Increasing stability for the inverse source problems in electrodynamics
Suliang Si
School of Mathematics and Statistics, Shandong University of Technology,
Shandong, 255049, China ([email protected])
Abstract
We are concerned with increasing stability in the inverse source problems for the time-dependent Maxwell equations in , where the source term is compactly supported in both time and spatial variables. By using the Fourier transform, sharp bounds of the analytic continuation and the Huygens’ principle, increasing stability estimates of the -norm of the
source function are obtained. The main goal of this paper is to understand increasing stability for the Maxwell equations in the time domain.
1 Introduction
1.1 statement of the problem
Consider the time-dependent Maxwell equations in a homogeneous medium
(1.1)
where E and H are the electric and magnetic fields, respectively, the source function is known as the electric current density, and are the dielectric permittivity and the magnetic permeability, respectively, and is the electric conductivity and is assumed to be zero.
Let .
Eliminating the magnetic field H from (1.1), we obtain the Maxwell system for the electric field E:
(1.2)
which is supplemented by the homogeneous initial conditions
(1.3)
In this work, we consider the following inverse source problems:
IP1:
Assume , where have compact supports such that supp f and supp where are constants. Then we concern the inverse problem of recovering the source term from the Dirichlet boundary data measured on .
IP2:
Assume for . The source function has compact supports. The inverse problem is to determine source term from the measurement , , .
IP3:
Assume , where the function and have compact supports. The inverse problem is to determine source term f from the boundary observation data , , .
1.2 Motivations
Motivated by significant applications, the inverse source problems, as an important research subject
in inverse scattering theory, have continuously attracted much attention by many researchers [1, 3, 22, 25, 34]. Consequently, a great deal of mathematical and numerical results are available, especially for
the acoustic waves or the Helmholtz equations. In general, it is known that there is no uniqueness for
the inverse source problem at a fixed frequency due to the existence of non-radiating sources [20].
Therefore, additional information is required for the source in order to obtain a unique solution, such as
to seek the minimum energy solution [29]. From the computational point of view, a more challenging issue
is the lack of stability. A small variation of the data might lead to a huge error in the reconstruction.
Recently, it has been realized that the use of multi-frequency data is an effective approach to overcome the
difficulties of non-uniqueness and instability which are encountered at a single frequency. The first increasing
stability result in [4] was obtained in a more particular case by quite different (spatial
Fourier analysis) methods. A topical review can be
found in [10] on the inverse source problems as well as other inverse scattering problems by using multiple
frequencies to overcome the ill-posedness and gain increased stability.
For electromagnetic waves, Ammari et al. [11] showed uniqueness and stability, and presented an inversion
scheme to reconstruct dipole sources based on a low-frequency asymptotic analysis of the time-harmonic
Maxwell equations. In [2], Albanese and Monk discussed uniqueness and non-uniqueness of the inverse
source problems for Maxwell’s equations. A monograph can be found in [31] on general inverse problems for
Maxwell’s equations. In [5], Bao et al. develop new techniques and establish an
increasing stability theory in the inverse source scattering problems for electromagnetic
waves. Due to the inverse source problem of electromagnetic waves, there is a phenomenon of increasing stability. A natural question is whether there is also some increasing stability in the inverse source problem of time-dependent Maxwell equations.
Thus the main goal of this paper is to understand increasing stability for the Maxwell equations in the time domain.
1.3 Known results
Inverse sourse problems have many significant applications in scientific and engineering areas. For instance, detection of submarines and non-destructive measurement of industrial objects can be regarded as recovery of acoustic sources from boundary measurements of the pressure. Other application include biomedical imaging optical tomography [1, 22], and geophysics. For a mathematical overview of various inverse source problems, we can see that uniqueness and stability are discussed in [22]. For inverse source problems in time domain, it is solved as hyperbolic systems by using Carleman estimate [26] and unique continuation; we refer to [12, 25, 34, 35] for an incomplete list. For time-harmonic inverse source problems, it is well-known that there is no uniqueness for the inverse source problem with a single frequency due to the existence of non-radiating sources [3, 20]. Therefore, the use of multiple frequencies data is an effective way to overcome non-uniqueness and has received a lot of attention in recent years. [16] show the uniqueness and numerical results for Helmholtz equation with multi-frequency data. And in [4], Bao et al. firstly get increasing stability for Helmholtz equation by direct spatial Fourier analysis methods. Then in [13], a different method involving a temporal
Fourier transform, sharp bounds of the analytic continuation to higher wave numbers were used to derive increasing stability bounds for the three dimensional Helmholtz equation. Also, [13] firstly combined the Helmholtz equation and associated hyperbolic equations to get the stability results. Later in [27] and [5], increasing stability were extended to Helmholtz equation and Maxwell’s equation in three dimension.
