Algebraic Bounds for the Independence and Chromatic Number of Graph Powers

The th graph power of a graph =(,) is the graph whose vertex set is <br/>and in which two distinct vertices are adjacent if and only if their distance in <br/>is at most . The -independence number ⁡() and distance- chromatic number ⁡() are then defined as the independence number and the chromatic number of <br/>, respectively. We present a theoretical framework in which a wide range of bounds for the distance- independence and chromatic numbers can be easily obtained and optimized in terms of the eigenvalues of and a degree- polynomial. We demonstrate the power of this method to derive sharp eigenvalue bounds for the two graph parameters. Moreover, we also show that several existing algebraic bounds fall in the proposed framework. Our approach is based on a combination of semidefinite programming and polynomial methods with spectral techniques.

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Publication Details

Journal
SIAM Journal on Matrix Analysis and Applications
Published
2026-04-01
DOI
https://doi.org/10.1137/25m1746057
Citations
1
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
29.69

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article

Algebraic Bounds for the Independence and Chromatic Number of Graph Powers

Jiang Zhou, Aida Abiad
1 citations
SIAM Journal on Matrix Analysis and Applications
Advanced Graph Theory Research
29.69
article

Algebraic Bounds for the Independence and Chromatic Number of Graph Powers

Jiang Zhou, Aida Abiad
article en
1 citations

Abstract

The th graph power of a graph =(,) is the graph whose vertex set is <br/>and in which two distinct vertices are adjacent if and only if their distance in <br/>is at most . The -independence number ⁡() and distance- chromatic number ⁡() are then defined as the independence number and the chromatic number of <br/>, respectively. We present a theoretical framework in which a wide range of bounds for the distance- independence and chromatic numbers can be easily obtained and optimized in terms of the eigenvalues of and a degree- polynomial. We demonstrate the power of this method to derive sharp eigenvalue bounds for the two graph parameters. Moreover, we also show that several existing algebraic bounds fall in the proposed framework. Our approach is based on a combination of semidefinite programming and polynomial methods with spectral techniques.

SIAM Journal on Matrix Analysis and ApplicationsVol. 47(2)
Harbin University (CN), Vrije Universiteit Brussel (BE), Harbin Engineering University (CN)
National Natural Science Foundation of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Natural Science Foundation of Heilongjiang Province
Reduced inequalities
Openalex Percentile: Top 1%
Advanced Graph Theory Research
29.69
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