Applied Analysis of Ordinary Differential Equations 2020

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Difference and Differential Equations".

Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 7374

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School of Mathematical Sciences, University of Adelaide, Adelaide, SA 5005, Australia
Interests: applied analysis and modeling; nonlinear dynamics; ordinary differential equations; chaotic mixing; nonautonomous systems; stochastic differential equations; fluid dynamics; geophysical fluid dynamics; microfluidics; combustion; biology of growth (tissues, yeast, cells, invasive species); data-driven modeling
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Special Issue Information

Dear Colleagues,

One might say that ordinary differential equations (notably in Isaac Newton’s analysis of the motion of celestial bodies) had a central role in the development of modern applied mathematics.  This special issue is devoted to research articles which build on this spirit: combining analysis with applications of ordinary differential equations (ODEs).

ODEs arise across a spectrum of applications in physics, engineering, geophysics, biology, chemistry, economics, etc., because the rules governing the time-variation of relevant fields is often naturally expressed in terms of relationships between rates-of-change. ODEs also emerge in stochastic models—for example when considering the evolution of a probability density function—and in large networks of interconnected agents. The increasing ease of numerically simulating large systems of ODEs has resulted in a plethora of publications in this area; nevertheless, the difficulty of parametrizing models means that computational results by themselves are sometimes questionable. Therefore, analysis cannot be ignored.

This Special Issue solicits articles that possess both the following features: interesting applications, and mathematical analysis driven by such applications.  Novel and innovative applications of ODEs are particularly welcome, as are unconventional ways of using rigorous mathematics to obtain intuition in applications.

Prof. Dr. Sanjeeva Balasuriya
Guest Editor

Manuscript Submission Information

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Keywords

  • ordinary differential equations
  • dynamical systems
  • applied analysis
  • regular and singular perturbations
  • asymptotic analysis
  • multiple time scales
  • stability of solutions
  • bifurcations
  • resonance
  • chaos
  • attractors
  • boundary value problems
  • spectral theory
  • control theory
  • stochastic ordinary differential equations
  • impulsive differential equations
  • fractional differential equations
  • differential equations on lattices/networks

Published Papers (3 papers)

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Research

15 pages, 970 KiB  
Article
Dynamic Behaviors of a Single Species Stage Structure Model with Michaelis–Menten-TypeJuvenile Population Harvesting
by Xiangqin Yu, Zhenliang Zhu and Fengde Chen
Mathematics 2020, 8(8), 1281; https://doi.org/10.3390/math8081281 - 03 Aug 2020
Cited by 10 | Viewed by 1731
Abstract
A single species stage structure model with Michaelis–Menten-type juvenile population harvesting is proposed and investigated. The existence and local stability of the model equilibria are studied. It shows that for the model, two cases of bistability may exist. Some conditions for the global [...] Read more.
A single species stage structure model with Michaelis–Menten-type juvenile population harvesting is proposed and investigated. The existence and local stability of the model equilibria are studied. It shows that for the model, two cases of bistability may exist. Some conditions for the global asymptotic stability of the boundary equilibrium are derived by constructing some suitable Lyapunov functions. After that, based on the Bendixson–Dulac discriminant, we obtain the sufficient conditions for the global asymptotic stability of the internal equilibrium. Our study shows that nonlinear harvesting can make the dynamics of the system more complex than linear harvesting; for example, the system may admit the bistable stability property. Numeric simulations support our theoretical results. Full article
(This article belongs to the Special Issue Applied Analysis of Ordinary Differential Equations 2020)
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24 pages, 855 KiB  
Article
A Discontinuous ODE Model of the Glacial Cycles with Diffusive Heat Transport
by James Walsh and Esther Widiasih
Mathematics 2020, 8(3), 316; https://doi.org/10.3390/math8030316 - 01 Mar 2020
Cited by 4 | Viewed by 3239
Abstract
We present a new discontinuous ordinary differential equation (ODE) model of the glacial cycles. Model trajectories flip from a glacial to an interglacial state, and vice versa, via a switching mechanism motivated by ice sheet mass balance principles. Filippov’s theory of differential inclusions [...] Read more.
We present a new discontinuous ordinary differential equation (ODE) model of the glacial cycles. Model trajectories flip from a glacial to an interglacial state, and vice versa, via a switching mechanism motivated by ice sheet mass balance principles. Filippov’s theory of differential inclusions is used to analyze the system, which can be viewed as a nonsmooth geometric singular perturbation problem. We prove the existence of a unique limit cycle, corresponding to the Earth’s glacial cycles. The diffusive heat transport component of the model is ideally suited for investigating the competing temperature gradient and transport efficiency feedbacks, each associated with ice-albedo feedback. It is the interplay of these feedbacks that determines the maximal extent of the ice sheet. In the nonautonomous setting, model glacial cycles persist when subjected to external forcing brought on by changes in Earth’s orbital parameters over geologic time. The system also exhibits various bifurcation scenarios as key parameters vary. Full article
(This article belongs to the Special Issue Applied Analysis of Ordinary Differential Equations 2020)
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13 pages, 918 KiB  
Article
The Extinction of a Non-Autonomous Allelopathic Phytoplankton Model with Nonlinear Inter-Inhibition Terms and Feedback Controls
by Liang Zhao, Fengde Chen, Saixi Song and Guizhen Xuan
Mathematics 2020, 8(2), 173; https://doi.org/10.3390/math8020173 - 02 Feb 2020
Cited by 5 | Viewed by 1505
Abstract
A non-autonomous allelopathic phytoplankton model with nonlinear inter-inhibition terms and feedback controls is studied in this paper. Based on the comparison theorem of differential equation, some sufficient conditions for the permanence of the system are obtained. We study the extinction of one of [...] Read more.
A non-autonomous allelopathic phytoplankton model with nonlinear inter-inhibition terms and feedback controls is studied in this paper. Based on the comparison theorem of differential equation, some sufficient conditions for the permanence of the system are obtained. We study the extinction of one of the species by using some suitable Lyapunov type extinction function. Our analyses extend those of Xie et al. (Extinction of a two species competitive system with nonlinear inter-inhibition terms and one toxin producing phytoplankton. Advances in Difference Equations, 2016, 2016, 258) and show that the feedback controls and toxic substances have no effect on the permanence of the system but play a crucial role on the extinction of the system. Some known results are extended. Full article
(This article belongs to the Special Issue Applied Analysis of Ordinary Differential Equations 2020)
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