Reconstruction and stable recovery of source terms and coefficients appearing in diffusion equations
Yavar Kian, Masahiro Yamamoto

TL;DR
This paper addresses the inverse problem of reconstructing source terms and coefficients in diffusion equations, demonstrating well-posedness and stability results for boundary-based recovery in cylindrical domains.
Contribution
It introduces methods for reconstructing space-independent source terms and coefficients in diffusion equations, proving well-posedness and Lipschitz stability from boundary data.
Findings
Source terms independent of one spatial variable can be reconstructed from boundary measurements.
The inverse problem is shown to be well-posed under certain conditions.
Lipschitz stability estimates are established for the recovery process.
Abstract
We consider the inverse source problem of determining a source term depending on both time and space variable for fractional and classical diffusion equations in a cylindrical domain from boundary measurements. With suitable boundary conditions we prove that some class of source terms which are independent of one space direction, can be reconstructed from boundary measurements. Actually, we prove that this inverse problem is well-posed. We establish also some results of Lipschitz stability for the recovery of source terms which we apply to the stable recostruction of time-dependent coefficients.
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Reconstruction and stable recovery of source terms and coefficients appearing in diffusion equations
Yavar Kian
Aix Marseille Univ, Université de Toulon, CNRS, CPT, Marseille, France
and
Masahiro Yamamoto
Graduate School of Mathematical Sciences, The University of Tokyo, 3-8-9 Komaba Meguro, Tokyo 153-8914, Japan
Honorary Member of Academy of Romanian Scientists, Splaiul Independentei Street, no 54, 050094 Bucharest Romania
Peoples’ Friendship University of Russia (RUDN University) 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
Abstract.
We consider the inverse source problem of determining a source term depending on both time and space variables for fractional and classical diffusion equations in a cylindrical domain from boundary measurements. With suitable boundary conditions we prove that some class of source terms which are independent of one space direction, can be reconstructed from boundary measurements. Actually, we prove that this inverse problem is well-posed. We establish also some results of Lipschitz stability for the recovery of source terms which we apply to the stable recovery of time-dependent coefficients.
Keywords: Inverse source problems, fractional diffusion equation, reconstruction, well-posedness, stability estimate.
Mathematics subject classification 2010 : 35R30, 35R11.
1. Introduction
1.1. Statement
Let , and , and be a bounded domain with boundary. We set and . Let be the outward unit normal vector to or at . In what follows, we define by the differential operator
[TABLE]
where , , satisfy
[TABLE]
[TABLE]
For , we denote by the Caputo fractional derivative with respect to given by
[TABLE]
and by the usual derivative in . We set
[TABLE]
, , and we consider the following problem
[TABLE]
We associate with this problem the following boundary conditions
[TABLE]
[TABLE]
with . In the same way, we consider the problem
[TABLE]
[TABLE]
[TABLE]
We refer to Section 1.5 and Proposition 1.3 for the definition of solutions of problem (1.2)-(1.6) (resp. (1.5)-(1.7)) as well as the existence and uniqueness of solutions. This verifies that an initial-boundary value problem (1.5)-(1.7) well defines a map from to the solution . In the present paper, we treat the inverse problem of determining the source term or the coefficient from measurements of the solution of (1.2)-(1.4) or (1.5)-(1.7) on a subboundary of the cylindrical domain or .
1.2. Obstruction against the uniqueness
We recall that there is an obstruction against the recovery of general source terms from any type of measurements of the solution of (1.2)-(1.4) (resp. (1.5)-(1.7)) on (resp. ). Indeed, choose and consider . From the uniqueness of the weak solution of problem (1.2)-(1.4) (see Section 1.4 for more details and see Definition 1.1 below for the definition of weak solutions), we knows that and, since , we deduce that . However, we have
[TABLE]
with the outward unit normal vector of .
Facing this obstruction against the uniqueness, we will consider source terms of the form
[TABLE]
and, assuming that is known, we will consider the problem of determining .
