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Resolving Markov chains onto Bernoulli shifts via positive polynomials / [electronic resource] Brian Marcus, Selim Tuncel.

By: Contributor(s): Material type: TextTextSeries: Memoirs of the American Mathematical Society ; v. 710Publication details: Providence, R.I. : American Mathematical Society, 2001.Description: 1 online resource (ix, 98 p. : ill.)ISBN:
  • 9781470403034 (online)
Subject(s): Additional physical formats: Resolving Markov chains onto Bernoulli shifts via positive polynomials /DDC classification:
  • 510 s 519.2/33 21
LOC classification:
  • QA3 .A57 no. 710 QA274.7
Online resources:
Contents:
A. Resolving Markov chains onto Bernoulli shifts 1. Introduction 2. Weighted graphs and polynomial matrices 3. The main results 4. Markov chains and regular isomorphism 5. Necessity of the conditions 6. Totally conforming eigenvectors and the one-variable case 7. Splitting the conforming eigenvector in the one-variable case 8. Totally conforming eigenvectors for the general case 9. Splitting the conforming eigenvector in the general case B. On large powers of positive polynomials in several variables 1. Introduction 2. Structure of $\operatorname {Log}(p^n)$ 3. Entropy and equilibrium distributions for $w\in W(p)$ 4. Equilibrium distributions and coefficients of $p^n$ 5. Proofs of the estimates
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK13163

"Volume 150, number 710 (first of 5 numbers)."

Includes bibliographical references.

A. Resolving Markov chains onto Bernoulli shifts 1. Introduction 2. Weighted graphs and polynomial matrices 3. The main results 4. Markov chains and regular isomorphism 5. Necessity of the conditions 6. Totally conforming eigenvectors and the one-variable case 7. Splitting the conforming eigenvector in the one-variable case 8. Totally conforming eigenvectors for the general case 9. Splitting the conforming eigenvector in the general case B. On large powers of positive polynomials in several variables 1. Introduction 2. Structure of $\operatorname {Log}(p^n)$ 3. Entropy and equilibrium distributions for $w\in W(p)$ 4. Equilibrium distributions and coefficients of $p^n$ 5. Proofs of the estimates

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Electronic reproduction. Providence, Rhode Island : American Mathematical Society. 2012

Mode of access : World Wide Web

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The Institute of Mathematical Sciences, Chennai, India