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Fractional Non-Linear, Linear and Sublinear Death Processes
- Publication Year :
- 2013
- Publisher :
- arXiv, 2013.
-
Abstract
- This paper is devoted to the study of a fractional version of non-linear $\mathpzc{M}^��(t)$, $t>0$, linear $M^��(t)$, $t>0$ and sublinear $\mathfrak{M}^��(t)$, $t>0$ 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 $T_{2 ��} (t)$, $t>0$. This random time has one-dimensional distribution which is the folded solution to a Cauchy problem of the fractional diffusion equation.
- Subjects :
- Cauchy problem
Sublinear function
sublinear death process
fractional diffusion
Probability (math.PR)
Statistical and Nonlinear Physics
Fractional diffusion
Dzhrbashyan–Caputo fractional derivative
Mittag-Leffler functions
Linear death process
Non-linear death process
Sublinear death process
Subordinated processes
State (functional analysis)
Derivative
subordinated processes
mittag-leffler functions
linear death process
Fractional calculus
Nonlinear system
Distribution (mathematics)
FOS: Mathematics
Probability-generating function
non-linear death process
dzhrbashyan-caputo fractional derivative
Mathematical Physics
Mathematics - Probability
Mathematics
Mathematical physics
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....bf0ab63264578af587f40e08a51c0531
- Full Text :
- https://doi.org/10.48550/arxiv.1304.0189