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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2020-09-01
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Online Access: | https://www.vmsta.org/doi/10.15559/20-VMSTA163 |
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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 |
_version_ |
1724367998973640704 |