Abstract
Researchers familiar with the state of the art are aware that the development of close-formed solutions for the EIT problem was not able to overpass the case of once-time differentiable conductivities beside the well known particular Astala–Päivärinta result for zero frequency.
In this paper, we introduce some new techniques for the inverse conductivity problem combined with a transmission problem and achieve a reconstruction result based on an adaptation of the scattering data. The idea for these techniques, in particular the concept of admissible points is coming from Lakshtanov and Vainberg. Moreover, we are going to establish the necessary groundwork for working with admissible points which will be required in any further research in this direction.
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1. Introduction
Consider
to be a bounded connected domain in
with a smooth boundary. The electrical impedance tomography (EIT) problem (e.g. [9]) concerns the determination of the admittivity in the interior of
, given simultaneous measurements of direct or alternating electric currents and voltages at the boundary
. If the magnetic permeability is negligible, then the problem can be reduced to the inverse conductivity problem (ICP), which consists of reconstructing a function
, via the known, dense in some adequate topology, set of data
, where

Here
is the unit outward normal to
,
, where
is the electric conductivity and
is the electric permittivity. If the frequency
is sufficiently small, then one can approximate
by a real-valued function.
Previous approaches for EIT with isotropic admittivity, which were in active use for the last three decades, can be divided in two groups: closed-form solution or sample methods where we refer to reviews [9] and [28] for further details as well as latest articles [3, 5–8, 11–14, 16–19, 20–23, 27, 29, 30]. These approaches do not fully coincide, for example the linear sampling method (LSM) allows the reconstruction of the parameter's jump location, but it assumes the medium is known outside of the jump. An example of a weak point for the actual closed-form methods, i.e. complex geometric optics (CGO) methods, is that they do not allow for the presence of impenetrable obstacles anywhere inside the medium.
Another problem which appears in the case of complex conductivities is the existence of exceptional points, i.e. non-trivial scattering solutions to the Lippmann–Schwinger equation—roughly speaking, points where the solution for a given spectral parameter is not unique. Most methods for the inverse conductivity problem require the condition that such exceptional points cannot occur (see, for example, [25]). First ideas on how to handle the case of exceptional points appear in [26] and further in [21, 22].
For several years Lakshtanov and Vainberg had a parallel work with Armin Lechleitner on topics like interior transmission eigenvalues, inside–outside duality and factorization methods. In autumn of 2016 Armin wrote to them '...I'm actually not sure whether it pays off to develop these sampling methods further and further but I would be more interested in having methods for background media. We might try to continue our work in this direction, or towards Maxwell's equations, if this makes sense to you...'. Although, the factorization methods are quite stable relatively to measurement errors, they fail if the outside medium is not known exactly but approximately. Armin Lechleitner obtain several results in this direction, e.g. [12, 16]. In turn, Lakshtanov, Novikov and Vainberg also got some closed-form reconstruction/uniqueness results [21, 22]. Furthermore, Lakshtanov, and Vainberg got a feeling that LSM and CGO methods can be applied simultaneously to reconstruct the shape of the jump even if the potential is unknown. This lead to the new ideas being presented in the current paper, first among them the concept of admissible points. It is our believe that this concept will be an important step on how to proceed in the case of non-zero frequencies.
The author would like to point out that the main ideas in this paper are from Lakshtanov and Vainberg who due to life circumstances were unable to pursue this line of research. The author is deeply indebted to them for allowing him to work out the details.
As the methods for 2D and 3D are quite different even at the level of Faddeev Green function analysis, we focus our analysis on the 2D case only. Although, future plans are to extend the machinery we will present in order to obtain similar results in the 3D case. Moreover, in this paper we treat the isotropic case for complex conductivities with a jump. Recent results on the anisotropic case with real piecewise constant conductivities can be found in [2, 4]. One further extension of our approach could be to consider the anisotropic case with complex conductivities based on the previously mentioned works.
We suppose that the conductivity function
is somehow smooth (to determine later) except in a closed contour
. Let
be the trace of
at the exterior part of the
and
be the trace at the interior part. By
we denote the interior part of
.
Under our assumption on
we look at solutions of the problem (1) which are quite smooth in each domain,
and
and satisfy the following condition at

