H\"older stably determining the time-dependent electromagnetic potential of the Schr\"odinger equation
Yavar Kian, Eric Soccorsi

TL;DR
This paper proves that the time- and space-dependent electromagnetic potential in the Schr"odinger equation can be stably reconstructed from boundary data, with H"older stability, improving upon typical logarithmic stability estimates.
Contribution
The paper establishes H"older stability estimates for the inverse problem of determining electromagnetic potentials in the Schr"odinger equation from boundary observations.
Findings
H"older stability estimates for electric and magnetic potentials
Unique determination of potentials from boundary data
Improved stability compared to logarithmic estimates
Abstract
We consider the inverse problem of determining the time and space dependent electromagnetic potential of the Schr\"odinger equation in a bounded domain of , , by boundary observation of the solution over the entire time span. Assuming that the divergence of the magnetic potential is fixed, we prove that the electric potential and the magnetic potential can be H\"older stably retrieved from these data, whereas stability estimates for inverse time-dependent coefficients problems of evolution partial differential equations are usually of logarithmic type.
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Hölder stably determining the time-dependent electromagnetic potential of the Schrödinger equation
Yavar Kian∗ and Eric Soccorsi∗
Abstract.
We consider the inverse problem of determining the time and space dependent electromagnetic potential of the Schrödinger equation in a bounded domain of , , by boundary observation of the solution over the entire time span. Assuming that the divergence of the magnetic potential is fixed, we prove that the electric potential and the magnetic potential can be Hölder stably retrieved from these data, whereas stability estimates for inverse time-dependent coefficients problems of evolution partial differential equations are usually of logarithmic type.
Keywords: Inverse problem, stability estimate, Schrödinger equation, time-dependent electromagnetic potential.
Mathematics subject classification 2010: 35R30, 35Q41.
††footnotetext:
∗
Aix Marseille Université, Université de Toulon, CNRS, CPT, Marseille, France.
1. Introduction
1.1. Statement of the problem
Let be a bounded, simply connected domain of , , with boundary . For , we consider the initial boundary value problem (IBVP)
[TABLE]
where is the Laplace operator , associated with the real-valued magnetic potential , i.e.
[TABLE]
and is a real-valued electric potential. Here and in the remaining part of this text, we denote by the gradient operator with respect to the spatial variable , the symbol (resp., ) stands for the Euclidian scalar product (resp., norm) in , and the divergence operator with respect to is represented by the notation .
For all and for being either or , we equip the functional spaces with the following norm
[TABLE]
and we write (resp., ) instead of (resp., ). Then, for all
[TABLE]
we establish in Proposition 2.1 below, that there exists a unique solution to (1.1) and that the mapping is continuous. As a corollary the Dirichlet-to-Neumann (DN) operator associated with (1.1), defined by
[TABLE]
where denotes the unit outward normal to at , is bounded. The main purpose of this paper is to examine the stability issue in the inverse problem of determining the electromagnetic potential from the knowledge of .
However, there is a natural obstruction to uniqueness in this problem, in the sense that the mapping is not injective. This can be seen from the identity
[TABLE]
arising from (1.2) with , which entails that for all . Therefore, if vanishes on then it is apparent that is the -solution to (1.1), where is substituted for . Consequently, it holds true that
[TABLE]
despite of the fact that does not coincide with whenever is not uniformly zero in . Otherwise stated, since the DN map (1.3) is invariant under the gauge transformation associated with , then it is hopeless to retrieve through and the best we can expect is to determine the gauge class of . Moreover, for any two gauge equivalent electromagnetic potentials and , there exists a unique such that we have and we notice for each for that the function is solution to the following elliptic system:
[TABLE]
Therefore, if the time-dependent electromagnetic potential can be determined modulo gauge invariance by then it is actually possible to recover itself provided the divergence is known.
1.2. What is known so far
Since inverse problems are of great interest in applied sciences, it is no surprise that the determination of coefficients in partial differential equations such as the magnetic Schrödinger equation under study in this article has attracted the attention of numerous mathematicians over the previous decades.
