TY - GEN
T1 - On the power of choice for k-colorability of random graphs
AU - Dani, Varsha
AU - Gupta, Diksha
AU - Hayes, Thomas P.
N1 - Publisher Copyright:
© Varsha Dani, Diksha Gupta, and Thomas P. Hayes; licensed under Creative Commons License CC-BY 4.0
PY - 2021/9/1
Y1 - 2021/9/1
N2 - In an r-choice Achlioptas process, random edges are generated r at a time, and an online strategy is used to select one of them for inclusion in a graph. We investigate the problem of whether such a selection strategy can shift the k-colorability transition; that is, the number of edges at which the graph goes from being k-colorable to non-k-colorable. We show that, for k ≥ 9, two choices suffice to delay the k-colorability threshold, and that for every k ≥ 2, six choices suffice.
AB - In an r-choice Achlioptas process, random edges are generated r at a time, and an online strategy is used to select one of them for inclusion in a graph. We investigate the problem of whether such a selection strategy can shift the k-colorability transition; that is, the number of edges at which the graph goes from being k-colorable to non-k-colorable. We show that, for k ≥ 9, two choices suffice to delay the k-colorability threshold, and that for every k ≥ 2, six choices suffice.
KW - Achlioptas processes
KW - Graph colorability
KW - Phase transition
KW - Random graphs
UR - https://www.scopus.com/pages/publications/85115633785
U2 - 10.4230/LIPIcs-APPROX/RANDOM.2021.59
DO - 10.4230/LIPIcs-APPROX/RANDOM.2021.59
M3 - Conference contribution
AN - SCOPUS:85115633785
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2021
A2 - Wootters, Mary
A2 - Sanita, Laura
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 24th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2021 and 25th International Conference on Randomization and Computation, RANDOM 2021
Y2 - 16 August 2021 through 18 August 2021
ER -