A symmetry property for q-weighted Robinson-Schensted algorithms and other branching insertion algorithms
Yuchen Pei

TL;DR
This paper proves a symmetry property for a q-weighted Robinson-Schensted algorithm, extending the classical symmetry to a broader class of branching insertion algorithms using growth graph techniques.
Contribution
It establishes a symmetry property for the q-weighted Robinson-Schensted algorithm and generalizes the growth diagram approach to other branching insertion algorithms.
Findings
Proves symmetry property for q-weighted Robinson-Schensted algorithm
Extends growth diagram approach to a wider class of algorithms
Applies to recent q-weighted Robinson-Schensted variants
Abstract
In O'Connell-Pei(2013) a q-weighted version of the Robinson-Schensted algorithm was introduced. In this paper we show that this algorithm has a symmetry property analogous to the well known symmetry property of the normal Robinson-Schensted algorithm. The proof uses a generalisation of the growth diagram approach introduced by Fomin(1979,1986,1994,1995). This approach, which uses "growth graphs", can also be applied to a wider class of insertion algorithms which have a branching structure, including some of the other q-weighted versions of the Robinson-Schensted algorithm which have recently been introduced by Borodin-Petrov(2013).
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Stochastic processes and statistical mechanics
