On a Fractional Variant of Linear Birth-Death Process

Fuente: arXiv
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Autores principales: Dhillon, Manisha, Vishwakarma, Pradeep, Kataria, Kuldeep Kumar
Formato: Preprint
Publicado: 2025
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author Dhillon, Manisha
Vishwakarma, Pradeep
Kataria, Kuldeep Kumar
author_facet Dhillon, Manisha
Vishwakarma, Pradeep
Kataria, Kuldeep Kumar
contents We introduce and study a fractional variant of the linear birth-death process, namely, the generalized fractional linear birth-death process (GFLBDP) which is defined by taking the regularized Hilfer-Prabhakar derivative in the system of differential equations that governs the state probabilities of linear birth-death process. For a particular choice of parameters, the GFLBDP reduces to the fractional linear birth-death process that involves the Caputo derivative. Its time-changed representation is obtained and utilized to derive the explicit expressions of its state probabilities. The explicit expressions for its mean and variance are derived. In a particular case, it is observed that the limiting distribution of the time changing process coincides to that of an inverse stable subordinator. A relation between the extinction probability of GFLBDP and the density of inter arrival times of a generalized fractional Poisson process is obtained. Later, we study some integrals of the GFLBDP and discuss the asymptotic distributional characteristics for a particular integral process. Also, an application of the path integral at random time to a genetic population with an upper bound is discussed.
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id arxiv_https___arxiv_org_abs_2502_07329
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On a Fractional Variant of Linear Birth-Death Process
Dhillon, Manisha
Vishwakarma, Pradeep
Kataria, Kuldeep Kumar
Probability
Primary: 60J27, Secondary: 60J20
We introduce and study a fractional variant of the linear birth-death process, namely, the generalized fractional linear birth-death process (GFLBDP) which is defined by taking the regularized Hilfer-Prabhakar derivative in the system of differential equations that governs the state probabilities of linear birth-death process. For a particular choice of parameters, the GFLBDP reduces to the fractional linear birth-death process that involves the Caputo derivative. Its time-changed representation is obtained and utilized to derive the explicit expressions of its state probabilities. The explicit expressions for its mean and variance are derived. In a particular case, it is observed that the limiting distribution of the time changing process coincides to that of an inverse stable subordinator. A relation between the extinction probability of GFLBDP and the density of inter arrival times of a generalized fractional Poisson process is obtained. Later, we study some integrals of the GFLBDP and discuss the asymptotic distributional characteristics for a particular integral process. Also, an application of the path integral at random time to a genetic population with an upper bound is discussed.
title On a Fractional Variant of Linear Birth-Death Process
topic Probability
Primary: 60J27, Secondary: 60J20
url https://arxiv.org/abs/2502.07329