Simultaneous Identification of the Diffusion Coefficient and the Potential for the Schr\"odinger Operator with only one Observation
Laure Cardoulis (MIP), Patricia Gaitan (LATP)

TL;DR
This paper establishes a stability result for simultaneously identifying the diffusion coefficient and potential in a Schrödinger operator within an unbounded strip, using minimal boundary and temporal data.
Contribution
It provides the first stability estimate for jointly recovering two coefficients of a Schrödinger operator with limited boundary observations.
Findings
Proves stability for coefficient identification with one boundary observation
Demonstrates the feasibility of coefficient recovery with minimal data
Extends previous results to unbounded domains
Abstract
This article is devoted to prove a stability result for two independent coefficients for a Schr\"odinger operator in an unbounded strip. The result is obtained with only one observation on an unbounded subset of the boundary and the data of the solution at a fixed time on the whole domain.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNumerical methods in inverse problems · Advanced Mathematical Modeling in Engineering · Stability and Controllability of Differential Equations
Simultaneous Identification of the Diffusion Coefficient and the
Potential for the Schrödinger Operator with only one Observation
Laure Cardoulis and Patricia Gaitan Université de Toulouse, UT1 CEREMATH, CNRS, Institut de Mathématiques de Toulouse, UMR 5219, 21 All es de Brienne 31042 Toulouse, France Université d’Aix-Marseille, IUT Aix-en-Provence Avenue Gaston Berger 413 av Gaston Berger, 13625 Aix-en-Provence et LATP, UMR CNRS 6632, 39, rue Joliot Curie, 13453 Marseille Cedex 13, France
Abstract
This article is devoted to prove a stability result for two independent coefficients for a Schrödinger operator in an unbounded strip. The result is obtained with only one observation on an unbounded subset of the boundary and the data of the solution at a fixed time on the whole domain.
1 Introduction
Let be an unbounded strip of with a fixed width . Let be the outward unit normal to on . We denote and , where and . We consider the following Schrödinger equation
[TABLE]
where and are real-valued functions such that , and . Moreover, we assume that is bounded and and all its derivatives up to order two are bounded. If we assume that belongs to and , then (1.1) admits a solution in .
Our problem can be stated as follows:
Is it possible to determine the coefficients and from the measurement of on ?
Let (resp. ) be a solution of (1.1) associated with (, , , ) (resp. (, , , )). We assume that is a real valued function.
Our main result is
[TABLE]
where is a positive constant which depends on and where the above norms are weighted Sobolev norms.
This paper is an improvement of the work [10] in the sense that we simultaneously determine with only one observation, two independent coefficients, the diffusion coefficient and the potential. We use for that two important tools: Carleman estimate (2.5) and Lemma 2.4.
Carleman inequalities constitute a very efficient tool to derive observability estimates. The method of Carleman estimates has been introduced in the field of inverse problems by Bukhgeim and Klibanov (see [5], [6], [13], [14]). Carleman estimates techniques are presented in [15] for standard coefficients inverse problems for both linear and non-linear partial differential equations. These methods give a local Lipschitz stability around a single known solution.
A lot of works using the same strategy concern the wave equation (see [16], [3], [2]) and the heat equation (see [18], [12], [4]). For the determination of a time-independent potential in Schrödinger evolution equation, we can refer to [1] for bounded domains and [10] for unbounded domains. We can also cite [17] where the authors use weight functions satisfying a relaxed pseudo-convexity condition which allows to prove Carleman inequalities with less restrictive boundary observations.
Up to our knowledge, there are few results concerning the simultaneous identification of two coefficients with only one observation. In [11] a stability result is given for the particular case where each coefficient only depends on one variable ( and ) for the operator in an unbounded strip of The authors give a stability result for the diffusion coefficient and the potential with only one observation in an unbounded part of the boundary.
A physical background could be the reconstruction of the diffusion coefficient and the potential in a strip in geophysics. There are also applications in quantum mechanics: inverse problems associated with curved quantum guides (see [7], [8], [9]).
This paper is organized as follows. Section is devoted to some usefull estimates. We first give an adapted global Carleman estimate for the operator . We then recall the crucial Lemma given in [15]. In Section we state and prove our main result.
2 Some Usefull Estimates
2.1 Global Carleman Inequality
Let be a real-valued function in and be a real-valued function in such that
Assumption 2.1**.**
- •
, and all its derivatives up to order three are bounded,
- •
* and its derivatives up to order two are bounded.*
Let be a function equals to zero on and solution of the Schrödinger equation
[TABLE]
We prove here a global Carleman-type estimate for with a single observation acting on a part of the boundary in the right-hand side of the estimate.
Note that this estimate is quite similar to the one obtained in [10], but the computations are different. Indeed, the weigth function does not satisfy the same pseudo-convexity assumptions (see Assumption 2.2) and the decomposition of the operator is different (see (2.3)).
