Title :
On the hardness of 4-coloring a 3-collorable graph
Author :
Guruswami, Venkatesan ; Khanna, Sanjeev
Author_Institution :
Lab. for Comput. Sci., MIT, Cambridge, MA, USA
Abstract :
We give a new proof showing that it is NP-hard to color a 3-colorable graph using just four colors. This result is already known, but our proof is novel as it does not rely on the PCP theorem. This highlights a qualitative difference between the known hardness result for coloring 3-colorable graphs and the factor nε hardness for approximating the chromatic number of general graphs, as the latter result is known to imply (some form of) PCP theorem. Another aspect in which our proof is different is that using the PCP theorem we can show that 4-coloring of 3-colorable graphs remains NP-hard even on bounded-degree graphs (this hardness result does not seem to follow from the earlier reduction. We point out that such graphs can always be colored using O(1) colors by a simple greedy algorithm, while the best known algorithm for coloring (general) 3-colorable graphs requires nΩ(1) colours. Our proof technique also shows that there is an ε0>0 such that it is NP-hard to legally 4-color even a (1-ε0) fraction of the edges of a 3-colorable graph
Keywords :
computational complexity; graph colouring; 3-collorable graph; 4-coloring; NP-hard; bounded-degree graphs; chromatic number; hardness; Artificial intelligence; Computer science; Greedy algorithms; Information science; Law; Legal factors; NP-hard problem; Polynomials;
Conference_Titel :
Computational Complexity, 2000. Proceedings. 15th Annual IEEE Conference on
Conference_Location :
Florence
Print_ISBN :
0-7695-0674-7
DOI :
10.1109/CCC.2000.856749