The purpose of this approach is to establish a new method to overcome the limitation of Lipschitz conductivities in the current literature. In particular, we have in mind the handling of cases where separation of tissues is an important issue, like in detection of nodules through medical imaging.
The reconstruction procedure of
starts by converting the conductivity similarly to [10] and [15]. Let u be a solution of (1) but only on the domain
satisfying the transmission condition above (2). Below z denotes a point in the complex plane and
is a domain in
. Let
. Then the pair

satisfies the Dirac equation

with the potential q defined also in
by

where we extend, as usual,
to the outside of
by setting
. On
, the pair
satisfies a transmission condition for the Dirac equation which is derived from the previous one and we show it below.
Thus, it is enough to solve the inverse Dirac scattering problem instead of the ICP. If it is solvable and q can be found then the conductivity
is immediately obtained from (5), up to a constant. In order to complete the reduction of the ICP to the inverse Dirac problem, one needs only to obtain the scattering data for the Dirac equation via the set of data 
In fact, the scattering data for the Dirac equation can be obtained by simple integration of its Dirichlet data against the conjugate of an entire function U, which is related to the new set of complex geometric optic asymptotics, i.e. for a spectral parameter
and w a certain type of point to be introduced, we have the scattering data to be define by

In this paper we give a reconstruction formula of the potential q in the so-called admissible points (see theorem 3.5). We announce the result here in terms of a uniqueness theorem first since it does not require the introduction of the formal definition of the scattering data. We assume that
is well defined in the whole complex plane, by assuming that the real part of the conductivity has a positive lower bounded.
We have to remark that, in fact, we are going to present only a partial result, given that we cannot yet reconstruct, and show uniqueness of, the potential q in the whole of
. Our proof is based on a new concept, that is based on a specific set of points, which we now define:
Definition 1.1. We say that a point
is an admissible point if there is a number
such that

Moreover, if w is an admissible point and the constants A and B fulfills
with
, we further say that w is a proper admissible point.
The main theorem of this chapter will be obtained using this novel idea. Even though the proof follows by reconstruction, we give here the uniqueness theorem without introducing the scattering data first, given that this will be related with new CGO incident waves.
Theorem 1.2. Let
be a bounded Lipschitz domain in the plane, and let
such that
. If
is small enough on
, we have that the Dirichlet-to-Neumann map
determines the conductivity
uniquely in any proper admissible point.
Hereby, we want to point out that the Dirichlet-to-Neumann map determines the scattering data uniquely can be proven similarly to [22] (see section 4).
Now, theorem 3.5 will even provide a reconstruction formula for the potential q in so-called proper admissible points. This is an improvement of previous existent methods insofar as a convenient enlargement of the set of CGO incident waves allows to highlight the desirable areas around such points. Thus, this article provides a 2D reconstruction result for complex conductivities which are discontinuous on a contour which, although being apparently a rather weak result, cannot possibly be obtained by any previous technique, at least that we know of, and represents a first step in this direction. In fact the main goal of the article is to show the viability of the presented approach. In this manner, all our efforts are to present the main tools for this approach, leaving other questions like, stability of determination as in [1], many contours and geometry of admissible points, to future work.
We also want to point out that our definition of admissible point is not sharp, i.e. it can be made sharper by considering higher regularity of the conductivity outside the curves of discontinuities
.
Several technical problems need to be solved and presented now in order to facilitate the subsequent study. These include: the right choice of the functional space, a set of admissible points (essential to the reconstruction), and the enrichment of the set of CGO incident waves (i.e. we use solutions like
which highlight desirable areas). The latter solutions are unlimited even after the CGO-Faddeev normalization and we are required to obtain two-dimensional Laplace transform analogues of the Hausdorff–Young inequality to derive our reconstruction formula.
The paper is organized as follows: in section 2 we recall necessary facts on the transmission condition and the construction of the Lippmann–Schwinger equation for CGO-Faddeev solutions in our case. In section 3. we introduce the necessary function spaces as well as related lemmas. We present the novel concept of admissible points (see definition 1.1) based on a convenient enrichment of the set of CGO incident waves and we study the scattering data and reconstruction of the potential in these type of points. We finalize this section with two subsections containing some more necessary results and the proof of our main theorem. For the sake of readability we placed some additional results together with its proofs in an appendix.
2. Main construction
2.1. Transmission condition
We denote by
the unit outer normal vector in
and on the complex plane by
. During the paper we consider two orientations for the contour
: positively oriented
(curve interior
is to the left) and negatively oriented
(curve interior is to the right).
Lemma 2.1. The transmission condition (2) implies the following condition to the Dirac equation on

where
.
Proof. Let
be a unit tangential vector to
. From the first equation of (2) follows for the tangential derivative that
and, therefore,

where
. Moreover, during this proof and to simplify the computations we denote the normal derivative as
. From the second equation of (2) we get
, where
denotes the normal derivative of
, so that

