Symmetric-Adjoint and Symplectic-Adjoint Runge-Kutta Methods and Their Applications

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)304-335
Journal / PublicationNumerical Mathematics
Volume15
Issue number2
Online published17 Feb 2022
Publication statusPublished - May 2022

Abstract

Symmetric and symplectic methods are classical notions in the theory of numerical methods for solving ordinary differential equations. They can generate numerical flows that respectively preserve the symmetry and symplecticity of the continuous flows in the phase space. This article is mainly concerned with the symmetric-adjoint and symplectic-adjoint Runge-Kutta methods as well as their applications. It is a continuation and an extension of the study in [14], where the authors introduced the notion of symplectic-adjoint method of a Runge-Kutta method and provided a simple way to construct symplectic partitioned Runge-Kutta methods via the symplectic-adjoint method. In this paper, we provide a more comprehensive and systematic study on the properties of the symmetric-adjoint and symplecticadjoint Runge-Kutta methods. These properties reveal some intrinsic connections among some classical Runge-Kutta methods. Moreover, those properties can be used to significantly simplify the order conditions and hence can be applied to the construction of high-order Runge-Kutta methods. As a specific and illustrating application, we construct a novel class of explicit Runge-Kutta methods of stage 6 and order 5. Finally, with the help of symplectic-adjoint method, we thereby obtain a new simple proof of the nonexistence of explicit Runge-Kutta method with stage 5 and order 5.

Research Area(s)

  • Runge-Kutta method, symmetric, symplectic, adjoint, high-order, explicit method, ORDER, NONEXISTENCE, STABILITY

Citation Format(s)

Symmetric-Adjoint and Symplectic-Adjoint Runge-Kutta Methods and Their Applications. / Sun, Geng; Gan, Siqing; Liu, Hongyu et al.

In: Numerical Mathematics, Vol. 15, No. 2, 05.2022, p. 304-335.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review