Abstract
The double natural generalized Laplace transform decomposition method (DNGLTDM) is proposed as a new approach for solving singular linear and non-linear two-dimensional Boussinesq equations involving fractional partial derivatives. This method combines the decomposition technique with the double natural generalized Laplace transform to construct solutions in the form of rapidly convergent infinite series that approximate the exact solutions. The paper presents a detailed study of the fundamental properties of the transform, including the convolution theorem, the periodicity theorem, the treatment of partial derivatives with non-constant coefficients, and partial fractional derivatives. In addition, the convergence of the obtained series solutions and the associated error analysis are thoroughly investigated. Finally, two illustrative examples are provided to demonstrate the accuracy and effectiveness of the DNGLTDM, one of which considers a problem of partial fractional order.
1. Introduction
In physics and engineering, linear and non-linear partial differential equations (PDEs) are very important for modeling a wide range of events. The two-dimensional Boussinesq equation stands out among these equations. It accurately describes a range of mathematical, physical, and technological processes, such as simulating water flow in unconfined aquifers. Boussinesq-type equations also come up in a lot of different situations, such as one-dimensional non-linear lattice dynamics [1] and shallow-water waves [2,3]. The authors of [4] examined the Allen–Cahn equation utilizing the Caputo–Hadamard fractional derivative in time through a numerical algorithm. The existence and uniqueness of solutions to Caputo–Hadamard differential equations with delay and non-local conditions are examined in [5]. Many analytical methods have been created over the past few decades to find clear and correct answers to these kinds of problems. For instance, the q-homotopy analysis transform method was used to solve the Schrödinger–Boussinesq equation [6]. The authors of [7,8,9,10] examined Boussinesq equations using the modified decomposition method, whereas analytical solutions to Boussinesq-like equations were subsequently explored through the homotopy perturbation method [11]. Recently, the non-linear fractional Boussinesq equation with the Caputo fractional derivative has been examined using the modified double Laplace decomposition method (MDLDM) to determine the general approximate solution in [12]. The authors of [13] employed two numerical techniques, namely the variational iteration transform method (VITM) and the Adomian decomposition method (ADM), to solve the second- and fourth-order fractional Boussinesq equations. Numerical methods have also been extensively utilized. The Boussinesq–Burger equations were examined using the optimal homotopy asymptotic method [14], while the generalized Boussinesq equation was investigated through the homotopy analysis method [15]. The Laplace–Adomian decomposition method yielded both approximate and analytical solutions for the Boussinesq–Burger equation [16]. In [17], the authors developed precise traveling wave solutions for the (2+1)-dimensional Boussinesq equation using the repeated homogeneous balance method. Recently, integral transform methods have garnered heightened interest. The natural transform was integrated with the natural decomposition method to address coupled systems of non-linear partial differential equations [18]. Recently, the double natural transform was used to solve telegraph, wave, and partial integro-differential equations [19].
Based on these advancements, the current study introduces a methodology for addressing the singular two-dimensional Boussinesq equation through the double natural generalized Laplace transform decomposition method (DNGLTDM). This analytical method shows that (DNGLTDM) works well for finding solutions to non-linear differential equations. This method is broader than the triple Sumudu transform, the triple Laplace transform, and the double Laplace–Yang transform. We can learn some things from it, and all of these things can be learned from our method, the double natural generalized Laplace transform. To be thorough, let us go over the definitions of the natural transform (NT) and the generalized Laplace transform (GLT) again.
In the following, we provide some fundamental definitions:
Definition 1.
Consider the set of functions
For functions in A, the natural transform (NT) is defined as
where u and p are complex variables with and .
For further details on the natural transform, we refer the reader to [20,21].
Definition 2
([22]). Let be an integrable function for all . The generalized Laplace transform of is defined as
for and .
Definition 3
([23]). The double natural transform (DNT) is defined by
where denotes the DNT. The inverse double natural transform (IDNGLT) is given by
Definition 4.
The left-side Caputo fractional derivative of f, and is described in [24] as
Definition 5
([25]). The partial fractional integrals and Caputo derivatives of a function , where are granted by
where
In the subsequent sections, we present the main results of this work.
