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CRITICAL TIMESCALES AND TIME INTERVALS FOR COUPLED LINEAR PROCESSES

Published online by Cambridge University Press:  22 April 2013

MATTHEW J. SIMPSON*
Affiliation:
Mathematical Sciences, Queensland University of Technology, Brisbane 4001, Australia email [email protected]@qut.edu.au
ADAM J. ELLERY
Affiliation:
Mathematical Sciences, Queensland University of Technology, Brisbane 4001, Australia email [email protected]@qut.edu.au
SCOTT W. MCCUE
Affiliation:
Mathematical Sciences, Queensland University of Technology, Brisbane 4001, Australia email [email protected]@qut.edu.au
RUTH E. BAKER
Affiliation:
Centre for Mathematical Biology, Mathematical Institute, University of Oxford, 24–29 St Giles’, Oxford OX1 3LB, UK email [email protected]
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Abstract

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In 1991, McNabb introduced the concept of mean action time (MAT) as a finite measure of the time required for a diffusive process to effectively reach steady state. Although this concept was initially adopted by others within the Australian and New Zealand applied mathematics community, it appears to have had little use outside this region until very recently, when in 2010 Berezhkovskii and co-workers [A. M. Berezhkovskii, C. Sample and S. Y. Shvartsman, “How long does it take to establish a morphogen gradient?” Biophys. J. 99 (2010) L59–L61] rediscovered the concept of MAT in their study of morphogen gradient formation. All previous work in this area has been limited to studying single-species differential equations, such as the linear advection–diffusion–reaction equation. Here we generalize the concept of MAT by showing how the theory can be applied to coupled linear processes. We begin by studying coupled ordinary differential equations and extend our approach to coupled partial differential equations. Our new results have broad applications, for example the analysis of models describing coupled chemical decay and cell differentiation processes.

MSC classification

Type
Research Article
Copyright
Copyright ©2013 Australian Mathematical Society 

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