Determination of singular time-dependent coefficients for wave equations from full and partial data
Guanghui Hu, Yavar Kian

TL;DR
This paper proves the unique determination of unbounded, time-dependent singular coefficients in wave equations from boundary data, advancing inverse problem theory for nonlinear wave equations.
Contribution
It is the first to establish unique recovery of unbounded, singular, time-dependent coefficients in wave equations from boundary observations.
Findings
Unique determination of unbounded coefficients from boundary data
Reduction of data requirements for coefficient recovery
First result on unbounded time-dependent coefficients in wave equations
Abstract
We study the problem of determining uniquely a time-dependent singular potential , appearing in the wave equation in with and a bounded domain of , . We start by considering the unique determination of some singular time-dependent coefficients from observations on . Then, by weakening the singularities of the set of admissible coefficients, we manage to reduce the set of data that still guaranties unique recovery of such a coefficient. To our best knowledge, this paper is the first claiming unique determination of unbounded time-dependent coefficients, which is motivated by the problem of determining general nonlinear terms appearing in nonlinear wave equations.
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Taxonomy
TopicsNumerical methods in inverse problems · Seismic Imaging and Inversion Techniques · Microwave Imaging and Scattering Analysis
Determination of singular time-dependent coefficients for wave equations from full and partial data
Guanghui Hu
Beijing Computational Science Research Center, Building 9, East Zone, ZPark II, No.10 Xibeiwang East Road, Haidian District, Beijing 100193, China.
and
Yavar Kian
Aix Marseille Univ, Université de Toulon, CNRS, CPT, Marseille, France.
Abstract.
We study the problem of determining uniquely a time-dependent singular potential , appearing in the wave equation in with and a bounded domain of , . We start by considering the unique determination of some singular time-dependent coefficients from observations on . Then, by weakening the singularities of the set of admissible coefficients, we manage to reduce the set of data that still guaranties unique recovery of such a coefficient. To our best knowledge, this paper is the first claiming unique determination of unbounded time-dependent coefficients, which is motivated by the problem of determining general nonlinear terms appearing in nonlinear wave equations.
Keywords: Inverse problems, wave equation, time dependent coefficient, singular coefficients, Carleman estimate.
Mathematics subject classification 2010 : 35R30, 35L05.
1. Introduction
1.1. Statement of the problem
Let be a bounded domain of , , and fix , with . We consider the wave equation
[TABLE]
where the potential is assumed to be an unbounded real valued coefficient. In this paper we seek unique determination of from observations of solutions of (1.1) on .
1.2. Obstruction to uniqueness and set of full data for our problem
Let be the outward unit normal vector to , the normal derivative and from now on let be the differential operators . It has been proved by [40], that, for , the data
[TABLE]
determines uniquely a time-independent potential . On the other hand, due to domain of dependence arguments, there is no hope to recover even smooth time-dependent coefficients restricted to the set
[TABLE]
from the data (see [32, Subsection 1.1]). Therefore, even when is large, for the global recovery of general time-dependent coefficients the information on the bottom and the top of are unavoidable. Thus, for our problem the extra information on and , of solutions of (1.1), can not be completely removed. In this context, we introduce the set of data
[TABLE]
and we recall that [25] proved that, for , the data determines uniquely . From now on we will refer to as the set of full data for our problem and we mention that [31, 32, 33] proved recovery of bounded time-dependent coefficients from partial data corresponding to partial knowledge of the set . The goal of the present paper is to prove recovery of singular time-dependent coefficients from full and partial data.
1.3. Physical and mathematical motivations
Physically speaking, our inverse problem consists of determining unstable properties such as some rough time evolving density of an inhomogeneous medium from disturbances generated on the boundary and at initial time, and measurements of the response. The goal is to determine the function which describes the property of the medium. Moreover, singular time-dependent coefficients can be associated to some unstable time-evolving phenomenon that can not be modeled by bounded time-dependent coefficients or time independent coefficients.
