f_{k+1, D} \in S_{2k+2}(1)$
defined in [Reference ZagierZag99, Equation (53)]. By [Reference ZagierZag99, Equation (55)], we have
$A_{k,D}(x) = c_{k,D} + \frac12 \widetilde g(x)$
for all
$x\in\mathbb{Q}$
and some
$c_{k, D} \in \mathbb{R}$
. Therefore, Corollary 1.9 follows from the just proved Corollary 1.10.
4.2 Kontsevich’s functionFootnote 7
Proof of Corollary 1.12. Define h by formula (1.13). In [Reference ZagierZag01, Theorem, p. 958], it is proved that
$h\in C^\infty(\mathbb{R})$
and that h is real-analytic except at 0, and moreover
$h(0) = 1$
. Thus,
$\varphi$
and h satisfy the hypotheses of the first part of Theorem 1.7, with the generalized hypotheses (2.26) (with
$\vartheta = {e}(1/24)$
) which were adopted in the proof. This proves the existence of the limiting distribution. The limit (1.14) arises from the relations (2.29) and (2.32).
Let
$\theta \in \mathbb{R}$
and
$\phi: z \mapsto \operatorname{Re}({e}^{i\theta} z)$
. To see that
$(\phi \circ \varphi^\triangleright)_\ast(\nu)$
does not have atoms, we apply Theorem 3.5. The period function h is continuous on
$[-1, 1]$
, and
$h(0)=1$
. Since
$\vartheta\not\in\mathbb{R}$
, certainly one of
$\phi(1)$
or
$\phi(\vartheta)$
is non-zero, and therefore hypothesis (1*) is satisfied for some
$p\in\{0, 1\}$
. Theorem 3.5 applies and yields the desired conclusion.
Finally, the continuity of
$\varphi^\triangleright$
follows immediately from (the twisted version of) Theorem 1.4.
4.3 Cotangent sums
For
$b\in\mathbb{Z}$
,
$q\geqslant 1$
and
$(b, q) = 1$
, the cotangent sums we are interested in are defined by
$$ c_a\bigg(\frac bq\bigg) := q^a \sum_{m=1}^{q-1} \cot\bigg(\frac{\pi m b}{q}\bigg) \zeta\bigg(-a, \frac mq\bigg), $$
see [Reference Bettin and ConreyBC13a, p. 226]. The special case
$a=-1$
corresponds to the classical Dedekind sums [Reference RiemannRie92, p. 466], while the case
$a=0$
corresponds to the cotangent sum from [Reference Bettin and ConreyBC13b]. These sums were described as ‘imperfect’ quantum modular forms, due to an irregular term arising in the period relation, namely the last term on the right-hand side of [Reference Bettin and ConreyBC13a, Equation (17)]; see the discussion in Example 0 in [Reference ZagierZag10]. The point of the upcoming definition is that we can relax this lack of regularity at the cost of weakening the periodicity hypothesis to (1.4). Let
$$ \rho\bigg(\frac bq\bigg) = \begin{cases} \bigg\{\dfrac{\overline b}q\bigg\} & (q>1, (b, q)=1), \\ 1 & (q = 1, b>0), \\ 0 & (q=1, b<0). \end{cases} $$
By Bezout’s theorem, we have for
$b\neq 0$
,
$q\geqslant 1$
,
$(b, q)=1$
,
For
$x\in\mathbb{Q}$
, let
extended arbitrarily at 0, and with
$\kappa_1(a):=({\zeta(1-a)})/{\pi}$
. Note that
$c_a$
is 1-periodic, and that
$\rho$
satisfies the weak periodicity (1.4), from which we deduce that
${\widetilde c}_a$
also satisfies (1.4).
