Abstract
The purpose of this paper is to establish solvability results for both direct and inverse problems associated with the diffusion equation involving the Dunkl–Laplacian operator in a punctured domain. We demonstrate the existence and uniqueness of solutions for both types of problems. Additionally, explicit formulas for the solutions to the considered problems are derived.
MSC:
35E15; 35R30
1. Introduction
In this paper, we are interested in studying direct and inverse problems for the diffusion equation
in the domain , where , is a domain in , is a fixed point in , T is a fixed positive number, and is the Caputo fractional derivative. In the x variable, our spatial operator is generated by the first-order singular differential–difference operator on given by
In the variable, we have the following operator:
where is
Classes of operators of the type were studied in [1,2,3,4]. In [1], the authors showed the self-adjointness of . The operator is called the Dunkl operator which was introduced in 1989 by C. Dunkl [5], where . The Dunkl operator is associated with the reflection group on . The Dunkl operators are one of the important model examples of operators in pure mathematics and physics. A solution of the spectral problem generated by the Dunkl operator is called the Dunkl kernel , which is used to define the Dunkl transform [6]. The main properties of the Dunkl transform were given by M.F.E. de Jeu in 1993 [7]. For more information about harmonic analysis associated with the operator , we refer the readers to the papers [7,8,9,10].
Before starting the discussion of our results, we recall that in many physical problems, it is required to determine the coefficients or the right-hand side (the initial term, in the case of the diffusion equation) in the differential equation from some available information; these problems are known as inverse problems. Many authors consider the solvability problem for inverse problems for diffusion equations (see [11,12,13,14,15,16,17,18,19,20] and the references therein).
This paper is organized as follows. In Section 2, we collect some results about harmonic analysis associated with the operator , the Dunkl operator on , and the Caputo fractional operator. In Section 3, we prove our main Theorems 3 and 4 about the solvability of the direct and inverse problems associated with the Dunkl operator on .
We use the following classic notations: the spaces are the space of continuously differentiable functions on , the space of Schwartz functions on , and the set of tempered distributions on , respectively.
2. Preliminaries
2.1. The Operator
In Equation (1), we have the operator
where are real numbers such that . Here, we denote by the set of all functions
where , , is the Sobolev space, is a boundary of the domain , and is a Green function of the Dirichlet problem for the Laplace operator.
We note that is a separable Hilbert space and the operator has a discrete positive spectrum , and the corresponding system of eigenfunctions is a Riesz basis in , where is a countable set. So, there is a unique expansion of the function in the form
where is the Fourier coefficient for all .
Theorem 1
([1], Theorem 2, p. 9). The operator is self-adjoint in the space .
2.2. The Dunkl Operator
The first-order singular differential–difference operator , given by
called the Dunkl operator, associated with the reflexion group on . If , the Dunkl operator turns into the ordinary differential operator .
For and , the spectral problem associated with the Dunkl operator
has a unique solution called the Dunkl kernel, given by
where
is the normalized Bessel function of order .
Remark 1.
For , we have
The solution of this problem is
Theorem 2.
Let and . Then, we have the following estimates for the Dunkl kernel:
for all and . In particular, we have
for all , when .
Definition 1.
We denote by , the space of measurable functions h on such that
Here, is the measure defined on by
For , the Dunkl transform is defined by
This transform has the following properties ([7]):
- (i)
- For all , we have
- (ii)
- For all , the Dunkl transform is a continuous function on satisfying
- (iii)
- (-inversion) For all with , we have
- (iv)
- is a topological isomorphism on which extends to a topological isomorphism on .
- (v)
- (Plancherel theorem) The Dunkl transform is an isometric isomorphism of . In particular,
Notation ([10], p. 22). For , we denote by
the usual Sobolev space on .
2.3. The Caputo Fractional Derivatives
Here, we give basic definitions from fractional calculus.
Definition 2
([21], p. 69). Let be a finite interval on the real axis and . The left and right Riemann–Liouville fractional integrals and of order are defined by
and
respectively.
Definition 3
([21], p. 70). The left and right Riemann–Liouville fractional derivatives and of order are given by
and
respectively.
Definition 4
([21], p. 91). The left and right Caputo fractional derivatives and of order are defined by
and
respectively.
