Empirical Measures, Geodesic Lengths, and a Variational Formula in First-Passage Percolation
Erik Bates

TL;DR
This paper proves the weak convergence of empirical measures of edge-weights along geodesics in i.i.d. first-passage percolation on bZ^d for a broad class of distributions, using a new variational formula for the time constant.
Contribution
It introduces a new variational formula for the time constant and establishes empirical measure convergence for various dense classes of edge-weight distributions in first-passage percolation.
Findings
Empirical measures converge weakly to a deterministic limit for broad distribution classes.
The methodology applies to both lattice and tree structures, with explicit examples.
New convergence results for geodesic lengths in the subcritical regime.
Abstract
This monograph resolves - in a dense class of cases - several open problems concerning geodesics in i.i.d. first-passage percolation on . Our primary interest is in the empirical measures of edge-weights observed along geodesics from to , where is a fixed unit vector. For various dense families of edge-weight distributions, we prove that these empirical measures converge weakly to a deterministic limit as , answering a question of Hoffman. These families include arbitrarily small -perturbations of any given distribution, almost every finitely supported distribution, uncountable collections of continuous distributions, and certain discrete distributions whose atoms can have any prescribed sequence of probabilities. Moreover, the constructions are explicit enough to guarantee examples possessing certain features, for instance: both…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
