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LocalSub-Gaussian Estimates on Graphs:
The Strongly Recurrent Case


 
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1. Title Title of document LocalSub-Gaussian Estimates on Graphs:
The Strongly Recurrent Case
 
2. Creator Author's name, affiliation, country Andras Telcs; IMC
 
3. Subject Discipline(s) Mathematics
 
3. Subject Keyword(s) Random walks,potential theory, Harnack inequality, reversible Markov chains
 
3. Subject Subject classification 82B41
 
4. Description 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.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2001-05-25
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/95
 
10. Identifier Digital Object Identifier 10.1214/EJP.v6-95
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 6
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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