Skip to main content

Coarse graining, dynamic renormalization and the kinetic theory of shock clustering

Author(s): Li, X; Williams, MO; Kevrekidis, Yannis G.; Menon, G

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1br97
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLi, X-
dc.contributor.authorWilliams, MO-
dc.contributor.authorKevrekidis, Yannis G.-
dc.contributor.authorMenon, G-
dc.date.accessioned2021-10-08T19:58:22Z-
dc.date.available2021-10-08T19:58:22Z-
dc.date.issued2016-02-04en_US
dc.identifier.citationLi, X, Williams, MO, Kevrekidis, IG, Menon, G. (2016). Coarse graining, dynamic renormalization and the kinetic theory of shock clustering. Nonlinearity, 29 (3), 947 - 961. doi:10.1088/0951-7715/29/3/947en_US
dc.identifier.issn0951-7715-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1br97-
dc.description.abstract© 2016 IOP Publishing Ltd & London Mathematical Society. We demonstrate the utility of the equation-free methodology developed by one of the authors (IGK) for the study of scalar conservation laws with disordered initial conditions. The numerical scheme is benchmarked on exact solutions in Burgers turbulence corresponding to Lévy process initial data. For these initial data, the kinetics of shock clustering is described by Smoluchowski's coagulation equation with additive kernel. The equation-free methodology is used to develop a particle scheme that computes self-similar solutions to the coagulation equation, including those with fat tails.en_US
dc.format.extent947 - 961en_US
dc.language.isoen_USen_US
dc.relation.ispartofNonlinearityen_US
dc.rightsAuthor's manuscripten_US
dc.titleCoarse graining, dynamic renormalization and the kinetic theory of shock clusteringen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1088/0951-7715/29/3/947-
dc.identifier.eissn1361-6544-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

Files in This Item:
File Description SizeFormat 
Coarse_graining_dynamic_kinetic_clustering.pdf296.37 kBAdobe PDFView/Download


Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.