Let us also observe that, according to [11, 27], for parabolic equations the recovery of nonlinear terms, appearing in some suitable nonlinear equations, can be reduced to the determination of time-dependent coefficients. In this context, the information that allows to recover the nonlinear term is transferred, throw a linearization process, to a time-dependent coefficient depending explicitly on some solutions of the nonlinear problem. In contrast to parabolic equations, due to the weak regularity of solutions, it is not clear that this process allows to transfer the recovery of nonlinear terms, appearing in a nonlinear wave equation, to a bounded time-dependent coefficient. Thus, in order to expect an application of the strategy set by [11, 27] to the recovery of nonlinear terms for nonlinear wave equations, it seems important to consider recovery of singular time-dependent coefficients.
1.4. known results
The problem of determining coefficients appearing in hyperbolic equations has attracted many attention over the last decades. This problem has been stated in terms of recovery of a time-independent potential from the set . For instance, [40] proved that determines uniquely a time-independent potential , while [16] proved that partial boundary observations are sufficient for this problem. We recall also that [4, 5, 30, 44] studied the stability issue for this problem.
Several authors considered also the problem of determining time-dependent coefficients appearing in wave equations. In [43], the authors shown that the knowledge of scattering data determines uniquely a smooth time-dependent potential. In [41], the authors studied the recovery of a time-dependent potential from data on the boundary for all time given by of forward solutions of (1.1) on the infinite time-space cylindrical domain instead of . As for [39], the authors considered this problem at finite time on and they proved the recovery of restricted to some strict subset of from . Isakov established in [25, Theorem 4.2] unique global determination of general time-dependent potentials on the whole domain from the important set of full data . By applying a result of unique continuation for wave equation, which is valid only for coefficients analytic with respect to the time variable (see for instance the counterexample of [1]), [17] proved unique recovery of time-dependent coefficients from partial knowledge of the data . In [42], the author extended the result of [41]. Moreover, [46] established the stable recovery of X-ray transforms of time-dependent potentials and [2, 6] proved log-type stability in the determination of time-dependent coefficients with data similar to [25] and [39]. In [31, 32, 33], the author proved uniqueness and stability in the recovery of several time-dependent coefficients from partial knowledge of the full set of data . It seems that the results of [31, 32, 33] are stated with the weakest conditions so far that allows to recover general bounded time-dependent coefficients. More recently, [34] proved unique determination of such coefficients on Riemannian manifolds. We mention also the work of [45] who determined some information about time-dependent coefficients from the Dirichlet-to-Neumann map on a cylinder-like Lorentzian manifold related to the wave equation. We refer to the work [10, 12, 20, 21, 35] for determination of time-dependent coefficients for fractional diffusion, parabolic and Schrödinger equations have been considered.
In all the above mentioned results, the authors considered time-dependent coefficients that are at least bounded. There have been several works dealing with recovery of non-smooth coefficients appearing in elliptic equations such as [9, 15, 19, 23]. Nevertheless, to our best knowledge, except the present paper, there is no work in the mathematical literature dealing with the recovery of singular time-dependent coefficients even from the important set of full data .
1.5. Main results
The main purpose of this paper is to prove the unique global determination of time-dependent and unbounded coefficient from partial knowledge of the observation of solutions on . More precisely, we would like to prove unique recovery of unbounded coefficient , , , from partial knowledge of the full set of data . We start by considering the recovery of some general unbounded coefficient from restriction of on the bottom and top of the time-space cylindrical domain . More precisely, for , , , we consider the recovery of from the set of data
[TABLE]
or the set of data
[TABLE]
where . In addition, assuming that , we prove the recovery of from the set of data
[TABLE]
Our first main result can be stated as follows
Theorem 1.1**.**
Let , and let . Then, either of the following conditions:
[TABLE]
[TABLE]
implies that . Moreover, assuming that , the condition
[TABLE]
implies that .
We consider also the recovery of a time-dependent and unbounded coefficient from restriction of the data on the lateral boundary . Namely, for all we introduce the -shadowed and -illuminated faces
[TABLE]
of . Here, for all , denotes the scalar product in given by
[TABLE]
We define also the parts of the lateral boundary taking the form . We fix and we consider with a closed neighborhood of in . Then, we study the recovery of , , from the data
[TABLE]
and the determination of a time-dependent coefficient , , from the data
[TABLE]
We refer to Section 2 for the definition of this set. Our main result can be stated as follows.
Theorem 1.2**.**
Let and let . Then, the condition
[TABLE]
implies that .
Theorem 1.3**.**
Let and let . Then, the condition
[TABLE]
implies that .
