English

Robust Factorizations and Colorings of Tensor Graphs

Discrete Mathematics 2023-11-28 v2 Data Structures and Algorithms Combinatorics

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 no(1)n^{o(1)} 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 H=(V,E)H = (V,E) with V=V(K3×G)V =V( K_3 \times G) and E=E(K3×G)EE = E(K_3 \times G) \setminus E', where EE(K3×G)E' \subseteq E(K_3 \times G) is any edge set such that no vertex has more than an ϵ\epsilon fraction of its edges in EE'. We show that one can construct H~=K3×G~\widetilde{H} = K_3 \times \widetilde{G} with V(H~)=V(H)V(\widetilde{H}) = V(H) that is close to HH. For arbitrary GG, H~\widetilde{H} satisfies E(H)ΔE(H~)O(ϵE(H))|E(H) \Delta E(\widetilde{H})| \leq O(\epsilon|E(H)|). Additionally when GG is a mild expander, we provide a 3-coloring for HH in polynomial time. These results partially generalize an exact tensor factorization algorithm of Imrich. On the other hand, without any assumptions on GG, we show that it is NP-hard to 3-color HH.

Keywords

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

R2 v1 2026-06-25T01:01:54.918Z