Abstract
A fractional wave equation with a fractional Riemann–Liouville derivative is considered. An arbitrary self-adjoint operator A with a discrete spectrum was taken as the elliptic part. We studied the inverse problem of determining the order of the fractional time derivative. By setting the value of the projection of the solution onto the first eigenfunction at a fixed point in time as an additional condition, the order of the derivative was uniquely restored. The abstract operator A allows us to include many models. Several examples of operator A are discussed at the end of the article.
1. Introduction
In applied fractional modeling, the order of the fractional derivative is often unknown, and determining this order is an important inverse problem (see, for example, the review article [1]). In this paper, we consider the inverse problem of determining the order of the fractional time derivative in the wave equation. The method proposed in the article is based on the classical Fourier method. This allows us to consider an arbitrary self-adjoint operator with a discrete spectrum as the elliptic part of the equation.
Since a precise statement of our main result requires several definitions, here (in the introduction) we formulate the corresponding result on the example of the following simple initial-boundary value problem. Let be an unknown number to be determined. Consider the time-fractional string vibration equation with the Riemann–Liouville fractional derivative (see the next Section for the definition) of order :
and attach the -periodical boundary conditions and the following initial conditions
where , and are -periodical given functions (for the motivation to consider periodic boundary conditions, see the fundamental book by Courant and Hilbert [2] and the solution methods for the case see the book [2], for the case see [3,4]). Under certain conditions on these functions, there is a unique solution to this problem. Obviously, this solution depends on the choice of the order of the derivative . Now let us ask a question: is there any additional information about the solution at a fixed moment of time that allows us to uniquely determine the parameter ?
As it follows from the main result of this paper, the answer is “yes”. As for additional information at a fixed time instant , one may consider the following:
Knowledge of the value of this integral determines the parameter and, moreover, if one has two pairs of solutions and , then and .
It should be noted that the first eigenfunction of the corresponding spectral problem is equal to . Therefore, integral (1) is in fact, the projection of the solution onto the first eigenfunction.
This result can be interpreted as follows. The vibration of a string is usually perceived by us by the sound made by the string. The sound of a string is an overlay of simple tones corresponding to standing waves, into which vibration is decomposed. The above result states: having heard only one standing wave, one can uniquely determine the order of the fractional derivative in the corresponding equation of string vibrations.
Usually, inverse problems in the theory of partial differential equations are called problems in which, along with the solution of a differential equation, it is also necessary to determine a certain coefficient of the equation or the right side or the initial or boundary function. Naturally, in this case, in order to find a new unknown function, additional information (redefinition condition) is required on the solution to the differential equation. Moreover, the redefinition condition must ensure both the existence and uniqueness of the solution to the inverse problem. Since inverse problems have important applications in many areas of modern science, including mechanics, seismology, medical tomography, geophysics, and much more (see, for example, refs. [5,6] and references therein), interest in their study is constantly growing.
As noted above, in this paper we study another inverse problem, namely, the problem of restoring the order of a fractional derivative in partial differential equations. This inverse problem has been studied in many papers ([1,7,8,9,10,11,12,13]). It should be noted that in all these publications the unknown order of the derivative is less than one (that is, ), and the following equality was considered as a redefinition condition
at the observation point . Since the goal is to find the order of the derivative in time, it seems natural to have information about the solution on a large time scale. However, this condition, as a rule (an exception is paper [13] by J. Janno, where both uniqueness and existence are proved, see below), can ensure only the uniqueness of the solution to the inverse problem. However, as the main result of this paper states, condition (1) guarantees both the existence and uniqueness of a solution.
The problem concerning the uniqueness of the solution to the inverse problem with condition (2) was studied in papers [7,8,9,10]. The authors of [7,8] considered subdiffusion equations with the Gerasimov–Caputo derivative (see next Section for definition). The problems for multi-term time-fractional diffusion equations and distributed order fractional diffusion equations were considered in papers by Li et al. [9,10], correspondingly. In the paper by J. Cheng et al. [7], the authors showed, in addition to the uniqueness of the order , the uniqueness of the diffusion coefficient .
As far as we know, the only paper [13] by J. Janno deals with the existence problem. The author considered a subdiffusion equation with the Gerasimov–Caputo derivative. By setting an additional boundary condition , with some functional B, the author proved the existence of an unknown order of the derivative and the kernel of the integral operator involved in the equation. The complexity of the proof of existence is due to the fact that the function cannot be given arbitrarily; since t changes where the equation takes place, the function must somehow be related to the equation. This circumstance is evident from the formulation of the corresponding theorem (see Theorem 7.2 of the work, which is formulated on more than one page of the journal).
