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Uncoupling Measures and Eigenvalues of Stochastic Matrices
Published/Copyright:
June 4, 2010
Abstract
This paper gives bounds for the uncoupling measures of a stochastic matrix P in terms of its eigenvalues. The proofs are combinatorial. We use the Matrix–Tree Theorem which represents principal minors of I – P as sums of weights of directed forests.
Key words and phrases.: Stochastic matrices; nearly completely decomposable Markov chains; eigenvalues; uncoupling measures; directed forests; Matrix–Tree Theorem; numerical methods for linear systems
Received: 1998-06-15
Revised: 1998-09-28
Published Online: 2010-06-04
Published in Print: 1998-December
© Heldermann Verlag
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Keywords for this article
Stochastic matrices;
nearly completely decomposable Markov chains;
eigenvalues;
uncoupling measures;
directed forests;
Matrix–Tree Theorem;
numerical methods for linear systems
Articles in the same Issue
- Flows of Quantum Noise
- A Result Related to the Problem CN of Fremlin
- On Nonstationary Motion of a Compressible Barotropic Viscous Fluid with Boundary Slip Condition
- A New Generalization of Browder Fixed Point Theorem with Applications
- Oscillatory Solutions of a Class of Nonlinear Impulsive Differential Equations of First Order with Retarded Argument
- A New Version of the Multivalued Fatou Lemma
- Higher–Order Necessary Optimality Conditions for a Nonsmooth Extremum Problem
- Uncoupling Measures and Eigenvalues of Stochastic Matrices
- Mixed Coderivatives of Set–Valued Mappings in Variational Analysis