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Stability of heat kernel estimates for symmetric non-local Dirichlet forms

Zhen-Qing Chen, Takashi Kumagai, Jian Wang

2021Memoirs of the American Mathematical Society30 citationsDOI

Abstract

In this paper, we consider symmetric jump processes of mixed-type on metric measure spaces under general volume doubling condition, and establish stability of two-sided heat kernel estimates and heat kernel upper bounds. We obtain their stable equivalent characterizations in terms of the jumping kernels, variants of cut-off Sobolev inequalities, and the Faber-Krahn inequalities. In particular, we establish stability of heat kernel estimates for <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="alpha"> <mml:semantics> <mml:mi> α </mml:mi> <mml:annotation encoding="application/x-tex">\alpha</mml:annotation> </mml:semantics> </mml:math> </inline-formula> -stable-like processes even with <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="alpha greater-than-or-equal-to 2"> <mml:semantics> <mml:mrow> <mml:mi> α </mml:mi> <mml:mo> ≥ </mml:mo> <mml:mn>2</mml:mn> </mml:mrow> <mml:annotation encoding="application/x-tex">\alpha \ge 2</mml:annotation> </mml:semantics> </mml:math> </inline-formula> when the underlying spaces have walk dimensions larger than <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="2"> <mml:semantics> <mml:mn>2</mml:mn> <mml:annotation encoding="application/x-tex">2</mml:annotation> </mml:semantics> </mml:math> </inline-formula> , which has been one of the major open problems in this area.

Topics & Concepts

AlgorithmKernel (algebra)Type (biology)AnnotationStability (learning theory)MathematicsArtificial intelligenceComputer scienceMachine learningCombinatoricsEcologyBiologyNonlinear Partial Differential EquationsGeometric Analysis and Curvature FlowsAdvanced Harmonic Analysis Research