1.3. Motivations
We recall that the problem (1.2)-(1.4) (resp. (1.5)-(1.7)) is associated with different models of diffusion. The non-integer value of the power , is frequently used for describing anomalous diffusion derived from continuous-time random walk models (see e.g., [27]). In this context the recovery of the source term can be seen as the recovery of a time evolving source of diffusion. For instance, in the case and , our problem can be associated with the recovery of a source moving in the subset of the plan from a single measurement of the heat flux at the boundary. Such a problem can be associated with the determination of different properties of materials such as metal (see e.g., [22] for the heat equation). We refer to [11] for applications of recovery of source terms of the form (1.8) to the recovery of moving sources in the electrodynamics. For non-integer value of the power , in the spirit of [28] (see also [16]), our inverse problem can be seen as the recovery of a moving source of diffusion of a contaminant under the ground. As unknown sources, we assume the form of (1.8), which can be interpreted for example that an unknown source depends only on the depth variable and in the case of , which corresponds to a layer structure, and on the planar locations and but not on the depth in the case of , which may be a good approximation if is a very thin domain in the direction of .
1.4. Known results
Inverse source problems have received a lot of attention these last decades among the mathematical community (see [13] for an overview). For diffusion equations corresponding to the case with time independent source terms, several authors investigated the conditional stability (e.g. [5, 37, 38]). Following the Bukhgeim-Klibanov approach introduced in [3], [12] established Lipschitz stable recovery of the source from one Neumann boundary measurement. In [6], the authors derived a stability estimate for this problem from a single Neumann observation of the solution on an arbitrary portion of the boundary. For fractional diffusion equations corresponding to the case , [33, 34] proved the recovery of a time independent source term appearing in some class of one dimensional time-space fractional diffusion equations while [14] treated this problem in the multi-dimensional case () for time fractional diffusion equations. Despite the physical backgrounds related to various anomalous diffusion phenomena stated above, to our best knowledge, there is no result in the mathematical literature dealing with the recovery of source terms, depending on both time and space variables, of the form (1.8), for fractional diffusion equations. Despite the physical backgrounds related to various anomalous diffusion phenomena stated above, to our best knowledge, there is no result in the mathematical literature dealing with the recovery of source terms, depending on both time and space variables, of the form (1.8), for fractional diffusion equations. We mention also the work of [15, 16, 17, 19, 23, 31] where some inverse coefficient problems and some related results have been considered.
The above mentioned results are all concerned with the determination of time independent source terms . Several authors considered also the recovery of time-dependent source terms. In [7, 30] the authors proved the stable recovery of a source term depending only on the time variable from measurements of solutions at one spatial point over time interval. As long as the classical partial differential equations with natural number are concerned, some papers have also been devoted to the unique existence and the stability in finding source terms of the form (1.8) (see e.g. [2, 10, 13]). In particular, in [13, Section 6.3] the author proved the reconstruction and the unique recovery of source terms of the form (1.8) appearing in a parabolic equation on the half space.
Our main results stated below, seem to be the first achievements for the inverse source problem of determining in (1.8) for fractional partial differential equations.
1.5. Preliminary properties
In the present paper, following [20, 30], we consider solutions of problem (1.2)-(1.6) (resp. (1.5)-(1.7) with ) in the following weak sense.
Definition 1.1**.**
*Let (resp. ). We say that problem (1.2)-(1.4) resp. (1.5)-(1.7) with q=0$$) admits a weak solution if there exists such that:
-
and ,
-
for all the Laplace transform with respect to of , satisfies (1.3)-(1.4) (resp. (1.6)-(1.7)) and solves*
[TABLE]
where and is the characteristic function of .
By the results in [24, 30], we can prove that for problem (1.2)-(1.4) (resp. (1.5)-(1.7) with ) admits a unique solution satisfying . For sake of completeness we recall this result in the Appendix.
In (1.5), we assume that , , satisfy the following condition
[TABLE]
Then we consider the problem
[TABLE]
Here we consider weak solutions in the sense of Definition 1.1 and, following [20, 30], we can prove that there exists an operator valued function such that the solution of (1.10) takes the form
[TABLE]
Using this definition, for we can define the solution of (1.5)-(1.7) in the mild sense as a solution of the integral equation
[TABLE]
1.6. Main results
From now on, we assume that takes the form (1.8). For our first result we need an assumption on and that guarantees the elliptic regularity of the operator . Indeed, due to the fact that the domain is only Lipschitz, some extra assumptions will be required for guaranteeing the elliptic regularity of with the boundary conditions (1.3)-(1.4). For this purpose, for , we introduce the condition (H) (in (H), denote the numbers and ) corresponding to the requirement that for all satisfying and (1.3)-(1.4) with these values of , we have and there exists depending only on , , and such that
[TABLE]
Note that conditions (H00) and (H11) will be fulfilled if, for instance, we assume that is convex. Indeed, in that case will also be convex and, in virtue of [9, Theorem 3.2.1.2] and [9, Theorem 3.2.1.3], (H00) and (H11) will be fulfilled. In the same way, assuming that
[TABLE]
we deduce from a separation of variable argument similar to [8, Lemma 2.4] that, for all , (H) is fulfilled.
