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Subspace Polynomials and List Decoding of Reed-Solomon CodesIn FOCS '06: Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science (2006), pp. 207-216.
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AbstractWe show combinatorial limitations on efficient list decoding of Reed-Solomon codes beyond the Johnson and Guruswami-Sudan bounds [Joh62, Joh63, GS99]. In particular, we show that for arbitrarily large fields \mathbbF_N ,|\mathbbF_N| = N, for any δ ∈ (0, 1), and K = N^δ: --Existence: there exists a received word w_N : \mathbbF_N \to\mathbbF_N that agrees with a super-polynomial number of distinct degree K polynomials on ≈N^\sqrt δpoints each;--Explicit: there exists a polynomial time constructible received word w'_N: \mathbbF_N \to \mathbbF_N that agrees with a super-polynomial number of distinct degree K polynomials, on ≈ 2^\sqrt \log N K points each. In both cases, our results improve upon the previous state of the art, which was ≈ N^δ/δ for the existence case [JH01], and ≈ 2N^δ for the explicit one [GR05b]. Furthermore, for δ close to 1 our bound approaches the Guruswami-Sudan bound (which is \sqrt NK) and implies limitations on extending their efficient RS list decoding algorithm to larger decoding radius.Our proof method is surprisingly simple. We work with polynomials that vanish on subspaces of an extension field viewed as a vector space over the base field. These subspace polynomials are a subclass of linearized polynomials that were first studied by Ore [Ore33, Ore34] in the 1930s, and later by coding theorists. For us their main attraction is their sparsity and abundance of roots, virtues that recently won them pivotal roles in probabilistically checkable proofs of proximity [BSGH+04, BSS05] and sub-linear proof verification [BSGH+05].
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