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Reducible Matrix


A square n×n matrix A=a_(ij) is called reducible if the indices 1, 2, ..., n can be divided into two disjoint nonempty sets i_1, i_2, ..., i_mu and j_1, j_2, ..., j_nu (with mu+nu=n) such that

 a_(i_alphaj_beta)=0

for alpha=1, 2, ..., mu and beta=1, 2, ..., nu.

A matrix is reducible if and only if it can be placed into block upper-triangular form by simultaneous row/column permutations. In addition, a matrix is reducible if and only if its associated digraph is not strongly connected.

A square matrix that is not reducible is said to be irreducible.


See also

Square Matrix

Portions of this entry contributed by Gordon Royle

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References

Gradshteyn, I. S. and Ryzhik, I. M. Tables of Integrals, Series, and Products, 6th ed. San Diego, CA: Academic Press, p. 1103, 2000.

Referenced on Wolfram|Alpha

Reducible Matrix

Cite this as:

Royle, Gordon and Weisstein, Eric W. "Reducible Matrix." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/ReducibleMatrix.html

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