From [Reference Bettin and ConreyBC13a, Theorem 4], we have
and thus
for
$h_a(x) := - \textrm{sgn}(x) i \zeta(-a) \psi_a({| {x} |})$
with
$\psi_a(x)$
as in [Reference Bettin and ConreyBC13a, Theorem 4]. In particular,
$h_a$
is real analytic on
$\mathbb{R}_{\neq0}$
. Also, by the same theorem, for
$a\neq0$
, we haveFootnote
8
as
$x\to 0$
, for
$\kappa_2(a)=-\zeta(-a)\cot({\pi a}/2)$
, and where the error has to be replaced by
$O({| {x} |}\log {| {1/x} |})$
if
$a=-2$
. For
$a=0$
, we instead have
We prove the distributional statements in Corollary 1.14, considering several cases depending on the value of a. The statement in Corollary 1.14 about the continuity of
$c_a^\triangleright$
when
$\operatorname{Re}(a)>0$
will follow immediately from Theorem 1.4 and the behavior around 0 of the period functions.
4.3.1 The case
$\operatorname{Re}(a)<-1$
.
By [Reference Bettin and ConreyBC13a, Theorem 1], it follows that both
$h_a$
and
$h_a'$
are bounded by
${| {x} |}^{O(1)}$
for all
$x\neq 0$
. Thus, the conditions (1.5) are satisfied, and by Theorem 1.2, the function
exists for x in a full measure set
$X\subset \mathbb{R}$
. By Theorem 1.3, we deduce that the multisets
become equidistributed, as
$q\to\infty$
, according to
$({\widetilde c}_a^\triangleleft)_*( \nu)$
. Since
as
$\operatorname{Den}(x) \to \infty$
, uniformly in the numerator
$\textrm{Num}(x)$
, it follows that the same conclusion holds for the multisets
Next we prove that if
$a\in\mathbb{R}_{<-1}$
, then
$({\widetilde c}_a^\triangleleft)_*(\nu)$
is diffuse on
$\mathbb{R}$
. Assume, for the sake of contradiction, the existence of
$\lambda\in\mathbb{R}$
and
$C\subset X\cap\mathbb{R}_{>0}$
of positive Lebesgue measure such that
${\widetilde c}_a^\triangleleft(x) = \lambda$
for all
$x\in C$
. By Proposition 3.4, we deduce that
${\widetilde c}_a^\triangleleft(x) = \lambda$
for almost all
$x>0$
. Using the fact that
$c_a$
is odd, which transfers to
${\widetilde c}_a^\triangleleft$
almost everywhere by (4.6), we obtain by the period relation (4.2) that
$h_a(x)=\lambda (1+ {| {x} |}^{-1-a} )$
for almost all
$x>0$
. However, this contradicts (4.3) as
$x\to 0^+$
, regardless of the value of a.
Now, let
$a\notin\mathbb{R}$
and let
$\phi:\mathbb{C}\to\mathbb{R}$
a non-zero linear form. We assume by contradiction that
$(\phi\circ{\widetilde c}_a^\triangleleft)_*(\nu)$
is not diffuse. As above, we deduce that there exists
$\lambda\in\mathbb{R}$
such that
$\phi({\widetilde c}_a^\triangleleft(x)) = \lambda$
for almost all
$x>0$
. Composing the period relation (4.2) with
$\phi$
, we obtain
$\phi(h_a(x))= \lambda - \phi( {| {x} |}^{-1-a} {\widetilde c}_a^\triangleleft(-1/x))$
. We pick
$y\in(0, 1)$
so that
${\widetilde c}_a^\triangleleft(-y)$
and
${\widetilde c}_a^\triangleleft(1/(n+y))$
are defined in (4.5) for all
$n\in\mathbb{N}_{>0}$
, and
$\phi({\widetilde c}_a^\triangleleft(1/(n+y))) = \lambda$
. Taking
$x=1/(n+y)$
, by periodicity we then obtain
Now, by [Reference Bettin and ConreyBC13a, Theorem 1],Footnote 9 the asymptotic in (4.3) can be extended to
\begin{equation} h_a(x) = \frac{\kappa_2(a)\textrm{sgn}(x)}{ |x|^{1+a}} + \frac{\kappa_1(a)}{ x}+\sum_{m=1}^M(-1)^m\frac{2B_{2m}}{(2m)!}\zeta(1-2m-a)(2\pi x)^{2m-1}+O_{a,M}(|x|^{2M+1}),\end{equation}
for any
$M\in\mathbb{N}$
, where
$B_{2n}\in\mathbb{Q}_{\neq0}$
denotes the 2nth Bernoulli number. By the functional equation we have
as
$m\to\infty$
. In particular,
$\zeta(1-2m-a)$
cannot be a real multiple of
$\zeta(1-2(m+1)-a)$
for m large enough and thus at least one of these terms in the expansion (4.8) survives once composed with
$\phi$
. Letting
$n\to\infty$
, we see that this is not compatible with (4.7) and thus we reach a contradiction. This finishes the proof of Corollary 1.14 when
$\operatorname{Re}(a)<-1$
.
