Recovering polynomials over finite fields from noisy character values
Abstract
Let g(X) be a polynomial over a finite field Fq with degree o(q1/2), and let be the quadratic residue character. We give a polynomial time algorithm to recover g(X) (up to perfect square factors) given the values of g on Fq, with up to a constant fraction of the values having errors. This was previously unknown even for the case of no errors. We give a similar algorithm for additive characters of polynomials over fields of characteristic 2. This gives the first polynomial time algorithm for decoding dual-BCH codes of polynomial dimension from a constant fraction of errors. Our algorithms use ideas from Stepanov's polynomial method proof of the classical Weil bounds on character sums, as well as from the Berlekamp-Welch decoding algorithm for Reed-Solomon codes. A crucial role is played by what we call *pseudopolynomials*: high degree polynomials, all of whose derivatives behave like low degree polynomials on Fq. Both these results can be viewed as algorithmic versions of the Weil bounds for this setting.
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