Optimal Proximity Gap for Folded Reed--Solomon Codes via Subspace Designs
Fernando Granha Jeronimo, Lenny Liu, Pranav Rajpal

TL;DR
This paper proves that folded Reed--Solomon codes exhibit a proximity gap property up to the optimal capacity regime, extending previous results known for affine subspaces and Reed--Solomon codes.
Contribution
It establishes the existence of a proximity gap for folded Reed--Solomon codes up to the capacity regime, generalizing prior work on affine subspaces and RS codes.
Findings
Folded Reed--Solomon codes exhibit a proximity gap up to the capacity regime.
The framework applies to suitable subspace-design codes.
Supports recent results showing FRS codes' properties similar to random linear codes.
Abstract
A collection of sets satisfies a -proximity gap with respect to some property if for every set in the collection, either (i) all members of the set are -close to the property in (relative) Hamming distance, or (ii) only a small -fraction of members are -close to the property. In a seminal work, Ben-Sasson \textit{et al.}\ showed that the collection of affine subspaces exhibits a -proximity gap with respect to the property of being Reed--Solomon (RS) codewords with up to the so-called Johnson bound for list decoding. Their technique relies on the Guruswami--Sudan list decoding algorithm for RS codes, which is guaranteed to work in the Johnson bound regime. Folded Reed--Solomon (FRS) codes are known to achieve the optimal list decoding radius , a regime known as capacity. Moreover, a rich line of…
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Taxonomy
TopicsCoding theory and cryptography · Cooperative Communication and Network Coding · graph theory and CDMA systems
