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Three-region inequalities for the second order elliptic equation with discontinuous coefficients and size estimate

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Three-region inequalities for the second order elliptic equation with discontinuous coefficients and

size estimate

E. Francini

C.-L. Lin

S. Vessella

J.-N. Wang

§

Abstract

In this paper, we would like to derive a quantitative uniqueness estimate, the three-region inequality, for the second order elliptic equation with jump discontinuous coefficients. The derivation of the inequality relies on the Carle- man estimate proved in our previous work [5]. We then apply the three-region inequality to study the size estimate problem with one boundary measurement.

1 Introduction

In this work we aim to study the size estimate problem with one measurement when the background conductivity has jump interfaces. A typical application of this study is to estimate the size of a cancerous tumor inside an organ by the electric impedance tomography (EIT). In this case, considering discontinuous medium is typical, for instance, the conductivities of heart, liver, intestines are 0.70 (S/m), 0.10 (S/m), 0.03 (S/m), respectively. Previous works on this problem assumed that the conductivity of the studied body is Lipschitz continuous, see, for example, [3, 4]. The first result on the size estimate problem with a discontinuous background conductivity was given in [17], where only the two dimensional case was considered. In this paper, we will study the problem in dimension n ≥ 2.

The main ingredients of our method are quantitative uniqueness estimates for

div(A∇u) = 0 Ω ⊂ Rn. (1.1)

Those estimates are well-known when A is Lipschitz continuous. The derivation of the estimates is based on the Carleman estimate or the frequency function method. For n = 2 and A ∈ L, quantitative uniqueness estimates are obtained via the connection

Universit´a di Firenze, Italy. Email: francini@math.unifi.it

National Cheng Kung University, Taiwan. Email: cllin2@mail.ncku.edu.tw

Universit´a di Firenze, Italy. Email: sergio.vessella@dmd.unifi.it

§National Taiwan University, Taiwan. Email: jnwang@ntu.edu.tw

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between (1.1) and quasiregular mappings. This is the method used in [17]. For n ≥ 3, the connection with quasiregular mappings is not true. Hence we return to the old method – the Carleman estimate, to derive quantitative uniqueness estimates when A is discontinuous. Precisely, when A has a C1,1 interface and is Lipschitz away from the interface, a Carleman estimate was obtained in [5] (see [10, 11, 12] for related results). Here we will derive three-region inequalities using this Carleman estimate.

The three-region inequality provides us a way to propagate ”smallness” across the interface (see also [11] for similar estimates). Relying on the three-region inequality, we then derive bounds of the size of an inclusion with one boundary measurement.

For other results on the size estimate, we mention [1] for the isotropic elasticity, [14, 15,16] for the isotropic/anisotropic thin plate, [7, 6] for the shallow shell.

2 The Carleman estimate

In this section, we would like to describe the Carleman estimate derived in [5]. We first denote H± = χRn± where Rn± = {(x, y) ∈ Rn−1 × R : y ≷ 0} and χRn± is the characteristic function of Rn±. Let u± ∈ C(Rn) and define

u = H+u++ Hu=X

±

H±u±,

hereafter,P

±a± = a++ a, and L(x, y, ∂)u :=X

±

H±divx,y(A±(x, y)∇x,yu±), (2.1)

where

A±(x, y) = {a±ij(x, y)}ni,j=1, x ∈ Rn−1, y ∈ R (2.2) is a Lipschitz symmetric matrix-valued function satisfying, for given constants λ0 ∈ (0, 1], M0 > 0,

λ0|z|2 ≤ A±(x, y)z · z ≤ λ−10 |z|2, ∀(x, y) ∈ Rn, ∀ z ∈ Rn (2.3) and

|A±(x0, y0) − A±(x, y)| ≤ M0(|x0− x| + |y0− y|). (2.4) We write

h0(x) := u+(x, 0) − u(x, 0), ∀ x ∈ Rn−1, (2.5) h1(x) := A+(x, 0)∇x,yu+(x, 0) · ν − A(x, 0)∇x,yu(x, 0) · ν, ∀ x ∈ Rn−1, (2.6) where ν = −en.

For a function h ∈ L2(Rn), we define ˆh(ξ, y) =

Z

Rn−1

h(x, y)e−ix·ξdx, ξ ∈ Rn−1.

