
arXiv: 2002.09432
In this article we present a new characterization of inverse M-matrices, inverse row diagonally dominant M-matrices and inverse row and column diagonally dominant M-matrices, based on the positivity of certain inner products.
9 pages
Markov chains, 15B35 (Primary), 15B51, 60J10, complete maximum principle, Probability (math.PR), G.3, Markov chains (discrete-time Markov processes on discrete state spaces), potentials, FOS: Mathematics, Inverse M-matrix, Complete Maximum Principle, Theory of matrix inversion and generalized inverses, M-matrix, matrix inverse, Mathematics - Probability, Potentials, Stochastic matrices
Markov chains, 15B35 (Primary), 15B51, 60J10, complete maximum principle, Probability (math.PR), G.3, Markov chains (discrete-time Markov processes on discrete state spaces), potentials, FOS: Mathematics, Inverse M-matrix, Complete Maximum Principle, Theory of matrix inversion and generalized inverses, M-matrix, matrix inverse, Mathematics - Probability, Potentials, Stochastic matrices
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
