A rainbow Dirac theorem for loose Hamilton cycles in hypergraphs
Amarja Kathapurkar, Patrick Morris, Guillem Perarnau
TL;DR
This work settles a hypergraph rainbow-Dirac-type question for loose Hamilton cycles: above the j-degree threshold δ_j(G) ≥ (δ_j^k(1) + ε) n^{k−j}, every globally bounded colouring of a large k-graph G contains a rainbow loose Hamilton cycle. The authors deploy absorption and a sophisticated switching framework based on random m-splittings to convert local alterations into a global rainbow structure, controlled via the lopsided Lovász Local Lemma and concentration inequalities. A trio of core lemmas connects (i) the abundance of feasible switchings, (ii) the existence of suitable splittings with viable partitions, and (iii) the construction of many such splittings via random sampling, with an absorption-step ensuring coherence of the final rainbow cycle. The results support the meta-conjecture that Dirac-type extremal thresholds exhibit rainbow robustness under bounded colourings in hypergraphs and point toward extensions to tight cycles and linear F-factors, albeit with notable obstacles in non-loose settings.
Abstract
A meta-conjecture of Coulson, Keevash, Perarnau and Yepremyan states that above the extremal threshold for a given spanning structure in a (hyper-)graph, one can find a rainbow version of that spanning structure in any suitably bounded colouring of the host (hyper-)graph. We solve one of the most pertinent outstanding cases of this conjecture, by showing that for any $1\leq j\leq k-1$, if $G$ is a $k$-uniform hypergraph above the $j$-degree threshold for a loose Hamilton cycle, then any globally bounded colouring of $G$ contains a rainbow loose Hamilton cycle.