4.3.2 The case
$\operatorname{Re}(a)>-1$
and
$a\zeta(a)\neq0$
.
It is remarked in [Reference Bettin and ConreyBC13a, p. 227] that
$c_a(x) \equiv 0$
whenever a is a positive odd integer. In this case, Corollary 1.14 holds for trivial reasons and thus we assume that
$a\not\in 2\mathbb{Z} + 1$
throughout the section. We also assume
$\operatorname{Re}(a)>-1$
and
$a\zeta(a)\neq0$
and notice that by the functional equation we have
$\kappa_1(a)\neq0$
.
Since
$ h_a(x) = O({| {x} |}^{-\max(1, 1+\operatorname{Re}(a))})$
for
${| {x} |}<1$
, the hypotheses of Theorem 1.7 are satisfied and it follows that the limit
exists for x in a full measure set
$X\subset \mathbb{R}\smallsetminus\mathbb{Q}$
. By Theorem 1.7, we have that the multiset
becomes distributed, as
$q\to\infty$
, according to
$({\widetilde c}_a^\triangleright)_*( \nu)$
. But by definition of
${\widetilde c}_a$
, we have
$q^{-1-a} {\widetilde c}_a({\overline b}/q)=q^{-1-a} c_a({\overline b}/q)+a\kappa_1(a)\{b/q\}$
for
$q>1$
. Letting
it follows that the multiset
becomes distributed according to
$(c_a^\triangleright)_*( \nu)$
, as claimed.
We now turn to showing that the relevant measures are diffuse.
It is convenient to make a further simple modification to
$c_a$
and define
$ {\breve c}_a(x) := {\widetilde c}_a(x)-\kappa_2(a)\textrm{sgn}(x)$
. Clearly, one has that
${\breve c}_a(x)$
still satisfies (1.4), whereas (4.2) holds with
$h_a(x)$
replaced by
$\breve h_a(x)=h_a(x)-\kappa_1(a)(1+ {| {x} |}^{-1-a})$
. In particular, (4.3) becomes
The hypothesis of Theorem 1.7 is thus still satisfied. Taking the limit as in (4.9), one deduces that
${\breve c}_a^\triangleright(x)={\widetilde c}_a^\triangleright(x)$
for
$x\in X$
. Also, by (4.11) for
$\varepsilon<|\log u|<\varepsilon^{2/3}$
, we have
\begin{align} \frac{\breve h_a(x)-u^{1+a} \breve h_a(ux)}{|\breve h_a(x)|} &= \frac{\kappa_2(a) (1-u^{1+a})+\kappa_1(a)(1- u^{a})x^{-1}+o(1)}{\kappa_2(a)+\kappa_1(a)x^{-1}+o(1)}=1-u^a+o(1)\end{align}
as
$x\to0^+$
, uniformly in sufficiently small
$\varepsilon>0$
. Notice that
$1-u^{a}=-a\log u+O_a(\varepsilon^{4/3})\gg\varepsilon$
. When
$a\in\mathbb{R}$
, then clearly
$c_a(x) \in\mathbb{R}$
for all
$x\in\mathbb{Q}$
, and therefore
$h_a(x) \in\mathbb{R}$
for
$x\neq 0$
as well. By (3.6) one can then deduce that
$({\breve c}_a^\triangleright)_*( \nu)$
is diffuse, and thus so is
$({\widetilde c}_a^\triangleright)_*( \nu)$
. If
$a\notin\mathbb{R}$
one can show in the same way that
$(\phi({\widetilde c}_a^\triangleright))_*(\nu)$
is diffuse for any non-zero linear form
$\phi:\mathbb{C}\to\mathbb{R}$
, upon choosing
${\beta}:=-\arg (-a)-\kappa$
in (3.7), where
$\kappa$
is such that
$\phi(z)=\operatorname{Re}(e^{i\kappa} z)$
for all
$z\in\mathbb{C}$
.
