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Coloured stochastic vertex models and their spectral theory

By Alexei Borodin and Michael Wheeler


This work is dedicated to $\mathfrak{sl}_{n+1}$-related integrable stochastic vertex models; we call such models coloured. We prove several results about these models, which include the following: (1) We construct the basis of (rational) eigenfunctions of the coloured transfer-matrices as partition functions of our lattice models with certain boundary conditions. Similarly, we construct a dual basis and prove the corresponding orthogonality relations and Plancherel formulae; (2) We derive a variety of combinatorial properties of those eigenfunctions, such as branching rules, exchange relations under Hecke divided-difference operators, (skew) Cauchy identities of different types, and monomial expansions; (3) We show that our eigenfunctions are certain (non-obvious) reductions of the nested Bethe Ansatz eigenfunctions; (4) For models in a quadrant with domain-wall (or half-Bernoulli) boundary conditions, we prove a matching relation that identifies the distribution of the coloured height function at a point with the distribution of the height function along a line in an associated colour-blind ($\mathfrak{sl}_2$-related) stochastic vertex model. Thanks to a variety of known results about asymptotics of height functions of the colour-blind models, this implies a similar variety of limit theorems for the coloured height function of our models; (5) We demonstrate how the coloured-uncoloured match degenerates to the coloured (or multi-species) versions of the ASEP, $q$-PushTASEP, and the $q$-boson model; (6) We show how our eigenfunctions relate to non-symmetric Cherednik-Macdonald theory, and we make use of this connection to prove a probabilistic matching result by applying Cherednik-Dunkl operators to the corresponding non-symmetric Cauchy identity.Comment: 177 page

Topics: Mathematics - Probability, Mathematical Physics, Mathematics - Combinatorics
Year: 2018
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