List-decoding homomorphism codes with arbitrary codomains
Abstract
The codewords of the homomorphism code are the affine homomorphisms between two finite groups, and , generalizing Hadamard codes. Following the work of Goldreich--Levin (1989), Grigorescu et al. (2006), Dinur et al. (2008), and Guo and Sudan (2014), we further expand the range of groups for which local list-decoding is possible up to , the minimum distance of the code. In particular, for the first time, we do not require either or to be solvable. Specifically, we demonstrate a bound on the list size, i.e., on the number of codewords within distance from any received word, when is either abelian or an alternating group, and is an arbitrary (finite or infinite) group. We conjecture that a similar bound holds for all finite simple groups as domains; the alternating groups serve as the first test case. The abelian vs. arbitrary result then permits us to adapt previous techniques to obtain efficient local list-decoding for this case. We also obtain efficient local list-decoding for the permutation representations of alternating groups (i.e., when the codomain is a symmetric group ) under the restriction that the domain is paired with codomain satisfying . The limitations on the codomain in the latter case arise from severe technical difficulties stemming from the need to solve the homomorphism extension (HomExt) problem in certain cases; these are addressed in a separate paper (Wuu 2018). However, we also introduce an intermediate "semi-algorithmic" model we call Certificate List-Decoding that bypasses the HomExt bottleneck and works in the alternating vs. arbitrary setting. A certificate list-decoder produces partial homomorphisms that uniquely extend to the homomorphisms in the list.
Cite
@article{arxiv.1806.02969,
title = {List-decoding homomorphism codes with arbitrary codomains},
author = {László Babai and Timothy J. F. Black and Angela Wuu},
journal= {arXiv preprint arXiv:1806.02969},
year = {2018}
}
Comments
Conference version to appear in RANDOM 2018