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arXiv · 2502.10114

Non-Gibbsian Multivariate Ewens Probability Distributions on Regular Trees

F. H. Haydarov·Z. E. Mustafoyeva·U. A. Rozikov
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Abstract

Ewens' sampling formula (ESF) provides the probability distribution governing the number of distinct genetic types and their respective frequencies at a selectively neutral locus under the infinitely-many-alleles model of mutation. A natural and significant question arises: ``Is the Ewens probability distribution on regular trees Gibbsian?" In this paper, we demonstrate that Ewens probability distributions can be regarded as non-Gibbsian distributions on regular trees and derive a sufficient condition for the consistency condition. This study lays the groundwork for a new direction in the theory of non-Gibbsian probability distributions on trees.

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F. H. Haydarov, Z. E. Mustafoyeva, U. A. Rozikov. 2025-02-14. Non-Gibbsian Multivariate Ewens Probability Distributions on Regular Trees. https://arxiv.org/abs/2502.10114

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