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

Abstract In this paper we consider a time-continuous random walk in $$\mathbb {Z}^{d}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>Z</mml:mi> </mml:mrow> <mml:mi>d</mml:mi> </mml:msup> </mml:math> 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].

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Publication Details

Journal
Probability Theory and Related Fields
Published
2026-05-22
DOI
https://doi.org/10.1007/s00440-026-01499-5
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
preprint
Field-Weighted Citation Impact
0.00

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preprint

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

Martin Slowik, Takashi Kumagai, Jean-Dominique Deuschel
1 citations
Probability Theory and Related Fields
Stochastic processes and statistical mechanics
preprint

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

Martin Slowik, Takashi Kumagai, Jean-Dominique Deuschel
preprint en
1 citations

Abstract

Abstract In this paper we consider a time-continuous random walk in $$\mathbb {Z}^{d}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>Z</mml:mi> </mml:mrow> <mml:mi>d</mml:mi> </mml:msup> </mml:math> 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].

Probability Theory and Related Fields
Technische Hochschule Mannheim (DE), Waseda University (JP), University of Mannheim (DE), Technische Universität Berlin (DE)
Alexander von Humboldt-Stiftung, Deutsche Forschungsgemeinschaft, Japan Society for the Promotion of Science
Openalex Percentile: Top 98%
Stochastic processes and statistical mechanics
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Gradient estimates of the heat kernel for random walks among time-dependent random conductances — Martin Slowik, Takashi Kumagai, et al. · Probability Theory and Related Fields (2026) | TGRS Research Map | TGRS