
TL;DR
This paper introduces a generalized class of Pearson-Dirichlet random walks with step lengths following a Dirichlet distribution, deriving their endpoint distributions and exploring their properties in various dimensions.
Contribution
It extends previous models by generalizing step lengths to Dirichlet distributions and characterizes the joint endpoint distributions in multiple dimensions.
Findings
Endpoint distribution inside a ball for specific steps and dimensions
Existence of two families of Pearson-Dirichlet walks with shared properties
New walks with uniform endpoint distribution derived from integral formulas
Abstract
A constrained diffusive random walk of n steps and a random flight in Rd, which can be expressed in the same terms, were investigated independently in recent papers. The n steps of the walk are identically and independently distributed random vectors of exponential length and uniform orientation. Conditioned on the sum of their lengths being equal to a given value l, closed-form expressions for the distribution of the endpoint of the walk were obtained altogether for any n for d=1, 2, 4 . Uniform distributions of the endpoint inside a ball of radius l were evidenced for a walk of three steps in 2D and of two steps in 4D. The previous walk is generalized by considering step lengths which are distributed over the unit (n-1) simplex according to a Dirichlet distribution whose parameters are all equal to q, a given positive value. The walk and the flight above correspond to q=1. For any d…
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