On the Hopf-Cole Transform for Control-affine Schr"odinger Bridge
Not on the map. Why?
Abstract (arXiv)
The purpose of this note is to clarify the importance of the relation boldsymbolggtoppropto boldsymbolσσtop in solving control-affine Schr"odinger bridge problems via the Hopf-Cole transform, where boldsymbolg,boldsymbolσ are the control and noise coefficients, respectively. We show that the Hopf-Cole transform applied to the conditions of optimality for generic control-affine Schr"odinger bridge problems, i.e., without the assumption boldsymbolggtopproptoboldsymbolσσtop, gives a pair of forward-backward PDEs that are neither linear nor equation-level decoupled. We explain how the resulting PDEs can be interpreted as nonlinear forward-backward advection-diffusion-reaction equations, where the nonlinearity stem from additional drift and reaction terms involving the gradient of the log-likelihood a.k.a. the score. These additional drift and reaction vanish when boldsymbolggtopproptoboldsymbolσσtop, and the resulting boundary-coupled system of linear PDEs can then be solved by dynamic Sinkhorn recursions. A key takeaway of our work is that the numerical solution of the generic control-affine Schr"odinger bridge requires further algorithmic development, possibly generalizing the dynamic Sinkhorn recursion or otherwise.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 21 of its 60 references that are in the map. First posted on arXiv 22 Mar 2025.
Builds on
21 of 60 references.
References · 21
- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
- 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,101
- 2021Score-based Generative Modeling in Latent Spacecited by 636
- 2013A survey of the Schr"odinger problem and some of its connections with optimal transportcited by 292
- 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
- 2019An Optimal Transport approach for the Schr"odinger bridge problem and convergence of Sinkhorn algorithmcited by 38
- 2015Entropic and displacement interpolation: a computational approach using the Hilbert metriccited by 34
- 2020Reflected Schr"odinger Bridge: Density Control with Path Constraintscited by 22
- 2021The most likely evolution of diffusing and vanishing particles: Schrodinger Bridges with unbalanced marginalscited by 14
- 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
9 more
- 2024Harmonic Path Integral Diffusioncited 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
- 2022A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assemblycited by 9
- 2014Fast cooling for a system of stochastic oscillatorscited by 3
- 2021Stochastic Uncertainty Propagation in Power System Dynamics using Measure-valued Proximal Recursionscited by 3
- 2024Weyl Calculus and Exactly Solvable Schr"odinger Bridges with Quadratic State Costcited by 3
- 2017A geometric perspective on regularized optimal transportcited by 2
- 2013Linear PDEs and eigenvalue problems corresponding to ergodic stochastic optimization problems on compact manifoldscited by 1
Built on by
Citing papers per year: 2026: 5.
5 papers.
- 2026A Generalized Sinkhorn Algorithm for Mean-Field Schr"odinger Bridgecited by 3
- 2026Schr"odinger Bridge Over A Compact Connected Lie Groupcited by 2
- 2026Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schr"odinger Bridge Problemcited by 1
- 2026Schr"odinger Bridges over Kinetic Swarming Modelscited by 0
- 2026On the Equivalence of Stochastic Control and Path Space Formulations for Schr"odinger Bridges over Compact Connected Lie Groupscited by 0
- 2026On the Equivalence of Stochastic Control and Path Space Formulations for Schr"odinger Bridges over Compact Connected Lie Groups12 Sep 2026
- 2026Schr"odinger Bridges over Kinetic Swarming Models26 Aug 2026
- 2026Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schr"odinger Bridge Problem25 Apr 2026
- 2026A Generalized Sinkhorn Algorithm for Mean-Field Schr"odinger Bridge8 Apr 2026
- 2026Schr"odinger Bridge Over A Compact Connected Lie Group14 Mar 2026