The $p-$sphere and the geometric substratum of power law probability distributions
C. Vignat, A. Plastino

TL;DR
This paper explores the mathematical connection between power law distributions and uniform distributions on p-spheres, revealing how the Boltzmann-Gibbs distribution relates to power laws and linking parameters to non-extensive statistics.
Contribution
It provides a novel geometric framework connecting p-spheres to power law distributions and derives relationships between parameters and the non-extensivity parameter q.
Findings
Power law distributions can be derived from uniform laws on p-spheres.
Parameters p and n are linked to the non-extensivity parameter q.
The Boltzmann-Gibbs distribution is shown to pass through power law distributions.
Abstract
Links between power law probability distributions and marginal distributions of uniform laws on -spheres in show that a mathematical derivation of the Boltzmann-Gibbs distribution necessarily passes through power law ones. Results are also given that link parameters and to the value of the non-extensivity parameter that characterizes these power laws in the context of non-extensive statistics.
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Taxonomy
TopicsMorphological variations and asymmetry · Topological and Geometric Data Analysis
