Title
Fourier Type Super Convergence Study on DDGIC and Symmetric DDG Methods.
Abstract
In this paper, using Fourier analysis technique, we study the super convergence property of the DDGIC (Liu and Yan in Commun Comput Phys 8(3):541–564, 2010) and the symmetric DDG (Vidden and Yan in J Comput Math 31(6):638–662, 2013) methods for diffusion equation. With \(k\hbox {th}\) degree piecewise polynomials applied, the convergence to the solution’s spatial derivative is \(k\hbox {th}\) order measured under regular norms. On the other hand when measuring the error in the weak sense or in its moment format, the error is super convergent with \((k+2)\hbox {th}\) and \((k+3)\hbox {th}\) orders for its first two moments with even order degree polynomial approximations. We carry out Fourier type (Von Neumann) error analysis and obtain the desired super convergent orders for the case of \(P^2\) quadratic polynomial approximations. The theoretical predicted errors agree well with the numerical results.
Year
DOI
Venue
2017
10.1007/s10915-017-0438-3
J. Sci. Comput.
Keywords
Field
DocType
Discontinuous Galerkin method, Diffusion equation, Stability, Consistency, Convergence, Super convergence
Convergence (routing),Mathematical optimization,Fourier analysis,Polynomial,Mathematical analysis,Degree of a polynomial,Fourier transform,Quadratic function,Piecewise,Diffusion equation,Mathematics
Journal
Volume
Issue
ISSN
73
2-3
0885-7474
Citations 
PageRank 
References 
1
0.35
9
Authors
2
Name
Order
Citations
PageRank
Mengping Zhang112114.66
Jue Yan219824.23