Multiscale Techniques for Nonlinear Dynamical Systems: Applications and Theory

dc.contributor.advisorStinis, Panos
dc.contributor.authorPrice, Jacob Ryan
dc.date.accessioned2018-07-31T21:08:56Z
dc.date.available2018-07-31T21:08:56Z
dc.date.issued2018-07-31
dc.date.submitted2018
dc.descriptionThesis (Ph.D.)--University of Washington, 2018
dc.description.abstractMost interesting real world systems can be understood at multiple scales of detail. A physical system such as a closed container of gas particles can be understood in terms of hydrodynamic flows, molecules and atoms exerting forces upon one another, or evolving wavefunctions for each component particle. A multiscale approach can be used to understand the interplay of different scales of detail in problems that lack time or spatial scale separation. We present the Mori-Zwanzig formalism as a general framework for understanding multiscale methods. Another popular multiscale method, the heterogeneous multiscale method, is shown to be a special case of this framework. The heterogeneous multiscale method framework is applied to a plasma physics problem. We then derive a new multiscale scheme from the Mori-Zwanzig formalism called the complete memory approximation, and apply it to the Korteweg-de Vries equation, the 3D Euler's equations, and Burgers' equation. Surprising scaling results shed light into the complex role played by memory in reduced order models of partial differential equations.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherPrice_washington_0250E_18624.pdf
dc.identifier.urihttp://hdl.handle.net/1773/42181
dc.language.isoen_US
dc.rightsnone
dc.subjectAnalysis of PDEs
dc.subjectDynamical systems
dc.subjectMori-Zwanzig
dc.subjectMultiscale
dc.subjectNumerical analysis
dc.subjectRenormalization
dc.subjectApplied mathematics
dc.subject.otherApplied mathematics
dc.titleMultiscale Techniques for Nonlinear Dynamical Systems: Applications and Theory
dc.typeThesis

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