Note that we have now



These relations take the matricial form

Using (7) and (8), together with the definition of
we obtain the relation

These two previous displayed equations allows us to complete the proof of the lemma. ![]()
2.2. The Lippmann–Schwinger equation for CGO-Faddeev solutions
Consider the vector
which satisfies (4) and the following asymptotic

where
is an entire function with respect to the parameter z.
We denote

Further, we introduce some matrix functions that will establish a integral equation for
.
Due to (4), this functions fulfill the following equation on
:

On the contour
they fulfill a transmission condition similar to (6), with the right-hand side being substituted by

where
and
are the traces values of
taken from the interior of
.
Through this we obtain an integral equation for
:
Proposition 2.2. Let
be a solution of (11) given as above through a function
which fulfills (4) and the asymptotics (9). Then
is a solution of the following integral equation:

where
with
and the
is given through the complex conjugate of the kernel
. The matrix
has the following form

where
are
extensions of
to
. Moreover, P is a projector

where
are the Cauchy projector and its complex adjoint, respectively:

Hereby, f is a function defined on the contour
.
Proof. We use the same approach as in [22]. The following Cauchy–Green formulas hold for each
and an arbitrary bounded domain
with smooth boundary:


Denote by DR a disk of radius R and centered at z, and take
. We recall, D is the interior part of
. Assume that
,
in both formulas, and
in (14) and
in (15). We add the left- and right-hand sides in formulas (14) and (15). Taking the transmission condition for
into account, we obtain for fixed w that

where
.
Noticing that
converges to U at infinity and since U is entire, then taking the limit
, it follows that the last term is
. In this way, by taking the limit, and reordering we obtain

This equation together with similar computations for
and showing the case for
(similarly by taking the adjoint Cauchy–Green formulas) we obtain the desired integral equation. ![]()
3. Technical details
3.1. The choice of the function space
Let
, R > 0 and
be a vector function.
To define our spaces we keep in mind the notation introduced in [23]. Denote by
the space of bounded functions of
with values in a Banach space B. Thus, picking
we introduce the first space

To simplify the notation ahead, we introduce the following function space:

where
is the Lebesgue measure in
(similarly we define
).
Following the idea of Hardy spaces and to obtain desirable properties at the contour
we define the second space through the projector P in (13) by:

where by
we mean the range of the matrix projector P with domain S. Hence we have that for
there exists a function
such that F = Pf and in
it fulfills F− = f . Moreover, this allows to consider this space with the norm

Finally, the space we are going to work with is given as
endowed with the norm

Let us remind that the operations of intersection and union of two Banach spaces are correctly defined if all terms can be continuously embedded into a common locally convex space. In our situation this common locally convex space will be a space endowed with the semi-norms

If
the embedding is evident. For
we have

so that
and

The boundedness of each semi-norm follows from the continuity of the embedding of
into
.
Lemma 3.1. The operators
are bounded in the space with norm

Proof. During the proof the sign
in the projectors will be omitted. From the continuity of Cauchy projectors in
follows

and therefore

Finally

![]()
Proof. From the definition of
, combined with the fact that u is a continuous function, we get

Since
is a bounded set, the Lp norm does not exceed (up to a constant) the
norm and, therefore

Now we just note the left-hand side of the above inequality is the norm
norm. ![]()
3.2. Analysis of the Lippmann–Schwinger equation
Multiplying equation (12) by
we get

where

Lemma 3.3. Let
and
in
. Then the operators
are bounded in
.
Moreover, if R > 0 is large enough they are contractions and if
is small enough in
then
is a contraction in
.
Proof. In order to estimate
and
(recall definition 18) we consider the representation
where the infimum is (almost) achieved. It is easy to see that the desired estimate follows from the fact that these operators are a contraction in each of the spaces,
and
. This fact can be shown as follows.
In lemma 2.1 of [23] it was proved that the operator
is bounded in
. The proof that it is also a contraction in
and the statement for
follows in a similar manner.
Hereby, we show the case for
. By definition we have

where

By following a similar estimation on the proof of lemma 2.1 of [23] we obtain by the stationary phase approximation:

