The higher order fractional Calderón problem for linear local operators: uniqueness
Abstract.
We study an inverse problem for the fractional Schrödinger equation (FSE) with a local perturbation by a linear partial differential operator (PDO) of order smaller than the one of the fractional Laplacian. We show that one can uniquely recover the coefficients of the PDO from the exterior Dirichlet-to-Neumann (DN) map associated to the perturbed FSE. This is proved for two classes of coefficients: coefficients which belong to certain spaces of Sobolev multipliers and coefficients which belong to fractional Sobolev spaces with bounded derivatives. Our study generalizes recent results for the zeroth and first order perturbations to higher order perturbations.
Key words and phrases:
Inverse problems, fractional Calderón problem, fractional Schrödinger equation, Sobolev multipliers.1. Introduction
Let , a bounded open set where , its exterior and a linear partial differential operator (PDO) of order
(1) |
where the coefficients are functions defined in . We study a nonlocal inverse problem for the perturbed fractional Schrödinger equation
(2) |
where is a nonlocal pseudo-differential operator in contrast to the local operator . In the inverse problem, one aims to recover the local operator from the associated Dirichlet-to-Neumann map.
We always assume that is not a Dirichlet eigenvalue of the operator , i.e.
(3) |
Our data for the inverse problem is the exterior Dirichlet-to-Neumann (DN) map which maps Dirichlet exterior values to a nonlocal version of the Neumann boundary value (see section 2 and 3.1). The main question that we study in this article is whether the exterior DN map determines uniquely the coefficients in . In other words, does imply that in for all ? We prove that the answer is positive under certain restrictions on the coefficients and the order of the PDOs.
This gives a positive answer to the uniqueness problem [12, Question 7.5] posed by the first three authors in a previous work. The precise statement in [12] asks to prove uniqueness for the higher order fractional Calderón problem in the case of a bounded domain with smooth boundary and PDOs with smooth coefficients (up to the boundary). The positive answer to this question follows from theorem 1.4. The study of the fractional Calderón problem was initiated by Ghosh, Salo and Uhlmann in the work [18] where the uniqueness for the associated inverse problem is proved when , and .
We briefly note that by Peetre’s theorem any linear operator which does not increase supports, i.e. for all , is in fact a differential operator [38] (see also the original work [40]). Therefore our results apply to any local operator satisfying such properties and it is enough to study PDOs only. For a more general formulation of Peetre’s theorem on the level of vector bundles, see [39].
1.1. Main results
We denote by the space of all bounded Sobolev multipliers between the Sobolev spaces and . We denote by the space of bounded Sobolev multipliers that can be approximated by smooth compactly supported functions in the multiplier norm of . We also write for the local Bessel potential space with bounded derivatives. See section 2 for more detailed definitions.
Our first theorem is a generalization of [44, Theorem 1.1] which considered the case with . It also generalizes [12, Theorem 1.5] which considered the higher order case when .
Theorem 1.1.
Let be a bounded open set where . Let and be such that . Let
be linear PDOs of order with coefficients . Given any two open sets , suppose that the exterior DN maps for the equations in satisfy
for all . Then .
In theorem 1.1 one can pick the lower order coefficients () from for high enough (especially from ) and higher order coefficients () from the closure of in for certain values of . In the following propositions, which are proved in Section 2, we give more examples of Sobolev spaces which belong to the space of multipliers :
Proposition 1.2.
Let be an open set and let and be such that . The following inclusions hold:
-
(i)
whenever .
-
(ii)
whenever with and is a Lipschitz domain.
-
(iii)
whenever and . The same holds true for if is a Lipschitz domain, and for when is a Lipschitz domain and .
Note that the assumptions in theorem 1.1 satisfy the conditions of proposition 1.2 since then and . The next proposition gives examples of spaces of lower order coefficients ():
Proposition 1.3.
Let be an open set and . The following inclusions hold:
-
(i)
whenever and . Especially, if is bounded, then .
-
(ii)
whenever and . The same holds true for if is a Lipschitz domain, and for when is Lipschitz domain and .