Using the conditions (H), we obtain the following.
Theorem 1.2**.**
Let (H00), (H10) be fulfilled and assume that and there exists a constant such that
[TABLE]
Assume also that the condition
[TABLE]
is fulfilled. Then, for , the solution of (1.2)-(1.4) with and satisfies , . Therefore, we can define
[TABLE]
Moreover, we can define an operator , such that solves the equation
[TABLE]
which is well-posed. Finally, for every satisfying (1.15) the solution of (1.2)-(1.4) satisfies (1.14). In the same way, assuming that (H01) and (H11) are fulfilled, the same results hold true for the problem (1.2)-(1.4) with and .
Remark 1**.**
Note that the data depends only on , and , . Indeed, thanks to the condition , the expression depends only on and , . Therefore, assuming that and are known, the result of Theorem 1.2 can be seen has a result of reconstruction of from the data , .
For problem (1.5)-(1.7), we consider first the following condition:
For all satisfying , , and (1.6)-(1.7), we have and there exists depending only on , and such that
[TABLE]
Assuming that is of class and using a separation of variable argument similar to [8, Lemma 2.4], one can check that (1.11) implies .
Using we obtain the following well-posedness result.
Proposition 1.3**.**
Assume that is fulfilled. Let be such that for , and for , . Fix such that and let satisfy . Let . Then problem (1.5)-(1.7) admits a unique weak solution .
Applying this well-posedness result, we can state our second main result as follows.
Theorem 1.4**.**
Assume that , (H00), (1.9) and (1.13) are fulfilled, , is and . Fix such that . Let , and satisfy and (1.12). Assume also that
[TABLE]
and let be the solution of (1.5)-(1.7). Then, for , there exists a constant depending on , , , , , , , such that
[TABLE]
Applying this result, we can also prove the stable recovery of the coefficient appearing in the problem
[TABLE]
with , , , such that there exists satisfying
[TABLE]
The result for the determination of can be stated as follows.
Corollary 1.5**.**
Let the condition of Theorem 1.4 be fulfilled with , and let , , be given by (1.18). Assume also that there exists such that the condition
[TABLE]
is fulfilled. Fix , , such that
[TABLE]
[TABLE]
and consider the solution of (1.17) with . Then, for , we have
[TABLE]
where the constant depends on , , , , , , , , , , , .
1.7. Comments about our results
To the best of our knowledge Theorem 1.2 and 1.4 are the first results of recovery of a source term depending on both time and space variables for fractional diffusion equations of the form (1.2) when . For , we refer to [13, Section 6.3] addressing this inverse problem with corresponding to the half space and see also [2]. In contrast to [13], we state our result on a bounded cylindrical domain and we restrict our analysis to solutions lying in Sobolev spaces while [13, Section 6.3] is stated with Hölder continuous functions. Moreover our approach admits a natural extension to fractional diffusion equations ().
Let us remark that Theorem 1.2 gives a reconstruction algorithm for the recovery of the source term under consideration. It is actually stated as a well-posedness result for the pair of functions appearing in (1.2) and (1.8). In contrast to Theorem 1.2, Theorem 1.4 provides only a stability estimate. However, Theorem 1.4 can be applied to more general boundary conditions and it can also be applied to the stable recovery of a coefficient depending on both time and space variables (see Corollary 1.5).
Applying Theorem 1.4, we prove in Corollary 1.5 the stable recovery of the coefficient of order zero provided . It seems that this result is the first result of stable recovery of a coefficient depending on both time and space variables for a fractional diffusion equation. In [8, Theorem 3.6], the authors derived a similar result for the heat equation () stated with stronger regularity conditions and measurements on both and , with and . Even, for , our result improves the one of [8, Theorem 3.6] in terms of regularity conditions and restriction of the data.
Theorem 1.4 is stated only for but it can be extended to without any difficulty. Indeed, one can easily extend our argumentation to the case . In Theorem 1.4 we have restricted our analysis to in order to simplify the statement of this theorem and its proof.
