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Random conductance models with stable-like jumps: Heat kernel estimates and Harnack inequalities

Journal of Functional Analysis(2020)

Cited 14|Views11
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Abstract
We establish two-sided heat kernel estimates for random conductance models with non-uniformly elliptic (possibly degenerate) stable-like jumps on graphs. These are long range counterparts of the well known two-sided Gaussian heat kernel estimates by M.T. Barlow for nearest neighbor (short range) random walks on the supercritical percolation cluster. Unlike the cases of nearest neighbor conductance models, we cannot use parabolic Harnack inequalities since even elliptic Harnack inequalities do not hold in the present setting. As an application, we establish the local limit theorem for the models.
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60G51,60G52,60J25,60J75
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