Abstract

Consider a set of objects, abstracted to points of a spatially stationary point process in $$\mathbb {R}^d$$Rd, that deliver to each other a service at a rate depending on their distance. Assume that the points arrive as a Poisson process and leave when their service requirements have been fulfilled. We show how such a process can be constructed and establish its ergodicity under fairly general conditions. We also establish a hierarchy of integral balance relations between the factorial moment measures and show that the time-stationary process exhibits a repulsivity property.

Highlights

  • This paper was initially motivated by our study of peer to peer file-sharing in spatial scenarios, where the transmission speed between two peers depends on their distance [1]

  • The peers1 join as a Poisson rain in R2, serve each other at rates given by some decreasing function f of their distances, and leave when their individual service requirements have been fulfilled

  • We show that the intensity measure of this point process on R is locally finite under the condition given above

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Summary

Introduction

This paper was initially motivated by our study of peer to peer file-sharing in spatial scenarios, where the transmission speed between two peers depends on their distance [1]. The authors study the evolution of the correlation functions of the process as elements of a Banach space and show that this uniquely determines the evolution of the distribution of the spatial birth and death process on certain compact sets of time They develop conservation equations for higher order moment measures [6, 4]. Combining these with differential equations describing the time evolution, we prove in Section 6 that on any compact set of space, the time of last influence of Z0 is integrable This allows to develop a coupling from the past argument, proving the fundamental existence and ergodicity result of the paper.

Spatial birth and death viewpoint
Death by random connection viewpoint
Problem statement
Assumptions on the response function
Construction on finite time horizon
The Construct Algorithm
Initialization:
More general initial conditions
The double card version of Construct
Initial condition and coupling
Augmenting the initial condition
Properties of the ConstructZ map
Section summary
Non-degeneracy of transient densities
Tightness
Positivity
Differential equations for transient moment measures
Construct
ConstructZ
ODEs for death pressures
Construction of the stationary regime
Exponential decay of the density of special points
Coupling from the past
Balance equations for moment measures
Balance equations
Bounds and approximations
Full Text
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