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arXiv:2611.11444 · v1

Tight B-Trees for Adjacency Labeling

首次提交 2026-11-08 23:12
版本更新 2026-11-08 23:12
雷达观测 2026-11-10 12:16
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摘要

We show that planar graphs admit adjacency labels of size log⁡n+O(log⁡log⁡n)\log n+O(\log\log n): every vertex gets a label of this many bits, and the adjacency of two vertices is decided from their labels alone, in constant time. This improves the log⁡n+O(log⁡nlog⁡log⁡n)\log n+O(\sqrt{\log n\log\log n}) of Dujmović et al. (J. ACM 2021) and the log⁡n+O(log⁡n)\log n+O(\sqrt{\log n}) of Gawrychowski and Janczewski (SOSA 2022). Equivalently, nn-vertex planar graphs have an induced-universal graph with n(log⁡n)O(1)n(\log n)^{O(1)} vertices, down from n2O(log⁡n)n2^{O(\sqrt{\log n})}. The same holds for graphs of bounded genus, apex-minor-free graphs and kk-planar graphs. For every proper minor-closed class we get log⁡n+O(log⁡nlog⁡log⁡n)\log n+O(\sqrt{\log n\log\log n}), down from the log⁡n+O((log⁡n)3/4)\log n+O((\log n)^{3/4}) of Dujmović et al. (2026). Both results come from tight B-trees: nodes are split into parts of nearly equal size, so every node but the topmost stays within a factor 1±O(1/log⁡n)1\pm O(1/\log n) of its target size, and a root-to-leaf path loses only O(log⁡log⁡n)O(\log\log n) bits.

作者备注:8 pages, 2 figures

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v1 · 2026-11-08 23:12 · 最新观测版本

Tight B-Trees for Adjacency Labeling

We show that planar graphs admit adjacency labels of size log⁡n+O(log⁡log⁡n)\log n+O(\log\log n): every vertex gets a label of this many bits, and the adjacency of two vertices is decided from their labels alone, in constant time. This improves the log⁡n+O(log⁡nlog⁡log⁡n)\log n+O(\sqrt{\log n\log\log n}) of Dujmović et al. (J. ACM 2021) and the log⁡n+O(log⁡n)\log n+O(\sqrt{\log n}) of Gawrychowski and Janczewski (SOSA 2022). Equivalently, nn-vertex planar graphs have an induced-universal graph with n(log⁡n)O(1)n(\log n)^{O(1)} vertices, down from n2O(log⁡n)n2^{O(\sqrt{\log n})}. The same holds for graphs of bounded genus, apex-minor-free graphs and kk-planar graphs. For every proper minor-closed class we get log⁡n+O(log⁡nlog⁡log⁡n)\log n+O(\sqrt{\log n\log\log n}), down from the log⁡n+O((log⁡n)3/4)\log n+O((\log n)^{3/4}) of Dujmović et al. (2026). Both results come from tight B-trees: nodes are split into parts of nearly equal size, so every node but the topmost stays within a factor 1±O(1/log⁡n)1\pm O(1/\log n) of its target size, and a root-to-leaf path loses only O(log⁡log⁡n)O(\log\log n) bits.

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