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As usual H1/2(Rn−1) denotes the space of the functions f ∈ L2(Rn−1) satisfying Z

Rn−1

|ξ|| ˆf (ξ)|2dξ < ∞, with the norm

||f ||2H1/2(Rn−1) = Z

Rn−1

(1 + |ξ|2)1/2| ˆf (ξ)|2dξ. (2.7) Moreover we define

[f ]1/2,Rn−1 =

Z

Rn−1

Z

Rn−1

|f (x) − f (y)|2

|x − y|n dydx

1/2

,

and recall that there is a positive constant C, depending only on n, such that C−1

Z

Rn−1

|ξ|| ˆf (ξ)|2dξ ≤ [f ]21/2,Rn−1 ≤ C Z

Rn−1

|ξ|| ˆf (ξ)|2dξ,

so that the norm (2.7) is equivalent to the norm ||f ||L2(Rn−1)+ [f ]1/2,Rn−1. From now on, we use the letters C, C0, C1, · · · to denote constants (depending on λ0, M0, n).

The value of the constants may change from line to line, but it is always greater than 1. We will denote by Br(x) the (n − 1)-ball centered at x ∈ Rn−1 with radius r > 0.

Whenever x = 0 we denote Br = Br(0).

Theorem 2.1 Let u and A±(x, y) satisfy (2.1)-(2.6). There exist L, β, δ0, r0, τ0 pos- itive constants, with r0 ≤ 1, depending on λ0, M0, n, such that if α+ > Lα, δ ≤ δ0 and τ ≥ τ0, then

X

± 2

X

|k|=0

τ3−2|k|

Z

Rn±

|Dku±|2e2τ φδ,±(x,y)dxdy +X

± 1

X

|k|=0

τ3−2|k|

Z

Rn−1

|Dku±(x, 0)|2eδ(x,0)dx

+X

±

τ2[eτ φδ(·,0)u±(·, 0)]21/2,Rn−1+X

±

[D(eτ φδ,±u±)(·, 0)]21/2,Rn−1

≤C X

±

Z

Rn±

|L(x, y, ∂)(u±)|2e2τ φδ,±(x,y)dxdy + [eτ φδ(·,0)h1]21/2,Rn−1

+[∇x(eτ φδh0)(·, 0)]21/2,Rn−1+ τ3 Z

Rn−1

|h0|2e2τ φδ(x,0)dx + τ Z

Rn−1

|h1|2e2τ φδ(x,0)dx

 . (2.8) where u = H+u+ + Hu, u± ∈ C(Rn) and supp u ⊂ Bδ/2 × [−δr0, δr0], and φδ,±(x, y) is given by

φδ,±(x, y) =





 α+y

δ +βy2

2 − |x|2

2δ , y ≥ 0, αy

δ + βy2

2 −|x|2

2δ , y < 0,

(2.9)

and φδ(x, 0) = φδ,+(x, 0) = φδ,−(x, 0).

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Remark 2.2 It is clear that (2.8) remains valid if can add lower order terms P

±H±(W · ∇x,yu±+ V u±), where W, V are bounded functions, to the operator L.

That is, one can substitute L(x, y, ∂)u =X

±

H±divx,y(A±(x, y)∇x,yu±) +X

±

H±(W · ∇x,yu±+ V u±) (2.10)

in (2.8).

3 Three-region inequalities

Based on the Carleman estimate given in Theorem 2.1, we will derive three-region inequalities across the interface y = 0. Here we consider u = H+u++Husatisfying

L(x, y, ∂)u = 0 in Rn, where L is given in (2.10) and

kW kL(Rn)+ kV kL(Rn)≤ λ−10 . Fix any δ ≤ δ0, where δ0 is given in Theorem 2.1.

Theorem 3.1 Let u and A±(x, y) satisfy (2.1)-(2.6) with h0 = h1 = 0. Then there exist C and R, depending only on λ0, M0, n, such that if 0 < R1, R2 ≤ R, then

Z

U2

|u|2dx ≤ (eτ0R2 + CR−41 )

Z

U1

|u|2dxdy

2R1+3R2R2 Z

U3

|u|2dxdy

2R1+2R22R1+3R2

, (3.1) where τ0 is the constant derived in Theorem 2.1,

U1 = {z ≥ −4R2, R1

8a < y < R1 a }, U2 = {−R2 ≤ z ≤ R1

2a, y < R1

8a}, U3 = {z ≥ −4R2, y < R1

a }, a = α+/δ, and

z(x, y) = αy

δ +βy2

2 − |x|2

2δ . (3.2)

Proof. To apply the estimate (2.8), u needs to satisfy the support condition. Also, we can choose α+ and α in Theorem2.1 such that α+ > α. We can choose r ≤ r0

satisfying

r ≤ min 13α

8β , 2δ

19α+ 8β



. (3.3)

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y

x

z=−4R2

z=−R2

z=R12a

y=R1a

y=R18a

U1

U2

Figure 1: U1 and U2 are shown in green and red, respectively. U3 is the region enclosed by blue boundaries.