Let be a positive function such that there exists positive constants which satisfy
Assumption 2.2**.**
- •
,
- •
* and all its derivatives up to order four are bounded in ,*
- •
, for all
where
[TABLE]
Note that the last assertion of Assumption 2.2 expresses the pseudo-convexity condition for the function . This Assumption imposes restrictive conditions for the choice of the diffusion coefficient in connection with the function as in [10].
Note that there exist functions satisfying such assumptions. Indeed if we assume that , these conditions can be written in the following form:
[TABLE]
and
[TABLE]
For example with satisfy the previous conditions (with ).
Then, we define with and . For and , we define the following weight functions
[TABLE]
We set , for . Let be the operator defined by
[TABLE]
Following [1], we introduce the operators :
[TABLE]
Then
[TABLE]
where is the conjugate of , its real part and its imaginary part. Then the following result holds.
Theorem 2.3**.**
Let , , be the operators defined respectively by (2.2), (2.3). We assume that Assumptions 2.1 and 2.2 are satisfied. Then there exist , and a positive constant such that, for any and any , the next inequality holds:
[TABLE]
[TABLE]
for all satisfying Moreover we have
[TABLE]
[TABLE]
**Proof:
**We have to estimate the scalar product
[TABLE]
with
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Following [1], using integrations by part and Young estimates, we get (2.4). Moreover from (2.3) we have:
[TABLE]
So
[TABLE]
And we deduce (2.5) from (2.4).
2.2 The Crucial Lemma
We recall in this section the proof of a very important lemma proved by Klibanov and Timonov (see for example [14], [15]).
Lemma 2.4**.**
There exists a positive constant such that
[TABLE]
for all .
**Proof :
**By the Cauchy-Schwartz inequality, we have
[TABLE]
[TABLE]
Note that
[TABLE]
So, if we denote by , we have
[TABLE]
For the first integral of the right hand side of (2.6), by integration by parts we have
[TABLE]
[TABLE]
[TABLE]
Here we used for all and we obtain
[TABLE]
Similarly for the second integral of the right hand side of (2.6)
[TABLE]
Thus the proof of Lemma 2.4 is completed.
3 Stability result
In this section, we establish a stability inequality for the diffusion coefficient and the potential .
Let be solution of
[TABLE]
and be solution of
[TABLE]
where and both satisfy Assumption 2.1.
Assumption 3.1**.**
- •
All the time-derivatives up to order three and the space-derivatives up to order four for exist and are bounded.
- •
There exists a positive constant such that ,
- •
* is a real-valued function.*
Since is a real-valued function, we can extend the function (resp. ) on by the formula for every Note that this extension satisfies the previous Carleman estimate. Our main stability result is
Theorem 3.2**.**
Let and be solutions of (1.1) in such that . We assume that Assumptions 2.1, 2.2, 3.1 are satisfied. Then there exists a positive constant such that for and large enough,
[TABLE]
[TABLE]
[TABLE]
Therefore
[TABLE]
where the previous norms are weighted Sobolev norms.
**Proof:
**We denote by and , so we get:
[TABLE]
The proof will be done in two steps: in a first step we prove an estimation for and in a second step for
First step: We set Then from (3.7) is solution of
[TABLE]
where and
Then defining we get that satisfies
[TABLE]
where
Now let then is solution of
[TABLE]
where and are bounded functions.
If we denote by , then
[TABLE]
At last we define and satisfies
[TABLE]
where and are still bounded functions. Note that
Applying the Carleman inequality (2.5) for we obtain (for and sufficiently large):
[TABLE]
[TABLE]
[TABLE]
Note that , so from Lemma 2.4 we get
[TABLE]
[TABLE]
By the same way, we have
[TABLE]
[TABLE]
So (3.9) becomes
[TABLE]
[TABLE]
[TABLE]
Furthermore from (3.8) we have (with a positive constant)
[TABLE]
Therefore for sufficiently large, from Lemma 2.4
[TABLE]
[TABLE]
[TABLE]
Using (3.10) we get
[TABLE]
and then
[TABLE]
[TABLE]
Second step: By the same way we obtain an estimation of . We set
[TABLE]
Following the same methodology as in the first step, we obtain:
[TABLE]
[TABLE]
From (3.11) and (3.12) we can conclude.
Remark 3.3**.**
Note that the following function with satisfies Assumption 3.1. 2. 2.
This method works for the Schrödinger operator in the divergential form:
[TABLE]
We still obtain a similar stability result but with more restrictive hypotheses on the regularity of the function .
Acknowledgment: We dedicate this paper to the memory of our friend and colleague Pierre Duclos, Professor at the University of Toulon in France.
References
- [1] L. Baudouin and J.P. Puel, 2002, Uniqueness and stability in an inverse problem for the Schrödinger equation, Inverse Problems, 18, 1537–1554.
