Homomorphism Extension

TL;DR

This paper introduces the Homomorphism Extension problem, analyzing its complexity in various cases, and provides polynomial-time solutions for specific group structures relevant to coding theory.

Contribution

It characterizes the extension problem for symmetric and alternating groups, offering polynomial-time algorithms under certain conditions, advancing understanding in computational group theory and coding.

Findings

Polynomial-time solution for bounded G cases

Extension characterization via subset-sum problem

Efficient algorithms for G=A_n with bounded index

Abstract

We define the Homomorphism Extension (HomExt) problem: given a group $G$, a subgroup $M \leq G$ and a homomorphism $\varphi: M \to H$, decide whether or not there exists a homomorphism $\widetilde{\varphi}: G\to H$ extending $\varphi$, i.e., $\widetilde{\varphi}|_M = \varphi$. This problem arose in the context of list-decoding homomorphism codes but is also of independent interest, both as a problem in computational group theory and as a new and natural problem in NP of unsettled complexity status. We consider the case $H=S_m$ (the symmetric group of degree $m$), i.e., $\varphi : G \to H$ is a $G$-action on a set of $m$ elements. We assume $G\le S_n$ is given as a permutation group by a list of generators. We characterize the equivalence classes of extensions in terms of a multidimensional oracle subset-sum problem. From this we infer that for bounded $G$ the HomExt problem can be solved in polynomial time. Our main result concerns the case $G=A_n$ (the alternating group of degree $n$) for variable $n$ under the assumption that the index of $M$ in $G$ is bounded by poly$(n)$. We solve this case in polynomial time for all $m < 2^{n-1}/\sqrt{n}$. This is the case with direct relevance to homomorphism codes (Babai, Black, and Wuu, arXiv 2018); it is used as a component of one of the main algorithms in that paper.