Phase transitions of composition schemes: Mittag-Leffler and mixed Poisson distributions

Multitudinous probabilistic and combinatorial objects are associated with generating functions satisfying a composition scheme F(z)=G(H(z)). The analysis becomes challenging when this scheme is critical (i.e., G and H are simultaneously singular). Motivated by many examples (random mappings, planar maps, directed lattice paths), we consider a natural extension of this scheme, namely F(z,u)=G(uH(z))M(z). We also consider a variant of this scheme, which allows us to analyse the number of H-components of a given size in F. We prove that these two models lead to a rich world of limit laws, where we identify the key role played by a new universal law introduced in this article: the three-parameter Mittag-Leffler distribution, which is essentially the product of a beta and a Mittag-Leffler distribution. We also prove (double) phase transitions, additionally involving Boltzmann and mixed Poisson distributions, bringing a unified explanation of the associated thresholds. In all cases we obtain moment convergence and local limit theorems. We end with extensions of the critical composition scheme to a cycle scheme and to the multivariate case, leading to product distributions. Applications are presented for random walks, trees (supertrees of trees, increasingly labelled trees, preferential attachment trees), triangular Pólya urns, and the Chinese restaurant process.

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Publication Details

Journal
The Annals of Applied Probability
Published
2024-09-27
DOI
https://doi.org/10.1214/24-aap2076
Primary Topic
Material Science and Thermodynamics
Type
article
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article

Phase transitions of composition schemes: Mittag-Leffler and mixed Poisson distributions

Markus Kuba, Cyril Banderier, Michael Wallner
The Annals of Applied Probability
Material Science and Thermodynamics
article

Phase transitions of composition schemes: Mittag-Leffler and mixed Poisson distributions

Markus Kuba, Cyril Banderier, Michael Wallner
article en

Abstract

Multitudinous probabilistic and combinatorial objects are associated with generating functions satisfying a composition scheme F(z)=G(H(z)). The analysis becomes challenging when this scheme is critical (i.e., G and H are simultaneously singular). Motivated by many examples (random mappings, planar maps, directed lattice paths), we consider a natural extension of this scheme, namely F(z,u)=G(uH(z))M(z). We also consider a variant of this scheme, which allows us to analyse the number of H-components of a given size in F. We prove that these two models lead to a rich world of limit laws, where we identify the key role played by a new universal law introduced in this article: the three-parameter Mittag-Leffler distribution, which is essentially the product of a beta and a Mittag-Leffler distribution. We also prove (double) phase transitions, additionally involving Boltzmann and mixed Poisson distributions, bringing a unified explanation of the associated thresholds. In all cases we obtain moment convergence and local limit theorems. We end with extensions of the critical composition scheme to a cycle scheme and to the multivariate case, leading to product distributions. Applications are presented for random walks, trees (supertrees of trees, increasingly labelled trees, preferential attachment trees), triangular Pólya urns, and the Chinese restaurant process.

The Annals of Applied ProbabilityVol. 34(5)
University of Applied Sciences Technikum Wien (AT), TU Wien (AT), Center for Discrete Mathematics and Theoretical Computer Science (US), Sorbonne Université (FR), Université Sorbonne Paris Nord (FR), Applied Mathematics (United States) (US), Laboratoire d'Informatique de Paris-Nord (FR)
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Material Science and Thermodynamics
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