As mentioned above, we put in theorem 1.1 and the condition in proposition 1.3 is satisfied. Note that under the assumption we have . Hence we can choose the lower order coefficients from a less regular space in theorem 1.1 (compare to proposition 1.2). We also note that when the space of multipliers coincides with the one studied in [44].
It follows from lemma 2.5 that the space of multipliers is trivial for higher order operators, i.e. when . It would be possible to state theorem 1.1 for higher order PDOs, but that forces for all . For this reason we only consider PDOs whose order is . See lemma 2.5 and the related remarks for more details.
Our second theorem generalizes [8, Theorem 1.1] and [18, Theorem 1.1], where similar results are proved when and . It also generalizes [12, Theorem 1.5] where the case and was studied.
Theorem 1.4.
Let be a bounded Lipschitz domain where . Let and be such that . Let
be a linear PDOs of order with coefficients where
(4) |
for any fixed . Given any two open sets , suppose that the exterior DN maps for the equations in satisfy
for all . Then .
Our first theorem is formulated for general bounded open sets and the second theorem for Lipschitz domains. The difference arises in the proof of the well-posedness of the forward problem. We note that theorem 1.4 holds for coefficients which are smooth up to the boundary ( where ). The conditions (4) imply that one can choose for every such that . The case never happens, as is assumed not to be an integer. If , we have when . Thus the conditions (4) coincide with [8, 18] when and .
Our article is roughly divided into two parts. The first part of the article (theorem 1.1 and section 3) generalizes the study of the uniqueness problem for singular potentials in [44] and the second part (theorem 1.4 and section 4) generalizes the uniqueness problem for bounded first order perturbations in [8].
The approach to prove theorems 1.1 and 1.4 is the following. First one shows that the forward problem is well-posed and the corresponding bilinear forms are bounded. This leads to the boundedness of the exterior DN maps and an Alessandrini identity. By a unique continuation property of the higher order fractional Laplacian one obtains a Runge approximation property for equation (2). Using the Runge approximation and the Alessandrini identity for suitable test functions one proves the uniqueness of the inverse problem.
1.2. On the earlier literature
Equation (2) and theorems 1.1 and 1.4 are related to the Calderón problem for the fractional Schrödinger equation first introduced in [18]. There one tries to uniquely recover the potential in by doing measurements in the exterior . This is a nonlocal (fractional) counterpart of the classical Calderón problem arising in electrical impedance tomography, where one obtains information about the electrical properties of some bounded domain by doing voltage and current measurements on the boundary [49, 50]. In [44] the study of the fractional Calderón problem is extended for “rough” potentials , i.e. potentials which are in general bounded Sobolev multipliers. First order perturbations were studied in [8] assuming that the fractional part dominates the equation, i.e. , and that the perturbations have bounded fractional derivatives. A higher order version () of the fractional Calderón problem was introduced and studied in [12]. These three articles [8, 12, 44] motivate the study of higher order (rough) perturbations to the fractional Laplacian in equation (2). The natural restriction for the order of in theorems 1.1 and 1.4 is then , so that the fractional part governs the equation (2).
The fractional Calderón problem for has been studied in many settings. We refer to the survey [46] for a more detailed treatment. In the work [44] stability was proved for singular potentials, and in [43] the related exponential instability was shown. The fractional Calderón problem has also been solved under single measurement [17]. The perturbed equation is related to the fractional magnetic Schrödinger equation which is studied in [10, 30, 31, 32]. See also [5] for a fractional Schrödinger equation with a lower order nonlocal perturbation. Other variants of the fractional Calderón problem include semilinear fractional (magnetic) Schrödinger equation [24, 25, 30, 32], fractional heat equation [26, 45] and fractional conductivity equation [11] (see also [7, 16] for equations arising from a nonlocal Schrödinger-type elliptic operator). In the recent work [12], the first three authors of this article studied higher order versions () of the fractional Calderón problem and proved uniqueness for the Calderón problem for the fractional magnetic Schrödinger equation (up to a gauge). This article continues these studies by showing uniqueness for the fractional Schrödinger equation with higher order perturbations and gives positive answer to a question posed in [12, Question 7.5].
