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LocalSub-Gaussian Estimates on Graphs:
The Strongly Recurrent Case

   
@article{EJP95,
	author = {Andras Telcs},
	title = {LocalSub-Gaussian Estimates on Graphs:
 The Strongly Recurrent Case},
	journal = {Electron. J. Probab.},
	fjournal = {Electronic Journal of Probability},
	volume = {6},
	year = {2001},
	keywords = {Random walks,potential theory,  Harnack inequality, reversible Markov chains},
	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.},
	pages = {no. 22, 1-33},
	issn = {1083-6489},
	doi = {10.1214/EJP.v6-95},    
        url = {http://ejp.ejpecp.org/article/view/95}}