On the structure of the fundamental subspaces of acyclic matrices with 0 in the diagonal

Abstract

A matrix is called acyclic if replacing the diagonal entries with 0, and the nonzero diagonal entries with 1, yields the adjacency matrix of a forest. In this paper we show that null space and the rank of a acyclic matrix with 0 in the diagonal is obtained from the null space and the rank of the adjacency matrix of the forest by multipliying by non-singular diagonal matrices. We combine these methods with an algorithm for finding a sparsest basis of the null space of a forest to provide an optimal time algorithm for finding a sparsest basis of the null space of acyclic matrices with 0 in the diagonal.

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