On the maximum entropy principle for uniformly ergodic Markov chains

DOI10.1016/0304-4149(89)90063-XzbMath0691.60023MaRDI QIDQ582683

Uwe Schmock, Erwin Bolthausen

Publication date: 1989

Published in: Stochastic Processes and their Applications (Search for Journal in Brave)

zbMATH Keywords

free energymixtures of Markov chainslarge deviation techniques

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Discrete-time Markov processes on general state spaces (60J05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Large deviations (60F10)

Related Items

Convergence of path measures arising from a mean field or polaron type interaction ⋮ On the maximum entropy principle for a class of stochastic processes ⋮ Large and Moderate Deviations of Random Upper Semicontinuous Functions ⋮ Some problems associated with Donsker-Varadhan processes ⋮ Large deviations and related problems for absorbing Markov chains ⋮ When do cylinder \(\sigma \)-algebras equal Borel \(\sigma \)-algebras in Polish spaces? ⋮ A limit theorem for one-dimensional Gibbs measures under conditions on the empirical field ⋮ Limiting process of absorbing Markov chains ⋮ Maximum entropy principles for disordered spins ⋮ Exponential approximations in completely regular topological spaces and extensions of Sanov's theorem

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