Table of Contents
Fetching ...
Paper

Coloring locally sparse graphs

Abstract

A graph is -locally sparse if for each vertex , the subgraph induced by its neighborhood contains at most edges. Alon, Krivelevich, and Sudakov showed that for if a graph of maximum degree is -locally-sparse, then . We introduce a more general notion of local sparsity by defining graphs to be -locally-sparse for some graph if for each vertex the subgraph induced by the neighborhood of contains at most copies of . Employing the Rödl nibble method, we prove the following generalization of the above result: for every bipartite graph , if is -locally-sparse, then . This improves upon results of Davies, Kang, Pirot, and Sereni who consider the case when is a path. Our results also recover the best known bound on when is -free for , and hold for list and correspondence coloring in the more general so-called ''color-degree'' setting.