most citedThe strong approximation theorem and computing with linear groups

3 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

math.GR2019

Algorithms for computing with nilpotent matrix groups over infinite domains

A. S. Detinko, D. L. Flannery

We develop methods for computing with matrix groups defined over a range of infinite domains, and apply those methods to the design of algorithms for nilpotent groups. In particula…

math.GR2019

Algorithms for arithmetic groups with the congruence subgroup property

A. S. Detinko, D. L. Flannery, A. Hulpke

We develop practical techniques to compute with arithmetic groups for . Our approach relies on constructing a principal congruence subgroup i…

math.GR2019

Deciding finiteness of matrix groups in positive characteristic

A. S. Detinko, D. L. Flannery, E. A. O'Brien

We present a new algorithm to decide finiteness of matrix groups defined over a field of positive characteristic. Together with previous work for groups in zero characteristic, thi…

math.GR2019

Algorithms for the Tits alternative and related problems

A. S. Detinko, D. L. Flannery, E. A. O'Brien

We present an algorithm that decides whether a finitely generated linear group over an infinite field is solvable-by-finite: a computationally effective version of the Tits alterna…

math.GR2019

Recognizing finite matrix groups over infinite fields

A. S. Detinko, D. L. Flannery, E. A. O'Brien

We present a uniform methodology for computing with finitely generated matrix groups over any infinite field. As one application, we completely solve the problem of deciding finite…

math.GR2019

Algorithms for linear groups of finite rank

A. S. Detinko, D. L. Flannery, E. A. O'Brien

Let be a finitely generated solvable-by-finite linear group. We present an algorithm to compute the torsion-free rank of and a bound on the Prüfer rank of . This yields…