Next Article in Journal
Abstract Impulsive Volterra Integro-Differential Inclusions
Next Article in Special Issue
Lie Symmetries and Third- and Fifth-Order Time-Fractional Polynomial Evolution Equations
Previous Article in Journal
New Explicit Propagating Solitary Waves Formation and Sensitive Visualization of the Dynamical System
Previous Article in Special Issue
New Results for Homoclinic Fractional Hamiltonian Systems of Order α∈(1/2,1]
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A New Perspective on the Exact Solutions of the Local Fractional Modified Benjamin–Bona–Mahony Equation on Cantor Sets

School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
*
Author to whom correspondence should be addressed.
Fractal Fract. 2023, 7(1), 72; https://doi.org/10.3390/fractalfract7010072
Submission received: 30 November 2022 / Revised: 28 December 2022 / Accepted: 5 January 2023 / Published: 9 January 2023
(This article belongs to the Special Issue Advances in Fractional Order Derivatives and Their Applications)

Abstract

:
A new local fractional modified Benjamin–Bona–Mahony equation is proposed within the local fractional derivative in this study for the first time. By defining some elementary functions via the Mittag–Leffler function (MLF) on the Cantor sets (CSs), a set of nonlinear local fractional ordinary differential equations (NLFODEs) is constructed. Then, a fast algorithm namely Yang’s special function method is employed to find the non-differentiable (ND) exact solutions. By this method, we can extract abundant exact solutions in just one step. Finally, the obtained solutions on the CS are outlined in the form of the 3-D plot. The whole calculation process clearly shows that Yang’s special function method is simple and effective, and can be applied to investigate the exact ND solutions of the other local fractional PDEs.

1. Introduction

As is known to all, many complex phenomena occurring in nature involving in optics [1,2,3,4,5], vibration [6,7], social and economic [8], thermal science [9,10], and others [11,12,13] can be modeled by the partial differential equations (PDEs). In recent years, the fractional derivative has been adopted to PDEs to describe many phenomena arising in scientific and engineering fields, such as physics [14,15,16,17,18], biology [19,20,21], chemistry [22,23,24], mechanics [25,26,27], communication engineering [28,29,30,31], and so on [32,33]. Finding the exact solution of the fractional partial differential equation is helpful to further understand and analyze the dynamic behavior of the fractional partial differential equation. Compared with the mathematical model with an integer derivative, the fractional derivative mathematical model can more accurately describe the complex phenomena. Recently, the local fractional derivative (LFD) has attracted wide attention in various fields and some outstanding research results have emerged. In [34], the q-homotopy analysis transform method is applied to study the local fractional Poisson equation. In [35], the local fractional Fokker Planck equation is proposed and the reduced differential transform method and local fractional series expansion method are considered. In [36], the factorization technique is derived to investigate some local fractional PDEs. In [37], the Sumudu transform method, alongside the Adomian decomposition method, is used to employ the local fractional PDEs. In [38], the Mittag–Leffler function-based method is adopted to find the non-differentiable exact solutions of the (2 + 1)-dimensional local fractional breaking soliton equation. In [39], the local fractional variational iteration method is presented to investigate the local fractional heat conduction equation. In [40], the extended rational fractal sine–cosine method is used and six sets of the exact solutions are obtained. In [41], the Local fractional Fourier series method is utilized to study the wave equations. Many other studies can be seen in [42,43,44,45,46]. On the inspiration of the latest research results about the LFD, we present a new local fractional modified Benjamin–Bona–Mahony equation (LFMBBME) below:
ϑ ϑ t ϑ + ϑ ϑ x ϑ + k ϑ 2 ϑ ϑ x ϑ + 2 ϑ x 2 ϑ ϑ ϑ t ϑ = 0 ,
where ϑ ( 0 < ϑ 1 ) is the fractional order, ϑ ϑ t ϑ and ϑ ϑ x ϑ are the local fractional derivatives. The definitions are presented in Section 2. In this work, we aim to investigate the exact ND solutions of the LFMBBME via a fast algorithm known as Yang’s special function method, which can avoid the complicated calculation process and obtain abundant exact solutions in one step. The ideas within work are expected to open up some new horizons in the study of local fractional PDEs. The rest of this article is structured as follows. In Section 2, the properties of the LFD and some special functions are presented. In Section 3, a set of nonlinear local fractional ODEs is constructed. In Section 4, Yang’s special function method is used to find the exact ND solutions, and the behaviors of the solutions on the CS are presented. Finally, a conclusion is reached in Section 5.

