[Institute of Computational and Modeling Science]UNIFIED ASYMPTOTIC ANALYSIS AND NUMERICAL SIMULATIONS OF SINGULARLY PERTURBED LINEAR DIFFERENTIAL EQUATIONS UNDER VARIOUS NONLOCAL BOUNDARY EFFECTS
Sustainable Development Goals
Abstract/Objectives
Results/Contributions
For singularly perturbed linear differential equations constrained by boundary conditions, it is challenging to determine their exact solutions, and the effectiveness of the maximum principle cannot be guaranteed. Therefore, accurately identifying boundary asymptotics has become an important challenge. To address this challenge, we have developed a rigorous asymptotic method aimed at recovering boundary data and enhancing the accuracy and reliability of the solutions. The core of this method lies in transforming 'non-local' boundary conditions into 'local' boundary conditions, thereby simplifying the complexity of the problem. Through 'logarithmic' estimates, we obtained refined boundary asymptotics under singular perturbation parameters, which aids in a deeper understanding of the system's long-term behavior. Additionally, for the non-homogeneous case, we revealed a diverse range of asymptotic behaviors, including uniform boundedness and asymptotic blow-up, which are significant for predicting and controlling the system's dynamic evolution. Numerical simulations and validations further support the corresponding theoretical results, confirming the effectiveness and accuracy of our method. Considering sustainability, our approach not only aids in understanding and predicting various phenomena arising in the natural sciences and engineering, such as climate models and ecosystem dynamics, but can also be applied to optimize resource allocation, improve energy efficiency, and develop more resilient infrastructure.