English

Asymptotic Distribution of Parameters in Trivalent Maps and Linear Lambda Terms

Combinatorics 2021-06-16 v1 Logic in Computer Science

Abstract

Structural properties of large random maps and lambda-terms may be gleaned by studying the limit distributions of various parameters of interest. In our work we focus on restricted classes of maps and their counterparts in the lambda-calculus, building on recent bijective connections between these two domains. In such cases, parameters in maps naturally correspond to parameters in lambda-terms and vice versa. By an interplay between lambda-terms and maps, we obtain various combinatorial specifications which allow us to access the distributions of pairs of related parameters such as: the number of bridges in rooted trivalent maps and of subterms in closed linear lambda-terms, the number of vertices of degree 1 in (1,3)-valent maps and of free variables in open linear lambda-terms etc. To analyse asymptotically these distributions, we introduce appropriate tools: a moment-pumping schema for differential equations and a composition schema inspired by Bender's theorem.

Keywords

Cite

@article{arxiv.2106.08291,
  title  = {Asymptotic Distribution of Parameters in Trivalent Maps and Linear Lambda Terms},
  author = {Olivier Bodini and Alexandros Singh and Noam Zeilberger},
  journal= {arXiv preprint arXiv:2106.08291},
  year   = {2021}
}

Comments

40 pages, 16 figures

R2 v1 2026-06-24T03:13:58.723Z