2. Basic Theory

In this section, some basic theory that is used to study the problem is presented.
Definition 1.
The LFD of Ξ x with order ϑ is defined as [47]:
d ϑ Ξ x d x ϑ | x = x 0 = lim x x 0 Δ ϑ Ξ x Ξ x 0 x x 0 ϑ ,
where  Δ ϑ Ξ x Ξ x 0 Γ 1 + ϑ Ξ x Ξ x 0 with Euler’s gamma function.
Γ 1 + ϑ = : 0 x ϑ 1 exp x d x .
For the LFD, there is the following rule chain [47]:
d k ϑ Ξ x d x k ϑ = d ϑ d x ϑ d ϑ d x ϑ k t i m e s Ξ x .
Definition 2.
The local fractional integral (LFI) of Ξ x with the fractional order ϑ ( 0 < ϑ 1 ) is defined by [47]:
  a Ι b ϑ Ξ x = 1 Γ 1 + ϑ a b Ξ x d x ϑ = 1 Γ 1 + ϑ lim Δ x k 0 k = 0 N 1 Ξ x k Δ x k ϑ
Here, Δ x k = x k + 1 x k and x 0 = a < x 1 < < x N 1 < x N = b .
Property 1.
The properties of the LFD are listed as follows [47]:
( 1 )   d ϑ d t ϑ p t ± q t = d ϑ d t ϑ p t ± d ϑ d t ϑ q t ,
( 2 )   d ϑ d t ϑ p t q t = q t d ϑ d t ϑ p t + p t d ϑ d t ϑ q t ,
( 3 )   d ϑ d t ϑ p t / q t = q t d ϑ d t ϑ p t p t d ϑ d t ϑ q t q t 2 ,
Definition 3.
The MLF on the CS with fractional order ϑ is defined as [47]:
Μ Ι ϑ γ = = 0 ϑ Γ 1 + ϑ .
Definition 4.
Based on the MLF, we can derive four special functions, namely the SE function, the CH function, the SE function, and the CS function, as [47]:
SH ϑ ϑ = 2 Μ Ι ϑ ϑ + Μ Ι ϑ ϑ ,
CH ϑ ϑ = 2 Μ Ι ϑ ϑ Μ Ι ϑ ϑ ,
SE ϑ ϑ = 2 Μ Ι ϑ i ϑ ϑ + Μ Ι ϑ i ϑ ϑ ,
CS ϑ ϑ = 2 i ϑ Μ Ι ϑ i ϑ ϑ Μ Ι ϑ i ϑ ϑ .
The behaviors of the four special functions on the CS using ϑ = ln 2 / ln 3 are displayed in Figure 1.
Property 2.
The properties of the MLF are given as [47]:
( 1 )   D ϑ Μ Ι ϑ Δ ξ ϑ = Δ Μ Ι ϑ ξ ϑ ,
( 2 )   Μ Ι ϑ ξ ϑ Μ Ι ϑ ζ ϑ = Μ Ι ϑ ξ ϑ + ζ ϑ ,
( 3 )   Μ Ι ϑ ξ ϑ Μ Ι ϑ ζ ϑ = Μ Ι ϑ ξ ϑ ζ ϑ
( 4 )   Μ Ι ϑ ξ ϑ Μ Ι ϑ i ϑ ζ ϑ = Μ Ι ϑ ξ ϑ + i ϑ ζ ϑ
( 5 )   Μ Ι ϑ i ϑ ξ ϑ Μ Ι ϑ i ϑ ζ ϑ = Μ Ι ϑ i ϑ ξ ϑ + i ϑ ζ ϑ

