For a partition of an integer , applying a Young symmetrizer of that shape to the tensor power of each vector space gives a Schur functor. The construction respects linear maps because their tensor powers commute with place permutations. For single rows it gives symmetric powers, and for single columns exterior powers.
A Schur module is the value of a Schur functor on a vector space. Over the complex numbers it is either zero or an irreducible polynomial representation of the general linear group. Its character is the Schur polynomial in the eigenvalues, and its highest weight is padded with zeros.
A column of length greater than antisymmetrizes more than vectors, giving zero. When there are at most rows, place the th basis vector in every tensor position of row . Row symmetrization multiplies by a nonzero factorial product, and column antisymmetrization is nonzero because the vectors in every column are distinct. This proves the precise nonvanishing criterion for a Schur module.
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In mathematics, particularly in the field of representation theory and algebra, a **Schur functor** is an important concept that arises in the context of polynomial functors. Schur functors are used to construct representations of symmetric groups and to study tensors, modules, and various other algebraic structures.