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Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
Published on: March 17, 2019
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Study of impulsive problems under Mittag-Leffler power law
Mohammed S Abdo1, Thabet Abdeljawad2,3,4, Kamal Shah5
1Department of Mathematics, Hodeidah University, Al-Hodeidah, Yemen.
Heliyon
|October 19, 2020
Summary
This study derives solutions for impulsive fractional differential equations using the Atangana-Baleanu-Caputo derivative. It proves the existence and uniqueness of these solutions, demonstrating the method
Area of Science:
- Mathematics
- Applied Mathematics
- Fractional Calculus
Background:
- Impulsive fractional differential equations (IFDEs) are crucial in modeling complex systems with sudden changes.
- The Atangana-Baleanu-Caputo (ABC) fractional derivative offers a nonsingular kernel, enhancing modeling capabilities.
- Understanding the existence and uniqueness of solutions for IFDEs is fundamental for their application.
Purpose of the Study:
- To derive the solution formula for two types of Cauchy problems involving IFDEs with the ABC fractional derivative.
- To establish the existence and uniqueness of solutions for these specific Cauchy problems.
- To illustrate the practical application and effectiveness of the derived methods through examples.
Main Methods:
- Utilizing principles of nonlinear functional analysis.
- Applying fixed-point theorems to guarantee solution properties.
- Developing analytical techniques for deriving solution formulas.
Main Results:
- A comprehensive solution formula for the considered Cauchy problems is derived.
- The existence and uniqueness of solutions are rigorously proven.
- Numerical examples are provided to validate the theoretical findings.
Conclusions:
- The study successfully provides a framework for analyzing IFDEs with ABC fractional derivatives.
- The established existence and uniqueness results are vital for the reliable application of these models.
- The presented methodology offers a robust approach for solving and understanding complex dynamical systems.
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