A Basis for the GL_n Tensor Product Algebra
Roger E. Howe, Eng Chye Tan, Jeb F. Willenbring

TL;DR
This paper provides an explicit basis for the $GL_n$ tensor product algebra, connecting representation theory, combinatorics, and invariant theory, and offering a new perspective on Littlewood-Richardson coefficients.
Contribution
It introduces a new explicit basis for the $GL_n$ tensor product algebra, linking combinatorial Littlewood-Richardson tableaux with classical invariant theory.
Findings
Explicit basis for the $GL_n$ tensor product algebra
Connection between basis and Littlewood-Richardson tableaux
Recasting of Littlewood-Richardson rule in invariant theory context
Abstract
This paper focuses on the tensor product algebra, which encapsulates the decomposition of tensor products of arbitrary finite dimensional irreducible representations of . We will describe an explicit basis for this algebra. This construction relates directly with the combinatorial description of Littlewood-Richardson coefficients in terms of Littlewood-Richardson tableaux. Philosophically, one may view this construction as a recasting of the Littlewood-Richardson rule in the context of classical invariant theory.
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Taxonomy
TopicsAlgebraic structures and combinatorial models · Advanced Algebra and Geometry · Advanced Topics in Algebra