3. Construct of the NLFODEs

In the view of Equation (8), we define the following NLFODE [48]:
φ ϑ ϑ = χ 1 SH ϑ χ 2 ϑ ,
Taking the LFD of Equation (17), we have:
D ϑ φ ϑ ϑ = D ϑ χ 1 SH ϑ χ 2 ϑ = D ϑ 2 χ 1 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ = 2 χ 1 χ 2 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ 2
which gives:
D ϑ φ ϑ 2 = 2 χ 1 χ 2 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ 2 2 = 4 χ 1 2 χ 2 2 Μ Ι ϑ 2 χ 2 ϑ + Μ Ι ϑ 2 χ 2 ϑ 2 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ 4 = 4 χ 1 2 χ 2 2 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ 2 4 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ 4 = χ 1 2 χ 2 2 4 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ 2 16 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ 4 = χ 2 2 χ 1 2 SH ϑ 2 ϑ SH ϑ 4 ϑ = χ 2 2 φ ϑ 2 ϑ 1 1 χ 1 2 φ ϑ 2 ϑ = χ 2 2 φ ϑ 2 ϑ χ 2 2 χ 1 2 φ ϑ 4 ϑ
Based on Equation (9), we can construct the following NLFODE [48]:
φ ϑ ϑ = χ 1 CH ϑ χ 2 ϑ ,
Taking the LFD of the above equation as:
D ϑ φ ϑ ϑ = D ϑ χ 1 CH ϑ χ 2 ϑ = D ϑ 2 χ 1 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ = 2 χ 1 χ 2 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ 2
Then, we have:
D ϑ φ ϑ 2 = 2 χ 1 χ 2 Μ Ι ϑ χ 2 ϑ + Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ 2 2 = 4 χ 1 2 χ 2 2 Μ Ι ϑ 2 χ 2 ϑ + Μ Ι ϑ 2 χ 2 ϑ + 2 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ 4 = 4 χ 1 2 χ 2 2 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ 2 + 4 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ 4 = χ 1 2 χ 2 2 4 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ 2 + 16 Μ Ι ϑ χ 2 ϑ Μ Ι ϑ χ 2 ϑ 4 = χ 2 2 χ 1 2 CH ϑ 2 ϑ + CH ϑ 4 ϑ = χ 2 2 φ ϑ 2 ϑ + χ 2 2 χ 1 2 φ ϑ 4 ϑ
We can also consider the following NLFODE [48]:
φ ϑ ϑ = χ 1 SE ϑ χ 2 ϑ ,
Similarly, its LFD is given by:
D ϑ φ ϑ ϑ = D ϑ χ 1 SE ϑ χ 2 ϑ = D ϑ 2 χ 1 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ = 2 χ 1 χ 2 i ϑ Μ Ι ϑ χ 2 i ϑ ϑ i ϑ Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ 2
Such that
D ϑ φ ϑ ϑ 2 = 2 χ 1 χ 2 i ϑ Μ Ι ϑ χ 2 i ϑ ϑ i ϑ Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ 2 2 = 4 χ 1 2 χ 2 2 Μ Ι ϑ 2 χ 2 i ϑ ϑ + Μ Ι ϑ 2 χ 2 i ϑ ϑ 2 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ 4 = 4 χ 1 2 χ 2 2 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ 2 4 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ 4 = χ 1 2 χ 2 2 4 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ 2 + 16 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ 4 = χ 1 2 χ 2 2 SE ϑ 2 ϑ + SE ϑ 4 ϑ = χ 2 2 φ ϑ 2 ϑ 1 + 1 χ 1 2 φ ϑ 2 ϑ = χ 2 2 φ ϑ 2 ϑ + χ 2 2 χ 1 2 φ ϑ 4 ϑ
In the light of Equation (11), we construct another NLFODE as [48]:
φ ϑ ϑ = χ 1 CS ϑ χ 2 ϑ ,
Applying the LFD for Equation (26) as:
D ϑ φ ϑ ϑ = D ϑ χ 1 CS ϑ χ 2 ϑ = D ϑ 2 χ 1 i ϑ Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ = 2 χ 1 χ 2 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ 2
Thus, we have:
D ϑ φ ϑ 2 = 2 χ 1 χ 2 Μ Ι ϑ χ 2 i ϑ ϑ + Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ 2 2 = 4 χ 1 2 χ 2 2 Μ Ι ϑ 2 χ 2 i ϑ ϑ + Μ Ι ϑ 2 χ 2 i ϑ ϑ + 2 Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ 4 = 4 χ 1 2 χ 2 2 Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ 2 + 4 Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ 4 = χ 1 2 χ 2 2 4 Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ 2 + 16 Μ Ι ϑ χ 2 i ϑ ϑ Μ Ι ϑ χ 2 i ϑ ϑ 4 = χ 1 2 χ 2 2 CS ϑ 2 ϑ + CS ϑ 4 ϑ = χ 2 2 φ ϑ 2 ϑ 1 + 1 χ 1 2 φ ϑ 2 ϑ = χ 2 2 φ ϑ 2 ϑ + χ 2 2 χ 1 2 φ ϑ 4 ϑ
From Equations (19), (22), (25), and (28), we can conclude the general NLFODE as the following form by introducing two parameters p and q:
D ϑ φ ϑ ϑ 2 = p χ 2 2 φ ϑ 2 ϑ + q χ 2 2 χ 1 2 φ ϑ 4 ϑ ,
Obviously, its exact ND solutions are given as:
φ ϑ ϑ = χ 1 SH ϑ χ 2 ϑ ,   f o r   p = 1 , q = 1 χ 1 CH ϑ χ 2 ϑ ,   f o r   p = 1 , q = 1 χ 1 SE ϑ χ 2 ϑ ,   f o r   p = 1 , q = 1 χ 1 CS ϑ χ 2 ϑ ,   f o r   p = 1 , q = 1 .