We now wish to prove that the measure
$(\phi_a(c_a^\triangleright))_*(\nu)$
is also diffuse (with
$\phi=\operatorname{Re}$
if
$a\in\mathbb{R}$
). Notice that we can assume
$\phi(a\kappa_1(a))\neq 0$
since otherwise
$\phi\circ c_a^\triangleright = \phi\circ{\widetilde c}_a^\triangleright$
.
We start with the case
$\operatorname{Re}(a)>1$
. Suppose by contradiction that
$\phi\circ{\widetilde c}_a^\triangleright(x)=\lambda$
for all
$x\in C\subseteq (0,1)$
for a set C of positive measure. Since
$\operatorname{Re}(a)>1$
, by Theorem 1.4 we can assume that
${\widetilde c}_a$
is
$\alpha$
-Hölder continuous at any point of C for any
$\alpha\in(1,\tfrac12(1+\operatorname{Re}(a)))$
. Also, since C is uncountable, it contains one of its accumulation points, i.e. there exists a sequence
$(z_m)_m$
in C converging to
$z\in C$
. Then, on the one hand we have
as
$m\to\infty$
, and on the other hand by (4.10) we have
Since these equations are not compatible we reach the desired contradiction.
Now, assume
$\operatorname{Re}(a)\in(-1,1]$
. First we notice that in this case we can proceed directly with
$\widehat c_a(x)=c_a(x)-\kappa_2(a)\textrm{sgn}(x)$
. Indeed, if we let
$\widehat h_a(x):=\breve h_a(x) -a\kappa_1(a)({\operatorname{Den}(x)^a}/{\textrm{Num}(x)})\mathbf{1}_\mathbb{Q}(x)$
, where
$\mathbf{1}_\mathbb{Q}$
is the indicator function of the rationals, we have that
$\widehat h_a(x)$
still satisfies the hypothesis of Theorem 1.7. Clearly, the function
$c_a^\triangleright(x)$
obtained this way coincides with the
$c_a^\triangleright(x)$
defined above for almost all x. Also, if
$\operatorname{Re}(a)<1$
we have that
$\widehat h_a(x)\sim\breve h_a(x) $
as
$x\to0$
, and thus we can show as in (4.12) that
$({\widehat h(x)-u^{1+a} \widehat h(ux)})/{|\widehat h(x)|}=1-u^a+o(1)$
as
$x\to0$
. The same argument then gives that
$(\phi_a(c_a^\triangleright))_*(\nu)$
is diffuse.
Finally, we assume
$\operatorname{Re}(a)=1$
(we recall
$a\neq1$
). We apply Lemma 3.14 in the form of Remark 3.16. Using the notation of the remark, we have
$\widehat h_a(x)=a\kappa_1(a(({\operatorname{Den}(x)-\operatorname{Den}(x)^a})/{\textrm{Num}(x)})+O(1)\asymp 1/x \to \infty$
with
$x\in \mathcal R$
, for
$\beta\notin\mathbb{Z}$
and
$\varepsilon$
sufficiently small. Then, for
$x,ux \in \mathcal R$
,
$x=p/q$
,
$\textrm{Num}(u x)=p$
,
$\varepsilon<|\log u|<\varepsilon^{2/3}$
, as
$x\to 0^+$
we have
\begin{align*} \frac{\widehat h_a(x)-u^{1+a} \widehat h_a(ux)}{|\widehat h_a(x)|} &= a\kappa_1(a) \frac{(1- u^{a})q/p-(1-u)q^a/p}{|\breve h_a(x)|}+o(1)\\ &= a\kappa_1(a) \frac{(q^{a-1}-a)\log u+O(\varepsilon^{4/3})}{|\breve h_a(x)|x}+o(1)\\ &= a\kappa_1(a) \frac{({e}(\beta)-a)\log u+O(\varepsilon^{4/3})}{|\breve h_a(x)|x}+o(1),\end{align*}
from which we can once again conclude that
$(\phi_a(c_a^\triangleright))_*(\nu)$
is diffuse by choosing
$\beta$
appropriately.