1.3. Examples of fractional models in the sciences
Equations involving fractional Laplacians like (2) have applications in mathematics and natural sciences. Fractional Laplacians appear in the study of anomalous and nonlocal diffusion, and these diffusion phenomena can be used in many areas such as continuum mechanics, graph theory and ecology just to mention a few [2, 6, 15, 34, 41]. Another place where the fractional counterpart of the classical Laplacian naturally shows up is the formulation of fractional quantum mechanics [27, 28, 29]. See [42] and references therein for possible applications of higher order fractional Laplacians. For more applications of fractional mathematical models, see [6, 37] and the references therein.
1.4. The organization of the article
In section 2 we introduce the notation and give preliminaries on Sobolev spaces and fractional Laplacians. We also define the spaces of rough coefficients (Sobolev multipliers) and discuss some of the basic properties. In section 3 we prove theorem 1.1 in detail. Finally, in section 4 we prove theorem 1.4 but as the proofs of both theorems are very similar we do not repeat all identical steps and we keep our focus in the differences of the proofs.
Acknowledgements
G.C. was partially supported by the European Research Council under Horizon 2020 (ERC CoG 770924). K.M. and J.R. were supported by Academy of Finland (Centre of Excellence in Inverse Modelling and Imaging, grant numbers 284715 and 309963). G.U. was partly supported by NSF, a Walker Family Endowed Professorship at UW and a Si Yuan Professorship at IAS, HKUST. G.C. would like to thank Angkana Rüland for helpful discussions and her hospitality during his visit to Max Planck Institute for Mathematics in the Sciences. J.R. and G.U. wish to thank Maarten V. de Hoop, Rice University and Simons Foundation for providing the support to participate 2020 MATH + X Symposium on Inverse Problems and Deep Learning, Mitigating Natural Hazards, where this project was initiated.
2. Preliminaries
In this section we recall some basic theory of Sobolev spaces, Fourier analysis and fractional Laplacians on . We also introduce the spaces of Sobolev multipliers and prove a few properties for them. Some auxiliary lemmas which are needed in the proofs of our main theorems are given as well. We follow the references [1, 18, 36, 35, 48, 51] (see also section 2 in [12]).
2.1. Sobolev spaces
The (inhomogeneous) fractional -based Sobolev space of order is defined to be
(5) |
equipped with the norm
(6) |
Here is the Fourier transform of a tempered distribution , is the inverse Fourier transform and . We define the fractional Laplacian of order as where is a Schwartz function. Then extends to a bounded operator for all by density of in [18, Lemma 2.1] (see also [12, Section 2.2]). It would be possible to define the fractional Laplacian in many other ways, according to the intended application (check e.g. [13, 23, 33]). In particular, our global definition of the fractional Laplacian using Fourier transform will be different from the spectral definition used in [21] (see for example [13, 47]).
Let be an open set and a closed set. We define the following Sobolev spaces
(7) | ||||
(8) | ||||
(9) | ||||
(10) |
It trivially follows that and . Further, we have and for any open set and [9, Theorem 3.3]. If is in addition a Lipschitz domain, then we have for all and when such that [36, Theorems 3.29 and 3.33].
More generally, let and . We define the Bessel potential space
(11) |
equipped with the norm
(12) |
We also write where the Fourier multiplier is called the Bessel potential. We have the continuous inclusions whenever [4, Theorem 6.2.3]. By the Mikhlin multiplier theorem one can show that is continuous whenever and (see [18, Remark 2.2] and [1, Theorem 7.2]). The local version of the space is defined as earlier by the restrictions
(13) |
where is any open set. This space is equipped with the quotient norm
(14) |
We have the continuous inclusions whenever by the definition of the quotient norm.