To our best knowledge the result of Theorem 1.1, 1.2 and 1.3 are the first results claiming unique determination of unbounded time-dependent coefficients for the wave equation. In Theorem 1.1, we prove recovery of coefficients , that can admit some singularities, by making restriction on the set of full data on the bottom and the top of . While, in Theorem 1.2 and 1.3, we consider less singular time-dependent coefficients, in order to restrict the data on the lateral boundary .
We mention also that the uniqueness result of Thorem 1.3 is stated with data close to the one considered by [31, 32], where determination of bounded time-dependent potentials is proved with conditions that seems to be one of the weakest so far. More precisely, the only difference between [31, 32] and Theorem 1.3 comes from the restriction on the Dirichlet boundary condition ([31, 32] consider Dirichlet boundary condition supported on a neighborhood of the -shadowed face, while in Theorem 1.3 we do not restrict the support of the Dirichlet boundary).
In the present paper we consider two different approaches which depend mainly on the restriction that we make on the set of full data . For Theorem 1.1, we use geometric optics solutions corresponding to oscillating solutions of the form
[TABLE]
with a large parameter, a remainder term that admits a decay with respect to the parameter and , , real valued. For , these solutions correspond to a classical tool for proving determination of time independent or time-dependent coefficients (e. g. [2, 3, 4, 6, 39, 41, 40]). In a similar way to [34], we consider in Theorem 1.1 solutions of the form (1.8) with in order to be able to restrict the data at and while avoiding a "reflection". It seems that in the approach set so far for the construction of solutions of the form (1.8), the decay of the remainder term relies in an important way to the fact that the coefficient is bounded (or time independent). In this paper, we prove how this construction can be extended to unbounded time-dependent coefficients.
The approach used for Theorem 1.1 allows in a quite straightforward way to restrict the data on the bottom and on the top of . Nevertheless, it is not clear how one can extend this approach to restriction on the lateral boundary without requiring additional smoothness or geometrical assumptions. For this reason, in order to consider restriction on , we use a different approach where the oscillating solutions (1.8) are replaced by exponentially growing and exponentially decaying solutions of the form
[TABLE]
where and admits a decay with respect to the parameter . The idea of this approach, which is inspired by [5, 31, 32, 33] (see also [8, 29] for elliptic equations), consists of combining results of density of products of solutions with Carleman estimates with linear weight in order to be able to restrict at the same time the data on the bottom , on the top and on the lateral boundary of . For the construction of these solutions, we use Carleman estimates in negative order Sobolev space. To our best knowledge this is the first extension of this approach to singular time-dependent coefficients.
1.6. Outline
This paper is organized as follows. In Section 2, we start with some preliminary results and we define the set of data , , , and . In Section 3, we prove Theorem 1.1 by mean of geometric optics solutions of the form (1.8). Then, Section 4 and Section 5 are respectively devoted to the proof of Theorem 1.2 and Theorem 1.3.
2. Preliminary results
In the present section we define the set of data , and we recall some properties of the solutions of (1.1) for any , with , or, for , with . For this purpose, in a similar way to [32], we will introduce some preliminary tools. We define the space
[TABLE]
[TABLE]
with the norm
[TABLE]
[TABLE]
We consider also the space
[TABLE]
and topologize it as a closed subset of (resp ). In view of [32, Proposition 4], the maps
[TABLE]
can be extended continuously to , . Here for all we set
[TABLE]
where
[TABLE]
Therefore, we can introduce
[TABLE]
[TABLE]
By repeating the arguments used in [32, Proposition 1], one can check that the restriction of to (resp ) is one to one and onto. Thus, we can use (resp ) to define the norm of (resp ) by
[TABLE]
[TABLE]
Let us consider the initial boundary value problem (IBVP in short)
[TABLE]
We have the following well-posedness result for this IBVP when is unbounded.
Proposition 2.1**.**
Let and . For , , and , problem (2.1) admits a unique solution satisfying
[TABLE]
with depending only on , , , , and any .
Proof.