4. Yang’s Special Function Method

In this section, Yang’s special function method will be adopted to search for the exact ND solutions. For this goal, the following ND transformation is considered [49,50,51]:
ϑ x ϑ , t ϑ = ϑ ϑ ,   ϑ = ρ ϑ x ϑ ϖ ϑ t ϑ ,
Additionally, there is:
lim ϑ 1 ϑ = ρ x ϖ t ,
Putting Equation (31) into Equation (1) gives:
ϑ t ϑ = ϖ ϑ d ϑ d ϑ ,
ϑ ϑ x ϑ = ρ ϑ d ϑ ϑ d ϑ ,
2 ϑ x 2 ϑ ϑ ϑ t ϑ = ρ 2 ϑ ϖ ϑ d 3 ϑ ϑ d ζ 3 ϑ ,
Taking them into Equation (1) yields:
ρ ϑ ϖ ϑ d ϑ d ϑ + k ρ ϑ 2 d ϑ d ϑ ρ 2 ϑ ϖ γ d 3 ϑ d 3 ϑ = 0 ,
where ρ ϑ ϖ ϑ 0 .
Applying the LFI to Equation (36) and ignoring the integral constant yields:
ρ ϑ ϖ ϑ ϑ + 1 3 k ρ ϑ ϑ 3 ρ 2 ϑ ϖ γ d 2 ϑ ϑ d 2 ϑ = 0 ,
By multiplying both sides of above equation by d ϑ ϑ d ϑ , we have:
ρ ϑ ϖ ϑ ϑ d ϑ ϑ d ϑ + 1 3 k ρ ϑ ϑ 3 d ϑ ϑ d ϑ ρ 2 ϑ ϖ γ d 2 ϑ ϑ d 2 ϑ d ϑ ϑ d ϑ = 0 ,
Taking the LFI of the above equation leads to:
1 2 ρ ϑ ϖ ϑ ϑ 2 + 1 12 k ρ ϑ ϑ 4 1 2 ρ 2 ϑ ϖ γ d ϑ ϑ d ϑ 2 = Δ ,
Here, Δ is the integral constant. Letting Δ to be zero, we have:
1 2 ρ ϑ ϖ ϑ ϑ 2 + 1 12 k ρ ϑ ϑ 4 1 2 ρ 2 ϑ ϖ γ d ϑ ϑ d ϑ 2 = 0 .
Such that:
d ϑ ϑ d ϑ 2 = ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ ϑ 2 + k 6 ρ ϑ ϖ ϑ ϑ 4 .
By comparing Equation (41) and Equation (29), we have:
Set 1: For p = 1 , q = 1 , there is:
ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ = χ 2 2 ,
k 6 ρ ϑ ϖ ϑ = χ 2 2 χ 1 2 ,
According to Equations (42) and (43), we have:
χ 1 = 6 ϖ ϑ ρ ϑ k ρ ϑ ,   χ 2 = ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ ,
Thus, we can obtain the exact solution of Equation (1) as:
ϑ x , t = 6 ϖ ϑ ρ ϑ k ρ ϑ SH ϑ ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ ρ ϑ x ϑ ϖ ϑ t ϑ .
For ϖ ϑ = 1 , ρ ϑ = 2 , k = 1 , we display the profile of the exact ND solution given by Equation (45) on the CS in Figure 2. Here, the t and x are both selected on the CS range 0 to 1, and the fractional order is used as ϑ = ln 2 / ln 3 . It can be found that the value of the solution is between 1 and 1.8. In addition, the figure is the blocky structure which conforms to the CS characteristics.
Set 2: For p = 1 , q = 1 , there is:
ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ = χ 2 2 ,
k 6 ρ ϑ ϖ ϑ = χ 2 2 χ 1 2 ,
We have:
χ 1 = 6 ρ ϑ ϖ ϑ k ρ ϑ ,   χ 2 = ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ ,
Then, the second exact ND solution of Equation (1) is attained as:
ϑ x , t = 6 ρ ϑ ϖ ϑ k ρ ϑ CH ϑ ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ ρ ϑ x ϑ ϖ ϑ t ϑ .
For using ϖ ϑ = 1 , ρ ϑ = 2 , k = 1 , we display the solution Equation (49) on the CS for ϑ = ln 2 / ln 3 in Figure 3. The values of t and x are all selected on the CS from 0 to 1. It can be found that the profile of Equation (49) is the blocky structure, and when the coordinate (x, t) is close to (0, 0), the value of the solution increases rapidly.
Set 3: For p = 1 , q = 1 , there is:
ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ = χ 2 2 ,
k 6 ρ ϑ ϖ ϑ = χ 2 2 χ 1 2 ,
There is:
χ 1 = 6 ϖ ϑ ρ ϑ k ρ ϑ ,   χ 2 = ϖ ϑ ρ ϑ ρ 2 ϑ ϖ ϑ ,
Correspondingly, we can find the exact ND solutions of Equation (1) as:
ϑ x , t = 6 ϖ ϑ ρ ϑ k ρ ϑ SE ϑ ϖ ϑ ρ ϑ ρ 2 ϑ ϖ ϑ ρ ϑ x ϑ ϖ ϑ t ϑ ,
By choosing the parameters as ϖ ϑ = 2 , ρ ϑ = 1 , k = 1 , we display the outline of Equation (53) on CS for ϑ = ln 2 / ln 3 in Figure 4. Here, the outline of the solution is also the blocky structure which corresponds to the characteristics of the CS. Additionally, the value of the solution increases rapidly when (x, t) is close to (1, 0).
Set 4: For p = 1 , q = 1 , there is:
ρ ϑ ϖ ϑ ρ 2 ϑ ϖ ϑ = χ 2 2 ,
k 6 ρ ϑ ϖ ϑ = χ 2 2 χ 1 2 ,
There is:
χ 1 = 6 ϖ ϑ ρ ϑ k ρ ϑ ,   χ 2 = ϖ ϑ ρ ϑ ρ 2 ϑ ϖ ϑ ,
Correspondingly, we can find the exact ND solutions of Equation (1) as:
ϑ x , t = 6 ϖ ϑ ρ ϑ k ρ ϑ CS ϑ ϖ ϑ ρ ϑ ρ 2 ϑ ϖ ϑ ρ ϑ x ϑ ϖ ϑ t ϑ .
For using ϖ ϑ = 1 , ρ ϑ = 1 , k = 1 , we display the profile of the Equation (57) solution on the CS with ϑ = ln 2 / ln 3 in Figure 5. Similar to Equation (49), the blocky structure increases rapidly when (x, t) is close to (0, 0).
It should be noted that the correctness of the exact obtained ND solutions provided by Equations (45), (49), (53), and (57) are verified by substituting them into Equation (41).

