English

Ancestries in random $d$-DAGs

Probability 2026-06-29 v1 Combinatorics

Abstract

We consider a random recursive DAG GnG_n on the vertex set [n][n] where every vertex i2i\geq 2 has out-degree dd, with the targets chosen uniformly at random among the earlier i1i-1 vertices. For this model, we propose a novel way to investigate the descendants of nn (which have recently been studied in a paper by Janson) through what we call ancestry processes. The ancestor process ai(n)a_i(n) of a vertex ii is defined as the number of ancestors of ii in GnG_n, and is closely related to the evolutions of multi-draw P\'olya urns. Results on the descendants can then be obtained via asymptotic results on functionals of the ancestry processes, generally leading to technical integral expressions. This method yields the answer to two questions posed by Janson, the first on the size of the joint descendants of vertices nn and n+1n+1, and the other on the location of the earliest non-descendant. We further prove limit theorems for the ancestry processes ai(n)a_i(n) depending on ii, determine the location of the earliest source node, and provide an alternative proof of a first-moment result contained in Janson's work.

Cite

@article{arxiv.2606.30475,
  title  = {Ancestries in random $d$-DAGs},
  author = {Fabian Burghart},
  journal= {arXiv preprint arXiv:2606.30475},
  year   = {2026}
}

Comments

20 pages. Extended abstract to appear in the proceedings of AofA2026