arXiv Analytics

Sign in

arXiv:1304.0189 [math.PR]AbstractReferencesReviewsResources

Fractional Non-Linear, Linear and Sublinear Death Processes

Enzo Orsingher, Federico Polito, Ludmila Sakhno

Published 2013-03-31Version 1

This paper is devoted to the study of a fractional version of non-linear $\mathpzc{M}^\nu(t)$, $t>0$, linear $M^\nu (t)$, $t>0$ and sublinear $\mathfrak{M}^\nu (t)$, $t>0$ death processes. Fractionality is introduced by replacing the usual integer-order derivative in the difference-differential equations governing the state probabilities, with the fractional derivative understood in the sense of Dzhrbashyan--Caputo. We derive explicitly the state probabilities of the three death processes and examine the related probability generating functions and mean values. A useful subordination relation is also proved, allowing us to express the death processes as compositions of their classical counterparts with the random time process $T_{2 \nu} (t)$, $t>0$. This random time has one-dimensional distribution which is the folded solution to a Cauchy problem of the fractional diffusion equation.

Journal: Journal of Statistical Physics, Vol. 141 (1), 68-93, 2010
Categories: math.PR
Related articles: Most relevant | Search more
arXiv:0909.3385 [math.PR] (Published 2009-09-18)
Convergence of a kinetic equation to a fractional diffusion equation
arXiv:1510.00315 [math.PR] (Published 2015-10-01)
Fractional diffusion equation with distributed-order material derivative. Stochastic foundations
arXiv:1912.01753 [math.PR] (Published 2019-12-04)
A family of fractional diffusion equations derived from stochastic harmonic chains with long-range interactions