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We establish sharp-in-time kernel and dispersive estimates for the Schr\"odinger equation on non-compact Riemannian symmetric spaces of any rank. Due to the particular geometry at infinity and the Kunze-Stein phenomenon, these properties…

Analysis of PDEs · Mathematics 2023-02-14 Jean-Philippe Anker , Stefano Meda , Vittoria Pierfelice , Maria Vallarino , Hong-Wei Zhang

We prove optimal pointwise Schauder estimates in the spatial variables for solutions of linear parabolic integro-differential equations. Optimal H\"older estimates in space-time for those spatial derivatives are also obtained.

Analysis of PDEs · Mathematics 2015-06-05 Tianling Jin , Jingang Xiong

In this paper we first establish global pointwise time-space estimates of the fundamental solution for Schr\"odinger equations, where the symbol of the spatial operator is a real non-degenerate elliptic polynomial. Then we use such…

Analysis of PDEs · Mathematics 2015-06-09 JinMyong Kim , Anton Arnold , Xiaohua Yao

In this paper, we establish refined Strichartz estimates for higher-order Schr\"odinger equations with initial data exhibiting partial regularity. By partial regularity, we mean that the initial data are not required to have full Sobolev…

Analysis of PDEs · Mathematics 2025-08-22 Vishvesh Kumar , Shyam Swarup Mondal , Iswarya Sitiraju , Manli Song

This paper provides a rigorous derivation of a counterexample of Bourgain, related to a well-known question of pointwise a.e. convergence for the solution of the linear Schr\"odinger equation, for initial data in a Sobolev space. This…

Classical Analysis and ODEs · Mathematics 2020-11-02 Lillian B. Pierce

The endpoint Strichartz estimates for two-dimensional Schrodinger equations were recovered by averaging the solutions in L^2 in the angular variable by Tao. For Schrodinger equations with defocusing inverse square potential, we proved that…

Analysis of PDEs · Mathematics 2008-11-25 I-Kun Chen

The integrating factor technique is widely used to solve numerically (in particular) the Schr\"odinger equation in the context of spectral methods. Here, we present an improvement of this method exploiting the freedom provided by the gauge…

Analysis of PDEs · Mathematics 2023-02-14 Martino Lovisetto , D Clamond , B Marcos

We prove a sharp bilinear inequality for the Klein-Gordon equation on $\sr^{d+1}$, for any $d \geq 2$. This extends work of Ozawa-Rogers and Quilodr\'an for the Klein-Gordon equation and generalises work of Bez-Rogers for the wave equation.…

Analysis of PDEs · Mathematics 2013-02-22 Chris Jeavons

In the first part of the paper we continue the study of solutions to Schr\"odinger equations with a time singularity in the dispersive relation and in the periodic setting. In the second we show that if the Schr\"odinger operator involves a…

Analysis of PDEs · Mathematics 2022-01-14 Serena Federico , Gigliola Staffilani

The present paper is concerned with Schr\"odinger equations with variable coefficients and unbounded electromagnetic potentials, where the kinetic energy part is a long-range perturbation of the flat Laplacian and the electric (resp.…

Analysis of PDEs · Mathematics 2016-01-20 Haruya Mizutani

We study the dispersive properties of the Schr\"odinger equation. Precisely, we look for estimates which give a control of the local regularity and decay at infinity {\it separately}. The Banach spaces that allow such a treatment are the…

Analysis of PDEs · Mathematics 2016-06-28 E. Cordero , F. Nicola

Our main result is an estimate for a sharp maximal function, which implies a Keith-Zhong type self-improvement property of Poincar\'e inequalities related to differentiable structures on metric measure spaces. As an application, we give…

Classical Analysis and ODEs · Mathematics 2017-05-16 Juha Kinnunen , Juha Lehrbäck , Antti V. Vähäkangas , Xiao Zhong

The endpoint Strichartz estimates for the Schr\"odinger equation are known to be false in two dimensions. However, if one averages the solution in $L^2$ in the angular variable, we show that the homogeneous endpoint and the retarded…

Analysis of PDEs · Mathematics 2007-05-23 Terence Tao

We show convergence of the gradients of the Schr\"odinger potentials to the Brenier map in the small-time limit under general assumptions on the marginals, which allow for unbounded densities and supports. Furthermore, we provide novel…

Probability · Mathematics 2023-04-18 Alberto Chiarini , Giovanni Conforti , Giacomo Greco , Luca Tamanini

The initial value problem for the homogeneous Schr\"odinger equation is investigated for radially symmetric initial data with slow decay rates and not too wild oscillations. Our global wellposedness results apply to initial data for which…

Analysis of PDEs · Mathematics 2020-05-27 Rainer Mandel

In this paper we propose fast solution methods for the Cauchy problem for the multidimensional Schr\"odinger equation. Our approach is based on the approximation of the data by the basis functions introduced in the theory of approximate…

Numerical Analysis · Mathematics 2016-10-28 Flavia Lanzara , Vladimir Maz'ya , Gunther Schmidt

In this paper we prove the orthonormal Strichartz estimates for the higher order and fractional Schr\"odinger, wave, Klein-Gordon and Dirac equations with potentials. As in the case of the Schr\"odinger operator, the proofs are based on the…

Analysis of PDEs · Mathematics 2024-01-18 Akitoshi Hoshiya

We establish new Strichartz estimates for orthonormal systems on compact Riemannian manifolds in the non-sharp admissible region of exponents, covering wave, Klein-Gordon, and fractional Schr\"odinger equations. Our approach combines the…

Classical Analysis and ODEs · Mathematics 2026-05-12 Hongzhou Ji , Liping Xu , An Zhang

For the solution of the free Schr\"odinger equation, we obtain the optimal constants and characterise extremisers for forward and reverse smoothing estimates which are global in space and time, contain a homogeneous and radial weight in the…

Analysis of PDEs · Mathematics 2014-09-23 Neal Bez , Mitsuru Sugimoto

We propose a procedure for estimating the Schr\"odinger bridge between two probability distributions. Unlike existing approaches, our method does not require iteratively simulating forward and backward diffusions or training neural networks…

Machine Learning · Statistics 2024-08-22 Aram-Alexandre Pooladian , Jonathan Niles-Weed