solving multi-order fractional differential equations by reproducing kernel hilbert space method

Authors

reza khoshsiar ghaziani

shahrekord university mojtaba fardi

shahrekord university mehdi ghasemi

shahrekord university

abstract

in this paper we propose a relatively new semi-analytical technique to approximate the solution ofnonlinear multi-order fractional differential equations (fdes). we present some results concerning to the uniqueness of solution of nonlinear multi-order fdes and discuss the existence of solution for nonlinear multi-order fdes in reproducing kernel hilbert space (rkhs). we further give an error analysis for the proposed technique in different reproducing kernel hilbert spaces and present some useful results. the accuracy of the proposed technique is examined by comparing with the exact solution of some test examples.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Solving multi-order fractional differential equations by reproducing kernel Hilbert space method

In this paper we propose a relatively new semi-analytical technique to approximate the solution of nonlinear multi-order fractional differential equations (FDEs). We present some results concerning to the uniqueness of solution of nonlinear multi-order FDEs and discuss the existence of solution for nonlinear multi-order FDEs in reproducing kernel Hilbert space (RKHS). We further give an error a...

full text

Solving Fuzzy Impulsive Fractional Differential Equations by Reproducing Kernel Hilbert Space Method

The aim of this paper is to use the Reproducing kernel Hilbert Space Method (RKHSM) to solve the linear and nonlinear fuzzy impulsive fractional differential equations. Finding the numerical solutionsof this class of equations are a difficult topic to analyze. In this study, convergence analysis, estimations error and bounds errors are discussed in detail under some hypotheses which provi...

full text

Solving multi-order fractional differential equations by reproducing kernel Hilbert space method

In this paper, we propose a relatively new semi-analytical technique to approximate the solution of nonlinear multi-order fractional differential equations (FDEs). We present some results concerning to the uniqueness of solution of nonlinear multiorder FDEs and discuss the existence of solution for nonlinear multi-order FDEs in reproducing kernel Hilbert space (RKHS). We further give an error a...

full text

A Reproducing Kernel Hilbert Space Method for Solving Integro-Differential Equations of Fractional Order

In this article, we implement a relatively new analytical technique, the reproducing kernel Hilbert space method (RKHSM), for solving integro-differential equations of fractional order. The solution obtained by using the method takes the form of a convergent series with easily computable components. Two numerical examples are studied to demonstrate the accuracy of the present method. The presen...

full text

Reproducing Kernel Hilbert Space Method for Solving Fredholm Integro-differential Equations of Fractional Order

This paper presents a computational technique for solving linear and nonlinear Fredholm integro-differential equations of fractional order. In addition, examples that illustrate the pertinent features of this method are presented, and the results of the study are discussed. Results have revealed that the RKHSM yields efficiently a good approximation to the exact solution.

full text

Reproducing Kernel Space Hilbert Method for Solving Generalized Burgers Equation

In this paper, we present a new method for solving Reproducing Kernel Space (RKS) theory, and iterative algorithm for solving Generalized Burgers Equation (GBE) is presented. The analytical solution is shown in a series in a RKS, and the approximate solution u(x,t) is constructed by truncating the series. The convergence of u(x,t) to the analytical solution is also proved.

full text

My Resources

Save resource for easier access later


Journal title:
computational methods for differential equations

جلد ۴، شماره ۳، صفحات ۱۷۰-۱۹۰

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023