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Journal of Combinatorial Theory Series A
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Journal of Combinatorial Theory Series A
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Isotypic Decompositions of Lattice Determinants

Isotypic decompositions of lattice determinants
Authors: Glenn Tesler;

Isotypic Decompositions of Lattice Determinants

Abstract

\textit{A. M. Garsia} and \textit{M. Haiman} [Proc. Natl. Acad. Sci. USA 90, No. 8, 3607-3610 (1993; Zbl 0831.05062)] have conjectured that the \(q,t\)-Macdonald polynomials have a representation theoretic interpretation in terms of the \(S_n\)-module spanned by the partial derivatives of \(\Delta_{\mu}({\mathbf x}; {\mathbf y}) = \det[x_i^{h_j} y_i^{k_j}]_{i,j=1}^n\) where \(\mu\) is a partition of \(n\). We order the cells in the Young diagram for \(\mu\) from left to right and then from the longest row to the shortest, and the \(j\)th square is in row \(h_j-1\) and column \(k_j-1\). The author proves that the span of the partial derivatives of \(\Delta_{\mu}\) is equal to the span of the translates of \(\Delta_{\mu}\), and then analyzes the decomposition of the translate \(\Delta_{\mu}[{\mathbf x} + {\mathbf x'}; {\mathbf y} + {\mathbf y'}]\) into irreducible isotypic components of the span of the partial derivatives. An algorithm for computing the coefficients and a multi-dimensional analog are also given.

Keywords

lattice determinants, Representations of Lie algebras and Lie superalgebras, algebraic theory (weights), decomposition, polynomials, partial derivatives, isotypic components, Theoretical Computer Science, translate, Computational Theory and Mathematics, Combinatorial aspects of representation theory, Discrete Mathematics and Combinatorics, Young diagram

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average
hybrid