According to the second part of the proof of [37, Theorem 8.1, Chapter 3], [37, Remark 8.2, Chapter 3] and [37, Theorem 8.3, Chapter 3], the proof of this proposition will be completed if we show that for any solving (2.1) the a priori estimate (2.2) holds true. Without lost of generality we assume that is real valued. From now on we consider this estimate. We define the enery at time by
[TABLE]
Multiplying (2.1) by and integrating by parts we get
[TABLE]
On the other hand, we have
[TABLE]
Applying the Sobolev embedding theorem and the Hölder inequality, for all we get
[TABLE]
with depending only on . Then, the Poincarré inequality implies
[TABLE]
where depends only on . Thus, from (2.4), we get
[TABLE]
In the same way, an application of the Hölder inequality yields
[TABLE]
Combining this estimate with (2.3)-(2.5), we deduce that
[TABLE]
where depends only on , and any . By taking the power on both side of this inequality, we get
[TABLE]
Then, the Gronwall inequality implies
[TABLE]
From this last estimate one can easily deduce (2.2).
∎
Let us introduce the IBVP
[TABLE]
We are now in position to state existence and uniqueness of solutions of this IBVP for and , .
Proposition 2.2**.**
Let , , . Then, the IBVP (2.6) admits a unique weak solution satisfying
[TABLE]
*and the boundary operator is a bounded operator from to
.*
Proof.
We split into two terms where solves
[TABLE]
Since and , by the Sobolev embedding theorem we have . Thus, according to Proposition 2.1 one can check that the IBVP (2.8) has a unique solution satisfying
[TABLE]
Thus, is the unique solution of (2.6) and estimate (2.9) implies (2.7). Now let us consider the last part of the proposition. For this purpose, let and let be the solution of (2.6). Note first that . Therefore, and , with
[TABLE]
Combining this with (2.7), we find that is a bounded operator from to .∎
From now on, we define the set by
[TABLE]
In the same way, for , , we consider the set , , introduced before Theorem 1.1. Using similar arguments to Proposition 2.2 we can prove the following.
Proposition 2.3**.**
Let with and let , . Then, the IBVP (2.6) admits a unique weak solution satisfying
[TABLE]
*and the boundary operator is a bounded operator from to
.*
We define the set by
[TABLE]
3. Proof of Theorem 1.1
The goal of this section is to prove Theorem 1.1. For this purpose, we consider special solutions of the equation
[TABLE]
taking the form
[TABLE]
with a large parameter and a remainder term that admits some decay with respect to . The use of such a solutions, also called oscillating geometric optics solutions, goes back to [40] who have proved unique recovery of time-independent coefficients. Since then, such approach has been used by various authors in different context including recovery of a bounded time-dependent coefficient by [34]. In this section we will prove how one can extend this approach, that has been specifically designed for the recovery of time-independent coefficients or bounded time-dependent coefficients, to the recovery of singular time-dependent coefficients.
3.1. Oscillating geometric optics solutions
Fixing , and , , , we consider solutions of (3.1) taking the form
[TABLE]
[TABLE]
Here, the expression , , are independent of and they are respectively solutions of the transport equation
[TABLE]
and the expression , , solves respectively the IBVP
[TABLE]
[TABLE]
with . The main point in the construction of such solutions, also called oscillating geometric optics (GO in short) solutions, consists of proving the decay of the expression with respect to . Actually, we would like to prove the following,
[TABLE]
For , the construction of GO solutions of the form (3.3)-(3.4), with satisfying (3.5) and satisfying (3.6)-(3.8), has been proved in [34, Lemma 2.2]. The fact that is bounded plays an important role in the arguments of [34, Lemma 2.2]. For this reason we can not apply the result of [34] and we need to consider the following.
Lemma 3.1**.**
Let , , , . Then, we can find solving (3.1), of the form (3.3)-(3.4), with , , satisfying (3.8) and the following estimate
[TABLE]
Proof.
