Hamiltonian increasing paths in random edge orderings

Abstract

If the edges of the complete graph $K_n$ are totally ordered, a simple path whose edges are in ascending order is called increasing. The worst-case length of the longest increasing path has remained an open problem for several decades, with asymptotic bounds between $\sqrt{n}$ (Graham and Kleitman, 1973) and $n/2$ (Calderbank, Chung, and Sturtevant, 1984). We consider the average case, when the ordering is chosen uniformly at random. We discover the surprising result that in the random setting, an increasing path of the maximum possible length of $n-1$ exists with probability at least about $1/e$. We also prove that with probability $1-o(1)$, there is an increasing path of length at least $0.85n$, suggesting that this Hamiltonian (or near-Hamiltonian) phenomenon may hold asymptotically almost surely.