Abstract
Chemistry, physics, and many other applied fields depend heavily on partial differential equations. As a result, the literature contains a variety of techniques that all have a symmetry goal for solving partial differential equations. This study introduces a new double transform known as the double formable transform. New results on partial derivatives and the double convolution theorem are also presented, together with the definition and fundamental characteristics of the proposed double transform. Moreover, we use a new approach to solve a number of symmetric applications with different characteristics on the heat equation to demonstrate the usefulness of the provided transform in solving partial differential equations.
1. Introduction
In Science and Engineering problems, we often search for solutions to distinct differential equations with initial and boundary conditions. Due to standard differential conditions, we may first determine the conditions and then determine the constants by looking at the entire arrangement of the target problem. However, partial differential equations cannot be solved using a similar method. Changing the constants and conditions in order to meet the established limits and requirements of the problem is difficult. In mathematics, partial differential equations are used to express the boundary value problems [1,2,3], initial value problems [4,5,6], heat equations, and wave equations and others [7,8,9,10].
There are several methods for solving partial differential equations, including the separation method, integral transforms, numerical approaches, decomposition methods, etc. Numerous publications with these references may be found in the literature. For example, [11,12,13,14,15] explains how to solve a partial differential equation numerically, or describes the convolution approach, and we have the integral transform method, Fourier, Laplace, ARA, and the double transforms such as double Laplace Sumudu [16], double ARA Sumudu [17], and others [18,19,20]; are all used in the integral transform technique.
Over the years, integral transforms have had great importance and usage that have given them an important place in solving many types of equations, such as the ordinary or partial differential and integral equations, and even systems consisting of a set of equations. The integral transform of the function where can be obtained by computing the following improper integral, defined as follows:
where is a real or complex variable and is a function of two variables called the kernel of the transform that is independent of the variable.
Numerous integral transforms have emerged to aid in this field, which has captured a significant portion of the interest of applied mathematicians, as a result of the great success that has been demonstrated and achieved by integral transforms in solving many physical, engineering, and other problems represented by equations of all kinds. Among these integral transforms are Mellin integral transform [21], Hankel’s transform [22], Laplace Carson transform [23], Sumudu integral transform [24], and others [25,26].
Mathematics showed interest in double integral transforms and their properties to solve more equations in a simpler and easier way. Its importance and simplicity are represented by converting the Partial and Ordinary equations into algebraic equations. After proving the distinction of transforms in solving equations of all kinds, it was necessary to combine single integral transforms with other methods to achieve greater benefits and to cover more physical problems.
A formable integral transform was introduced in 2021 by the authors in [27] and it is an effective tool for solving ordinary, partial differential equations, and integral equations. In this article, we introduce a new double transform called the double formable transform (DFT), along with the most significant hypotheses, characteristics, and justifications for how it contributes to the solution of physical and engineering problems. We give five examples of heat equations and their solutions. The new approach in this study, is a novel double transform that transforms functions of two variables into functions of four variables, with simple calculations. Moreover, the duality between Laplace transform and formable transform is obvious by simple substitution and a scalar multiplicative variable, which allow us to solve all problems of partial differential equations by the new approach with the advantage that reduce the calculations, in which it preserves the values of constants under DFT.
In addition, in this research, we consider the nonhomogeneous linear heat equation of the form:
with the initial condition:
and the boundary conditions:
where is the unknown function, is the source term, and and are constant.
A simple formula for the solution of the above equation is established and employed in solving some applications. The new formula is simple and applicable in dealing with partial differential equations of heat type, with fewer computations in comparison to other numerical methods and using other transforms.
This article is organized as follows: in Section 2, Fundamental facts and properties of single formable transform are presented. In Section 3, we introduce the new double formable transform, with the basic properties and theorems, several relations related to the existence, partial derivatives, and double convolution are presented. In Section 4, we apply DFT to the heat equation and obtain a formula for the solution. In Section 5, some examples are presented and solved with the new double transform.
2. Fundamental Facts of the Formable Transform
In 2021, a new integral transform known as the formable transform [27], of the continuous function on the interval is defined by:
The inverse formable transform is given by:
2.1. Formable Transform of Some Basic Functions
In this section, we presnt the valued of formable transform for some basic functions as follows.
2.2. Formable Transform of Derivatives
The formable transform for a derivative of a continuous function is given as follows:
The above results can be obtained from the definition of formable transform with simple calculations.
3. Double Formable Transform
In this section, we present a new double integral transform called the double formable transform. Fundamental properties and theorems related to the existence and partial derivatives and etc., are illustrated.
Definition 1.
Let be a continuous function of two variables and . Then the double formable transform (DFT) of is defined as:
We denote the single FT as follows:
- With respect to : ;
- With respect to : .
Clearly, the DFT is a linear transformation as shown below:
where and are constants.
Property 1.
Let . Then
Proof.
By the definition of DFT, we get
3.1. DFT of Some Basic Functions
In the following arguments, we introduce the DFT for some functions.
- Let . Then:
From Equation (1), we get:
- ii.
- Let and are positive constants. Then:
From Equation (2), we get:
- iii.
- Let and are constants. Then,
From Equation (3) we get:
Similarly,
Thus, one can obtain
Using Euler’s formulas:
and the formulas:
Thus, we find the DFT of the following functions:
- iv.
Thus, we get
where is the Bessel function.
3.2. Existence Conditions for DFT
If is a function of exponential orders and as and and if there exists a positive constant such that and , we have:
We can write , as and , and .
Theorem 1.
Let be a continuous function on the region of exponential ordersand. Then, exists for and , provided and .
Proof.
By the definition of DFT, we get
3.3. Some Basic Theorems of DFT
Theorem 2.
(Shifting property) Let be a continuous function, and . Then:
Proof.
