Abstract
We suggest and substantiate a unified form of a family of adaptive conservative numerical methods for the Kepler problem. The family contains methods of the second, fourth, and sixth approximation order as well as an exact method. The methods preserve all the global properties of the exact solution of the problem. The variable time step is chosen automatically depending on the properties of the solution.
Similar content being viewed by others
References
Duboshin, G.N., Nebesnaya mekhanika. Osnovnye zadachi i metody (Celestial Mechanics: Main Problems and Methods), Moscow: Fizmatgiz, 1963.
Arnold, V.I., Matematicheskie metody klassicheskoi mekhaniki (Mathematical Methods of Classical Mechanics), Moscow: Nauka, 1979.
Landau, L.D. and Lifshits E.M., Mekhanika (Mechanics), Moscow: Nauka, 1973.
Allen, M.P. and Tildesley, D.J., Computer Simulation of Liquids, Oxford: Oxford Univ. Press, 1991.
Computational Molecular Dynamics: Challenges, Methods, Ideas, Deuflhard, P., Hermans, J., Leimkuhler, B., et. al., Eds., Lect. Notes Comput. Sci. Eng., vol. 4, Berlin: Springer-Verlag, 1998.
Hairer, E., Lubich, C., and Wanner, G., Geometric Numerical Integration, Berlin: Springer-Verlag, 2006, 2nd ed.
Suris, Yu.B., On the conservation of the symplectic structure in numerical solutions of Hamiltonian systems, in Chislennoe reshenie obyknovennykh differentsial’nykh uravnenii (Numerical Solutions of Ordinary Differential Equations), Moscow: Inst. Prikl. Mat. Akad. Nauk SSSR, 1988, pp. 148–160.
Sanz-Serna, J.M., Runge–Kutta schemes for Hamiltonian systems, BIT Numer. Math., 1988, vol. 28, no. 4, pp. 877–883.
Reich, S., Momentum conserving symplectic integrators, Phys. D, 1994, vol. 76, no. 4, pp. 375–383.
McLachan, R.I., Quispel, G.R.W., and Robidoux, N., Geometric integration using discrete gradients, Philos. Trans. R. Soc. A, 1999, vol. 357, pp. 1021–1045.
Marsden, J.E. and West, M., Discrete mechanics and variational integrators, Acta Numer., 2001, vol. 10, pp. 357–514.
Verlet L., Computer “experiments” on classical fluids. I. Thermodynamical properties of Lennard–Jones molecules, Phys. Rev., 1967, vol. 159, pp. 98–103.
LaBudde, R.A. and Greenspan D., Discrete mechanics—A general treatment, J. Comput. Phys., 1974, vol. 15, no. 2, pp. 134–167.
Minesaki, Y. and Nakamura, Y., A new discretization of the Kepler motion which conserves the Runge–Lenz vector, Phys. Lett. A, 2002, vol. 306, no. 2–3, pp. 127–133.
Kozlov, R., Conservative discretizations of the Kepler motion, J. Phys. A: Math. Theor., 2007, vol. 40, no. 17, pp. 4529–4539.
Cieśliński, J.L., An orbit-preserving discretization of the classical Kepler problem, Phys. Lett. A, 2007, vol. 370, no. 1, pp. 8–12.
Elenin, G.G. and Elenina, T.G., A one-parameter family of difference schemes for the numerical solution of the Keplerian problem, Comput. Math. Math. Phys., 2015, vol. 55, no. 8, pp. 1264–1269.
Hairer, E, Nørsett, P.N., and Wanner, G., Solving Ordinary Differential Equations: I. Nonstiff Problems, Berlin: Springer-Verlag, 1987. Translated under the title Reshenie obyknovennykh differentsial’nykh uravnenii. I. Nezhestkie zadachi, Moscow: Mir, 1990.
Oewel, W. and Sofrouniou, M., Symplectic Runge–Kutta schemes II: classification of symmetric methods, Preprint of University of Paderborn, Paderborn, 1997.
Yelenin, G.G. and Shlyakhov, P.I., The geometric structure of the parameter space of the three-stage symplectic Runge–Kutta methods, Math. Models Comput. Simul., 2011, vol. 3, no. 6, pp. 680–689.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © G.G. Elenin, T.G. Elenina, 2017, published in Differentsial’nye Uravneniya, 2017, Vol. 53, No. 7, pp. 950–961.
Rights and permissions
About this article
Cite this article
Elenin, G.G., Elenina, T.G. Adaptive symplectic conservative numerical methods for the Kepler problem. Diff Equat 53, 923–934 (2017). https://doi.org/10.1134/S0012266117070096
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0012266117070096