We will consider this result only for , the proof for being similar by symmetry. Note first that, (3.5) implies that
[TABLE]
with
[TABLE]
Thus, in light Proposition 2.1, we have with
[TABLE]
In particular, this proves (3.9). The only point that we need to check is the decay with respect to given by (3.8). For this purpose, we consider and we easily check that solves
[TABLE]
with
[TABLE]
In view of [38, Theorem 2.1, Chapter 5], since we have . We define the energy at time associated with and given by
[TABLE]
Multiplying (3.12) by and taking the real part, we find
[TABLE]
Applying Fubini’s theorem, we obtain
[TABLE]
On the other hand, applying the Hölder inequality, we get
[TABLE]
Then, combining the Sobolev embedding theorem with the Poincarré inequality, we deduce that
[TABLE]
with depending only on . Applying again the Hölder inequality, we get
[TABLE]
In the same way, we obtain
[TABLE]
Finally, fixing
[TABLE]
we find
[TABLE]
Combining (3.13)-(3.16), we deduce that
[TABLE]
and we get
[TABLE]
with depending only on and . Now taking the power on both side of this inequality, we get
[TABLE]
and applying the Gronwall inequality, we obtain
[TABLE]
where depends only on and on , and . According to this estimate, the proof of the lemma will be completed if we prove that
[TABLE]
This follows from some arguments similar to the end of the proof of [34, Lemma 2.2] that we recall for sake of completeness. Applying the Riemann-Lebesgue lemma, for all and almost every , we have
[TABLE]
Therefore, for all and almost every , we obtain
[TABLE]
Moreover, from the definition of , we get
[TABLE]
Thus, we deduce from Lebesgue’s dominated convergence theorem that
[TABLE]
Combining this with the estimate
[TABLE]
we deduce (3.17). This completes the proof the lemma. ∎
3.2. Proof of Theorem 1.1 with restriction at or
In this section we will prove that (1.3) or (1.4) implies that . We start by assuming that (1.3) is fulfilled and we fix on extended by [math] on . We fix , and we fix satisfying . Then, in view of Lemma 3.1, we can consider , , solving (3.1), of the form (3.3)-(3.4), with , , , and with condition (3.8)-(3.9) fulfilled, that is,
[TABLE]
Obviously, we have , since by (3.7). In view of Proposition 2.1, there exists a unique weak solution to the IBVP:
[TABLE]
Setting , we see
[TABLE]
Noting that the inhomogeneous term , due to the fact that and . Hence, again using Proposition 2.1 gives that . Therefore, we have . Combining this with , we deduce that
[TABLE]
Now, in view of [28, Lemma 2.2] we can multiply to the equation in (3.19) and apply Green formula to get
[TABLE]
with n the outward unite normal vector to . Since and , we see , in addition to the boundary conditions of in (3.19). Consequently, it follows from (3.20) that
[TABLE]
Inserting the expressions of () given by (3.18) to the previous identity gives the relation
[TABLE]
for all . Using the fact that and applying the Riemann-Lebesgue lemma and (3.8), we deduce that
[TABLE]
as . On the other hand, by Cauchy-Schwarz inequality it holds that
[TABLE]
which tends to zero as due to the decaying behavior of (see (3.8)) and estimate (3.9). Therefore, as . It then follows that
[TABLE]
Since is arbitrary chosen, we deduce that for any and any lying in the hyperplane of , the Fourier transform is null at . On the other hand, since is compactly supported in , we know that is a complex valued real-analytic function and it follows that . By inverse Fourier transform this yields the vanishing of , which implies that in .
To prove that the relation (1.4) implies , we shall consider , , solving (3.1), of the form (3.3)-(3.4), with , , , and with condition (3.8)-(3.9) fulfilled. Then, by using the fact that , , and by repeating the above arguments, we deduce that . For brevity we omit the details.
We have proved so far that either of the conditions (1.3) and (1.4) implies . It remains to prove that for , the condition (1.5) implies .
3.3. Proof of Theorem 1.1 with restriction at and
In this section, we assume that is fulfilled and we will show that (1.5) implies . For this purpose, we fix , and . We set also satisfying on and such that
[TABLE]
We introduce the solutions , , of (3.1), of the form (3.3)-(3.4), with
[TABLE]
[TABLE]
and with condition (3.8)-(3.9) fulfilled. Then, one can check that , , and repeating the arguments of the previous subsection we deduce that condition (1.5) implies the orthogonality identity
[TABLE]
It remains to proves that this implies . Note that
[TABLE]
with
[TABLE]
In a similar way to the previous subsection, one can check that (3.8)-(3.9) imply that
[TABLE]
Moreover, the Riemann-Lebesgue lemma implies
[TABLE]
In addition, using the fact that for we have
[TABLE]
we deduce that
[TABLE]
and that
[TABLE]
Thus, repeating the arguments of the previous subsection we can deduce that provided that
[TABLE]
Since and , we deduce that
[TABLE]
[TABLE]
But, for any , one can check that
[TABLE]
Therefore, we have
[TABLE]
and by the same way that . This implies (3.24) and by the same way that . Thus, the proof of Theorem 1.1 is completed.