We also define the spaces
(15) | ||||
(16) | ||||
(17) |
where is a closed set. Note that since the restriction map is by definition continuous. One can also see that If is a bounded -domain and , then we have [48, Theorem 1 in section 4.3.2]
(18) | ||||
(19) |
Some authors (especially in [8, 44]) use the notation for Bessel potential spaces. We have decided to use the notation so that these spaces are not confused with the Sobolev-Slobodeckij spaces which are in general different from the Bessel potential spaces [14, Remark 3.5].
The equation (2) we study is nonlocal. Instead of putting boundary conditions we impose exterior values for the equation. This can be done by saying that in if . Motivated by this we define the (abstract) trace space , i.e. functions in are the same (have the same trace) if they agree in . If is a Lipschitz domain, then we have and [18, p.463].
2.2. Properties of the fractional Laplacian
The fractional Laplacian admits two important properties which we need in our proofs. The first one is unique continuation property (UCP) which is used in proving the Runge approximation property.
Lemma 2.1 (UCP).
Let , and . If and for some nonempty open set , then .
Lemma 2.1 is proved in [12] for by reducing the problem to the UCP result for in [18]. Note that such property is not true for local operators like the classical Laplacian . The second property we need is the Poincaré inequality, which is used in showing that the forward problem for the perturbed fractional Schrödinger equation is well-posed.
Lemma 2.2 (Poincaré inequality).
Let , compact set and . There exists a constant such that
(20) |
Many different proofs for lemma 2.2 are given in [12]. We note that in the literature the fractional Poincaré inequality is typically considered only when .
Finally, we recall the fractional Leibniz rule, also known as the Kato-Ponce inequality. It is used to show the boundedness of the bilinear forms associated to the perturbed fractional Schrödinger equation in the case when the coefficients of the PDO have bounded fractional derivatives.
Lemma 2.3 (Kato-Ponce inequality).
Let , , and such that . If , , and , then and
(21) |
where is the Bessel potential of order and .
2.3. Spaces of rough coefficients
Following [35, Ch. 3], we introduce the space of multipliers between pairs of Sobolev spaces. Here we are assuming that . The coefficients of in theorem 1.1 will be picked from such spaces of multipliers.
If is a distribution, we say that whenever the norm
is finite. Here indicates the pointwise product of functions, while is the duality pairing. If the distribution happens to be a function, the duality pairing can be defined as
By we indicate the closure of in . If and are both non-vanishing, we have the multiplier inequality
(22) |
By the density of in with respect to the product norm and estimate (22), there is a unique continuous extension of acting on . More precisely, each gives rise to a linear multiplication map defined by
(23) |
where is any Cauchy sequence in converging to . The existence of the limit is granted by completeness and formula (22), which ensures that is also a Cauchy sequence. In fact, we have
where is bounded by a constant independent of and . The independence of the limit on the particular sequence can be showed by a similar estimate.
We can analogously define the unique adjoint multiplication map such that
Since one sees that the adjoint of is , the chosen notation is justified. For convenience, in the rest of the paper we will just write for both and .
Remark 2.4.
The spaces of rough coefficients we use are generalizations of the ones considered in [44]. In fact, the space used there coincides with our space .
In the next lemma we state some elementary properties of the spaces of multipliers. Other interesting properties may be found in [35].
Lemma 2.5.
Let and . Then
-
(i)
, and the norms associated to the two spaces also coincide.
-
(ii)
continuously.
-
(iii)
whenever .
Proof.
i Let be a distribution. Then by just using the definition we see that
(24) | ||||
(25) |
ii Observe that the given definition of is equivalent to the following:
(26) |
Since , we also have
This implies , which in turn gives the wanted inclusion.
iii If , then this was considered in [35, Ch. 3]. The proof given there recalls the easier one for Sobolev spaces ([35, Sec. 2.1]), which is based on the explicit computation of derivatives of aptly chosen exponential functions.
If , then by point i we have . We need to show that whenever . This reduces the problem back to the case of non-negative Sobolev scales.
If , then . Now by point ii, we have . It is therefore enough to show that this last space is trivial, which again immediately follows from the case of non-negative Sobolev scales.
If , then the problem can be reduced again to the earlier cases. ∎
Remark 2.6.
