Analysis of the CSP Reduction Method for Chemical Kinetics

dc.creatorZagaris, Antonios
dc.creatorKaper, Hans G.
dc.creatorKaper, Tasso J.
dc.date2003-05-26
dc.date.accessioned2026-07-07T04:58:16Z
dc.date.available2026-07-07T04:58:16Z
dc.descriptionThis article is concerned with the asymptotic accuracy of the Computational Singular Perturbation (CSP) method developed by Lam and Goussis to reduce the dimensionality of a system of chemical kinetics equations. The method exploits the presence of disparate time scales to model the dynamics by an evolution equation on a lower-dimensional slow manifold. In this article it is shown that the successive applications of the CSP algorithm generate, order by order, the asymptotic expansion of a slow manifold. The results are illustrated on the Michaelis-Menten-Henri equations of enzyme kinetics.
dc.description39 pages
dc.identifierhttps://arxiv.org/abs/math/0305355
dc.identifierhttp://arxiv.org/abs/math/0305355
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/67568
dc.subjectDynamical Systems
dc.subjectClassical Analysis and ODEs
dc.subject34C20, 34E13, 34E15
dc.titleAnalysis of the CSP Reduction Method for Chemical Kinetics
dc.typetext

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