Applications of Partial Differential Equations, 2nd Edition

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

Deadline for manuscript submissions: 28 February 2025 | Viewed by 3034

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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Interests: differential equations; difference equations; integral equations; numerical analysis
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Special Issue Information

Dear Colleagues,

Partial differential equations are indispensable in modeling various phenomena and processes in many fields, such as physics, biology, finance, and engineering. The study on the solutions of partial differential equations, be it on the qualitative theory or quantitative methods, as well as the applications of such investigations to real-world problems, have garnered significant interest of researchers.

This Special Issue "Applications of Partial Differential Equations, 2nd Edition", aims to collect original and significant contributions on the following:

  • Applications of partial differential equations in modeling real-world phenomena;
  • Qualitative theory on the solutions of partial differential equations;
  • Analytical or numerical methods for solving partial differential equations.

Investigations on partial differential equations involving fractional derivatives with respect to at least one of the independent variables are also welcome.

Dr. Patricia J. Y. Wong
Guest Editor

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Keywords

  • nonlinear partial differential equations
  • diffusion equations
  • wave-type equations
  • partial differential equations with delay
  • partial functional differential equations
  • fractional partial differential equations
  • numerical solution
  • analytical solution
  • modeling

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Published Papers (4 papers)

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Research

23 pages, 4312 KiB  
Article
Numerical Solution to the Time-Fractional Burgers–Huxley Equation Involving the Mittag-Leffler Function
by Afzaal Mubashir Hayat, Muhammad Bilal Riaz, Muhammad Abbas, Moataz Alosaimi, Adil Jhangeer and Tahir Nazir
Mathematics 2024, 12(13), 2137; https://doi.org/10.3390/math12132137 - 7 Jul 2024
Viewed by 536
Abstract
Fractional differential equations play a significant role in various scientific and engineering disciplines, offering a more sophisticated framework for modeling complex behaviors and phenomena that involve multiple independent variables and non-integer-order derivatives. In the current research, an effective cubic B-spline collocation method is [...] Read more.
Fractional differential equations play a significant role in various scientific and engineering disciplines, offering a more sophisticated framework for modeling complex behaviors and phenomena that involve multiple independent variables and non-integer-order derivatives. In the current research, an effective cubic B-spline collocation method is used to obtain the numerical solution of the nonlinear inhomogeneous time-fractional Burgers–Huxley equation. It is implemented with the help of a θ-weighted scheme to solve the proposed problem. The spatial derivative is interpolated using cubic B-spline functions, whereas the temporal derivative is discretized by the Atangana–Baleanu operator and finite difference scheme. The proposed approach is stable across each temporal direction as well as second-order convergent. The study investigates the convergence order, error norms, and graphical visualization of the solution for various values of the non-integer parameter. The efficacy of the technique is assessed by implementing it on three test examples and we find that it is more efficient than some existing methods in the literature. To our knowledge, no prior application of this approach has been made for the numerical solution of the given problem, making it a first in this regard. Full article
(This article belongs to the Special Issue Applications of Partial Differential Equations, 2nd Edition)
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19 pages, 1047 KiB  
Article
Stability Analysis and Hopf Bifurcation for the Brusselator Reaction–Diffusion System with Gene Expression Time Delay
by Hassan Y. Alfifi and Saad M. Almuaddi
Mathematics 2024, 12(8), 1170; https://doi.org/10.3390/math12081170 - 13 Apr 2024
Viewed by 716
Abstract
This paper investigates the effect of a gene expression time delay on the Brusselator model with reaction and diffusion terms in one dimension. We obtain ODE systems analytically by using the Galerkin method. We determine a condition that assists in showing the existence [...] Read more.
This paper investigates the effect of a gene expression time delay on the Brusselator model with reaction and diffusion terms in one dimension. We obtain ODE systems analytically by using the Galerkin method. We determine a condition that assists in showing the existence of theoretical results. Full maps of the Hopf bifurcation regions of the stability analysis are studied numerically and theoretically. The influences of two different sources of diffusion coefficients and gene expression time delay parameters on the bifurcation diagram are examined and plotted. In addition, the effect of delay and diffusion values on all other free parameters in this system is shown. They can significantly affect the stability regions for both control parameter concentrations through the reaction process. As a result, as the gene expression time delay increases, both control concentration values increase, while the Hopf points for both diffusion coefficient parameters decrease. These values can impact solutions in the bifurcation regions, causing the region of instability to grow. In addition, the Hopf bifurcation points for the diffusive and non-diffusive cases as well as delay and non-delay cases are studied for both control parameter concentrations. Finally, various examples and bifurcation diagrams, periodic oscillations, and 2D phase planes are provided. There is close agreement between the theoretical and numerical solutions in all cases. Full article
(This article belongs to the Special Issue Applications of Partial Differential Equations, 2nd Edition)
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15 pages, 273 KiB  
Article
Boundedness of Solutions for an Attraction–Repulsion Model with Indirect Signal Production
by Jie Wu and Yujie Huang
Mathematics 2024, 12(8), 1143; https://doi.org/10.3390/math12081143 - 10 Apr 2024
Cited by 8 | Viewed by 815
Abstract
In this paper, we consider the following two-dimensional chemotaxis system of attraction–repulsion with indirect signal production [...] Read more.
In this paper, we consider the following two-dimensional chemotaxis system of attraction–repulsion with indirect signal production 𝜕tu=Δu·χ1uv1+·(χ2uv2),xR2,t>0,0=Δvjλjvj+w,xR2,t>0,(j=1,2),𝜕tw+δw=u,xR2,t>0,u(0,x)=u0(x),w(0,x)=w0(x),xR2, where the parameters χi0, λi>0(i=1,2) and non-negative initial data (u0(x),w0(x))L1(R2)L(R2). We prove the global bounded solution exists when the attraction is more dominant than the repulsion in the case of χ1χ2. At the same time, we propose that when the radial solution satisfies χ1χ22πδu0L1(R2)+w0L1(R2), the global solution is bounded. During the proof process, we found that adding indirect signals can constrict the blow-up of the global solution. Full article
(This article belongs to the Special Issue Applications of Partial Differential Equations, 2nd Edition)
16 pages, 2392 KiB  
Article
Distributed Fault Diagnosis via Iterative Learning for Partial Differential Multi-Agent Systems with Actuators
by Cun Wang, Zupeng Zhou and Jingjing Wang
Mathematics 2024, 12(7), 955; https://doi.org/10.3390/math12070955 - 23 Mar 2024
Cited by 1 | Viewed by 587
Abstract
Component failures can lead to performance degradation or even failure in multi-agent systems, thus necessitating the development of fault diagnosis methods. Addressing the distributed fault diagnosis problem in a class of partial differential multi-agent systems with actuators, a fault estimator is designed under [...] Read more.
Component failures can lead to performance degradation or even failure in multi-agent systems, thus necessitating the development of fault diagnosis methods. Addressing the distributed fault diagnosis problem in a class of partial differential multi-agent systems with actuators, a fault estimator is designed under the introduction of virtual faults to the agents. A P-type iterative learning control protocol is formulated based on the residual signals, aiming to adjust the introduced virtual faults. Through rigorous mathematical analysis utilizing contraction mapping and the Bellman–Gronwall lemma, sufficient conditions for the convergence of this protocol are derived. The results indicate that the learning protocol ensures the tracking of virtual faults to actual faults, thereby facilitating fault diagnosis for the systems. Finally, the effectiveness of the learning protocol is validated through numerical simulation. Full article
(This article belongs to the Special Issue Applications of Partial Differential Equations, 2nd Edition)
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