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On the Order of the Central Moments of the Length of the Longest Common Subsequences in Random Words

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Book cover High Dimensional Probability VII

Part of the book series: Progress in Probability ((PRPR,volume 71))

Abstract

We investigate the order of the r-th, 1 ≤ r < +, central moment of the length of the longest common subsequences of two independent random words of size n whose letters are identically distributed and independently drawn from a finite alphabet. When all but one of the letters are drawn with small probabilities, which depend on the size of the alphabet, a lower bound is shown to be of order n r∕2. This result complements a generic upper bound also of order n r∕2.

Mathematics Subject Classification (2010). 60K35; 60C05; 05A05

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References

  1. K.S. Alexander, The rate of convergence of the mean length of the longest common subsequence. Ann. Appl. Probab. 4 (4), 1074–1082 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  2. S. Amsalu, C. Houdré, H. Matzinger, Sparse long blocks and the variance of the LCS. Preprint arXiv:math/1204.1009 (2012)

    Google Scholar 

  3. S. Amsalu, C. Houdré, H. Matzinger, Sparse long blocks and the micro-structure of the longest common subsequences. J. Stat. Phys. 154, 1516–1549 (2014)

    Article  MATH  Google Scholar 

  4. J.C. Breton, C. Houdré, On the limiting law of the length of the longest common and increasing subsequences in random words. ArXiv:math/1505.06164 (2015)

    Google Scholar 

  5. V. Chvátal, D. Sankoff, Longest common subsequences of two random sequences. J. Appl. Probab. 12, 306–315 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  6. C. Houdré, H. Matzinger, On the variance of the optimal alignment score for an asymmetric scoring function. J. Stat. Phys. 164 (3), 693–734, (2016)

    Article  MathSciNet  Google Scholar 

  7. C. Houdré, Ü. Işlak, A central limit theorem for the length of the longest common subsequence in random words. Preprint arXiv:math/1408.1559v3 (2014)

    Google Scholar 

  8. C. Houdré, J. Lember, H. Matzinger, On the longest common increasing binary subsequence. C.R. Acad. Sci. Paris Ser. I 343, 589–594 (2006)

    Google Scholar 

  9. J. Lember, H. Matzinger, Standard deviation of the longest common subsequence. Ann. Probab. 37 (3), 1192–1235 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  10. S.N. Majumdar, S. Nechaev, Exact asymptotic results for the Bernoulli matching model of sequence alignment. Phys. Rev. E (3), 72 (2), 4 pp (2005)

    Google Scholar 

  11. A. Osȩkowski, Sharp Martingale and Semimartingale Inequalities (Springer Basel, 2012)

    Book  MATH  Google Scholar 

  12. W.T. Rhee, M. Talagrand. Martingale inequalities and the jackknife estimate of variance. Stat. Probab. Lett. 4 (1), 5–6 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  13. J.M. Steele, An Efron-Stein inequality for nonsymmetric statistics. Ann. Stat. 14, 753–758 (1986)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

Many thanks to Ruoting Gong and an anonymous referee for their detailed reading and numerous comments on this paper.

This work was supported in part by the grant #246283 from the Simons Foundation and by a Simons Foundation Fellowship, grant #267336. Many thanks to the Laboratoire MAS of the École Centrale Paris and to the LPMA of the Université Pierre et Marie Curie (Paris VI) for their hospitality and support while part of this research was carried out.

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Correspondence to Christian Houdré .

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Houdré, C., Ma, J. (2016). On the Order of the Central Moments of the Length of the Longest Common Subsequences in Random Words. In: Houdré, C., Mason, D., Reynaud-Bouret, P., Rosiński, J. (eds) High Dimensional Probability VII. Progress in Probability, vol 71. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-40519-3_5

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