Computing normalisers of intransitive groups
Mun See Chang, Christopher Jefferson, Colva M. Roney-Dougal

TL;DR
This paper introduces a faster algorithm for computing normalisers of intransitive groups, significantly improving efficiency for groups with many orbits, and explores the problem's computational complexity.
Contribution
It presents a new, more efficient algorithm for normaliser computation in groups with many orbits and establishes the problem's complexity relation to automorphisms of linear codes.
Findings
New algorithm outperforms previous GAP implementations by many orders of magnitude.
Normaliser problem for G=S_n is as hard as computing monomial automorphisms of linear codes.
Provides complexity insights linking group normalisers to coding theory automorphisms.
Abstract
The normaliser problem takes as input subgroups and of the symmetric group , and asks one to compute . The fastest known algorithm for this problem is simply exponential, whilst more efficient algorithms are known for restricted classes of groups. In this paper, we will focus on groups with many orbits. We give a new algorithm for the normaliser problem for these groups that performs many orders of magnitude faster than previous implementations in GAP. We also prove that the normaliser problem for the special case is at least as hard as computing the group of monomial automorphisms of a linear code over any field of fixed prime order.
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Taxonomy
TopicsCoding theory and cryptography · Finite Group Theory Research · Cooperative Communication and Network Coding
