On the concentration and the convergence rate with a moment condition in first passage percolation
Yu Zhang

TL;DR
This paper studies the concentration and convergence rate of passage times in first passage percolation on a lattice, focusing on moment conditions and employing a martingale approach under certain tail assumptions.
Contribution
It introduces a new analysis of concentration and convergence rates in first passage percolation using a martingale structure under moment conditions, extending previous exponential tail results.
Findings
Established concentration bounds under moment conditions
Derived convergence rate estimates for expected passage times
Utilized a novel martingale approach for analysis
Abstract
We consider the first passage percolation model on the lattice. In this model, we assign independently to each edge a non-negative passage time with a common distribution . Let be the passage time from the origin to . Under the exponential tail assumption, Kesten (1993) and Talagrand (1995) investigated the concentration of from its mean using different methods. With this concentration and the exponential tail assumption, Alexander gave an estimate for the convergence rate for . In this paper, focusing on a moment condition, we reinvestigate the concentration and the convergence rate for using a special martingale structure.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Markov Chains and Monte Carlo Methods
