Resolving Markov Chains onto Bernoulli Shifts via Positive Polynomials

Download or read book Resolving Markov Chains onto Bernoulli Shifts via Positive Polynomials written by Brian Marcus and published by American Mathematical Soc.. This book was released on 2001 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two parts of this monograph contain two separate but related papers. The longer paper in Part A obtains necessary and sufficient conditions for several types of codings of Markov chains onto Bernoulli shifts. It proceeds by replacing the defining stochastic matrix of each Markov chain by a matrix whose entries are polynomials with positive coefficients in several variables; a Bernoulli shift is represented by a single polynomial with positive coefficients, $p$. This transforms jointly topological and measure-theoretic coding problems into combinatorial ones. In solving the combinatorial problems in Part A, the work states and makes use of facts from Part B concerning $p DEGREESn$ and its coefficients. Part B contains the shorter paper on $p DEGREESn$ and its coefficients, and is independ