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On the Toric Graph as a Tool to Handle the Problem of Sorting by Transpositions

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Advances in Bioinformatics and Computational Biology (BSB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 5167))

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Abstract

To this date, neither a polynomial algorithm to sort a permutation by transpositions has been found, nor a proof that it is an NP-hard problem has been given. Therefore, determining the exact transposition distance d t (π) of a generic permutation π, relative to the identity, is generally done by an exhaustive search on the space S n of all permutations of n elements. In a 2001 paper, Eriksson et al. [1] made a breakthrough by proposing a structure named by them as toric graph, which allowed the reduction of the search space, speeding-up the process, such that greater instances could be solved. Surprisingly, Eriksson et al. were able to exhibit a counterexample to a conjecture by Meidanis et al. [2] that the transposition diameter would be equal to the distance of the reverse permutation \(\lfloor{n/2}\rfloor+1\). The goal of the present paper is to further study the toric graph, focusing on the case when n + 1 is prime. We observe that the transposition diameter problem for n = 16 is still open. We determine that there are exactly \(\frac{n!-n}{n+1} + n\) vertices in the toric graph and find a lower bound \(d_t(\pi) \ge \lfloor{n/2}\rfloor\) on the transposition distance for every permutation π in a unitary toric class that is not the identity permutation. We provide experimental data on the exact distance of those permutations to back our conjecture that \(d_t(\pi) \le \lfloor{n/2}\rfloor + 1\), where π belongs to a unitary toric class, and that \(\lfloor{n/2}\rfloor + 1\) is equal to the transposition diameter when n + 1 is prime.

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References

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Ana L. C. Bazzan Mark Craven Natália F. Martins

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© 2008 Springer-Verlag Berlin Heidelberg

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de A. Hausen, R., Faria, L., de Figueiredo, C.M.H., Kowada, L.A.B. (2008). On the Toric Graph as a Tool to Handle the Problem of Sorting by Transpositions. In: Bazzan, A.L.C., Craven, M., Martins, N.F. (eds) Advances in Bioinformatics and Computational Biology. BSB 2008. Lecture Notes in Computer Science(), vol 5167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85557-6_8

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  • DOI: https://doi.org/10.1007/978-3-540-85557-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85556-9

  • Online ISBN: 978-3-540-85557-6

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