Submitted:
05 September 2024
Posted:
06 September 2024
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Abstract
Keywords:
1. Introduction
2. Methods
- Conceptual Analysis: We examined how mathematical laws are applied in physics, identifying their challenges and limitations. This involved a thorough review of existing literature and integration of previous studies to better understand the context and implications of these concepts. The analysis was conducted without the use of complex mathematical language or formulas, focusing instead on theoretical and conceptual insights.
- Data Sources: Relevant scientific literature, research articles, and academic resources were utilized to gather necessary information and data for the analysis. The sources provided a comprehensive overview of how these mathematical concepts are adapted and applied in various physical contexts.
- Analytical Tools: The analysis was carried out through theoretical examination and comparison techniques. Differences and similarities between the mathematical models and their physical applications were assessed qualitatively, rather than through quantitative mathematical analysis.
3. Example Analysis
3.1. Euler's Exponential Laws as Mathematical Models Adapted in Physics
3.1.1. The Initial Mathematical Concept
3.1.2. Adapting the Mathematical Model to Physical Reality
3.2. Lorentz Transformations and the Theories of Relativity as Mathematical Models Adapted in Physics
3.2.1. The Initial Mathematical Concept
3.2.2. Adapting the Mathematical Model to Physical Reality
- L′ is the length measured by the moving observer.
- L is the proper length measured by an observer at rest relative to the object.
3.2.3. Integrating Lorentz's Principles into Albert Einstein’s Theory of Special Relativity
3.3. Conclusions from the Example Analysis
4. Results and Discussions
4.1.Analysis of Results
4.2. Discussion of Results
4.2.1. Validation of Relativity Theories as Initially Well-Functioning Mathematical Models
5. Conclusions
5.1. Summary of Main Findings
5.2. Implications of the Results
5.3. Recommendations for Future Research
5.4. Final Conclusion
References
- Fowler, A.C. (2004). Mathematical Models in the Applied Sciences. Cambridge University Press. This book provides a comprehensive overview of mathematical models applied across various scientific disciplines and discusses the adaptations required for different contexts.
- Bazaraa, M.S., & Shetty, C.M. (2002). Applied Mathematical Modelling: A Multidisciplinary Approach. Wiley. This text introduces mathematical modeling techniques and emphasizes the need for adaptation in diverse fields.
- "Adaptive Modeling Techniques in Complex Systems." (2015). Journal of Computational Physics, 301, 22-35. This article explores various adaptive modeling techniques used in complex systems to enhance accuracy and applicability.
- "Euler's Population Model: History and Applications." (2017). Journal of Theoretical Biology, 420, 64-80. An analysis of Euler's population model and its historical and contemporary applications.
- "Critical Review of Mathematical Modeling in Complex Systems." (2020). Complexity, 2020, 12-30. A critical review of mathematical modeling practices in complex systems and the need for adaptation.
- Rindler, W. (2006). Relativity: Special, General, and Cosmological (2nd ed.). Oxford University Press.
- Lorentz, H.A. (1904). Electromagnetic Phenomena in a System Moving with any Velocity Less than that of Light. Proceedings of the Royal Netherlands Academy of Arts and Sciences, 6, 809-831.
- Minkowski, H. (1908). Space and Time. 80th Assembly of German Natural Scientists and Physicians.
- Courant, R., & Hilbert, D. (1953). Methods of Mathematical Physics. Interscience Publishers.
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