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  • 标题:Heat kernel estimates and intrinsic metric for random walks with general speed measure under degenerate conductances
  • 本地全文:下载
  • 作者:Sebastian Andres ; Jean-Dominique Deuschel ; Martin Slowik
  • 期刊名称:Electronic Communications in Probability
  • 印刷版ISSN:1083-589X
  • 出版年度:2019
  • 卷号:24
  • DOI:10.1214/18-ECP207
  • 语种:English
  • 出版社:Electronic Communications in Probability
  • 摘要:We establish heat kernel upper bounds for a continuous-time random walk under unbounded conductances satisfying an integrability assumption, where we correct and extend recent results in [3] to a general class of speed measures. The resulting heat kernel estimates are governed by the intrinsic metric induced by the speed measure. We also provide a comparison result of this metric with the usual graph distance, which is optimal in the context of the random conductance model with ergodic conductances.
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