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Structural properties of edge-chromatic critical multigraphs

机译:边缘色调临界多基质的结构特性

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Let G be a graph with possible multiple edges but no loops. The density of G, denoted by rho(G) , is defined as max(H subset of G, vertical bar V(H)vertical bar >= 2) inverted right perpendicular vertical bar E(H)vertical bar/left perpendicular vertical bar V(H)vertical bar/2 right perpendicular inverted left perpendicular. Goldberg (1973) and Seymour (1974) independently conjectured that if the chromatic index chi'(G) satisfies chi'(G) >= Delta(G) + 2 then chi'(G) = rho(G), which is commonly regarded as Goldberg's conjecture. An equivalent conjecture, usually credited to Jakobsen, states that for any odd integer m >= 3, if chi'(G) >= m Delta(G)/m-1 + m-3/m-1 then chi'(G) = rho(G). The Tashkinov tree technique, a common generalization of Vizing fans and Kierstead paths for multigraphs, has emerged as the main tool to attack these two conjectures. On the other hand, Asplund and McDonald recently showed that there is a limitation to this method. In this paper, we will go beyond Tashkinov trees and provide a much larger extended structure, using which we see hope to tackle the conjecture. Applying this new technique, we show that the Goldberg's conjecture holds for graphs with Delta(G) <= 39, or vertical bar V(G)vertical bar <= 39 and the Jakobsen Conjecture holds for m <= 39, where the previously known best bound is 23. We also improve a number of other related results. (C) 2019 Elsevier Inc. All rights reserved.
机译:设g成为可能多个边缘但没有循环的图表。由rho(g)表示的g的密度定义为max(h子集,垂直条V(h)垂直条> = 2)倒右垂直垂直条E(h)垂直杆/左垂直垂直杆V(H)垂直条/ 2右垂直垂直垂直。戈德伯格(1973)和西摩(1974)独立地劝导,如果彩色指数Chi'(g)满足Chi'(g)> =δ(g)+ 2那么Chi'(g)= rho(g),这通常是被视为金伯格的猜想。一种等效的猜想,通常记入jakobsen,指出,对于任何奇数整数m> = 3,如果chi'(g)> = m delta(g)/ m-1 + m-3 / m-1则为chi'(g )= rho(g)。 Tashkyov树技术,常见的多层玻璃瘤的调节风扇和Kierstead路径的共同推广,作为攻击这两个猜想的主要工具。另一方面,Asplund和McDonald最近表明对该方法有一个限制。在本文中,我们将超越塔斯基诺夫树,并提供更大的扩展结构,使用我们看到希望解决猜想。应用这种新技术,我们表明,Goldberg的猜想为具有增量(g)<= 39的图表,或垂直条V(g)垂直条<= 39,并且jakobsen猜想保持为m <= 39,其中先前已知最佳界限是23.我们还提高了许多其他相关结果。 (c)2019 Elsevier Inc.保留所有权利。

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