For instance, using the Bukhgeim-Klibanov method [14], Baudouin and Puel [2] proved Lipschitz stable identification of the time independent electric potential in the dynamical (i.e., non stationary) Schrödinger equation from a single boundary observation of the solution. Here the measurement can be performed on any subpart of the boundary fulfilling the geometric control property expressed by Bardos, Lebeau and Rauch in [1]. This condition was removed by Bellassoued and Choulli in [5], provided the electric potential is a priori known in a neighborhood of the boundary. We refer to [18] for the Lipschitz stable reconstruction of the magnetic potential in the Coulomb gauge class by a finite number of boundary measurements of the solution to the Schrödinger equation. More recently, in [12], Ben Aïcha and Mejri claimed simultaneous Lipschitz stable determination of the electric potential and the divergence free magnetic potential, from the same type of boundary data.
All the above mentioned results involve a finite number of boundary observations of the solution, performed over the entire time span. This is no longer the case in [6] where the magnetic field was stably recovered from the knowledge of the DN map associated with the dynamic Schrödinger equation. In the same spirit, Bellassoued and Dos Santos Ferreira proved stable identification of the electric potential by the DN map associated with the Schrödinger equation on a Riemannian manifold in [7]. This result was extended in [3] to simultaneous determination of the electric potential and the magnetic field. We also refer to [19, 23, 30] for an extensive treatment of similar inverse problems. We stress out that all the above results were established in a bounded domain and that the analysis carried out in [2] (resp. [5] and [6]) was adapted to the case of unbounded cylindrical domains in [8] (resp., [9] and [33, 34]).
All the above mentioned works are concerned with space-only dependent (i.e. time independent) coefficients. Actually, there is only a very small number of papers available in the mathematical literature, dealing with the inverse problem of determining time-dependent coefficients of the Schrödinger equation. For instance, it was proved in [20] that the DN map uniquely determines the time-dependent electromagnetic potential modulo gauge invariance. The stability issue for the same problem was examined in [17], where the time-dependent electric potential was logarithmic stably recovered from boundary observation for all times and internal measurement at final time, of the solution. More recently, in [11], this approach was adapted to the case of an electromagnetic potential with sufficiently small time independent magnetic part. To the best of our best knowledge, these two last articles are the only mathematical papers studying the stability issue in the inverse problem of determining time-dependent coefficients of the Schrödinger equation. Nevertheless, we point out that similar problems were addressed in [4, 10, 15, 16, 21, 22, 24, 25, 26, 28, 29, 31, 38, 37, 39] for either parabolic, hyperbolic, or even time-fractional diffusion equations.
1.3. Main result
The main result of this paper is the following Hölder stability estimate of the electromagnetic potential entering the Schrödinger equation in (1.1), with respect to the DN map.
Theorem 1.1**.**
Fix and for , let and satisfy the three following conditions:
[TABLE]
[TABLE]
and
[TABLE]
Then, there exist three positive constants, and , depending only on , and , depending only on , and , such that we have
[TABLE]
and
[TABLE]
In Theorem 1.1 and the remaining part of this article, the DN maps , , lie in the space of linear bounded operators from into and denotes the usual norm in .
1.4. Brief comments and outline
To the author’s best knowledge, Theorem 1.1 is the only result available in the mathematical literature claiming Hölder stable determination of space and time varying coefficients appearing in an evolution PDE (all the other existing stability estimates derived in this framework are at best of logarithmic type). Moreover, even if the identification of unknown coefficients depending on both time and space variable is of great interest in its own, it is worth mentioning that it can also be linked with the inverse problem of determining a nonlinear perturbation of a PDE. As a matter of fact it was proved in [16, 27] by mean of a linearization process that the semilinear term entering a nonlinear parabolic equation can be identified by solving the inverse problem of determining the time-dependent coefficient of a related linear parabolic equation. From this viewpoint there is no doubt that Theorem 1.1 is a useful tool for adapting this strategy to the case of semilinear Schrödinger equations.
The remaining part of this article is organized as follows. In the coming section, Section 2, we study the well-posdeness of problem (1.1) and we prove that the DN map (1.3) is well defined as a linear bounded operator from into . In Section 3 we build a set of geometrical optics solutions to (1.1) which are the main tool for deriving Theorem 1.1. Finally, the proof of the stability estimate (1.7) is presented in Section 4, whereas the one of (1.8) is given in Section 5.
