WIAS Preprint No. 1072, (2005)

Conditional large deviations for a sequence of words



Authors

  • Birkner, Matthias

2010 Mathematics Subject Classification

  • 60F10 60G10 82D60

Keywords

  • Conditional process level large deviations, quenched free energy

Abstract

Cut an i.i.d. sequence $(X_i)$ of ``letters'' into ``words'' according to an independent renewal process. Then one obtains an i.i.d. sequence of words, and thus the level three large deviation behaviour of this sequence of words is governed by the specific relative entropy. We consider the corresponding problem for the conditional empirical process of words, where one conditions on a typical underlying $(X_i)$. We find that if the tails of the word lengths decay super-exponentially, the large deviations under the conditional distribution are again governed by the specific relative entropy, but the set of attainable limits is restricted. We indicate potential applications of such a conditional LDP to the computation of the quenched free energy for directed polymer models with random disorder.

Appeared in

  • Ann. Probab., 118 (2008) pp. 703--729.

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