4. Proof of Theorem 1.2
In the previous section we have seen that the oscillating geometric optics solutions (3.2) can be used for the recovery of some general singular time-dependent potential. We have even proved that, by adding a second term, we can restrict the data on the bottom and top of while avoiding a "reflection". Nevertheless, as mentioned in the introduction, it is not clear how one can adapt this approach to restrict data on the lateral boundary without requiring additional smoothness or geometrical assumptions. In this section, we use a different strategy for restricting the data at . Namely, we replace the oscillating GO solutions (3.2) by exponentially growing and decaying solutions, of the form (1.9), in order to restrict the data on by mean of a Carleman estimate. In this section, we assume that , with , and we will prove that (1.6) implies . For this purpose, we will start with the construction of solutions of (1.1) taking the form (1.9). Then we will show Carleman estimates for unbounded potentials and we will complete the proof of Theorem 1.2.
4.1. Geometric optics solutions for Theorem 1.2
Let and let be such that . In this section we consider exponentially decaying solutions of the equation in taking the form
[TABLE]
and exponentially growing solution of the equation in taking the form
[TABLE]
where and the term , , satisfies
[TABLE]
with independent of . We summarize these results in the following way.
Proposition 4.1**.**
There exists such that for we can find a solution of in taking the form (4.1) with satisfying (4.3) for .
Proposition 4.2**.**
There exists such that for we can find a solution of in taking the form (4.2) with satisfying (4.3) for .
We start by considering Proposition 4.1. To build solutions of the form (4.1), we first recall some preliminary tools and a suitable Carleman estimate in Sobolev space of negative order borrowed from [33]. For all , we introduce the space defined by
[TABLE]
with the norm
[TABLE]
Note that here we consider these spaces with and, for , one can check that . Here for all tempered distribution , we denote by the Fourier transform of . We fix the weighted operator
[TABLE]
and we recall the following Carleman estimate
Lemma 4.1**.**
(Lemma 5.1, [33])* There exists such that*
[TABLE]
with independent of and .
From this result we can deduce the Carleman estimate
Lemma 4.2**.**
Let , and . Then, there exists such that
[TABLE]
with independent of and .
Proof.
We start by considering the case . Note first that
[TABLE]
On the other hand, fixing
[TABLE]
by the Sobolev embedding theorem we deduce that
[TABLE]
Combining this with the fact that
[TABLE]
we deduce from the Hölder inequality that
[TABLE]
Thus, applying (4.4) and (4.6), we deduce (4.5) for sufficiently large. Now let us consider the case . Note first that
[TABLE]
Therefore, by repeating the above arguments, we obtain
[TABLE]
which implies (4.5) for sufficiently large. Combining these two results, one can find such that (4.5) is fulfilled.∎
Using this new carleman estimate we are now in position to complete the proof of Proposition 4.1.
Proof of Proposition 4.1. Note first that
[TABLE]
[TABLE]
Therefore, we need to consider a solution of
[TABLE]
and satisfying (4.3) for . For this purpose, we will use estimate (4.5). From now on, we fix . Applying the Carleman estimate (4.5), we define the linear form on , considered as a subspace of by
[TABLE]
Then, (4.5) implies
[TABLE]
Thus, by the Hahn Banach theorem we can extend to a continuous linear form on still denoted by and satisfying . Therefore, there exists such that
[TABLE]
Choosing with proves that satisfies in . Moreover, we have . This proves that fufills (4.3) which completes the proof of the proposition.∎
Now let us consider the construction of the exponentially growing solutions given by Proposition 4.2. Combining [33, Lemma 5.4] with the arguments used in Lemma 4.2 we obtain the Carleman estimate.
Lemma 4.3**.**
There exists such that for , we have
[TABLE]
with independent of and .
In a similar way to Proposition 4.1, we can complete the proof of Proposition 4.2 by applying estimate (4.8).
4.2. Carleman estimates for unbounded potential
This subsection is devoted to the proof of a Carleman estimate similar to [33, Theorem 3.1]. More precisely, we consider the following estimate.