2. Analysis of the forward problem
The main result of this section is the following existence and uniqueness result for the IBVP (1.1).
Proposition 2.1**.**
For , let and satisfy
[TABLE]
Then, for every , the system (1.1) admits a unique solution . Moreover, there exists a positive constant , depending only on , and , such that we have
[TABLE]
With reference to (1.3) and the continuity of the trace operator from into , Proposition 2.1 immediately entails the following:
Corollary 2.1**.**
Under the conditions of Proposition 2.1, the DN map is well defined by (1.3) and acts as a bounded operator from into .
The proof of Proposition 2.1 can be found in Section 2.3 by mean of an existence and uniqueness result for the IBVP (1.1) with homogeneous Dirichlet boundary condition and suitable source term, stated in Section 2.2. As a preamble, we recall that the sesquilinear form associated with the operator is -elliptic with respect to , uniformy in .
2.1. -ellipticity with respect to .
We define the magnetic gradient , associated with , by
[TABLE]
and for , we introduce the sesquilinear form
[TABLE]
Then, the Hölder inequality yields
[TABLE]
for every and , so we get
[TABLE]
with and .
2.2. Existence and uniqueness result
The proof of Proposition 2.1 essentially boils down to the following existence and uniqueness result for the following IBVP associated with a suitable source term :
[TABLE]
Lemma 2.2**.**
Let , and be the same as in Proposition 2.1 and let verify a.e. in . Then, the system (2.6) admits a unique solution satisfying
[TABLE]
for some positive constant depending only on , and .
Proof.
We proceed as in the derivation of [35, Section 3, Theorem 10.1] by applying the Faedo-Galerkin method. Namely, we pick a Hilbert basis of and consider an approximated solution of size of (2.6), of the form
[TABLE]
where the functions are defined in such a way that we have
[TABLE]
for all . Since then (2.9) admits a unique solution such that the function solves the following Cauchy problem for every :
[TABLE]
Here, for all and all , we have set with reference to (2.3)-(2.4)
[TABLE]
- The first part of the proof is to establish three a priori estimates for the functions and .
a) To this end, we fix and we multiply for each the first line of (2.9) by , sum up over , and infer from (2.8) that
[TABLE]
Taking the imaginary part of both sides of the above identity then yields
[TABLE]
Since , we get upon integrating the above identity over that
[TABLE]
Therefore, by Gronwall’s lemma, there exists a positive constant , depending only on , and such that we have:
[TABLE]
b) Similarly, by multiplying the first line of (2.9) by , summing up over , and applying (2.8) once more, we get that
[TABLE]
Upon taking this time the real part in the above identity, we find that
[TABLE]
which may be equivalently rewritten as
[TABLE]
Now, by integrating with respect to over , we obtain that
[TABLE]
Next, as , we get
[TABLE]
so that can be upper bounded with the aid of (2.5), (2.11) and (2.13), by the following expression
[TABLE]
where is a positive constant depending only on . From this, the two basic inequalities
[TABLE]
and
[TABLE]
and from the estimate (2.12), it then follows that
[TABLE]
Then, an application of Gronwall’s lemma provides a constant such that
[TABLE]
c) Further, we put for , integrate by parts in the first integral of (2.11) and obtain for all that
[TABLE]
This and (2.10) yield
[TABLE]
for all , where
[TABLE]
Next, multiplying the first line in (2.15) by and summing up over , lead to
[TABLE]
Therefore, we have
[TABLE]
Now, for each , we find upon integrating both sides of the above identity over that
[TABLE]
which, combined with (2.16), entails
[TABLE]
for some constant . Therefore, we have
[TABLE]
by Gronwall’s lemma, and consequently
[TABLE]
by (2.14), where is another positive constant depending only on , and .
- Having established (2.14) and (2.17), we turn now to showing existence of a solution to (2.6). This can be done in accordance with (2.14) by extracting a subsequence of , which converges to in the weak-star topology of . By substituting for in (2.9) and sending to infinity, we get that
[TABLE]
As a consequence, we have and hence . Further, due to (2.17) and the Banach-Alaoglu theorem, there exists a subsequence of which converges to in the weak-star topology of . Since for every then we necessarily have and thus . Further, by arguing in the exact same way as in the derivation of [35, Theorem 8.3 and Remark 10.2, Chapter 3], we get that . Moreover, for all fixed , we deduce from (2.18) that is solution to the elliptic boundary value problem
[TABLE]
As then we have and (2.7) follows directly from this, (2.4), (2.14) and (2.17).
