1. Introduction
Let H be a separable Hilbert space with the scalar product and the norm and be an arbitrary unbounded positive selfadjoint operator in H. Suppose that A has a complete in H system of orthonormal eigenfunctions and a countable set of positive eigenvalues . It is convenient to assume that the eigenvalues do not decrease as their number increases, i.e., .
Using the definitions of a strong integral and a strong derivative, fractional analogues of integrals and derivatives can be determined for vector-valued functions (or simply functions)
, while the well-known formulae and properties are preserved (see, e.g., [
1]). Recall that the fractional integration of order
of the function
defined on
has the form
provided the right-hand side exists. Here
is Euler’s gamma function. Using this definition one can define the Riemann–Liouville fractional derivative of order
,
, as
If in this definition we interchange differentiation and fractional integration, then we obtain the definition of the regularized derivative, that is, the definition of the fractional derivative in the sense of Caputo:
Note that if , then fractional derivatives coincides with the ordinary classical derivative of the first order: .
Let be a fixed number and let stand for a set of continuous functions of with values in H.
The subject of this work is the following two nonlocal boundary value problems:
and
where
,
and
is a constant,
-fixed point. These problems are also called
the forward problems.
Definition 1. A function with the properties and satisfying conditions (2) is calledthe solutionof the nonlocal problem (2). The definition of the solution to the nonlocal problem (
3) is introduced in a similar way.
If
(and
), then these problems are called
the backward problems. The backward problems in case (
2) were studied in detail, for example, in [
2,
3,
4]. The work [
5] is devoted to the study of the backward problem in case (
3). Therefore, in what follows we only consider the case
The backward problems for the diffusion process are of great importance in engineering fields and are aimed at determining the previous state of a physical field (for example, at
) based on its current information (see, e.g., [
3] and for the classical head equation see [
6]). However, regardless of the fact that the Riemann–Liouville or the Caputo derivative is taken into the equation, this problem is ill-possed in the sense of Hadamard. In other words, a small change of
in the norm of space
H leads to large changes in the initial data. As can be seen from the main results of papers [
2,
3,
4,
5] (note, in these works
), the situation changes if we take the sufficiently smooth function
. Since the problem is ill-posed, many authors have considered various regularization options for finding the initial condition (see, for one-dimensional elliptical part, Liu and Yamamoto [
2], for the nonlinear case, Tuan, Huynh, Ngoc, and Zhou [
7]). In particular, as for numerical approaches, see Tuan, Long and Tatar [
8], Wang and Liu [
9] and the references therein.
In the case
these problems are also called (see, e.g., [
6], p. 214) the inverse heat conduction problem with inverse time (
retrospective inverse problem). It should also be noted that, in this case, even the smoothness of the function
does not guarantee the stability of the solution (see, e.g., Chapter 8.2 of [
6]).
As we know, in most models described by differential (and pseudodifferential, see e.g., [
10]) equations the initial condition is used. However, in practice, some other models have to use nonlocal conditions, for example, including integrals over time intervals (see, e.g., [
11] for reaction-diffusion equations or [
12] for fractional equations), or connecting the solution at different times, for instance at the initial time and at the terminal time (see, e.g., [
13,
14]). Note, nonlocal conditions express and explain some full details about natural events because they consider additional information in the initial conditions.
The following nonlocal boundary value problem for the classical diffusion equation
in an arbitrary Banach space
E with the strongly positive operator
A, has been extensively studied by numerous researchers (see, e.g., A. O. Ashyralyev et al. [
13,
14]). As shown in these papers, in contrast to the retrospective inverse problem, the problem (
5) is coercively solvable in some spaces of differentiable functions. It should also be noted that various nonlocal boundary value problems for parabolic equations reduce to the boundary value problem (
5) (see, e.g., [
15], Chapter 1).
In the present paper we prove the existence and uniqueness theorems for solutions of problems (
2) and (
3). Next, we will study the dependence of the existence of a solution on the value of the parameter
. We will also prove, in contrast to the backward problems, that the solutions of problems (
2) and (
3) continuously depend on the right-hand side of the equation and on the function
. Inequalities of coercivity type are obtained and it is shown that these inequalities differ depending on the considered type of fractional derivatives. The inverse problems of determining the right-hand side of the equation and function
in the boundary conditions are investigated.
