2014
DOI: 10.1214/ejp.v19-2747
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Local limits of conditioned Galton-Watson trees: the infinite spine case

Abstract: We give a necessary and sufficient condition for the convergence in distribution of a conditioned Galton-Watson tree to Kesten's tree. This yields elementary proofs of Kesten's result as well as other known results on local limits of conditioned Galton-Watson trees. We then apply this condition to get new results in the critical case (with a general offspring distribution) and in the sub-critical cases (with a generic offspring distribution) on the limit in distribution of a Galton-Watson tree conditioned on h… Show more

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Cited by 45 publications
(154 citation statements)
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“…In the present paper, we condition GW trees to have large maximal out-degree and use the framework in [1,2] to study local limits of large conditioned trees. We say that a probability distribution p = (p 0 , p 1 , p 2 , .…”
Section: Xin Hementioning
confidence: 99%
See 4 more Smart Citations
“…In the present paper, we condition GW trees to have large maximal out-degree and use the framework in [1,2] to study local limits of large conditioned trees. We say that a probability distribution p = (p 0 , p 1 , p 2 , .…”
Section: Xin Hementioning
confidence: 99%
“…On the technical level, our proofs are extremely short and elementary, thanks in particular to the convenient framework in [1,2]. Nevertheless, we still would like to stress the following points: First, our new conditioning is the most natural way to get condensation tree in the limit, and this seems to be an intrinsic reason behind our short and elementary proofs; Second, potentially our new conditioning and some possible variants might be useful for studying condensation phenomenon in other settings; Finally, conditionings of GW trees seem more complete now, with conditioning on large height as one extreme case, our new conditioning as the opposite extreme case, and other conditionings in between.…”
Section: Xin Hementioning
confidence: 99%
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