Borel versions of the Local Lemma and LOCAL algorithms for graphs of finite asymptotic separation index
Anton Bernshteyn, Felix Weilacher
TL;DR
This work develops Borel analogues of the Lovász Local Lemma under finite asymptotic separation index and ties them to efficient randomized LOCAL algorithms. By introducing a shattering-based LLL and leveraging structured-graph reductions, it yields constructive Borel colorings and edge-colorings for broad classes of Borel graphs with finite asi, including Schreier graphs. Key contributions include Borel Brooks/Johansson-type bounds, near-Delta edge-colorings, and Schreier-graph Vizing-type results, all grounded in an LLL/LOCAL pipeline that connects distributed computing to descriptive combinatorics. The results substantially broaden when and where Borel combinatorics can mirror finite/classical behavior, with implications for measurable and Baire-measurable contexts and potential for further generalizations in structured graphs and hyperfinite settings.
Abstract
Asymptotic separation index is a parameter that measures how easily a Borel graph can be approximated by its subgraphs with finite components. In contrast to the more classical notion of hyperfiniteness, asymptotic separation index is well-suited for combinatorial applications in the Borel setting. The main result of this paper is a Borel version of the Lovász Local Lemma -- a powerful general-purpose tool in probabilistic combinatorics -- under a finite asymptotic separation index assumption. As a consequence, we show that locally checkable labeling problems that are solvable by efficient randomized distributed algorithms admit Borel solutions on bounded degree Borel graphs with finite asymptotic separation index. From this we derive a number of corollaries, for example a Borel version of Brooks's theorem for graphs with finite asymptotic separation index.