Motivated by those works, we are interested in the increasing stability for the time-dependent Maxwell equations. Since by Fourier transform, inverse source problem of the time-dependent Maxwell equations can be reduced to that of the associated Electromagnetic with multi-frequency data, we derive our increasing stability estimate by using sharp bounds of analytic continuation given in [13]. Instead of Cauchy data on measure boundary used in the works mentioned above, we use only Dirichlet data on the lateral boundary. For the uniqueness, we just prove it in time domain without Carleman estimate.
The rest of this paper is organized as follows. In Section 2 and 3, we state our main results and well-posedness of the direct problem. Sections 3 is devoted to the increasing stability of inverse problem 1. In Section 4, we prove general source terms in homogeneous medium. Section 5, we establish the increasing stability of general source term.
Finally, the increasing stability of time-dependent source term can be established by using the boundary Dirichlet data.
2 Main results
Let for .
We always assume that the source function is required to be real-valued, which implies that
for all
. In addition, we also assume that . It follows from that the source term can be decomposed into a sum of radiation and non-radiating parts. The non-radiating part cannot be determined and gives rise to the non-uniqueness issue. By the divergence-free condition of , we eliminate non-radiating sources in order to ensure the uniqueness of the inverse problem.
First we show increasing stability result for the time-dependent inverse problem (IP1).
Let , where is compactly supported in and is supported in for some .
It is supposed that and .
The one-dimensional Fourier transform of with respect to the time variable is defined as
We suppose there exist a number and a constant such that
(2.4)
Physically, the parameter in (2.4) is associated with the bandwidth of the temporal signal . The condition (2.4) covers a large class of functions. For example, if
with some and such that for , the one can always find the parameters and such that (2.4) holds true.
Since the source function is real valued, (2.4) holds true for all .
We remark that the interval in (2.4) can be replaced by for some . In this paper we take for simplicity. The condition (2.8) is also similar.
Define a boundary operator
(2.5)
where is the unit normal vector on .
In the following theorem, we establish increasing stability estimate of the -norm of f about .
Theorem 2.1.
Let the condition (2.4) hold and
let . Assume that is given and where is a constant. If , then there exists a constant depending on , , and such that
(2.6)
where .
Remark 2.2.
There are two parts in the stability estimates: the first parts are the data discrepancy, while this second parts comes from the high frequency tail of the function.
The coefficient appearing in the Lipschitz part of is polynomial type. However, since is fixed in practice, these coefficients are constants and do not pose any problem.
It is clear to conclude that the ill-posedness of the inverse time-dependent source problem decreases as the parameter increases. This is in consistent with the increasing stability results of [5] in the frequency domain: the ill-posedness decreases when the width of the wavenumber interval increases.
Next, we state the stability estimate for the second inverse problem (IP2).
Let , . In the following theorem, we establish the increasing stability estimate of -norm of F about .
Let satisfy (1.2) and (1.3).
Theorem 2.3.
Let be such that supp and let . Assume that there exists and .
Then there exists a constant depending on and such that
(2.7)
where .
Finally, we present the increasing stability for the third inverse problem (IP3).
Assume that takes the form
(2.8)
where has compact supports such that supp f . Suppose that is given and supported in for some .
The Fourier transform of of space variable is given by
(2.9)
We suppose
(2.10)
where .
Theorem 2.4.
Let be such that supp and let .
Assume that there exists such that .
Then there exist constants and depending on , , , and such that
In this section. The electric current density is assumed to take the form
where is given.
