Alternating sign matrix

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In mathematics, an alternating sign matrix is a square matrix of 0s, 1s, and −1s such that the sum of each row and column is 1 and the nonzero entries in each row and column alternate in sign. These matrices arise naturally when using Dodgson condensation to compute a determinant. They are also closely related to the square ice model from statistical mechanics. They were first defined by William Mills, David Robbins, and Howard Rumsey in the former context.

For example, the permutation matrices are alternating sign matrices, as is


\begin{bmatrix} 
0&0&1&0\\
1&0&0&0\\
0&1&-1&1\\
0&0&1&0
\end{bmatrix}.

The alternating sign matrix conjecture states that the number of n\times n alternating sign matrices is


\frac{1! 4! 7! \cdots (3n-2)!}{n! (n+1)! \cdots (2n-1)!}.

This conjecture was first proved by Doron Zeilberger in 1992. In 1995, Greg Kuperberg gave a short proof that uses the Yang-Baxter equation, and a determinant formula due to Anatoli Izergin and Vladimir Korepin, applied to the square ice interpretation.

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