Stable determination of a Lam\'e coefficient by one internal measurement of displacement
Giuseppe Di Fazio, Elisa Francini, Fabio Raciti, Sergio Vessella

TL;DR
This paper demonstrates that the shear modulus of an elastic body can be stably determined from a single internal displacement measurement, with boundary data independent of the unknown elasticity tensor.
Contribution
It introduces a method to recover the shear modulus using only one internal measurement, enhancing stability and reducing data requirements compared to previous approaches.
Findings
Stable recovery of shear modulus from one internal measurement
Boundary data can be assigned independently of the elasticity tensor
Method applicable to isotropic elastic bodies
Abstract
In this paper we show that the shear modulus of an isotropic elastic body can be stably recovered by the knowledge of one single displacement field whose boundary data can be assigned independently of the unknown elasticity tensor.
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Stable determination of a Lamé coefficient by one internal measurement of displacement
Giuseppe Di Fazio
Dipartimento di Matematica e Informatica
Università di Catania
Viale A. Doria 6, 95125, Catania, Italy
,
Elisa Francini
Dipartimento di Matematica
Università di Firenze
Viale Morgagni 67 A, Firenze, Italy
,
Fabio Raciti
Dipartimento di Matematica e Informatica
Università di Catania
Viale A. Doria 6, 95125, Catania, Italy
and
Sergio Vessella
Dipartimento di Matematica
Università di Firenze
Viale Morgagni 67 A, Firenze, Italy
Abstract.
In this paper we show that the shear modulus of an isotropic elastic body can be stably recovered by the knowledge of one single displacement field whose boundary data can be assigned independently of the unknown elasticity tensor.
Key words and phrases:
Elastography, stability, interior data.
2010 Mathematics Subject Classification:
35R30, 35J57
1. Introduction
In this paper we consider the following problem: let , be a bounded domain representing an elastic isotropic body with Lamé coefficients and . Assuming is known, we want to stably recover the shear modulus from the knowledge of one single displacement field in , that is a solution to the elasticity system
[TABLE]
where
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with being the identity matrix and .
This problem is connected to the imaging method usually called Elastography. The most common approach to Elastography consists in a 2-step reconstruction. In the first step the elastic displacement is recovered from either sound waves (Ultrasound Elastography) or protons’ propagation (Magnetic Resonance Elastography). In the present analysis we study the second step, namely the quantitative reconstruction of Lamé parameters from the knowledge of elastic displacements.
This problem has recently been studied in [10] and [17] for isotropic elasticity tensors in the time harmonic regime, and in [11] for the anisotropic case at zero frequency. In these papers a key point in the proof of unique and stable reconstruction consists in looking for few displacement fields satisfying a rank maximality condition concerning their gradients. Existence of such non degenerate sets of solutions is usually proven by using density arguments (such as Runge approximation) or CGO solutions. Unfortunately, it is not possible to choose a-priori boundary data of these particular solutions, since they depend on the interior values of the unknown elasticity tensor. For an analysis of this issue in the scalar case we refer to [13] and [1].
For this reason, following the method used in [3] and [8], we propose here the choice of boundary values in such a way that the degeneracy of can be controlled by quantitative estimates of unique continuation. We point out that this stability estimate is obtained with only one internal measurement. On the other hand, here we focus our attention only on the shear modulus and assume that is known. This is not a big restriction for the possible application of our result, because the shear modulus is the parameter that changes more between healthy and damaged tissues (see [19]).
The paper is organized as follows: in section 2 we list the main notations and assumptions; in section 3 we formulate the problem and state our result. The main tools of our analysis are an integral stability estimate (section 4) and quantitative estimates of unique continuation (section 5). Finally, section 6 contains the proof of our result.
2. Preliminary assumptions
We denote points in by where and . Analogously, we denote by the set of points in such that belong to for some .
Assumption 2.1**.**
We assume that , a bounded domain in with , is a domain with boundary, that is, for any there exists a rigid change of coordinates such that, and
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where is a function defined in such that and
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As usual, for any , we set
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In the sequel we deal with the Lamé coefficients and , on which we posit the following assumptions.
Assumption 2.2**.**
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[TABLE]
We also assume
Assumption 2.3**.**
The function belongs to , and
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Moreover we assume that is far from rigid movements, that is, given
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we assume that
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In the sequel we will use the following frequency of function :
Definition 2.1**.**
For any , we set
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For any function satisfying assumption 2.3, we have .
3. Formulation of the problem and main result
Let us consider functions , and such that and satisfy assumptions (2a) and (2b).
Let be the solution of the problem
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where
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and let be the solution of the problem
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where
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Now we are ready to state our main result.
Theorem 3.1**.**
Let be such that . Then
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where the constants and depend only on , , , , , , , and .
