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A Radial Basis Function Finite Difference Scheme for the Benjamin–Ono Equation

Author

Listed:
  • Benjamin Akers

    (Department of Mathematics and Statistics, Air Force Institute of Technology, Dayton, OH 45433, USA)

  • Tony Liu

    (Department of Mathematics and Statistics, Air Force Institute of Technology, Dayton, OH 45433, USA)

  • Jonah Reeger

    (Independent Researcher, Bellbrook, OH 45305, USA)

Abstract

A radial basis function-finite differencing (RBF-FD) scheme was applied to the initial value problem of the Benjamin–Ono equation. The Benjamin–Ono equation has traveling wave solutions with algebraic decay and a nonlocal pseudo-differential operator, the Hilbert transform. When posed on R , the former makes Fourier collocation a poor discretization choice; the latter is challenging for any local method. We develop an RBF-FD approximation of the Hilbert transform, and discuss the challenges of implementing this and other pseudo-differential operators on unstructured grids. Numerical examples, simulation costs, convergence rates, and generalizations of this method are all discussed.

Suggested Citation

  • Benjamin Akers & Tony Liu & Jonah Reeger, 2020. "A Radial Basis Function Finite Difference Scheme for the Benjamin–Ono Equation," Mathematics, MDPI, vol. 9(1), pages 1-12, December.
  • Handle: RePEc:gam:jmathe:v:9:y:2020:i:1:p:65-:d:470492
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    Cited by:

    1. Kristina O. F. Williams & Benjamin F. Akers, 2023. "Numerical Simulation of the Korteweg–de Vries Equation with Machine Learning," Mathematics, MDPI, vol. 11(13), pages 1-14, June.

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