A q-weighted version of the Robinson-Schensted algorithm
Neil O'Connell, Yuchen Pei

TL;DR
This paper introduces a q-weighted, randomized version of the Robinson-Schensted algorithm that connects to q-Whittaker functions, providing new insights into q-TASEP particle systems and related tableau evolutions.
Contribution
It develops a novel q-insertion algorithm that generalizes Robinson-Schensted, linking it to q-Whittaker functions and q-TASEP, and explores new tableau evolution processes.
Findings
The q-insertion algorithm reduces to classical Robinson-Schensted when q=0.
Distribution of tableaux pairs relates to q-Whittaker functions.
Provides a new framework for analyzing q-TASEP dynamics.
Abstract
We introduce a q-weighted version of the Robinson-Schensted (column insertion) algorithm which is closely connected to q-Whittaker functions (or Macdonald polynomials with t=0) and reduces to the usual Robinson-Schensted algorithm when q=0. The q-insertion algorithm is `randomised', or `quantum', in the sense that when inserting a positive integer into a tableau, the output is a distribution of weights on a particular set of tableaux which includes the output which would have been obtained via the usual column insertion algorithm. There is also a notion of recording tableau in this setting. We show that the distribution of weights of the pair of tableaux obtained when one applies the q-insertion algorithm to a random word or permutation takes a particularly simple form and is closely related to q-Whittaker functions. In the case , the q-insertion algorithm applied to a random…
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