In the present article, a time fractional diffusion problem is formulated with special boundary conditions, specifically the nonlocal boundary conditions. This new problem is then solved by utilizing the Laplace transform method coupled to the well-known Adomian decomposition method after employing the modified version of Beilin’s lemma featuring fractional derivative in time. The Caputo fractional derivative is used. Some test problems are included.
Heat conduction problems frequently occur in many industrial processes thereby necessitating much attention from researchers. Of recent, these problems tend to be modelled with fractional order derivatives in either time or space variables or both. In light of this, the study of fractional differential equations [1, 2, 3] becomes vital in this regards. Moreover, many methods have been employed by many researchers to tackle varieties of heat conduction problems ranging from analytical down to approximate methods such that the novel series method for fractional diffusion equation by Yan et al. [4], an approximate decomposition method solution for a fractional diffusion-wave equation by Al-Khaled and Momani [5], the Adomian decomposition method for a fractional diffusion equation, nonlinear heat equation, heat equation with nonlocal boundary conditions and nonlinear diffusion equations, respectively [6, 7, 8, 9, 10]. Other methods include, the symmetry method for classifications of (2+1)-nonlinear heat equation by Ahmad et al. [11], the Sumudu Homotopy Perturbation Method (SHPM) for fractional KdV equations [12], the computational approach based on ADM [13], the Laplace transform method for fractional fluid flow and oscillatory process equations [14] and lastly the Wiener-Hopf method [15, 16, 17] for semi-infinite heat problems among others.
However, in the present article, a time fractional diffusion problem is formulated with special boundary conditions, specifically, the nonlocal boundary conditions. This new problem is aimed to be solved through utilizing the well-known Laplace transform method [18] alongside employing the Adomian decomposition method [7] in what is termed as the Laplace decomposition method, [19, 20, 21, 22, 23]. Further, in order to achieve this, a modification to Beilin’s lemma [24] to feature fractional derivative in time variable will be given.
The paper is organized as follows: In Section 2, we present some basics about the fractional calculus. Section 3 gives the formulation of the problem under consideration. In Section 4, we give the analysis of the methodology and in Section 5, we present some application and results, and finally, Section 6 gives the conclusion.
Fractional Calculus and Some Definitions
In this section, we give some preliminary definitions of fractional calculus theory which will be used later on as follows:
Definition 2.1. [Caputo Fractional Derivative]
The Caputo derivative of a casual function \(u(t)\) \((u(t)=0, \ t 0\) is defined by [19]
Where \(\Gamma(.)\) is the well-known gamma function defined by
\begin{equation*}
(x-1)!=\Gamma(x)=\int_{0}^{\infty}e^{-t} t^{x-1} dt.
\end{equation*}
Some useful properties of the Caputo derivative are given below:
Furthermore, the function \(g(x,y)\) is assumed to satisfy the comparability conditions; that is
\begin{equation*}
\begin{split}
g(0,0)& =0,\\
\int_{0}^{1}g(x,y)dx & =0, \quad y=0 \\
\int_{0}^{1}g(x,y)dy & =0, \quad x=0.
\end{split}
\end{equation*}
Here, we give the following lemma by virtue of the modified Beilin’s lemma [23] in Caputo fractional derivative sense to transform problem (4)-(7) to an equivalent boundary value problem with classical boundary conditions
Lemma 2.5.
Problem (4)-(7) is equivalent to the following problem
Proof.
Let \(u(x,t,t)\) be a solution of (4)-(7). Integrating (4) w.r.t `\(x\)’ and `\(y\)’ over \((0,l)\) respectively alongside utilizing (6)-(7), we get
To show this, we integrate (4) w.r.t `\(x\)’ and yields
\begin{equation*}
\frac{\partial}{\partial t}\int_{0}^{1}u(x,y,t)dx-\frac{\partial^2}{\partial x^2}\int_{0}^{1}u(x,y,t)dx-\frac{\partial^2}{\partial y^2}\int_{0}^{1}u(x,y,t)dx=0.
\end{equation*}
Thus, by virtue of the compatibility conditions, we get
\begin{equation*}
\int_{0}^{1}u(x,y,t)dx =0, \ \ \ \ \forall t \in (0,T).\\
\end{equation*}
Similarly,
\begin{equation*}
\int_{0}^{1}u(x,y,t)dy =0, \ \ \ \ \forall t \in (0,T).
\end{equation*}
3. Analysis of the Method
To illustrate the basic idea of the method, we consider a
general nonlinear nonhomogeneous time-fractional partial differential
equation with initial conditions of the following form:
where \(u^\alpha_t\) is the Caputo derivative of order \(\alpha\), and \(f(x,t)\) is the source function; \(L\) represents a linear fractional differential operator and \(N\) is the general nonlinear fractional differential operator.
The method first starts by taking the Laplace transform of equation (14) in \(t\), subject to the prescribed initial conditions given in equation (15), we obtain
Now, from equation (18), we assume the unknown function \(u(x,t)\) to have the series solution and the nonlinear term \(N\left(u(x,t)\right)\) by the Adomian polynomials [7];
Thus we identify \(u_0 (x,t)\) with the initial condition term and the term resulting from the nonhomogeneous term; and the rest of the components \(u_m (x,t)\) are determined recursively as shown below:
In this section, we apply the proposed method to two different time-fractional 2-dimensional heat diffusion equations and later illustrated the solutions graphically in figures 1a, 1b, 1c, 2a 2b and 2c with the aid of Mathematica software as follows:
Example 4.1.
Consider the time-fractional 2-dimensional heat diffusion equation equation
subject to the new conditions
\begin{equation*}
\left\{ \begin{array}{rcl}
u(x,y,0) =\sin(x)\sin(y), \\
u(0,0,t) =0, \\
u_{xy}(l,0,t) +u_{xy}(0,l,t)\\-2u_{xy}(0,0,t)=0. \\
\end{array}\right.
\end{equation*}
Then, on taking the Laplace transform of both sides of equation (25) subject to the initial condition, we obtain
Thus we identify \(u_0 (x,y,t)\) with the initial condition term that originate from the initial condition; and the rest of the components \(u_m (x,y,t)\) are determined recursively by:
The graph of the solution of equation (47) is shown in Figure \(2a, 2b\) and \(2c\) as follows:
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