Growing conditioned BGW trees with log-concave offspring distributions
William Fleurat
TL;DR
This work establishes that BGW trees conditioned on size with log-concave offspring laws admit monotone increasing couplings when grown as a Markov process that adds a right-leaning leaf at each step. It extends the construction to offspring distributions supported on arithmetic progressions by adding right-leaning bouquets of leaves and proves analogous results for simply generated trees, connecting to random compositions through admissibility and Toeplitz TP2 properties. The authors derive elementary, self-contained proofs and apply the framework to an inhomogeneous model of random subtrees on the Ulam–Harris tree, which corresponds to an increasing root-cluster size in an inhomogeneous Bernoulli percolation model. This generalizes Luczak and Winkler’s uniform-subtree couplings and clarifies the role of log-concavity in enabling stochastic monotonicity, while also outlining open questions regarding the necessity of log-concavity beyond certain supports.
Abstract
We show that given a log-concave offspring distribution, the corresponding sequence of Bienaymé-Galton-Watson trees conditioned to have $n\geq 1$ vertices admits a realization as a Markov process $(T_n)_{n\geq1}$ which adds a new "right-leaning" leaf at each step. This applies for instance to offspring distributions which are Poisson, binomial, geometric, or any convolution of those. By a negative result of Janson, the log-concavity condition is optimal in the restricted case of offspring distributions supported in $\{0,1,2\}$. We then prove a generalization to the case of an offspring distribution supported on an arithmetic progression, if we assume log-concavity along that progression. As an application, we deduce the existence of increasing couplings in an inhomogeneous model of random subtrees of the Ulam--Harris tree. This is equivalent to the statement that, in a corresponding inhomogeneous Bernouilli percolation model on a regular tree, the root cluster is stochastically increasing in its size. These results generalize a construction of Luczak and Winkler which applies to uniformly sampled subtrees with $n$ vertices of the infinite complete $d$-ary trees. Our proofs are elementary and we tried to make them as self-contained as possible.
