Reconstruction for the coefficients of a quasilinear elliptic partial differential equation
C\u{a}t\u{a}lin I. C\^arstea, Gen Nakamura, Manmohan Vashisth

TL;DR
This paper presents a method to reconstruct specific coefficients in a quasilinear elliptic PDE from boundary measurements, advancing inverse problem techniques for nonlinear PDEs.
Contribution
It introduces a novel reconstruction approach for the coefficients gamma and b in a quasilinear elliptic equation using the Dirichlet to Neumann map.
Findings
Reconstruction method successfully retrieves coefficients gamma and b.
Method applicable to smooth bounded domains.
Provides theoretical foundation for inverse coefficient problems in nonlinear PDEs.
Abstract
In this paper we consider an inverse coefficients problem for a quasilinear elliptic equation of divergence form , in a bounded smooth domain . We assume that , by expanding around . We give a reconstruction method for and from the Dirichlet to Neumann map defined on .
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.
Reconstruction for the coefficients of a quasilinear elliptic partial differential equation
Cătălin I. Cârstea*∗, Gen Nakamura†* and Manmohan Vashisth*⋄*
*∗*School of Mathematics, Sichuan University, Chengdu, Sichuan, 610064, P.R.China.
E-mail:[email protected]
*†*Department of Mathematics, Hokkaido University, Sapporo 060-0810, Japan.
E-mail: [email protected]
⋄ Beijing Computational Science Research Center, Beijing 100193, China.
E-mail: [email protected]
Abstract.
In this paper we consider an inverse coefficients problem for a quasilinear elliptic equation of divergence form , in a bounded smooth domain . We assume that , by expanding around . We give a reconstruction method for and from the Dirichlet to Neumann map defined on .
Keywords: non-linear equation, inverse problems, reconstruction, Dirichlet to Neumann map
**Mathematics Subject Classifications (2010): ** 35J66, 65M32
1. Introduction and statement of the main result
First of all, we set up a boundary value problem for a quasilinear elliptic equation of divergence form. Let ( ) be a bounded open set with smooth boundary . We consider the following quasilinear elliptic boundary value problem (BVP)
[TABLE]
where is given by
[TABLE]
with and, for vector , with for a constant . Throughout this paper we assume for some constant and there exists a constant such that
[TABLE]
holds for all and multi-indices with .
Under the above setup, we have the following well-posedness result for the above (BVP) which is proved in [5].
Theorem 1.1**.**
([5])* Let . There exist and such that for any satisfying , the following boundary value problem*
[TABLE]
admits a unique solution such that . Moreover, there exists independent of such that
[TABLE]
Here and are the usual -Sobolev spaces of order and in and on , respectively.
Based on the well-posedness of (BVP), we define the Dirichlet to Neumann (DN in short) map by
[TABLE]
where is solution to the (BVP) and is the unit normal vector of directed into the exterior of .
Now we state our inverse problem.
Inverse problem: Identify and from the knowledge of DN map .
Remark 1.2**.**
The above (BVP) is the scalar version of displacement boundary value problem for elasticity equation and ’s correspond to higher order tensors of rank 6. In material science these higher order tensors are becoming important due to the demand to investigate physical phenomena in a smaller scale (see for example [6] using [1] as a guide book for nonlinear elasticity). As a consequence we need to recover these higher order tensors by solving some inverse problems. Hence we can consider our inverse problem as a toy model to reconstruct tensors up to rank 6.
Concerning this inverse problem, its uniqueness is already known in ([5]). Then a next very natural question is about giving a reconstruction for identifying these and .
Our main result in this paper is the following.
Theorem 1.3**.**
Knowing the DN map , we can have point-wise reconstruction for the linear part and the coefficient of the quadratic part of . (The details of the reconstruction method will be given in the proof of this theorem see Sections 2 and 3).
Let us locate our results among the well known results on inverse problems for nonlinear scalar elliptic equations using the DN map as their measured data to identify non-linearities or extract some information about them. The first important thing to say is that, as far as we know, the known results are about uniqueness. The major nonlinear scalar equations which have been studied up to now are of the following forms
- (i)
- (ii)
([4]),
- (iii)
- (v)
([5])
in , with some appropriate conditions on the non-linearities , , , , and we have indicated the contributing papers in the brackets. It should be remarked here that the uniqueness for (ii) was even given with localized DN map. The proof in [5] had one insufficient part which can be corrected by the argument given in this paper. Our main result can be considered as a further development of [5], giving the reconstruction of the linear part and quadratic nonlinear part of .
The rest of this paper is organized as follows. In Section 2 we will discuss the -expansion using which the DN map can be linearized. The linearization of DN map is the DN map for the conductivity equation with conductivity . Then by the famous result [7] we reconstruct and hence the remaining task is to reconstruct . This is done in Section 3.
2. -expansion of the solution to (BVP)
To prove the theorem, we will use the following -expansion of solution to the (BVP)
[TABLE]
where and are given as follows. By substituting in (1.2), we get
[TABLE]
Now comparing the various powers of on both sides, is the solution to
[TABLE]
and solves
[TABLE]
As for the justification of the above expansion, we refer to [5].
