Generalized Space-Fractional Poisson Process via Variable-Order Stable Subordinator
Abstract
This paper introduces a variable-order stable subordinator (VOSS) with index , where is a right-continuous piecewise constant function. We drive the Generalized Space-Fractional Poisson Process via Variable-Order Stable Subordinator (GSFPP-VO) defined by , obtained by time-changing a homogeneous Poisson process with rate parameter by an independent VOSS. Explicit expressions for the Laplace transform, probability generating function, probability mass function, and moment generating function of the GSFPP-VO are derived, and these quantities are shown to satisfy partial differential equations. Finally, we establish the associated generalized distributions, analyze the hitting-time properties, and characterize the L\'evy measures of the GSFPP-VO.
Keywords
Cite
@article{arxiv.2601.06808,
title = {Generalized Space-Fractional Poisson Process via Variable-Order Stable Subordinator},
author = {Reetendra Singh and Aditya Maheshwari},
journal= {arXiv preprint arXiv:2601.06808},
year = {2026}
}
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9 pages