The Cotangent Derivative with Respect to Another Function: Theory, Methods and Applications
Abstract
1. Introduction
2. Preliminaries
2.1. The Traditional Fractional Operators and Their Generalized Expressions
2.2. The Cotangent Derivatives and Their Integrals
2.3. Two-Scale Fractal Derivative and Its Properties
- Key Properties:
- -
- Linearity: .
- -
- Scaling Behavior: .
- -
- Compatibility: Relation to Riemann–Liouville and Caputo derivatives.
3. The Cotangent Derivatives with RAF
- 1.
- .
- 2.
- .
- 3.
- .
- 4.
- .
- 1.
- We haveand, making the change in variable , we getBy utilizing the Beta function, denoted as , and the relationship , we can conclude that
- 2.
- In a similar manner to 1, we can apply the same approach.
- 3.
- Consider . Using Lemma 1, we have
- 4.
- Similar to 3.
4. The -Laplace Transform
- Step-by-step derivation of transform formulas.
- Comparison of convergence properties.
- Specific advantages for singular problems.
- 1.
- .
- 2.
- .
- 3.
- .
- 4.
- 5.
- 6.
- .
- Using Corollary 2 we get
- Corollary 2 is valid for any real r.
5. The Caputo Cotangent Derivative with RAF
- 1.
- .
- 2.
- .
- Let ; then .
- implies that .
6. Numerical Approach
7. Numerical Examples
8. Physical Interpretation and Real-World Applications
8.1. Physical Interpretation of the Cotangent Kernel
- Memory Effects: The exponential decay term represents fading memory, where recent events ( close to ℓ) have a stronger influence than distant past events. This is particularly relevant in viscoelastic materials where stress depends on the entire deformation history.
- Damped Oscillatory Behavior: The cotangent function introduces oscillatory characteristics when , modeling systems with both damping and oscillation, such as vibrating structures with energy dissipation.
- Time Scaling: The function serves as an internal time or process variable, allowing the derivative to adapt to different temporal scales or material heterogeneities.
8.2. Applications in Viscoelastic Materials
- Temperature-dependent time scaling: , where accounts for temperature effects on relaxation times.
- Non-uniform aging: , modeling accelerated/decelerated material aging.
8.3. Anomalous Diffusion Processes
- Heterogeneous media: , where is the walk dimension in fractal media.
- Time-dependent diffusivity: for spatially/temporally varying diffusion coefficients.
8.4. Biological Systems and Growth Models
- Metabolic time: for biological processes operating on logarithmic time scales.
- Environmental factors: incorporating multiple environmental variables.
- Developmental stages: Piecewise functions modeling different growth phases (embryonic, juvenile, adult).
8.5. Memory-Dependent Processes
- Economics: Market memory effects in financial time series.
- Psychology: Learning processes where past experiences influence current behavior.
- Climate science: Long-memory processes in temperature and precipitation records.
8.6. Engineering Applications
- Control Systems: Fractional-order controllers with adapting to operating conditions.
- Signal Processing: Analysis of signals with time-varying frequency content using appropriate .
- Material Science: Modeling complex material responses under varying environmental conditions.
8.7. Advantages over Classical Fractional Operators
- Flexibility: The function provides adaptability to various physical scenarios.
- Physical interpretability: The exponential-cotangent kernel has clear physical meaning.
- Mathematical consistency: Preservation of semigroup properties ensures physical predictability.
- Computational efficiency: The Laplace transform approach enables analytical solutions.
9. Comprehensive Comparison with Modern Fractional Operators
- Interpretation of Results
- The Cotangent RAF operator demonstrates the highest memory strength (integral = 1.7940) and unique oscillatory capabilities, making it ideal for systems combining memory effects with periodic behavior.
- The Atangana–Baleanu operator, while having the lowest kernel integral (0.4560), excels in modeling systems with strong long-range memory dependencies, particularly those exhibiting power-law decay.
- The Prabhakar operator offers intermediate memory strength (1.1011) with exceptional flexibility through its multiple parameters, suitable for complex multi-scale phenomena.
- The Caputo–Fabrizio operator provides a balanced approach with good memory strength (1.0769) and computational efficiency, ideal for standard applications where complex memory patterns are not required.
10. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
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| 8 | 0.0020 | 0.0020 | 0.0001 | 8 | 0.0011 | 0.0010 | 0.0001 | 8 | 0.0019 | 0.0019 | 0.0001 |
| 16 | 0.0009 | 0.0009 | 0.0001 | 16 | 0.0005 | 0.0005 | 0.0001 | 16 | 0.0007 | 0.0007 | 0.0001 |
| 32 | 0.0004 | 0.0004 | 0.0001 | 32 | 0.0002 | 0.0002 | 0.0001 | 32 | 0.0003 | 0.0003 | 0.0001 |
| 8 | 0.0053 | 0.0053 | 0.0001 | 8 | 0.0024 | 0.0024 | 0.0001 | 8 | 0.0052 | 0.0052 | 0.0001 |
| 16 | 0.0025 | 0.0025 | 0.0001 | 16 | 0.0011 | 0.0012 | 0.0001 | 16 | 0.0020 | 0.0020 | 0.0001 |
| 32 | 0.0011 | 0.0011 | 0.0001 | 32 | 0.0005 | 0.0005 | 0.0001 | 32 | 0.0007 | 0.0007 | 0.0001 |
| 8 | 0.0170 | 0.0170 | 0.0001 | 8 | 0.0067 | 0.0067 | 0.0001 | 8 | 0.0237 | 0.0237 | 0.0001 |
| 16 | 0.0080 | 0.0080 | 0.0001 | 16 | 0.0032 | 0.0032 | 0.0001 | 16 | 0.0092 | 0.0092 | 0.0001 |
| 20 | 0.0062 | 0.0062 | 0.0001 | 20 | 0.0023 | 0.0023 | 0.0001 | 20 | 0.0067 | 0.0067 | 0.0001 |
| Operator | Parameters | Physical Interpretation |
|---|---|---|
| Cotangent RAF |
| |
| Atangana–Baleanu |
| |
| Prabhakar |
| |
| Caputo–Fabrizio |
|
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Sadek, L.; Algefary, A. The Cotangent Derivative with Respect to Another Function: Theory, Methods and Applications. Fractal Fract. 2025, 9, 690. https://doi.org/10.3390/fractalfract9110690
Sadek L, Algefary A. The Cotangent Derivative with Respect to Another Function: Theory, Methods and Applications. Fractal and Fractional. 2025; 9(11):690. https://doi.org/10.3390/fractalfract9110690
Chicago/Turabian StyleSadek, Lakhlifa, and Ali Algefary. 2025. "The Cotangent Derivative with Respect to Another Function: Theory, Methods and Applications" Fractal and Fractional 9, no. 11: 690. https://doi.org/10.3390/fractalfract9110690
APA StyleSadek, L., & Algefary, A. (2025). The Cotangent Derivative with Respect to Another Function: Theory, Methods and Applications. Fractal and Fractional, 9(11), 690. https://doi.org/10.3390/fractalfract9110690

