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Schr\"odinger equations with nonlinearities concentrated in some regions of space are good models of various physical situations and have interesting mathematical properties. We show that in the semiclassical limit it is possible to…

Condensed Matter · Physics 2015-06-25 Giovanni Jona-Lasinio , Carlo Presilla , Johannes Sjöstrand

We study stochastic density control between Gaussian-mixture endpoint distributions under Brownian prior dynamics. Since the direct Schr\"odinger bridge between Gaussian mixtures is generally not available in closed form, we introduce a…

Optimization and Control · Mathematics 2026-05-26 Siddhartha Ganguly , George Rapakoulias , Panagiotis Tsiotras

The subject of this work has its roots in the so called Schroedginer Bridge Problem (SBP) which asks for the most likely distribution of Brownian particles in their passage between observed empirical marginal distributions at two distinct…

Systems and Control · Computer Science 2016-08-15 Yongxin Chen , Tryphon T. Georgiou , Michele Pavon

Leveraging connections between diffusion-based sampling, optimal transport, and stochastic optimal control through their shared links to the Schr\"odinger bridge problem, we propose novel objective functions that can be used to transport…

Machine Learning · Statistics 2024-10-11 Qijia Jiang , David Nabergoj

It is common practice to approximate a weakly nonlinear wave equation through a kinetic transport equation, thus raising the issue of controlling the validity of the kinetic limit for a suitable choice of the random initial data. While for…

Mathematical Physics · Physics 2011-01-28 Jani Lukkarinen , Herbert Spohn

Over the last several years, there has been significant progress in developing neural solvers for the Schr\"odinger Bridge (SB) problem and applying them to generative modelling. This new research field is justifiably fruitful as it is…

We show that the Schroedinger equation is a lift of Newton's law of motion on the space of probability measures, where derivatives are taken w.r.t. the Wasserstein Riemannian metric. Here the potential is the sum of the total classical…

Mathematical Physics · Physics 2009-03-12 Max-K. von Renesse

We consider a two-dimensional nonlinear Schr{\"o}dinger equation proposed in Physics to model rotational binary Bose-Einstein condensates. The nonlinearity is a logarithmic modification of the usual cubic nonlinearity. The presence of both…

Analysis of PDEs · Mathematics 2023-12-04 Rémi Carles , Van Duong Dinh , Hichem Hajaiej

We use the Wigner transformation and asymptotic analysis to systematically derive the semi-classical model for the Schr\"{o}dinger equation in arbitrary spatial dimensions, with any periodic structure. Our particular emphasis lies in…

Mathematical Physics · Physics 2024-11-11 Kunlun Qi , Li Wang , Alexander B. Watson

The discrete one-dimensional Schr\"odinger operator is studied in the finite interval of length $N=2 M$ with the Dirichlet boundary conditions and an arbitrary potential even with respect to the spacial reflections. It is shown, that the…

Mathematical Physics · Physics 2014-04-18 Sergei B. Rutkevich

We introduce a novel approximation to the same marginal Schr\"{o}dinger bridge using the Langevin diffusion. As $\varepsilon \downarrow 0$, it is known that the barycentric projection (also known as the entropic Brenier map) of the…

Probability · Mathematics 2026-04-06 Medha Agarwal , Zaid Harchaoui , Garrett Mulcahy , Soumik Pal

Computational optimal transport (OT) has recently emerged as a powerful framework with applications in various fields. In this paper we focus on a relaxation of the original OT problem, the entropic OT problem, which allows to implement…

Probability · Mathematics 2025-10-06 Giacomo Greco , Maxence Noble , Giovanni Conforti , Alain Durmus

We analyze a number of natural estimators for the optimal transport map between two distributions and show that they are minimax optimal. We adopt the plugin approach: our estimators are simply optimal couplings between measures derived…

Statistics Theory · Mathematics 2024-06-18 Tudor Manole , Sivaraman Balakrishnan , Jonathan Niles-Weed , Larry Wasserman

We develop Brenier theorems on iterated Wasserstein spaces. For a separable Hilbert space $H$ and $N\geq 1$, we construct a full-support probability $\Lambda$ on $P_2^{N}(H)= P_2(... P_2(H)...)$ that is transport regular: for every $Q$ with…

Probability · Mathematics 2025-10-27 Mathias Beiglböck , Gudmund Pammer , Stefan Schrott

We establish Strichartz estimates for the Schr\"odinger equation on Riemannian manifolds $(\Omega,\g)$ with boundary, for both the compact case and the case that $\Omega$ is the exterior of a smooth, non-trapping obstacle in Euclidean…

Analysis of PDEs · Mathematics 2011-12-23 Matthew D. Blair , Hart F. Smith , Christopher D. Sogge

Schr\"odinger equation with given, {\it a priori} known current is formulated. A non-zero current density is maintained in the quantum system via a subsidiary condition imposed by vector, local Lagrange multiplier. Constrained minimization…

Condensed Matter · Physics 2009-11-07 D. S. Kosov

The non-asymptotic analysis of Stochastic Gradient Descent (SGD) typically yields bounds that decompose into a bias term and a variance term. In this work, we focus on the bias component and study the extent to which SGD can match the…

Optimization and Control · Mathematics 2026-02-02 Daniel Cortild , Lucas Ketels , Juan Peypouquet , Guillaume Garrigos

We consider solutions of the time-dependent Schr\"odinger equation for a potential localised at the points of a Poisson process. We prove convergence of the phase-space distribution in the annealed Boltzmann-Grad limit to a semiclassical…

Mathematical Physics · Physics 2023-03-10 Søren Mikkelsen

We study the small-time approximate controllability of bilinear Schr{\"o}dinger equations, where the drift is a magnetic Schr{\"o}dinger operator and the control is an electric potential. We prove this property in two circumstances: (i) in…

Analysis of PDEs · Mathematics 2026-05-25 Eugenio Pozzoli

Quadratic regularization has emerged as a potential alternative to the popular entropic regularization in computational optimal transport, offering the theoretical advantage of producing sparse couplings through its hinge density structure.…

Optimization and Control · Mathematics 2026-05-27 Long Nguyen-Chi , Nam Nguyen , Binh Nguyen