The proof of Proposition 1.3 is based on properties of solutions of fraction diffusion and properties of Mittag-Leffler functions considered in several works like [7, 20, 26, 30].
1.8. Outline
This paper is organized as follows. In Section 2 we prove Theorem 1.2. Section 3 is devoted to the proof of Theorem 1.4 and in Section 4 we consider the application of Theorem 1.4 stated in Corollary 1.5. Finally, in the Appendix we recall and prove some results related to properties of solutions of fractional diffusion equations.
2. Proof of Theorem 1.2
We start with the first part of Theorem 1.2. For this purpose, we assume that (H00), (H10), (1.12)-(1.13) are fulfilled and we will show (1.15). We denote by (resp. ) the operator acting on with domain
[TABLE]
[TABLE]
Thanks to (1.1) we know that (resp. ) are selfadjoint operators with a spectrum consisting of a non-decreasing sequence of non-negative eigenvalues (resp. ). Moreover, conditions (H00) and (H10) imply that and embedded continuously into . Let us also introduce an orthonormal basis in the Hilbert space of eigenfunctions (resp. ) of (resp. ) associated to the non-decreasing sequence of eigenvalues (resp. ). We consider also the operator valued function (resp. ) defined by
[TABLE]
[TABLE]
where corresponds to the Mittag-Leffler function given by
[TABLE]
Following [20, 30] (see also Lemma 3.2), one can check that problem (1.2) admits a unique weak solution taking the form
[TABLE]
Recall that the function given by Definition 1.1 takes the form
[TABLE]
Moreover, using the fact that embedded continuously into , we deduce by interpolation that for , embedded continuously into . Therefore, applying Lemma 3.1 (see the Appendix), one can check that . Fixing we deduce that, for all , the Laplace transform in time of the extension of to given by , with defined in Definition 1.1, is lying in and it satisfies
[TABLE]
Note that here we use the fact that , with , for defining its trace on . Moreover, applying Lemma 3.1 (see the Appendix) and the fact that , we can extend , , to a bounded operator from to satisfying
[TABLE]
In addition, using the fact that , we deduce that . Thus, extending by zero to and using the fact that
[TABLE]
we deduce that the function
[TABLE]
is well defined and the Laplace transform in time of coincide with the one of †† With the additional assumptions (H10), (H11) and the fact that is one can extend these arguments to problem (1.2)-(1.4), with , by using the fact that, for any , is dense in .. This proves that
[TABLE]
In view of (1.13), for , we have
[TABLE]
where
[TABLE]
[TABLE]
Then, from (2.1) and the above arguments, we deduce that solves the integral equation
[TABLE]
Now let us consider the following.
Lemma 2.1**.**
The integral equation (2.5) admits a unique solution satisfying
[TABLE]
with depending on , , . Moreover, we have .
Proof.
We introduce the maps , defined by
[TABLE]
[TABLE]
and . Applying Lemma 3.1 (see the Appendix) and the fact that both and embedded continuously into , we find
[TABLE]
[TABLE]
Following the proof of [7, Proposition 1], for , we find by iteration
[TABLE]
[TABLE]
It follows that for sufficiently large we have
[TABLE]
and an application of the Young inequality for convolution product implies that
[TABLE]
Then, using the fact that
[TABLE]
we deduce that there exists such that is a contraction. Moreover, conditions (2.9)-(2.10) imply
[TABLE]
Therefore, by eventually increasing the size of , we deduce that admits a unique fixed point which by uniqueness of this fixed point is also a fixed point of . Moreover, in view of (2.9)-(2.10), for satisfying and for a.e , we have
[TABLE]
Therefore, applying Gronwall inequality for function lying in (see e.g [1, Lemma 6.3]), we find
[TABLE]
which clearly implies (2.6). Finally, using the fact that
[TABLE]
we deduce from Lemma 3.2 and assumption (H00), that takes values in and therefore . In the same way, we prove that .∎
According to Lemma 2.1, we have , and , . Combining this with (2.2), we deduce that
[TABLE]
[TABLE]
Then, (1.2) implies
[TABLE]
with given by (1.14). Fixing and , we obtain
[TABLE]
Moreover, applying (2.2), (2.5) and using the fact that , we get
[TABLE]
which combined with (H00) implies