In paper [14], Hatano et al., the equation is considered with the Dirichlet boundary condition and the initial function . The authors proved the following property of the parameter : if and , then
It should be noted that the problem considered and solved in the present article was formulated as open in the “Open Problems” section of the recent review [1] (p. 440) by Z. Li et al.: “The studies on inverse problems of the recovery of the fractional orders … are far from satisfactory since all the publications either assumed the homogeneous boundary condition or studied this inverse problem by the measurement on . It would be interesting to investigate inverse problem by the value of the solution at a fixed time as the observation data”.
In references [15,16,17,18,19,20,21,22], this problem is discussed for various equations of mathematical physics. We note right away that in these works the authors prove not only the uniqueness of the solution to the inverse problem but also its existence. The method used in this paper was first proposed in a recent paper [15], where similar questions are investigated for the subdiffusion equation with a fractional Riemann–Liouville derivative of order . The elliptic part of the equation considered in [15] is a second-order differential operator. The authors of [15] instead of the redefinition condition (2), considered a condition that meets the requirements formulated in the open problem formulated above. Namely, as a redefinition condition, they took the projection of the solution onto the first eigenfunction of the elliptic part of the equation at a fixed point in time. However, note that the method of [15] requires the first eigenvalue to be zero. This limitation was lifted in recent works by Alimov and Ashurov [16,17]. The authors of these papers, taking an additional condition in the form and the boundary condition not necessarily homogeneous, proved both the existence and uniqueness of a solution to the inverse problem. In this case, the norm is a part of the potential energy. Indeed, if, for example, the elliptic part of the equation has the form , then the potential energy is equal to the sum of the norms .
In reference [12,18], the inverse problem was studied, where it is required to determine, along with the solution to the equation, both the order of the derivative and the right-hand side of the equation. The authors of [12] proved only the uniqueness of the solution to the inverse problem, while the authors of [18] proved the existence and uniqueness theorem.
The authors of [19] have studied the subdiffusion equations, the elliptic part of which has a continuous spectrum. In this work, along with other problems, the inverse problem of determining the order of the derivative with respect to both space and time is solved.
As far as we know, the inverse problem under consideration for a mixed-type equation was first studied in [20]. The inverse problem for the fractional wave equation was studied in [21]. In this work, in contrast to the present work, the fractional derivative is taken in the Gerasimov–Caputo sense. Without additional restrictions on the spectrum of operator A, the authors present a solution to the problem posed in the review [1] for the fractional order wave equation.
We note one more paper [22], where a system of subdiffusion equations is considered, the elliptic part of which is elliptic pseudodifferential operators. The authors managed to find such additional conditions for solving the inverse problem of restoring the order of fractional derivatives, which guarantees both the uniqueness and the existence of a solution. It should be specially noted that the desired order of the fractional derivative in this work is a vector.
We also note the recent work [23], where the uniqueness of the inverse problem for the simultaneous determination of the coefficient of the equation and the order of the fractional derivative is proved.
In order to not be distracted by the technical aspects of the issue, connected with the uniform convergence of the Fourier series, we first consider an abstract statement of the problem. Then, at the end of the paper, we will make the necessary remarks for the transition to the classical setting.
This article is organized as follows. In the next section, we give the necessary definitions and formulate the main result. Note that the elliptic part of our fractional wave equation is an arbitrary self-adjoint operator A in a Hilbert space. Section 2 proves the existence and uniqueness of a solution to the direct problem. This result will be used to prove the main result in Section 3. Section 4 gives various examples of operator A for which the main result of the paper is valid. The article ends with a conclusion.
2. Main Result
Consider an arbitrary nonnegative self-adjoint operator A in a separable Hilbert space H. Let be a scalar product and a norm in H. Assume that A has a compact inverse and denote by the complete system of orthonormal eigenfunctions and by a countable set of nonnegative eigenvalues: .
For vector functions (or just functions) , fractional analogs of integrals and derivatives are defined using the definition of strong integral and strong derivative (see, for example, [24]). In this case, the known formulas and properties of fractional integrals and derivatives are preserved. Thus, fractional integration in the Riemann–Liouville sense of order is defined as
provided the right-hand side exists as an element of H. Here the symbol denotes the Euler gamma function. By this definition, we define the fractional derivative of order , , , in the Riemann–Liouville sense as
If in this equality the fractional integral and derivative are interchanged, then we obtain the definition of the Gerasimov–Caputo fractional derivative.
