Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2760
DC FieldValueLanguage
dc.contributor.authorLeung, Andrew Yee Taken_US
dc.contributor.otherYu, P.-
dc.date.accessioned2022-03-25T06:42:59Z-
dc.date.available2022-03-25T06:42:59Z-
dc.date.issued2003-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2760-
dc.description.abstractRecently, further reduction on normal forms of differential equations leading to the simplest normal forms (SNFs) has received considerable attention. However, the computation of the SNF has been mainly restricted to systems which do not contain perturbation parameters (unfolding), since the computation of the SNF with unfolding is much more complicated than that of the SNF without unfolding. From the practical point of view, only the SNF with perturbation (bifurcation) parameters is useful in analysing physical or engineering problems. It is shown that the SNF with unfolding cannot be obtained using only near-identity transformation. Additional transformations such as time and parameter rescaling need to be introduced. An efficient computational method is presented for computing the algebraic equations that can be used to find the SNF. A physical example is given to show the applicability of the new method.en_US
dc.language.isoenen_US
dc.publisherIOP Publishing Ltden_US
dc.relation.ispartofNonlinearityen_US
dc.titleThe simplest normal form of Hopf bifurcationen_US
dc.typejournal articleen_US
dc.identifier.doi10.1088/0951-7715/16/1/317-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn1361-6544en_US
dc.description.volume16en_US
dc.description.issue1en_US
dc.description.startpage277-
dc.description.endpage300-
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.openairetypejournal article-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
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