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Quenched local limit theorem for random conductance models with long-range jumps
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abstract
We establish the quenched local limit theorem for reversible random walk on $\Z^d$ (with $d\ge 2$) among stationary ergodic random conductances that permit jumps of arbitrary length. The proof is based on the weak parabolic Harnack inequalities and on-diagonal heat-kernel estimates for long-range random walks on general ergodic environments. In particular, this partly solves \cite[Open Problem 2.7]{BCKW}, where the quenched invariance principle was obtained. As a byproduct, we prove the maximal inequality with an extra tail term for long-range reversible random walks, which in turn yields the everywhere sublinear property for the associated corrector.
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Anchored Nash inequalities and heat kernel bounds for a class of random conductance models with long-range jumps
Degenerate long-range random conductance models and percolation clusters satisfy on-diagonal heat kernel upper bounds of order t^{-d/2} under explicit moment conditions.
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