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Resolving Markov chains onto Bernoulli shifts via positive polynomials /

Part A. Resolving Markov Chains onto Bernoulli Shifts: Introduction Weighted graphs and polynomial matrices The main results Markov chains and regular isomorphism Necessity of the conditions Totally conforming eigenvectors and the one-variable case Splitting the conforming eigenvector in the one-var...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Marcus, Brian, 1949-
Otros Autores: Tuncel, Selim
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Providence, R.I. : American Mathematical Society, 2001.
Colección:Memoirs of the American Mathematical Society ; no. 710.
Temas:
Acceso en línea:Texto completo

MARC

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520 8 |a Part A. Resolving Markov Chains onto Bernoulli Shifts: Introduction Weighted graphs and polynomial matrices The main results Markov chains and regular isomorphism Necessity of the conditions Totally conforming eigenvectors and the one-variable case Splitting the conforming eigenvector in the one-variable case Totally conforming eigenvectors for the general case Splitting the conforming eigenvector in the general case Bibliography Part B. On Large Powers of Positive Polynomials in Several Variables: Introduction Structure of ${\mathbf{Log}}({\mathbf(p}^{\mathbf n})$ Entropy and equilibrium distributions for ${\mathbf w}\in {\mathbf W}({\mathbf p})$ Equilibrium distributions and coefficients of ${\mathbf(p}^{\mathbf n})$ Proofs of the estimates Bibliography. 
505 0 0 |t A. Resolving Markov chains onto Bernoulli shifts  |t 1. Introduction  |t 2. Weighted graphs and polynomial matrices  |t 3. The main results  |t 4. Markov chains and regular isomorphism  |t 5. Necessity of the conditions  |t 6. Totally conforming eigenvectors and the one-variable case  |t 7. Splitting the conforming eigenvector in the one-variable case  |t 8. Totally conforming eigenvectors for the general case  |t 9. Splitting the conforming eigenvector in the general case  |t B. On large powers of positive polynomials in several variables  |t 1. Introduction  |t 2. Structure of $\operatorname {Log}(p^n)$  |t 3. Entropy and equilibrium distributions for $w\in W(p)$  |t 4. Equilibrium distributions and coefficients of $p^n$  |t 5. Proofs of the estimates. 
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650 0 |a Markov processes. 
650 0 |a Bernoulli shifts. 
650 2 |a Markov Chains 
650 6 |a Processus de Markov. 
650 6 |a Schémas de Bernoulli. 
650 7 |a Bernoulli shifts  |2 fast 
650 7 |a Markov processes  |2 fast 
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