An Introduction to Coding Sequences of Graphs

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Combinatorial Optimization and Applications (COCOA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10043))

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Abstract

In this paper, we introduce a new representation of simple undirected graphs in terms of set of vectors in finite dimensional vector spaces over \(\mathbb {Z}_2\) which satisfy consecutive 1’s property, called a coding sequence of a graph G. Among all coding sequences we identify the one which is unique for a class of isomorphic graphs, called the code of a graph. We characterize several classes of graphs in terms of coding sequences. It is shown that a graph G with n vertices is a tree if and only if any coding sequence of G is a basis of the vector space \(\mathbb {Z}_2^{n-1}\) over \(\mathbb {Z}_2\).

Moreover, considering coding sequences as binary matroids, we obtain a characterization for simple graphic matroids. Introducing concepts of segment binary matroid and strong isomorphisms we show that two simple undirected graphs are isomorphic if and only if their canonical sequences are strongly isomorphic simple segment binary matroids.

AMS Subject Classifications: 05C62, 05C50, 05B35.

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References

  1. Chen, W.K.: On vector spaces associated with a graph. SIAM J. Appl. Math. 20, 526–529 (1971)

    Article  MathSciNet  MATH  Google Scholar 

  2. Deo, N.: Graph Theory with Applications to Engineering and Computer Science. Prentice Hall of India Pvt. Ltd., New Delhi (1997)

    MATH  Google Scholar 

  3. Gould, R.: Graphs and vector spaces. J. Math. Phys. 37, 193–214 (1958)

    Article  MathSciNet  MATH  Google Scholar 

  4. Gross, J.L., Yellen, J.: Graph Theory and Its Applications, 2nd edn. CRC Press, New York (2006)

    MATH  Google Scholar 

  5. Oxley, J.G.: Matroid Theory. Oxford University Press, Oxford (1992)

    MATH  Google Scholar 

  6. Tutte, W.T.: Matroids and graphs. Trans. Am. Math. Soc. 90, 527–552 (1959)

    Article  MathSciNet  MATH  Google Scholar 

  7. Tutte, W.T.: An algorithm for determining whether a given binary matroid is graphic. Proc. Am. Math. Soc. 11, 905–917 (1960)

    MathSciNet  MATH  Google Scholar 

  8. West, D.B.: Introduction to Graph Theory. Prentice-Hall of India Pvt. Ltd., New Delhi (2003)

    Google Scholar 

  9. Whitney, H.: On the abstract properties of linear dependence. Am. J. Math. 57, 509–533 (1935)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

Authors are thankful to learned referees for their kind comments and suggestions. The second author is grateful to the University Grants Commission, Government of India, for providing research support (Grant no. F. 17-76/2008(SA-I).

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Correspondence to Shamik Ghosh .

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Ghosh, S., Sen Gupta, R., Sen, M.K. (2016). An Introduction to Coding Sequences of Graphs. In: Chan, TH., Li, M., Wang, L. (eds) Combinatorial Optimization and Applications. COCOA 2016. Lecture Notes in Computer Science(), vol 10043. Springer, Cham. https://doi.org/10.1007/978-3-319-48749-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-48749-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48748-9

  • Online ISBN: 978-3-319-48749-6

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