The inverse problem of determining the source function
f with the final time observation has been well studied and much theoretical research has been published for classical partial differential equations. As a monograph, we should refer to Kabanikhin [
6] and Prilepko, Orlovsky, and Vasin [
16]. As for the fractional differential equations, one can construct theories parallel to [
6,
16], and the works are now made continuously. We give a brief overview of work on this inverse problem at the beginning of
Section 4.
The inverse problem of defining the function
arises from real-life processes. For example, when the initial temperature and final temperature for the heat equation are not indicated immediately, and it is not required to find, but information about the difference between the initial and final temperatures is sought. To the best of our knowledge, such an inverse problem was discussed only in the paper [
17]. The authors considered this problem for the subdiffusion equation including the Caputo fractional derivative, the elliptical part of which is a two-variable differential expression with constant coefficients.
The remainder of this paper is composed of four sections and the Conclusion. In the next section, we introduce the Hilbert space associated with the degree of operator A and recall some properties of the Mittag–Leffler functions.
Section 3 is devoted to the study of the nonlocal problem (
2). Here, we first investigate problem (
2) for the homogeneous equation, and then move on to the main problem. In
Section 4, we study the inverse problem of determining the right-hand side of Equation (
2). In this case, we assume that the unknown function
f does not depend on
t. The next section is devoted to the study of the inverse problem for the determination of the boundary function
. Since problems (
2) and (
3) are studied in a similar way, in
Section 6 we present only the main points of the proof of the theorem on the existence and uniqueness of the solution to problem (
3). Inverse problems for Equation (
3) are considered in the same way as inverse problems for Equation (
2). Therefore, we omit these details.
2. Preliminaries
In this section, we introduce the Hilbert space of “smooth” functions related to the degree of operator A and recall some properties of the Mittag–Leffler functions, which we will use in what follows.
Let
be an arbitrary real number. We introduce the power of operator
A, acting in
H according to the rule
where
are the Fourier coefficients of a function
:
. Obviously, the domain of this operator has the form
For elements of
we introduce the norm
and together with this norm
turns into a Hilbert space.
For
and an arbitrary complex number
, by
we denote the Mittag–Leffler function with two parameters (see, e.g., [
18], p. 12):
If the parameter , then we have the classical Mittag–Leffler function: .
In what follows we need the asymptotic estimate of the Mittag–Leffler function with a sufficiently large negative argument. The well known estimate has the form (see, e.g., [
19], p. 136)
where
is an arbitrary complex number. This estimate essentially follows from the following asymptotic estimate (see, e.g., [
19], p. 134):
For the Mittag–Leffler function with two parameters
one can obtain a better estimate than (
7). Indeed, using the asymptotic estimate (see, e.g., [
19], p. 134)
and the fact that
is real analytic, we can obtain the following inequality [
5]
We will also use a coarser estimate with positive number
and
:
which is easy to verify. Indeed, let
, then
and
If
, then
and
Proof. For
this is obvious; estimates (
12) follow from definition (
6).
For
we use the integral representation (see, e.g., [
20], p. 54)
□
Using Proposition 1, by virtue of estimates (
12) and equality
, we arrive at (see [
20], p. 47).
Proposition 2. The Mittag–Leffler function of the negative argument is monotonically decreasing function for all and Proposition 3. Let and . Then for all positive one has [3] Proof. First, we calculate the derivative of the Mittag–Leffler function
(since
)
Note that here the series is termwise differentiable in .
Now, by virtue of the equality
we obtain the required result. □
Proposition 4. Let and . Theni.e., strictly increases as a function of . Proof. Using (
6) and term-by-term integration we arrive at (see [
20], formula (4.4.4))
or by Proposition 3,
It remains to apply Proposition 1. □
Proposition 5. Let and . Then for all positive t one has Proof. By the definition of fractional integration (
1) we have
On the other hand, using the properties of Euler’s beta function
, we obtain
By virtue of the definition of the Mittag–Leffler function this implies the statement of the proposition. □
3. Well-Posedness of Problem (2)
To solve problem (
2), we divide it into two auxiliary problems:
and
where
is a given function.
Problem (
16) is a special case of problem (
2), and the solution to problem (
15) is defined similarly to Definition 1.
If
and
and
are the corresponding solutions, then it is easy to verify that function
is a solution to problem (
2). Therefore, it is sufficient to solve the auxiliary problems.
For problem (
15) we have the following statement.
