Bivariate Linear Operator Codes
Aaron L. Putterman, Vadim Zaripov

TL;DR
This paper introduces bivariate linear operator (B-LO) codes, a generalization of linear operator codes, capturing more capacity-achieving codes including permuted product codes, and provides conditions for their list decodability.
Contribution
It extends the linear operator code framework to bivariate polynomials, enabling the inclusion of more capacity-achieving codes like permuted product codes.
Findings
B-LO codes capture more capacity-achieving codes.
Sufficient conditions for list decodability of B-LO codes.
Permuted product codes are list decodable up to capacity.
Abstract
In this work, we present a generalization of the linear operator family of codes that captures more codes that achieve list decoding capacity. Linear operator (LO) codes were introduced by Bhandari, Harsha, Kumar, and Sudan [BHKS24] as a way to capture capacity-achieving codes. In their framework, a code is specified by a collection of linear operators that are applied to a message polynomial and then evaluated at a specified set of evaluation points. We generalize this idea in a way that can be applied to bivariate message polynomials, getting what we call bivariate linear operator (B-LO) codes. We show that bivariate linear operator codes capture more capacity-achieving codes, including permuted product codes introduced by Berman, Shany, and Tamo [BST24]. These codes work with bivariate message polynomials, which is why our generalization is necessary to capture them as a part of…
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Taxonomy
TopicsCoding theory and cryptography · graph theory and CDMA systems · Advanced Wireless Network Optimization
