Stability and spectral convergence of Fourier method for nonlinear problems. On the shortcomings of the 2/3 de-aliasing method
Claude Bardos, Eitan Tadmor

TL;DR
This paper analyzes the stability and spectral convergence of Fourier methods for nonlinear PDEs, revealing their stability for smooth solutions and instabilities after shock formation, highlighting shortcomings of the 2/3 de-aliasing method.
Contribution
It proves stability and convergence of Fourier methods for nonlinear problems with smooth solutions and identifies their instabilities post-shock, exposing limitations of the 2/3 de-aliasing approach.
Findings
Fourier methods are stable for solutions with minimal C^{1+eta} regularity.
Spectral convergence is achieved for smooth solutions.
Instabilities and spurious oscillations occur after shock formation.
Abstract
The high-order accuracy of Fourier method makes it the method of choice in many large scale simulations. We discuss here the stability of Fourier method for nonlinear evolution problems, focusing on the two prototypical cases of the inviscid Burgers' equation and the multi-dimensional incompressible Euler equations. The Fourier method for such problems with quadratic nonlinearities comes in two main flavors. One is the spectral Fourier method. The other is the 2/3 pseudo-spectral Fourier method, where one removes the highest 1/3 portion of the spectrum; this is often the method of choice to maintain the balance of quadratic energy and avoid aliasing errors. Two main themes are discussed in this paper. First, we prove that as long as the underlying exact solution has a minimal C^{1+\alpha} spatial regularity, then both the spectral and the 2/3 pseudo-spectral Fourier methods are stable.…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Computational Fluid Dynamics and Aerodynamics · Navier-Stokes equation solutions
