On the Quadratization of the Integrals for the Many-Body Problem

被引:2
作者
Ying, Yu [1 ]
Baddour, Ali [2 ]
Gerdt, Vladimir P. [3 ]
Malykh, Mikhail [2 ,3 ]
Sevastianov, Leonid [2 ,3 ]
机构
[1] KaiLi Univ, Sch Sci, Kaili 556011, Peoples R China
[2] RUDN Univ, Dept Appl Probabil & Informat, Moscow 117198, Russia
[3] Joint Inst Nucl Res, Dubna 141980, Russia
基金
俄罗斯科学基金会;
关键词
finite difference method; algebraic integrals of motion; dynamical system; symplectic Runge-Kutta scheme; midpoint scheme; three-body problem; quadratization of energy; RUNGE-KUTTA METHODS; SCHEMES; ENERGY; STABILITY;
D O I
10.3390/math9243208
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A new approach to the construction of difference schemes of any order for the many-body problem that preserves all its algebraic integrals is proposed herein. We introduced additional variables, namely distances and reciprocal distances between bodies, and wrote down a system of differential equations with respect to the coordinates, velocities, and the additional variables. In this case, the system lost its Hamiltonian form, but all the classical integrals of motion of the many-body problem under consideration, as well as new integrals describing the relationship between the coordinates of the bodies and the additional variables are described by linear or quadratic polynomials in these new variables. Therefore, any symplectic Runge-Kutta scheme preserves these integrals exactly. The evidence for the proposed approach is given. To illustrate the theory, the results of numerical experiments for the three-body problem on a plane are presented with the choice of initial data corresponding to the motion of the bodies along a figure of eight (choreographic test).
引用
收藏
页数:12
相关论文
共 41 条
[31]   Symplectic Runge-Kutta Schemes for Adjoint Equations, Automatic Differentiation, Optimal Control, and More [J].
Sanz-Serna, J. M. .
SIAM REVIEW, 2016, 58 (01) :3-33
[32]   The scalar auxiliary variable (SAV) approach for gradient flows [J].
Shen, Jie ;
Xu, Jie ;
Yang, Jiang .
JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 353 :407-416
[33]  
Siegel CL, 1995, LECT CELESTIAL MECH
[34]  
Simo J. C., 1993, Assessment of Energy-momentum and Symplectic Schemes for Stiff Dynamical Systems
[35]  
The Sage Developers SageMath, 2016, SAG MATH SOFTW SYST
[36]   Parametric symplectic partitioned Runge-Kutta methods with energy-preserving properties for Hamiltonian systems [J].
Wang, Dongling ;
Xiao, Aiguo ;
Li, Xueyang .
COMPUTER PHYSICS COMMUNICATIONS, 2013, 184 (02) :303-310
[37]  
Whittaker E T., 1988, A Treatise on the Analytical Dynamics of Particles and Rigid Bodies, DOI [DOI 10.1017/CBO9780511608797, 10.1017/CBO9780511608797]
[38]   Linear and unconditionally energy stable schemes for the binary fluid-surfactant phase field model [J].
Yang, Xiaofeng ;
Ju, Lili .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 318 :1005-1029
[39]   Efficient linear schemes with unconditional energy stability for the phase field elastic bending energy model [J].
Yang, Xiaofeng ;
Ju, Lili .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 315 :691-712
[40]   Highly efficient invariant-conserving explicit Runge-Kutta schemes for nonlinear Hamiltonian differential equations [J].
Zhang, Hong ;
Qian, Xu ;
Yan, Jingye ;
Song, Songhe .
JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 418