Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2017 / Cilt: 7 - Sayı: 1

On solutions of variable-order fractional differential equations

Pages
112–116
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

We give an example to demonstrate how efficiently our theory can beimplemented in practice.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Numerical calculation of the fractional integrals and derivatives is the code tosearch fractional calculus and solve fractional differential equations.
📊
Key Findings & Data:There-fore, it is significant to enhance numerical methods for fractional differentialequations.
💡
Conclusion & Impact:We give an example to demonstrate how efficiently our theory can beimplemented in practice.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Numerical calculation of the fractional integrals and derivatives is the code tosearch fractional calculus and solve fractional differential equations. The exactsolutions to fractional differential equations are compelling to get in real ap-plications, due to the nonlocality and complexity of the fractional differentialoperators, especially for variable-order fractional differential equations. There-fore, it is significant to enhance numerical methods for fractional differentialequations. In this work, we consider variable-order fractional differential equa-tions by reproducing kernel method. There has been much attention in theuse of reproducing kernels for the solutions to many problems in the recentyears. We give an example to demonstrate how efficiently our theory can beimplemented in practice.

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Cite This Article

INC, M., BALEANU, D., AKGÜL, A. (2022). On solutions of variable-order fractional differential equations. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 7 - Sayı: 1, 112–116. https://ajindex.com/articles/440680

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References (14)

  1. Coimbra, C. F. M. Mechanics with variable-order differential operators. Ann. Phys., 12(11-12):692-703, 2003.
  2. Lin, R., Liu, F., Anh, V., and Turner, I. Stability and convergence of a new explicit finite-difference ap- proximation for the variable-order nonlinear fractional diffusion equation. Appl. Math. Comput., 212(2):435- 445, 2009.
  3. Zhuang, P., Liu, F., Anh, V., and Turner, I. Numerical methods for the variable-order fractional advection-diffusion equation with a nonlinear source term. SIAM J. Numer. Anal., 47(3):1760-1781, 2009.
  4. Sun, H., Chen, W., and Chen, Y. Q. Variable or- der fractional differential operators in anomalous dif- fusion modeling. Physica A: Statistical Mechanics and its Applications, 388(388):4586-4592, 2009.
  5. Sun, H., Chen, W., Li, C., and Chen, Y. Q. Fi- nite difference schemes for variable-order time frac- tional diffusion equation. International Journal of Bi- furcation and Chaos, 22(4)(22(4)):1250085 (16 pages), 2012.
  6. Sun, H., Chen, W., Wei, H., and Chen, Y. A comparative study of constant-order and variable- order fractional models in characterizing memory property of systems. Eur. Phys. J. Special Topics, 193(193):185-192, 2011.
  7. Aronszajn, N. Theory of reproducing kernels. Trans. Amer. Math. Soc., 68:337-404, 1950.
  8. Geng, F. and Cui, M. A reproducing kernel method for solving nonlocal fractional boundary value prob- lems. Appl. Math. Lett., 25(5):818-823, 2012.
  9. Wang, Y., Su, L., Cao, X., and Li, X. Using reproducing kernel for solving a class of singularly perturbed problems. Comput. Math. Appl., 61(2):421- 430, 2011.
  10. Wu, B. Y. and Li, X. Y. A new algorithm for a class of linear nonlocal boundary value problems based on the reproducing kernel method. Appl. Math. Lett., 24(2):156-159, 2011.
  11. Yao, H. and Lin, Y. Solving singular boundary- value problems of higher even-order. J. Comput. Appl. Math., 223(2):703-713, 2009.
  12. Akgul, A. A new method for approximate solutions of fractional order boundary value problems. Neural Parallel Sci. Comput., 22(1-2):223-237, 2014.
  13. Akgul, A. New reproducing kernel functions. Math. Probl. Eng., pages Art. ID 158134, 10, 2015. Akg¨ul, A., Inc, M., Karatas, E., and Baleanu, D. Numerical solutions of fractional differential equations of Lane-Emden type by an accurate technique. Adv. Difference Equ., page 2015:220, 2015.
  14. Akgul, A. and Kili¸cman, A. Solving delay differential equations by an accurate method with interpolation. Abstr. Appl. Anal., pages Art.