Mean-Field interacton of Brownian occupation measures. II: A rigorous construction of the Pekar process
Erwin Bolthausen, Wolfgang Koenig, Chiranjib Mukherjee

TL;DR
This paper rigorously constructs the Pekar process as the limit of mean-field measures for interacting Brownian paths with Coulomb potential, advancing the understanding of the polaron problem's path measure approximation.
Contribution
It provides a rigorous construction of the Pekar process by analyzing the convergence of occupation measures in a mean-field Brownian interaction model.
Findings
Convergence of normalized occupation measures to a mixture of Pekar variational maximizers.
Rigorous construction of the Pekar process from mean-field path measures.
Extension of large deviation techniques to singular Coulomb interactions.
Abstract
We consider mean-field interactions corresponding to Gibbs measures on interacting Brownian paths in three dimensions. The interaction is self-attractive and is given by a singular Coulomb potential. The logarithmic asymptotics of the partition function for this model were identified in the 1980s by Donsker and Varadhan [6] in terms of the {\it{Pekar variational formula}}, which coincides with the behavior of the partition function of the {\it{polaron problem}} under strong coupling. Based on this, in 1986 Spohn [14] made a heuristic observation that the strong coupling behavior of the polaron path measure, on certain time scales, should resemble a process, named as the {\it{Pekar process}}, whose distribution could somehow be guessed from the limiting asymptotic behavior of the mean-field measures under interest, whose rigorous analysis remained open. The present paper is devoted to a…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Random Matrices and Applications
