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For gradient flows, the existing structure-preserving schemes are difficult to achieve arbitrary high-order accuracy in time while preserving maximum-principle (MBP) and energy dissipating simultaneously. In this paper, we develop a new…

Numerical Analysis · Mathematics 2025-11-04 Qing Cheng , Tingfeng Wang , Xiaofei Zhao

This work presents structure-preserving Lift & Learn, a scientific machine learning method that employs lifting variable transformations to learn structure-preserving reduced-order models for nonlinear partial differential equations (PDEs)…

Machine Learning · Computer Science 2026-01-09 Harsh Sharma , Juan Diego Draxl Giannoni , Boris Kramer

We perform a numerical approximation of coherent sets in finite-dimensional smooth dynamical systems by computing singular vectors of the transfer operator for a stochastically perturbed flow. This operator is obtained by solution of a…

Dynamical Systems · Mathematics 2016-10-17 Andreas Denner , Oliver Junge , Daniel Matthes

This paper is devoted to the construction of structure preserving stochastic Galerkin schemes for Fokker-Planck type equations with uncertainties and interacting with an external distribution, that we refer to as a background distribution.…

Numerical Analysis · Mathematics 2019-07-30 Mattia Zanella

In this work we take a formal approach to the problem of decoupling Proca equations in curved space-times. We use Newman-Penrose (NP) two-spinor formalism to represent the Proca vector by one complex and two real scalars. We show that a…

General Relativity and Quantum Cosmology · Physics 2016-06-24 Koray Düztaş , İbrahim Semiz

We consider the problem of discretization for the U(1)-invariant nonlinear wave equations in any dimension. We show that the classical finite-difference scheme used by Strauss and Vazquez \cite{MR0503140} conserves the positive-definite…

Analysis of PDEs · Mathematics 2015-05-19 Andrew Comech , Alexander Komech

We consider the Riemann problem of the dilute approximation equations with spatiotemporally dependent volume fractions from the full model of suspension, in which the particles settle to the solid substrate and the clear liquid film flows…

Analysis of PDEs · Mathematics 2017-09-05 Kaname Matsue , Kyoko Tomoeda

In this paper, we present a linearly implicit energy-preserving scheme for the Camassa-Holm equation by using the multiple scalar auxiliary variables approach, which is first developed to construct efficient and robust energy stable schemes…

Numerical Analysis · Mathematics 2020-03-18 Chaolong Jiang , Yuezheng Gong , Wenjun Cai , Yushun Wang

Kahan's method and a two-step generalization of the discrete gradient method are both linearly implicit methods that can preserve a modified energy for Hamiltonian systems with a cubic Hamiltonian. These methods are here investigated and…

Numerical Analysis · Mathematics 2020-05-11 Sølve Eidnes , Lu Li , Shun Sato

This paper is devoted to the analysis of a numerical scheme for the coagulation and fragmentation equation with diffusion in space. A finite volume scheme is developed, based on a conservative formulation of the space nonhomogeneous…

Numerical Analysis · Mathematics 2009-11-13 Francis Filbet

The rotation-two-component Camassa--Holm system, which possesses strongly nonlinear coupled terms and high-order differential terms, tends to have continuous nonsmooth solitary wave solutions, such as peakons, stumpons, composite waves and…

Numerical Analysis · Mathematics 2023-04-13 Tong Yan , Jiwei Zhang , Qifeng Zhang

We prove localized energy estimates for the wave equation in domains with a strictly concave boundary when homogeneous Dirichlet or Neumann conditions are imposed. By restricting the solution to small, frequency dependent, space time…

Analysis of PDEs · Mathematics 2014-11-07 Matthew D. Blair

We present a new temporal discretization paradigm for developing energy-production-rate preserving numerical approximations to thermodynamically consistent partial differential equation systems, called the supplementary variable method. The…

Numerical Analysis · Mathematics 2020-06-09 Yuezheng Gong , Qi Hong , Qi Wang

The paper proposes a new, conservative fully-discrete scheme for the numerical solution of the regularised shallow water Boussinesq system of equations in the cases of periodic and reflective boundary conditions. The particular system is…

Numerical Analysis · Mathematics 2021-05-12 Dimitrios Mitsotakis , Hendrik Ranocha , David I. Ketcheson , Endre Süli

We develop structure-preserving numerical methods for the compressible Euler equations, employing potential temperature as a prognostic variable. We construct three numerical fluxes designed to ensure the conservation of entropy and total…

Numerical Analysis · Mathematics 2025-09-23 Marco Artiano , Oswald Knoth , Peter Spichtinger , Hendrik Ranocha

We introduce in this paper two time discretization schemes tailored for a range of Wasserstein gradient flows. These schemes are designed to preserve mass, positivity and to be uniquely solvable. In addition, they also ensure energy…

Numerical Analysis · Mathematics 2024-07-15 Shiheng Zhang , Jie Shen

An energy-conserving and an energy-and-enstrophy conserving numerical schemes are derived, by approximating the Hamiltonian formulation, based on the Poisson brackets and the vorticity-divergence variables, of the inviscid shallow water…

Numerical Analysis · Mathematics 2019-05-30 Qingshan Chen , Lili Ju , Roger Temam

The structure function is a useful quantity to characterize wavefront distortions. We derive expressions for the structure functions of the averaged wavefront phase and slopes. The expressions are valid within the inertial range of…

Data Analysis, Statistics and Probability · Physics 2015-04-02 Aglae Kellerer

Self-propelled particles can navigate complex environments, including viscous fluid interfaces with curved geometries. In this work, we study the emergent dynamics of a suspension of self-propelled particles confined to a stationary curved…

Fluid Dynamics · Physics 2026-04-17 Yuzhu Chen , Vishal P. Patil , David Saintillan

The Navier--Stokes equations are commonly used to model and to simulate flow phenomena. We introduce the basic equations and discuss the standard methods for the spatial and temporal discretization. We analyse the semi-discrete equations --…

Numerical Analysis · Mathematics 2024-12-20 Robert Altmann , Jan Heiland