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Testing algebraic geometric codes

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Abstract

Property testing was initially studied from various motivations in 1990’s. A code CGF(r)n is locally testable if there is a randomized algorithm which can distinguish with high possibility the codewords from a vector essentially far from the code by only accessing a very small (typically constant) number of the vector’s coordinates. The problem of testing codes was firstly studied by Blum, Luby and Rubinfeld and closely related to probabilistically checkable proofs (PCPs). How to characterize locally testable codes is a complex and challenge problem. The local tests have been studied for Reed-Solomon (RS), Reed-Muller (RM), cyclic, dual of BCH and the trace subcode of algebraicgeometric codes. In this paper we give testers for algebraic geometric codes with linear parameters (as functions of dimensions). We also give a moderate condition under which the family of algebraic geometric codes cannot be locally testable.

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References

  1. Rubinfeld R, Sudan M. Robust characterization of polynomials with applications to program testing. SIAM J Comput, 25(2): 252–271 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  2. Goldreich O, Goldwasser S, Ron D. Property testing and its connection to learning and approximation. JACM, 45(4): 653–750 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  3. Alon N, Kaufman T, Krivelevich M, et al. Testing low-degree polynomials over GF(2). In: Proceedings of the 7th Annual Workshop on Randomized Structures and Algorithms. Berlin: Springer-Verlag, 1992, 289–304

    Google Scholar 

  4. Alon N, Krivelevich M, Kaufman T, et al. Testing Reed-Muller codes. IEEE Trans Inform Theory, 51(11): 4032–4039 (2005)

    Article  MathSciNet  Google Scholar 

  5. Arora A. Probabilistic checking of proofs and the hardness of approximation problems. PhD Thesis. California: UC Berkeley, 1994

    Google Scholar 

  6. Arora A, Lund C, Motwani R, et al. Proof verification and intractability of approximation problems. JACM, 45(3): 501–555 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  7. Arora S, Safra S. Probabilistic checkable proofs: a new characterization of NP. JACM, 45(1): 70–122 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  8. Arora S, Sudan M. Improved low-degree testing and its applications. In: Proceedings of 29th annual ACM Symposium on the Theory of Computing. New York: ACM, 1997, 485–495

    Google Scholar 

  9. Babai L, Fortnow L, Levin L, et al. Checking computations in polylogarithmic time. In: Proceedings of 23rd Annual ACM Symposium on the Theory of Computing. New York: ACM, 1991, 21–31

    Google Scholar 

  10. Babai L, Shpilka A, Stefankovic D. Locally testable cyclic codes. IEEE Trans Inform Theory, 51(8): 2849–2858 (2005)

    Article  MathSciNet  Google Scholar 

  11. Bellare M, Coppersmith D, Hastad J, et al. Linearity testing in characteristic two. IEEE Trans Inform Theory, 42(6): 1781–1795 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  12. Bellare M, Goldwasser S, Lund C, et al. Efficient probabilistically checkable proofs and applications to approximation. In: Proceedings of 24th Annual ACM Symposium on the Theory of Computing. New York: ACM, 1993, 294–304

    Google Scholar 

  13. Ben-Sasson E, Goldreich O, Harasha P, et al. Robust PCPs of proximity, shorter PCPs and applications to coding. In: Proceedings of 36th Annual Symposium on the Theory of Computing. New York: ACM, 2004, 1–10

    Google Scholar 

  14. Ben-Sasson E, Harasha P, Raskhodnikova S. Some 3CNF properties are hard to test. In: Proceedings of 35th Annual ACM Symposium on the Theory of Computing. New York: ACM, 2003, 345–354

    Google Scholar 

  15. Ben-Sasson E, Sudan M, Vadhan S, et al. Randomness-efficient low degree tests and short PCPs via epsilon-biased sets. In: Proceedings of 35th Annual ACM Symposium on the Theory of Computing. New York: ACM, 2003, 612–621

    Google Scholar 

  16. Ben-Sasson E, Sudan M. Simple PCPs with poly-log rate and query complexity. In: Proceedings of 37th Annual ACM Symposium on the Theory of Computing. New York: ACM, 2005, 266–275

    Google Scholar 

  17. Blum M, Luby M, Rubinfield R. Self-testing/correcting with applications to numerical problems. J Comput System Sci, 47(3): 549–595 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  18. Dinur I, Sudan M, Wigderson A. Robust local testability of tensor products of LDPC codes. http://theory.lcs.mit.edu/7Emadhu/papers.html

  19. Feige U, Goldwasser S, Lovasz L, et al. Approximating clique is almost NP-complete. JACM, 43(2): 268–292 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  20. Friedl K, Sudan M. Some improvements to total degree tests. In: Proceedings of 3rd Annual Israel Symposium on Theory of Computing and Systems. Washington: IEEE, 1995, 190–198

    Chapter  Google Scholar 

  21. Goldreich O. Short locally testable codes and proofs (survey). http://www.wisdom.wei zmann.ac.il/oded

  22. Goldreich O, Sudan M. Locally testable codes and PCPs of almost linear length. In: Proc 43rd IEEE Symposium on Foundations of Computer Sciences. Washington: IEEE, 2002, 13–22

    Chapter  Google Scholar 

  23. Jutla C S, Patthak A C, Rudra A, et al. Testing low-degree polynomials over prime fields. In: Proceedings of the 45th Annual Symposium on Foundations of Computer Science. Washington: IEEE, 2004, 423–432

    Chapter  Google Scholar 

  24. Kaufman T, Ron D. Testing polynomials over general fields. In: Proceedings of 45th Annual Symposium on Foundations of Computer Sciences. Washington: IEEE, 2004, 413–422

    Chapter  Google Scholar 

  25. Kaufman T, Litsyn S. Almost orthogonal linear codes are locally testable. In: Proceeding of 46th IEEE Symposium on Foundations of Computer Science. Washington: IEEE, 2005, 317–326

    Chapter  Google Scholar 

  26. Kiwi M. Algebraic testing and weight distributions of codes. Theoret Comput Sci, 299: 81–106 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  27. Moshkovitz D, Raz R. Sub-constant error low degree test of almost-linear size. In: Proceedings of 38th Annual ACM Symposium on the Theory of Comput. New York: ACM, 2006, 21–30

    Google Scholar 

  28. Gacia A, Stichtenoth H. A tower of Artin-Schreier extension of function fields attaining Drinfeld-Vladut bound. Invent Math, 121(1): 211–222 (1995)

    Article  MathSciNet  Google Scholar 

  29. van Lint J H. Introduction to Coding Theory, 3rd ed. Berlin: Springer-Verlag, 1999

    MATH  Google Scholar 

  30. Stichtenoth H. Algebraic Function Fields and Codes. Berlin: Springer, 1993

    MATH  Google Scholar 

  31. Tsfasman M, Vladut S G. Algebraic-Geometric Codes. Dordrecht: Kluwer, 1991

    MATH  Google Scholar 

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Correspondence to Hao Chen.

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This work was partially supported by National Natural Science Foundation of China (Grant No. 10871068)

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Chen, H. Testing algebraic geometric codes. Sci. China Ser. A-Math. 52, 2171–2176 (2009). https://doi.org/10.1007/s11425-009-0141-4

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  • DOI: https://doi.org/10.1007/s11425-009-0141-4

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