Pregled bibliografske jedinice broj: 1245929
Positive self-similar Markov processes obtained by resurrection
Positive self-similar Markov processes obtained by resurrection // Stochastic processes and their applications, 156 (2023), 379-420 doi:10.1016/j.spa.2022.11.014 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1245929 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Positive self-similar Markov processes obtained by resurrection
Autori
Kim, Panki ; Song, Renming ; Vondraček, Zoran
Izvornik
Stochastic processes and their applications (0304-4149) 156
(2023);
379-420
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Positive self-similar Markov process ; Lamperti transform ; Lévy process ; Jump kernel ; Resurrection
Sažetak
In this paper we study positive self-similar Markov processes obtained by (partially) resurrecting a strictly α-stable process at its first exit time from (0, ∞). We construct those processes by using the Lamperti transform. We explain their long term behavior and give conditions for absorption at 0 in finite time. In case the process is absorbed at 0 in finite time, we give a necessary and sufficient condition for the existence of a recurrent extension. The motivation to study resurrected processes comes from the fact that their jump kernels may explode at zero. We establish sharp two-sided jump kernel estimates for a large class of resurrected stable processes.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-4197 - Stohastički procesi sa skokovima i nelokalni operatori (DISPNOLO) (Vondraček, Zoran, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb,
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Zoran Vondraček
(autor)
Citiraj ovu publikaciju:
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
- Zentrallblatt für Mathematik/Mathematical Abstracts