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arXiv 2004.04905math.COmath.LO
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分布式算法、Lovász局部引理与描述组合学

Distributed Algorithms, the Lovász Local Lemma, and Descriptive Combinatorics

Anton Bernshteyn

AI总结:

该研究将有限组合学的分布式着色算法与对称Lovász局部引理拓展至Borel空间组合结构,得到良态着色的充分条件,为描述组合学与遍历理论提供新结论。

摘要:

本文研究标准Borel空间上的图及其他组合结构的着色问题,目标是获得这类着色能具备拓扑或测度意义上良好性质的充分条件。为此,我们证明可借助有限组合学与计算机科学领域的若干强力方法构造这类良态着色。首先,我们证明(有限图上的)高效分布式着色算法可生成有界度Borel图的良态着色:大致而言,确定性算法生成Borel着色,随机化算法生成可测与Baire可测着色。其次,我们建立了对称Lovász局部引理(Symmetric Lovász Local Lemma)的可测与Baire可测版本,其成立条件为$\textsf{p}(\textsf{d}+1)^8 \leq 2^{-15}$,该条件强于标准LLL假设$\textsf{p}(\textsf{d} + 1) \leq e^{-1}$,但仍适用于诸多应用场景。基于这些一般性结果,我们推导出描述组合学与遍历理论中的若干推论。

英文摘要:

In this paper we consider coloring problems on graphs and other combinatorial structures on standard Borel spaces. Our goal is to obtain sufficient conditions under which such colorings can be made well-behaved in the sense of topology or measure. To this end, we show that such well-behaved colorings can be produced using certain powerful techniques from finite combinatorics and computer science. First, we prove that efficient distributed coloring algorithms (on finite graphs) yield well-behaved colorings of Borel graphs of bounded degree; roughly speaking, deterministic algorithms produce Borel colorings, while randomized algorithms give measurable and Baire-measurable colorings. Second, we establish measurable and Baire-measurable versions of the Symmetric Lovász Local Lemma (under the assumption $\mathsf{p}(\mathsf{d}+1)^8 \leq 2^{-15}$, which is stronger than the standard LLL assumption $\mathsf{p}(\mathsf{d} + 1) \leq e^{-1}$ but still sufficient for many applications). From these general results, we derive a number of consequences in descriptive combinatorics and ergodic theory.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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