A sprouting tree model for random boolean functions

Brigitte Chauvin; Danièle Gardy; Cécile Mailler

doi:10.1002/rsa.20567

A sprouting tree model for random boolean functions

Brigitte Chauvin, Danièle Gardy, Cécile Mailler

Research output: Contribution to journal › Article › peer-review

4 Citations (SciVal)

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Abstract

We define a new probability distribution for Boolean functions of k variables. Consider the random Binary Search Tree of size n, and label its internal nodes by connectives and its leaves by variables or their negations. This random process defines a random Boolean expression which represents a random Boolean function. Finally, let n tend to infinity: the asymptotic distribution on Boolean functions exists; we call it the sprouting tree distribution. We study this model and compare it with two previously-known distributions induced by two other random trees: the Catalan tree and the Galton-Watson tree.

Original language	English
Pages (from-to)	635-662
Number of pages	28
Journal	Random Structures and Algorithms
Volume	47
Issue number	4
Early online date	31 Jul 2014
DOIs	https://doi.org/10.1002/rsa.20567
Publication status	Published - 1 Dec 2015

Keywords

Binary search tree model of growth
Binary trees
Boolean expressions
Boolean formulas
Boolean functions
Yule tree

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10.1002/rsa.20567

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This is the pre-peer reviewed version of the following article:Chauvin, B, Gardy, D & Mailler, C 2015, 'A sprouting tree model for random boolean functions' Random Structures and Algorithms, vol 47, no. 4, pp. 635-662., , which has been published in final form at http://dx.doi.org/10.1002/rsa.20567. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
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Cite this

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A sprouting tree model for random boolean functions

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