Thus

Then, we have for

where we used the fact that
is the same as
. The final estimate follows from the definitions of both spaces and the above uniform bound on Gi.
If we take R > 0 large enough then it follows that
and
are contractions in
as long as
is finite.
By the definition of
the boundedness of
follows from the usual Lp boundedness. Since this operator will not have the same dependence on
as the others we need the jump to be close enough to 1 so that the supremum norm in z of
on
is small enough and possibilitates the norm of the whole operator to be less than 1.
A rough estimate for this norm is given in terms of the jump by:

where
is an upper bound for
. Hence for
to be a contraction on
we need that

![]()
3.3. Enrichment of the set of CGO incident waves
Let
be a fixed point. For the asymptotics (9) we can take any entire function. In our approach, we take this entire functions to be:

where
and
is a parameter.
These functions lead us to the concept of admissible points.
We recall here their definition: we say that a point
is an admissible point, if there is a number
such that

Moreover, if w is an admissible point and A and B fulfills
with
, we further say that w is a proper admissible point.
Note. The set of admissible points is not empty. In order to see this we consider a boundary point
which belongs also to the convex hull of
. It is easy to see that all interior points
near the w0 would be admissible.
We will not try to give a general geometric description of admissible points. Instead, we are only aiming to show the viability of the concept.
Denote

where
is defined in (10).
The vector f satisfies the equation

We know already that for R > 0 large enough the operator in the left-hand side of this equation is a contraction in
and below we show that in fact we have for the right-hand side:

Therefore, we get the following statement
Lemma 3.4. For any p > 2 and R large enough such that U is given in terms of a proper admissible point w we have

Proof. We start by showing that

and

Since M is a contraction for R > 0 big enough we are going to obtain (25) and the result will immediately follows for p > 2.
To show (27) we refer to the following simple estimate

For the second statement we need to dismantle M into its various parts and show that the statement holds for each one of them. The trick is always the same, so we will only show one of the computations, namely the one corresponding to the term
. By lemma 3.6 we get

Thus, the result (25) follows, and in consequence also (26) holds from (23) and (24). ![]()
3.4. Scattering data and reconstruction of the potential in admissible points
Let
be an admissible point. We consider the function

where the number
is chosen as

A point w can be admissible to more than one spectral parameter. To define the scattering data we want to use the above exponentials depending on
. Since
fulfills an asymptotic with the spectral parameter being
we also define our scattering data with respect to this spectral parameter, i.e.
. However, this is not a requirement and
could have been one of the other parameters which makes w admissible. We just fix it like this to simplify the proofs ahead.
Consider now our scattering data

Using Green's theorem

we can see that

This formula gives raise to an operator that we denote by T and it is defined by

From our representation for the solution
(23) and the fact that the matrix
is off-diagonal we get

This allows us to state our main theorem.
Theorem 3.5. Let the potential q being given through (5) for an admittivity
satisfying
and
. If the jump
is small enough in
, and w is a proper admissible point for a spectral parameter
, then

The proof of this theorem requires some additional results concerning the behavior of
These results will be given in the form of three lemmas which we establish in the next section.
3.5. Necessary results for the proof of theorem 3.5
We start by presenting a result which we need afterwards. For its proof we refer to appendix A. Consider two arbitrary numbers
, denote
, and let ![$A_0=\sup_{z \in {\mathcal O}}\, {\rm Re}[ \lambda_0(z-w){}^2].$](https://cdn.iopscience.com/images/0266-5611/36/2/024002/Full/ipab5494ieqn207.gif)
Lemma 3.6. Let
,
and
with compact support. Then

where the constant C depends only on the support of
and on
.
To study the main term in (32), we have the following lemma.
Lemma 3.7. Let
, and
, where
is a domain in
and
such that

Then the following asymptotic holds

where
.

where
is an a priori chosen arbitrarily small but fixed number. Furthermore, we pick two functions
and
with supports I1 and I2, respectively, such that
in
. Moreover, we assume that
is represented as a product of
and that the function
decreases monotonically as
grows.
The integrand is multiplied by
and this naturally splits the integral into two terms. The term corresponding to
can be integrated by parts once and then the required estimate follows from the Hausdorff–Young inequality (B.1) for p = q = 2. We also use here the fact that the inequality (33) is strict.
Now, we consider the term corresponding to integration against
. This term will be divided into two parts as well correspondent to the representation

