Central Approximation in Statistical Physics and Information Theory

Computer Science – Information Theory

Scientific paper

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5 pages, submitted to ISIT2012

Scientific paper

In statistical physics and information theory, although the exponent of the
partition function is often of our primary interest, there are cases where one
needs more detailed information. In this paper, we present a general framework
to study more precise asymptotic behaviors of the partition function, using the
central approximation in conjunction with the method of types.

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