Note that the choices of δ, r also depend on λ0, M0, n. We then set R = αr

16 . It follows from (3.3) that

R ≤ 13α2

128β. (3.4)

Given 0 < R1 < R2 ≤ R. Let ϑ1(t) ∈ C0(R) satisfy 0 ≤ ϑ1(t) ≤ 1 and ϑ1(t) =

(1, t > −2R2, 0, t ≤ −3R2. Also, define ϑ2(y) ∈ C0(R) satisfying 0 ≤ ϑ2(y) ≤ 1 and

ϑ2(y) =





0, y ≥ R1 2a, 1, y < R1

4a.

Finally, we define ϑ(x, y) = ϑ1(z(x, y))ϑ2(y), where z is defined by (3.2).

We now check the support condition for ϑ. From its definition, we can see that suppϑ is contained in





z(x, y) = αy

δ + βy2

2 −|x|2

2δ > −3R2, y < R1

2a.

(3.5)

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In view of the relation

α+ > α and a = α+ δ , we have that

R1 2a < δ

· R1 < δ α

· αr 16 < δr, i.e., y < δr ≤ δr0. Next, we observe that

−3R2 > −3R = −3αr 16 > α

δ (−δr) + β

2(−δr)2,

which gives −δr < y due to (3.3). Consequently, we verify that |y| < δr. One the other hand, from the first condition of (3.5) and (3.3), we see that

|x|2

2δ < 3R2+ αy

δ + βy2

2 ≤ 3αr 16 + α

δ · δr + β

2 · δ2r2 ≤ δ 8, which gives |x| < δ/2.

Since h0 = 0, we have that

ϑ(x, 0)u+(x, 0) − ϑ(x, 0)u(x, 0) = 0, ∀ x ∈ Rn−1. (3.6) Applying (2.8) to ϑu and using (3.6) yields

X

± 2

X

|k|=0

τ3−2|k|

Z

Rn±

|Dk(ϑu±)|2e2τ φδ,±(x,y)dxdy

≤CX

±

Z

Rn±

|L(x, y, ∂)(ϑu±)|2e2τ φδ,±(x,y)dxdy

+ Cτ Z

Rn−1

|A+(x, 0)∇x,y(ϑu+(x, 0)) · ν − A(x, 0)∇x,y(ϑu)(x, 0) · ν|2e2τ φδ(x,0)dx + C[eτ φδ(·,0) A+(x, 0)∇x,y(ϑu+)(x, 0) · ν − A(x, 0)∇x,y(ϑu)(x, 0) · ν]21/2,Rn−1.

(3.7) We now observe that ∇x,yϑ1(z) = ϑ01(z)∇x,yz = ϑ01(z)(−xδ,αδ+βyδ2) and it is nonzero only when

−3R2 < z < −2R2. Therefore, when y = 0, we have

2R2 < |x|2

2δ < 3R2. Thus, we can see that

|∇x,yϑ(x, 0)|2 ≤ CR−22  6R2 δ +α2

δ2



≤ CR2−2. (3.8)

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By h0(x) = h1(x) = 0, (3.8), and the easy estimate of [5, Proposition 4.2], it is not hard to estimate

τ Z

Rn−1

|A+(x, 0)∇x,y(ϑu+(x, 0)) · ν − A(x, 0)∇x,y(ϑu)(x, 0) · ν|2e2τ φδ(x,0)dx + [eτ φδ(·,0) A+(x, 0)∇x,y(ϑu+)(x, 0) · ν − A(x, 0)∇x,y(ϑu)(x, 0) · ν]21/2,Rn−1

≤ CR−22 e−4τ R2

 τ

Z

{

4δR2≤|x|≤ 6δR2}

|u+(x, 0)|2dx + [u+(x, 0)]21/2,{4δR

2≤|x|≤ 6δR2}



+ Cτ2R−32 e−4τ R2 Z

{

4δR2≤|x|≤ 6δR2}

|u+(x, 0)|2dx

≤ Cτ2R−32 e−4τ R2E,

(3.9) where

E = Z

{

4δR2≤|x|≤ 6δR2}

|u+(x, 0)|2dx + [u+(x, 0)]21/2,{4δR

2≤|x|≤ 6δR2}.