Remark 2.3**.**
- a)
With reference to (2.12), we point out for further use that the solution to (2.2) satisfies the estimate
[TABLE]
for some constant depending only on , and . 2. b)
Let , and be the same as in Lemma 2.2, and let satisfy . Putting , and for , we see that we have
[TABLE]
if and only if is a solution to the system (2.6) where is substituted for . Therefore, by Lemma 2.2, there exists a unique solution to (2.19), and it is clear that verifies the estimate (2.7).
2.3. Completion of the proof of Proposition 2.1
In light of [36, Theorem 2.3, Chapter 4] there exists satisfying
[TABLE]
and
[TABLE]
for some positive constant , depending only on and . Therefore, the function
[TABLE]
verifies in . Let be the -solution to (2.6), associated with the source term defined by (2.21), which is given by Lemma 2.2. Then, is a solution to (1.1) and (2.2) follows directly from (2.7) and (2.20). Finally, we get that such a solution is unique by applying (2.2) with .
3. GO solutions
In this section we build appropriate geometric optics (GO) solutions to the magnetic Schrödinger equation in , which are used in the derivation of the stability estimates of Theorem 1.1, presented in Sections 4 and 5.
Namely, given and , , fulfilling the conditions (1.4)-(1.6), we seek a solution to the magnetic Schrödinger equation
[TABLE]
of the form
[TABLE]
Here and are arbitrarily fixed and the remainder term in the asymptotic expansion of with respect to , scales at most like as , in a sense that we will make precise below. Moreover, we impose that and be in , and that they satisfy
[TABLE]
and
[TABLE]
The two conditons in (3.3) can be understood from the formal commutator formula , entailing
[TABLE]
in . This and (3.1)-(3.2) lead to defining by
[TABLE]
and by
[TABLE]
The initial condition in (3.5) and the final condition in (3.6) are imposed in such a way that the product vanishes at both ends of the time interval .
The first step of the construction of the functions , for , involves extending the two magnetic potentials and to as follows. First, we refer to [40, Theorem 5 in Section 3] and pick a magnetic potential which coincides with in and satisfies
[TABLE]
and the estimate
[TABLE]
for some positive constant depending only on and . Thus, putting
[TABLE]
we infer from (1.4) that . Moreover, it is clear from (3.7)-(3.8) upon possibly substituting for in (3.7), that
[TABLE]
The next step is to introduce two functions, the first one , being supported in , satisfies if and fulfills
[TABLE]
whereas the second one is defined for , and , by
[TABLE]
Here we have set (that is in and in ) in such a way that we have for all .
Now, a direct calculation shows that each of the two functions
[TABLE]
and
[TABLE]
is a solution to the first equation of (3.3) satisfying the condition (3.4). Further, it follows from this,(1.6) and (3.9)-(3.10) that
[TABLE]
where denotes a positive constant depending only , and , which may change from line to line, and is a shorthand for .
Similarly, using that any decomposes into the sum with and , it can be checked through standard computations that
[TABLE]
is a solution to the second equation of (3.3) obeying the condition (3.4). Further, by (1.6) and (3.9) we have
[TABLE]
and
[TABLE]
Having specified for , we turn now to examining the remainder term . We first infer from Lemma 2.2 (resp., Statement b) of Remark 2.3) that (resp. ) is well defined as the -solution to (3.5) (resp., (3.6)). Next, Statement a) in Remark 2.3 and (3.13) yield
[TABLE]
On the other hand, we know from (2.7) and (3.12) that
[TABLE]
Thus, interpolating with (3.14), we have and hence
[TABLE]
Analogously, we establish that
[TABLE]
Having built and , for , fulfilling (3.1)–(3.4), we are now in position to derive the stability estimates (1.7)-(1.8) of Therorem 1.1.
4. Proof of the stability estimate (1.7)
We stick to the notations of Section 3 and recall from (3.4) that
[TABLE]
The proof of (1.7) boils down to a suitable estimate of the Fourier transform of the function , presented in Lemma 4.2.