Keeping in mind the properties of
and the fact that
is a Lipschitz function the second part can be treated as in lemma 3.6, i.e. we make a change of variables u = (z − w)2 and thus
. From this we obtain two integrals due to the splitting of the domain. In each one of them the change of variables generates a singularity of total order
. In both integrals we can apply integration by parts. We will obtain an area integral and a contour integral. On the area integral we have a singularity of total order |u|3/2. Hence, we can apply Hausdorff–Young inequality for the Laplace transform for p = 4/3 and obtain here the required estimate. For the contour integral we can apply the one-dimensional Hausdorff-inequality to the Laplace transform and obtain the needed estimate.
To the first part we consider the change of variables
. Due to the separation of variables in
the asymptotic of

follows from the formula

This can be proven in the following way: consider the change of variables

then, we have


For the second term we obtain



We used here the fact that the last integral is absolutely convergent (g has a finite support) and

Therefore, we get

Now the result of our lemma is an immediate consequence of this formula. ![]()
To prove our asymptotic formula of the scattering data, we will substitute
with the help of (23). This will leave some terms which need to vanish as
in order to obtain the desired formula through lemma 3.7. In this sense, the two lemmas that follow assure this remaining terms are integrable in
and, therefore, their impact vanishes as we take the limit.
Lemma 3.8. For some p < 2, with R large enough and f defined as in (23), we get

and

Proof. Given the structure of
and that
is a linear operator, it is enough to show that each term applied to both,
and
, belongs to
.
We look directly at the computations of each term. By using Fubini's theorem, Minkowski integral inequality, Hölder inequality, and lemma 3.6 we can show that all of these terms are in fact in
. Since the computations for each term follow roughly the same lines, and for the convenience of the reader, we present just the computation in one of these cases, the computations of the remaining terms being analogous, with special attention to the convergence of the integrals.
We look at the term

Let us denote
and
.

With these calculations we obtain (38). To show (39) we have that
, for p > 2, by lemma 3.4. We consider T applied to each term of M. Again, we present only the computations for the case
, since the other computations are analogous, with special attention to the behavior of
. In the same spirit, we only present the calculation for the first term of the vector.

The boundedness of the last integral follows from the fact that
implies its boundedness with respect to the z variable. ![]()
Lemma 3.9. For R large enough, and w being a proper admissible point, we have


into two pieces, according to the decomposition of
given by formula (23), that is

By lemma 3.4 we have that
, for any p > 2. Therefore, we apply (41) to (40) and we split the integral into I1 and I2, according to the order in (41).
Since, by assumption, w is an admissible point there exists a
fulfilling the inequality ![$\sup_{z \in \overline{\mathcal{D}}}\, {\rm Re}[\lambda_s(z-w){}^2] < -1/2.$](https://cdn.iopscience.com/images/0266-5611/36/2/024002/Full/ipab5494ieqn256.gif)
So, for
we get

where we choose
(recall, A < 1/2). Hence, we obtain

Integrating with respect to the spectral parameter, we have for R > 0 large enough

Therefore, by lemma 3.4 the second norm is finite for p > 2. We now pick q such that
, which is always possible given that
. Hence, I2 is in 
Now, we look at I1. By definition we have

Again, integrating against the spectral parameter we get:

where we use Fubini's theorem and Hölder inequality, with p > 2 small enough so that the first norm is finite as in the computation of I2.
Now, we can use lemma 3.6, given that we assume that our potential Q has support in O and it is in
, to obtain a constant C > 0 depending only on the support of the potential and on a certain
:

Given that the last integral is finite, we have
and the desired result follows. ![]()
3.6. Proof of theorem 3.5
Now we can present the proof of our main theorem, using the lemmas of the previous section while paying close attention to how
and f are defined.
Proof. Let us start by taking a look at the following term

From (23) we have

whereby f is a solution of

This leads to
Therefore, by (44) and the definition of the operator T, we get

We need to study the terms
. By lemma 3.8, we have for p < 2 and R large enough that

From lemma 3.9, we obtain

Hence, we just need to analyze the behavior of the last term.

where we did a simple change of variables. We define

Given that the conditions of lemma 3.7 are fulfilled, we obtain

which by substitution implies

By lemma 3.7, we have
.
So finally we are ready to evaluate the left-hand side of (32):

From this we get the desired asymptotic:

4. Scattering data for Dirac equation via the Dirichlet-to-Neumann map
Our next goal is to establish a relation between the Dirichlet-to-Neumann map for equation (1) and the traces of the solutions of (4) on
. Let

Let
be a solution of (1) with
. Consider
. Then, formally

where
is the co-normal D-t-N map and
is the operator of the tangential derivative. Inverting we get

We normalize
in such a way that

Then (48) could be rewritten as a boundary relation

Let us show the generalization of [19, theorem 3.2], where
, to the case of non-continuous
.

