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Dynamical stochastic higher spin vertex models

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Abstract

We introduce a new family of integrable stochastic processes, called dynamical stochastic higher spin vertex models, arising from fused representations of Felder’s elliptic quantum group \(E_{\tau , \eta } ({\mathfrak {s}}{\mathfrak {l}}_2)\). These models simultaneously generalize the stochastic higher spin vertex models, studied by Corwin–Petrov and Borodin–Petrov, and are dynamical in the sense of Borodin’s recent stochastic interaction round-a-face models. We provide explicit contour integral identities for observables of these models (when run under specific types of initial data) that characterize the distributions of their currents. Through asymptotic analysis of these identities in a special case, we evaluate the scaling limit for the current of a dynamical version of a discrete-time partial exclusion process. In particular, we show that its scaling exponent is 1 / 4 and that its one-point marginal converges (in a sense of moments) to that of a non-trivial random variable, which we determine explicitly.

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    Amol Aggarwal

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  1. Amol Aggarwal
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Aggarwal, A. Dynamical stochastic higher spin vertex models. Sel. Math. New Ser. 24, 2659–2735 (2018). https://doi.org/10.1007/s00029-018-0411-5

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