It is easy to see that for the fractional derivative coincides with the classical derivative of integer order: . For general information on fractional integro-differential operators of different classes with many applications cf. [3,25,26].
Let be an unknown constant number and let stand for a set of continuous functions of with values in H. Consider the Cauchy-type problem:
where the limit is taken in H norm, , and are given elements of H.
Definition 1.
If a function has the properties
- 1.
- ,
- 2.
We first prove that for any given functions , and , the solution of this problem exists and it is unique. This solution obviously will depend on . To determine this number we use the additional condition:
where is defined later.
We call problem (3) and (4) the forward problem. Problem (3) and (4) together with extra condition (5) is called the inverse problem.
Let us denote by the Mittag-Leffler function of the form
On Mittag-Leffler functions cf. [4,25,27,28].
Theorem 1.
Forward problems for fractional linear wave equations and systems of such equations, involving various elliptic operators and the properties of their solutions have been studied by many authors. Since the main purpose of this article is the solution to the inverse problem, without dwelling on these papers, we refer interested readers to review papers [29,30]. We also note that in a number of papers, initial boundary value problems and the properties of their solutions for nonlinear fractional wave equations are also studied (see, for example, ref. [31] and the literature therein).
Definition 2.
Let us describe the proposed method for solving the inverse problem when the following conditions are satisfied
If these conditions are not satisfied, then the method becomes technically cumbersome. Further, let parameter in (5) be defined as
Let us formulate a result on the inverse problem.
Theorem 2.
3. Forward Problem
In this section, we prove Theorem 1. In accordance with the Fourier method, we will seek the solution to the problem (3) and (4) as a series:
where functions are solutions to the Cauchy-type problem
The uniqueness of the forward problem’s solution can be proved by the standard technique based on the completeness in H of the set of eigenfunctions . For convenience, we present a proof here (see, for example [33], for the case ).
Proof.
Assume the opposite, i.e., let the problem (3) and (4) have two solutions and . Let us prove that . Due to the linearity of the problem, to determine we obtain the homogeneous problem:
Let be a solution of problem (11) and (12) and be an arbitrary eigenfunction with the corresponding eigenvalue . Consider the function
By definition of the solution, we may write
Therefore, we have the Cauchy problem for :
This problem has a unique null solution: (see (10)). Due to the completeness of systems of eigenfunctions , this means that for all (see (13)). Hence the uniqueness is proved.
We turn to the proof of the existence of a solution to the forward problem. For this, we recall the following estimate for the Mittag-Leffler function with a negative argument (see, e.g., [32], p. 29)
Therefore, for any positive eigenvalues one has
with . Indeed, if , then
and if , then
The fact that function (6) formally satisfies Equation (3) follows from the definition of functions (see (9)). Therefore, by Definition 1, we first need to prove that function (6) satisfies . Consider the sum
By virtue of the Parseval equality, we may rewrite
Using the inequality we have three sums on the right side.
For the first sum, one has
Here, we use estimate (14) and inequality .
Function in the second sum has the same estimate as . Therefore, the second sum also has an estimate similar to (17).
Now let us consider the third sum in (16). Since operator A is nonnegative, then for some . Further, if satisfies the condition of the theorem, then . Therefore, taking into account estimate (15) and the generalized Minkowski inequality, one has
Hence, summing up the estimates of all three terms in (16), we obtain .
Further, Equation (3) implies . Therefore, from the above reasoning, we finally have .
Thus, Theorem 1 is proved. □
4. Inverse Problem
First, we study some properties of the projection of the forward problem’s solution onto the first eigenfunction, i.e., (see (5)) as a function of . Let be a number, defined above.
Lemma 1.
Let conditions (7) be satisfied and . Then function is strictly monotonic in the variable and
Proof.
Since eigenfunctions are orthonormal, then from (6) by virtue of conditions (7), one may obtain
or, by definition of the Mittag-Leffler function,
Denote by the logarithmic derivative of the gamma function (see [34] for the definition of this function and its properties). We have and, then,
Let be the Euler–Mascheroni constant, then and for . Hence, if , then and . Therefore, if and , then is strictly monotonic in the variable .
Let now and prove that can be chosen in such a way that
In order to show this, we will rewrite the function , taking into account the equations
in the form
It is easy to see that
for all . Indeed, this inequality is equivalent to the following
that is . Therefore, if , or , then we obtain the required estimate.
Therefore, for the validity of estimate (19), it is sufficient to simultaneously fulfill two inequalities and (see (20)), or which is the same, one inequality .