Proof. First we show that any pair
that satisfies the boundary relation above is in
. Consider a solution
of (1) with the boundary condition

Since
and
is separated from zero, it follows that
. Then, both components of the vector
belong to
and
satisfies (4). The fact
follows from (47) and (49).
Conversely, we start with a solution
of (4) satisfying (6) on
. From (4) and (5) the following compatibility condition holds on

The Poincaré lemma ensure the existence of a function u such that

It is easy to check that u is a solution to (1) on
and belongs to
. Moreover, through the Poincaré lemma and (6) it satisfies the transmission condition (2). Then, (47)–(49) proves that
satisfies the boundary relation stated in the theorem. ![]()
Denote

This integral is understood in the sense of principal value.
A future idea to explore is to determine conditions on how to find the trace of
at
. A hint to this is given in [19, theorem III.3.] for
, although in here the exponential growing solutions are of the type
.
In this sense, we state a conjecture that we would like to prove, in future work, for our method:
Conjecture 4.2. The only pair
which satisfies



is
, where
are the solutions of the Dirac equation (4) satisfying the asymptotics (9).
Acknowledgments
This work was supported by Portuguese funds through CIDMA—Center for Research and Development in Mathematics and Applications and the Portuguese Foundation for Science and Technology ('FCT–Fundação para a Ciência e a Tecnologia'), within project UID/MAT/04106/2019.
: Appendix A. Laplace transform analogue of the Hausdorff–Young inequality
Here we show the proof of lemma 3.6, which corresponds to the application of the Laplace transform analogue of the Hausdorff–Young inequality. This lemma stems from conversations and discussions with Sadov [24]. Our deep thanks.
We need to recall some statements on the Laplace transform.
The following results hold (see [24]): consider the map

where s > 0 is the arclength of a contour
.
Theorem 7 from [24] claims that
is a bounded operator from
to
, where
and 1/p + 1/q = 1. Moreover, the norm of this map is bounded uniformly in the class of convex contours.
Now we consider only contours such that
for s
1. This means that the spaces Lp ,p > 1 for the variable s > 0 and for variable
are equivalent. We now prove that the result of the Hausdorff–Young inequality is valid for the following map on the plane:

namely we prove that for some fixed domain D and constant
we have

Proof. Consider the function
:

and note that by Hausdorff–Young inequality we get

For the sake of simplicity we omit all positive constants here and in further inequalities. We claim that
and we prove this fact later. Accepting this claim and using the above mentioned theorem from [24] we get

Further we use the notation
for
. Now we are ready to estimate
:

First we apply the integral form of the Minkowski inequality, and then (A.3). Hence, we get


This proves (A.1). Now let us show that
. From Minkowski inequality we get

Since f has finite support, then the function
has finite support too. Let us denote by C1 the length of its support. Therefore

![]()
Appendix B.: Proof of lemma 3.6
The following lemma represents a generalization of lemma 3.2 from [23]. Consider
, denote by
, and let
For convenience we recall lemma 3.6:
Lemma. Let
, p > 2 and
. Then

where the constant C depends only on the support of
and on
.
Proof. Denote by
the integral on the left-hand side of the inequality above. In order to have non-positiveness of the real part of the phase we make a change of variables u = (z − w)2 in F and take into account that
. Then

Now, we consider a new change of variable
, where

and apply the Hausdorff–Young inequality for the Laplace transform on a contour (A.1). The result on lemma 3.6 follows immediately from [23], lemma 3.1 which we recall here for the reader's convenience
[23, Lemma 3.1] Let
. Then the following estimate is valid for an arbitrary
and some constants
and
:

