Finite Difference Methods for Fractional and Stochastic Differential Equations

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "General Mathematics, Analysis".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 4370

Special Issue Editor


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Guest Editor
Department of Mathematics and Applied Mathematics, Nelson Mandela University, Gqeberha 6031, South Africa
Interests: differential equations; hyperbolic conservation laws; mathematical biology; oil spill modelling; pollutant transport; finite difference methods

Special Issue Information

Dear Colleagues,

We are running a Special Issue on fractional and stochastic differential equations.

Fractional differential equations are a type of equation formed by changing integer order derivatives in a standard differential equation into fractional order derivatives. They are a valuable tool for describing processes with memory and hereditary properties, as well as non-locality and dynamic transmission processes of anomalous diffusion.

The importance of uncertainty modeling is recognized in scientific computing, and there has been a growing interest in applications of probabilistic methods. A stochastic differential equation is one in which one of the terms is a stochastic process, resulting in a solution which is also a stochastic process. Stochastic partial differential equations are used as models of transport phenomena in random media. They are also used to model various phenomena such as stock prices or physical systems subject to thermal fluctuations.

Topics that are invited for submission include (but are not limited to):

  • Multi-scale problems described by differential equations with highly oscillating coefficients;
  • Study of wellposedness;
  • Finite difference methods to solve these differential equations by approximating fractional derivatives;
  • Modelling of real-life processes in science, engineering and finance through these differential equations;
  • Numerical optimization of finite difference methods for these classes of differential equations.
  • Analysis of properties (stability, consistency, convergence) of finite difference methods for fractional and stochastic partial differential equations.

Dr. Appanah Rao Appadu
Guest Editor

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Keywords

  • fractional differential equations
  • stochastic differential equations
  • analysis
  • numerical methods
  • applications

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Published Papers (2 papers)

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Research

17 pages, 5447 KiB  
Article
Numerical Solutions of Third-Order Time-Fractional Differential Equations Using Cubic B-Spline Functions
by Muhammad Abbas, Afreen Bibi, Ahmed S. M. Alzaidi, Tahir Nazir, Abdul Majeed and Ghazala Akram
Fractal Fract. 2022, 6(9), 528; https://doi.org/10.3390/fractalfract6090528 - 17 Sep 2022
Cited by 7 | Viewed by 1949
Abstract
Numerous fields, including the physical sciences, social sciences, and earth sciences, benefit greatly from the application of fractional calculus (FC). The fractional-order derivative is developed from the integer-order derivative, and in recent years, real-world modeling has performed better using the fractional-order derivative. Due [...] Read more.
Numerous fields, including the physical sciences, social sciences, and earth sciences, benefit greatly from the application of fractional calculus (FC). The fractional-order derivative is developed from the integer-order derivative, and in recent years, real-world modeling has performed better using the fractional-order derivative. Due to the flexibility of B-spline functions and their capability for very accurate estimation of fractional equations, they have been employed as a solution interpolating polynomials for the solution of fractional partial differential equations (FPDEs). In this study, cubic B-spline (CBS) basis functions with new approximations are utilized for numerical solution of third-order fractional differential equation. Initially, the CBS functions and finite difference scheme are applied to discretize the spatial and Caputo time fractional derivatives, respectively. The scheme is convergent numerically and theoretically as well as being unconditionally stable. On a variety of problems, the validity of the proposed technique is assessed, and the numerical results are contrasted with those reported in the literature. Full article
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16 pages, 340 KiB  
Article
New Outcomes Regarding the Existence of Hilfer Fractional Stochastic Differential Systems via Almost Sectorial Operators
by Sivajiganesan Sivasankar and Ramalingam Udhayakumar
Fractal Fract. 2022, 6(9), 522; https://doi.org/10.3390/fractalfract6090522 - 16 Sep 2022
Cited by 12 | Viewed by 1350
Abstract
In this paper, we focus on the existence of Hilfer fractional stochastic differential systems via almost sectorial operators. The main results are obtained by using the concepts and ideas from fractional calculus, multivalued maps, semigroup theory, sectorial operators, and the fixed-point technique. We [...] Read more.
In this paper, we focus on the existence of Hilfer fractional stochastic differential systems via almost sectorial operators. The main results are obtained by using the concepts and ideas from fractional calculus, multivalued maps, semigroup theory, sectorial operators, and the fixed-point technique. We start by confirming the existence of the mild solution by using Dhage’s fixed-point theorem. Finally, an example is provided to demonstrate the considered Hilferr fractional stochastic differential systems theory. Full article
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