# Fractional Poisson Random Fields on $\\mathbb{R}^2\_+$ Source: [Fractional Poisson Random Fields on $\\mathbb{R}^2\_+$]() Collection index: [llms.txt]() Data updated: 2025-10-25T17:25:26.908Z Authors: K. K. Kataria, P. Vishwakarma Published: 2024-07-22T13:25:52.000Z ## Abstract In this paper, we consider a fractional Poisson random field (FPRF) on positive plane. It is defined as a process whose one dimensional distribution is the solution of a system of fractional partial differential equations. A time-changed representation for the FPRF is given in terms of the composition of Poisson random field with a bivariate random process. Some integrals of the FPRF are introduced and studied. Using the Adomian decomposition method, a closed form expression for its probability mass function is obtained in terms of the generalized Wright function. Some results related to the order statistics of random numbers of random variables are presented. Also, we introduce a generalization of Poisson random field on $\\mathbb{R}^d\_+$, $d\\ge1$ which reduces to the Poisson random field in a special case. For $d=1$, it further reduces to a generalized Poisson process (GPP). A time-changed representation for the GPP is established. Moreover, we construct a time-changed linear and planer random motions of a particle driven by the GPP. The conditional distribution of the random position of particle is derived. Later, we define the compound fractional Poisson random field via FPRF. Also, a generalized version of it on $\\mathbb{R}^d\_+$, $d\\ge1$ is discussed. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. ## Original sources and implementation [Original paper]() [PDF]()