Fractional Differential Equations

Дробные дифференциальные уравнения
Igor Podlubný
2025-07-31

applications in wave and fluid dynamicsfractional calculusfractional differential equationsfractional-order integrals and derivativesmemory effects modeling
In recent times, researchers across various fields have become interested in the topic of fractional calculus based on integrals and derivatives of fractional order. This area has numerous and widespread applications in fields of science and engineering, including wave and fluid dynamics, mathematical biology, financial systems, structural dynamics, robotics, and artificial intelligence, among others. Therefore, fractional models have become relevant in the context of phenomena with memory effects, in place of the conventional reliance on ordinary or partial differential equations. Fractional calculus offers superior tools for addressing time-dependent effects compared to integer-order calculus, which forms the foundation of most mathematical systems. As a result, fractional calculus is crucial to modeling real-life problems, and finding mathematical solutions is a great challenge in this regard.
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Finding mathematical solutions for fractional models remains a significant challenge.
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Fractional calculus (integrals and derivatives of fractional order) has attracted growing multidisciplinary research interest.
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Fractional calculus has widespread applications across science and engineering, including wave and fluid dynamics, mathematical biology, finance, structural dynamics, robotics, and artificial intelligence.
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Fractional calculus offers superior tools for addressing time-dependent effects compared to integer-order calculus.
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Fractional models are especially relevant for phenomena with memory effects, providing alternatives to ordinary and partial differential equations.

Fractional differential equations (differential equations involving integrals and derivatives of fractional order)

Mathematical modeling and solution properties of systems with memory/time-dependent effects using fractional-order operators, including their applicability across physical, biological, and engineering phenomena

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Publication Date
2025-07-31
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Igor Podlubný
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