Quenched invariance principles for random walks on percolation clusters
P. Mathieu, A. L. Piatnitski

TL;DR
This paper establishes a quenched invariance principle for random walks on infinite percolation clusters in multi-dimensional integer lattices, providing a rigorous foundation for understanding their long-term behavior.
Contribution
It proves the almost sure quenched invariance principle for random walks on infinite Bernoulli percolation clusters in dimensions two and higher, advancing theoretical understanding.
Findings
Proves quenched invariance principle for $d \\geq 2$
Validates long-term diffusive behavior of random walks on clusters
Provides a rigorous mathematical framework for percolation-based random walks
Abstract
We prove the almost sure ('quenched') invariance principle for a random walker on an infinite Bernoulli percolation cluster in where is larger or equal than 2.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
