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Local Sub-Gaussian Estimates on Graphs: The Strongly Recurrent Case
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Abstract
This paper proves upper and lower off-diagonal,
sub-Gaussian transition probabilities estimates for strongly recurrent
random walks under sufficient and necessary conditions. Several equivalent
conditions are given showing their particular role and influence on the
connection between the sub-Gaussian estimates, parabolic and elliptic Harnack
inequality.
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Full text: PDF
Pages: 1-33
Published on: May 25, 2001
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Electronic Journal of Probability. ISSN: 1083-6489 |
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