We also have whenever , since the inclusion in ii is continuous.
Remark 2.7.
In light of lemma 2.5 ii we are only interested in in the case , the case being trivial. For our theorem 1.1, this translates into the condition . We decided not to consider the limit case in this work, as our machinery (in particular, the coercivity estimate (99)) breaks down in this case. However, it should be noted that since by assumption we have and , the equality can only arise if is odd, which forces with . This case was excluded in [8, 18] as well.
Propositions 1.2 and 1.3 relate our spaces of multipliers with some special Bessel potential spaces. This is interesting since in the coming section 3 we will consider the inverse problem for coefficients coming from such spaces. We now prove those propositions.
Proof of proposition 1.2.
Throughout the proof we assume that such that . In parts i and ii we can assume that since if , then we have the continuous inclusion where (such always exists since ).
i Let . Now where and . Then
(27) | ||||
(28) |
Here we used the Kato-Ponce inequality (lemma 2.3)
(29) | ||||
(30) |
and the assumption . Therefore which shows that .
Proof of proposition 1.3.
Throughout the proof we assume that such that .
3. Main theorem for singular coefficients
In this section, to shorten the notation, we will write , and so on for the global norms in when the base set is not written explicitly.
3.1. Well-posedness of the forward problem
Consider the problem
(37) | ||||
(38) |
and the corresponding adjoint-problem
(39) | ||||
(40) |
Note that if and , then and matching with .
Remark 3.1.
Observe that is not symmetric, which motivates the introduction of the bilinear form . Moreover, one sees by simple inspection that for all . This identity holds for as well by density, thanks to the following boundedness lemma.
Lemma 3.2 (Boundedness of the bilinear forms).
Let and such that , and let . Then and extend as bounded bilinear forms on .
Proof.
We only prove the boundedness of , as for one can proceed in the same way. The proof is a simple calculation following from inequality (22). Let . We can then estimate that
(43) | ||||
(44) | ||||
(45) |
Now the claim follows from the density of in . ∎
Definition 3.3 (Weak solutions).
In order to prove the existence and uniqueness of weak solutions, we use the following form of Young’s inequality, which holds for all and such that :
(46) |
The validity of (46) is easily proved by choosing and in Young’s inequality .
Lemma 3.4 (Well-posedness).
Let be a bounded open set. Let and be such that , and let . There exist a real number and a countable set of eigenvalues such that if , for any and there exists a unique such that and
One has the estimate
The function is also the unique satisfying
in the sense of distributions in and . Moreover, if (63) holds then .
Proof.
Let . The above problem is reduced to finding a unique such that , where . Observe that the modified functional belongs to as well, since by lemma 3.2 we have for all
Since , for any we can write , where and . Thus by formula (22), the continuity of the multiplication for large enough (see [3, Theorem 7.3]) and the fact that for all we obtain
(47) | ||||
(48) | ||||
(49) |
where is large enough ( is sufficient). If , from formulas (47) and (46) with we get directly
(50) | ||||
(51) |
for a constant independent of . If instead (observe that we can not have , because can not be an integer), we use the interpolation inequality
in order to get
(52) |
Then by formula (46) with
we obtain
(53) |
for a constant independent of . Now we use formula (46) again, but this time we choose
This leads to
(54) | ||||
(55) | ||||
(56) | ||||
(57) |
where are constants changing from line to line. Observe that can be taken independent of . Eventually, using (50) and (54) we get
(58) | ||||
(59) |
By the higher order Poincaré inequality (lemma 2.2) (94) turns into
(60) | ||||
(61) |
for some constant changing from line to line. For small enough, this eventually gives the coercivity estimate
(62) |
for some constants independent of .
