Increasing subsequences, matrix loci and Viennot shadows
Forum of Mathematics, Sigma, Tome 12 (2024)
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Let ${\mathbf {x}}_{n \times n}$ be an $n \times n$ matrix of variables, and let ${\mathbb {F}}[{\mathbf {x}}_{n \times n}]$ be the polynomial ring in these variables over a field ${\mathbb {F}}$. We study the ideal $I_n \subseteq {\mathbb {F}}[{\mathbf {x}}_{n \times n}]$ generated by all row and column variable sums and all products of two variables drawn from the same row or column. We show that the quotient ${\mathbb {F}}[{\mathbf {x}}_{n \times n}]/I_n$ admits a standard monomial basis determined by Viennot’s shadow line avatar of the Schensted correspondence. As a corollary, the Hilbert series of ${\mathbb {F}}[{\mathbf {x}}_{n \times n}]/I_n$ is the generating function of permutations in ${\mathfrak {S}}_n$ by the length of their longest increasing subsequence. Along the way, we describe a ‘shadow junta’ basis of the vector space of k-local permutation statistics. We also calculate the structure of ${\mathbb {F}}[{\mathbf {x}}_{n \times n}]/I_n$ as a graded ${\mathfrak {S}}_n \times {\mathfrak {S}}_n$-module.
@article{10_1017_fms_2024_75,
author = {Brendon Rhoades},
title = {Increasing subsequences, matrix loci and {Viennot} shadows},
journal = {Forum of Mathematics, Sigma},
publisher = {mathdoc},
volume = {12},
year = {2024},
doi = {10.1017/fms.2024.75},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.1017/fms.2024.75/}
}
Brendon Rhoades. Increasing subsequences, matrix loci and Viennot shadows. Forum of Mathematics, Sigma, Tome 12 (2024). doi: 10.1017/fms.2024.75
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