Worked solution: Kang–Kelly–Kühn–Methuku–Osthus asymptotic proof via iterative absorption (2021)
To drop the warm-up bound from to , the leftover graph handed to Vizing's theorem needs maximum degree one smaller -- which fails only when almost every vertex has full degree in size- edges, i.e. when the hypergraph looks almost like the complete graph .
So the authors split into two cases: if is not close to , the nibble-and-absorption argument can be tightened to save that one degree; if is close to , they switch to deep -factorisation theorems tailored specifically for near-complete graphs.
Kang, Kelly, Kühn, Methuku and Osthus (2023, Section 2.1, Definition 2.2) formalise "close to " via the notion of a hypergraph: one where almost all vertices have size- degree at least and a noticeable fraction have the maximum possible degree .
When is not , the nibble-and-absorption construction can be refined so that any uncovered "defect" vertices of the matchings fall inside , which lowers the leftover degree bound by one to , and Vizing's theorem then gives directly. When is , the authors instead apply the overfull-subgraph and -factorisation machinery developed by Csaba, Kühn, Lo, Osthus and Treglown to decompose the dense size- core directly.
- hypergraph
- An -vertex linear hypergraph whose size- edges alone make it look almost like : at least vertices have size- degree at least , and at least vertices have the full degree .