- [2] L. Baudouin, A. Mercado and A. Osses, 2007, A global Carleman estimate in a transmission wave equation and application to a one-measurement inverse problem, Inverse Problems, 23, 257–278.
- [3] M. Bellassoued, 2004, Uniqueness and stability in determining the speed of propagation of second order hyperbolic equation with variable coefficient, Appl. An., 83, 983–1014.
- [4] A. Benabdallah, P. Gaitan and J. Le Rousseau, 2007, Stability of discontinuous diffusion coefficients and initial conditions in an inverse problem for the heat equation, SIAM J. Control Optim., 46, 1849–1881.
- [5] A.L. Bukhgeim, 1999, Volterra Equations and Inverse Problems, Inverse and Ill-Posed Problems Series, VSP, Utrecht.
- [6] A.L. Bukhgeim and M.V. Klibanov, 1981, Uniqueness in the large of a class of multidimensional inverse problems, Soviet Math. Dokl., 17, 244-247.
- [7] B. Chenaud, P. Duclos, P. Freitas and D. Krejcirik, Geometrically induced discrete spectrum in curved tubes, Diff. Geom. Appl. 23 (2005), no2, 95-105.
- [8] P. Duclos and P. Exner, Curvature-Induced Bound States in Quantum Waveguides in Two and Three Dimensions, Rev. Math. Phys. 7, (1995), 73-102.
- [9] P. Duclos, P. Exner and D. Krejcirik, Bound States in Curved Quantum Layers, Comm. Math. Phys. 223 (2001), 13-28.
- [10] L. Cardoulis, M. Cristofol and P. Gaitan, 2008, Inverse problem for the Schrödinger operator in an unbounded strip, J. Inverse and Ill-posed Problems, 16, no 2, 127–146.
- [11] L. Cardoulis and P. Gaitan, 2009, Identification of two independent coefficients with one observation for the Schrödinger operator in an unbounded strip, to appear in Comptes Rendus Académie des Sciences.
- [12] O. Yu. Immanuvilov and M. Yamamoto, 2001, Global uniqueness and stability in determining coefficients of wave equations, Comm. Partial Diff. Equat., 26, 1409–1425.
- [13] M.V. Klibanov, 1984, Inverse problems in the large and Carleman bounds, Differential Equations, 20, 755–760.
- [14] M.V. Klibanov, 1992, Inverse problems and Carleman estimates, Inverse Problems, 8, 575–596.
- [15] M.V. Klibanov and A. Timonov, 2004, Carleman estimates for coefficient inverse problems and numerical applications, Inverse and Ill-posed series,VSP, Utrecht.
- [16] I. Lasiecka, R. Triggiani and P.F. Yao, 1999, Inverse/observability estimates for second order hyperbolic equations with variable coefficients, J. Math. Anal. Appl., 235, 13–57.
- [17] A. Mercado, A. Osses and L. Rosier, 2008, Inverse problems for the Schrödinger equations via Carleman inequalities with degenerate weights, Inverse Problems, 24, 015017.
- [18] J.P. Puel and M. Yamamoto, 1997, Generic well-posedness in a multidimensional hyperbolic inverse problem, J. Inverse Ill-Posed Probl., 1, 53–83.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] L. Baudouin and J.P. Puel , 2002, Uniqueness and stability in an inverse problem for the Schrödinger equation, Inverse Problems , 18, 1537–1554.
- 2[2] L. Baudouin, A. Mercado and A. Osses , 2007, A global Carleman estimate in a transmission wave equation and application to a one-measurement inverse problem, Inverse Problems , 23, 257–278.
- 3[3] M. Bellassoued , 2004, Uniqueness and stability in determining the speed of propagation of second order hyperbolic equation with variable coefficient, Appl. An. , 83, 983–1014.
- 4[4] A. Benabdallah, P. Gaitan and J. Le Rousseau , 2007, Stability of discontinuous diffusion coefficients and initial conditions in an inverse problem for the heat equation, SIAM J. Control Optim. , 46, 1849–1881.
- 5[5] A.L. Bukhgeim , 1999, Volterra Equations and Inverse Problems, Inverse and Ill-Posed Problems Series, VSP, Utrecht .
- 6[6] A.L. Bukhgeim and M.V. Klibanov , 1981, Uniqueness in the large of a class of multidimensional inverse problems, Soviet Math. Dokl. , 17, 244-247.
- 7[7] B. Chenaud, P. Duclos, P. Freitas and D. Krejcirik , Geometrically induced discrete spectrum in curved tubes , Diff. Geom. Appl. 23 (2005), no 2, 95-105.
- 8[8] P. Duclos and P. Exner , Curvature-Induced Bound States in Quantum Waveguides in Two and Three Dimensions , Rev. Math. Phys. 7, (1995), 73-102.
