Uniform mixing time for Random Walk on Lamplighter Graphs

preprint2012arXivOpen access

Abstract

Suppose that $\CG$ is a finite, connected graph and XX is a lazy random walk on $\CG$. The lamplighter chain X⋄X^\diamond associated with XX is the random walk on the wreath product $\CG^\diamond = \Z_2 \wr \CG$, the graph whose vertices consist of pairs (f,x)(f,x) where ff is a labeling of the vertices of $\CG$ by elements of Z2\Z_2 and xx is a vertex in $\CG$. There is an edge between (f,x)(f,x) and (g,y)(g,y) in $\CG^\diamond$ if and only if xx is adjacent to yy in $\CG$ and f(z)=g(z)f(z) = g(z) for all z≠x,yz \neq x,y. In each step, X⋄X^\diamond moves from a configuration (f,x)(f,x) by updating xx to yy using the transition rule of XX and then sampling both f(x)f(x) and f(y)f(y) according to the uniform distribution on Z2\Z_2; f(z)f(z) for z≠x,yz \neq x,y remains unchanged. We give matching upper and lower bounds on the uniform mixing time of X⋄X^\diamond provided $\CG$ satisfies mild hypotheses. In particular, when $\CG$ is the hypercube Z2d\Z_2^d, we show that the uniform mixing time of X⋄X^\diamond is Θ(d2d)Θ(d 2^d). More generally, we show that when $\CG$ is a torus Znd\Z_n^d for d≥3d \geq 3, the uniform mixing time of X⋄X^\diamond is Θ(dnd)Θ(d n^d) uniformly in nn and dd. A critical ingredient for our proof is a concentration estimate for the local time of random walk in a subset of vertices.

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