[TABLE]
In view of (H00) by interpolation embedded continuously into . Moreover, in view of Lemma 3.1 (see the Appendix), we have
[TABLE]
On the other hand, applying Young inequality for convolution product, we obtain
[TABLE]
Thus, by Fubini theorem for a.e. , we have
[TABLE]
In the same way, for a.e. , we get
[TABLE]
Therefore, from (2.13), for a.e. , we find
[TABLE]
This proves (1.15), let us prove that this problem is well-posed. We fix the maps , , with
[TABLE]
and
[TABLE]
Note that
[TABLE]
On the other hand, in view of (2.2), fixing the solution of (2.5) with we obtain
[TABLE]
where and are defined in formula (2.3)-(2.4). Thus, applying Lemma 2.1 and Lemma 3.1 (see the Appendix), we obtain
[TABLE]
Combining this with (2.15), we get
[TABLE]
By iteration, for all , we deduce that
[TABLE]
and in a similar way to Lemma 2.1, we deduce that there exists such that is a contraction and admits a unique fixed point satisfying
[TABLE]
Therefore, in view of Lemma 3.3 (see the Appendix), we have
[TABLE]
and an application of the Young inequality yields
[TABLE]
This proves the well-posedness of (1.15) and the reconstruction of from the data . Now let us consider the proof of the last part of Theorem 1.2. For this purpose, we fix satisfying (1.15) with and we consider solving (1.2). Following the above argumentation, we can define given by (1.14) and solves (1.15). This implies that . Therefore, we have and the proof of Theorem 1.2 for (1.2)-(1.4), with and , is completed. Using similar arguments, one can check that this result is still true for the problem (1.2)-(1.4), with and .
3. Proof of Theorem 1.4
This section is devoted to the proof of Theorem 1.4. In contrast to the preceding section, for solving (1.5)-(1.7), will not be a solution of an initial boundary value problem with homogeneous boundary condition. However, with suitable regularity conditions on we can consider the trace of at . We will start by proving Proposition 1.3
Proof of Proposition 1.3. We consider first the case . Let be the operator acting on with domain
[TABLE]
The spectrum of consists of a non-decreasing sequence of strictly positive eigenvalues . Let us also introduce an orthonormal basis in the Hilbert space of eigenfunctions of associated with the non-decreasing sequence of eigenvalues . Then, for , the solution of (1.5)-(1.7) is given by
[TABLE]
where . Since , , applying Lemma 3.4 (see the Appendix) and integrating by parts we find
[TABLE]
Thus, we have where
[TABLE]
Note that, for all , solves the boundary value problem
[TABLE]
Therefore, applying assumption and the fact that , we deduce that . Thus, in order to complete the proof, we only need to check that . For this purpose, using the fact that and , with , one can check that , . Moreover, fixing , with , and applying Lemma 3.1 (see the Appendix), we find
[TABLE]
On the other hand, since , we have and we deduce
[TABLE]
Therefore, applying the Hölder inequality, we obtain
[TABLE]
Combining this with the fact that , we deduce that
[TABLE]
Thus, the sequence
[TABLE]
is a Cauchy sequence and therefore a convergent sequence of . Since this sequence converges to in the sense of , we deduce that and, in view of , we deduce that . Now let us prove that . Note first that with
[TABLE]
Here we have used the fact that . Repeating the above arguments and using the fact that with , we deduce that . Therefore, we have .
Now let us consider the case . We introduce the map
[TABLE]
defined on with given by
[TABLE]
Then, using a classical fixed point argument combined with the preceding analysis, we deduce that admits a unique fixed point lying in which will be the solution of (1.5)-(1.7). This completes the proof of the lemma.∎
From now on and in all the remaining part of this section, we assume that and that the conditions of Proposition 1.3 are fulfilled. We consider defined on by
[TABLE]
Then, it is clear that and . Moreover, we have
[TABLE]
Therefore, we deduce that and, thanks to (1.9), solves
[TABLE]
where is the extension of to given by
[TABLE]
Fixing and using the fact that , we deduce that solves the problem
[TABLE]
with
[TABLE]
Note that here since , we have . We are now in position to prove Theorem 1.4.