2. Main Results of the Double Natural Generalized Laplace Transform (DNGLT)
In this section, we discuss the basic ideas and properties of the double natural generalized Laplace transform (DNGLT).
If we put Definitions 2 and 3 together, we get a new one called the double natural generalized Laplace transform (DNGLT), as follows:
Definition 6.
The double natural generalized Laplace transform (DNGLT) is defined by
where denotes the DNGLT. The inverse double natural generalized Laplace transform (IDNGLT) is given by
In this study, we use instead of .
Remark 1.
From the definition of the DNGLT, several well-known transforms can be obtained as special cases:
- 1.
- Setting , , and , we obtain the triple Sumudu transform:
- 2.
- Setting , , , and , we obtain the triple Laplace transform:
- 3.
- Setting , , , and , we obtain the double Laplace–Yang transform:
The following examples illustrate the application of the DNGLT:
Example 1.
The DNGLT of the function is given by
Example 2.
For , the DNGLT is
where n is a positive integer.
If are real numbers, then
It follows directly from the definition of the DNGLT that
By substituting , , and , we obtain
Here, the Gamma functions of and c are defined by the uniformly convergent integrals
2.1. Existence Condition for the (DNGLT)
A function is said to be of exponential order as if there exist positive constants such that
Equivalently, this means
or, in limit form,
whenever , , and . Such a function is simply called an exponential order as . Clearly, this does not grow faster than .
We use the same method as in Theorem 1 in [26] to prove the next theorem of existence conditions for the (DNGLT).
Theorem 1.
Let be a continuous function on and of exponential order . Then the DNGLT of , denoted by , exists for all and with and .
Proof.
By applying the definition of the DNGLT to , we have
It follows from Equation (7) that
Hence, the DNGLT exists under the stated conditions. □
Theorem 2.
Assume that the (DNGLT) of the function exists and is a periodic function of periods , and E where . Then
Proof.
By using the definition of the (DNGLT), we have
Utilizing the following, let , , and , the above integral, become
By utilizing the formula hence the over equation become
thus
accordingly
□
Theorem 3.
If DNGLT of the function is given by then
where is the Heaviside unit step function defined by
at , and at
Proof.
By the definition of DNGLT, we have
by putting
□
2.2. The Double Natural Transform of the Convolution Product
Theorem 4.
Assume that the (DNGLT) of the functions and exist. Then the (DNGLT) of the triple convolution of the and ,
is identified by
where and are the (DNGLT) of the functions and respectively.
Proof.
Exploiting the definition of the (DNGLT) and triple convolution grants that
using the Heaviside unit step function, which is defined in Theorem 3. Set and and extend the higher boundaries of integrals to , , ; thus, we have
where the functions are determined at and Consequently, are zero at , and thus
Therefore
□
2.3. The Essential Characteristics of (DNGLT) Regarding Partial Derivatives
In this section, we expand the NGLT presented in [26] to encompass the (DNGLT) of partial derivatives.
If the (DNGLT) of the function is denoted by
then the (DNGLT) values of
are given by
and
In the next theorem, we present the (DNGLT) of the functions , and .
Theorem 5.
If the (DNGLT) of the partial derivative is expressed by Equation (14), then the (DNGLT) of and are given by
and
Proof.
Utilizing the definition of the (DNGLT) of the second-order partial derivatives, one gains
We achieve
Employing Equation (14), we get
Therefore
In the following theorem, we extend the (DNGLT) to the functions and :
Theorem 6.
If the (DNGLT) of the partial derivative is given by Equation (14), then the (DNGLT) of is expressed as
Proof.
Utilizing the definition of the (DNGLT) of the second-order partial derivatives, one yields
Now, by computing the partial derivative of the above equation with respect to v, one can obtain
According to the above equation,
The upper equation can be written in a formula of (DNGLT) as follows:
By arrangement of the above equation, we obtain
The proof is completed. □
Let us consider the following two-dimensional Boussinesq equation with initial condition
and
In this context, L denotes the linear differential operator, N represents the non-linear differential operator, and corresponds to the external source term. To explore the solution of Equation (22), a subsequent analytical procedure is systematically presented:
For the non-linear component, the formulation is expressed as follows:
where is given by
2.4. Convergence Analysis of the Natural Generalized Laplace Transform Decomposition Method (NGLTDM)
To investigate the convergence of the series solution presented in Equation (33), classical analytical techniques are employed to derive sufficient conditions ensuring both convergence and error control. These results pertain to the application of the (NGLTDM) in solving the two-dimensional Boussinesq equation with non-linear components, as formulated in Equation (22).
