We consider a graph coloring algorithm that processes vertices in order taken uniformly at random and assigns colors to them using First-Fit strategy. We show that this algorithm uses, in expectation, at most (1+o(1))⋅ln n / ln ln n different colors to color any forest with n vertices. We also construct a family of forests that shows that this bound is best possible.
@InProceedings{bosek_et_al:LIPIcs.MFCS.2024.33, author = {Bosek, Bart{\l}omiej and Gutowski, Grzegorz and Laso\'{n}, Micha{\l} and Przyby{\l}o, Jakub}, title = {{First-Fit Coloring of Forests in Random Arrival Model}}, booktitle = {49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024)}, pages = {33:1--33:10}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-335-5}, ISSN = {1868-8969}, year = {2024}, volume = {306}, editor = {Kr\'{a}lovi\v{c}, Rastislav and Ku\v{c}era, Anton{\'\i}n}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2024.33}, URN = {urn:nbn:de:0030-drops-205892}, doi = {10.4230/LIPIcs.MFCS.2024.33}, annote = {Keywords: First-Fit, Online Algorithms, Graph Coloring, Random Arrival Model} }
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