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SIGMA 22 (2026), 095, 52 pages arXiv:2407.21015
https://doi.org/10.3842/SIGMA.2026.095
Comparative Analyses of the Type D ASEP: Stochastic Fusion and Crystal Bases
Erik Brodsky a, Eva Engel b, Connor Panish c and Lillian Stolberg d
a) Department of Mathematics, Cornell University, Ithaca, NY, USA
b) Department of Mathematics, Princeton University, Princeton, NJ, USA
c) Department of Statistics, Cornell University, Ithaca, NY, USA
d) Department of Mathematics, University of Michigan, Ann Arbor, MI, USA
Received February 11, 2025, in final form September 02, 2026; Published online October 02, 2026
Abstract
The Type D asymmetric simple exclusion process (ASEP), a particle system involving two classes of particles, was studied from both probabilistic and algebraic perspectives by Kuan et al. (2022). From a probabilistic perspective, we perform stochastic fusion on the Type D ASEP introduced by Kuan (2019) and analyze the outcome on the generator matrix, limits of drift speed, stationary distributions, and Markov self-duality. From an algebraic perspective, we construct a fused Type D ASEP system from a Casimir element of $\mathcal{U}_q(\mathfrak{so}_6)$, using crystal bases to analyze and manipulate various representations of $\mathcal{U}_q(\mathfrak{so}_6)$. We know that the same generators for the normal ASEP are produced by stochastic fusion and by a suitable ground state transformation on a central element of $\mathcal{U}_q(\mathfrak{sl}_2)$ in a symmetric tensor product representation. However, in the case of the Type D ASEP, we find that the probabilistic and algebraic generator matrices are not the same and thus represent different processes. We conclude that the relationship between stochastic fusion and a ground state transformation (specifically, what we term the Type A ground state transformation) established by Kuan (2019) does not generalize to all finite-dimensional simple Lie algebras.
Key words: asymmetric simple exclusion process; quantum groups; stochastic fusion; Markov self-duality; crystal bases; Young tableaux.
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