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For a time-delayed reaction-diffusion equation of age-structured single species population, the linear and nonlinear stability of the traveling wavefronts were proved by Gourley [4] and Li-Mei-Wong [8] respectively. The stability results, however, assume the delay-time is sufficiently small. We now prove that the wavefronts remain stable even when the delay-time is arbitrarily large. This essentially improves the previous stability results obtained in [4, 8]. Finally, we point out that this novel stability can be applied to the age-structured reaction-diffusion equation with a more general maturation rate.
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http://dx.doi.org/10.3934/mbe.2009.6.743 | DOI Listing |
Nonlinear Differ Equ Appl
September 2025
Delft Institute of Applied Mathematics, Delft University of Technology, P.O. Box 5031 2600, GA Delft, The Netherlands.
In this survey, we provide an in-depth exposition of our recent results on the well-posedness theory for stochastic evolution equations, employing maximal regularity techniques. The core of our approach is an abstract notion of critical spaces, which, when applied to nonlinear SPDEs, coincides with the concept of scaling-invariant spaces. This framework leads to several sharp blow-up criteria and enables one to obtain instantaneous regularization results.
View Article and Find Full Text PDFBull Math Biol
September 2025
School of Mathematical and Statistical Sciences, University of Texas Rio Grande Valley, Edinburg, Texas, 78539, USA.
Clonorchiasis is a foodborne disease caused by parasites and transmitted to humans through intermediate hosts. Clonorchis sinensis parasitizes in the bile ducts of human liver and causes organ lesions. The cercariae and metacercaria of Clonorchis sinensis have seasonal variations and may be affected by high water temperature in summer.
View Article and Find Full Text PDFPLoS One
August 2025
Institut Camille Jordan, UMRCNRS, University Lyon 1, Villeurbanne, France.
This study investigates the regulation of tissue growth through mathematical modeling of systemic and local feedback mechanisms. Employing reaction-diffusion equations, the models explore the dynamics of tissue growth, emphasizing endocrine signaling and inter-tissue communication. The analysis identifies critical factors influencing the emergence of spatial structures, bifurcation phenomena, the existence and stability of stationary pulse and wave solutions.
View Article and Find Full Text PDFSci Rep
August 2025
Faculty of Data Science and Information Technology, INTI International University, Negeri Sembilan, Malaysia.
In this work, we construct Lyapunov functionals to analyze the global stability of the equilibria in reaction-diffusion systems arising in biological models. We employ Lyapunov functionals originally constructed for associated ordinary differential equation (ODE) models and extend them to partial differential equation (PDE) systems involving spatial diffusion. We analyze disease-free and endemic equilibrium stability in terms of the basic reproduction number [Formula: see text] a threshold parameter.
View Article and Find Full Text PDFMath Biosci
August 2025
Department of Mathematics, Nazarbayev University, 010000 Astana, Kazakhstan. Electronic address:
We investigate a three-dimensional reaction-diffusion model of avascular glioblastoma growth, introducing a new go-or-grow-or-die framework that incorporates reversible phenotypic switching between migratory and proliferative states, while accounting for the contribution of necrotic cells. To model necrotic cell accumulation, a quasi-steady-state approximation is employed, allowing the necrotic population to be expressed as a function of proliferating cell density. Analytical and numerical analyses of the model reveal that the traveling wave speed is consistently lower than that predicted by the classical Fisher-Kolmogorov-Petrovsky-Piskunov equation, highlighting the significance of phenotypic heterogeneity.
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