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  Detection of Hopf bifurcations in chemical reaction networks using convex coordinates

Errami, H., Eiswirth, M., Grigoriev, D., Seiler, W. M., Sturm, T., & Weber, A. (2015). Detection of Hopf bifurcations in chemical reaction networks using convex coordinates. Journal of Computational Physics, 291, 279-302. doi:10.1016/j.jcp.2015.02.050.

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 Creators:
Errami, Hassan1, 2, Author
Eiswirth, Markus3, 4, Author           
Grigoriev, Dima5, Author
Seiler, Werner M.2, Author
Sturm, Thomas6, Author
Weber, Andreas1, Author
Affiliations:
1Institut für Informatik II, Universität Bonn, Bonn, Germany, ou_persistent22              
2Institut für Mathematik, Universität Kassel, Kassel, Germany, ou_persistent22              
3Physical Chemistry, Fritz Haber Institute, Max Planck Society, ou_634546              
4Ertl Center for Electrochemisty and Catalysis, Gwangju Institute of Science and Technology (GIST), South Korea, ou_persistent22              
5CNRS, Mathematiques, Universite de Lille, Villeneuve d'Ascq, 59655, France, ou_persistent22              
6Automation of Logic, MPI for Informatics, Max Planck Society, ou_1116545              

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Free keywords: Hopf Bifurcation, Chemical Reaction Networks, Convex Coordinates, Stoichiometric Network Analysis
 Abstract: We present ecient algorithmic methods to detect Hopf bifurcation xed
points in chemical reaction networks with symbolic rate constants, thereby
yielding information about the oscillatory behavior of the networks. Our
methods use the representations of the systems on convex coordinates that
arise from stoichiometric network analysis. One of our methods then reduces
the problem of determining the existence of Hopf bifurcation xed points to a
rst-order formula over the ordered eld of the reals that can be solved using
computational logic packages. The second method uses ideas from tropical
geometry to formulate a more ecient method that is incomplete in theory
but worked very well for the examples that we have attempted; we have
shown it to be able to handle systems involving more than 20 species.

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Language(s): eng - English
 Dates: 2015-02-242013-09-152015-02-242015-03-162015-06-15
 Publication Status: Issued
 Pages: 24
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jcp.2015.02.050
 Degree: -

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Title: Journal of Computational Physics
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier B.V.
Pages: - Volume / Issue: 291 Sequence Number: - Start / End Page: 279 - 302 Identifier: ISSN: 0021-9991
CoNE: https://pure.mpg.de/cone/journals/resource/954922645031