4.3.3 The case of
$\zeta(a)=0$
.
We assume
$\zeta(a)=0$
, so that
$\kappa_1(a)=0$
,
$\operatorname{Re}(a)\in(0,1)$
and
$\operatorname{Im}(a)\neq0$
. In particular, with the same notation as in the previous section, we have that
$\widehat h_a(x)=-\kappa_2(a)\textrm{sgn}(x)+o(1)$
as
$x\to0$
. Thus,
$\widehat h_a(x)$
is continuous on
$[-1,1]\smallsetminus\{0\}$
with non-zero right and left limits
$\widehat h_a(0^\pm)=\mp\kappa_2(a)$
at
$x=0$
.Footnote
10
Since
$\kappa_2(a)\neq0$
and the weight
$1+a\notin\mathbb{R}$
, we immediately deduce from the condition (1*) in Theorem 3.5 that
$(\phi(c_a^\triangleright))_*(\nu)$
is diffuse for any non-zero linear form
$\phi$
.
4.3.4 The case of
$a=0$
.
We let
$\widehat h_0(x):= h_0(x) +1/({\pi \textrm{Num}(x)})\mathbf{1}_\mathbb{Q}(x)$
. Using (4.4) instead of (4.3), we obtain
$$\frac{\widehat h_0(x)-u \widehat h_0(ux)}{|\widehat h_0(x)|}=-\frac{u\log u+O(|x|)}{\log(2\pi |x|)+\gamma},$$
which is not quite sufficient for hypothesis (3.6) to hold. However, we observe that for
$h=\widehat h_0$
(and
$\delta=1/2$
,
$C=4$
,
$R=\varpi^{1/2}$
, and
$\xi(w):=w^{-1/2}$
), the conclusion of Lemma 3.14 holds with
$\psi(x)=x^{-1/5}$
. In view of this, and following Remark 3.15, we obtain
$$\frac{\widehat h_0(x)-u \widehat h_0(ux)}{|\widehat h_0(x)|}+O(|x|^{-1/5})=-\frac{u\log u+O(|x|)}{\log(2\pi |x|)+\gamma}+O(|x|^{-1/5}),$$
which is clearly non-zero for
$x>0$
small enough and
$\varepsilon<|\log u|<\varepsilon^{2/3}$
. Substituting this estimate inside (3.27) and completing the arguments in § 3.3.2, we conclude that
$(c_0^\triangleright)_*( \nu)$
is diffuse.
Remark 4.1. We have
$c_0^\triangleright(x) = 2\pi^{-2} D(x)$
, where
$D(x) = \sum_{n\geqslant 1} d(n) \sin(2\pi n x)/n$
whenever the series converges (see e.g. [Reference BettinBet15]). Using [Reference Balazard and MartinBM19, Equation (40)], we deduce that
$W(x) = \pi c_0^\triangleright(x) + 2G(x)$
, where W is the Wilton function defined in [Reference Lee, Marmi, Petrykiewicz and SchindlerLMPS24], and where G has the properties stated in [Reference Balazard and MartinBM19, Section 5.2]. In particular, G is bounded and continuous at irrationals. This explains the similarity between the graph of
$c_0^\triangleright$
in Figure 4e and the graph of the Wilton function as depicted on [Reference Lee, Marmi, Petrykiewicz and SchindlerLMPS24, p. 19]. We thank the referee for remarking on this similarity.
Remark 4.2.
-
(i) For
$a<-1$
, we note that the function
${\widetilde c}_a^\triangleleft$
is not in
$L^1([0, 1])$
, and therefore not in
$L^p$
for every
$p\geqslant 1$
. Indeed, otherwise, using (4.6), we would have whereas by (4.3) we have
$$ \int_{[0, 1]} {| {h_a} |} \ll 1 + \int_{[0, 1]} ({| {{\widetilde c}_a(x)} |} + {| {{\widetilde c}_a(T(x))} |}) \mathop{}\!{d} x < \infty, $$
$h_a(x) \sim \kappa_1(a)/x$
as
$x\to 0$
and thus
$\int_{[0, 1]}{| {h_a} |} = \infty$
.
