Coloring 3-Colorable Graphs with Low Threshold Rank

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Authors: Jun-Ting Hsieh
Cited by: 0

Abstract

We present a new algorithm for finding large independent sets in 3-colorable graphs with small 1-sided threshold rank. Specifically, given an \(n\)-vertex 3-colorable graph whose uniform random walk matrix has at most \(r\) eigenvalues larger than \(\varepsilon\), our algorithm finds a proper 3-coloring on at least \((\frac12 - O(\varepsilon))n\) vertices in time \(n^{O(r/\varepsilon^2)}\). This extends and improves upon the result of Bafna, Hsieh, and Kothari [6] on 1-sided expanders. Furthermore, an independent work by Buhai, Hua, Steurer, and Vari-Kakas [13] shows that it is UG-hard to properly 3-color more than \((\frac12 + \varepsilon)n\) vertices, thus establishing the tightness of our result.

Fields of Study & Subjects

Complexity and Algorithms in Graphs Limits and Structures in Graph Theory Advanced Graph Theory Research

Publication details

Journal / source
Society for Industrial and Applied Mathematics eBooks
Pages
718–726
Publication date
1 January 2026
Language
EN