Abstract
A modified Galerkin (the "Euler-Galerkin") algorithmj for the computational of inertial manifolds is described and applied to reaction diffusion and the Kuramoto-Sivashinsky (KS) equation. In the context of the (KS) equation, a low-dimensional Euler-Galerkin approximation (n = 3) is distinctly superior to the traditional Galerkin of the same dimension, and comparable to a traditional Galerkin of a much higher dimension (n = 16).
Original language | English (US) |
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Pages (from-to) | 433-436 |
Number of pages | 4 |
Journal | Physics Letters A |
Volume | 131 |
Issue number | 7-8 |
DOIs | |
State | Published - Sep 5 1988 |
Bibliographical note
Funding Information:An inertial manifold is a finite-dimensional, exponentially attracting, positively invariant Lipschitz This work was partially supported by NSF grants CBT-8707090, EET-8717787, DMS-8507784, and DMS-8501933, DOE grant DE-FG02-86ER25020, and the Applied and Computational Mathematics Pmgram/DARPA.