Geometric branching reproduction Markov processes

We present a model of a continuous-time Markov branching process with the infinitesimal generating function defined by the geometric probability distribution. It is proved that the solution of the backward Kolmogorov equation is expressed by the composition of special functions – Wright function in...

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Main Authors: Assen Tchorbadjieff, Penka Mayster
Format: Article
Language:English
Published: VTeX 2020-09-01
Series:Modern Stochastics: Theory and Applications
Subjects:
Online Access:https://www.vmsta.org/doi/10.15559/20-VMSTA163
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spelling doaj-e35f35e768914dcab74a90c606c3b5652020-12-29T06:43:29ZengVTeXModern Stochastics: Theory and Applications2351-60462351-60542020-09-017435737810.15559/20-VMSTA163Geometric branching reproduction Markov processesAssen Tchorbadjieff0Penka Mayster1Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Acad. G. Bonchev street, Bloc 8, 1113 Sofia, BulgariaInstitute of Mathematics and Informatics, Bulgarian Academy of Sciences, Acad. G. Bonchev street, Bloc 8, 1113 Sofia, BulgariaWe present a model of a continuous-time Markov branching process with the infinitesimal generating function defined by the geometric probability distribution. It is proved that the solution of the backward Kolmogorov equation is expressed by the composition of special functions – Wright function in the subcritical case and Lambert-W function in the critical case. We found the explicit form of conditional limit distribution in the subcritical branching reproduction. In the critical case, the extinction probability and probability mass function are expressed as a series containing Bell polynomial, Stirling numbers, and Lah numbers.https://www.vmsta.org/doi/10.15559/20-VMSTA163branching processlagrange inversiongauss hypergeometricwrightlambert-w functionsextinction probability
collection DOAJ
language English
format Article
sources DOAJ
author Assen Tchorbadjieff
Penka Mayster
spellingShingle Assen Tchorbadjieff
Penka Mayster
Geometric branching reproduction Markov processes
Modern Stochastics: Theory and Applications
branching process
lagrange inversion
gauss hypergeometric
wright
lambert-w functions
extinction probability
author_facet Assen Tchorbadjieff
Penka Mayster
author_sort Assen Tchorbadjieff
title Geometric branching reproduction Markov processes
title_short Geometric branching reproduction Markov processes
title_full Geometric branching reproduction Markov processes
title_fullStr Geometric branching reproduction Markov processes
title_full_unstemmed Geometric branching reproduction Markov processes
title_sort geometric branching reproduction markov processes
publisher VTeX
series Modern Stochastics: Theory and Applications
issn 2351-6046
2351-6054
publishDate 2020-09-01
description We present a model of a continuous-time Markov branching process with the infinitesimal generating function defined by the geometric probability distribution. It is proved that the solution of the backward Kolmogorov equation is expressed by the composition of special functions – Wright function in the subcritical case and Lambert-W function in the critical case. We found the explicit form of conditional limit distribution in the subcritical branching reproduction. In the critical case, the extinction probability and probability mass function are expressed as a series containing Bell polynomial, Stirling numbers, and Lah numbers.
topic branching process
lagrange inversion
gauss hypergeometric
wright
lambert-w functions
extinction probability
url https://www.vmsta.org/doi/10.15559/20-VMSTA163
work_keys_str_mv AT assentchorbadjieff geometricbranchingreproductionmarkovprocesses
AT penkamayster geometricbranchingreproductionmarkovprocesses
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