Stability and
Instability in Complex Chemical Reaction Networks: The Big Picture
Abstract:
In nature there are millions of
distinct networks of chemical reactions that might present themselves
for study at one time or another. Written at the level of elementary
reactions taken with classical mass action kinetics, each new network
gives rise to its own (usually large) system of polynomial differential
equations governing the species concentrations. In this way, chemistry
presents a huge and bewildering array of polynomial systems, each
determined in a precise way by the underlying network up to parameter
values (e.g., rate constants). Polynomial systems in general,
even simple ones, are known to be rich sources of interesting and
sometimes wild dynamical behavior. It would appear, then, that
chemistry too should be a rich source of dynamical exotica.
Yet there is a remarkable amount of
stability in chemistry. Indeed, chemists and chemical engineers
generally expect homogeneous isothermal reactors, even complex ones, to
admit precisely one (globally attractive) equilibrium. Although this
tacit doctrine is supported by a long observational record, there are
certainly instances of homogeneous isothermal reactors that give rise,
for example, to multiple equilibria. The vast landscape of chemical
reaction networks, then, appears to have wide regions of intrinsic
stability (regardless of parameter values) punctuated by far smaller
regions in which instability might be extant (for at least certain
parameter values).
In this talk, I will present some
recent joint work with Gheorghe Craciun that goes a long way toward
explaining this landscape - in particular, toward explaining how
biological chemistry "escapes" the stability doctrine to (literally)
"make life interesting."
Reference: Craciun, G., Tang, Y. and
Feinberg, M., Understanding Bistability in Complex Enzyme-Driven
Reaction Networks, PNAS, 103, 8697-8702 (2006).