Entropy of Hidden Markov Processes and Connections to Dynamical Systems : Papers from the Banff International Research Station Workshop / Entropy of Hidden Markov Processes & Connections to Dynamical Systems Edited by Brian Marcus, Karl Petersen, Tsachy Weissman. - Cambridge : Cambridge University Press, 2011. - 1 online resource (278 pages) : digital, PDF file(s). - London Mathematical Society Lecture Note Series ; no. 385 . - London Mathematical Society Lecture Note Series ; no. 385. .

Title from publisher's bibliographic system (viewed on 16 Oct 2015).

Hidden Markov processes (HMPs) are important objects of study in many areas of pure and applied mathematics, including information theory, probability theory, dynamical systems and statistical physics, with applications in electrical engineering, computer science and molecular biology. This collection of research and survey papers presents important new results and open problems, serving as a unifying gateway for researchers in these areas. Based on talks given at the Banff International Research Station Workshop, 2007, this volume addresses a central problem of the subject: computation of the Shannon entropy rate of an HMP. This is a key quantity in statistical physics and information theory, characterising the fundamental limit on compression and closely related to channel capacity, the limit on reliable communication. Also discussed, from a symbolic dynamics and thermodynamical viewpoint, is the problem of characterizing the mappings between dynamical systems which map Markov measures to Markov (or Gibbs) measures, and which allow for Markov lifts of Markov chains.

9780511819407 (ebook)

QA274.7 / .E58 2011

519.2/33
The Institute of Mathematical Sciences, Chennai, India

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