As a consequence of the coercivity estimate, the bilinear form satisfies the assumptions of the Lax–Milgram theorem, and there exists a bounded linear operator associating each functional in to its unique representative in the bilinear form on . Thus verifies
and it is the required unique solution . Moreover, induces a compact operator by the compact Sobolev embedding theorem. The remaining claims follow from the spectral theorem of compact operators for and from the Fredholm alternative as in [18]. ∎
By the above lemma 3.4, both problems (37) and (39) have a countable set of Dirichlet eigenvalues. Throughout the paper we will assume that the coefficients are such that is not a Dirichlet eigenvalue for either of the problems. That is, we assume that
(63) |
and
(64) |
With this in mind, we shall define the exterior DN maps associated to the problems (37) and (39). Consider the abstract trace space equipped with the quotient norm
and its dual space .
Definition 3.5.
Let be a bounded open set. Let and such that , and let . The exterior DN maps and are
and
where are the unique solutions to the equations
and
with .
The next lemma proves that the exterior DN maps and are well-defined and have some expected properties:
Lemma 3.6 (Exterior DN maps).
The exterior DN maps and are well-defined, linear and continuous. Moreover, the identity holds.
Proof.
We show well-definedness and continuity only for , the proof being similar for . We note that the required unique solutions exist by lemma 3.4.
If , then , and also , both solve in . By unicity of solutions, we must then have that and coincide. On the other hand, if , then . These two facts imply the well-definedness of , since
The continuity of is an easy consequence of lemma 3.2 and the estimate in lemma 3.4. If and , then
By taking the infimum on both sides with respect to and , we end up with
The well-posedness result proved above implies that for all we have , where is a generic extension of from to . In particular, . By lemma 3.2 this leads to
which conlcudes the proof. ∎
Remark 3.7.
We should observe at this point that a priori has no reason to be the adjoint of , as the symbols would suggest. However, the identity we proved in lemma 3.6 shows that this is in fact true, and thus there is no abuse of notation.
3.2. Proof of injectivity
The proof of injectivity is based on an Alessandrini identity and the Runge approximation property for our operator, following the scheme developed in [18].
Lemma 3.8 (Alessandrini identity).
Let be a bounded open set. Let and such that . For , let . For any , let respectively solve
and
Then we have the integral identity
Proof.
The proof is a simple computation following from lemma 3.6:
Lemma 3.9 (Runge approximation property).
Let respectively be a bounded open set and a non-empty open set such that . Let and be such that , and let . Moreover, let where solves
and where solves
Then and are dense in .
Proof.
The proofs of the two statements are similar, so we show only the density of in . By the Hahn-Banach theorem, it is enough to prove that any functional acting on that vanishes on must be identically . Thus, let and assume for all . Let be the unique solution of
(65) |
In other words, is the unique function in such that for all . Then we can compute
(66) | ||||
(67) | ||||
(68) |
On the first line of (66) we used that and solves the equation in , and on the last line we used the support condition for . By the arbitrariety of we have obtained that in , and on the same set we also have . Using the unique continuation result for the higher order fractional Laplacian given in lemma 2.1 we deduce on all of . The vanishing of the functional now follows easily from the definition of . ∎
Remark 3.10.
We remark that using the same proof one can show that and are dense in , where is the restriction to . If , then induces an element in via the integral , where . Hence one can choose the solution in equation (65) with as a source term and complete the proof as in equation (66) showing that in (similarly ).
We are ready to prove the main result of the paper.
Proof of theorem 1.1.
Step 1. Since one can always shrink the sets and if necessary, we can assume without loss of generality that . Let . By the Runge approximation property proved in lemma 3.9 we can find two sequences of functions , , such that
where respectively solve
and
and in as . By the assumption on the exterior DN maps and the Alessandrini identity from lemma 3.8 we have
(69) |
On the other hand, the support conditions imply that
(70) | ||||
(71) |
Thus by taking the limit and using lemma 3.2, we obtain
(72) |
by formula (69).
Step 2. Assume that we have for all such that for some . We show that the equality of the coefficients also holds for for which , and this will prove the theorem by the principle of complete induction.
To this end, consider , and then take such that on supp. Recall that since is a multi-index and , the symbol is intended to mean . With this choice of , equation (72) becomes
(73) | ||||
(74) | ||||
(75) |
If , then there must exist such that . This is true also if with . In both cases we can compute
because . Therefore formula (73) becomes
which by the arbitrariety of implies also for for which .
