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Heat kernel estimates for nonlocal kinetic operators

  • Nankai University
  • Beijing Institute of Technology
  • Shenzhen MSU-BIT University

Research output: Contribution to journalArticlepeer-review

Abstract

We use probabilistic techniques to derive sharp and explicit two-sided estimates for the heat kernel of the nonlocal kinetic operator (Formula presented.) where Δvα/2 denotes the fractional Laplacian acting on the velocity variable v. We also establish logarithmic gradient estimates with respect to both the spatial variable x and the velocity variable v. In fact, our estimates are obtained for more general nonsymmetric stable-like operators and make the dependence on the lower and upper bounds of the kernel explicit. These results provide, in particular, a solution to a fundamental problem in the study of nonlocal kinetic operators.

Original languageEnglish
JournalProbability Theory and Related Fields
DOIs
Publication statusAccepted/In press - 2026
Externally publishedYes

Keywords

  • Gradient estimate
  • Heat kernel estimate
  • Nonlocal kinetic operator
  • α-stable process

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