Extremal problems on the Hamiltonicity of claw-free graphs

TL;DR

This paper characterizes the maximum edge count in 2-connected claw-free non-Hamiltonian graphs, extending Erdős' classical Hamiltonicity result, and provides spectral conditions for Hamiltonicity in such graphs.

Contribution

It offers a complete characterization of 2-connected claw-free non-Hamiltonian graphs with maximum edges and introduces spectral conditions for Hamiltonicity in claw-free graphs.

Findings

Characterization of extremal 2-connected claw-free non-Hamiltonian graphs.

Spectral conditions ensuring Hamiltonicity in claw-free graphs.

Extension of Erdős' theorem to claw-free graph class.

Abstract

In 1962, Erd\H{o}s proved that if a graph $G$ with $n$ vertices satisfies $$ e(G)>\max\left\{\binom{n-k}{2}+k^2,\binom{\lceil(n+1)/2\rceil}{2}+\left\lfloor \frac{n-1}{2}\right\rfloor^2\right\}, $$ where the minimum degree $\delta(G)\geq k$ and $1\leq k\leq(n-1)/2$, then it is Hamiltonian. For $n \geq 2k+1$, let $E^k_n=K_{k}\vee (kK_1+K_{n-2k})$, where "$\vee$" is the "join" operation. One can observe $e(E^k_n)=\binom{n-k}{2}+k^2$ and $E^k_n$ is not Hamiltonian. As $E^k_n$ contains induced claws for $k\geq 2$, a natural question is to characterize all 2-connected claw-free non-Hamiltonian graphs with the largest possible number of edges. We answer this question completely by proving a claw-free analog of Erd\H{o}s' theorem. Moreover, as byproducts, we establish several tight spectral conditions for a 2-connected claw-free graph to be Hamiltonian. Similar results for the traceability of connected claw-free graphs are also obtained. Our tools include Ryj\'a\v{c}ek's claw-free closure theory and Brousek's characterization of minimal 2-connected claw-free non-Hamiltonian graphs.