Step 3. We have proved that for all of order . Since this entails , the proof is complete. ∎
4. Main theorem for bounded coefficients
We shall now study the case when the coefficients of PDOs are from the bounded spaces . It should be noted, however, that most of the considerations of the previous section still apply identically.
4.1. Well-posedness of the forward problem
We shall define the bilinear forms for the problems (37) and (39) respectively by (41) and (42), just as in the case of singular coefficients. These will turn out to be bounded in as well, but the proof we give of this fact is a fortiori different. Since now we assume that for , the duality pairing becomes an integral over .
Lemma 4.1 (Boundedness of the bilinear forms).
Let be a bounded Lipschitz domain and , such that . Let , with defined as in (4). Then and extend as bounded bilinear forms on .
Remark 4.2.
Since and , we also have that for small (see formula (4)).
Proof of lemma 4.1.
We only prove the boundedness of , as for one can proceed in the same way. If , then
(76) |
Since is a Lipschitz domain and , , we have . Therefore
(77) | ||||
(78) |
where is the Bessel potential and is an extension of from to such that and . Since , we may estimate the last term of (77) by the Kato-Ponce inequality given in lemma 2.3
(79) | ||||
(80) |
Substituting this into (77) gives
(81) | ||||
(82) |
given that both and hold by remark 4.2. Eventually we obtain
(83) | ||||
(84) | ||||
(85) |
Next we shall prove existence and uniqueness of solutions for the problems (37) and (39). The reasoning is similar to the one for the proof of lemma 3.4, but the details of the computations are quite different.
Lemma 4.3 (Well-posedness).
Let be a bounded Lipschitz domain and , such that . Let , with defined as in (4). There exist a real number and a countable set of eigenvalues such that if , for any and there exists a unique such that and
One has the estimate
The function is also the unique satisfying
in the sense of distributions in and . Moreover, if (63) holds then .
Proof.
Again it is enough to find unique such that , where . Consider and . Since , the interpolation inequality
holds. Using this and formula (81) we get, for a constant which may change from line to line,
(86) | ||||
(87) | ||||
(88) |
If instead , just by formula (81) we already have
Moreover, the two estimates above also hold for by the density of in . Now we use formula (46) again, but this time we choose
This leads to
(89) | ||||
(90) | ||||
(91) | ||||
(92) | ||||
(93) |
where and are constants changing from line to line and is defined by . Eventually
(94) | ||||
(95) | ||||
(96) |
where is a constant independent of and . By the higher order Poincaré inequality (lemma 2.2) (94) turns into
(97) | ||||
(98) |
for some constant changing from line to line. For small enough (notice that ), this eventually gives the coercivity estimate
(99) |
for some constants independent of . The proof is now concluded as in lemma 3.4. ∎
Assuming as in Section 3 that both (63) and (64) hold, by means of the above lemma 4.3 we can define the DN-maps just as in lemma 3.6.
Definition 4.4.
Let be a bounded open set. Let and such that , and let , with defined as in (4). The exterior DN maps and are
and
where are the unique solutions to the equations
and
with .
4.2. Proof of injectivity
We also arrive at the same Alessandrini identity and Runge approximation property which we get in lemmas 3.8 and 3.9.
Lemma 4.5 (Alessandrini identity).
Let be a bounded Lipschitz domain and , such that . Let , with defined as in (4). For any , let respectively solve
and
Then we have the integral identity
Lemma 4.6 (Runge approximation property).
Let respectively be a bounded Lipschitz domain and a non-empty open set such that . Let , such that . Let , with defined as in (4). Moreover, let , where solves
and , where solves
Then and are dense in .
With this at hand, we can prove the main theorem for bounded coefficients.
Proof of theorem 1.4.
The proof is virtually identical to the one of theorem 1.1, the unique difference being in the way the error terms of the Runge approximation are estimated. We make use of (81), which relied on the Kato-Ponce inequality instead of multiplier space estimates. The proof is otherwise completed as the proof of theorem 1.1. ∎
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