期刊
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B
卷 17, 期 6, 页码 2153-2170出版社
AMER INST MATHEMATICAL SCIENCES
DOI: 10.3934/dcdsb.2012.17.2153
关键词
Biochemical reaction networks; multistability; Jacobian conjecture; global injectivity
资金
- National Institutes of Health grant [R01GM086881]
- Swiss National Science Foundation (SNSF) [PP00P2_128503]
- Swiss National Science Foundation (SNF) [PP00P2_128503] Funding Source: Swiss National Science Foundation (SNF)
Dynamical system models of complex biochemical reaction networks are high-dimensional, nonlinear, and contain many unknown parameters. The capacity for multiple equilibria in such systems plays a key role in important biochemical processes. Examples show that there is a very delicate relationship between the structure of a reaction network and its capacity to give rise to several positive equilibria. In this paper we focus on networks of reactions governed by mass-action kinetics. As is almost always the case in practice, we assume that no reaction involves the collision of three or more molecules at the same place and time, which implies that the associated mass-action differential equations contain only linear and quadratic terms. We describe a general injectivity criterion for quadratic functions of several variables, and relate this criterion to a network's capacity for multiple equilibria. In order to take advantage of this criterion we look for explicit general conditions that imply non-vanishing of polynomial functions on the positive orthant. In particular, we investigate in detail the case of polynomials with only one negative monomial, and we fully characterize the case of affinely independent exponents. We describe several examples, including an example that shows how these methods may be used for designing multistable chemical systems in synthetic biology.
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