-
(ii) For
$a\in (-1, 0)$
, we note that as
$q\to \infty$
, the random variable
$q^{-1-a}c_a(b/q)$
, where b is taken at random in
$\{1, \dotsc, q\}$
and coprime with q, does not have moments of order larger than
$1/{| {a} |}$
: indeed, from (4.1) and (4.3), the sole contribution of
$b=1$
is
$q^{-1-a}c_a(1/q) = \kappa_2(a) + \kappa_1(a) q^{-a} + O(1/q)$
, which diverges as
$q\to\infty$
. Similarly, when
$a\leqslant -1$
, the random variable
$c_a(b/q)$
does not have moments of order larger than 1, as then
$c_a(1/q) \sim \kappa_1(a) q$
.
4.4 Eichler integrals of Maaß cusp forms
Proof of Corollary 1.11. For simplicity, we assume u is even or odd and let
$j\in\{0,1\}$
be such that
$u(-\overline z)=(-1)^ju(z)$
. The case where u is neither is believed not to be possible, but it could also be handled easily by splitting u into its even or odd components. In [Reference BruggemanBru07], it is shown that the map
$\widetilde u$
defined in (1.11) is a quantum modular form of weight 2s, whose associated period function h is defined byFootnote
11
and by continuity at
$x=0$
, where
$c(s) = i \pi^{-s} / \Gamma(1-s)$
is a non-zero proportionality constant [Reference Lewis and ZagierLZ01, Equation (1.12)]. The map h is real-analytic separately on
$\mathbb{R}_{\leqslant 0}$
and
$\mathbb{R}_{\geqslant 0}$
and is
$\mathcal C^{\infty}$
on
$\mathbb{R}$
. Thus, Theorem 1.4 applies and yields the first part of Corollary 1.11. The expansion of
$\psi$
at 0 is implicit in [Reference Lewis and ZagierLZ01] and can be immediately deduced by shifting the line of integration to the left in the first display of [Reference Lewis and ZagierLZ01, p. 205], from which one deduces that h(x) is not identically zero on
$[-1,1]$
. Thus, since the weight is
$2s\notin\mathbb{R}$
, Theorem 3.5 applies in the case (1*), and we deduce that
$(\phi\circ \widetilde u^\triangleright)_\ast(\nu)$
is diffuse. This concludes the proof of Corollary 1.11.
Remark 4.3. By the functional equation for twists of Maaß-form L-functions, [Reference Kowalski, Michel and VanderKamKMV02, (A.12) and (A.13)], we have
where
$c_1, c_2$
are numbers depending on u. With this formulation, the regularity of
$a/q \mapsto q^{-2s} \widetilde u(\overline{a}/q)$
relates to the differentiability properties for
$\widetilde g$
which we mentioned in § 1.3.1.
An important classical problem is the analogous question when
$a_n = d(n)$
is the divisor function, see [Reference RiemannRie68, Reference ChowlaCho31, Reference WintnerWin37]. This can be seen as the case when u is replaced by a certain weight- 0, real-analytic, non-cuspidal Eisenstein series [Reference IwaniecIwa02, p. 62]. Regularity in this case can be studied from the expression above as a Fourier series; recent general results can be found in [Reference Chamizo, Petrykiewicz and Ruiz-CabelloCPRC17].
Acknowledgements
The authors are grateful to the anonymous referees and to DIMA (University of Genova) and I2M (University of Aix-Marseille), where this work was carried out, for their hospitality.
Conflicts of interest
None.
Financial support
This work has benefited from support from Aix-Marseille Université FIR Invités; from INdAM group GNAMPA; and from FWF-ANR project Arithrand: FWF: I 4945-N and ANR-20-CE91-0006. The work of the first author is partially supported by PRIN 2022 ‘The arithmetic of motives and L-functions’.
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