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具有 commensurate 和 incommensurate 分数阶导数的癌症肿瘤生长模型中的混沌。

Chaos in Cancer Tumor Growth Model with Commensurate and Incommensurate Fractional-Order Derivatives.

机构信息

Department of Mathematics and Computer Science, University of Larbi Ben M'hidi, Oum El Bouaghi 04000, Algeria.

Dipartimento Ingegneria Innovazione, Universita del Salento, 73100 Lecce, Italy.

出版信息

Comput Math Methods Med. 2022 May 20;2022:5227503. doi: 10.1155/2022/5227503. eCollection 2022.

Abstract

Analyzing the dynamics of tumor-immune systems can play an important role in the fight against cancer, since it can foster the development of more effective medical treatments. This paper was aimed at making a contribution to the study of tumor-immune dynamics by presenting a new model of cancer growth based on fractional-order differential equations. By investigating the system dynamics, the manuscript highlights the chaotic behaviors of the proposed cancer model for both the commensurate and the incommensurate cases. Bifurcation diagrams, the Lyapunov exponents, and phase plots confirm the effectiveness of the conceived approach. Finally, some considerations regarding the biological meaning of the obtained results are reported through the manuscript.

摘要

分析肿瘤-免疫系统的动态在抗击癌症方面可以发挥重要作用,因为它可以促进更有效的医疗治疗方法的发展。本文旨在通过提出基于分数阶微分方程的新癌症生长模型为肿瘤免疫动力学的研究做出贡献。通过研究系统动态,本文强调了所提出的癌症模型在相称和不相称两种情况下的混沌行为。分岔图、李雅普诺夫指数和相图证实了所构思方法的有效性。最后,通过本文报告了获得的结果的一些生物学意义方面的考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b788/9142312/7331af15ab00/CMMM2022-5227503.001.jpg

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