Abstract
The Hamiltonian Particle-Mesh (HPM) method is a particle-in-cell method for compressible fluid flow with Hamiltonian structure. We present a numerical short-time study of the rate of convergence of HPM in terms of its three main governing parameters. We find that the rate of convergence is much better than the best available theoretical estimates. Our results indicate that HPM performs best when the number of particles is on the order of the number of grid cells, the HPM global smoothing kernel has fast decay in Fourier space, and the HPM local interpolation kernel is a cubic spline.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
V.R. Ambati, O. Bokhove, Space-time discontinuous Galerkin discretization of rotating shallow water equations. J. Comput. Phys. 225, 1233–1261 (2007)
O. Bokhove, M. Oliver, Parcel Eulerian–Lagrangian fluid dynamics for rotating geophysical flows. Proc. R. Soc. A 462, 2563–2573 (2006)
C.J. Cotter, J. Frank, S. Reich, Hamiltonian particle-mesh method for two-layer shallow-water equations subject to the rigid-lid approximation. SIAM J. Appl. Dyn. Syst. 3, 69–83 (2004)
J. Frank, S. Reich, Conservation properties of smoothed particle hydrodynamics applied to the shallow water equations. BIT 43, 40–54 (2003)
J. Frank, S. Reich, The hamiltonian particle-mesh method for the spherical shallow water equations. Atmos. Sci. Lett. 5, 89–95 (2004)
J. Frank, G. Gottwald, S. Reich, A Hamiltonian particle-mesh method for the rotating shallow water equations, in Meshfree Methods for Partial Differential Equations, ed. by M. Griebel, M.A. Schweitzer. Lecture Notes in Computational Science and Engineering, vol. 26 (Springer, Berlin, 2002), pp. 131–142
R.A. Gingold, J.J. Monaghan, Smoothed particle hydrodynamics: theory and application to non-spherical stars. Mon. Not. R. Astron. Soc. 181, 375–389 (1977)
R. Iacono, Analytic solution to the shallow water equations. Phys. Rev. E 72, 017302 (2005)
L.B. Lucy, A numerical approach to the testing of the fission hypothesis. Astrophys. J. 82, 1013 (1977)
V. Molchanov, Particle-mesh and meshless methods for a class of barotropic fluids. Ph.D. thesis, Jacobs University, 2008
V. Molchanov, M. Oliver, Convergence of the Hamiltonian particle-mesh method for barotropic fluid flow. Mat. Comp. published online, DOI: 10.1090/S0025-5718-2012-02648-2 (2012)
K. Oelschläger, On the connection between Hamiltonian many-particle systems and the hydrodynamical equations. Arch. Ration. Mech. Anal. 115, 297–310 (1991)
D.J. Price, Smoothed particle hydrodynamics and magnetohydrodynamics. J. Comput. Phys. 231, 759–794 (2012)
P. Raviart, An analysis of particle methods, in Numerical Methods in Fluid Dynamics, ed. by F. Brezzi. Lecture Notes in Mathematics, vol. 1127 (Springer, Berlin, 1985), pp. 243–324
P. Ripa, General stability conditions for a multi-layer model. J. Fluid. Mech. 222, 119–137 (1991)
P. Tassi, O. Bokhove, C. Vionnet, Space-discontinuous Galerkin method for shallow water flows—kinetic and HLLC flux, and potential vorticity generation. Adv. Water Res. 30, 998–1015 (2007)
Acknowledgements
V.M. was supported in part through German Science Foundation grant LI-1530/6-1. M.O. acknowledges support through German Science Foundation grant OL-155/5-1 and through the European Science Foundation network Harmonic and Complex Analysis and Applications (HCAA). B.P. was supported by the Netherlands Organisation for Scientific Research (NWO) under the grant “Hamiltonian-based numerical methods in forced-dissipative climate prediction”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Peeters, B., Oliver, M., Bokhove, O., Molchanov, V. (2013). On the Rate of Convergence of the Hamiltonian Particle-Mesh Method. In: Griebel, M., Schweitzer, M. (eds) Meshfree Methods for Partial Differential Equations VI. Lecture Notes in Computational Science and Engineering, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32979-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-32979-1_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32978-4
Online ISBN: 978-3-642-32979-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)