Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

1045-1056


DOI

Article

The Optimization Model of College Students’ Physical Exercise Motivation and Self-control Ability Based on the Mathematical Model of Probability Theory


Authors

Guowang Zhang Affiliation:
Sports Department, Tianjin Vocational Institute, Tianjin, 300000, China
and Mohammed Yousif Affiliation:
College of Administrative Sciences, Applied Science University, Bahrain


Abstract

College students can improve their physical fitness through sports activities. But physical activity requires long-term persistence. In this way, college students are required to carry out self-control. This paper studies the relationship between college students’ physical exercise motivation and self-control ability by using the mathematical model of probability theory. We use probabilistic path analysis to test the fit and difference of the relationship between the two. At the same time, the article uses Lyapunov’s characteristic function method to prove the correlation between physical exercise motivation and self-control ability again. The results show that the algorithm proposed in this paper can improve the self-management efficiency of college students.


Keywords

Probability theory, Lyapunov, Characteristic function, College students, Physical exercise, Optimization of self-control ability, 47N30


Citation

Zhang, G. & Yousif, M. (2022). The optimization model of college students’ physical exercise motivation and self-control ability based on the mathematical model of probability theory. Applied Mathematics and Nonlinear Sciences, 7(2), 1045–1056. https://doi.org/10.2478/amns.2022.2.0089

Published by: Engineering Journals

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