Theorem 1. Let for some . Then problem (15) has a unique solution and this solution has the representation Moreover, there is a constant such that the following coercive type inequality holds: Proof of Theorem 1.
It is not hard to verify that the series (
17) is a formal solution to problem (
15) (see, e.g., [
20], p. 173, [
21]). In order to prove that function (
17) is actually a solution to the problem, it remains to substantiate this formal statement, i.e., to show that the operators
A and
can be applied term-by-term to series (
17).
Let
be the partial sum of series (
17). Then
Due to the Parseval equality we may write
Then, by inequality (
11) for
one has
or, by virtue of the generalized Minkowski inequality,
Hence, we obtain and in particular .
Furthermore, from Equation (
2) one has
,
. Therefore, from the above reasoning, we have
and
Thus, we have completed the rationale that (
17) is a solution to problem (
15). The last two inequalities imply estimate (
18).
The uniqueness of the solution can be proved by the standard technique based on completeness of the set of eigenfunctions
in
H (see, e.g., [
5]).
Theorem 1 is completely proved. □
If f does not depend on t, then the statement of Theorem 1 is true for all .
Corollary 1. Let . Then problem (15) has a unique solution and this solution has the representation Moreover, there is a positive constant C such that the following coercive type inequality holds: Proof. Since
f does not depend on
t, then we have the following form for the Fourier coefficients of
(see (
17))
Application of Formula (
14) to the integral shows that the formal solution to problem (
15) has the form (
20).
Let
be the partial sum of series (
20). Then by virtue of estimate (
7), we obtain
Now, using this estimate and repeating the arguments similar to the proof of Theorem 1, it is easy to check that (
20) is indeed a solution to problem (
15) and estimate (
21) holds true. □
We now turn to problem (
16). In accordance with the Fourier method, we will look for a solution to problem (
16) in the form of a series:
where
,
, are solutions of the nonlocal problems:
where
are the Fourier coefficients of function
.
Let us denote
. Then the unique solution to the differential Equation (
23) with this initial condition has the form
(see, e.g., [
20], p. 174). From the nonlocal conditions of (
23) we obtain the following equation to find the unknown numbers
:
By virtue of property (
13) of the Mittag–Leffler function,
for all
and
(note,
and
). Therefore, from (
24) we have
here and below, by
we will denote a constant depending on
, not necessarily the same one.
If
, then
, but the Mittag–Leffler function can asymptotically tend towards zero (see (
8)). Therefore, in this case one has:
This case, as noted above (see (
4)), has been studied in detail in [
2,
3,
4].
Let
. Then according to Proposition 2, there is a unique
such that
. If
for all
, then the estimate in (
25) holds with some constant
.
Thus, if
or
, but
for all
, then the formal solution of problem (
16) has the form
Finally, let
and
for
, where
is the multiplicity of the eigenvalue
. Then the nonlocal problem (
23) has a solution if the boundary function
satisfies the following orthogonality conditions
and for these
arbitrary numbers
are solutions of Equation (
24). For all other
k we have
Thus, the formal solution of problem (
16) in this case has the form
Throughout what follows we will assume that whenever
and
, then orthogonality condition (
27) is satisfied.
Let us show that the operators
A and
can be applied term-by-term to series (
26); for series (
29) this question is considered in a completely similar way.
Let
be the partial sum of series (
26). Then
Due to the Parseval equality, we may write
Using estimates (
7), (
25) and (
28) we obtain
Therefore if
, then
. From Equation (
16) one has
,
, and the above estimates imply
which means
.
For
, taking into account estimate (
7), we obtain
Hence
, which was required by the definition of the solution to problem (
16).
Let us investigate the uniqueness of the solution to problem (
16). Suppose we have two solutions:
,
and set
. Then, we have
Let
. Since the operator
A is self-adjoint, one has
and the nonlocal condition implies
Let us denote
. Then the unique solution to the differential Equation (
35) with this initial condition has the form
(see, e.g., [
20], p. 174). From the nonlocal conditions of (
36) we obtain the following equation to find the unknown numbers
:
Let first
or
, but
for all
. Then
for all
k. Consequently, in this case all
are equal to zero (therefore
), and by virtue of completeness of the set of eigenfunctions
, we conclude that
. Thus, problem (
16) in this case has a unique solution.
Now suppose that
and
,
. Then
,
and therefore Equation (
37) has the following solution:
if
and
is an arbitrary number for
. Thus, in this case, there is no uniqueness of the solution to problem (
16).
