Inverse M-Matrices and Ultrametric Matrices, 2014 Lecture Notes in Mathematics Series, Vol. 2118
Auteurs : Dellacherie Claude, Martinez Servet, San Martin Jaime
The study of M-matrices, their inverses and discrete potential theory is now a well-established part of linear algebra and the theory of Markov chains. The main focus of this monograph is the so-called inverse M-matrix problem, which asks for a characterization of nonnegative matrices whose inverses are M-matrices. We present an answer in terms of discrete potential theory based on the Choquet-Deny Theorem. A distinguished subclass of inverse M-matrices is ultrametric matrices, which are important in applications such as taxonomy. Ultrametricity is revealed to be a relevant concept in linear algebra and discrete potential theory because of its relation with trees in graph theory and mean expected value matrices in probability theory. Remarkable properties of Hadamard functions and products for the class of inverse M-matrices are developed and probabilistic insights are provided throughout the monograph.
Provides a unified algebraic and probabilistic approach
Describes graphs and algorithms for inverse M-matrices
Gives examples and fields of applications of M-matrices
Date de parution : 12-2014
Ouvrage de 236 p.
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
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