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Related papers: An introduction to Coupling

200 papers

The infinite reduction of couplings is a tool to consistently renormalize a wide class of non-renormalizable theories with a reduced, eventually finite, set of independent couplings, and classify the non-renormalizable interactions. Several…

High Energy Physics - Theory · Physics 2009-11-11 Damiano Anselmi , Milenko Halat

Controlling the $\mathcal W_\infty$ Wasserstein distance by the $\mathcal W_p$ Wasserstein distance is interesting both for theorical and numerical applications. A first paper on this problem was written several years ago [3]. Some year…

Optimization and Control · Mathematics 2026-01-22 Luigi De Pascale , Igor Pinheiro

The Coupled-Cluster theory is one of the most successful high precision methods used to solve the stationary Schr\"odinger equation. In this article, we address the mathematical foundation of this theory with focus on the advances made in…

Chemical Physics · Physics 2019-09-04 Andre Laestadius , Fabian M. Faulstich

We study a Markov process with two components: the first component evolves according to one of finitely many underlying Markovian dynamics, with a choice of dynamics that changes at the jump times of the second component. The second…

Probability · Mathematics 2015-04-14 Bertrand Cloez , Martin Hairer

An analogue of the quadratic Wasserstein (or Monge-Kantorovich) distance between Borel probability measures on $\mathbf{R}^d$ has been defined in [F. Golse, C. Mouhot, T. Paul: Commun. Math. Phys. 343 (2015), 165-205] for density operators…

Mathematical Physics · Physics 2021-02-10 Emanuele Caglioti , François Golse , Thierry Paul

The aim of this paper is to investigate the contraction properties of $p$-Wasserstein distances with respect to convolution in Euclidean spaces both qualitatively and quantitatively. We connect this question to the question of uniform…

Analysis of PDEs · Mathematics 2025-12-05 Max Fathi , Michael Goldman , Daniel Tsodyks

In this paper we introduce a Wasserstein-type distance on the set of Gaussian mixture models. This distance is defined by restricting the set of possible coupling measures in the optimal transport problem to Gaussian mixture models. We…

Optimization and Control · Mathematics 2020-06-15 Julie Delon , Agnes Desolneux

Causal optimal transport and adapted Wasserstein distance have applications in different fields from optimization to mathematical finance and machine learning. The goal of this article is to provide equivalent formulations of these concepts…

Probability · Mathematics 2024-07-01 Mathias Beiglböck , Susanne Pflügl , Stefan Schrott

The matching problem is a notorious combinatorial optimization problem that has attracted for many years the attention of the statistical physics community. Here we analyze the Euclidean version of the problem, i.e. the optimal matching…

Disordered Systems and Neural Networks · Physics 2017-01-11 Carlo Lucibello , Giorgio Parisi , Gabriele Sicuro

We propose the use of two point Pade approximants to find expressions valid uniformly in coupling constant for theories with both weak and strong coupling expansions. In particular, one can use these approximants in models with a…

High Energy Physics - Theory · Physics 2013-08-15 Tom Banks , T. J. Torres

We continue the study of adapted optimal transport in the discrete-time Gaussian setting. To this end, we introduce a space of filtered Gaussian processes where both the randomness and the flow of information are driven by a Gaussian white…

Probability · Mathematics 2026-04-27 Madhu Gunasingam , Ting-Kam Leonard Wong

We present a novel form of relativistic quantum mechanics and demonstrate how to solve it using a recently derived unitary perturbation theory, within partial wave analysis. The theory is tested on a relativistic problem, with two spinless,…

Quantum Physics · Physics 2021-08-11 Scott E. Hoffmann

There are many Markov chains on infinite dimensional spaces whose one-step transition kernels are mutually singular when starting from different initial conditions. We give results which prove unique ergodicity under minimal assumptions on…

Probability · Mathematics 2009-08-20 Martin Hairer , Jonathan C. Mattingly , Michael Scheutzow

This paper studies contraction theory with the aim of exploring complete synchronization phenomenon in complex networks of coupled oscillators. We examine the conditions for complete synchronization in three network topologies: all-to-all,…

Adaptation and Self-Organizing Systems · Physics 2024-09-04 Brian Y Zhang , Masoud Asadi-Zeydabadi , Randall Tagg

We study the construction and convergence of decoupling multistep schemes of higher order using the backward differentiation formulae for an elliptic-parabolic problem, which includes multiple-network poroelasticity as a special case. These…

Numerical Analysis · Mathematics 2025-07-14 Robert Altmann , Abdullah Mujahid , Benjamin Unger

In this note we introduce a new model for the mailing problem in branched transportation in order to allow the cost functional to take into account the orientation of the moving particles. This gives an effective answer to [Problem 15.9] of…

Analysis of PDEs · Mathematics 2020-06-30 Marcello Carioni , Andrea Marchese , Annalisa Massaccesi , Alessandra Pluda , Riccardo Tione

It is well known that the Poisson-Boltzmann (PB) equation yields the exact counterion density around charged objects in the weak coupling limit. In this paper we generalize the PB approach to account for coupling of arbitrary strength by…

Soft Condensed Matter · Physics 2007-05-23 V. Garcia-Morales , J. Cervera , J. Pellicer

This paper develops a novel operator theoretic framework to study the contraction properties of Markov semigroups with respect to a general class of Kantorovich semi-distances, which notably includes Wasserstein distances. The rather simple…

Probability · Mathematics 2026-03-04 Pierre Del Moral , Mathieu Gerber

We introduce two abstract theorems that reduce a variety of complex exponential distributional approximation problems to the construction of couplings. These are applied to obtain new rates of convergence with respect to the Wasserstein and…

Probability · Mathematics 2011-03-15 Erol A. Peköz , Adrian Röllin

The convergence to the stationary regime is studied for Stochastic Differential Equations driven by an additive Gaussian noise and evolving in a semi-contractive environment, i.e. when the drift is only contractive out of a compact set but…

Probability · Mathematics 2020-06-04 Fabien Panloup , Alexandre Richard