Let and be the electric and magnetic plane waves. Explicitly, we have
where is a unit vector and p, q are two unit polarization vectors satisfying , .
If , it is easy to verify that and satisfy the homogeneous Maxwell equations in :
and
Multiplying the both sides of (1.2) by , we obtain
(3.12)
Integrating by parts, one deduces from the left hand side of (3.12) that
Note that, in the last step we have used the fact that when and , which follows straightforwardly from Huygens’ principle (see e.g.,
[9, Lemma 2.1]). This implies for and . Hence, the integral over on the left hand side of the previous identity vanishes.
(3.13)
By the definition of , one can check that
which gives
Using the assumption about and the fact that f is supported in , we derive
from (3.13) together with the previous two relations that
where represents the measurement data on .
In view of the assumption (2.4), one obtains for , and that
(3.14)
where depends on , , and .
Repeating similar steps, we get
(3.15)
On the other hand, Since , we obtain that
(3.16)
which means .
Using the Pythagorean theorem yields
(3.17)
Let , we obtain from the Parseval theorem that
(3.18)
Denote
Since the integrand is an entire analytic function of , the integral with respect to can be taken over by any path joining points and in complex plane. Thus is an entire analytic function of and the following estimate holds.
Lemma 3.1.
Let , . Then
(3.19)
Proof.
Set for . Then it is easy to get
Noting the elementary inequality for all and , we have
In this section. Let for . Through this section, denotes a generic constant which is independent of , may vary from line to line. Consider the equation
(4.23)
Assume that .
Multiplying the both sides of (4.23) by and using the integration by parts over , we obtain
(4.24)
Integrating by parts, one deduces from the left hand side of (4.24) that
Note that, in the last step we have used the fact that when and , which follows straightforwardly from Huygens’ principle (see e.g.,
[9, Lemma 2.1]). This implies for and . Hence, the integral over on the left hand side of the previous identity vanishes. Thus
Assume that is known, we establish an increasing stability estimate about f from the Dirichlet data .
Multiplying the both sides of (5.42) by , we obtain
(5.43)
Integrating by parts, one deduces from the left hand side of (5.43) that
Note that, in the last step we have used the fact that when and , which follows straightforwardly from Huygens’ principle (see e.g.,
[18, Lemma 2.1]). This implies for and . Hence, the integral over on the left hand side of the previous identity vanishes.
Thus (5.43) becomes
where depends on , , and .
Then applying Lemma 3.2, we know for all that
where depends on , , and .
Define .
The Parseval’s identity yields
where depends on .
Consider the set
Now we estimate
The following Lemma 5.1 is essential to estimate .
For , denote . Below we state a stability estimate for analytic continuation problems, which can be seen in [8, 33].
Lemma 5.1.
Let be a non empty open set of the unit ball , , and let be an analytic function in that satisfy
for some and . Then, we have
where depends on , and and .
Define
for any and . Since f is compactly supported, one can see that the function is analytic and it satisfies for that
Using and ,
we obtain
where depends on and .
Applying Lemma 5.1 to the set defined as ,
we find a constant such that
Using the fact that , one gets the following estimate
(5.48)
where depends on , , and .
Combining (5.45), we know for that
where depends on , , and .
Noting that
and ,
we have
Using the elementary inequality
we get
(5.56)
where depends on , , and .
Case (ii): . In this case we have , and from (5.47),
Combining the estimates of and , we obtain
(5.57)
(5.58)
where depends on , , and .
Now we estimate .
Let
Repeating similar steps, we find out
(5.59)
where depends on , , , and .
Since and when and .
Applying , we obtain
(5.60)
where depends on , , , and .
Repeating similar steps, we get that
(5.61)
where depends on , , , and .
Using the Pythagorean theorem yields
(5.62)
Combining (5.60)-(5.61) and (5.62), we obtain the stability estimate (2.11).
This completes the proof.
6 Acknowledgment
The work of S. Si is supported by the Natural Science Foundation of Shandong Province, China(No. ZR202111240173). The author would like to thank Guanghui Hu for helpful discussions.
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