5. Conclusions

This paper proposes a new local fractional modified Benjamin–Bona–Mahony equation based on the local fractional derivative. A group of nonlinear local fractional ordinary differential equations is constructed by defining some elementary functions via the Mittag–Leffler function on the Cantor set. A simple and effective approach, called Yang’s special function method, is suggested for the first time to solve this problem. By using this method, we can obtain four different exact solutions in just one step. Furthermore, the obtained solutions on the Cantor set are outlined in the form of a 3-D plot. It is revealed that the one-step method is effective and can be utilized to study the other local fractional PDEs.

Author Contributions

Conceptualization, K.-J.W.; methodology, K.-J.W.; writing—original draft preparation, K.-J.W.; software, F.S.; validation, F.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work is supported by the Key Programs of Universities in Henan Province of China (22A140006), the Fundamental Research Funds for the Universities of Henan Province (NSFRF210324), the Program of Henan Polytechnic University (B2018-40), and the Innovative Scientists and Technicians Team of Henan Provincial High Education (21IRTSTHN016).

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Biswas, A.; Milovic, D.; Koh, R. Optical soliton perturbation in a log-law medium with full nonlinearity by He’s semi-inverse variational principle. Inverse Probl. Sci. Eng. 2021, 20, 227–232. [Google Scholar] [CrossRef]
  2. Wang, K.J.; Liu, J.-H. Diverse optical soliton solutions to the Kundu-Mukherjee-Naskar equation via two novel techniques. Optik 2023, 273, 170403. [Google Scholar] [CrossRef]
  3. Muniyappan, A.; Sahasraari, L.N.; Anitha, S.; Ilakiya, S.; Biswas, A.; Yıldırım, Y.; Triki, H.; Alshehri, H.M.; Belic, M.R. Family of optical solitons for perturbed Fokas–Lenells equation. Optik 2022, 249, 168224. [Google Scholar] [CrossRef]
  4. Wang, K.J. Diverse soliton solutions to the Fokas system via the Cole-Hopf transformation. Optik 2023, 272, 170250. [Google Scholar] [CrossRef]
  5. Lü, X.; Chen, S.-J. New general interaction solutions to the KPI equation via an optional decoupling condition approach. Commun. Nonlinear Sci. Numer. Simul. 2021, 103, 105939. [Google Scholar] [CrossRef]
  6. Qie, N.; Houa, W.F.; He, J.H. The fastest insight into the large amplitude vibration of a string. Rep. Mech. Eng. 2021, 2, 1–5. [Google Scholar] [CrossRef]
  7. He, C.H.; Tian, D.; Salman, H.F.; Zekry, M.H. Hybrid Rayleigh-Van der Pol-Duffing Oscillator (HRVD): Stability Analysis and Controller. J. Low Freq. Noise Vib. Act. Control. 2022, 41, 244–268. [Google Scholar] [CrossRef]
  8. Guo, A.; Ding, X.; Zhong, F.; Cheng, Q.; Huang, C. Predicting the future chinese population using shared socioeconomic pathways, the sixth national population census, and a PDE model. Sustainability 2019, 11, 3686. [Google Scholar] [CrossRef] [Green Version]
  9. Sohail, M.; Naz, R.; Shah, Z.; Kumam, P.; Thounthong, P. Exploration of temperature dependent thermophysical characteristics of yield exhibiting non-Newtonian fluid flow under gyrotactic microorganisms. AIP Adv. 2019, 9, 125016. [Google Scholar] [CrossRef] [Green Version]
  10. Abdelsalam, S.I.; Sohail, M. Numerical approach of variable thermophysical features of dissipated viscous nanofluid comprising gyrotactic micro-organisms. Pramana 2020, 94, 1–12. [Google Scholar] [CrossRef]
  11. Dashraath, P.; Wong, J.L.; Lim, M.X.; Lim, L.M.; Li, S.; Biswas, A.; Choolani, M.; Mattar, C.; Su, L.L. Coronavirus disease 2019 (COVID-19) pandemic and pregnancy. Am. J. Obstet. Gynecol. 2020, 222, 521–531. [Google Scholar] [CrossRef]
