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Computing the Subgroups of a Permutation Group

Computing the subgroups of a permutation group
Authors: John J. Cannon; Bruce C. Cox; Derek F. Holt;

Computing the Subgroups of a Permutation Group

Abstract

A new method for computing the conjugacy classes of subgroups of a finite permutation group \(G\) is described. The method requires a preliminary calculation and storage of appropriate data of all trivial-Fitting groups (i.e. groups with no nontrivial solvable normal subgroups) of order less than some fixed \(n\); at the time of writing of the paper, this was done for \(n=216000\), producing a database of \(154\) groups. The algorithm consists of two stages. At first, one has to find an appropriate ascending series of normal subgroups of \(G\), \(1=N_0\triangleleft N_1\triangleleft\cdots\triangleleft N_r=L\triangleleft G\), such that \(N_i/N_{i-1}\) is elementary Abelian (for \(i=1,\dots,r\)) and \(G/L\) is trivial-Fitting. Then, \(G/L\) must be explicitly identified with one of the trivial-Fitting groups in the database, obtaining representatives of all the conjugacy classes of subgroups of \(G/L\). The second stage is the successive lifting of such class representatives through the layers, finding class representatives of subgroups of \(G/N_{i-1}\) from those of \(G/N_i\). The paper ends with several examples and performance results of the algorithm as implemented in the algebra system MAGMA.

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Keywords

Algebra and Number Theory, subgroups of permutation groups, Symbolic computation and algebraic computation, Series and lattices of subgroups, finite permutation groups, algorithms, Computational Mathematics, Computational methods (permutation groups), trivial Fitting groups, Software, source code, etc. for problems pertaining to group theory, ascending series of normal subgroups, conjugacy classes of subgroups, Conjugacy classes for groups

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Average
Top 10%
Top 10%
hybrid
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