Thus, we obtain the following statement:
Theorem 2. Let .
If or , but for all , then problem (16) has a unique solution and this solution has the form (26). If and , , then we assume that the orthogonality conditions (27) are satisfied. The solution of problem (16) has the form (29) with arbitrary coefficients , . Moreover, there is a constant such that the following coercive type inequality holds: Note that the proof of the coercive type inequality (
38) follows from the estimates (
31) and (
32).
Now let us move on to solving the main problem (
2). Let
and
for some
. As noted above, if we put
and
and
are the corresponding solutions of problems (
15) and (
16), then function
is a solution to problem (
2). Therefore, if
or
, but
for all
, then
where
The uniqueness of the function follows from the uniqueness of the solutions and .
If
and
,
, then
The corresponding orthogonality conditions have the form
In particular, if
then the orthogonality conditions (
41) are satisfied.
Thus we have proved the main result of this section:
Theorem 3. Let and for some .
If or , but for all , then problem (2) has a unique solution and this solution has the form (39). If and , , then we assume that the orthogonality conditions (42) are satisfied. The solution of problem (16) has the form (40) with arbitrary coefficients , . Moreover, there are constants and such that the following coercive type inequality holds: The results of Theorems 2 and 3 are based on the assumption of orthogonality conditions (
27) and (
42) correspondingly. The question naturally arise, to what extent do these assumtions limit? In order to answer this question, consider the following example.
Let
be a bounded domain with sufficiently smooth boundary
and denote by
the operator in
with domain of definition
and acting as
, where
▵ is the Laplace operator. Then (see, e.g., [
22])
has a complete in
system of orthonormal eigenfunctions
and a countable set of nonnegative eigenvalues
(
), and
.
Let
A stand for the operator, acting as
with the domain of definition
. Then it is not hard to verify, that
A is a positive self-adjoint extension in
of operator
. Therefore, one can apply Theorems 2 and 3 to operator
A and consequently to the problem:
Suppose
and
are such that
Then problem (
44) has the unique solution for any function
, which satisfies the orthogonality condition
or in other words, for any function
with
4. Inverse Problem of Determining the Heat Source Density
The inverse problems of determining the right-hand side (the heat source density) of various subdiffusion equations have been considered by a number of authors (see, e.g., survey papers [
23] and the bibliography therein). However, there is no general closed theory for the abstract case of the source function
. Known results deal with the separated source term
. The appropriate choice of the overdetermination depends on the choice whether the unknown is
or
.
The most difficult to study is the case when the function
is unknown (see the survey work [
3,
23] for the case of subdiffusion equations, and, for example, monographs [
6,
16,
24,
25,
26] for the classical heat equation). In inverse problems of this type, the condition
is taken as an additional one, and the operator
A does not depend on
t. In all the above-mentioned works on the subdiffusion equations, only the uniqueness of the solution to the inverse problem was proved.
Uniqueness questions in the inverse problem of finding the function
in fractional diffusion equations
has been studied in, e.g., [
27,
28]. Paper [
27] shows the uniqueness result for
if
in a case of a self-adjoint operator
A with time-independent coefficients. Article [
28], Example 3.1, shows the non-uniqueness result if h(t) changes its sign. The time- dependent operator
has been considered in [
28], Theorem 3.1, where uniqueness was established under some monotonic in time assumptions on
and
. In paper [
29], the author studies a general multi-dimensional case for a linear time-fractional partial differential equations with time-dependent coeffitients. The author uses separation of variable technique combined with the maximum principle to derive the uniqueness result assuming
and
. In this result, we do not need any monotonic premises on
and/or the coefficients of
, which is the new aspect (and highlight) in this area of inverse problems.
Many authors have considered an Equation (
45) in which
and
is unknown (see, e.g., [
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48]). Let us mention only some of these works. The case of subdiffusion equations, the elliptic part of
A of which is an ordinary differential expression, is considered in [
30,
31,
32,
33,
34,
35,
36]. The authors of the articles [
37,
38,
39,
40,
41] studied subdiffusion equations in which the elliptic part of
A is either a Laplace operator or a second-order operator. The paper [
42] studied the inverse problem for the subdiffusion Equation (
2) with the Cauchy condition. In this article [
42] and most other articles, including [
37,
38,
39,
40], the Caputo derivative is used as a fractional derivative. The recent articles [
43,
44] are devoted to the inverse problem for the subdiffusion equation with Riemann–Liouville derivatives. In [
31,
41], the fractional derivative in the subdiffusion equation is a two-parameter generalized Hilfer fractional derivative; this type of fractional derivative contains a parameter belonging to the interval [0, 1], and its extreme values correspond to the Caputo and Riemann–Liouville derivatives. Various models of applied problems leading to Hilfer fractional derivatives are investigated in [
49]. Note also that the papers [
31,
37,
40] contain a survey of papers dealing with inverse problems of determining the right-hand side of the subdiffusion equation.
