Transit times and mean ages for nonautonomous and autonomous compartmental systems
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Accepted version
Published version
Author(s)
Type
Journal Article
Abstract
We develop a theory for transit times and mean ages for nonautonomous compartmental systems. Using the McKendrick–von Förster equation, we show that the mean ages of mass in a compartmental system satisfy a linear nonautonomous ordinary differential equation that is exponentially stable. We then define a nonautonomous version of transit time as the mean age of mass leaving the compartmental system at a particular time and show that our nonautonomous theory generalises the autonomous case. We apply these results to study a nine-dimensional nonautonomous compartmental system modeling the terrestrial carbon cycle, which is a modification of the Carnegie–Ames–Stanford approach model, and we demonstrate that the nonautonomous versions of transit time and mean age differ significantly from the autonomous quantities when calculated for that model.
Date Issued
2016-12-01
Date Acceptance
2016-03-12
Citation
Journal of Mathematical Biology, 2016, 73 (6), pp.1379-1398
ISSN
1432-1416
Publisher
Springer Verlag (Germany)
Start Page
1379
End Page
1398
Journal / Book Title
Journal of Mathematical Biology
Volume
73
Issue
6
Copyright Statement
© The Author(s) 2016. This article is published with open access at Springerlink.com
License URL
Sponsor
Commission of the European Communities
Engineering & Physical Science Research Council (EPSRC)
Grant Number
643073
EP/I004165/1
Subjects
Science & Technology
Life Sciences & Biomedicine
Biology
Mathematical & Computational Biology
Life Sciences & Biomedicine - Other Topics
Carbon cycle
CASA model
Compartmental system
Exponential stability
Linear system
McKendrick-von Forster equation
Mean age
Nonautonomous dynamical system
Transit time
CARBON-CYCLE
SOIL RESPIRATION
MODEL
CO2
DICHOTOMY
CASA model
Carbon cycle
Compartmental system
Exponential stability
Linear system
McKendrick–von Förster equation
Mean age
Nonautonomous dynamical system
Transit time
Carbon Cycle
Models, Biological
Time Factors
Models, Biological
Time Factors
Carbon Cycle
math.DS
math.DS
34A30, 34D05
Bioinformatics
01 Mathematical Sciences
06 Biological Sciences
Publication Status
Published
Date Publish Online
2016-04-01