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 $0\le q<1$, the q-insertion algorithm applied to a random word also provides a new framework for solving the q-TASEP interacting particle system introduced (in the language of q-bosons) by Sasamoto and Wadati (1998) and yields formulas which are equivalent to some of those recently obtained by Borodin and Corwin (2011) via a stochastic evolution on discrete Gelfand-Tsetlin patterns (or semistandard tableaux) which is coupled to the q-TASEP process. We show that the sequence of P-tableaux obtained when one applies the q-insertion algorithm to a random word defines another, quite different, evolution on semistandard tableaux which is also coupled to the q-TASEP process.

Highlights

  • We introduce a q-weighted version of the Robinson-Schensted algorithm which is closely connected to q-Whittaker functions and reduces to the usual Robinson-Schensted algorithm when q = 0

  • The 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 tableau which includes the output which would have been obtained via the usual column insertion algorithm

  • We show that the distribution of weights of the pair of tableaux obtained when one applies the insertion algorithm to a random word or permutation takes a simple form and is closely related to qWhittaker functions

Read more

Summary

Introduction

In the above scaling limit, the q-insertion algorithm we introduce in this paper should converge in an appropriate sense to the continuous-time version of the geometric RSK mapping considered in [30], which is deterministic, and the main result of this paper should rescale to the main result of [30]. This can be seen by comparing with the corresponding scaling limits considered in [7, 19].

The Robinson-Schensted algorithm
The q-weighted version
Main result
Permutations
Proofs
Findings
Proof of Theorem 2

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.