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Random walk on dynamical percolation in Euclidean lattices: separating critical and supercritical regimes
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abstract
We study the random walk on dynamical percolation of $\mathbb{Z}^d$ (resp., the two-dimensional triangular lattice $\mathcal{T}$), where each edge (resp., each site) can be either open or closed, refreshing its status at rate $\mu\in (0,1/e]$. The random walk moves along open edges in $\mathbb{Z}^d$ (resp., open sites in $\mathcal{T}$) at rate $1$. For the critical regime $p=p_c$, we prove the following two results: on $\mathcal{T}$, the mean squared displacement of the random walk from $0$ to $t$ is at most $O(t\mu^{5/132-\epsilon})$ for any $\epsilon>0$; on $\mathbb{Z}^d$ with $d\geq 11$, the corresponding upper bound for the mean squared displacement is $O(t \mu^{1/2}\log(1/\mu))$. For the supercritical regime $p>p_c$, we prove that the mean squared displacement on $\mathbb{Z}^d$ is at least $ct$ for some $c=c(d)>0$ that does not depend on $\mu$.
Forward citations
Cited by 2 Pith papers
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Mixing times of spin systems on dynamical percolation
For p below the critical percolation probability and sufficiently small λ, the mixing time of nearest-neighbor Glauber dynamics on dynamical percolation is Θ(log N / λ) on the d-dimensional torus.
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Biased random walk on the critical curve of dynamical percolation
For dynamical percolation in Z^d, the paper derives the e^{-2λ} term in the speed expansion and proves that on the critical curve μ²=p(1-p), d≥2, the speed is eventually increasing in the bias.
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