scholarly journals On the maximum average degree and the incidence chromatic number of a graph

2005 ◽  
Vol Vol. 7 ◽  
Author(s):  
Mohammad Hosseini Dolama ◽  
Eric Sopena
Keyword(s):  
Chromatic Number ◽  
Average Degree ◽  
Maximum Average Degree ◽  
International Audience

International audience We prove that the incidence chromatic number of every 3-degenerated graph G is at most Δ (G)+4. It is known that the incidence chromatic number of every graph G with maximum average degree mad(G)<3 is at most Δ (G)+3. We show that when Δ (G) ≥ 5, this bound may be decreased to Δ (G)+2. Moreover, we show that for every graph G with mad(G)<22/9 (resp. with mad(G)<16/7 and Δ (G)≥ 4), this bound may be decreased to Δ (G)+2 (resp. to Δ (G)+1).

scholarly journals 8-star-choosability of a graph with maximum average degree less than 3

2011 ◽  
Vol Vol. 13 no. 3 (Graph and Algorithms) ◽  
Author(s):  
Min Chen ◽  
André Raspaud ◽  
Weifan Wang
Keyword(s):  
Graph Theory ◽  
Chromatic Number ◽  
Planar Graphs ◽  
Average Degree ◽  
Vertex Coloring ◽  
Maximum Average Degree ◽  
International Audience ◽  
Star Coloring ◽  
List Chromatic Number ◽  
Proper Vertex

Graphs and Algorithms International audience A proper vertex coloring of a graphGis called a star-coloring if there is no path on four vertices assigned to two colors. The graph G is L-star-colorable if for a given list assignment L there is a star-coloring c such that c(v) epsilon L(v). If G is L-star-colorable for any list assignment L with vertical bar L(v)vertical bar \textgreater= k for all v epsilon V(G), then G is called k-star-choosable. The star list chromatic number of G, denoted by X-s(l)(G), is the smallest integer k such that G is k-star-choosable. In this article, we prove that every graph G with maximum average degree less than 3 is 8-star-choosable. This extends a result that planar graphs of girth at least 6 are 8-star-choosable [A. Kundgen, C. Timmons, Star coloring planar graphs from small lists, J. Graph Theory, 63(4): 324-337, 2010].

Linear list r-hued coloring of sparse graphs

2018 ◽  
Vol 10 (04) ◽  
pp. 1850045
Author(s):  
Hongping Ma ◽  
Xiaoxue Hu ◽  
Jiangxu Kong ◽  
Murong Xu
Keyword(s):  
Chromatic Number ◽  
Maximum Degree ◽  
Average Degree ◽  
Disjoint Paths ◽  
Proper Coloring ◽  
Sparse Graphs ◽  
Maximum Average Degree ◽  
Linear Formula ◽  
Linear List

An [Formula: see text]-hued coloring is a proper coloring such that the number of colors used by the neighbors of [Formula: see text] is at least [Formula: see text]. A linear [Formula: see text]-hued coloring is an [Formula: see text]-hued coloring such that each pair of color classes induces a union of disjoint paths. We study the linear list [Formula: see text]-hued chromatic number, denoted by [Formula: see text], of sparse graphs. It is clear that any graph [Formula: see text] with maximum degree [Formula: see text] satisfies [Formula: see text]. Let [Formula: see text] be the maximum average degree of a graph [Formula: see text]. In this paper, we obtain the following results: (1) If [Formula: see text], then [Formula: see text] (2) If [Formula: see text], then [Formula: see text]. (3) If [Formula: see text], then [Formula: see text].

The list 2-distance coloring of a graph with Δ(G) = 5

2015 ◽  
Vol 07 (02) ◽  
pp. 1550017
Author(s):  
Yuehua Bu ◽  
Xia Lv ◽  
Xiaoyan Yan
Keyword(s):  
Chromatic Number ◽  
Average Degree ◽  
Maximum Average Degree ◽  
G 11

We study the list 2-distance coloring of a graph G, and its maximum average degree, denoted mad (G). For Δ(G) = 5, we proved that [Formula: see text], [Formula: see text], [Formula: see text] and ch 2(G) ≤ 11 if mad (G) < 3 respectively, where ch 2(G) is the list 2-distance chromatic number.

scholarly journals On the maximum average degree and the oriented chromatic number of a graph

1999 ◽  
Vol 206 (1-3) ◽  
pp. 77-89 ◽  
Author(s):  
O.V. Borodin ◽  
A.V. Kostochka ◽  
J. Nešetřil ◽  
A. Raspaud ◽  
E. Sopena
Keyword(s):  
Chromatic Number ◽  
Average Degree ◽  
Maximum Average Degree

scholarly journals The b-chromatic number of power graphs

2003 ◽  
Vol Vol. 6 no. 1 ◽  
Author(s):  
Brice Effantin ◽  
Hamamache Kheddouci
Keyword(s):  
Chromatic Number ◽  
Binary Trees ◽  
Proper Coloring ◽  
Power Cycles ◽  
International Audience

International audience The b-chromatic number of a graph G is defined as the maximum number k of colors that can be used to color the vertices of G, such that we obtain a proper coloring and each color i, with 1 ≤ i≤ k, has at least one representant x_i adjacent to a vertex of every color j, 1 ≤ j ≠ i ≤ k. In this paper, we discuss the b-chromatic number of some power graphs. We give the exact value of the b-chromatic number of power paths and power complete binary trees, and we bound the b-chromatic number of power cycles.

scholarly journals Cubical coloring — fractional covering by cuts and semidefinite programming

2015 ◽  
Vol Vol. 17 no.2 (Graph Theory) ◽  
Author(s):  
Robert Šámal
Keyword(s):  
Semidefinite Programming ◽  
Chromatic Number ◽  
Fractional Chromatic Number ◽  
Maximum Cut ◽  
Continuous Mappings ◽  
Polynomial Time Approximation Algorithm ◽  
Eigenvalue Bound ◽  
International Audience ◽  
Graph Parameters ◽  
Fractional Covering

International audience We introduce a new graph parameter that measures fractional covering of a graph by cuts. Besides being interesting in its own right, it is useful for study of homomorphisms and tension-continuous mappings. We study the relations with chromatic number, bipartite density, and other graph parameters. We find the value of our parameter for a family of graphs based on hypercubes. These graphs play for our parameter the role that cliques play for the chromatic number and Kneser graphs for the fractional chromatic number. The fact that the defined parameter attains on these graphs the correct value suggests that our definition is a natural one. In the proof we use the eigenvalue bound for maximum cut and a recent result of Engstr&ouml;m, F&auml;rnqvist, Jonsson, and Thapper [An approximability-related parameter on graphs &#x2013; properties and applications, DMTCS vol. 17:1, 2015, 33&#x2013;66]. We also provide a polynomial time approximation algorithm based on semidefinite programming and in particular on vector chromatic number (defined by Karger, Motwani and Sudan [Approximate graph coloring by semidefinite programming, J. ACM 45 (1998), no.&nbsp;2, 246&#x2013;265]).

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