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Online Edge Coloring is (Nearly) as Easy as Offline (2402.18339v1)

Published 28 Feb 2024 in cs.DS

Abstract: The classic theorem of Vizing (Diskret. Analiz.'64) asserts that any graph of maximum degree $\Delta$ can be edge colored (offline) using no more than $\Delta+1$ colors (with $\Delta$ being a trivial lower bound). In the online setting, Bar-Noy, Motwani and Naor (IPL'92) conjectured that a $(1+o(1))\Delta$-edge-coloring can be computed online in $n$-vertex graphs of maximum degree $\Delta=\omega(\log n)$. Numerous algorithms made progress on this question, using a higher number of colors or assuming restricted arrival models, such as random-order edge arrivals or vertex arrivals (e.g., AGKM FOCS'03, BMM SODA'10, CPW FOCS'19, BGW SODA'21, KLSST STOC'22). In this work, we resolve this longstanding conjecture in the affirmative in the most general setting of adversarial edge arrivals. We further generalize this result to obtain online counterparts of the list edge coloring result of Kahn (J. Comb. Theory. A'96) and of the recent "local" edge coloring result of Christiansen (STOC'23).

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References (32)
  1. Online vertex-weighted bipartite matching and single-bid budgeted allocations. In Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1253–1264, 2011.
  2. Switch scheduling via randomized edge coloring. In Proceedings of the 44th Symposium on Foundations of Computer Science (FOCS), pages 502–512, 2003.
  3. Multiway online correlated selection. In Proceedings of the 62nd Symposium on Foundations of Computer Science (FOCS), pages 1277–1284, 2021.
  4. On the power of randomization in on-line algorithms. Algorithmica, 11(1):2–14, 1994.
  5. An algorithm for komlós conjecture matching banaszczyk’s bound. SIAM Journal on Computing, 48, 2016.
  6. Online edge coloring algorithms via the nibble method. In Proceedings of the 32nd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 2830–2842, 2021.
  7. Online graph edge-coloring in the random-order arrival model. Theory of Computing, 8(1):567–595, 2012.
  8. The greedy algorithm is optimal for on-line edge coloring. Information Processing Letters (IPL), 44(5):251–253, 1992.
  9. Simple and optimal online bipartite edge coloring. In Proceedings of the 7th Symposium on Simplicity in Algorithms (SOSA), 2024.
  10. Aleksander Bjørn Grodt Christiansen. The power of multi-step vizing chains. In Proceedings of the 55th Annual ACM Symposium on Theory of Computing (STOC), pages 1013–1026, 2023.
  11. Tight bounds for online edge coloring. In Proceedings of the 60th Symposium on Foundations of Computer Science (FOCS), pages 1–25, 2019.
  12. Randomized online matching in regular graphs. In Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 960–979, 2018.
  13. Balls and bins: A study in negative dependence. BRICS Report Series, 3(25), 1996.
  14. Jack Edmonds. Maximum matching and a polyhedron with 0, 1-vertices. Journal of research of the National Bureau of Standards B, 69(125-130):55–56, 1965.
  15. Edge-weighted online bipartite matching. In Proceedings of the 61st Symposium on Foundations of Computer Science (FOCS), pages 412–423, 2020.
  16. David A Freedman. On Tail Probabilities for Martingales. The Annals of Probability, 1975.
  17. Improved online correlated selection. In Proceedings of the 62nd Symposium on Foundations of Computer Science (FOCS), pages 1265–1276, 2021.
  18. Online matching with general arrivals. In Proceedings of the 60th Symposium on Foundations of Computer Science (FOCS), pages 26–38, 2019.
  19. Fully online matching. Journal of the ACM (JACM), 67(3):1–25, 2020.
  20. Probabilistic methods for algorithmic discrete mathematics, volume 16. Springer Science & Business Media, 1998.
  21. Fully online matching ii: Beating ranking and water-filling. In Proceedings of the 61st Symposium on Foundations of Computer Science (FOCS), page To appear, 2020.
  22. Adwords in a panorama. In Proceedings of the 61st Symposium on Foundations of Computer Science (FOCS), page To appear, 2020.
  23. Jeff Kahn. Asymptotically good list-colorings. Journal of Combinatorial Theory, Series A, 73(1):1–59, 1996.
  24. Online edge coloring via tree recurrences and correlation decay. In Proceedings of the 54th Annual ACM Symposium on Theory of Computing (STOC), pages 2958–2977, 2022.
  25. An optimal algorithm for on-line bipartite matching. In Proceedings of the 22nd Annual ACM Symposium on Theory of Computing (STOC), pages 352–358, 1990.
  26. Adwords and generalized online matching. Journal of the ACM (JACM), 54(5):22, 2007.
  27. Online dependent rounding schemes. arXiv preprint arXiv:2301.08680, 2023.
  28. The greedy algorithm is not optimal for on-line edge coloring. In Proceedings of the 48th International Colloquium on Automata, Languages and Programming (ICALP), pages 109:1–109:18, 2021.
  29. Vadim G Vizing. On an estimate of the chromatic class of a p-graph. Diskret analiz, 3:25–30, 1964.
  30. Vadim G Vizing. Vertex colorings with given colors. Diskret. Analiz, 29:3–10, 1976.
  31. David Wajc. Negative association – definition, properties, and applications. http://www.cs.cmu.edu/d̃wajc/notes/NegativeAssociation.pdf, 2017.
  32. David Wajc. Matching Theory Under Uncertainty. PhD thesis, Carnegie Mellon University, 2020.
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