And/or trees: a local limit point of view

Autor: Nicolas Broutin, Cécile Mailler
Přispěvatelé: Networks, Algorithms and Probabilities (RAP), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Networks, Algorithms and Probabilities (RAP2), Inria de Paris, Department of Mathematical Sciences [Bath], University of Bath [Bath], ANR-14-CE25-0014,GRAAL,GRaphes et Arbres ALéatoires(2014), Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Random Structures and Algorithms
Random Structures and Algorithms, Wiley, In press
Broutin, N & Mailler, C 2018, ' And/or trees : a local limit point of view ', Random Structures and Algorithms, vol. 53, no. 1, pp. 15–58 . https://doi.org/10.1002/rsa.20758
Random Structures and Algorithms, 2018, 53 (1), pp.15--58. ⟨10.1002/rsa.20758⟩
ISSN: 1042-9832
1098-2418
Popis: We present here a new and universal approach for the study of random and/or trees, unifying in one framework many different models, including some novel ones not yet understood in the literature. An and/or tree is a Boolean expression represented in (one of) its tree shapes. Fix an integer k, take a sequence of random (rooted) trees of increasing size, say (tn)n≥1, and label each of these random trees uniformly at random in order to get a random Boolean expression on k variables. We prove that, under rather weak local conditions on the sequence of random trees (tn)n≥1, the distribution induced on Boolean functions by this procedure converges as n tends to infinity. In particular, we characterize two different behaviors of this limit distribution depending on the shape of the local limit of (tn)n≥1 : a degenerate case when the local limit has no leaves; and a non‐degenerate case, which we are able to describe in more details under stronger conditions. In this latter case, we provide a relationship between the probability of a given Boolean function and its complexity. The examples covered by this unified framework include trees that interpolate between models with logarithmic typical distances (such as random binary search trees) and other ones with square root typical distances (such as conditioned Galton–Watson trees).
Databáze: OpenAIRE