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Pregled bibliografske jedinice broj: 784621

Minimal thinness with respect to subordinate killed Brownian motions


Kim, Panki; Song, Renming; Vondraček, Zoran
Minimal thinness with respect to subordinate killed Brownian motions // Stochastic processes and their applications, 126 (2016), 1226-1263 doi:10.1016/j.spa.2015.10.016 (međunarodna recenzija, članak, znanstveni)


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Naslov
Minimal thinness with respect to subordinate killed Brownian motions

Autori
Kim, Panki ; Song, Renming ; Vondraček, Zoran

Izvornik
Stochastic processes and their applications (0304-4149) 126 (2016); 1226-1263

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Minimal thinness ; subordinate killed Brownian motions ; killed subordinate Brownian motions ; censored stable processes ; transition density ; Green function ; Martin kernel ; quasi-additivity ; Wiener-type criterion

Sažetak
Minimal thinness is a notion that describes the smallness of a set at a boundary point. In this paper, we provide tests for minimal thinness for a large class of subordinate killed Brownian motions in bounded $C^{; ; ; ; ; ; 1, 1}; ; ; ; ; ; $ domains, $C^{; ; ; ; ; ; 1, 1}; ; ; ; ; ; $ domains with compact complements and domains above graphs of bounded $C^{; ; ; ; ; ; 1, 1}; ; ; ; ; ; $ functions.

Izvorni jezik
Engleski

Znanstvena područja
Matematika



POVEZANOST RADA


Projekti:
HRZZ-IP-2013-11-3526 - Stohastičke metode u analitičkim i primijenjenim problemima (SMAAP) (Vondraček, Zoran, HRZZ - 2013-11) ( CroRIS)

Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb,
Prirodoslovno-matematički fakultet, Zagreb

Profili:

Avatar Url Zoran Vondraček (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com dx.doi.org

Citiraj ovu publikaciju:

Kim, Panki; Song, Renming; Vondraček, Zoran
Minimal thinness with respect to subordinate killed Brownian motions // Stochastic processes and their applications, 126 (2016), 1226-1263 doi:10.1016/j.spa.2015.10.016 (međunarodna recenzija, članak, znanstveni)
Kim, P., Song, R. & Vondraček, Z. (2016) Minimal thinness with respect to subordinate killed Brownian motions. Stochastic processes and their applications, 126, 1226-1263 doi:10.1016/j.spa.2015.10.016.
@article{article, author = {Kim, Panki and Song, Renming and Vondra\v{c}ek, Zoran}, year = {2016}, pages = {1226-1263}, DOI = {10.1016/j.spa.2015.10.016}, keywords = {Minimal thinness, subordinate killed Brownian motions, killed subordinate Brownian motions, censored stable processes, transition density, Green function, Martin kernel, quasi-additivity, Wiener-type criterion}, journal = {Stochastic processes and their applications}, doi = {10.1016/j.spa.2015.10.016}, volume = {126}, issn = {0304-4149}, title = {Minimal thinness with respect to subordinate killed Brownian motions}, keyword = {Minimal thinness, subordinate killed Brownian motions, killed subordinate Brownian motions, censored stable processes, transition density, Green function, Martin kernel, quasi-additivity, Wiener-type criterion} }
@article{article, author = {Kim, Panki and Song, Renming and Vondra\v{c}ek, Zoran}, year = {2016}, pages = {1226-1263}, DOI = {10.1016/j.spa.2015.10.016}, keywords = {Minimal thinness, subordinate killed Brownian motions, killed subordinate Brownian motions, censored stable processes, transition density, Green function, Martin kernel, quasi-additivity, Wiener-type criterion}, journal = {Stochastic processes and their applications}, doi = {10.1016/j.spa.2015.10.016}, volume = {126}, issn = {0304-4149}, title = {Minimal thinness with respect to subordinate killed Brownian motions}, keyword = {Minimal thinness, subordinate killed Brownian motions, killed subordinate Brownian motions, censored stable processes, transition density, Green function, Martin kernel, quasi-additivity, Wiener-type criterion} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • MathSciNet


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