Expanding L(x, y, ∂)(ϑu±) and considering the set where Dϑ 6= 0, we can estimate X

± 1

X

|k|=0

τ3−2|k|

Z

{−2R2≤z≤R1

2a, y<R14a}

|Dku±|2e2τ φδ,±(x,y)dxdy

≤ CX

± 1

X

|k|=0

R2(|k|−2)2 Z

{−3R2≤z≤−2R2, y<R12a}

|Dku±|2e2τ φδ,±(x,y)dxdy

+ C

1

X

|k|=0

R2(|k|−2)1 Z

{−3R2≤z,R1

4a<y<R12a}

|Dku+|2e2τ φδ,+(x,y)dxdy

+ Cτ2R−32 e−4τ R2E

≤ CX

± 1

X

|k|=0

R2(|k|−2)2 e−4τ R2e(α+−α−)δ R14a Z

{−3R2≤z≤−2R2, y<R14a}

|Dku±|2dxdy

+

1

X

|k|=0

R2(|k|−2)1 eα+δ R12ae2δ2β (R12a)2 Z

{z≥−3R2,R14a<y<R12a}

|Dku+|2dxdy + Cτ2R−32 e−4τ R2E.

(3.10)

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Let us denote U1 = {z ≥ −4R2, R8a1 < y < Ra1}, U2 = {−R2 ≤ z ≤ R2a1, y < R8a1}.

From (3.10) and interior estimates (Caccioppoli’s type inequality), we can derive that τ3e−2τ R2

Z

U2

|u|2dxdy

≤ τ3e−2τ R2 Z

{−R2≤z≤R12a, y<R18a}

|u|2dxdy

≤X

±

τ3 Z

{−2R2≤z≤R12a, y<R14a}

|u±|2e2τ φδ,±(x,y)dxdy

≤ CX

± 1

X

|k|=0

R2(|k|−2)2 e−4τ R2e(α+−α−)δ R14a Z

{−3R2≤z≤−2R2, y<R14a}

|Dku±|2dxdy

+

1

X

|k|=0

R2(|k|−2)1 eα+δ R12ae2δ2β (R12a)2 Z

{z≥−3R2,R14a<y<R12a}

|Dku+|2dxdy + Cτ2R−32 e−4τ R2E

≤ CR−41 e−3τ R2 Z

{−4R2≤z≤−R2, y<R1a }

|u|2dxdy + Cτ2R2−3e−4τ R2E

+ CR−41 e(1+

βR1 4α2

)τ R1Z

{z≥−4R2,R18a<y<R1a }

|u|2dxdy

≤CR−41

 e2τ R1

Z

U1

|u|2dxdy + τ2e−3τ R2F

 ,

(3.11)

where

F = Z

{z≥−4R2, y<R1a }

|u|2dxdy and we used the inequality βR21

< 1 due to (3.4).

Dividing τ3e−2τ R2 on both sides of (3.11) implies that Z

U2

|u|2dxdy ≤ CR−41



e2τ (R1+R2) Z

U1

|u|2dxdy + e−τ R2F



. (3.12)

Now, we consider two cases. If R

U1|u|2dxdy 6= 0 and e0(R1+R2)

Z

U1

|u|2dxdy < e−τ0R2F,

then we can pick a τ > τ0 such that e2τ (R1+R2)

Z

U1

|u|2dxdy = e−τ R2F.

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Using such τ , we obtain from (3.12) that Z

U2

|u|2dxdy ≤ CR−41 e2τ (R1+R2) Z

U1

|u|2dxdy

= CR−41

Z

U1

|u|2dxdy

2R1+3R2R2

(F )2R1+2R22R1+3R2.

(3.13)

If R

U1|u|2dxdy = 0, then letting τ → ∞ in (3.12) we have R

U2|u|2dxdy = 0 as well.

The three-regions inequality (3.1) obviously holds.

On the other hand, if

e−τ0R2F ≤ e0(R1+R2) Z

U1

|u|2dxdy, then we have

Z

U2

|u|2dx ≤ (F )2R1+3R2R2 (F )2R1+2R22R1+3R2

≤ exp (τ0R2)

Z

U1

|u|2dxdy

2R1+3R2R2

(F )2R1+2R22R1+3R2 .

(3.14)

Putting together (3.13), (3.14), we arrive at Z

U2

|u|2dx ≤ (exp (τ0R2) + CR−41 )

Z

U1

|u|2dxdy

 R2

2R1+3R2

(F )2R1+2R22R1+3R2 . (3.15)

2

4 Size estimate

We will apply the three-region inequality (3.1) to estimate the size of embedded inclusion in this section. Here we denote Ω a bounded open set in Rn with C1,α boundary ∂Ω with constants s0, L0, where 0 < α ≤ 1. Assume that Σ is a C2 hypersurface with constants r0, K0 satisfying

dist(Σ, ∂Ω) ≥ d0 (4.1)

for some d0 > 0. We divide Ω into three sets, namely, Ω = Ω+∪ Σ ∪ Ω

where Ω± are open subsets. Note that Ω = ∂Ω ∪ Σ and ∂Ω+ = Σ. We also define Ωh = {x ∈ Ω : dist(x, ∂Ω) > h}.

