Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

1087-1096


DOI

Article

Statistical Model of College Ideological and Political Learning Based on Fractional Differential Equations

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Authors

Songrui Liu Affiliation:
College of Education, Capital Normal University, Beijing, 100048, China
, Jinzhu Li Affiliation:
School of Accountancy, Xinjiang University of Finance and Economics, Urumqi, 830012, China
and Mahmoud Khalifa Affiliation:
College of Administrative Sciences, Applied Science University, Bahrain


Abstract

Based on fractional differential equations, this paper focuses on the internal mechanism of college ideological and political learning. We also elaborate on its microstructure, channel characteristics, and competitive field. We put forward Gauss’s theorem and the loop theorem of the related field of ideological and political learning in colleges and universities. At the same time, the convexity theorem of the information entropy of the competitive field and the principle of maximum entropy are proved. Research shows that college students can change the relationship between student learning and society by adapting, functioning, and coordinating. We need to help students develop more effective political learning strategies.


Keywords

Fractional differential equation, University political study, Statistical model, Competition field, Information entropy, 34A08


Citation

Liu, S., Li, J., & Khalifa, M. (2022). Statistical model of college ideological and political learning based on fractional differential equations. Applied Mathematics and Nonlinear Sciences, 7(2), 1087–1096. https://doi.org/10.2478/amns.2022.2.0093
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