We will consider the problem of building sequences of random trees "à la Luczak-Winkler", that is by adding vertices one at a time, in such a way that at each step, the tree has the correct distribution.
I will present the following result: given a log-concave offspring distribution, the corresponding sequence of Bienaymé–Galton–Watson trees conditioned to have n vertices admits a realization as a Markov process (T_n, n≥1) which adds a new "right-leaning" leaf at each step.
If time permits, I will also discuss an application to increasing couplings in an inhomogeneous model of random subtrees of the Ulam–Harris tree.
This generalizes the original construction of Luczak and Winkler (2004), which in terms of Bienaymé–Galton–Watson trees covers the cases of binomial, Poisson and geometric offspring distributions.