State-dependent fractional point processes
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In this paper, the authors analyzed the fractional Poisson process where the state probabilities p k ν k (t), t ≥ 0, are governed by time-fractional equations of order 0 < νk ≤ 1 depending on the number k of events that have occurred up to time t. They also introduced a different form of fractional state-dependent poisson process as a weighted sum of homogeneous Poisson processes.Abstract:
In this paper we analyse the fractional Poisson process where the state probabilities p k ν k (t), t ≥ 0, are governed by time-fractional equations of order 0 < ν k ≤ 1 depending on the number k of events that have occurred up to time t. We are able to obtain explicitly the Laplace transform of p k ν k (t) and various representations of state probabilities. We show that the Poisson process with intermediate waiting times depending on ν k differs from that constructed from the fractional state equations (in the case of ν k = ν, for all k, they coincide with the time-fractional Poisson process). We also introduce a different form of fractional state-dependent Poisson process as a weighted sum of homogeneous Poisson processes. Finally, we consider the fractional birth process governed by equations with state-dependent fractionality.read more
Citations
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Semi-Markov Models and Motion in Heterogeneous Media
Costantino Ricciuti,Bruno Toaldo +1 more
TL;DR: In this article, the authors studied continuous time random walks such that the holding time in each state has a distribution depending on the state itself, and provided integro-differential (backward and forward) equations of Volterra type, exhibiting a position dependent convolution kernel.
Journal ArticleDOI
Time-Inhomogeneous Jump Processes and Variable Order Operators
TL;DR: In this paper, the authors introduce non-decreasing jump processes with independent and time non-homogeneous increments, which generalize subordinators in the sense that their Laplace exponents are possibly different Bernstein functions for each time t. Although they are not Levy processes, they somehow generalise subordinators, and by means of these processes, a generalization of subordinate semigroups, a two-parameter semigroup (propagators) arise and a Phillips formula which leads to time dependent generators.
Journal ArticleDOI
On semi-Markov processes and their Kolmogorov's integro-differential equations
TL;DR: In this article, an integro-differential form of the Kolmogorov's backward equations for a large class of homogeneous semi-Markov processes, having the form of an abstract Volterra integrodifferential equation, was provided.
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Generalized Nonlinear Yule Models
TL;DR: In this paper, a fractional nonlinear modification of the classical Yule model was proposed for the development of networks such as the World Wide Web, where the authors derived the explicit distribution of the number of in-links of a webpage chosen uniformly at random recognizing the contribution to the asymptotics and the finite time correction.
References
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Handbook of Mathematical Functions
Book
NIST Handbook of Mathematical Functions
TL;DR: This handbook results from a 10-year project conducted by the National Institute of Standards and Technology with an international group of expert authors and validators and is destined to replace its predecessor, the classic but long-outdated Handbook of Mathematical Functions, edited by Abramowitz and Stegun.
A singular integral equation with a generalized mittag leffler function in the kernel
TL;DR: In this article, a linear operator of order functions of order (1.2) is defined and an operator of fractional integration is employed to prove results on the solutions of the integral equation.
Book
Special Functions for Applied Scientists
Arak M. Mathai,Hans J. Haubold +1 more
TL;DR: In this article, Mittag-Leffler functions and fractional calculus are used for estimating density and order statistics in time series and wavelet analysis, respectively, in the context of matrix arguments.