Quenched invariance principle for random walks with time-dependent ergodic degenerate weights
classification
🧮 math.PR
keywords
randomconductancesenvironmentergodicinvarianceprinciplequenchedassume
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We study a continuous-time random walk, $X$, on $\mathbb{Z}^d$ in an environment of dynamic random conductances taking values in $(0, \infty)$. We assume that the law of the conductances is ergodic with respect to space-time shifts. We prove a quenched invariance principle for the Markov process $X$ under some moment conditions on the environment. The key result on the sublinearity of the corrector is obtained by Moser's iteration scheme.
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