  12. Wang, K.J. Variational principle and diverse wave structures of the modified Benjamin-Bona-Mahony equation arising in the optical illusions field. Axioms 2022, 11, 445. [Google Scholar] [CrossRef]
  13. Singh, A.P.; Biswas, A.; Shukla, A.; Maiti, P. Targeted therapy in chronic diseases using nanomaterial-based drug delivery vehicles. Signal Transduct. Target. Ther. 2019, 4, 1–21. [Google Scholar] [CrossRef] [Green Version]
  14. Liu, J.-G.; Yang, X.-J.; Geng, L.-L.; Yu, X.-J. On fractional symmetry group scheme to the higher dimensional space and time fractional dissipative Burgers equation. Int. J. Geom. Methods Mod. Phys. 2022, 19, 2250173. [Google Scholar] [CrossRef]
  15. Wang, K.J. Bäcklund transformation and diverse exact explicit solutions of the fractal combined KdV-mKdV equation. Fractals 2022, 30, 2250189. [Google Scholar] [CrossRef]
  16. Muhammad, S.; Mohyud-Din, S.T. Reduced differential transform method for time-fractional heat equations. Int. J. Mark. Trade Policy 2012, 1, 13–22. [Google Scholar]
  17. Wang, K.L. New perspective to the fractal Konopelchenko-Dubrovsky equations with M-truncated fractional derivative. Int. J. Geom. Methods Mod. Phys. 2023, 2023, 2350072. [Google Scholar] [CrossRef]
  18. Xiao, B.; Huang, Q.; Chen, H.; Chen, X.; Long, G. A fractal model for capillary flow through a single tortuous capillary with roughened surfaces in fibrous porous media. Fractals 2021, 29, 2150017. [Google Scholar] [CrossRef]
  19. Baleanu, D.; Abadi, M.H.; Jajarmi, A.; Vahid, K.Z.; Nieto, J.J. A new comparative study on the general fractional model of COVID-19 with isolation and quarantine effects. Alex. Eng. J. 2022, 61, 4779–4791. [Google Scholar] [CrossRef]
  20. Zhang, Y.; Yu, X.; Sun, H.; Tick, G.R.; Wei, W.; Jin, B. Applicability of time fractional derivative models for simulating the dynamics and mitigation scenarios of COVID-19. Chaos Solitons Fractals 2020, 138, 109959. [Google Scholar] [CrossRef]
  21. Ghanbari, B.; Kumar, S.; Kumar, R. A study of behaviour for immune and tumor cells in immunogenetic tumour model with non-singular fractional derivative. Chaos Solitons Fractals 2020, 133, 109619. [Google Scholar] [CrossRef]
  22. He, J.H. A simple approach to one-dimensional convection-diffusion equation and its fractional modification for E reaction arising in rotating disk electrodes. J. Electroanal. Chem. 2019, 854, 113565. [Google Scholar] [CrossRef]
  23. Singh, H.; Srivastava, H.M. Numerical simulation for fractional-order Bloch equation arising in nuclear magnetic resonance by using the Jacobi polynomials. Appl. Sci. 2020, 10, 2850. [Google Scholar] [CrossRef] [Green Version]
  24. Kumar, S.; Kumar, A.; Momani, S.; Aldhaifallah, M.; Nisar, K.S. Numerical solutions of nonlinear fractional model arising in the appearance of the strip patterns in two-dimensional systems. Adv. Differ. Equ. 2019, 2019, 1–19. [Google Scholar] [CrossRef]
  25. Patnaik, S.; Sidhardh, S.; Semperlotti, F. Towards a unified approach to nonlocal elasticity via fractional-order mechanics. Int. J. Mech. Sci. 2021, 189, 105992. [Google Scholar] [CrossRef]
  26. Wang, G.; Liu, Y.; Wu, Y.; Su, X. Symmetry analysis for a seventh-order generalized KdV equation and its fractional version in fluid mechanics. Fractals 2020, 28, 2050044. [Google Scholar] [CrossRef]
  27. Raja, M.A.; Manzar, M.A.; Shah, S.M.; Chen, Y. Integrated intelligence of fractional neural networks and sequential quadratic programming for Bagley-Torvik systems arising in fluid mechanics. J. Comput. Nonlinear Dyn. 2020, 15, 051003. [Google Scholar] [CrossRef]
