Quenched large deviation principle for words in a letter sequence
Matthias Birkner, Andreas Greven, Frank den Hollander

TL;DR
This paper establishes a quenched large deviation principle for words formed from an i.i.d. letter sequence, focusing on algebraic tail renewal processes, and provides new representations of the rate function with corrected proofs.
Contribution
It extends the large deviation analysis to the quenched setting for algebraic tail renewal processes and corrects previous proof flaws, offering new insights into the rate function structure.
Findings
Rate function combines annealed and letter-specific entropy terms.
For exponential tail renewal processes, the rate function simplifies significantly.
New representations of the rate function are derived, enhancing understanding.
Abstract
When we cut an i.i.d. sequence of letters into words according to an independent renewal process, we obtain an i.i.d. sequence of words. In the \emph{annealed} large deviation principle (LDP) for the empirical process of words, the rate function is the specific relative entropy of the observed law of words w.r.t. the reference law of words. In the present paper we consider the \emph{quenched} LDP, i.e., we condition on a typical letter sequence. We focus on the case where the renewal process has an \emph{algebraic} tail. The rate function turns out to be a sum of two terms, one being the annealed rate function, the other being proportional to the specific relative entropy of the observed law of letters w.r.t. the reference law of letters, with the former being obtained by concatenating the words and randomising the location of the origin. The proportionality constant equals the tail…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Statistical Mechanics and Entropy
