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Although the spatially discrete reaction-diffusion equation is often used to describe biological processes, the effect of diffusion in this framework is not fully understood. In the spatially continuous case, the incorporation of diffusion can cause blow-up with respect to the norm, and criteria exist to determine whether the system is bounded for all time. However, no equivalent criteria exist for the discrete reaction-diffusion system. Due to the possible dynamical differences between these two system types and the advantage of using the spatially discrete representation to describe biological processes, it is worth examining the discrete system independently of the continuous system. Therefore, the focus of this paper is on determining sufficient conditions to guarantee that the discrete reaction-diffusion system is bounded for all time. We consider reaction-diffusion systems on a 1D domain with homogeneous Neumann boundary conditions and nonnegative initial data and solutions. We define a Lyapunov-like function and show that its existence guarantees that the discrete reaction-diffusion system is bounded. These results are considered in the context of four example systems for which Lyapunov-like functions can and cannot be found.
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http://dx.doi.org/10.1137/20M131850X | DOI Listing |
IEEE Trans Cybern
September 2025
We study the synchronization of delayed reaction-diffusion neural networks (RDNNs) with Neumann boundary conditions, considering both distributed and discrete delays. Particularly, boundary sampled-data (SD) control is proposed to synchronize delayed RDNNs. In the proposed synchronization strategy, boundary SD control is based on boundary and distributed SD measurements.
View Article and Find Full Text PDFMath Biosci Eng
July 2025
Laboratory of Future Nanomedicines and Theoretical Chronopharmaceutics, Division of Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, Missouri 64108, USA.
Hes1 (Hairy and enhancer of split 1) is a transcriptional repressor that plays a fundamental role in the regulation of embryogenesis and cell lineage specification. The temporal dynamics of Hes1 mRNA and Hes1 protein expression are known to exhibit sustained oscillations. However, many existing mathematical models can reproduce these oscillations only transiently, eventually dampening toward a steady state.
View Article and Find Full Text PDFMath Biosci
September 2025
School of Mathematics, Shandong University, Jinan, China.
This paper primarily explores the dynamics of reaction-diffusion systems with advection effects on discrete networks and establishes a corresponding infectious disease transmission model incorporating delay effects. Initially, we consider the conditions for the existence of the equilibrium point and linearly approximate the time delay near this equilibrium point. Then we discuss the necessary conditions for Turing instability under various constraints based on the approximate system.
View Article and Find Full Text PDFUnlabelled: Regulation of gene silencing in large regions of chromosomes is crucial for development and disease progression, and there has been an increasing interest in using it for new therapeutics. One example of massive gene silencing is X chromosome inactivation (XCI), a process essential for dosage compensation of X-linked genes. During XCI, most genes in the X chromosome are inactivated following the transcription of XIST, an X-linked long noncoding RNA.
View Article and Find Full Text PDFMath Biosci
June 2025
Institut für Mathematik, Universität Innsbruck, Technikerstraße 13, 6020 Innsbruck, Austria. Electronic address:
This note presents an efficient numerical method based on isogeometric analysis (IgA) and an operator splitting approach for solving nonlinear reaction-diffusion systems with cross-diffusion. Such problems are often used in mathematical modeling of developmental biology and are subject to highly rigid reactive and diffusive terms. Similarly, the interactions between substances produce complex morphologies (Roth, 2011) [1].
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