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A proof that Reed-Muller codes achieve Shannon capacity on symmetric channels

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arxiv 2304.02509 v1 pith:SDNB3JEI submitted 2023-04-05 cs.IT cs.DMmath.IT

classification cs.ITcs.DMmath.IT
keywords probabilitychannelscodescapacityerrorproofsymmetricvanishing
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abstract

Reed-Muller codes were introduced in 1954, with a simple explicit construction based on polynomial evaluations, and have long been conjectured to achieve Shannon capacity on symmetric channels. Major progress was made towards a proof over the last decades; using combinatorial weight enumerator bounds, a breakthrough on the erasure channel from sharp thresholds, hypercontractivity arguments, and polarization theory. Another major progress recently established that the bit error probability vanishes slowly below capacity. However, when channels allow for errors, the results of Bourgain-Kalai do not apply for converting a vanishing bit to a vanishing block error probability, neither do the known weight enumerator bounds. The conjecture that RM codes achieve Shannon capacity on symmetric channels, with high probability of recovering the codewords, has thus remained open. This paper closes the conjecture's proof. It uses a new recursive boosting framework, which aggregates the decoding of codeword restrictions on `subspace-sunflowers', handling their dependencies via an $L_p$ Boolean Fourier analysis, and using a list-decoding argument with a weight enumerator bound from Sberlo-Shpilka. The proof does not require a vanishing bit error probability for the base case, but only a non-trivial probability, obtained here for general symmetric codes. This gives in particular a shortened and tightened argument for the vanishing bit error probability result of Reeves-Pfister, and with prior works, it implies the strong wire-tap secrecy of RM codes on pure-state classical-quantum channels.

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  1. On the Worst-Case Complexity of Gibbs Decoding for Reed--Muller Codes

    cs.IT 2025-05 conditional novelty 7.0 of 10

    The paper proves that the Gibbs decoder for Reed-Muller codes can have super-polynomial mixing time on certain typical received sequences, so it is not a worst-case polynomial-time decoder.

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