Parameter Permutation Symmetry in Particle Systems and Random Polymers

• Published in: Symmetry, Integrability and Geometry: Methods and Applications
• Date: 2021
• Main Author: Petrov, Leonid
• Format: Article
• Language: English
• Published: Інститут математики НАН України 2021
• Online Access: https://nasplib.isofts.kiev.ua/handle/123456789/211167
• Journal Title: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Cite this: Parameter Permutation Symmetry in Particle Systems and Random Polymers. Leonid Petrov. SIGMA 17 (2021), 021, 34 pages

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.