A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D

This study presents a numerical convolution representation of a potential induced from a disk of surface density, which has often been investigated in the center region of galaxies. The advantage of this representation is to release the softening length for the N-body method and artificial boundary...

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Main Author: Chien-Chang Yen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/693537
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author Chien-Chang Yen
author_facet Chien-Chang Yen
author_sort Chien-Chang Yen
collection DOAJ
description This study presents a numerical convolution representation of a potential induced from a disk of surface density, which has often been investigated in the center region of galaxies. The advantage of this representation is to release the softening length for the N-body method and artificial boundary conditions for the spectral methods. With the help of fast Fourier transform, the computational complexity is only O(M2(log2⁡M)), where M is the number of zones in one dimension. Numerical results show an almost second order of accuracy on a Cartesian coordinate system. A comparison study also demonstrates that this method can calculate the potential for disk surface density based on the uniform grids.
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spelling doaj-art-b91b8d0461654001851587b49969d07a2025-02-03T05:51:39ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/693537693537A Numerical Convolution Representation of Potential for a Disk Surface Density in 3DChien-Chang Yen0Department of Mathematics, Fu Jen Catholic University, New Taipei City 24205, TaiwanThis study presents a numerical convolution representation of a potential induced from a disk of surface density, which has often been investigated in the center region of galaxies. The advantage of this representation is to release the softening length for the N-body method and artificial boundary conditions for the spectral methods. With the help of fast Fourier transform, the computational complexity is only O(M2(log2⁡M)), where M is the number of zones in one dimension. Numerical results show an almost second order of accuracy on a Cartesian coordinate system. A comparison study also demonstrates that this method can calculate the potential for disk surface density based on the uniform grids.http://dx.doi.org/10.1155/2014/693537
spellingShingle Chien-Chang Yen
A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D
Journal of Applied Mathematics
title A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D
title_full A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D
title_fullStr A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D
title_full_unstemmed A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D
title_short A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D
title_sort numerical convolution representation of potential for a disk surface density in 3d
url http://dx.doi.org/10.1155/2014/693537
work_keys_str_mv AT chienchangyen anumericalconvolutionrepresentationofpotentialforadisksurfacedensityin3d
AT chienchangyen numericalconvolutionrepresentationofpotentialforadisksurfacedensityin3d