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Definition 4.1 [C1,α regularity] We say that Σ is C2 with constants r0, K0 if for any P ∈ Σ there exists a rigid transformation of coordinates under which P = 0 and

±∩ B(0, r0) = {(x, y) ∈ B(0, r0) ⊂ Rn: y ≷ ψ(x)}, where ψ is a C2 function on Br0(0) satisfying ψ(0) = 0 and

kψkC2(Br0(0)) ≤ K0.

The definition of C1,α boundary is similar. Note that B(a, r) stands for the n-ball centered at a with radius r > 0. We remind the reader that Br(a) denotes the (n − 1)-ball centered at a with radius r > 0.

Assume that A± = {a±ij(x, y)}ni,j=1satisfy (2.3) and (2.4). Let us define H± = χ±, A = H+A++ HA, u = H+u++ Hu. We now consider the conductivity equation

div(A∇u) = 0 in Ω. (4.2)

It is not hard to check that u satisfies homogeneous transmission conditions (2.5), (2.6) (with h0 = h1 = 0), where in this case ν is the outer normal of Σ. For φ ∈ H1/2(∂Ω), let u solve (4.2) and satisfy the boundary value u = φ on ∂Ω.

Next we assume that D is a measurable subset of Ω. Suppose that ˆA is a sym- metric n × n matrix with L(Ω) entries. In addition, we assume that there exist η > 0, ζ > 1 such that

(1 + η)A ≤ ˆA ≤ ζA a.e. in Ω (4.3)

or η > 0, 0 < ζ < 1 such that

ζA ≤ ˆA ≤ (1 − η)A a.e. in Ω. (4.4)

Now let v = H+v++ Hv be the solution of

(div((AχΩ\ ¯D + ˆAχD)∇v) = 0 in Ω,

v = φ on ∂Ω. (4.5)

The inverse problem considered here is to estimate |D| by the knowledge of {φ, A∇v · ν|∂Ω}. In this work we would like to consider the most interesting case where

D ⊆ ¯¯ Ω+. (4.6)

In practice, one could think of Ω+ being an organ and D being a tumor. The aim is to estimate the size of D by measuring one pair of voltage and current on the surface of the body.

We denote W0 and W the powers required to maintain the voltage φ on ∂Ω when the inclusion D is absent or present. It is easy to see that

W0 = Z

∂Ω

φA∇u · ν = Z

A∇u · ∇u

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and

W = Z

∂Ω

φ(AχΩ\ ¯D+ ˆAχD)∇v · ν = Z

(AχΩ\ ¯D + ˆAχD)∇v · ∇v.

The size of D will be estimate by the power gap W − W0. To begin, we recall the following energy inequalities proved in [4].

Lemma 4.1 [4, Lemma 2.1] Assume that A satisfies the ellipticity condition (2.3).

If either (4.3) or (4.4) holds, then C1

Z

D

|∇u|2 ≤ |W0− W | ≤ C2 Z

D

|∇u|2, (4.7)

where C1, C2 are constants depending only on λ, η, and ζ.

The derivation of bounds on |D| will be based on (4.7) and the following Lipschitz propagation of smallness for u.

Proposition 4.1 (Lipschitz propagation of smallness) Let u ∈ H1(Ω) be the solution of (4.2) with Dirichlet data φ. For any B(x, ρ) ⊂ Ω+, we have that

Z

B(x,ρ)

|∇u|2 ≥ C Z

|∇u|2, (4.8)

where C depends on Ω±, d0, λ0, M0, r0, K0, s0, L0, α, α0, ρ, and kφ − φ0kC1,α0(∂Ω)

kφ − φ0kH1/2(∂Ω)

,

for φ0 = |∂Ω|−1R

∂Ωφ. Here α0 satisfies 0 < α0 < (α+1)nα .

