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zbMATH Open
Article . 2021
Data sources: zbMATH Open
SIAM Journal on Applied Mathematics
Article . 2021 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2020
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Distributed Delay Differential Equation Representations of Cyclic Differential Equations

Distributed delay differential equation representations of cyclic differential equations
Authors: Tyler Cassidy;

Distributed Delay Differential Equation Representations of Cyclic Differential Equations

Abstract

Compartmental ordinary differential equation (ODE) models are used extensively in mathematical biology. When transit between compartments occurs at a constant rate, the well-known linear chain trick can be used to show that the ODE model is equivalent to an Erlang distributed delay differential equation (DDE). Here, we demonstrate that compartmental models with non-linear transit rates and possibly delayed arguments are also equivalent to a scalar distributed delay differential equation. To illustrate the utility of these equivalences, we calculate the equilibria of the scalar DDE, and compute the characteristic function-- without calculating a determinant. We derive the equivalent scalar DDE for two examples of models in mathematical biology and use the DDE formulation to identify physiological processes that were otherwise hidden by the compartmental structure of the ODE model.

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Keywords

delay differential equations, Transformation and reduction of functional-differential equations and systems, normal forms, infinite delay equations, Dynamical Systems (math.DS), Quantitative Biology - Quantitative Methods, Integro-ordinary differential equations, Population dynamics (general), FOS: Biological sciences, FOS: Mathematics, linear chain trick, mathematical biology, Mathematics - Dynamical Systems, Quantitative Methods (q-bio.QM)

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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!
6
Top 10%
Average
Top 10%
Green
bronze