Theorem 4.1**.**
Let , and assume that (resp ) and . If satisfies the condition
[TABLE]
then there exists depending only on , and (resp ) such that the estimate
[TABLE]
holds true for with depending only on , and .
Proof.
Since the proof of this result is similar for or , we assume without lost of generality that . Note first that for , (4.9) follows from [33, Theorem 3.1]. On the other hand, we have
[TABLE]
and by the Hölder inequality we deduce that
[TABLE]
with . Now fix and notice that
[TABLE]
Thus, by the Sobolev embedding theorem, we have
[TABLE]
and by interpolation we deduce that
[TABLE]
On the other hand, in view of [33, Theorem 3.1], there exists such that, for , we have
[TABLE]
Thus, we get
[TABLE]
Therefore, fixing sufficiently large and applying [33, Theorem 3.1] with we deduce (4.10).
∎
Remark 4.1**.**
Note that, by density, (4.10) remains true for satisfying (4.9), and .
4.3. Completion of the proof of Theorem 1.2
This subsection is devoted to the proof of Theorem 1.2. From now on, we set on and we assume that on . For all and all , we set
[TABLE]
and . Here and in the remaining of this text we always assume, without mentioning it, that and are chosen in such way that contain a non-empty relatively open subset of . Without lost of generality we assume that there exists such that for all we have . In order to prove Theorem 1.2, we will use the Carleman estimate stated in Theorem 4.1. Let and fix . According to Proposition 4.1, we can introduce
[TABLE]
where satisfies , and satisfies (4.3) for . Moreover, in view of Proposition 4.2, we consider a solution of , of the form
[TABLE]
where satisfies (4.3) for . In view of Proposition 2.2, there exists a unique weak solution of
[TABLE]
Then, solves
[TABLE]
Since , by the Sobolev embedding theorem we have . Thus, repeating the arguments of Theorem 1.1, we derive the formula (3.20). On the other hand, we have and condition (1.6) implies that . In addition, in view of [36, Theorem 2.1], we have . Combining this with the fact that and , we obtain
[TABLE]
Applying the Cauchy-Schwarz inequality to the first expression on the right hand side of this formula and using the fact that , we get
[TABLE]
for some independent of . On the other hand, one can check that
[TABLE]
Combining this with (4.3), we obtain
[TABLE]
In the same way, we have
[TABLE]
Combining these estimates with the Carleman estimate (4.10) and applying the fact that , , we find
[TABLE]
Here stands for some generic constant independent of . On the other hand, in a similar way to Lemma 4.2, combining the Hölder inequality and the Sobolev embedding theorem we get
[TABLE]
Combining this with (4.3) and (4.14), we obtain
[TABLE]
It follows
[TABLE]
[TABLE]
with
[TABLE]
Combining this with (4.20), for all and all , the Fourier transform of satisfies . On the other hand, since is supported on which is compact, is a complex valued real-analytic function and it follows that and . This completes the proof of Theorem 1.2.
5. Proof of Theorem 1.3
Let us first remark that, in contrast to Theorem 1.1, in Theorem 1.2 we do not restrict the data to solutions of (1.1) satisfying . In this section we will show Theorem 1.3 by combining the restriction on the bottom , the top of stated in Theorem 1.1 with the restriction on the lateral boundary stated in Theorem 1.2. From now on, we fix , , and we will show that condition (1.7) implies . For this purpose we still consider exponentially growing and decaying GO solutions close to those of the previous subsection, but this time we need to take into account the constraint required in Theorem 1.3. For this purpose, we will consider a different construction comparing to the one of the previous section which will follow from a Carleman estimate in negative order Sobolev space only with respect to the space variable.
5.1. Carleman estimate in negative Sobolev space for Theorem 1.3
In this subsection we will derive a Carleman estimate in negative order Sobolev space which will be one of the main tool for the construction of exponentially growing solutions of (3.1) taking the form
[TABLE]
with the restriction (recall that for , ). In a similar way to the previous section, for all , we introduce the space defined by
[TABLE]
with the norm
[TABLE]
In order to construct solutions of the form (4.2) and satisfying , instead of the Carleman estimate (4.8), we consider the following.
Theorem 5.1**.**
There exists such that for and for all satisfying
[TABLE]
we have
[TABLE]
with independent of and .
