Characterization of sub-gaussian heat kernel estimates on strongly recurrent graphs

Research output: Contribution to journalReview articlepeer-review

Abstract

Sub-Gaussian estimates for random walks are typical of fractal graphs. We characterize them in the strongly recurrent case, in terms of resistance estimates only, without assuming elliptic Harnack inequalities.

Original languageEnglish
Pages (from-to)1642-1677
Number of pages36
JournalCommunications on Pure and Applied Mathematics
Volume58
Issue number12
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes

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