Fractional Diffusion Equation under Singular and Non-Singular Kernel and Its Stability

Author:

Gabrick Enrique C.1ORCID,Protachevicz Paulo R.2ORCID,Lenzi Ervin K.13ORCID,Sayari Elaheh1ORCID,Trobia José4ORCID,Lenzi Marcelo K.5ORCID,Borges Fernando S.167ORCID,Caldas Iberê L.2ORCID,Batista Antonio M.14ORCID

Affiliation:

1. Postgraduate Program in Science, State University of Ponta Grossa, Ponta Grossa 84030-900, PR, Brazil

2. Institute of Physics, University of São Paulo, São Paulo 05508-090, SP, Brazil

3. Department of Physics, State University of Ponta Grossa, Ponta Grossa 84030-900, PR, Brazil

4. Department of Mathematics and Statistics, State University of Ponta Grossa, Ponta Grossa 84030-900, PR, Brazil

5. Chemical Engineering Graduate Program, Federal University of Paraná, Curitiba 81531-980, PR, Brazil

6. Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY 11203, USA

7. Center for Mathematics, Computation, and Cognition, Federal University of ABC, São Bernardo do Campo 09606-045, SP, Brazil

Abstract

The fractional reaction–diffusion equation has been used in many real-world applications in fields such as physics, biology, and chemistry. Motivated by the huge application of fractional reaction–diffusion, we propose a numerical scheme to solve the fractional reaction–diffusion equation under different kernels. Our method can be particularly employed for singular and non-singular kernels, such as the Riemann–Liouville, Caputo, Fabrizio–Caputo, and Atangana–Baleanu operators. Moreover, we obtained general inequalities that guarantee that the stability condition depends explicitly on the kernel. As an implementation of the method, we numerically solved the diffusion equation under the power-law and exponential kernels. For the power-law kernel, we solved by considering fractional time, space, and both operators. In another example, we considered the exponential kernel acting on the time derivative and compared the numerical results with the analytical ones. Our results showed that the numerical procedure developed in this work can be employed to solve fractional differential equations considering different kernels.

Funder

Brazilian Federal Agencies

CAPES

Fundação Araucária

São Paulo Research Foundation

CNPq

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

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