On error estimates of an exponential wave integrator sine pseudospectral method for the Klein-Gordon-Zakharov system (Q2804375)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: On error estimates of an exponential wave integrator sine pseudospectral method for the Klein-Gordon-Zakharov system |
scientific article; zbMATH DE number 6575166
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On error estimates of an exponential wave integrator sine pseudospectral method for the Klein-Gordon-Zakharov system |
scientific article; zbMATH DE number 6575166 |
Statements
On error estimates of an exponential wave integrator sine pseudospectral method for the Klein-Gordon-Zakharov system (English)
0 references
29 April 2016
0 references
explicit pseudospectral exponential wave integrator
0 references
Klein-Gordon-Zakharov system
0 references
error bounds
0 references
convergence
0 references
numerical example
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
The subject of this paper is the numerical approximation of the so-called Klein-Gordon-Zakharov system of partial differential equations (KGZ) which is of the following form: NEWLINE\[NEWLINE \partial_{tt}\psi(x,t)-\Delta\psi(x,t)+\psi(x,t)+\psi(x,t)\phi(x,t) +\lambda|\psi|^2\psi(x,t)=0,NEWLINE\]NEWLINE NEWLINE\[NEWLINE\partial_{tt}\phi(x,t)-\Delta\phi(x,t)-\Delta(|\psi(x,t)|^2)=0,NEWLINE\]NEWLINE with given initial conditions for \(\psi(x,0)\), \(\partial_t\psi(x,0)\), \(\phi(x,0)\), and \(\partial_t\phi(x,t)\). Here the one-dimensional space approximation of the KGZ system on a finite interval \((a,b)\) is considered with additional zero Dirichlet boundary conditions at \(a\) and \(b\). A remark concerning Neumann conditions is given.NEWLINENEWLINEFor the space sine pseudospectral method the standard \(L^2\) projection \(P_N:L^2(a,b)\rightarrow X_N\) and the trigonometric interpolation operator \(I_N:C(a,b)\rightarrow X_N\) are used, where NEWLINE\[NEWLINEX_N=\mathrm{span} \{\phi_l=\sin(\mu_l(x-a)):x\in [a,b],\,\mu_l={{\pi l}\over(b-a)},l=1,2,\dots,N-1\}NEWLINE\]NEWLINE (orthogonality of the basic functions of interpolation is important!). The projection operators need integration, hence for approximation the numerical quadrature has to be applied (ex. trapezoidal rule). Finally, an elegant explicit algorithm is obtained, which turns out to be time-reversible (i.e., it works with positive and negative time step.) The author presents error bounds for sufficiently smooth solutions, and deduces the (conditional) stability-convergence result. Some numerical examples are given and a long-time energy conservation test is joint.
0 references