A large-deviation theorem for tree-indexed Markov chains

dc.creatorDembo, Amir
dc.creatorMorters, Peter
dc.creatorSheffield, Scott
dc.date2003-06-02
dc.date.accessioned2026-07-07T04:58:31Z
dc.date.available2026-07-07T04:58:31Z
dc.descriptionGiven a finite typed rooted tree $T$ with $n$ vertices, the {\em empirical subtree measure} is the uniform measure on the $n$ typed subtrees of $T$ formed by taking all descendants of a single vertex. We prove a large deviation principle in $n$, with explicit rate function, for the empirical subtree measures of multitype Galton-Watson trees conditioned to have exactly $n$ vertices. In the process, we extend the notions of shift-invariance and specific relative entropy--as typically understood for Markov fields on deterministic graphs such as $\mathbb Z^d$--to Markov fields on random trees. We also develop single-generation empirical measure large deviation principles for a more general class of random trees including trees sampled uniformly from the set of all trees with $n$ vertices.
dc.description23 pages
dc.identifierhttps://arxiv.org/abs/math/0306045
dc.identifierhttp://arxiv.org/abs/math/0306045
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/67667
dc.subjectProbability
dc.subjectMathematical Physics
dc.subject60G20; 80B20; 37A50
dc.titleA large-deviation theorem for tree-indexed Markov chains
dc.typetext

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