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We introduce a new family of discontinuous Galerkin (DG) finite element schemes for the discretization of first order systems of hyperbolic partial differential equations (PDE) on unstructured simplex meshes in two and three space…

Numerical Analysis · Mathematics 2025-08-20 R. Abgrall , M. Dumbser , P. H. Maire

Pluri-Lagrangian systems are variational systems with the multi-dimensional consistency property. This notion has its roots in the theory of pluriharmonic functions, in the Z-invariant models of statistical mechanics, in the theory of…

Mathematical Physics · Physics 2015-06-03 A. I. Bobenko , Yu. B. Suris

We investigate the interplay between monomial first integrals, polynomial invariants of certain group action, and the Poincar\'{e}-Dulac normal forms for autonomous systems of ODEs with diagonal matrix of the linear part. Using tools from…

Dynamical Systems · Mathematics 2025-11-11 Mateja Grašič , Abdul Salam Jarrah , Valery G. Romanovski

We construct, for any given $ \ell = \frac{1}{2} + {\mathbb N}_0, $ the second-order \textit{nonlinear} partial differential equations (PDEs) which are invariant under the transformations generated by the centrally extended conformal…

Mathematical Physics · Physics 2015-11-05 Naruhiko Aizawa , Tadanori Kato

This paper proposes a physically consistent Gaussian Process (GP) enabling the identification of uncertain Lagrangian systems. The function space is tailored according to the energy components of the Lagrangian and the differential equation…

Machine Learning · Computer Science 2023-02-06 Giulio Evangelisti , Sandra Hirche

In this paper, discrete analogues of Euler-Poincar\'{e} and Lie-Poisson reduction theory are developed for systems on finite dimensional Lie groups $G$ with Lagrangians $L:TG \to {\mathbb R}$ that are $G$-invariant. These discrete equations…

Numerical Analysis · Mathematics 2025-10-20 Jerrold E. Marsden , Sergey Pekarsky , Steve Shkoller

This paper is concerned with developing accurate and efficient numerical methods for one-dimensional fully nonlinear second order elliptic and parabolic partial differential equations (PDEs). In the paper we present a general framework for…

Numerical Analysis · Mathematics 2012-12-04 Xiaobing Feng , Thomas Lewis

A methodology on making the variational principle well-posed in degenerate systems is constructed. In the systems including higher-order time derivative terms being compatible with Newtonian dynamics, we show that a set of position…

Mathematical Physics · Physics 2023-12-25 Kyosuke Tomonari

In this article, we study systems of $n \geq 1$, not necessarily linear, discrete differential equations (DDEs) of order $k \geq 1$ with one catalytic variable. We provide a constructive and elementary proof of algebraicity of the solutions…

Combinatorics · Mathematics 2024-11-13 Hadrien Notarantonio , Sergey Yurkevich

This paper is a summary of the theory of discrete embeddings introduced in [5]. A discrete embedding is an algebraic procedure associating a numerical scheme to a given ordinary differential equation. Lagrangian systems possess a…

Numerical Analysis · Mathematics 2016-01-20 Loïc Bourdin , Jacky Cresson , Isabelle Greff , Pierre Inizan

The spectral method for building first integrals of ordinary linear differential systems is elaborated. Using this method, we obtain bases of first integrals for linear differential systems with constant coefficients, for linear…

Dynamical Systems · Mathematics 2012-01-20 V. N. Gorbuzov , A. F. Pranevich

Continuing our study on the complete integrability of nonlinear ordinary differential equations, in this paper we consider the integrability of a system of coupled first order nonlinear ordinary differential equations (ODEs) of both…

Exactly Solvable and Integrable Systems · Physics 2009-11-13 V. K. Chandrasekar , M. Senthilvelan , M. Lakshmanan

In this paper we present an algorithmic approach to the generation of fully conservative difference schemes for linear partial differential equations. The approach is based on enlargement of the equations in their integral conservation law…

Rings and Algebras · Mathematics 2008-04-24 Vladimir P. Gerdt , Yuri A. Blinkov , Vladimir V. Mozzhilkin

Invariants of general linear system of two hyperbolic partial differential equations (PDEs) are derived under transformations of the dependent and independent variables by real infinitesimal method earlier. Here a subclass of the general…

Classical Analysis and ODEs · Mathematics 2015-08-14 A. Aslam , M. Safdar , F. M. Mahomed

The classical Darboux system governing rotation coefficients of three-dimensional metrics of diagonal curvature possesses an equivalent formulation as a sixth-order PDE for a scalar potential (related to the corresponding $\tau$-function).…

Exactly Solvable and Integrable Systems · Physics 2026-03-06 Lingling Xue , E. V. Ferapontov , M. V. Pavlov

We introduce generalized Galerkin variational integrators, which are a natural generalization of discrete variational mechanics, whereby the discrete action, as opposed to the discrete Lagrangian, is the fundamental object. This is achieved…

Numerical Analysis · Mathematics 2007-05-23 Melvin Leok

Generalized Darboux-Halphen (gDH) systems, which form a versatile class of three-dimensional homogeneous quadratic differential systems (HQDS's), are introduced. They generalize the Darboux-Halphen (DH) systems considered by other authors,…

Classical Analysis and ODEs · Mathematics 2012-04-10 Robert S. Maier

We present a general framework for constructing polynomial integrable systems on linearizations of Poisson varieties that admit log-canonical systems. Our construction is in particular applicable to Poisson varieties with compatible cluster…

Symplectic Geometry · Mathematics 2026-03-30 Yanpeng Li , Yu Li , Jiang-Hua Lu

We consider the problem of computing the integrable sub-distributions of the non-integrable Vessiot distribution of multi-dimensional second order partial differential equations (PDEs). We use Vessiot theory and solvable structures to find…

Differential Geometry · Mathematics 2015-06-18 Naghmana Tehseen

In this paper, we propose Lagrangian Gaussian Processes (LGPs) for probabilistic and data-efficient learning of dynamics via discrete forced Euler-Lagrange equations. Importantly, the geometric structure of the Lagrange-d'Alembert…

Machine Learning · Computer Science 2026-05-08 Jan-Hendrik Ewering , Kathrin Flaßkamp , Niklas Wahlström , Thomas B. Schön , Thomas Seel