Parameter Permutation Symmetry in Particle Systems and Random Polymers

Many integrable stochastic particle systems in one space dimension (such as TASEP - totally asymmetric simple exclusion process - and its various deformations, with the notable exception of ASEP) remain integrable when we equip each particle ᵢ with its own jump rate parameter νᵢ. It is a consequence...

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Veröffentlicht in:Symmetry, Integrability and Geometry: Methods and Applications
Datum:2021
1. Verfasser: Petrov, Leonid
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут математики НАН України 2021
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/211167
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Parameter Permutation Symmetry in Particle Systems and Random Polymers. Leonid Petrov. SIGMA 17 (2021), 021, 34 pages

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Petrov, Leonid
author_facet Petrov, Leonid
citation_txt Parameter Permutation Symmetry in Particle Systems and Random Polymers. Leonid Petrov. SIGMA 17 (2021), 021, 34 pages
collection DSpace DC
container_title Symmetry, Integrability and Geometry: Methods and Applications
description Many integrable stochastic particle systems in one space dimension (such as TASEP - totally asymmetric simple exclusion process - and its various deformations, with the notable exception of ASEP) remain integrable when we equip each particle ᵢ with its own jump rate parameter νᵢ. It is a consequence of integrability that the distribution of each particle ₙ() in a system started from the step initial configuration depends on the parameters ⱼ, j ≤ , symmetrically. A transposition ₙ ↔ ₙ₊₁ of the parameters thus affects only the distribution of ₙ(). For q-Hahn TASEP and its degenerations (q-TASEP and directed beta polymer), we realize the transposition ₙ ↔ ₙ₊₁ as an explicit Markov swap operator acting on the single particle ₙ(). For a beta polymer, the swap operator can be interpreted as a simple modification of the lattice on which the polymer is considered. Our main tools are Markov duality and contour integral formulas for joint moments. In particular, our constructions lead to a continuous time Markov process Q⁽ᵗ⁾ preserving the time t distribution of the -TASEP (with step initial configuration, where ∈ ℝ˃₀ is fixed). The dual system is a certain transient modification of the stochastic q-Boson system. We identify asymptotic survival probabilities of this transient process with q-moments of the -TASEP, and use this to show the convergence of the process Q⁽ᵗ⁾ with arbitrary initial data to its stationary distribution. Setting = 0, we recover the results about the usual TASEP established recently in [arXiv:1907.09155] by a different approach based on Gibbs ensembles of interlacing particles in two dimensions.
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spelling Petrov, Leonid
2025-12-25T13:20:22Z
2021
Parameter Permutation Symmetry in Particle Systems and Random Polymers. Leonid Petrov. SIGMA 17 (2021), 021, 34 pages
1815-0659
2020 Mathematics Subject Classification: 82C22; 60C05; 60J27
arXiv:1912.06067
https://nasplib.isofts.kiev.ua/handle/123456789/211167
https://doi.org/10.3842/SIGMA.2021.021
Many integrable stochastic particle systems in one space dimension (such as TASEP - totally asymmetric simple exclusion process - and its various deformations, with the notable exception of ASEP) remain integrable when we equip each particle ᵢ with its own jump rate parameter νᵢ. It is a consequence of integrability that the distribution of each particle ₙ() in a system started from the step initial configuration depends on the parameters ⱼ, j ≤ , symmetrically. A transposition ₙ ↔ ₙ₊₁ of the parameters thus affects only the distribution of ₙ(). For q-Hahn TASEP and its degenerations (q-TASEP and directed beta polymer), we realize the transposition ₙ ↔ ₙ₊₁ as an explicit Markov swap operator acting on the single particle ₙ(). For a beta polymer, the swap operator can be interpreted as a simple modification of the lattice on which the polymer is considered. Our main tools are Markov duality and contour integral formulas for joint moments. In particular, our constructions lead to a continuous time Markov process Q⁽ᵗ⁾ preserving the time t distribution of the -TASEP (with step initial configuration, where ∈ ℝ˃₀ is fixed). The dual system is a certain transient modification of the stochastic q-Boson system. We identify asymptotic survival probabilities of this transient process with q-moments of the -TASEP, and use this to show the convergence of the process Q⁽ᵗ⁾ with arbitrary initial data to its stationary distribution. Setting = 0, we recover the results about the usual TASEP established recently in [arXiv:1907.09155] by a different approach based on Gibbs ensembles of interlacing particles in two dimensions.
I am grateful to Vadim Gorin for helpful discussions, and to Matteo Mucciconi and Axel Saenz for remarks on the first version of the manuscript. I am grateful to the organizers of the workshop, Dimers, Ising Model, and their Interactions, and the support of the Ban International Research Station, where a part of this work was done. The work was partially supported by the NSF grant DMS-1664617.
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Інститут математики НАН України
Symmetry, Integrability and Geometry: Methods and Applications
Parameter Permutation Symmetry in Particle Systems and Random Polymers
Article
published earlier
spellingShingle Parameter Permutation Symmetry in Particle Systems and Random Polymers
Petrov, Leonid
title Parameter Permutation Symmetry in Particle Systems and Random Polymers
title_full Parameter Permutation Symmetry in Particle Systems and Random Polymers
title_fullStr Parameter Permutation Symmetry in Particle Systems and Random Polymers
title_full_unstemmed Parameter Permutation Symmetry in Particle Systems and Random Polymers
title_short Parameter Permutation Symmetry in Particle Systems and Random Polymers
title_sort parameter permutation symmetry in particle systems and random polymers
url https://nasplib.isofts.kiev.ua/handle/123456789/211167
work_keys_str_mv AT petrovleonid parameterpermutationsymmetryinparticlesystemsandrandompolymers