  28. Kiani-B, A.; Fallahi, K.; Pariz, N.; Leung, H. A chaotic secure communication scheme using fractional chaotic systems based on an extended fractional Kalman filter. Commun. Nonlinear Sci. Numer. Simul. 2009, 14, 863–879. [Google Scholar] [CrossRef]
  29. Tian, X.; Sun, X.; Yu, X.; Li, X. Modulation pattern recognition of communication signals based on fractional low-order Choi-Williams distribution and convolutional neural network in impulsive noise environment. In Proceedings of the 2019 IEEE 19th International Conference on Communication Technology (ICCT), Xi’an, China, 16–19 October 2019; IEEE: New York, NY, USA, 2019; pp. 188–192. [Google Scholar]
  30. Kalikulov, N.; Zhussip, D.; Zhexenov, N.; Kizilirmak, R.C. Multipath diversity for OFDM based visible light communication systems Through fractional sampling. Wirel. Pers. Commun. 2020, 112, 2715–2724. [Google Scholar] [CrossRef]
  31. Dimitrov, D.; Abdo, H. Tight independent set neighborhood union condition for fractional critical deleted graphs and ID deleted graphs. Discret. Contin. Dyn. Syst. S 2019, 12, 711. [Google Scholar] [CrossRef] [Green Version]
  32. Xiao, B.; Wang, W.; Zhang, X.; Long, G.; Fan, J.; Chen, H.; Deng, L. A novel fractal solution for permeability and Kozeny-Carman constant of fibrous porous media made up of solid particles and porous fibers. Powder Technol. 2019, 349, 92–98. [Google Scholar] [CrossRef]
  33. Stojiljković, V.; Ramaswamy, R.; Abdelnaby, O.A.A.; Radenović, S. Some Novel Inequalities for LR-(k,h-m)-p Convex Interval Valued Functions by Means of Pseudo Order Relation. Fractal Fract. 2022, 6, 726. [Google Scholar] [CrossRef]
  34. Singh, J.; Ahmadian, A.; Rathore, S.; Kumar, D.; Baleanu, D.; Salimi, M.; Salahshour, S. An efficient computational approach for local fractional Poisson equation in fractal media. Numer. Methods Part. Differ. Equ. 2021, 37, 1439–1448. [Google Scholar] [CrossRef]
  35. Singh, J.; Jassim, H.K.; Kumar, D. An efficient computational technique for local fractional Fokker Planck equation. Phys. A: Stat. Mech. Its Appl. 2020, 555, 124525. [Google Scholar] [CrossRef]
  36. Yang, X.J.; Gao, F.; Srivastava, H.M. A new computational approach for solving nonlinear local fractional PDEs. J. Comput. Appl. Math. 2018, 339, 285–296. [Google Scholar] [CrossRef]
  37. Ziane, D.; Baleanu, D.; Belghaba, K.; Cherif, M.H. Local fractional Sumudu decomposition method for linear partial differential equations with local fractional derivative. J. King Saud Univ. Sci. 2019, 31, 83–88. [Google Scholar] [CrossRef]
  38. Wang, K.J.; Si, J. On the non-differentiable exact solutions of the (2+1)-dimensional local fractional breaking soliton equation on Cantor sets. Math. Methods Appl. Sci. 2023, 46, 1456–1465. [Google Scholar] [CrossRef]
  39. Yang, X.J.; Baleanu, D. Fractal heat conduction problem solved by local fractional variation iteration method. Therm. Sci. 2013, 17, 625–628. [Google Scholar] [CrossRef]
  40. Wang, K.J. Investigation to the local fractional Fokas system on Cantor set by a novel technology. Fractals 2022, 30, 2250112. [Google Scholar] [CrossRef]
  41. Yang, Y.J.; Baleanu, D.; Yang, X.J. Analysis of fractal wave equations by local fractional Fourier series method. Adv. Math. Phys. 2013, 2013, 632309. [Google Scholar] [CrossRef] [Green Version]
  42. Wang, K.L. A novel perspective to the local fractional bidirectional wave model on Cantor sets. Fractals 2022, 30, 2250107. [Google Scholar] [CrossRef]
  43. Wang, K.L. A novel perspective to the local fractional Zakharov-Kuznetsov-modified equal width dynamical model on Cantor sets. Math. Methods Appl. Sci. 2022, 46, 622–630. [Google Scholar] [CrossRef]
