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An Efficient Way to Determine the Chromatic Number of a Graph Directly from its Input Realizable Sequence

Published: 10 August 2015 Publication History

Abstract

Spectral graph theory is a popular topic in modern day applied mathematics. Spectral graph theoretic techniques are widely used to extract a large variety of information about different properties of a graph from its adjacency matrix. A well known physical property of a graph is its chromatic number. In this paper, we have proposed an efficient approach to determine chromatic number of a graph directly from a realizable sequence. The method involves construction of adjacency matrix corresponding to an input sequence followed by calculation of eigen values to determine the bounds of chromatic number and consequently its chromatic number.

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  1. An Efficient Way to Determine the Chromatic Number of a Graph Directly from its Input Realizable Sequence

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        cover image ACM Other conferences
        WCI '15: Proceedings of the Third International Symposium on Women in Computing and Informatics
        August 2015
        763 pages
        ISBN:9781450333610
        DOI:10.1145/2791405
        © 2015 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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        Publication History

        Published: 10 August 2015

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        Author Tags

        1. Adjacency Matrix
        2. Chromatic Number
        3. Degree Sequence
        4. Eigen Values
        5. Realizable Sequence

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        WCI '15 Paper Acceptance Rate 98 of 452 submissions, 22%;
        Overall Acceptance Rate 98 of 452 submissions, 22%

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