Coagulation-Fragmentation Duality of Infinitely Exchangeable Partitions from Coupled Mixed Poisson Species Sampling Models

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Main Author: James, Lancelot F.
Format: Preprint
Published: 2025
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author James, Lancelot F.
author_facet James, Lancelot F.
contents We generalize the celebrated coagulation-fragmentation duality of Pitman (1999), originally established for the PD$(α,θ)$ laws of Pitman and Yor (1997), resolving a two-decade open problem. Our framework extends the duality to processes driven by arbitrary non-negative L'evy subordinators and, for the first time, to multi-group settings with coupled dynamics. The solution is a novel four-component system built from the PHIBP, a framework developed for modeling complex microbiome species sampling (arXiv:2502.01919), which circumvents intractable analysis on traditional partition spaces. Crucially, this architecture embeds naturally within Bertoin's (2006) continuous-time fragmentation framework, resolving a foundational impasse he highlighted [Ch. 4, p. 213]: where time-reversal fails, we introduce simultaneous structural duality, where fragmentation and coalescence evolve in physical time while maintaining a pointwise dual relationship via coupled subordinators. This provides a new generative modeling framework enabling continuous-time representations of coupled genealogical and mutational dynamics -- opening avenues for complex ancestral processes such as recombination graphs. The architecture yields exact compound Poisson representations providing tractable paths to explicit joint EPPF laws, with exact sampling inherited from the PHIBP framework. Section 7 develops the $h$-biased Lévy-Itô coupled duality constructor, extending our framework to arbitrary Polish spaces by adapting the $h$-biased PRM structure of Pitman and Yor to Cox processes driven by a common PRM. This demonstrates that duality arises from point-process regrouping rather than features specific to interval partitions.
format Preprint
id arxiv_https___arxiv_org_abs_2508_18668
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Coagulation-Fragmentation Duality of Infinitely Exchangeable Partitions from Coupled Mixed Poisson Species Sampling Models
James, Lancelot F.
Probability
60G09, 60J70 (Primary), 60G57, 60651, 92D25, G0G57 (Secondary)
We generalize the celebrated coagulation-fragmentation duality of Pitman (1999), originally established for the PD$(α,θ)$ laws of Pitman and Yor (1997), resolving a two-decade open problem. Our framework extends the duality to processes driven by arbitrary non-negative L'evy subordinators and, for the first time, to multi-group settings with coupled dynamics. The solution is a novel four-component system built from the PHIBP, a framework developed for modeling complex microbiome species sampling (arXiv:2502.01919), which circumvents intractable analysis on traditional partition spaces. Crucially, this architecture embeds naturally within Bertoin's (2006) continuous-time fragmentation framework, resolving a foundational impasse he highlighted [Ch. 4, p. 213]: where time-reversal fails, we introduce simultaneous structural duality, where fragmentation and coalescence evolve in physical time while maintaining a pointwise dual relationship via coupled subordinators. This provides a new generative modeling framework enabling continuous-time representations of coupled genealogical and mutational dynamics -- opening avenues for complex ancestral processes such as recombination graphs. The architecture yields exact compound Poisson representations providing tractable paths to explicit joint EPPF laws, with exact sampling inherited from the PHIBP framework. Section 7 develops the $h$-biased Lévy-Itô coupled duality constructor, extending our framework to arbitrary Polish spaces by adapting the $h$-biased PRM structure of Pitman and Yor to Cox processes driven by a common PRM. This demonstrates that duality arises from point-process regrouping rather than features specific to interval partitions.
title Coagulation-Fragmentation Duality of Infinitely Exchangeable Partitions from Coupled Mixed Poisson Species Sampling Models
topic Probability
60G09, 60J70 (Primary), 60G57, 60651, 92D25, G0G57 (Secondary)
url https://arxiv.org/abs/2508.18668