Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4637863 | Journal of Computational and Applied Mathematics | 2016 | 12 Pages |
Abstract
Four types of global error for initial value problems are considered in a common framework. They include classical forward error analysis and shadowing error analysis together with extensions of both to include rescaling of time. To determine the amplification of the local error that bounds the global error we present a linear analysis similar in spirit to condition number estimation for linear systems of equations. We combine these ideas with techniques for dimension reduction of differential equations via a boundary value formulation of numerical inertial manifold reduction. These global error concepts are exercised to illustrate their utility on the Lorenz equations and inertial manifold reductions of the Kuramoto–Sivashinsky equation.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yu-Min Chung, Andrew Steyer, Michael Tubbs, Erik S. Van Vleck, Mihir Vedantam,