Non-Gibbsian Multivariate Ewens Probability Distributions on Regular Trees

Fuente: arXiv
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Main Authors: Haydarov, F. H., Mustafoyeva, Z. E., Rozikov, U. A.
Format: Preprint
Published: 2025
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author Haydarov, F. H.
Mustafoyeva, Z. E.
Rozikov, U. A.
author_facet Haydarov, F. H.
Mustafoyeva, Z. E.
Rozikov, U. A.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2502_10114
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Non-Gibbsian Multivariate Ewens Probability Distributions on Regular Trees
Haydarov, F. H.
Mustafoyeva, Z. E.
Rozikov, U. A.
Probability
Functional Analysis
60K35
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.
title Non-Gibbsian Multivariate Ewens Probability Distributions on Regular Trees
topic Probability
Functional Analysis
60K35
url https://arxiv.org/abs/2502.10114