Stationary solutions and local equations for interacting diffusions on regular trees
Daniel Lacker, Jiacheng Zhang

TL;DR
This paper characterizes invariant measures of infinite interacting diffusions on regular trees using local equations and fixed point analysis, revealing new insights into spectral measures and repulsion effects.
Contribution
It introduces a novel local equation framework for analyzing invariant measures of SDE systems on trees, with existence and uniqueness results and applications to spectral laws and repulsive interactions.
Findings
Derived a new characterization of joint laws at adjacent vertices.
Proved existence and uniqueness of invariant measures for the local equation.
Applied methods to recover the Kesten-McKay law and construct repulsive SDE solutions.
Abstract
We study the invariant measures of infinite systems of stochastic differential equations (SDEs) indexed by the vertices of a regular tree. These invariant measures correspond to Gibbs measures associated with certain continuous specifications, and we focus specifically on those measures which are homogeneous Markov random fields. We characterize the joint law at any two adjacent vertices in terms of a new two-dimensional SDE system, called the "local equation", which exhibits an unusual dependence on a conditional law. Exploiting an alternative characterization in terms of an eigenfunction-type fixed point problem, we derive existence and uniqueness results for invariant measures of the local equation and infinite SDE system. This machinery is put to use in two examples. First, we give a detailed analysis of the surprisingly subtle case of linear coefficients, which yields a new way to…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
