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This paper concerns with some of the results related to the singular solutions of certain types of non-linear integrable differential equations (NIDE) and behavior of the singularities of those equations. The approach heavily relies on the…

Mathematical Physics · Physics 2017-03-28 Igor Tydniouk

This paper introduces a new symbolic-numeric strategy for finding semidiscretizations of a given PDE that preserve multiple local conservation laws. We prove that for one spatial dimension, various one-step time integrators from the…

Numerical Analysis · Mathematics 2021-10-19 G. Frasca-Caccia , P. E. Hydon

We propose integrable discretizations of derivative nonlinear Schroedinger (DNLS) equations such as the Kaup-Newell equation, the Chen-Lee-Liu equation and the Gerdjikov-Ivanov equation by constructing Lax pairs. The discrete DNLS systems…

Exactly Solvable and Integrable Systems · Physics 2008-11-26 Takayuki Tsuchida

We prove strong convergence of a semi-discrete finite difference method for the KdV and modified KdV equations. We extend existing results to non-smooth data (namely, in $L^2$), without size restrictions. Our approach uses a fourth order…

Numerical Analysis · Mathematics 2012-02-07 Paulo Amorim , Mário Figueira

The Korteweg-de Vries (KdV) equation is a fundamental partial differential equation that models wave propagation in shallow water and other dispersive media. Accurately solving the KdV equation is essential for understanding wave dynamics…

Numerical Analysis · Mathematics 2024-10-10 Qiming Wu

Many multi-dimensional consistent discrete systems have soliton solutions with nonzero backgrounds, which brings difficulty in the investigation of integrable characteristics. In this letter we derive infinitely many conserved quantities…

Exactly Solvable and Integrable Systems · Physics 2015-07-28 Senyue Lou , Ying Shi , Da-jun Zhang

The reductive perturbation method has been employed to derive the Korteweg-de Vries (KdV) equation for small but finite amplitude ion-acoustic waves. The Lagrangian of the time fractional KdV equation is used in similar form to the…

Plasma Physics · Physics 2010-03-22 El-Said A. El-Wakil , Essam M. Abulwafa , Emad K. El-shewy , Abeer A. Mahmoud

We have undertaken an algorithmic search for new integrable semi-discretizations of physically relevant nonlinear partial differential equations. The search is performed by using a compatibility condition for the discrete Lax operators and…

Exactly Solvable and Integrable Systems · Physics 2017-05-18 Sylvie A. Bronsard , Dmitry E. Pelinovsky

We consider the spectral problem of the Lax pair associated to periodic integrable partial differential equations. We assume this spectral problem to be a polynomial of degree $d$ in the spectral parameter $\lambda$. From this assumption,…

Analysis of PDEs · Mathematics 2018-01-09 J. Adrían Espínola-Rocha , F. X. Portillo-Bobadilla

A procedure for obtaining a "minimal" discretization of a partial differential equation, preserving all of its Lie point symmetries is presented. "Minimal" in this case means that the differential equation is replaced by a partial…

Mathematical Physics · Physics 2009-11-11 Francis Valiquette , Pavel Winternitz

This paper presents an operational framework for the computation of the discretized solutions for relativistic equations of Klein-Gordon and Dirac type. The proposed method relies on the construction of an evolution-type operador from the…

Mathematical Physics · Physics 2019-08-07 Nelson Faustino

We consider solutions of the generalized Korteweg-de Vries equations (gKdV) which are non dispersive in some sense (in the spirit of [18]) and which remain close to multi-solitons. We show that these solutions are necessarily pure…

Analysis of PDEs · Mathematics 2020-07-06 Xavier Friederich

Variational integrators for Lagrangian dynamical systems provide a systematic way to derive geometric numerical methods. These methods preserve a discrete multisymplectic form as well as momenta associated to symmetries of the Lagrangian…

Numerical Analysis · Mathematics 2017-10-05 Michael Kraus , Omar Maj

Variational integrators are derived for structure-preserving simulation of stochastic Hamiltonian systems with a certain type of multiplicative noise arising in geometric mechanics. The derivation is based on a stochastic discrete…

Numerical Analysis · Mathematics 2019-07-31 Darryl D. Holm , Tomasz M. Tyranowski

We construct stochastic multisymplectic systems by considering a stochastic extension to the variational formulation of multisymplectic partial differential equations proposed in [Hydon, {\it Proc. R. Soc. A}, 461, 1627--1637, 2005]. The…

Dynamical Systems · Mathematics 2025-11-19 Ruiao Hu , Linyu Peng

This paper investigates quenching solutions of an one-dimensional, two-sided Riemann-Liouville fractional order convection-diffusion problem. Fractional order spatial derivatives are discretized using weighted averaging approximations in…

Analysis of PDEs · Mathematics 2025-03-06 Rumin Dong , Lin Zhu , Qin Sheng , Bingxin Zhao

We present a finite element variational integrator for compressible flows. The numerical scheme is derived by discretizing, in a structure preserving way, the Lie group formulation of fluid dynamics on diffeomorphism groups and the…

Numerical Analysis · Mathematics 2019-10-15 Evan S. Gawlik , François Gay-Balmaz

Numerical models of weather and climate critically depend on long-term stability of integrators for systems of hyperbolic conservation laws. While such stability is often obtained from (physical or numerical) dissipation terms, physical…

Numerical Analysis · Mathematics 2021-12-01 Rüdiger Brecht , Werner Bauer , Alexander Bihlo , François Gay-Balmaz , Scott MacLachlan

In this work, we develop a class of high-order multiderivative time integration methods that is able to preserve certain functionals discretely. Important ingredients are the recently developed Hermite-Birkhoff-Predictor-Corrector methods…

Numerical Analysis · Mathematics 2023-09-12 Hendrik Ranocha , Jochen Schütz , Eleni Theodosiou

Neural operators have shown promise in solving many types of Partial Differential Equations (PDEs). They are significantly faster compared to traditional numerical solvers once they have been trained with a certain amount of observed data.…

Numerical Analysis · Mathematics 2025-02-18 Guanhang Lei , Zhen Lei , Lei Shi
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