Gradient estimates of the heat kernel for random walks among time-dependent random conductances

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Authors: Jean-Dominique Deuschel, Takashi Kumagai, Martin Slowik
Cited by: 1
References: 46

Abstract

Abstract In this paper we consider a time-continuous random walk in $$\mathbb {Z}^{d}$$ Z d in a dynamical random environment with symmetric jump rates to nearest neighbours. We assume that these random conductances are stationary and ergodic and, moreover, that they are bounded from below but unbounded from above with finite first moment. We derive sharp on-diagonal estimates for the annealed first and second discrete space derivative of the heat kernel which then yield local limit theorems for the corresponding kernels. Assuming weak algebraic off-diagonal estimates, we then extend these results to the annealed Green function and its first and second derivative. Our proof which extends the result of [28] to unbounded conductances with first moment only, is an adaptation of the recent entropy method of [15].

Fields of Study & Subjects

Stochastic processes and statistical mechanics Diffusion and Search Dynamics Markov Chains and Monte Carlo Methods

Publication details

Journal / source
Probability Theory and Related Fields
Publisher
Springer Science and Business Media LLC
Volume
195
Issue
3-4
Pages
871–920
Publication date
22 May 2026
Language
EN