Abstract

We study here a generalization of the time-fractional relativistic diffusion equation based on the application of Caputo fractional derivatives of a function with respect to another function. We find the Fourier transform of the fundamental solution and discuss the probabilistic meaning of the results obtained in relation to the time-scaled fractional relativistic stable process. We briefly consider also the application of fractional derivatives of a function with respect to another function in order to generalize fractional Riesz-Bessel equations, suggesting their stochastic meaning.

Highlights

  • In recent papers, relativistic diffusion equations have been investigated both from the physical [1]and mathematical [2,3] points of view

  • We find the Fourier transform of the fundamental solution and discuss the probabilistic meaning of the results obtained in relation to the time-scaled fractional relativistic stable process

  • We have analyzed here some applications of the time-fractional derivative with respect to a function, in the context of the so-called fractional relativistic diffusion equation. It is well-known that the most interesting case from the physical point of view corresponds to α = 1, where the operator

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Summary

Introduction

Relativistic diffusion equations have been investigated both from the physical [1]. The fractional derivative of a function with respect to another function is a useful mathematical tool that is recently gaining more interest in relation to models involving time-varying coefficients, see, e.g., [4,5,6] and the references therein. The aim of this short paper is to consider the generalization of the time-fractional relativistic diffusion equation by means of a Caputo fractional derivative of a function with respect to another function.

Fractional Relativistic Diffusion and Relativistic Stable Processes
Fractional Derivatives of a Function with Respect to Another Function
On the Generalized Relativistic Diffusion Equation
Time-Scaled Fractional Tempered Stable Process
An Application to Generalized Fractional Bessel-Riesz Motion
Conclusions and Open Problems
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