Certifying Numerical Decompositions of Compact Group Representations
Felipe Montealegre-Mora, Denis Rosset, Jean-Daniel Bancal, David Gross

TL;DR
This paper introduces a rigorous, efficient algorithm for certifying that matrices approximate projections onto irreducible subspaces in group representations, improving reliability and performance over existing heuristics.
Contribution
The authors develop a new certification algorithm with proven guarantees for compact groups, reducing computational complexity and interfacing with existing software like RepLAB.
Findings
The algorithm provides rigorous certification guarantees for group representation decompositions.
Complexity is reduced to O(max{n^3 log n, D d^2 log d}) compared to previous methods.
Implementation demonstrates practical efficiency and integration with existing tools.
Abstract
We present a performant and rigorous algorithm for certifying that a matrix is close to being a projection onto an irreducible subspace of a given group representation. This addresses a problem arising when one seeks solutions to semi-definite programs (SDPs) with a group symmetry. Indeed, in this context, the dimension of the SDP can be significantly reduced if the irreducible representations of the group action are explicitly known. Rigorous numerical algorithms for decomposing a given group representation into irreps are known, but fairly expensive. To avoid this performance problem, existing software packages -- e.g. RepLAB, which motivated the present work -- use randomized heuristics. While these seem to work well in practice, the problem of to which extent the results can be trusted arises. Here, we provide rigorous guarantees applicable to finite and compact groups, as well as a…
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Taxonomy
TopicsAdvanced Algebra and Geometry · Topological and Geometric Data Analysis · Advanced Topics in Algebra
