Extremal Invariant Distributions of Infinite Brownian Particle Systems with Rank Dependent Drifts
Sayan Banerjee, Amarjit Budhiraja

TL;DR
This paper characterizes all extremal invariant distributions of an infinite Brownian particle system with rank-dependent drifts, showing they are exactly the known product form stationary distributions, thus advancing understanding of such systems.
Contribution
It proves that all extremal invariant distributions are the known product form distributions and characterizes all such distributions satisfying mild conditions.
Findings
All stationary distributions are extremal and ergodic.
Any product form stationary distribution satisfying mild conditions is one of the known distributions.
Results are new even for the classical infinite Atlas model.
Abstract
\noindent Consider an infinite collection of particles on the real line moving according to independent Brownian motions and such that the -th particle from the left gets the drift . The case where and for all corresponds to the well studied infinite Atlas model. Under conditions on the drift vector it is known that the Markov process corresponding to the gap sequence of the associated ranked particles has a continuum of product form stationary distributions where is a semi-infinite interval of the real line. In this work we show that all of these stationary distributions are extremal and ergodic. We also prove that any product form stationary distribution of this Markov process that satisfies a mild integrability condition…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Insurance, Mortality, Demography, Risk Management
