Math 2.0

Proposition

Semi-standard tableaux hook length formula

Statement

The Schur polynomial sλ(x1,…,xk)s_\lambda(x_1,\ldots,x_k) is the generating function of semistandard Young tableaux with shape λ\lambda and entries in {1,…,k}\{1,\ldots,k\}. Specializing this to xi=1x_i = 1 gives the number of semi-standard tableaux, which can be written in terms of hook lengths:

sλ(1,…,1) = ∏(i,j)∈Y(λ)k−i+jhλ(i,j).s_\lambda(1,\ldots,1)\ =\ \prod_{(i,j)\in \mathrm{Y}(\lambda)}\frac{k-i+j}{h_\lambda(i,j)}.

The Young diagram λ\lambda corresponds to an irreducible representation of the special linear group SLk(ℂ)\mathrm{SL}_k(\mathbb C), and the Schur polynomial is also the character of the diagonal matrix diag(x1,…,xk)\mathrm{diag}(x_1,\ldots,x_k) acting on this representation. The above specialization is thus the dimension of the irreducible representation, and the formula is an alternative to the more general Weyl dimension formula.

We may refine this by taking the principal specialization of the Schur function in the variables 1,t,t2 ⁣,t3 ⁣,…1,t,t^2\!,t^3\!, \ldots :

sλ(1,t,t2,…) = tn(λ)∏(i,j)∈Y(λ)(1−thλ(i,j)),s_{\lambda}(1,t,t^2,\ldots) \ =\ \frac{t^{n\left( \lambda\right)}}{\prod_{(i,j)\in Y(\lambda)}(1-t^{h_{\lambda}(i,j)})} ,

where n(λ)=∑i(i−1)λi=∑i(λi′2)n(\lambda) = \sum_i (i{-}1)\lambda_i = \sum_i \tbinom{\lambda_i'}{2} for the conjugate partition λ′\lambda'.

Further reading

  1. Wikipedia, page 41497810, revision 1357150947, Hook length formula, section Semi-standard tableaux hook length formula. adopted
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