Abstract
In this work, we consider the multidimensional time-fractional diffusion equation with the \(\psi \)-Hilfer derivative. This fractional derivative enables the interpolation between Riemann–Liouville and Caputo fractional derivatives and its kernel depends on an arbitrary positive monotone increasing function \(\psi ,\) thus encompassing several fractional derivatives in the literature. This allows us to obtain general results for different families of problems that depend on the function \(\psi \) selected. By employing techniques of Fourier, \(\psi \)-Laplace, and Mellin transforms, we obtain a solution representation in terms of convolutions involving Fox H-functions for the Cauchy problem associated with our equation. Series representations of the first fundamental solution are explicitly obtained for any dimension as well as the fractional moments of arbitrary positive order. For the one-dimensional case, we show that the series representation reduces to a Wright function and we prove that it corresponds to a probability density function for any admissible \(\psi \). Finally, some plots of the fundamental solution are presented for particular choices of the function \(\psi \) and the order of differentiation.

















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Acknowledgements
The work of the authors was supported by Portuguese funds through CIDMA-Center for Research and Development in Mathematics and Applications, and FCT-Fundação para a Ciência e a Tecnologia, within projects UIDB/04106/2020 and UIDP/04106/2020. N. Vieira was also supported by FCT via the 2018 FCT program of Stimulus of Scientific Employment-Individual Support (Ref: CEECIND/01131/2018).
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Vieira, N., Rodrigues, M.M. & Ferreira, M. Time-fractional diffusion equation with \(\psi \)-Hilfer derivative. Comp. Appl. Math. 41, 230 (2022). https://doi.org/10.1007/s40314-022-01911-5
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DOI: https://doi.org/10.1007/s40314-022-01911-5
Keywords
- Time-fractional diffusion equation
- \(\psi \)-Hilfer fractional derivative
- \(\psi \)-Laplace transform
- Fundamental solution
- Fractional moments.