Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/131167
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Type: Journal article
Title: Nonlinear emergent macroscale PDEs, with error bound, for nonlinear microscale systems
Author: Bunder, J.E.
Roberts, A.J.
Citation: SN Applied Sciences, 2021; 3(7):703-1-703-28
Publisher: Springer
Issue Date: 2021
ISSN: 2523-3963
2523-3971
Statement of
Responsibility: 
J. E. Bunder, A. J. Roberts
Abstract: Many multiscale physical scenarios have a spatial domain which is large in some dimensions but relatively thin in other dimensions. These scenarios includes homogenization problems where microscale heterogeneity is effectively a ‘thin dimension’. In such scenarios, slowly varying, pattern forming, emergent structures typically dominate the large dimensions. Common modelling approximations of the emergent dynamics usually rely on self-consistency arguments or on a nonphysical mathematical limit of an infinite aspect ratio of the large and thin dimensions. Instead, here we extend to nonlinear dynamics a new modelling approach which analyses the dynamics at each cross-section of the domain via a multivariate Taylor series (Roberts and Bunder in IMA J Appl Math 82(5):971–1012, 2017. https:// doi. org/ 10. 1093/ imamat/ hxx021). Centre manifold theory extends the analysis at individual cross-sections to a rigorous global model of the system’s emergent dynamics in the large but finite domain. A new remainder term quantifies the error of the nonlinear modelling and is expressed in terms of the interaction between cross-sections and the fast and slow dynamics. We illustrate the rigorous approach by deriving the large-scale nonlinear dynamics of a thin liquid film on a rotating substrate. The approach developed here empowers new mathematical and physical insight and new computational simulations of previously intractable nonlinear multiscale problems.
Keywords: Nonlinear dynamics; Emergent dynamics; Centre manifold theory; Multiscale modelling; Computational fluid dynamics
Rights: © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.
RMID: 1000043461
DOI: 10.1007/s42452-021-04229-9
Grant ID: http://purl.org/au-research/grants/arc/DP150102385
http://purl.org/au-research/grants/arc/DP180100050
Appears in Collections:Mathematical Sciences publications

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