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Diffusion Approximation for Symmetric Birth-and-Death Processes with Polynomial Rates Научная публикация

Журнал Markov Processes and Related Fields
ISSN: 1024-2953
Вых. Данные Год: 2023, Том: 29, Номер: 4, Страницы: 605-618 Страниц : 14 DOI: 10.61102/1024-2953-mprf.2023.29.4.007
Ключевые слова birth-death processes, stochastic differential equations, diffusion approximation
Авторы Logachov A 1 , Logachova O. 2 , Pechersky E. 3 , Presman E. 4 , Yambartsev A. 5
Организации
1 Sobolev Institute of Mathematics, Siberian Branch of the RAS
2 Siberian State University of Geosystems and Technologies
3 Institute for Information Transmission Problems of Russian Academy of Sciences
4 Central Economics and Mathematics Institute of Russian Academy of Sciences
5 Institute of Mathematics and Statistics, University of Sao Paulo

Информация о финансировании (1)

1 Институт математики им. С.Л. Соболева СО РАН FWNF-2022-0010

Реферат: The symmetric birth and death stochastic process on the non-negative integers x Z+ with polynomial rates x [12] x= 0, is studied. The process moves slowly and spends more time in the neighborhood of the state 0. We prove the convergence of the scaled process to a solution of stochastic di erential equation without drift. Sticking phenomenon appears at the limiting process: trajectories, starting from any state, take nite time to reach 0 and remain there inde nitely
Библиографическая ссылка: Logachov A. , Logachova O. , Pechersky E. , Presman E. , Yambartsev A.
Diffusion Approximation for Symmetric Birth-and-Death Processes with Polynomial Rates
Markov Processes and Related Fields. 2023. V.29. N4. P.605-618. DOI: 10.61102/1024-2953-mprf.2023.29.4.007 WOS Scopus РИНЦ OpenAlex
Даты:
Поступила в редакцию: 29 окт. 2023 г.
Принята к публикации: 5 дек. 2023 г.
Опубликована в печати: 21 янв. 2024 г.
Опубликована online: 21 янв. 2024 г.
Идентификаторы БД:
Web of science: WOS:001162003800005
Scopus: 2-s2.0-85200764957
РИНЦ: 65777682
OpenAlex: W4390539140
Цитирование в БД: Пока нет цитирований
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