Schr"odinger Bridge Over A Compact Connected Lie Group
Not on the map. Why?
Abstract (arXiv)
This work studies the Schr"odinger bridge problem for the kinematic equation on a compact connected Lie group. The objective is to steer a controlled diffusion between given initial and terminal densities supported over the Lie group while minimizing the control effort. We develop a coordinate-free formulation of this stochastic optimal control problem that respects the underlying geometric structure of the Lie group, thereby avoiding limitations associated with local parameterizations or embeddings in Euclidean spaces. We establish the existence and uniqueness of solution to the corresponding Schr"odinger system. Our results are constructive in that they derive a geometric controller that optimally interpolates probability densities supported over the Lie group. To illustrate the results, we provide numerical examples on mathsfSO(2) and mathsfSO(3). The codes and animations are publicly available at https://github.com/gradslab/SbpLieGroups.git .
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 32 references that are in the map. First posted on arXiv 14 Mar 2026.
Builds on
11 of 32 references.
References · 11
- 2014On the relation between optimal transport and Schr"odinger bridges: A stochastic control viewpointcited by 99
- 2019Wasserstein Proximal Algorithms for the Schr"odinger Bridge Problem: Density Control with Nonlinear Driftcited by 50
- 2015Entropic and displacement interpolation: a computational approach using the Hilbert metriccited by 34
- 2020Reflected Schr"odinger Bridge: Density Control with Path Constraintscited by 22
- 2024Schr"odinger Bridge with Quadratic State Cost is Exactly Solvablecited by 12
- 2019Finite Horizon Density Steering for Multi-input State Feedback Linearizable Systemscited by 11
- 2023Neural Schr"odinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assemblycited by 10
- 2020Prediction and Optimal Feedback Steering of Probability Density Functions for Safe Automated Drivingcited by 9
- 2025On the Hopf-Cole Transform for Control-affine Schr"odinger Bridgecited by 5
- 2024Optimal Transport on the Lie Group of Roto-translationscited by 4
- 2019Finite Horizon Density Control for Static State Feedback Linearizable Systemscited by 3
Built on by
Citing papers per year: 2026: 2.
2 papers.