6 research outputs found

    Approximating Vizing's independence number conjecture

    Full text link
    In 1965, Vizing conjectured that the independence ratio of edge-chromatic critical graphs is at most 12\frac{1}{2}. We prove that for every ϵ>0\epsilon > 0 this conjecture is equivalent to its restriction on a specific set of edge-chromatic critical graphs with independence ratio smaller than 12+ϵ\frac{1}{2} + \epsilon.Comment: Revised version: The title is change

    Edge-coloring via fixable subgraphs

    Full text link
    Many graph coloring proofs proceed by showing that a minimal counterexample to the theorem being proved cannot contain certain configurations, and then showing that each graph under consideration contains at least one such configuration; these configurations are called \emph{reducible} for that theorem. (A \emph{configuration} is a subgraph HH, along with specified degrees dG(v)d_G(v) in the original graph GG for each vertex of HH.) We give a general framework for showing that configurations are reducible for edge-coloring. A particular form of reducibility, called \emph{fixability}, can be considered without reference to a containing graph. This has two key benefits: (i) we can now formulate necessary conditions for fixability, and (ii) the problem of fixability is easy for a computer to solve. The necessary condition of \emph{superabundance} is sufficient for multistars and we conjecture that it is sufficient for trees as well, which would generalize the powerful technique of Tashkinov trees. Via computer, we can generate thousands of reducible configurations, but we have short proofs for only a small fraction of these. The computer can write \LaTeX\ code for its proofs, but they are only marginally enlightening and can run thousands of pages long. We give examples of how to use some of these reducible configurations to prove conjectures on edge-coloring for small maximum degree. Our aims in writing this paper are (i) to provide a common context for a variety of reducible configurations for edge-coloring and (ii) to spur development of methods for humans to understand what the computer already knows.Comment: 18 pages, 8 figures; 12-page appendix with 39 figure
    corecore