Expected number of faces in a random embedding of any graph is at most linear

Jesse Campion Loth, Bojan Mohar

Published 2022-02-15Version 1

A random 2-cell embedding of a given graph $G$ is obtained by choosing a random local rotation around every vertex. We analyze the expected number of faces of such an embedding, which is equivalent to studying its average genus. In 1991, Stahl proved that the expected number of faces in a random embedding of an arbitrary graph of order $n$ is at most $n\log(n)$. While there are many families of graphs whose expected number of faces is $\Theta(n)$, none are known where the expected number would be super-linear. This lead to the conjecture that there is a linear upper bound. In this note we confirm the conjecture by proving that for any $n$-vertex multigraph, the expected number of faces in a random 2-cell embedding is at most $n(1+H_m)$, where $m$ is the maximum edge-multiplicity and $H_m$ denotes the $m$th harmonic number. This bound is best possible.