Reactant subspaces and kinetics of chemical reaction networks
Autor: | Carlene Perpetua P. Arceo, Eduardo R. Mendoza, Angelyn Lao, Editha C. Jose |
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Rok vydání: | 2017 |
Předmět: |
Pure mathematics
Work (thermodynamics) 010304 chemical physics Rank (linear algebra) Chemistry Quantitative Biology::Molecular Networks Applied Mathematics Zero (complex analysis) Chemical reaction network theory General Chemistry 01 natural sciences Linear subspace 010101 applied mathematics Combinatorics 0103 physical sciences Uniqueness Physics::Chemical Physics 0101 mathematics Subspace topology Stoichiometry |
Zdroj: | Journal of Mathematical Chemistry. 56:395-422 |
ISSN: | 1572-8897 0259-9791 |
DOI: | 10.1007/s10910-017-0809-x |
Popis: | This paper studies a chemical reaction network’s (CRN) reactant subspace, i.e. the linear subspace generated by its reactant complexes, to elucidate its role in the system’s kinetic behaviour. We introduce concepts such as reactant rank and reactant deficiency and compare them with their analogues currently used in chemical reaction network theory. We construct a classification of CRNs based on the type of intersection between the reactant subspace R and the stoichiometric subspace S and identify the subnetwork of S-complexes, i.e. complexes which, when viewed as vectors, are contained in S, as a tool to study the network classes, which play a key role in the kinetic behaviour. Our main results on new connections between reactant subspaces and kinetic properties are (1) determination of kinetic characteristics of CRNs with zero reactant deficiency by considering the difference between (network) deficiency and reactant deficiency, (2) resolution of the coincidence problem between the reactant and kinetic subspaces for complex factorizable kinetics via an analogue of the generalized Feinberg–Horn theorem, and (3) construction of an appropriate subspace for the parametrization and uniqueness of positive equilibria for complex factorizable power law kinetics, extending the work of Muller and Regensburger. |
Databáze: | OpenAIRE |
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