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In this paper we consider splitting methods for nonlinear ordinary differential equations in which one of the (partial) flows that results from the splitting procedure can not be computed exactly. Instead, we insert a well-chosen state…

Numerical Analysis · Mathematics 2014-05-27 Lukas Einkemmer , Alexander Ostermann

Probabilistic integration of a continuous dynamical system is a way of systematically introducing model error, at scales no larger than errors introduced by standard numerical discretisation, in order to enable thorough exploration of…

Numerical Analysis · Mathematics 2019-10-29 H. C. Lie , A. M. Stuart , T. J. Sullivan

This work proposes and analyzes an efficient numerical method for solving the nonlinear Schr\"odinger equation with quasiperiodic potential, where the projection method is applied in space to account for the quasiperiodic structure and the…

Numerical Analysis · Mathematics 2024-11-12 Kai Jiang , Shifeng Li , Xiangcheng Zheng

In this work, we consider the numerical integration of the nonlinear Dirac equation and the Dirac-Poisson system (NDEs) under rough initial data. We propose a ultra low-regularity integrator (ULI) for solving the NDEs which enables optimal…

Numerical Analysis · Mathematics 2019-06-25 Katharina Schratz , Yan Wang , Xiaofei Zhao

Probabilistic solvers provide a flexible and efficient framework for simulation, uncertainty quantification, and inference in dynamical systems. However, like standard solvers, they suffer performance penalties for certain stiff systems,…

Numerical Analysis · Mathematics 2023-12-20 Nathanael Bosch , Philipp Hennig , Filip Tronarp

Fractional Pontryagin's systems emerge in the study of a class of fractional optimal control problems but they are not resolvable in most cases. In this paper, we suggest a numerical approach for these fractional systems. Precisely, we…

Optimization and Control · Mathematics 2012-03-09 Loïc Bourdin

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

In this work, we introduce a quadratically convergent and dynamically consistent integrator specifically designed for the replicator dynamics. The proposed scheme combines a two-stage rational approximation with a normalization step to…

Numerical Analysis · Mathematics 2025-11-03 Mario Pezzella

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

We propose a new approach that allows one to reduce nonlinear equations on Lie groups to equations with a fewer number of independent variables for finding particular solutions of the nonlinear equations. The main idea is to apply the…

Mathematical Physics · Physics 2022-08-17 A. I. Breev , A. V. Shapovalov , D. M. Gitman

A practical and simple stable method for calculating Fourier integrals is proposed, effective both at low and at high frequencies. An approach based on the fruitful idea of Levin, to use of the collocation method to approximate the slowly…

Numerical Analysis · Mathematics 2021-04-09 Leonid A. Sevastianov , Konstantin P. Lovetskiy , Dmitry S. Kulyabov

In this paper, we derive a strong convergence rate of spatial finite difference approximations for both focusing and defocusing stochastic cubic Schr\"odinger equations driven by a multiplicative $Q$-Wiener process. Beyond the uniform…

Probability · Mathematics 2017-03-29 Jianbo Cui , Jialin Hong , Zhihui Liu

In this paper a nonlinear coupled Schrodinger system in the presence of mixed cubic and superlinear power laws is considered. A non standard numerical method is developed to approximate the solutions in higher dimensional case. The idea…

Numerical Analysis · Mathematics 2018-05-16 Abdurahman F. Aljohani , Anouar Ben Mabrouk

The principle of finding an integrating factor for a none exact differential equations is extended to a class of third order differential equations. If the third order equation is not exact, under certain conditions, an integrating factor…

Classical Analysis and ODEs · Mathematics 2017-06-21 Mohammadkheer Al-Jararha

In this paper, we conduct rigorous error analysis of the Lie-Totter time-splitting Fourier spectral scheme for the nonlinear Schr\"odinger equation with a logarithmic nonlinear term $f(u)=u\ln|u|^2$ (LogSE) and periodic boundary conditions…

Numerical Analysis · Mathematics 2024-01-05 Xiaolong Zhang , Li-Lian Wang

In this paper, we consider the error analysis of a conservative Fourier pseudo-spectral method that conserves mass and energy for the space fractional nonlinear Schr\"{o}dinger equation. We give a new fractional Sobolev norm that can…

Analysis of PDEs · Mathematics 2019-10-24 Zhuangzhi Xu , Wenjun Cai , Chaolong Jiang , Yushun Wang

The Fourier transforms of the products of two respectively three solutions of the free Schroedinger equation in one space dimension are estimated in mixed and, in the first case weighted, L^p - norms. Inserted into an appropriate variant of…

Analysis of PDEs · Mathematics 2007-05-23 Axel Gruenrock

In this work we introduce a new family of 14-steps linear multistep methods for the integration of the Schr\"odinger equation. The new methods are phase fitted but they are designed in order to improve the frequency tolerance. This is…

Numerical Analysis · Mathematics 2008-11-18 D. S. Vlachos , Z. A. Anastassi , T. E. Simos

In this paper we propose a modified Lie-type spectral splitting approximation where the external potential is of quadratic type. It is proved that we can approximate the solution to a one-dimensional nonlinear Schroedinger equation by…

Mathematical Physics · Physics 2022-03-17 Andrea Sacchetti

We address parameter estimation in second-order stochastic differential equations (SDEs), which are prevalent in physics, biology, and ecology. The second-order SDE is converted to a first-order system by introducing an auxiliary velocity…

Methodology · Statistics 2025-04-17 Predrag Pilipovic , Adeline Samson , Susanne Ditlevsen
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