Open jaapspies opened 17 years ago
Description changed:
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@@ -7,11 +7,11 @@
Now define a list of equations: (how do I format them properly here?)
-\sum_{i=1}^{i=m} x_{ij} = 1 for j = 1, ..., n
+\sum_{i=1}<sup>{i=m}</sup> x_{ij} = 1 for j = 1, ..., n
-\sum_{j=1}^{j=n} x_{ij} = 1 for i = 1, ..., m
+\sum_{j=1}<sup>{j=n}</sup> x_{ij} = 1 for i = 1, ..., m
-x_{ij}^2 = x_{ij} for i = 1, ..., m and j = 1, ..., n
+x_{ij}<sup>2</sup> = x_{ij} for i = 1, ..., m and j = 1, ..., n
It is easy to prove that the number of solutions to this equations is
calculate a Groebner basis
over which field?
Let A = (a{ij}) be an m x n (m <= n) (0,1)-matrix. We define a matrix X = (x{ij}) with independent indeterminates x{ij}: x{ij} = 0 iff a_{ij} = 0.
So x{ij} only exists iff a{ij} = 1.
Now define a list of equations: (how do I format them properly here?)
\sum{i=1}{i=m} x{ij} = 1 for j = 1, ..., n
\sum{j=1}{j=n} x{ij} = 1 for i = 1, ..., m
x{ij}2 = x{ij} for i = 1, ..., m and j = 1, ..., n
It is easy to prove that the number of solutions to this equations is equal to the permanent of A.
Based on a paper from Bernasconi, et al.: Computing Groebner Bases in the Boolean Setting with Applications to Counting (1997) (which restricts itself to square matrices and a number of polynomials less than 255), we can do the following:
1) calculate a Groebner basis
2) compute the number of solutions (the permanent)
If this could be done fast, it beats Ryser's algorithm (See the article above).
Jaap
Component: algebraic geometry
Issue created by migration from https://trac.sagemath.org/ticket/933