Using the definition in Equation (10),
By letting, and and , and in Equation (13), we have
Theorem 3.
(Periodic function) Let exist, where is a periodic function of periods and such that:
Then,
Proof.
Using the definition of DFT, we get:
Using the property of improper integral, Equation (15) can be written as:
Putting and on the second integral in Equation (16) We obtain
Using the periodicity of the function , Equation (17) can be written by
Using the definition of DFT, we get
Thus, Equation (19) can be simplified into
Theorem 4.
(Heaviside function) Letexists, then:
whereis the Heaviside unit step function defined as
Proof.
Using the definition of DFT, we get
Putting and in Equation (21), we obtain
Thus, Equation (22) can be simplified into
Theorem 5.
(Convolution theorem). Let and be exist. Then
where
Proof.
Using the definition of DFT, we get
Using the Heaviside unit step function, Equation (24) can be written as
Thus, Equation (25) can be written as
Theorem 6.
(Derivatives properties) Let be a continuous function. Then, we get the following derivatives properties:
- (a)
- .
- (b)
- .
- (c)
- .
- (d)
- .
- (e)
Proof.
- (a)
Using integration by parts to the second integral, we obtain:
Thus,
- (b)
Simplifying and using integration by part, we obtain
- (c)
Using integrating by parts, we obtain
Using Equation (26), we have
- (d)
Using integrating by parts, we obtain
Using Equation (27), we have
- (e)
Using integrating by parts, we obtain
Using Equations (26) and (27), we get
The previous results of DFT to some basic functions, some theorems and basic derivatives are summarized in Table 1, below.
Table 1.
DFT to some basic functions.
4. Basic Idea of DFT Method
To illustrate the usage of DFT in solving partial differential equations, we explain the technique in this section by applying DFT on heat equations. We consider a general form of heat equation as:
with the initial condition:
and the boundary conditions:
where is the unknown function, is the source term, and and are constants. A simple formula of the solution for the above equation is established and employed to solve some applications.
The main idea of this method is to apply the DFT on Equation (30) and the single formable transform to the conditions as the following.
Applying formable transform to the initial condition as:
Applying formable transform to the boundary conditions as:
Now, applying the DFT to both sides of Equation (30), to get
Using the differentiation properties of the DFT with the above transformed conditions, we have
Equation (31) can be simplified as the follows
Operating the inverse DFT to both sides of Equation (32) gives
where represents the term arising from the known function and the initial and boundary conditions.
5. Applications on DFT for Solving Heat Equations
Example 1.
Let us consider the heat equation given as
with initial conditions:and the boundary conditions
Applying the formable transform to all conditions, we have:
Applying the DFT to the Equation (33) and substituting all the values in Equation (34), we have
Thus, we get
Applying the inverse DFT to Equation (35), then the solution of Equation (33) is
In the following, we present Figure 1 that presents a graph of the 3D exact solution of Example 33, the graph can be obtained using Mathematica software 13.
Figure 1.
The solution of Example 1.
Example 2.
Let us consider the heat equation given by:
with the initial condition:and the boundary conditions:
Applying the FT to all conditions, we have:
Applying DFT to Equation (36) and substituting all values of the transformed conditions in Equation (36), we have:
Thus, one can get
Running the inverse DFT to Equation (38), then the solution of Equation (36) is
In the following, we present Figure 2 that presents the graph of the 3D exact solution of Example 2.
Figure 2.
The solution of Example 2.
Example 3.
Let us consider the heat equation given by
with the initial condition:and the boundary conditions:
Applying the formable transform to all conditions, we have
Applying DFT to Equation (39) and substituting the values in Equation (32), we have
Thus, after simple calculations, we get
Applying the inverse DFT to Equation (41), then the solution of Equation (39) is given by
In the following, we present Figure 3, that presents the graph of the 3D exact solution of Example 3.
Figure 3.
The solution of Example 3.
Example 4.
Let us consider the heat equation given as:
with the initial condition:and the boundary conditions:
Applying the formable transform to all the conditions, we have
Applying DFT to the Equation (42) and substituting the all the transformed values in Equation (43), we get
Thus, after simple calculations, one can obtain
Applying the inverse DFT to Equation (44), then the solution of Equation (42) is given by
In the following, we present Figure 4 that presents the graph of the 3D exact solution of Example 4.
Figure 4.
The solution of Example 4.
Example 5.
Let us consider the heat equation given as
with the initial condition:and the boundary conditions:
Applying the formable transform to all conditions, we get
Applying the DFT to Equation (45) and substituting the all the values in Equation (46), we have
Thus, after simple computations, we have
Applying the inverse DFT to Equation (47), then the solution of Equation (45) is
In the following, we present Figure 5 that presents the graph of the 3D exact solution of Example 5.
Figure 5.
The solution of Example 5.
6. Conclusions
In this paper, we introduced a new double transform called the double formable transform. Several properties and theorems of the double transform were presented and proved. New results related to partial derivatives and the double convolution theorem were discussed and proved. Finally, we applied DFT to solve some applications on heat equations. A simple formula for solving heat partial differential equations were established, and used to solve some examples. The outcomes of this study show the strength and simplicity of DFT in solving partial differential equations. As a result, we intend to use it for solving more applications in the future, due to the simplicity and the advantage of preserving the constants values under the transform which reduces the calculations, in comparison to other integral transforms.
Author Contributions
Data curation, R.S., B.G. and G.G.; Formal analysis, R.S., A.K.S., B.G. and G.G.; Funding acquisition, R.S., A.K.S., B.G. and G.G.; Investigation, R.S., A.K.S., B.G. and G.G.; Methodology, R.S., A.K.S. and B.G.; Writing—original draft, B.G.; Writing—review and editing, R.S. and A.K.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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