Robust Factorizations and Colorings of Tensor Graphs
Abstract
Since the seminal result of Karger, Motwani, and Sudan, algorithms for approximate 3-coloring have primarily centered around SDP-based rounding. However, it is likely that important combinatorial or algebraic insights are needed in order to break the threshold. One way to develop new understanding in graph coloring is to study special subclasses of graphs. For instance, Blum studied the 3-coloring of random graphs, and Arora and Ge studied the 3-coloring of graphs with low threshold-rank. In this work, we study graphs which arise from a tensor product, which appear to be novel instances of the 3-coloring problem. We consider graphs of the form with and , where is any edge set such that no vertex has more than an fraction of its edges in . We show that one can construct with that is close to . For arbitrary , satisfies . Additionally when is a mild expander, we provide a 3-coloring for in polynomial time. These results partially generalize an exact tensor factorization algorithm of Imrich. On the other hand, without any assumptions on , we show that it is NP-hard to 3-color .
Cite
@article{arxiv.2207.08913,
title = {Robust Factorizations and Colorings of Tensor Graphs},
author = {Joshua Brakensiek and Sami Davies},
journal= {arXiv preprint arXiv:2207.08913},
year = {2023}
}
Comments
27 pages, 3 figures; accepted to SIAM Journal on Discrete Mathematics