On the Solvability of Time-Fractional Spatio-Temporal COVID-19 Model with Non-linear Diffusion

IF 1.4 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Iranian Journal of Science and Technology, Transactions A: Science Pub Date : 2024-07-15 DOI:10.1007/s40995-024-01663-3
Y. Sudha, V. N. Deiva Mani, K. Murugesan
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Abstract

COVID-19 (Coronavirus Disease-2019) is a highly contagious disease that began spreading towards the end of 2019 and quickly became a global pandemic. Despite extensive efforts taken by public health authorities and policymakers, the disease continues to persist globally. To overcome this scenario, we construct a spatio-temporal time-fractional COVID-19 model that incorporates non-linear density dependent diffusion coefficients as well as the Caputo time-fractional derivative, which captures the disease dynamics more relevantly. The main objective of this article is to explore the existence and uniqueness of global weak solutions for the proposed model. We first construct weak solutions as sequences in a finite-dimensional space. We then ensure the convergence of these sequences through energy estimates and compactness results, thereby establishing the existence of weak solutions for the proposed model using the Faedo–Galerkin method. We then prove the uniqueness of weak solutions. Finally, we study stability of the model in the Mittag–Leffler sense.

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论具有非线性扩散的时间-分数时空 COVID-19 模型的可解性
COVID-19(冠状病毒病-2019)是一种传染性极强的疾病,于2019年年底开始传播,并迅速成为一种全球性流行病。尽管公共卫生当局和政策制定者做出了大量努力,但该疾病仍在全球范围内持续存在。为了克服这种情况,我们构建了一个时空时分式 COVID-19 模型,该模型纳入了非线性密度依赖扩散系数以及卡普托时分式导数,更贴切地捕捉了疾病的动态变化。本文的主要目的是探讨所提模型的全局弱解的存在性和唯一性。我们首先在有限维空间中构建弱解序列。然后,我们通过能量估计和紧凑性结果确保这些序列的收敛性,从而利用 Faedo-Galerkin 方法确定了所提模型弱解的存在性。然后,我们证明弱解的唯一性。最后,我们从 Mittag-Leffler 意义上研究了模型的稳定性。
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来源期刊
CiteScore
4.00
自引率
5.90%
发文量
122
审稿时长
>12 weeks
期刊介绍: The aim of this journal is to foster the growth of scientific research among Iranian scientists and to provide a medium which brings the fruits of their research to the attention of the world’s scientific community. The journal publishes original research findings – which may be theoretical, experimental or both - reviews, techniques, and comments spanning all subjects in the field of basic sciences, including Physics, Chemistry, Mathematics, Statistics, Biology and Earth Sciences
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