A fast and stable test to check if a weakly diagonally dominant matrix is a nonsingular M-matrix
For researchers and practitioners working with M-matrices, this provides a faster and stable verification method, though the improvement is incremental.
The paper presents a test for determining if a weakly diagonally dominant matrix is a nonsingular M-matrix, with runtime linear in the order for sparse matrices and quadratic for dense matrices, improving upon a previous cubic test.
We present a test for determining if a substochastic matrix is convergent. By establishing a duality between weakly chained diagonally dominant (w.c.d.d.) L-matrices and convergent substochastic matrices, we show that this test can be trivially extended to determine whether a weakly diagonally dominant (w.d.d.) matrix is a nonsingular M-matrix. The test's runtime is linear in the order of the input matrix if it is sparse and quadratic if it is dense. This is a partial strengthening of the cubic test in [J. M. Peña., A stable test to check if a matrix is a nonsingular M-matrix, Math. Comp., 247, 1385-1392, 2004]. As a by-product of our analysis, we prove that a nonsingular w.d.d. M-matrix is a w.c.d.d. L-matrix, a fact whose converse has been known since at least 1964. We point out that this strengthens some recent results on M-matrices in the literature.