Multiple Partition Structures and Harmonic Functions on Branching Graphs
Eugene Strahov

TL;DR
This paper introduces multiple partition structures related to harmonic functions on branching graphs, generalizing Kingman's structures, with applications to population genetics and a new multiple Poisson-Dirichlet distribution.
Contribution
It establishes a bijective correspondence between harmonic functions and probability measures on a generalized Thoma set, extending the theory of partition structures.
Findings
Established a representation theorem for multiple partition structures.
Constructed a probability measure on wreath products related to population genetics.
Defined a multiple Poisson-Dirichlet distribution as a generalization of the classical distribution.
Abstract
We introduce and study multiple partition structures which are sequences of probability measures on families of Young diagrams subjected to a consistency condition. The multiple partition structures are generalizations of Kingman's partition structures, and are motivated by a problem of population genetics. They are related to harmonic functions and coherent systems of probability measures on a certain branching graph. The vertices of this graph are multiple Young diagrams (or multiple partitions), and the edges depend on the Jack parameter. Our main result establishes a bijective correspondence between the set of harmonic functions on the graph and probability measures on the generalized Thoma set. The correspondence is determined by a canonical integral representation of harmonic functions. As a consequence we obtain a representation theorem for multiple partition structures. We…
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Taxonomy
TopicsBayesian Methods and Mixture Models
