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The Horizon of the Random Cone Field Under a Trend

Part of: Stochastic processes

Published online by Cambridge University Press:  01 July 2016

Vladimir P. Nosko
Vladimir P. Nosko*
Affiliation:
Moscow State University
*
* Postal address: Laboratory of Probability, Faculty of Mathematics and Mechanics, Moscow State University, 119899 Moscow, Russia.
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Abstract

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 h1, h2, · ·· 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 h1*, h2*, · ·· 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 under an arbitrary trend function f(y). Conditions sufficient for the limit being infinite are obtained in two cases: (a) h1* has the uniform distribution in [0, H], f(y) = kyγ; (b) h1* 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).

Keywords

RANDOM FIELDGRINDING PROCESSGROUND SURFACE

MSC classification

Primary: 60G60: Random fields
Secondary: 60G70: Extreme value theory; extremal processes 60G55: Point processes
Type
Stochastic Geometry and Statistical Applications
Information
Advances in Applied Probability , Volume 26 , Issue 3 , September 1994 , pp. 597 - 615
Copyright
Copyright © Applied Probability Trust 1994 

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References

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