利用阿坦加纳-巴莱亚努-卡普托分数导数与定点法计算尼帕病毒模型的海尔-乌兰稳定性

S. Dhivya , V. Govindan , Choonkil Park , Siriluk Donganont
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引用次数: 0

摘要

在本研究中,我们采用阿坦加纳-巴莱亚努-卡普托分数导数 (ABCFD) 和定点法 (FPA),通过分数微分方程 (FDE) 的视角对尼帕病毒的动态进行了新颖的研究。这项工作的核心贡献在于建立了拟议 FDE 的解的存在性和唯一性,这是验证模型的关键步骤。此外,我们还探索了这些广义 FDE 的海尔-乌兰(HU)稳定性,为病毒动力学背景下的稳定性分析提供了严格的数学基础。通过利用 ABCFD,我们的工作扩展了经典稳定性标准,为疾病建模中记忆效应的作用提供了新的见解。此外,我们还提出了各种区间和分数阶的近似解,突出了系统对关键参数的敏感性。使用 Cullis 方法进行的数值模拟说明了分数阶数的影响,并验证了理论发现,使这项工作成为将分数微积分应用于流行病学模型的重大进展。
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Hyers–Ulam stability of Nipah virus model using Atangana–Baleanu–Caputo fractional derivative with fixed point method
In this study, we present a novel investigation into the dynamics of the Nipah virus through the lens of fractional differential equations (FDEs), employing the Atangana–Baleanu–Caputo fractional derivative (ABCFD) and the fixed-point approach (FPA). The core contribution of this work lies in establishing the existence and uniqueness of solutions to the proposed FDEs, a critical step for validating the model. Furthermore, we explore the Hyers–Ulam (HU) stability of these generalized FDEs, providing a rigorous mathematical foundation for the stability analysis within the context of viral dynamics. By leveraging the ABCFD, our work extends the classical stability criteria, offering new insights into the role of memory effects in disease modeling. Additionally, we present approximate solutions across various compartments and fractional orders, highlighting the sensitivity of the system to key parameters. Numerical simulations, conducted using the Cullis method, illustrate the impact of fractional orders and validate the theoretical findings, positioning this work as a significant advancement in the application of fractional calculus to epidemiological models.
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来源期刊
CiteScore
6.20
自引率
0.00%
发文量
138
审稿时长
14 weeks
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