Published online by Cambridge University Press: 01 July 2016
The horizon ξ T (x) of a random field ζ (x, y) of right circular cones on a plane is investigated. It is supposed that bases of cones are centered at points sn = (xn , yn ), n = 1, 2, ···, on the (X, Y)-plane, constituting a Poisson point process S with intensity λ0 > 0 in a strip ΠT = {(x, y): – ∞< x <∞, 0 ≦ y ≦ T}, while altitudes of the cones h 1, h 2, · ·· are of the form hn = hn * + f(yn ), n = 1, 2, ···, where f(y) is an increasing continuous function on [0,∞), f(0) = 0, and h 1*, h 2*, · ·· is a sequence of i.i.d. positive random variables which are independent of the Poisson process S and have a distribution function F(h) with density p(h).
Let  denote the expected mean number of local maxima of the process ξ T (x) per unit length of the X-axis. We obtain an exact formula for
 denote the expected mean number of local maxima of the process ξ T (x) per unit length of the X-axis. We obtain an exact formula for  under an arbitrary trend function f(y). Conditions sufficient for the limit
 under an arbitrary trend function f(y). Conditions sufficient for the limit  being infinite are obtained in two cases: (a) h 1* has the uniform distribution in [0, H], f(y) = ky γ; (b) h 1* has the Rayleigh distribution, f(y) = k[log(y + 1)]γ . (In both cases γ 0 and 0 < k∞.) The corresponding sufficient conditions are: 0 < γ< 1 in case (a), 0 < γ< 1/2 in case (b).
 being infinite are obtained in two cases: (a) h 1* has the uniform distribution in [0, H], f(y) = ky γ; (b) h 1* has the Rayleigh distribution, f(y) = k[log(y + 1)]γ . (In both cases γ 0 and 0 < k∞.) The corresponding sufficient conditions are: 0 < γ< 1 in case (a), 0 < γ< 1/2 in case (b).