4.1. Estimation of the Fourier transform of
We start by proving the following technical estimate.
Lemma 4.1**.**
There exists a constant such that we have
[TABLE]
uniformly in .
Proof.
For , put in and let be the -solution to
[TABLE]
given by Proposition 2.1. In light of (3.1) the function then solves
[TABLE]
with . Next, by multiplying the first equation of the above system by and integrating by parts over , we deduce from (3.1) and (4.1) that
[TABLE]
Further, since and , we have in virtue of (1.4), and hence
[TABLE]
by Corollary 2.1, the continuity of the trace operator from into , (3.2) and the estimates (3.11)-(3.12).
On the other hand, we know from (3.2) that
[TABLE]
where
[TABLE]
Since by (3.15)-(3.16), it then follows from (4.5) that
[TABLE]
which, combined with (4.3)-(4.4), yields (4.2).
Having established Lemma 4.1 we may now estimate the Fourier transform of . We recall that the Fourier transform of a function is defined for all by
[TABLE]
Lemma 4.2**.**
There exists a positive constant , depending only on , and , such that the inequality
[TABLE]
holds for any .
Proof.
The estimate (4.6) being obviously true for , we will solely focus on the case . We use the decomposition , where and , and recall from (3.10) that we have , so we obtain
[TABLE]
Next, as we have
[TABLE]
by integrating by parts, (4.7) and the Fubini theorem entail
[TABLE]
Therefore, taking and applying Stokes formula to the above integral, we obtain
[TABLE]
which yields
[TABLE]
in virtue of (4.2).
Further, since in , by (1.5), then we have by direct calculation and hence
[TABLE]
for any orthonormal basis of . Finally, (4.6) follows directly from this upon applying (4.8) with for .
Having established Lemma 4.2, we are now in position to derive the stability estimate (1.7).
4.2. Completion of the proof
We start by estimating . Recalling from (1.4) that is supported in , we see that
[TABLE]
where, as usual, denotes . Next, for fixed, we put , use that , and obtain
[TABLE]
Therefore, we have
[TABLE]
where is a generic positive constant depending only on , and , which may change from line to line. Further, setting , we get
[TABLE]
and hence
[TABLE]
This and (4.9) yield
[TABLE]
On the other hand, putting , we derive from (4.6) for all , that
[TABLE]
which involves
[TABLE]
It follows from this and (4.10) that
[TABLE]
Further, by noticing that and taking advantage of the fact that the -valued function vanishes in , we get that . This entails and consequently
[TABLE]
by invoking (4.11). Now, the strategy is to choose as a power of so that , i.e. , and to do the same with , that is to take , in such a way that the three last terms in the right hand side of (4.12) are equal to . Evidently, as we have , by assumption, this requires that be fixed in . Summing up, we infer from (4.12) that
[TABLE]
Therefore, we get (1.7) with for all , where , upon choosing in (4.13), whereas for all . This achieves the proof of (1.7).
5. Proof of the stability estimate (1.8)
Here we use the definitions and notations introduced in Sections 3 and 4, unless for the function , which is no longer given by (3.10) but is rather defined by
[TABLE]
As this definition formally coincides with (3.10) in the particular case where is uniformly zero and , it is apparent that the estimates derived in Sections 3 and 4 remain valid with this specific choice of .
Thus, in light of (3.11)–(3.16) and (4.3)-(4.4), it holds true that
[TABLE]
Next, from the very definition of , we have
[TABLE]
by applying the Stokes formula. This, (3.11)–(3.16) and (5.1) yield
[TABLE]
On the other hand, we have
[TABLE]
whence
[TABLE]
Thus, applying the mean value theorem, we get that
[TABLE]
Plugging (5.3) into the above estimate, we find that
[TABLE]
The next step of the proof is to upper bound in terms of . To this end, we pick , apply the Sobolev embedding theorem (see e.g. [13, Corollary IX.14]) and find that . Interpolating, we obtain
[TABLE]
and hence
[TABLE]
with the help of (1.7). Inserting the above estimate into (5.4) then yields
[TABLE]
and (1.8) follows from this by arguing in the same way as in the derivation of (1.7) from (4.12).
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