Co-ordinate transforms underpin multiscale modelling and reduction in deterministic and stochastic systems

Poster


Roberts, A. J.. 2008. "Co-ordinate transforms underpin multiscale modelling and reduction in deterministic and stochastic systems." Abbott, Derek, Aste, Tomaso, Batchelor, Murray and Dewar, Robert (ed.) Complex Systems II: SPIE Symposium on Microelectronics, MEMS, and Nanotechnology 2007. Canberra, Australia 05 - 07 Dec 2007 United States. SPIE. https://doi.org/10.1117/12.767596
Paper/Presentation Title

Co-ordinate transforms underpin multiscale modelling and reduction in deterministic and stochastic systems

Presentation TypePoster
Authors
AuthorRoberts, A. J.
EditorsAbbott, Derek, Aste, Tomaso, Batchelor, Murray and Dewar, Robert
Journal or Proceedings TitleProceedings of SPIE (International Society for Optical Engineering)
Journal Citation6802, pp. C292-C307
Number of Pages16
Year2008
PublisherSPIE
Place of PublicationUnited States
ISSN0277-786X
ISBN9780819469731
Digital Object Identifier (DOI)https://doi.org/10.1117/12.767596
Web Address (URL) of Paperhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/6802/1/Co-ordinate-transforms-underpin-multiscale-modelling-and-reduction-in-deterministic/10.1117/12.767596.short?SSO=1
Conference/EventComplex Systems II: SPIE Symposium on Microelectronics, MEMS, and Nanotechnology 2007
Event Details
Complex Systems II: SPIE Symposium on Microelectronics, MEMS, and Nanotechnology 2007
Event Date
05 to end of 07 Dec 2007
Event Location
Canberra, Australia
Abstract

A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from microscale interactions. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are known, but the closures to translate microscale knowledge to a large scale macroscopic description are rarely available in closed form. Kevrekidis proposes new 'equation free' computational methodologies to circumvent this stumbling block in multiscale modelling. Nonlinear coordinate transforms underpin analytic techniques that support these computational methodologies. But to do so we must cross multiple space and time scales, in both deterministic and stochastic systems, and where the microstructure is either smooth or detailed. Using examples, I describe progress in using nonlinear coordinate transforms to illuminate such multiscale modelling issues.

Keywordsfast-slow systems; multiscale modelling; normal form; singular perturbations; stochastic systems
ANZSRC Field of Research 2020490510. Stochastic analysis and modelling
519901. Complex physical systems
401602. Composite and hybrid materials
Public Notes

This is a poster paper.

Byline AffiliationsDepartment of Mathematics and Computing
Institution of OriginUniversity of Southern Queensland
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