In [
41,
46,
47], non-self-adjoint differential operators (with nonlocal boundary conditions) were taken as A, and solutions to the inverse problem were found in the form of biortagonal series.
In their previous work [
48], the authors of this article considered an inverse problem for simultaneously determining the order of the Riemann–Liouville fractional derivative and the source function in the subdiffusion equations. Using the classical Fourier method, the authors proved the uniqueness and existence of a solution to this inverse problem.
It should be noted that in all of the listed works, the Cauchy conditions in time are considered (an exception is work [
45], where the integral condition is set with respect to the variable
t). In the present paper, for the best of our knowledge, an inverse problem for subdiffusion equation with a nonlocal condition in time (see (
46)) is considered for the first time.
The papers [
50,
51] deal with the inverse problem of determining the order of the fractional derivative in the subdiffusion equation and in the wave equation, respectively.
Let us consider
the inverse problem
with the additional condition
in which the unknown element
, characterizing the action of heat sources, does not depend on
t and
are given elements,
is an arbitrary given constant.
Note that if
, then the nonlocal condition in (
46) coincides with the Cauchy condition
(see (
4)). In this case, this inverse problem was studied in [
42].
Definition 2. A pair of functions and with the properties and satisfying conditions (46), (47) is calledthe solutionof the inverse problem (46), (47). In what follows we shall deal only with the case , since in this case the uniqueness of the solution is relatively easy to prove.
Theorem 4. Let and . Then the inverse problem (46), (47) has a unique solution and this solution has the following form Proof of Theorem 4. Existence. If
f is known, then the unique solution of problem (
46) has the form (
39), and since
f does not depend on
t, then, thanks to formulas (
22) and (
14), it is easy to verify that the formal solution of problem (
46) has the form (
49).
By virtue of additional condition (
47) and completeness of the system
we obtain:
After simple calculations, we obtain
With these Fourier coefficients we have the above formal series (
48) for the unknown function
f:
.
Let us show the convergence of series (
48). If
are the partial sums of series (
48), then by virtue of the Parseval equality we may write
Since
, then
. Therefore,
Using the asymptotic estimate (see (
8))
we obtain
Since
and
, then
. Therefore,
Thus, if
, then from estimates of
and (
51) we obtain
.
After finding the unknown function
, the fulfilment of the conditions of Definition 2 for function
, defined by series (
49) is proved in exactly the same way as with Corollary 1 and Theorem 2.
Uniqueness. Suppose we have two solutions:
and
. It is required to prove
and
. Since the problem is linear, to determine
and
f we have the problem:
where
—fixed point.
Let
be a solution to this problem and
. Then, by virtue of Equation (
53) and the self-adjointness of operator
A,
Thus, taking into account (
54) and (
55), we have the following problem
Suppose that
is known and use the nonlocal condition to obtain (see, e.g., [
20], p. 174)
Now apply
to obtain
Note, that if and then, , and . Therefore, for all k one has . Hence, from the completeness of the system of eigenfunctions , we finally obtain and , as required. The uniqueness is proved. □
In Theorem 3, condition
for all
k, ensured the uniqueness of the solution and no orthogonality conditions were required for its existence. In this inverse problem, the same condition does not guarantee the uniqueness of the solution. The reason is that at
the bracket in (
57) can vanish for some
, and these numbers
depend on
and the location of points
and
. For the existence of an unknown function
f in this case, it is necessary to require the orthogonality conditions
and
. Finding out the dependence of
on these parameters is the subject of a separate paper. This is the reason why only case
is considered in Theorem 4.
On the other hand, in the next two theorems the condition for all k ensures the unique solvability of the problems under study. If for some k, then, just as above (see the proof of Theorem 3), there is no uniqueness, and to ensure the existence of the solution, it is necessary to require the fulfillment of certain orthogonality conditions.