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Statistical Mechanics Approach to Coding Theory

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Abstract

We propose a method based on cluster expansion to study the optimal code with a given distance between codewords. Using this approach we find the Gilbert–Varshamov lower bound for the rate of largest code.

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REFERENCES

  1. D. Brydges, A Short Course on Cluster Expansion, Les Houches 1984, K. Osterwalder and R. Stora, eds. (North Holland Press, 1986).

  2. E. N. Gilbert, A comparison of signalling alphabets, Bell Syst. Tech. Jnl. 31:504-522 (1952).

    Google Scholar 

  3. J. L. Lebowitz and J. K. Percus, Integral equations and inequalities in the theory of fluids, J. Math. Phys. 4:1495-1506 (1963).

    Google Scholar 

  4. F. J. Macwilliams and N. J. A. Sloane, The Theory of Error-Correcting Codes (North-Holland Math Library, Vol. 16, 1977).

  5. A. Procacci, B. N. B. de Lima, and B. Scoppola, A remark on high temperature polymer expansion for lattice systems with infinite range pair interactions, Lett. Math. Phys. 45:303-322 (1998).

    Google Scholar 

  6. D. Ruelle, Statistical Mechanics, Rigorous Results (W. Benjamin inc., 1969).

  7. R. R. Varshamov, Estimate of the number of signals in error correcting codes, Dokl. Akad. Nauk SSSR 117:739-741 (1957).

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Procacci, A., Scoppola, B. Statistical Mechanics Approach to Coding Theory. Journal of Statistical Physics 96, 907–912 (1999). https://doi.org/10.1023/A:1004666811087

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  • DOI: https://doi.org/10.1023/A:1004666811087

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