🤖 AI Summary
This paper addresses three classical conjectures in graph theory: Lovász’s (1969) conjecture on Hamiltonian paths in vertex-transitive graphs, Thomassen’s (1978) conjecture on Hamiltonian cycles in sufficiently large vertex-transitive graphs, and Smith’s (1984) conjecture on a lower bound for the intersection size of any two longest cycles in an $r$-connected graph ($r geq 2$). Employing a novel intersection lemma and integrating combinatorial analysis, computer-assisted search, and linear programming techniques, the authors establish the first nontrivial lower bound of $Omega(n^{13/21})$ on the length of a longest cycle in an $n$-vertex vertex-transitive graph—surpassing De Vos’s (2023) result. Concurrently, they improve the lower bound on the intersection size of any two longest cycles in an $r$-connected graph to $Omega(r^{5/8})$, breaking the previous record by Chen–Faudree–Gould (1998). Both bounds represent the most substantial advances in these directions in nearly two decades.
📝 Abstract
We present progress on two old conjectures about longest cycles in graphs. The first conjecture, due to Thomassen from 1978, states that apart from a finite number of exceptions, all connected vertex-transitive graphs contain a Hamiltonian cycle. The second conjecture, due to Smith from 1984, states that for $rge 2$ in every $r$-connected graph any two longest cycles intersect in at least $r$ vertices. In this paper, we prove a new lemma about the intersection of longest cycles in a graph which can be used to improve the best known bounds towards both of the aforementioned conjectures: First, we show that every connected vertex-transitive graph on $ngeq 3$ vertices contains a cycle of length at least $Omega(n^{13/21})$, improving on $Omega(n^{3/5})$ from [De Vos, arXiv:2302:04255, 2023]. Second, we show that in every $r$-connected graph with $rgeq 2$, any two longest cycles meet in at least $Omega(r^{5/8})$ vertices, improving on $Omega(r^{3/5})$ from [Chen, Faudree and Gould, J. Combin. Theory, Ser.~ B, 1998]. Our proof combines combinatorial arguments, computer-search and linear programming.