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Symmetry, Integrability and Geometry: Methods and Applications, 2021, Volume 17, 113, 11 pp.
DOI: https://doi.org/10.3842/SIGMA.2021.113
(Mi sigma1795)
 

This article is cited in 4 scientific papers (total in 4 papers)

Orthogonal Polynomial Stochastic Duality Functions for Multi-Species SEP$(2j)$ and Multi-Species IRW

Zhengye Zhou

Department of Mathematics, Texas A&M University, College Station, TX 77840, USA
Full-text PDF (416 kB) Citations (4)
References:
Abstract: We obtain orthogonal polynomial self-duality functions for multi-species version of the symmetric exclusion process (SEP$(2j)$) and the independent random walker process (IRW) on a finite undirected graph. In each process, we have $n>1$ species of particles. In addition, we allow up to $2j$ particles to occupy each site in the multi-species SEP$(2j)$. The duality functions for the multi-species SEP$(2j)$ and the multi-species IRW come from unitary intertwiners between different $*$-representations of the special linear Lie algebra $\mathfrak{sl}_{n+1}$ and the Heisenberg Lie algebra $\mathfrak{h}_n$, respectively. The analysis leads to multivariate Krawtchouk polynomials as orthogonal duality functions for the multi-species SEP$(2j)$ and homogeneous products of Charlier polynomials as orthogonal duality functions for the multi-species IRW.
Keywords: orthogonal duality, multi-species SEP$(2j)$, multi-species IRW.
Received: October 16, 2021; in final form December 24, 2021; Published online December 26, 2021
Bibliographic databases:
Document Type: Article
MSC: 60K35
Language: English
Citation: Zhengye Zhou, “Orthogonal Polynomial Stochastic Duality Functions for Multi-Species SEP$(2j)$ and Multi-Species IRW”, SIGMA, 17 (2021), 113, 11 pp.
Citation in format AMSBIB
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\by Zhengye~Zhou
\paper Orthogonal Polynomial Stochastic Duality Functions for Multi-Species SEP$(2j)$ and Multi-Species IRW
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  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Symmetry, Integrability and Geometry: Methods and Applications
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