Proof of Theorem 1.4. In all this proof denotes a generic constant depending on , , , , , , . According to Lemma 1.3 the solution of (1.5)-(1.7) is lying in and , with the even extension of to , which solves (3.1). Note first that projecting the equation (1.5) in and using the fact that, for all , we have , we deduce that
[TABLE]
Combining this with (1.12) and the fact that , for all , we deduce that
[TABLE]
Thus, the proof of (1.16) will be completed if we can derive a suitable estimate of . For this purpose, we decompose into , where solves
[TABLE]
and solves
[TABLE]
Since , we have
[TABLE]
and . therefore, using a classical lifting argument (e.g. [24, Theorem 8.3, Chapter 1]), we can find such that
[TABLE]
[TABLE]
[TABLE]
Therefore, we can decompose into with solving
[TABLE]
where . Thus, we have
[TABLE]
where corresponds to the operator valued function defined in the proof of Theorem 1.2. Therefore, applying (H00) and Lemma 3.1 (see the Appendix), we deduce that with
[TABLE]
It follows that
[TABLE]
and combining this with (3.5), we get
[TABLE]
Moreover, the estimate
[TABLE]
implies
[TABLE]
On the other hand, we have
[TABLE]
Thus, applying (H00) and repeating the arguments of Lemma 1.3, we get
[TABLE]
which, for all , implies that
[TABLE]
In light of (1.13), we get
[TABLE]
and it follows that
[TABLE]
In view of the equation satisfied by and according to the above arguments as well as the arguments used in Proposition 1.3, for all , we get
[TABLE]
Thus, we find
[TABLE]
and it follows that
[TABLE]
Combining this with (3.2) and (3.7), we find
[TABLE]
which clearly implies
[TABLE]
Then, Lemma 3.3 (see the Appendix) implies that
[TABLE]
from which we deduce (1.16).∎
3.1. Application to the recovery of coefficients
Consider the solution of the problem
[TABLE]
with , , , given by (1.18). Then, we can write where solves
[TABLE]
where . Therefore, using the fact that, thanks to (1.18), we have
[TABLE]
and repeating the arguments of the preceding section, we can prove that and for , the Sobolev embedding theorem implies that . Applying the previous results about recovery of source terms we can complete the proof of Corollary 1.5.
Proof of Corollary 1.5. Let and notice that solves (1.2) with , and . Then, using the fact that and the fact that, thanks to (1.12), (1.19), we are in position to apply Theorem 1.4 from which we deduce (1.19).∎
Appendix
In this appendix we recall several classical result about fractional diffusion equation and properties of Mittag-Leffler function.
We start by recalling a property of Mittag-Leffler function which follows from formula (1.148) of [29, Theorem 1.6], one can check the following properties of the Mittag-Leffler function.
Lemma 3.1**.**
Let , and . Then, we have
[TABLE]
with independent of and .
Now let us consider the following result which can be deduced from other known results (see e.g [30, Theorem 2.2] and [23, Theorem 1.3]) considered for that we extend to .
Lemma 3.2**.**
Let , and . Then problem (1.2)-(1.4) admits a unique solution , satisfying , and the following estimate holds true
[TABLE]
Proof.
We prove this result for sake of completeness. We fix the operator acting on with the boundary condition (1.3)-(1.4). We fix also the non-decreasing sequence of non-negative eigenvalues and associated eigenfunctions of . Then, we consider
[TABLE]
Since solves (1.2)-(1.4), we have
[TABLE]
where . Therefore, we have
[TABLE]
with . Then, we find
[TABLE]
and an application of the Young inequality yields
[TABLE]
On the other hand, we have
[TABLE]
Combining this with Lemma 3.1 (see the Appendix), we get
[TABLE]
It follows that
[TABLE]
and we get
[TABLE]
In the same way, we find
[TABLE]
which implies at the same time that and (3.8). This proves (3.8).∎
Let us also consider the following Gronwall type of inequality which can be find in [7, Lemma 3] (see also [35, Theorem 1]).
Lemma 3.3**.**
Let and be nonnegative functions satisfying
[TABLE]
Then there exists such that
[TABLE]
Finally let us recall, a result borrowed from [30, Lemma 3.2].
Lemma 3.4**.**
Let , and be a positive integer. Then we have
[TABLE]
and
[TABLE]
Acknowledgments
The work of the first author is partially supported by the French National Research Agency ANR (project MultiOnde) grant ANR-17-CE40-0029. The second author is supported by Grant-in-Aid for Scientific Research (S) 15H05740 of Japan Society for the Promotion of Science and by The National Natural Science Foundation of China (no. 11771270, 91730303), and the "RUDN University Program 5-100".
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