Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 11 min ago
PreprintCC BY 4.0arXiv

On the Equivalence of Stochastic Control and Path Space Formulations for Schrödinger Bridges over Compact Connected Lie Groups

Abstract

We establish the equivalence between the stochastic optimal control and path space formulations of the Schrödinger bridge problem (SBP) for the kinematic equation on a compact connected Lie group. Using the geometric concepts of horizontal lift and stochastic anti-development, we derive a Girsanov-type change-of-measure result, and show that the expected control energy equals the relative entropy of the controlled path law with respect to the reference Wiener measure. Thus, the SBP is equivalently a path space relative entropy minimization problem subject to prescribed endpoint marginals.Our result has three useful implications. From an analytic viewpoint, the shown equivalence helps prove the existence and uniqueness of the SB. From a probabilistic viewpoint, it helps interpret the SB as the most probable deviation of the uncontrolled stochastic dynamics consistent with the endpoint constraints. From a computational viewpoint, it allows using static Sinkhorn recursions to directly solve the relative entropy minimization problem and compute the optimal path measure. We illustrate the equivalence numerically on the torus 𝕋2. The code is publicly available at: https://github.com/gradslab/LargeDeviationSBP

Related

  1. Well-Posedness of Stochastic Mean-Field Schrödinger Porous-Medium Equations and Control of Their Modal Reductions
    Gabriel Brehuescu, Dan Goreac
    HALPreprintCC BY-NC-ND 4.0Full textGeneral mathematicsHAL
  2. Degree-list Kempe equivalence for 3-connected graphs
    Hongyang Wang
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  3. Global Energy Solutions for Normalized Linear Stochastic Schrödinger Equations
    Théo Hérouard
    HALPreprintCC BY 4.0Full textAnalysis & PDEsMathematical physicsHALarXiv
  4. Stochastic Homogenization of Schrödinger Equations with Exponentially Mixing Sub-Gaussian Potentials
    Fanfei Meng
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsProbabilityarXiv
  5. Model Predictive Control of Wind Turbines: A Model-Oriented Review of Prediction Models, Control Objectives, and Nonlinear Aerodynamic Formulations
    Roya Khalili-Amirabadi, Mohsen Jalaeian-Farimani, Mahdi Ghane
    arXivPreprintCC BY 4.0Full textDynamical systemsOptimisation & controlarXiv
BibTeX
@misc{mahmood2026equivalence,
  title = {{On the Equivalence of Stochastic Control and Path Space Formulations for Schrödinger Bridges over Compact Connected Lie Groups}},
  author = {Hamza Mahmood and Georgiy A. Bondar and Abhishek Halder and Adeel Akhtar},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.13758},
  eprint = {2609.13758},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.13758},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - On the Equivalence of Stochastic Control and Path Space Formulations for Schrödinger Bridges over Compact Connected Lie Groups
AU  - Hamza Mahmood
AU  - Georgiy A. Bondar
AU  - Abhishek Halder
AU  - Adeel Akhtar
PY  - 2026
DA  - 2026/09/12
PB  - arXiv
DO  - 10.48550/arxiv.2609.13758
UR  - https://arxiv.org/abs/2609.13758
AB  - We establish the equivalence between the stochastic optimal control and path space formulations of the Schrödinger bridge problem (SBP) for the kinematic equation on a compact connected Lie group. Using the geometric concepts of horizontal lift and stochastic anti-development, we derive a Girsanov-type change-of-measure result, and show that the expected control energy equals the relative entropy of the controlled path law with respect to the reference Wiener measure. Thus, the SBP is equivalently a path space relative entropy minimization problem subject to prescribed endpoint marginals.Our result has three useful implications. From an analytic viewpoint, the shown equivalence helps prove the existence and uniqueness of the SB. From a probabilistic viewpoint, it helps interpret the SB as the most probable deviation of the uncontrolled stochastic dynamics consistent with the endpoint constraints. From a computational viewpoint, it allows using static Sinkhorn recursions to directly solve the relative entropy minimization problem and compute the optimal path measure. We illustrate the equivalence numerically on the torus 𝕋^2. The code is publicly available at: https://github.com/gradslab/LargeDeviationSBP
ER  -