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We formulate a stochastic generalisation of the Schwinger effect, extending pair production to statistically fluctuating gauge-field backgrounds. Our approach captures realistic field configurations that are transient, inhomogeneous, and…

高能物理 - 理论 · 物理学 2026-03-11 Lucas Vicente García-Consuegra , Azadeh Maleknejad

This paper proposes an original Riemmanian geometry for low-rank structured elliptical models, i.e., when samples are elliptically distributed with a covariance matrix that has a low-rank plus identity structure. The considered geometry is…

The real symplectic Stiefel manifold is the manifold of symplectic bases of symplectic subspaces of a fixed dimension. It features in a large variety of applications in physics and engineering. In this work, we study this manifold with the…

微分几何 · 数学 2021-08-31 Thomas Bendokat , Ralf Zimmermann

The purpose of this report is to acknowledge the influence of M. Gromov's vision of geometry on our own works. It is two-fold: in the first part we aim at describing some results, in dimension 3, around the question: which open 3-manifolds…

微分几何 · 数学 2021-09-23 Gerard Besson , Sylvestre Gallot

This paper considers a stochastic optimization problem over the fixed point sets of quasinonexpansive mappings on Riemannian manifolds. The problem enables us to consider Riemannian hierarchical optimization problems over complicated sets,…

最优化与控制 · 数学 2020-12-18 Hideaki Iiduka , Hiroyuki Sakai

In this work, we establish the existence of solutions to stochastic differential equations on the Wasserstein space over a closed Riemannian manifold, under suitable regularity assumptions on the driving vector fields. Interpreting the…

概率论 · 数学 2026-03-02 Aymeric Martin

We present an extended version of Riemannian geometry suitable for the description of current formulations of double field theory (DFT). This framework is based on graded manifolds and it yields extended notions of symmetries, dynamical…

高能物理 - 理论 · 物理学 2018-07-03 Andreas Deser , Christian Saemann

We present a Bayesian non-parametric way of inferring stochastic differential equations for both regression tasks and continuous-time dynamical modelling. The work has high emphasis on the stochastic part of the differential equation, also…

机器学习 · 统计学 2020-06-29 Martin Jørgensen , Marc Peter Deisenroth , Hugh Salimbeni

Three algorithms are developed for uncertainty quantification in modeling coupled Stokes and Darcy flows. The porous media may consist of multiple regions with different properties. The permeability is modeled as a non-stationary stochastic…

数值分析 · 数学 2019-03-05 Ilona Ambartsumyan , Eldar Khattatov , ChangQing Wang , Ivan Yotov

It is developed a Riemannian reformulation of classical statistical mechanics for systems in thermodynamic equilibrium, which arises as a natural extension of Ruppeiner geometry of thermodynamics. The present proposal leads to interpret…

统计力学 · 物理学 2010-11-19 L Velazquez

We survey geometric properties which imply the stochastic incompleteness of the minimal diffusion process associated to the Laplacian on manifolds and graphs. In particular, we completely characterize stochastic incompleteness for…

数学物理 · 物理学 2009-10-30 Radoslaw Krzysztof Wojciechowski

In this article we derive moment estimates, exponential integrability, concentration inequalities and exit times estimates for canonical diffusions in two settings each beyond the scope of Riemannian geometry. Firstly, we consider…

概率论 · 数学 2020-02-24 Anton Thalmaier , James Thompson

We prove a theorem that generalizes Schmidt's Subspace Theorem in the context of metric diophantine approximation. To do so we reformulate the Subspace theorem in the framework of homogeneous dynamics by introducing and studying a slope…

数论 · 数学 2021-02-08 Emmanuel Breuillard , Nicolas de Saxcé

Learning the distribution of data on Riemannian manifolds is crucial for modeling data from non-Euclidean space, which is required by many applications in diverse scientific fields. Yet, existing generative models on manifolds suffer from…

机器学习 · 计算机科学 2024-06-04 Jaehyeong Jo , Sung Ju Hwang

Despite the success of diffusion models (DMs), we still lack a thorough understanding of their latent space. While image editing with GANs builds upon latent space, DMs rely on editing the conditions such as text prompts. We present an…

计算机视觉与模式识别 · 计算机科学 2023-02-27 Yong-Hyun Park , Mingi Kwon , Junghyo Jo , Youngjung Uh

A stochastic algorithm is proposed, finding the set of generalized means associated to a probability measure on a compact Riemannian manifold M and a continuous cost function on the product of M by itself. Generalized means include p-means…

概率论 · 数学 2013-05-28 Marc Arnaudon , Laurent Miclo

Nonlinear analysis has played a prominent role in the recent developments in geometry and topology. The study of the Yang-Mills equation and its cousins gave rise to the Donaldson invariants and more recently, the Seiberg-Witten invariants.…

微分几何 · 数学 2007-05-23 Gang Tian

We prove some finiteness results for discrete isometry groups $\Gamma$ of uniformly packed CAT$(0)$-spaces $X$ with uniformly bounded codiameter (up to group isomorphism), and for CAT$(0)$-orbispaces $M = \Gamma \backslash X$ (up to…

群论 · 数学 2024-05-01 Nicola Cavallucci , Andrea Sambusetti

In this paper we study collapsing sequences M_{i}-> X of Riemannian manifolds with curvature bounded or bounded away from a controlled subset. We introduce a structure over X which in an appropriate sense is dual to the N-structure of…

微分几何 · 数学 2009-06-26 Aaron Naber , Gang Tian

This paper is a review of results which have been recently obtained by applying mathematical concepts drawn, in particular, from differential geometry and topology, to the physics of Hamiltonian dynamical systems with many degrees of…

统计力学 · 物理学 2009-10-31 Lapo Casetti , Marco Pettini , E. G. D. Cohen