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The Quasi-Steady-State Assumption: A Case Study in Perturbation

The quasi-steady-state assumption: A case study in perturbation
Authors: Segel, Lee A.; Slemrod, Marshall;

The Quasi-Steady-State Assumption: A Case Study in Perturbation

Abstract

Summary: The quasi-steady-state assumption (QSSA) of biochemistry is studied as an approximation that is important in itself and also that exemplifies an approach to ODE systems with an initial fast transient. Simple estimates of the two relevant time scales of the underlying problem are made. These estimates lead to a dimensionless formulation containing a different small parameter from that which is customary. Earlier results on the QSSA are surveyed in the context of the new nondimensionalization. It is shown that more comprehensive and simpler error estimates can now be made. Some general methodological hints are drawn from this example.

Keywords

quasi-steady-state assumption, error estimates, scaling, Singular perturbations for ordinary differential equations, Physiological, cellular and medical topics, Michaelis-Menten approximation, fast transient, Singular perturbations of ordinary differential equations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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