Fractional Poisson Processes of Order k and Beyond
Neha Gupta, Arun Kumar

TL;DR
This paper introduces fractional Poisson processes of order k in multiple dimensions, generalizing classical Poisson processes with heavy-tailed waiting times and infinite arrivals, along with their governing equations and martingale properties.
Contribution
It defines new fractional Poisson processes of order k in Euclidean space, deriving their probabilities, differential equations, and martingale characterizations, extending classical models.
Findings
Derived marginal probabilities and difference-differential equations.
Established Watanabe martingale characterization.
Showed processes generalize classical Poisson models with heavy tails.
Abstract
In this article, we introduce fractional Poisson felds of order k in n-dimensional Euclidean space . We also work on time-fractional Poisson process of order k, space-fractional Poisson process of order k and tempered version of time-space fractional Poisson process of order k in one dimensional Euclidean space . These processes are defined in terms of fractional compound Poisson processes. Time-fractional Poisson process of order k naturally generalizes the Poisson process and Poisson process of order k to a heavy tailed waiting times counting process. The space-fractional Poisson process of order k, allows on average infinite number of arrivals in any interval. We derive the marginal probabilities, governing difference-differential equations of the introduced processes. We also provide Watanabe martingale characterization for some time-changed Poisson processes.
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Taxonomy
TopicsFractional Differential Equations Solutions · Mathematical functions and polynomials · Nonlinear Differential Equations Analysis