Before proving Proposition4.1, we need to adjust the three-region inequality (3.1) for the C2 interface Σ. Let 0 ∈ Σ and the coordinate transform (x0, y0) = T (x, y) = (x, y − ψ(x)) for x ∈ Bs0(0). Denote ˜U = T (B(0, s0)) and ˜A± = {˜a±i,j}ni,j=1 the coefficients of A± in the new coordinates (x0, y0). It is easy to see that ˜A± satisfies (2.3) and (2.4) with possible different constants ˜λ0, ˜M0, depending on λ0, M0, r0, K0. Then there exist C and ˜R, depending on ˜λ0, ˜M0, n, such that for

0 < R1 < R2 ≤ ˜R (4.9)

and U1, U2, U3 defined as in Theorem 3.1, we have that U3 ⊂ ˜U (so U1, U2 are con- tained in ˜U as well) and (3.1) holds. Now let ˜Uj = T−1(Uj), j = 1, 2, 3, then (3.1) becomes

Z

U˜2

|u|2dxdy ≤ C

Z

U˜1

|u|2dxdy

2R1+3R2R2 Z

U˜3

|u|2dxdy

2R1+2R22R1+3R2

, (4.10)

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where C depends on λ0, M0, r0, K0, n, R1, R2. Furthermore, by Caccioppoli’s inequal- ity and generalized Poincar´e’s inequality (see (3.8) in [2]), we obtain from (4.10) that

Z

U˜2

|∇u|2dxdy ≤ C

Z

U˜1

|∇u|2dxdy

2R1+3R2R2 Z

U˜3

|∇u|2dxdy

2R1+2R22R1+3R2

(4.11) with a possibly different constant C.

Since A+ (respectively A) is Lipschitz in Ω+ (respectively Ω), the following three-sphere inequality is well-known. Let u± be a solution to div(A±∇u±) = 0 in Ω±. Then for B(x0, ¯r) ⊂ Ω+ (or B(x0, ¯r) ⊂ Ω) and 0 < r1 < r2 < r3 < ¯r, we have that

Z

B(x0,r2)

|∇u±|2dxdy ≤ C

Z

B(x0,r1)

|∇u±|2dxdy

θZ

B(x0,r3)

|∇u±|2dxdy

1−θ

, (4.12) where 0 < θ < 1 and C depend on λ0, M0, n, r1/r3, r2/r3.

Now we are ready to prove Proposition 4.1.

Proof of Proposition 4.1. It suffices to study the case where ρ is small. Since Σ ∈ C2, it satisfies both the uniform interior and exterior sphere properties, i.e., there exists a0 > 0 such that for all z ∈ Σ, there exist balls B ⊂ Ω+ and B0 ⊂ Ω of radius a0 such that B ∩ Σ = B0∩ Σ = {z}. Next let νz be the unit normal at z ∈ Σ pointing into Ω+ (inwards) and L = {z + tνz ⊂ Rn : t ∈ [ρ0, −3ρ0]}. We then fix R1, R2 satisfying (4.9) and choose ρ0 > 0 so that

Sz = ∪y∈LB(y, ρ0) ⊂ ˜U2.

Denote κ = R2/(2R1+ 3R2). Note that we move the construction of the three-region inequality from 0 to z.

Let x ∈ Ω+ and consider B(x, ρ) ⊂ Ω+, where ρ ≤ min{a0, ρ0}. For any y ∈ Ω, we discuss three cases.

(i) Let y ∈ Ω+,ρ, then by (4.12) and the chain of balls argument, we have that R

B(y,ρ)|∇u|2 R

|∇u|2 ≤ C R

B(x,ρ)|∇u|2 R

|∇u|2

!θN1

, (4.13)

where N1 depends on Ω+ and ρ.

(ii) Let y ∈ {y ∈ Ω+ : dist(y, Σ) ≤ ρ} ∪ {y ∈ Ω : dist(y, Σ) ≤ 3ρ}, then B(y, ρ) ⊂ Sz for some z ∈ Σ. Note that ˜U1 ⊂ Ω+,ρ (taking ρ even smaller if necessary). We then apply (4.13) iteratively to estimate

R

U˜1|∇u|2 R

|∇u|2 ≤ C R

B(x,ρ)|∇u|2 R

|∇u|2

!θN1

, (4.14)

(13)

where C depends on ˜U1 and ρ. Combining estimates (4.14) and (4.11) yields R

B(y,ρ)|∇u|2 R

|∇u|2 ≤ C R

B(x,ρ)|∇u|2 R

|∇u|2

!κθN1

. (4.15)

(iii) Finally, we consider the case where y ∈ Ω∩Ωand dist(y, Σ) > 3ρ. We observe that if y = z + (−3ρ)νz, then (4.15) implies

R

B(y,ρ)|∇u|2 R

|∇u|2 ≤ C R

B(x,ρ)|∇u|2 R

|∇u|2

!κθN1

. (4.16)

Again using (4.12) and the chain of balls argument (starting with (4.16)), we obtain that

R

B(y,ρ)|∇u|2 R

|∇u|2 ≤ C R

B(x,ρ)|∇u|2 R

|∇u|2

!κθN1θN2

. (4.17)

Putting together (4.13), (4.15), and (4.17) gives R

B(y,ρ)|∇u|2 R

|∇u|2 ≤ C R

B(x,ρ)|∇u|2 R

|∇u|2

!s

(4.18) for all y ∈ Ω, where 0 < s < 1 and C depends on λ0, M0, n, r0, K0, ρ, Ω±.

