Multistationarity in Biochemical Reaction Networks

  • Carsten Conradi (Hochschule für Technik und Wirtschaft Berlin)
E1 05 (Leibniz-Saal)


Multistationarity and switching have been recognized as important features of dynamical systems originating in Biology. Often these properties are established numerically. However, parameter uncertainty complicates numerical analysis. Hence techniques allowing the analytic computation of parameters where a given system exhibits either multistationarity or switching are desirable. We present conditions in form of polynomial systems that allow to determine parameter vectors where a mass action system exhibits multistationarity or switching. These polynomial systems arise from the structure of the reaction network and hence are not affected by parameter uncertainty.

Saskia Gutzschebauch

Max-Planck-Institut für Mathematik in den Naturwissenschaften Contact via Mail

Anna Seigal

University of California (Berkeley), USA

Jacinta Torres

Max-Planck-Institut für Mathematik in den Naturwissenschaften (Leipzig), Germany