<p>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 or non-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.</p>

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Non-Gibbsian Multivariate Ewens Probability Distributions on Regular Trees

  • U. A. Rozikov,
  • Z. E. Mustafoyeva,
  • F. H. Haydarov

摘要

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 or non-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.