4. An integral estimate
Lemma 4.1**.**
Let and be as in (3) and (4). Moreover, let assumptions 2.1 and 2.2 hold true. Then, there exists a positive constant depending only on , , , , , and such that
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In the sequel we will use the following notation. The dot between vectors is the scalar product while the dot between matrices is the product in the sense of Frobenius.
Proof of Lemma 4.1.
Let be a solutions of (3) and (4), respectively.
Let us set
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By comparing the weak formulations of problems (3) and (4) we easily get
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for every .
To show the inequality we follow the route traced by [2] by choosing a suitable test function. For set
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as our test function. We can easily check that
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Let us first consider the LHS of (7) with test function given by (8). We have
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Let us now focus on the integral
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By using the fact that, for any symmetric matrix and for any vector anc ,
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Let us denote by the unit outer normal to the set and us apply twice Green formula to obtain
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It is easy to check that in the set we have , and, hence,
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By putting together (9), (10) and (12), we have that, for given by (8)
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Let us now estimate the RHS of (7) for given by (8).
We have
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then, by assumption 2.2,
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We proceed in the same way to estimate
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By assumption 2.2, we get
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Finally, by putting together (13), (7), (14) and (15) we get
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If we use instead of we found a similar estimate. Then, merging the two, we get
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Since
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we obtain, from (16)
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By [20, Theorem 7.1, chap. 3], we have
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and, since by (2.2), by Hölder inequality, we can easily get from (17) that
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where .
Let us notice that, by using an interpolation inequality (see, for example [15, Theorem 7.28]), if we denote by any partial derivative of first order, we have
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Now choose and we get
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with depending only on , , , , .
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We finally choose and get (6).∎
5. Quantitative estimates of unique continuation
Most of the results that we state and prove in this section are already known for solutions of the Lamé system, but they are usually stated in terms of Neumann boundary conditions. We want here to use Dirichlet boundary conditions that are better related to the internal measurements we are going to use.
Theorem 5.1** (Three sphere inequality for ).**
Under assumption 2.2, there exists depending only on , and such that for every solution to the equation
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and for every , , such that we have
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where and depend only on , , , and .
Proof.
The proof of this estimates goes along the same lines of the proof of Corollary 3.3 in [6]. The regularity of the Lamé coefficients can be lowered by starting from the three spheres inequality for the solution proved in [18, Theorem 1.1]. ∎
Theorem 5.2** (Lipschitz Propagation of Smallness).**
Under assumptions 2.1, 2.2 and 2.3, let be solution to (3). Then, for every and for every , we have
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where depends on , , , , , , , and .
Proof.
The proof follows essentially the same lines of the proof of Proposition 4.1 in [6]. First of all, as in Lemma 4.2 in [6], by Hölder inequality and Sobolev inequality we can estimate
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The only difference consists in substituting inequality (4.6) in [6] with the trace estimate
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As in (4.12) in [6], by using a suitable chain of balls and the three spheres inequality (Theorem 5.1) we get
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where and depends only on , , and , whereas .
By (24), we have
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Now, we need to estimate from below. Let us set
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By trace inequality and Korn inequality we have
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and, hence,
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Let us take such that
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so that, by (25) and (28) the thesis (23) follows for . For larger values of iniquality (23) is trivial. ∎
Now, we need a doubling inequality for . We start with recalling a doubling inequality for that corresponds to [16, Theorem 1.2].
Theorem 5.3**.**
Under assumption 2.2, there exists a positive constant such that for every solution to we have
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for every and with depending on , , and increasingly on
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Theorem 5.4**.**
Under assumptions 2.1, 2.2 and 2.3, let be a solution to (3). Then, for every and ,
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where and depend on , , , , , and depends also on .
Proof.
Let
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where
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Since function is still a solution of equation in , by Caccioppoli inequality (see [6, Lemma 3.4]) we have
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where depends only on , and , hence, trivially,
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By Korn inequality (see [6, Lemma 3.5]
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By (29), (31) and (32) we have
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where depends on , , , , , and increasingly on
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Now, we need to bound from above independently of . First of all we notice that,
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hence, by internal regularity estimates (see, for example [12]) and [20, Theorem 4.2, chap.3],
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Let us now consider a ball with and notice that, by Caccioppoli inequality,
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By (23),
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Arguing as in the proof of Theorem 5.2, by (27), we have
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and, hence, by (34), (35) and (36)
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where does not depend on .
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where depends on , , , , , and increasingly on .
Once the doubling inequality (38) for is obtained, the polynomial rate of can be easily obtained by iteration (see [4, Remark 4.11] for a similar procedure). ∎
6. Proof of Theorem 3.1
Here we follow an argument already used in [8] (see e.g. proof of Theorem 3.1). Let us set again . By (6) we obtain
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where
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Now, let be such that . Using the Lipschitz assumption on , we obtain
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Multiplying both sides by and integrating over we get
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Then,
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Now we use (30) and set , , as to get
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Finally, by setting we obtain
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Let
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If we choose and get
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If we immediately get
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