In view of (4.18) and covering Ω with balls of radius ρ, we have that R

|∇u|2 R

|∇u|2 ≤ C R

B(x,ρ)|∇u|2 R

|∇u|2

!s

. (4.19)

Note that u − φ0 is the solution to (4.2) with Dirichlet boundary value φ − φ0. By Corollary 1.3 in [13], we have that

k∇uk2L(Ω) = k∇(u − φ0)k2L(Ω)≤ Ckφ − φ0k2C1,α0(∂Ω) with 0 < α0 < (α+1)nα , which implies

Z

Ω\Ω

|∇u|2 ≤ C|Ω \ Ω|kφ − φ0k2C1,α0(∂Ω) ≤ Cρkφ − φ0k2C1,α0(∂Ω). (4.20) Here we have used |Ω\Ω| . ρ proved in [3]. Using the Poincar´e inequality, we have

kφ − φ0k2H1/2(∂Ω) ≤ Cku − φ0k2H1(Ω) ≤ Ck∇uk2L2(Ω).

Combining this and (4.20), we see that if ρ is small enough depending on Ω±, d0, λ0, M0, r0, K0, s0, L0, α, α0, ρ, and kφ − φ0kC1,α0(∂Ω)/kφ − φ0kH1/2(∂Ω), then

k∇uk2L2(Ω)

k∇uk2L2(Ω)

≥ 1 2.

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The proposition follows from this and (4.19).

2

We now have enough tools to derive bounds on |D|.

Theorem 4.2 Suppose that the assumptions of this section hold.

(i) If, moreover, there exists h > 0 such that

|Dh| ≥ 1

2|D| (fatness condition). (4.21) Then there exist constants K1, K2 > 0 depending only on Ω±, d0, h, λ0, M0, r0, K0, s0, L0, α, α0, and kφ − φ0kC1,α0(∂Ω)/kφ − φ0kH1/2(∂Ω), such that

K1

W0 − W W0

≤ |D| ≤ K2

W0− W W0

.

(ii) For a general inclusion D contained strictly in Ω+, we assume that there exists d1 > 0 such that

dist(D, ∂Ω+) ≥ d1.

Then there exist constants K1, K20, p > 1, depending only on Ω±, d0, d1, h, λ0, M0, r0, K0, s0, L0, α, α0, and kφ − φ0kC1,α0(∂Ω)/kφ − φ0kH1/2(∂Ω), such that

K1

W0 − W W0

≤ |D| ≤ K20

W0 − W W0

1 p

. (4.22)

Proof. The proof follows closely the arguments in [4] and [17]. The lower bound can be obtained by basic estimates. Let c = 1

|d/4| R

d/4u. By the gradient estimate of [13, Theorem 1.1], the interior estimate of [9, Theorem 8.17] and the Poincar´e inequality for the domain Ωd/4, we have

k∇ukL(Ωd/2) ≤ Cku − ckL(Ωd/3) ≤ Cku − ckL2(Ωd/4)≤ Ck∇ukL2(Ω).

From this, the trivial estimate k∇uk2L2(D) ≤ C|D|k∇uk2L(Ωd/2) and the second in- equality of (4.7), the lower bound follows.

Next, we prove the upper bounds.

(i) Let ρ = h4 and cover Dh with internally nonoverlapping closed squares {Qk}Jk=1 of side length 2ρ. It is clear that Qk ⊂ D, hence

Z

D

|∇u|2dx ≥ Z

Jk=1Qk

|∇u|2dx ≥ |Dh| ρ2 min

k

Z

Qk

|∇u|2dx.

≥ C|D|

ρ2 Z

|∇u|2dx.

(15)

Here we have used Proposition 4.1 and the fatness condition at the last inequality.

The upper bound of |D| follows from this and the first inequality of (4.7).

(ii) To prove the upper bound without the fatness condition, we need the fact that

|∇u|2 is an Ap weight which an easy consequence of the doubling condition for ∇u.

