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Conference Papers Year : 2023

Geometry-preserving lie group integrators for differential equations on the manifold of symmetric positive definite matrices

Abstract

In many applications, one encounters signals that lie on manifolds rather than a Euclidean space. In particular, covariance matrices are examples of ubiquitous mathematical objects that have a non Euclidean structure. The application of Euclidean methods to integrate differential equations lying on such objects does not respect the geometry of the manifold, which can cause many numerical issues. In this paper, we propose to use Lie group methods to define geometry-preserving numerical integration schemes on the manifold of symmetric positive definite matrices. These can be applied to a number of differential equations on covariance matrices of practical interest. We show that they are more stable and robust than other classical or naive integration schemes on an example.
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Dates and versions

hal-03815325 , version 1 (14-10-2022)
hal-03815325 , version 2 (24-10-2022)
hal-03815325 , version 3 (17-07-2023)

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Lucas Drumetz, Alexandre Reiffers-Masson, Naoufal El Bekri, Franck Vermet. Geometry-preserving lie group integrators for differential equations on the manifold of symmetric positive definite matrices. GSI 2023 - 6th International Conference on Geometric Science of Information 23, Aug 2023, Saint Malo, France. pp.1-18. ⟨hal-03815325v3⟩
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