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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...
| Call Number: | Libro Electrónico |
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| Main Author: | |
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Providence, R.I. :
American Mathematical Society,
2001.
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| Series: | Memoirs of the American Mathematical Society ;
no. 710. |
| Subjects: | |
| Online Access: | Texto completo |
Table of 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.