Definition 5
([22], p. 18, Definition 3). Let X be a Banach space. We say that if and .
Lemma 1
([23]). For , the Mittag-Leffler-type function satisfies
3. The Main Result
3.1. Direct Problem
The initial-value problem for the Dunkl-type heat operator was considered by M. Rösler [24], p. 122. Also, readers can find more information about the direct problem for the heat equation associated with the Dunkl operators in Mejjaoli’s papers [25,26].
Let us introduce the following definitions:
Definition 6.
- 1.
- The space is the space on given by the norm
- 2.
- The space is the Sobolev space on given by the norm
- 3.
- The space is the space of all continuous functions on , such that
- 4.
- The space is the space of all continuous functions on , such that
Definition 7.
We define as
In this subsection, we consider the direct problem for (1).
Problem 1.
We aim to find a function u satisfying the equation
under the condition
Our first main result reads as follows.
Theorem 3.
Let and . Then, Problem 1 has a unique solution u in the space , given by
where and are Mittag-Leffler functions:
where and .
Proof.
First, we prove the existence of the solution of Problem 1. By using Dunkl transform (4) and (5) for Problem 1, we obtain
Since is the separable Hilbert space and eigenfunctions of the operator are the Riesz basis in , we seek the function in the form
where Fourier coefficients are unknown functions. Substituting (16) into Equations (14) and (15), we obtain
Here, the functions and are Fourier coefficients of the functions and , respectively. The general solution [21] of Equation (17) is
Putting (19) into (16), we obtain the solution of the problems in (14) and (15), i.e.,
or
Then, applying inverse Dunkl transform (6), we obtain
Consequently, the function u given by Formula (21) is a solution of Problem 1.
Now, we prove the convergence of the obtained infinite series corresponding to the functions , , and . We can see the convergence of the infinite series for the function (20) in the space , i.e.,
from Lemma 1, Hölder’s inequality, and the inequality
Consequently,
Here, for our convenience, we will write , which means for some positive constant C independent of U and W. Applying the operator to (20), we obtain
Then, we have
To obtain the estimate for , we rewrite Equation (14) as follows
Then, we obtain
by using (23) and (24). Thus, we can see the convergence for in the space .
Finally, by estimating the function , as given
from Equation (7) in property (v), we have
The existence is proved.
Now, we will prove the uniqueness of the solution. Let us suppose that and are two different solutions of Problem 1. Then, is the solution of the following problem:
This problem is a particular case of Problem 1 when and . So, this problem has a unique solution (Theorem 3) given by expression (21). Consequently, if in (21) f and g equal zero, it will give us the trivial solution . This means . It contradicts the condition, showing the uniqueness of the solution of Problem 1. □
3.2. Inverse Problem
Problem 2.
Theorem 4.
Assume that . Then, Problem 2 has a unique solution , and , and these can be written in the forms
and
Proof.
First of all, we start by proving the existence result. By using the Dunkl transform (4) on both of sides of (1) and initial and final time conditions (25) and (26), we obtain
where Fourier coefficients are unknown functions. Substituting (16) into Equations (27)–(29), we obtain
with conditions
and
Here, the functions and are Fourier coefficients of the functions and , respectively. The general solution of the equation (30) is
where the functions and are unknown functions. By using conditions (31) and (32) we can find them, as follows:
Then, is represented as
Now, substituting the functions and into (33), we obtain a solution of the problem (30)–(32), given by
and
Thus, it gives us
and
which are a solution of problems (27)–(29).
Now, we check the convergence of the infinite series corresponding to the functions , , , and in the space . First, we check the convergence of the sum (34) corresponding to the function , as follows:
Thus, we obtain
To establish the convergence of the sum corresponding to the function , we need to use
Consequently, we have
or
Now, for , we obtain
Thus,
Finally, by rewriting Equation (27) as follows
we obtain
from (35)–(37).
After calculations,
and by using the inverse Dunkl transform to and , we have a couple of functions given by
and
which is a solution of Problem 2.
Author Contributions
Writing—original draft preparation, B.B.; writing—review and editing, N.T.; supervision, G.N. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grants No. AP14972634 and AP23487589). Niyaz Tokmagambetov is also supported by the Beatriu de Pinós programme and by AGAUR (Generalitat de Catalunya) grant 2021 SGR 00087.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflict of interest.
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