Next, the -expansion of the DN map is
[TABLE]
Hence we can know
[TABLE]
and
[TABLE]
Note that is the DN map for (2.2). Also, since is dense in the -Sobolev space of order on and the boundary value problem 2.2 with Dirichlet data is well-posed in -Sobolev space of order in , can be defined for . It is well-known from the work of [7] that can be reconstructed from the knowledge of . Once knowing , we also know in for every given .
For readers’ convenience, we will briefly give a summary of the reconstruction given in [7]. It consists of the following five steps:
- Step 1.
By the determination at the boundary, reconstruct and at (see for example [8]).
- Step 2.
Compute the DN map defined by \tilde{\Lambda}_{q}f=\partial_{\nu}v\big{|}_{\partial\Omega}, where is the solution to boundary value problem: (\Delta-q)v=0\,\,\text{in}\,\,\Omega,\,\,v\big{|}_{\partial\Omega}=g\in H^{1/2}(\partial\Omega) with , and is the dual space of .
- Step 3.
For any fixed , let be such that , and define by
[TABLE]
where are the traces of single layer and double layer potentials of to , respectively. Here we have denoted when by .
- Step 4.
Compute the Fourier transform of extended by [math] outside by the inversion formula:
[TABLE]
- Step 5.
Solve in , z\big{|}_{\partial\Omega}=\gamma^{1/2}\big{|}_{\partial\Omega} to get .
3. Reconstruction of
Based on what we have obtained in the previous section, in this section we will give a reconstruction for identifying . Let us start this by deriving an integral identity. Take any solution of in , with enough regularity, and let , where is the characteristic function of . By multiplying (2.3) by and integrating over , we have
[TABLE]
Here and hereafter denotes the integration over and denotes the standard measure on .
We will polarize (3.1) as follows. Consider . Then from equations (2.3) and (3.1), we get
[TABLE]
The right hand side of equation (3.2) is known for all and .
We can choose and to be complex geometric optics solutions
[TABLE]
where , satisfy the equations
[TABLE]
and the estimate
[TABLE]
The expressions for and in (3.3) and the estimate in (3.5) follow from the work of [12]. Now let be any vector and choose such that
[TABLE]
Using these, define by
[TABLE]
where and are chosen such that
[TABLE]
With this, we have
[TABLE]
Note that
[TABLE]
so
[TABLE]
Consider the the term
[TABLE]
Then
[TABLE]
Taking the limit in (3.2), we get
[TABLE]
It follows that
[TABLE]
in , in the sense of distributions, and where we have extended so that it is smooth in and the support of is compact. Since
[TABLE]
and
[TABLE]
we can conclude that satisfies
[TABLE]
in the sense of distributions.
Next we will show that can be known. Since we do know that does exist and satisfies (3.7), we only need to show such is unique. For this it is enough to show that if , with compact support, satisfies
[TABLE]
then . To start proving this, note that by the interior regularity of solutions of elliptic equations, . Further, by recalling is compactly supported, we have .
Now by the limiting absorption principle, for any fixed and any given there exists a unique such that
[TABLE]
where
[TABLE]
(see Theorem 3.6 in page 413 of [13] for the details). This implies
[TABLE]
Then, since is dense in , we immediately have . Summing up we have obtained the following
[TABLE]
Now let be solutions of in , with enough regularity, such that are linearly independent for a.e. every (see Lemma 3.1 of [5] for such . Therefore, we have that is known for all and . We will denote this known value by . Thus we have the following system of equations
[TABLE]
Since the matrix
[TABLE]
is invertible for each , therefore we obtain that
[TABLE]
where
[TABLE]
This gives the reconstruction for in .
Acknowledgement
The work of first author was supported by the Sichuan University. Second author was partially supported by Grant-in-Aid for Scientific Research (15K21766, 15H05740) of the Japan Society for the Promotion of Science doing the research of this paper. The work of third author was supported by NSAF grant (No. U1530401).
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] P. Ciarlet, Lectures on Three-Dimensioanal Elasticity, Published for TIFR, Springer-Verlag, Berline-Heidelberg New York, 1983.
- 2[2] V. Isakov and J. Sylvester, Global uniqueness for a semi linear elliptic inverse problem, Comm. Pure Appl. Math., 47 (1994), 1403-1410.
- 3[3] V. Isakov and A. Nachman, Global uniqueness for a two-dimensional semilinear elliptic inverse problem, Trans. Amer. Math. Soc. 347 (1995), no. 9, 3375-3390.
- 4[4] V. Isakov, Uniqueness of recovery of some quasilinear partial differential equations, Comm. Part. Diff. Equat., 26 (2001), 1947-1973.
- 5[5] H. Kang and G. Nakamura, Identification of nonlinearity in a conductivity equation via the Dirichlet-to-Neumann map, Inverse Problems 18 (2002), no. 4, 1079-1088.
- 6[6] V.A. Lubarda, New estimates of the third order elastitic constants for isotropic aggregates of cubic crystal, J. Mech. Phys. Solids, 45 (1997), no. 4, 471-490.
- 7[7] A. Nachman, The inverse reconstructions from boundary measurements, Ann. of Math., 128 (1988), pp 531-587.
- 8[8] G. Nakamura and K. Tanuma, Local determination of conductivity at the boundary from the Dirichlet-to-Neumann map, Inverse Problems 17(2001), 405-419.
