The Symplectic Schur Process

Fuente: arXiv
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Auteurs principaux: Cuenca, Cesar, Mucciconi, Matteo
Format: Preprint
Publié: 2024
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author Cuenca, Cesar
Mucciconi, Matteo
author_facet Cuenca, Cesar
Mucciconi, Matteo
contents We define a measure on tuples of partitions, called the symplectic Schur process, that should be regarded as the right analogue of the Schur process of Okounkov-Reshetikhin for the Cartan type C. The weights of our measure include factors that are universal symplectic characters, as well as a novel family of "Down-Up Schur functions" that we define and for which we prove new identities of Cauchy-Littlewood-type. Our main structural result is that the point process corresponding to the symplectic Schur process is determinantal and we find an explicit correlation kernel. We also present dynamics that preserve the family of symplectic Schur processes and explore an alternative sampling scheme, based on the Berele insertion algorithm, in a special case. Finally, we study the asymptotics of the Berele insertion process and find explicit formulas for the limit shape and fluctuations near the bulk and the edge. One of the limit regimes leads to a new kernel that resembles the symmetric Pearcey kernel.
format Preprint
id arxiv_https___arxiv_org_abs_2407_02415
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Symplectic Schur Process
Cuenca, Cesar
Mucciconi, Matteo
Mathematical Physics
Combinatorics
Probability
05E05, 60K35, 82B23, 05A19
We define a measure on tuples of partitions, called the symplectic Schur process, that should be regarded as the right analogue of the Schur process of Okounkov-Reshetikhin for the Cartan type C. The weights of our measure include factors that are universal symplectic characters, as well as a novel family of "Down-Up Schur functions" that we define and for which we prove new identities of Cauchy-Littlewood-type. Our main structural result is that the point process corresponding to the symplectic Schur process is determinantal and we find an explicit correlation kernel. We also present dynamics that preserve the family of symplectic Schur processes and explore an alternative sampling scheme, based on the Berele insertion algorithm, in a special case. Finally, we study the asymptotics of the Berele insertion process and find explicit formulas for the limit shape and fluctuations near the bulk and the edge. One of the limit regimes leads to a new kernel that resembles the symmetric Pearcey kernel.
title The Symplectic Schur Process
topic Mathematical Physics
Combinatorics
Probability
05E05, 60K35, 82B23, 05A19
url https://arxiv.org/abs/2407.02415