In order to prove this theorem, we start by recalling the following intermediate tools. From now on, for and , we set
[TABLE]
and defined by
[TABLE]
For we define also the class of symbols
[TABLE]
Following [24, Theorem 18.1.6], for any and , we define , with , by
[TABLE]
For all , we define and for we set
[TABLE]
Now let us consider the following intermediate result.
Lemma 5.1**.**
There exists such that for and for all satisfying (5.2), we have
[TABLE]
with independent of and .
Proof.
Consider and note that according to (5.2), we have and
[TABLE]
Therefore, in a similar way to the proof of [32, Lemma 4.1], one can check that
[TABLE]
with independent of and . Now, recalling that solves
[TABLE]
we deduce that
[TABLE]
where depends only on and . Combining this with (5.5), we obtain
[TABLE]
Using the fact that , we deduce (5.4).∎
Armed with this Carleman estimate, we are now in position of completing the proof of Theorem 5.1. Proof of Theorem 5.1. Let satisfy (5.2), consider , , two bounded open smooth domains of such that , and let be such that on . We consider given by
[TABLE]
and we remark that satisfies
[TABLE]
Now let us consider the quantity . Note first that
[TABLE]
Moreover, it is clear that
[TABLE]
Therefore, we have
[TABLE]
and, since satisfies (5.6), combining this with (5.4) we deduce that
[TABLE]
On the other hand, fixing satisfying on , we get
[TABLE]
and, combining this with (5.7), we deduce that
[TABLE]
Moreover, since on neighborhood of supp, in view of [24, Theorem 18.1.8], we have . In the same way, [24, Theorem 18.1.8] implies that
[TABLE]
and we deduce that
[TABLE]
Combining this with (5.8) and choosing sufficiently large, we deduce (5.3) for . Then, we deduce (5.3) for by applying arguments similar to Lemma 4.2.∎
Applying the Carleman estimate (5.3), we can now build solutions of the form (5.1) and satisfying and complete the proof of Theorem 1.3.
5.2. Completion of the proof of Theorem 1.3
We start by proving existence of a solution of the form (5.1) with the term , satisfying
[TABLE]
[TABLE]
This result is summarized in the following way.
Proposition 5.1**.**
There exists such that for we can find a solution of in taking the form (5.1) with satisfying (5.9)-(5.10).
Proof.
We need to consider a solution of
[TABLE]
satisfying (5.9)-(5.10). Note that here, we use (5.11) and the fact that in order to prove that and we define by . We will construct such a function by applying estimate (5.3). From now on, we fix . Applying the Carleman estimate (5.3), we define the linear form on
[TABLE]
considered as a subspace of , by
[TABLE]
Then, (5.3) implies
[TABLE]
with independent of and . Thus, by the Hahn Banach theorem we can extend to a continuous linear form on still denoted by and satisfying . Therefore, there exists such that
[TABLE]
Choosing with proves that satisfies in . Moreover, choosing , with and arbitrary, proves that (5.10) is fulfilled. Finally, using the fact that proves that fulfills (5.9) which completes the proof of the proposition.∎
Using this proposition, we are now in position to complete the proof of Theorem 1.3.
Proof of Theorem 1.3. Let us remark that since Lemma 4.2 and Theorem 4.1 are valid when one can easily extend Proposition 4.1 to the case . Therefore, in the context of this section, Proposition 4.1 holds true. Combining Proposition 4.1 with Proposition 5.1, we deduce existence of a solution of in taking the form (4.1), with satisfying (4.3) for , as well as the existence of a solution of in , , taking the form (5.1) with the term satisfying (5.9). Repeating the arguments of the end of the proof of Theorem 1.2 (see Subsection 4.4), we can deduce the following orthogonality identity
[TABLE]
Moreover, one can check that
[TABLE]
with
[TABLE]
Combining (4.3), (5.9) with the fact that
[TABLE]
we deduce that
[TABLE]
Combining this asymptotic property with (5.12), we can conclude in a similar way to Theorem 1.2 that . ∎
Acknowledgments
The work of the first author is supported by the NSFC grant (No. 11671028), NSAF grant (No. U1530401) and the 1000-Talent Program of Young Scientists in China. The second author would like to thank Pedro Caro for his remarks and fruitful discussions about this problem. The second author would like to thank the Beijing Computational Science Research Center, where part of this article was written, for its kind hospitality
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