Abstract
We present an algorithm for coloring random 3-chromatic graphs with edge probabilities below the n −1/2 “barrier”. Our (deterministic) algorithm succeeds with high probability to 3-color a random 3-chromatic graph produced by partitioning the vertex set into three almost equal sets and selecting an edge between two vertices of different sets with probability p≥n − 3/5+ε. The method is extended to k-chromatic graphs, succeeding with high probability for p≥n −α+ε with α=2k/((k−l)(k+2)) and ε>0. The algorithms work also for Blum's balanced semi-random GSB(n,p,k) model where an adversary chooses the edge probability up to a small additive noise p. In particular, our algorithm does not rely on any uniformity in the degree.
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References
A. Blum, Some Tools for Approximate 3-Coloring, FOCS (1990), 554–562.
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J.S. Turner, Almost All k-colorable Graphs are Easy to Color, J. Alg. 9 (1988), 63–82.
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© 1992 Springer-Verlag Berlin Heidelberg
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Fürer, M., Subramanian, C.R. (1992). Coloring random graphs. In: Nurmi, O., Ukkonen, E. (eds) Algorithm Theory — SWAT '92. SWAT 1992. Lecture Notes in Computer Science, vol 621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55706-7_24
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DOI: https://doi.org/10.1007/3-540-55706-7_24
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