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March 3, 2026IFAC-PapersOnLine0 citationsOpen Access

G-subdiffusion equation with Caputo fractional derivative with respect to another function as a universal model of anomalous transport: A Survey

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ADAldona DutkiewiczTKTadeusz Kosztołowicz

Key Points

  • The g-subdiffusion equation effectively describes diffusion processes in evolving media, and its application leads to a better understanding of anomalous transport phenomena.
  • Demonstrating how the Caputo fractional derivative modifies time scales provides insights into continuous transitions between different diffusion types.
  • Analysis of complex diffusion processes shows that appropriate selection of the function g allows for smooth transitions in subdiffusion models.
  • Utilizing the generalized Laplace transform method offers a robust approach for solving g-subdiffusion equations, highlighting its versatility.

Abstract

The g-subdiffusion equation is a significant generalization of the ordinary fractional subdiffusion equation. Its main purpose is to describe diffusion processes occurring in media whose structure or properties evolve over time. This advanced modeling capability is achieved by incorporating the fractional time derivative of Caputo with respect to another function. We show an application of a subdiffusion equation with a Caputo fractional time derivative with respect to another function g to describe subdiffusion in a medium having a structure evolving over time. In this case, a continuous transition from subdiffusion to another type of diffusion may occur. The process can be interpreted as ordinary subdiffusion in which the time scale is changed by the function g. We will present several examples of complex diffusion processes in which, by choosing the appropriate function g, we will obtain a smooth transition between different types of anomalous diffusion. We will also show a method for solving this type of equation using the generalized Laplace transform.

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Cite This Study

Dutkiewicz et al. (2025) studied this question.

synapsesocial.com/papers/69a75f01c6e9836116a2a142https://doi.org/10.1016/j.ifacol.2026.01.005
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