4.6 Article

A hybrid augmented compact finite volume method for the Thomas-Fermi equation

Journal

MATHEMATICS AND COMPUTERS IN SIMULATION
Volume 190, Issue -, Pages 760-773

Publisher

ELSEVIER
DOI: 10.1016/j.matcom.2021.06.010

Keywords

Thomas-Fermi equation; Puiseux series; Compact finite volume method; Augmented variable

Funding

  1. National Natural Science Foundation of China [11971241]
  2. Jiangsu Key Lab for NSLSCS [202007]
  3. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China

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A new efficient method combining the Puiseux series asymptotic technique with an augmented compact finite volume method is proposed to develop a numerical approximate solution for the Thomas-Fermi equation on semi-infinity domain. The method not only obtains high precision numerical solution, but also precise initial slope, which is crucial for measuring the quality of the algorithm.
A new efficient method that combines the Puiseux series asymptotic technique with an augmented compact finite volume method is proposed to develop a numerical approximate solution for the Thomas-Fermi equation on semi-infinity domain. By using the asymptotic series of solution at infinity and the Puiseux series expansion at origin to characterize the singularities, the natural and precise boundary conditions are obtained. The expansions contain undetermined parameters which associate with the singularity as the augmented variables. A regular boundary value problem is derived, for which an augmented compact finite volume method is used. The computational results show that the method not only obtains the high precise numerical solution, but also obtains the high precise initial slope. In particular, we find that the initial slope is exactly equal to the augmented variable related to the singularities in the Puiseux series. The initial slope not only has an important physical significance, but also its calculation accuracy has become an important criteria to measure the quality of the algorithm. (C) 2021 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

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