Theorem 7.
Let be a Banach space, and let be a mapping associated with (NGLTDM) characterized by Equation (33). Then, Υ has a unique fixed point, and the sequence of solutions converges to the fixed point of Π. If λ denotes a constant with , then .
Proof.
In order to establish that constitutes a Cauchy sequence in let denote the partial sum sequence corresponding to Equation (33) as
Assume that
Given a partial sum sequence and , where and utilizing the triangle inequality, it follows that
From , we notice that , thus
and since is bounded, at . Hence, the sequence is a Cauchy sequence. Consequently, the sequence is in the Banach space . It follows that the corresponding series solution of Equation (33) converges, thereby completing the proof of the theorem. □
Theorem 8.
3. The Double Natural Generalized Laplace Transform Decomposition Method (DNGLTDM) Applied to the Singular Two-Dimensional Boussinesq Equation
In this section, we develop the foundation of the double natural generalized Laplace transform decomposition method (DNGLTDM) for solving singular Boussinesq-type equations. We begin with the singular two-dimensional Boussinesq equation.
- First problem: Consider the general linear singular two-dimensional Boussinesq equation
To solve Equation (36) using DNGLTDM, we proceed as follows:
This yields
where
Streamlining Equation (38) gives
Example 3.
Consider the singular fractional two-dimensional Boussinesq equation
subject to the initial conditions
The approximation solution of Equation (46) is demonstrated by
Figure 1 presents the three-dimensional plots of the approximate solution for various values of The exact solution of Equation (46) at is
Figure 1.
The three-dimensional plots illustrate the approximate solution corresponding to Example 3 for different values of , with , while the variables are fixed at and , respectively.
4. The Double Natural Generalized Laplace Transform Decomposition Method for the Singular 2+1-Dimensional Non-Linear Boussinesq Equation
In this section, we present the proposed method for solving the singular 2+1-dimensional non-linear Boussinesq equation. The approach combines the double natural generalized Laplace transform (DNGLT) with the decomposition method to provide an effective solution framework.
The general form of the singular 2+1-dimensional non-linear Boussinesq equation is expressed as
subject to the initial conditions
where , and are arbitrary functions.
Streamlining Equation (51), we obtain
To confirm the applicability of the proposed method for 2+1-dimensional coupled-system Boussinesq equations, we present the following example with :
Example 4.
The 2+1-dimensional coupled-system Boussinesq equation is imparted by
with initial conditions
Hence
and
where dominated by
Therefore
Likewise, the rest of the terms are granted by
Hence, by utilizing Equation (42) the series solutions are achieved by
Figure 2 presents the three-dimensional plots of the approximate solution over the domain and , for the fixed values (maroon), (red), (blue), and (green).
Figure 2.
The 3D plots of in Example 4 are generated over the domain and , for the fixed values (maroon), (red), (blue), and (green).
5. Conclusions
This study presents several key contributions. First, the double natural generalized Laplace transform (DNGLT) is introduced, and its fundamental properties are established, including conditions for existence, the convolution theorem, and the periodic theorem. Next, the double natural generalized Laplace transform decomposition method (DNGLTDM) is developed by combining the DNGLT with the decomposition approach. Two examples show that the proposed method works and is correct. We examined the singular fractional two-dimensional Boussinesq equation in the first example and the non-linear singular two-dimensional Boussinesq equation in the second example. We use Maple software 2021 to sketch the exact and approximate solutions. Finally, future research will focus on extending this technique to fractional problems arising in physics and related scientific fields.
Author Contributions
Conceptualization, H.E.; Methodology, H.E.; Formal analysis, H.E. and S.A.; Investigation, H.E.; Resources, H.E.; Data curation, S.A.; Writing—original draft, H.E.; Writing—review & editing, H.E. and S.A. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the Ongoing Research Funding Program (ORF-2026-948), King Saud University, Riyadh, Saudi Arabia.
Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
Conflicts of Interest
The authors declare that they have no competing interest.
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