Generalized MassAction Systems and Positive Solutions of Polynomial Equations with Real and Symbolic Exponents
Abstract
Dynamical systems arising from chemical reaction networks with mass action kinetics are the subject of chemical reaction network theory (CRNT). In particular, this theory provides statements about uniqueness, existence, and stability of positive steady states for all rate constants and initial conditions. In terms of the corresponding polynomial equations, the results guarantee uniqueness and existence of positive solutions for all positive parameters. We address a recent extension of CRNT, called generalized massaction systems, where reaction rates are allowed to be powerlaws in the concentrations. In particular, the (real) kinetic orders can differ from the (integer) stoichiometric coefficients. As with massaction kinetics, complex balancing equilibria are determined by the graph Laplacian of the underlying network and can be characterized by binomial equations and parametrized by monomials. In algebraic terms, we focus on a constructive characterization of positive solutions of polynomial equations with real and symbolic exponents. Uniqueness and existence for all rate constants and initial conditions additionally depend on sign vectors of the stoichiometric and kineticorder subspaces. This leads to a generalization of Birch's theorem, which is robust with respect to certain perturbations in the exponents. In this context, we discuss the occurrence of multiple complex balancing equilibria. We illustrate our results by a running example and provide a MAPLE worksheet with implementations of all algorithmic methods.
 Publication:

arXiv eprints
 Pub Date:
 June 2014
 arXiv:
 arXiv:1406.6587
 Bibcode:
 2014arXiv1406.6587M
 Keywords:

 Mathematics  Dynamical Systems;
 Computer Science  Computational Engineering;
 Finance;
 and Science;
 Mathematics  Algebraic Geometry;
 Quantitative Biology  Molecular Networks;
 37C10;
 70K42;
 80A30;
 13P15;
 68W30;
 52C40
 EPrint:
 22 pages