Thus, if , then is strictly monotonic in the variable . The equalities (18) are easy to check. □
Now let us go to the proof of the Theorem 2.
Proof.
The fact that exists for any follows from Theorem 1. Let the given number be such that
Then it immediately follows from Lemma 1 that there exists a unique number satisfying the condition (5). Obviously, if the opposite inequalities hold, then such a number does not exist.
We turn to the proof of the uniqueness of the solution to the inverse problem (3)–(5). Let there be two pairs of solutions and such that and
where .
Consider the following functions
As we have seen above (see Lemma 1), it follows from these equations that . However, in this case, for all t and j. Hence
for all j. Finally, from the completeness of the set of eigenfunctions in H, we have . Hence, Theorem 2 is completely proved. □
5. Examples of Operator A
Consideration of the abstract operator A allows us to explore many different models. In this section, we provide several examples of operator A, to which our results apply.
First, we obtain an interesting example if we take a square matrix with constant elements as the operator A: and . In this case, the problem (3) and (4) becomes the Cauchy problem for a linear system of differential equations of fractional order.
As an example of operator A, one can also take any of the physical examples considered in Section 6 of the article by M. Ruzhansky et al. [33]. In particular, the authors considered differential models with involution, fractional Laplacian, and fractional Sturm–Liouville operators, anharmonic and harmonic oscillators, Landau Hamiltonians, and many other operators with a discrete spectrum. If the first eigenvalue of the operator A is not zero, then the operator with zero first eigenvalue should be considered as required in Theorem 2. Here, I is the identity operator.
The solution to the problem in this work, as well as in our work, is understood in a generalized sense (see Definition 1).
Now, let us show how similar results as in this paper can be obtained for classical solutions (see also [15]).
Let be an arbitrary non-negative formally self-adjoint elliptic differential operator of the order defined in N-dimensional bounded domain with boundary .
Assume that is an unknown parameter that needs to be determined and that the initial-boundary value problem has the form
where , and are given sufficiently smooth functions from .
In the paper by S. Agmon [35], it is considered the spectral problem
The author found sufficient conditions on the boundary of domain and operators and that guarantee the compactness of the corresponding inverse operator, i.e., the existence of a complete system of orthonormal eigenfunctions and a countable set of non-negative eigenvalues of the spectral problem (26).
As the next example, instead of A we take operator with boundary conditions and set . In this case, an additional condition (5) for determining will have the form:
where is defined as above. Let stand for the Fourier coefficient of a function by the system of eigenfunctions .
Definition 3.
A pair of the function and the parameter ρ with the properties
- 1.
- ,
- 2.
- ,
- 3.
Theorem 3.
The theorem is proved using similar arguments presented above (see, also [15]). In order to reduce the study of uniform convergence to the study of convergence in -norm, we apply Lemma 22.1 of the monograph [36] (p. 453).
Remark 2.
Let be an elliptic operator and be boundary operators. Then the first eigenfunction of the spectral problem (26) is a constant and .
6. Conclusions
The problem of determining the fractional order of a model has been considered by many authors because of its importance to the application. The authors mainly considered subdiffusion equations in which the Gerasimov–Caputo fractional derivative is involved.
As far as we know, the inverse problem of determining the order of the fractional derivative for the fractional wave equation was considered only in [1]. As a fractional derivative, the authors took the Gerasimov–Caputo derivative.
In the present work, by studying the abstract wave equation with the Riemann–Liouville derivative, the open problem formulated in the review article [1] for the considered inverse problems is positively solved. Since the problem is solved on the basis of the classical Fourier method, the explicit form of the elliptic part is not fundamental. Therefore, an arbitrary non-negative self-adjoint operator A in a separable Hilbert space H is taken as the elliptic part. If , where is an N-dimensional bounded domain with a smooth boundary, then as the operator A we can take the Laplacian with the Neumann condition. In this case, the first eigenvalue is equal to zero, as required in Theorem 2.
Author Contributions
Conceptualization, R.A.; methodology, S.S.; software, R.A.; validation, S.S.; formal analysis, S.S.; investigation, R.A.; resources, S.S.; data curation, S.S.; writing—original draft preparation, R.A.; writing—review and editing, S.S.; visualization, R.A.; supervision, R.A.; project administration, S.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The data presented in this study are available upon request from the corresponding author.
Acknowledgments
The authors thank Sh. A. Alimov for the discussions about the results.
Conflicts of Interest
The authors declare no conflict of interest.
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