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Fractal Geometry and Stochastics IVHeat Kernels on Metric Spaces with Doubling Measure

Fractal Geometry and Stochastics IV: Heat Kernels on Metric Spaces with Doubling Measure [In this survey we discuss heat kernel estimates of self-similar type on metric spaces with doubling measures. We characterize the tail functions from heat kernel estimates in both non-local and local cases. In the local case we also specify the domain of the energy form as a certain Besov space, and identify the walk dimension in terms of the critical Besov exponent. The techniques used include self-improvement of heat kernel upper bound and the maximum principle for weak solutions. All proofs are completely analytic.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Fractal Geometry and Stochastics IVHeat Kernels on Metric Spaces with Doubling Measure

Part of the Progress in Probability Book Series (volume 61)
Editors: Bandt, Christoph; Zähle, Martina; Mörters, Peter

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References (39)

Publisher
Birkhäuser Basel
Copyright
© Birkhäuser Basel 2009
ISBN
978-3-0346-0029-3
Pages
3 –44
DOI
10.1007/978-3-0346-0030-9_1
Publisher site
See Chapter on Publisher Site

Abstract

[In this survey we discuss heat kernel estimates of self-similar type on metric spaces with doubling measures. We characterize the tail functions from heat kernel estimates in both non-local and local cases. In the local case we also specify the domain of the energy form as a certain Besov space, and identify the walk dimension in terms of the critical Besov exponent. The techniques used include self-improvement of heat kernel upper bound and the maximum principle for weak solutions. All proofs are completely analytic.]

Published: Dec 30, 2009

Keywords: Primary: 47D07; Secondary: 28A80; 46E35; Doubling measure; heat kernel; maximum principle; heat equation

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