It turns out when D is strictly contained in Ω+ where the coefficient A+ is Lipschitz.

The well-known theorem guarantees that |∇u|2 is an Ap weight in Ω+ (see [8] or [4]), i.e., for any ¯r > 0, there exists B > 0 and p > 1 such that

 1

|B(a, r)|

Z

B(a,r)

|∇u|2

  1

|B(a, r)|

Z

B(a,r)

|∇u|p−12

p−1

≤ B

for any ball B(a, r) ⊂ Ω+,¯r, where B and p depends on various constants listed in Proposition4.1. To derive the upper bound of (4.22), we choose ¯r = d1/2 and follow exactly the same lines as in the proof of Theorem 2.2 [4].

2

Remark 4.3 We point out that part (i) of Theorem4.2 still holds if the assumption (4.6) is replaced by

dist(D, ∂Ω) ≥ d2 > 0.

Acknowledgements

EF and SV were partially supported by GNAMPA - INdAM. EF was partially sup- ported by the Research Project FIR 2013 Geometrical and qualitative aspects of PDE’s. JW was supported in part by MOST102-2115-M-002-009-MY3.

References

[1] G. Alessandrini, A. Morassi, and E. Rosset, Detecting an inclusion in an elastic body by boundary measurements, SIAM J. Math. Anal., 33 (2002), 1247-1268.

[2] G. Alessandrini, A. Morassi, and E. Rosset, The linear constraints in Poincar´e and Korn type inequalities, Forum Math., 20 (2008), 557-569.

[3] G. Alessandrini and E. Rosset, The inverse conductivity problem with one mea- surement: bounds on the size of the unknown object, SIAM J. Appl. Math., 58 (1998), 1060-1071.

[4] G. Alessandrini, E. Rosset, and J. K. Seo, Optimal size estimate for the inverse conductivity problem with one measurement, Proc. AMS, 128 (1999), 53-64.

[5] M. Di Cristo, E. Francini, C. L. Lin, S. Vessella, and J. N. Wang, Carleman estimate for second order elliptic equations with Lipschitz leading coefficients and jumps at an interface, preprint, arXiv:1505.06084.

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[6] M. Di Cristo, C. L. Lin, S. Vessella, and J. N. Wang, Size estimates of the inverse inclusion problem for the shallow shell equation, SIAM J Math Anal, 45 (2013), 88-100.

[7] M. Di Cristo, C. L. Lin, and J. N. Wang, Quantitative uniqueness for the shallow shell system and their application to an inverse problems, Ann. Sc.

Norm. Super. Pisa Cl. Sci. (5) Vol. XII (2013), 43-92.

[8] N. Garofalo and F. H. Lin, Monotonicity properties of variational integrals, Ap weights and unique continuation, Indiana Univ. Math. J., 35, 245-268, 1986.

[9] D. Gilbarg and N. Trudinger, Elliptic Partial Differential Equations of Second Order, 2nd Ed., Springer 1998.

[10] J. Le Rousseau and N. Lerner, Carleman estimates for anisotropic elliptic oper- ators with jumps at an interface, Analysis & PDE, 6 (2013), No. 7, 1601-1648.

[11] J. Le Rousseau and L. Robbiano, Carleman estimate for elliptic operators with coefficients with jumps at an interface in arbitrary dimension and application to the null controllability of linear parabolic equations, Arch. Rational Mech.

Anal., 195 (2010), 953-990.

[12] J. Le Rousseau and L. Robbiano, Local and global Carleman estimates for parabolic operators with coefficients with jumps at interfaces, Inventiones Math., 183 (2011), 245-336.

[13] Y. Y. Li and M. Vogelius, Gradient estimates for solutions to divergence form elliptic equations with discontinuous coefficients, Arch. Rational Mech. Anal., 153 (2000), 91-151.

[14] A. Morassi, E. Rosset, and S. Vessella, Size estimates for inclusions in an elastic plate by boundary measurements, Indiana Univ. Math. J. 56 (2007), 2325-2384.

[15] A. Morassi, E. Rosset, and S. Vessella, Detecting general inclusions in elastic plates, Inverse Problems, 25 (2009).

[16] A. Morassi, E. Rosset, and S. Vessella, Estimating area of inclusions in anisotropic plates from boundary data, Dis. Cont. Dyn. Sys., Series S, 6 (2013), 501-515.

[17] T. Nguyen and J. N. Wang, Estimate of an inclusion in a body with discontin- uous conductivity, Bulletin Inst. Math. Academia Sinica, New Series, 9 (2014), 45-56.

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