Multideterminantal measures

Fuente: arXiv
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1. Verfasser: Kenyon, Richard
Format: Preprint
Veröffentlicht: 2025
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author Kenyon, Richard
author_facet Kenyon, Richard
contents We define multideterminantal probability measures, a family of probability measures on $[k]^n$ where $[k]=\{1,2,\dots,k\}$, generalizing determinantal measures (which correspond to the case $k=2$). We give examples coming from the positive Grassmannian, from the dimer model and from the spanning tree model. We characterize kernels of \emph{pure} $k$-determinantal measures as those arising from $k$-tuples of Grassmannian elements whose maximal minors have certain sign restrictions. As a special case we construct all kernels of pure determinantal measures via a pair of elements of $Gr_{n_1,n}$ having corresponding Plücker coordinates of the same signs. We also define and completely characterize determinantal probability measures on the permutation group $S_n$.
format Preprint
id arxiv_https___arxiv_org_abs_2501_18349
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multideterminantal measures
Kenyon, Richard
Probability
60C05
We define multideterminantal probability measures, a family of probability measures on $[k]^n$ where $[k]=\{1,2,\dots,k\}$, generalizing determinantal measures (which correspond to the case $k=2$). We give examples coming from the positive Grassmannian, from the dimer model and from the spanning tree model. We characterize kernels of \emph{pure} $k$-determinantal measures as those arising from $k$-tuples of Grassmannian elements whose maximal minors have certain sign restrictions. As a special case we construct all kernels of pure determinantal measures via a pair of elements of $Gr_{n_1,n}$ having corresponding Plücker coordinates of the same signs. We also define and completely characterize determinantal probability measures on the permutation group $S_n$.
title Multideterminantal measures
topic Probability
60C05
url https://arxiv.org/abs/2501.18349