  44. Dubey, V.P.; Singh, J.; Alshehri, A.M.; Dubey, S.; Kumar, D. A comparative analysis of two computational schemes for solving local fractional Laplace equations. Math. Methods Appl. Sci. 2021, 44, 13540–13559. [Google Scholar] [CrossRef]
  45. Su, W.H.; Yang, X.J.; Jafari, H.; Baleanu, D. Fractional complex transform method for wave equations on Cantor sets within local fractional differential operator. Adv. Differ. Equ. 2013, 2013, 1–8. [Google Scholar] [CrossRef] [Green Version]
  46. Sang, X.; Zhang, Z.; Yang, H.; Han, X. Exact Traveling Wave Solutions of the Local Fractional Bidirectional Propagation System Equations. Fractal Fract. 2022, 6, 653. [Google Scholar] [CrossRef]
  47. Yang, X.J.; Baleanu, D.; Srivastava, H.M. Local Fractional Integral Transforms and Their Applications; Academic Press: Cambridge, MA, USA, 2015. [Google Scholar]
  48. Yang, X.J.; Gao, F.; Srivastava, H.M. Non-differentiable exact solutions for the nonlinear ODEs defined on fractal sets. Fractals 2017, 25, 1740002. [Google Scholar] [CrossRef] [Green Version]
  49. Ghanbari, B. Abundant exact solutions to a generalized nonlinear Schrödinger equation with local fractional derivative. Math. Methods Appl. Sci. 2021, 44, 8759–8774. [Google Scholar] [CrossRef]
  50. Yang, X.J.; Gasimov, Y.S.; Gao, F.; Allahverdiyeva, N. Travelling-wave solutions for Klein-Gordon and Helmholtz equations on cantor sets. Proc. Inst. Math. Mechanics. 2017, 43, 123–131. [Google Scholar]
  51. Ghanbari, B. On novel nondifferentiable exact solutions to local fractional Gardner’s equation using an effective technique. Math. Methods Appl. Sci. 2021, 44, 4673–4685. [Google Scholar] [CrossRef]
Figure 1. The outline of the special functions on the CS: (a) for the SE function, (b) for the CH function, (c) for the SE function, (d) and for the CS function.
Figure 1. The outline of the special functions on the CS: (a) for the SE function, (b) for the CH function, (c) for the SE function, (d) and for the CS function.
Fractalfract 07 00072 g001
Figure 2. The profile of Equation (45) on CS with ϖ ϑ = 1 , ρ ϑ = 2 , and k = 1 for ϑ = ln 2 / ln 3 .
Figure 2. The profile of Equation (45) on CS with ϖ ϑ = 1 , ρ ϑ = 2 , and k = 1 for ϑ = ln 2 / ln 3 .
Fractalfract 07 00072 g002
Figure 3. The profile of Equation (49) on CS with ϖ ϑ = 1 , ρ ϑ = 2 , k = 1 for ϑ = ln 2 / ln 3 .
Figure 3. The profile of Equation (49) on CS with ϖ ϑ = 1 , ρ ϑ = 2 , k = 1 for ϑ = ln 2 / ln 3 .
Fractalfract 07 00072 g003
Figure 4. The profile of Equation (53) on CS with ϖ ϑ = 2 , ρ ϑ = 1 , k = 1 for ϑ = ln 2 / ln 3 .
Figure 4. The profile of Equation (53) on CS with ϖ ϑ = 2 , ρ ϑ = 1 , k = 1 for ϑ = ln 2 / ln 3 .
Fractalfract 07 00072 g004
Figure 5. The profile of Equation (57) on CS with ϖ ϑ = 1 , ρ ϑ = 1 , k = 1 for ϑ = ln 2 / ln 3 .
Figure 5. The profile of Equation (57) on CS with ϖ ϑ = 1 , ρ ϑ = 1 , k = 1 for ϑ = ln 2 / ln 3 .
Fractalfract 07 00072 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, K.-J.; Shi, F. A New Perspective on the Exact Solutions of the Local Fractional Modified Benjamin–Bona–Mahony Equation on Cantor Sets. Fractal Fract. 2023, 7, 72. https://doi.org/10.3390/fractalfract7010072

AMA Style

Wang K-J, Shi F. A New Perspective on the Exact Solutions of the Local Fractional Modified Benjamin–Bona–Mahony Equation on Cantor Sets. Fractal and Fractional. 2023; 7(1):72. https://doi.org/10.3390/fractalfract7010072

Chicago/Turabian Style

Wang, Kang-Jia, and Feng Shi. 2023. "A New Perspective on the Exact Solutions of the Local Fractional Modified Benjamin–Bona–Mahony Equation on Cantor Sets" Fractal and Fractional 7, no. 1: 72. https://doi.org/10.3390/fractalfract7010072

Article Metrics

Back to TopTop