Green function estimates for relativistic stable processes in half-space-like open sets
Zhen-Qing Chen,
Panki Kim and
Renming Song
Stochastic Processes and their Applications, 2011, vol. 121, issue 5, 1148-1172
Abstract:
In this paper, we establish sharp two-sided estimates for the Green functions of relativistic stable processes (i.e. Green functions for non-local operators m-(m2/[alpha]-[Delta])[alpha]/2) in half-space-like C1,1 open sets. The estimates are uniform in m[set membership, variant](0,M] for each fixed M[set membership, variant](0,[infinity]). When m[downwards arrow]0, our estimates reduce to the sharp Green function estimates for -(-[Delta])[alpha]/2 in such kind of open sets that were obtained recently in Chen and Tokle [12]. As a tool for proving our Green function estimates, we show that a boundary Harnack principle for Xm, which is uniform for all m[set membership, variant](0,[infinity]), holds for a large class of non-smooth open sets.
Keywords: Symmetric; [alpha]-stable; process; Relativistic; stable; process; Green; function; Exit; time; Lévy; system; Uniform; Harnack; inequality; Uniform; boundary; Harnack; principle (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4149(11)00016-0
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:121:y:2011:i:5:p:1148-1172
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().