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Numerical methods and hypoexponential approximations for gamma distributed delay differential equations.

Authors :
Cassidy T
Gillich P
Humphries AR
van Dorp CH
Source :
IMA journal of applied mathematics [IMA J Appl Math] 2022 Dec 13; Vol. 87 (6), pp. 1043-1089. Date of Electronic Publication: 2022 Dec 13 (Print Publication: 2022).
Publication Year :
2022

Abstract

Gamma distributed delay differential equations (DDEs) arise naturally in many modelling applications. However, appropriate numerical methods for generic gamma distributed DDEs have not previously been implemented. Modellers have therefore resorted to approximating the gamma distribution with an Erlang distribution and using the linear chain technique to derive an equivalent system of ordinary differential equations (ODEs). In this work, we address the lack of appropriate numerical tools for gamma distributed DDEs in two ways. First, we develop a functional continuous Runge-Kutta (FCRK) method to numerically integrate the gamma distributed DDE without resorting to Erlang approximation. We prove the fourth-order convergence of the FCRK method and perform numerical tests to demonstrate the accuracy of the new numerical method. Nevertheless, FCRK methods for infinite delay DDEs are not widely available in existing scientific software packages. As an alternative approach to solving gamma distributed DDEs, we also derive a hypoexponential approximation of the gamma distributed DDE. This hypoexponential approach is a more accurate approximation of the true gamma distributed DDE than the common Erlang approximation but, like the Erlang approximation, can be formulated as a system of ODEs and solved numerically using standard ODE software. Using our FCRK method to provide reference solutions, we show that the common Erlang approximation may produce solutions that are qualitatively different from the underlying gamma distributed DDE. However, the proposed hypoexponential approximations do not have this limitation. Finally, we apply our hypoexponential approximations to perform statistical inference on synthetic epidemiological data to illustrate the utility of the hypoexponential approximation.<br /> (© The Author(s) 2022. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.)

Details

Language :
English
ISSN :
0272-4960
Volume :
87
Issue :
6
Database :
MEDLINE
Journal :
IMA journal of applied mathematics
Publication Type :
Academic Journal
Accession number :
36691452
Full Text :
https://doi.org/10.1093/imamat/hxac027