![]()
References
- [1]Alessandrini G 1988 Stable determination of conductivity by boundary measurements Appl. Anal. 27 153–72
- [2]Alessandrini G, De Hoop M V and Gaburro R 2017 Uniqueness for the electrostatic inverse boundary value problem with piecewise constant anisotropic conductivities Inverse Problems 33 125013
- [3]Alessandrini G, De Hoop M V, Gaburro R and Sincich E 2017 Lipschitz stability for the electrostatic inverse boundary value problem with piecewise linear conductivities J. Math. Pures Appl. 107 638–64
- [4]Alessandrini G, De Hoop M V, Gaburro R and Sincich E 2018 EIT in a layered anisotropic medium Inverse Problems Imaging 12 667–76
- [5]Alessandrini G and Vessella S 2005 Lipschitz stability for the inverse conductivity problem Adv. Appl. Math. 35 207–41
- [6]Astala K, Faraco D and Rogers K M 2016 Unbounded potential recovery in the plane Ann. Sci. l’ École Normale Supér. 49 1027–51
- [7]Astala K and Päivärinta L 2006 Calderón’s inverse conductivity problem in the plane Ann. Math. 163 265–99
- [8]Blåsten E, Imanuvilov O Y and Yamamoto M 2015 Stability and uniqueness for a two-dimensional inverse boundary value problem for less regular potentials Inverse Problems Imaging 9 709–23
- [9]Borcea L 2002 Electrical impedance tomography Inverse Problems 18 R99
- [10]Brown R M and Uhlmann G A 1997 Uniqueness in the inverse conductivity problem for nonsmooth conductivities in two dimensions Commun. PDE 22 1009–27
- [11]Bukhgeim A L 2008 Recovering a potential from Cauchy data in the two-dimensional case J. Inverse Ill-Posed Problems 16 19–33
- [12]Bürgel F, Kazimierski K S and Lechleiter A 2017 A sparsity regularization and total variation based computational framework for the inverse medium problem in scattering J. Comput. Phys. 339 1–30
- [13]Cakoni F and Colton D 2003 The linear sampling method for cracks Inverse Problems 19 279
- [14]Cakoni F and Haddar H 2006 Analysis of two linear sampling methods applied to electromagnetic imaging of buried objects Inverse Problems 22 845
- [15]Francini E 2000 Recovering a complex coefficient in a planar domain from Dirichlet-to-Neumann map Inverse Problems 16 107–19
- [16]Gerken T and Lechleiter A 2017 Reconstruction of a time-dependent potential from wave measurements Inverse Problems 33 094001
- [17]Greenleaf A, Lassas M, Santacesaria M, Siltanen S and Uhlmann G 2018 Propagation and recovery of singularities in the inverse conductivity problem Anal. PDE 11 1901–43
- [18]Haberman B and Tataru D 2013 Uniqueness in Calderón’s problem with Lipschitz conductivities Duke Math. J. 162 497–516
- [19]Knudsen K and Tamasan A 2005 Reconstruction of less regular conductivities in the plane Commun. PDE 29 361–81
- [20]Lakshtanov E and Lechleiter A 2016 Difference factorizations and monotonicity in inverse medium scattering for contrasts with fixed sign on the boundary SIAM J. Math. Anal. 48 3688–707
- [21]Lakshtanov E, Novikov R and Vainberg B 2016 A global Riemann–Hilbert problem for two-dimensional inverse scattering at fixed energy Rend. Istit. Mat. Univ. Trieste 48 21–6
- [22]Lakshtanov E and Vainberg B 2016 On reconstruction of complex-valued once differentiable conductivities J. Spectr. Theory 6 881–902
- [23]Lakshtanov E, Tejero J and Vainberg B 2017 Uniqueness in the inverse conductivity problem for complex-valued Lipschitz conductivities in the plane SIAM J. Math. Anal. 49 3766–75
- [24]Sadov S Yu 2013 Characterization of Carleson Measures by the Hausdorff-Young Property Math. l Notes 94 551–58
- [25]Nachman A I 1996 Global uniqueness for a two-dimensional inverse boundary value problem Ann. Math. 143 71–96
- [26]Novikov R G 1992 The inverse scattering problem on a fixed energy level for the two-dimensional Schrödinger operator J. Funct. Anal. 103 409–63
- [27]Novikov R G and Santacesaria M 2013 Monochromatic reconstruction algorithms for two-dimensional multi-channel inverse problems Int. Math. Res. Not. 2013 1205–29
- [28]Potthast R 2006 A survey on sampling and probe methods for inverse problems Inverse Problems 22 R1
- [29]Serov V and Päivärinta L 2006 Inverse scattering problem for two-dimensional Schrödinger operator J. Inverse and Ill-Posed Problems 14 295–305
- [30]Tejero J 2017 Reconstruction and stability for piecewise smooth potentials in the plane SIAM J. Math. Anal. 49 398–420

