<p>Given a multigraph <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(G=(V,E)\)</EquationSource> </InlineEquation>, the edge-coloring problem (ECP) is to color the edges of <i>G</i> with the minimum number of colors so that no two adjacent edges have the same color. This problem can be naturally formulated as an integer program, and its linear programming relaxation is referred to as the fractional edge-coloring problem (FECP). The optimal value of ECP (resp. FECP) is called the chromatic index (resp. fractional chromatic index) of <i>G</i>, denoted by <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\chi '(G)\)</EquationSource> </InlineEquation> (resp. <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\chi ^*(G)\)</EquationSource> </InlineEquation>). Let <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\Delta (G)\)</EquationSource> </InlineEquation> be the maximum degree of <i>G</i> and let <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\Gamma (G)\)</EquationSource> </InlineEquation> be the density of <i>G</i>, defined by <Equation ID="Equ1"> <EquationSource Format="TEX">\(\begin{aligned} \Gamma (G)=\max \left\{ \frac{2|E(U)|}{|U|-1}:\,\, U \subseteq V, \,\, |U|\ge 3 \hspace{5.69054pt}\textrm{and} \hspace{5.69054pt}\textrm{odd} \right\} , \end{aligned}\)</EquationSource> </Equation>where <i>E</i>(<i>U</i>) is the set of all edges of <i>G</i> with both ends in <i>U</i>. Clearly, <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(\max \{\Delta (G), \, \lceil \Gamma (G) \rceil \}\)</EquationSource> </InlineEquation> is a lower bound for <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(\chi '(G)\)</EquationSource> </InlineEquation>. As shown by Seymour, <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(\chi ^*(G)=\max \{\Delta (G), \, \Gamma (G)\}\)</EquationSource> </InlineEquation>. In the early 1970s Goldberg and Seymour independently conjectured that <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(\chi '(G) \le \max \{\Delta (G)+1, \, \lceil \Gamma (G) \rceil \}\)</EquationSource> </InlineEquation>. Over the past five decades this conjecture, a cornerstone in modern edge-coloring, has been a subject of extensive research, and has stimulated an important body of work. In this paper we present a proof of this conjecture. Our result implies that, first, there are only two possible values for <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\(\chi '(G)\)</EquationSource> </InlineEquation>, so an analogue to Vizing’s theorem on edge-colorings of simple graphs holds for multigraphs; second, although it is <i>NP</i>-hard in general to determine <InlineEquation ID="IEq11"> <EquationSource Format="TEX">\(\chi '(G)\)</EquationSource> </InlineEquation>, we can approximate it within one of its true value, and find it exactly in polynomial time when <InlineEquation ID="IEq12"> <EquationSource Format="TEX">\(\Gamma (G)&gt;\Delta (G)\)</EquationSource> </InlineEquation>; third, every multigraph <i>G</i> satisfies <InlineEquation ID="IEq13"> <EquationSource Format="TEX">\(\chi '(G)-\chi ^*(G) \le 1\)</EquationSource> </InlineEquation>, and thus FECP has a fascinating integer rounding property.</p>

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Proof of the Goldberg–Seymour conjecture on edge–colorings of multigraphs

  • Guantao Chen,
  • Guangming Jing,
  • Wenan Zang

摘要

Given a multigraph \(G=(V,E)\) , the edge-coloring problem (ECP) is to color the edges of G with the minimum number of colors so that no two adjacent edges have the same color. This problem can be naturally formulated as an integer program, and its linear programming relaxation is referred to as the fractional edge-coloring problem (FECP). The optimal value of ECP (resp. FECP) is called the chromatic index (resp. fractional chromatic index) of G, denoted by \(\chi '(G)\) (resp. \(\chi ^*(G)\) ). Let \(\Delta (G)\) be the maximum degree of G and let \(\Gamma (G)\) be the density of G, defined by \(\begin{aligned} \Gamma (G)=\max \left\{ \frac{2|E(U)|}{|U|-1}:\,\, U \subseteq V, \,\, |U|\ge 3 \hspace{5.69054pt}\textrm{and} \hspace{5.69054pt}\textrm{odd} \right\} , \end{aligned}\) where E(U) is the set of all edges of G with both ends in U. Clearly, \(\max \{\Delta (G), \, \lceil \Gamma (G) \rceil \}\) is a lower bound for \(\chi '(G)\) . As shown by Seymour, \(\chi ^*(G)=\max \{\Delta (G), \, \Gamma (G)\}\) . In the early 1970s Goldberg and Seymour independently conjectured that \(\chi '(G) \le \max \{\Delta (G)+1, \, \lceil \Gamma (G) \rceil \}\) . Over the past five decades this conjecture, a cornerstone in modern edge-coloring, has been a subject of extensive research, and has stimulated an important body of work. In this paper we present a proof of this conjecture. Our result implies that, first, there are only two possible values for \(\chi '(G)\) , so an analogue to Vizing’s theorem on edge-colorings of simple graphs holds for multigraphs; second, although it is NP-hard in general to determine \(\chi '(G)\) , we can approximate it within one of its true value, and find it exactly in polynomial time when \(\Gamma (G)>\Delta (G)\) ; third, every multigraph G satisfies \(\chi '(G)-\chi ^*(G) \le 1\) , and thus FECP has a fascinating integer rounding property.