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Carleman estimates with second large parameter for second order operators Victor Isakov * Nanhee Kim Abstract In this paper we prove Carleman type estimates with two large parameters for general linear partial differential operators of second order. By using sec- ond large parameter we derive from results for scalar equations first Carleman estimates for dynamical Lam´ e system with residual stress. We apply these es- timates to obtain a H¨ older and Lipschitz stability estimates of continuation of solutions of this system under some pseudo-convexity assumptions. So we ob- tain first uniqueness and stability of the continuation results for an important anisotropic system of elasticity without assumption that this system is close to an isotropic system. 1 Introduction We consider the general partial differential operator of second order A = n j,k=1 a jk j k + b j j + c in a bounded domain Ω of the space R n with the real-valued coefficients a jk C 1 ( ¯ Ω),b j ,c L (Ω). The principal symbol of this operator is A(x; ζ )= a jk (x)ζ j ζ k . (1.1) We use the following convention and notations. Sums are over repeated indices j, k, l, m =1, ..., n. Let =(1 ,...,∂ n ),D = -i∂ , α =(α 1 ,...,α n ) is a multi-index with integer components, ζ α = ζ α 1 1 ··· ζ αn n , D α and α are defined similarly. ν is the outward normal to the boundary of a domain, C are generic constants (different at * Department of Mathematics and Statistics, Wichita State University, Wichita, KS 67206, USA. Email:[email protected] Department of Mathematics and Statistics, Wichita State University, Wichita, KS 67206, USA. Email:[email protected] 1

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  • Carleman estimates with second large parameter forsecond order operators

    Victor Isakov∗ Nanhee Kim†

    Abstract

    In this paper we prove Carleman type estimates with two large parametersfor general linear partial differential operators of second order. By using sec-ond large parameter we derive from results for scalar equations first Carlemanestimates for dynamical Lamé system with residual stress. We apply these es-timates to obtain a Hölder and Lipschitz stability estimates of continuation ofsolutions of this system under some pseudo-convexity assumptions. So we ob-tain first uniqueness and stability of the continuation results for an importantanisotropic system of elasticity without assumption that this system is close toan isotropic system.

    1 Introduction

    We consider the general partial differential operator of second order

    A =n∑

    j,k=1

    ajk∂j∂k +∑

    bj∂j + c

    in a bounded domain Ω of the space Rn with the real-valued coefficients ajk ∈C1(Ω̄), bj, c ∈ L∞(Ω). The principal symbol of this operator is

    A(x; ζ) =∑

    ajk(x)ζjζk. (1.1)

    We use the following convention and notations. Sums are over repeated indicesj, k, l,m = 1, ..., n. Let ∂ = (∂1, . . . , ∂n), D = −i∂, α = (α1, . . . , αn) is a multi-indexwith integer components, ζα = ζα11 · · · ζαnn , Dα and ∂α are defined similarly. ν is theoutward normal to the boundary of a domain, C are generic constants (different at

    ∗Department of Mathematics and Statistics, Wichita State University, Wichita, KS 67206, USA.Email:[email protected]

    †Department of Mathematics and Statistics, Wichita State University, Wichita, KS 67206, USA.Email:[email protected]

    1

  • different places) depending only on the operators A or AR, on the function ψ, andon the domain Ω. Any additional dependence will be indicated. We recall

    ‖u‖(k)(Ω) = (∑|α|≤k

    ∫Ω

    |∂αu|2)12

    the norm in the Sobolev space H(k)(Ω) and ‖‖2 = ‖‖(0) is the L2-norm.

    A function ψ is called pseudo-convex on Ω̄ with respect to A if ψ ∈ C2(Ω̄),A(x,∇ψ(x)) 6= 0, x ∈ Ω̄, and∑

    ∂j∂kψ(x)∂A

    ∂ζj

    ∂A

    ∂ζk(x; ξ) +

    ∑(∂A

    ∂ζk∂k∂A

    ∂ζj− ∂kA

    ∂2A

    ∂ζj∂ζk)∂jψ(x, ξ) ≥ K|ξ|2 (1.2)

    for some positive constant K, for any ξ ∈ Rn and any point x of Ω̄ provided

    A(x; ξ) = 0,∑ ∂A

    ∂ζj(x, ξ)∂jψ(x) = 0. (1.3)

    We will use the weight function

    ϕ = eγψ (1.4)

    and let σ = γτϕ, Ωε = Ω ∩ {ψ(x) > ε}. .

    Theorem 1.1. Let ψ be pseudo-convex with respect to A in Ω̄.Then there are constants C, C0(γ) such that∫

    σ3−2|α|e2τϕ|∂αu|2 ≤ C∫

    e2τϕ|Au|2 (1.5)

    for all u ∈ C20(Ω), |α| ≤ 1, C < γ, and C0(γ) < τ .

    The weighted energy type estimates with large parameter τ were first introducedby Carleman in 1939 to prove first uniqueness of the continuation results for ellip-tic systems with nonanalytic coefficients on the plane. His idea turned out to beextremely fruitful, and in 1950-70s it was applied to many important partial differ-ential equations. Hörmander [6] linked it to the pseudo-convexity condition for thetheory of functions of several complex variables and to energy estimates for generalhyperbolic equations. At present, there are several interesting (and in some casescomplete) results on Carleman estimates and uniqueness of the continuation for sec-ond order equations, including elliptic, parabolic , Schrödinger type, and hyperbolicequations [10], [15].

    Systems of partial differential equations however still remain a serious challenge.The only available general result is the celebrated theorem of Calderon of 1958 which

    2

  • is applicable mainly to some elliptic systems. There is a progress for classical dynam-ical isotropic Maxwell and elasticity systems [5], [8]. First uniqueness of continuationresults for some anisotropic systems (including thermoelasticity system) were ob-tained by Albano and Tataru [1] and Isakov [9]. It was crucial in this papers to useCarleman type estimates with two large parameters (1.5) first introduced and appliedto the classical elasticity system in [8]. In [3] Theorem 1.1 (for C∞-coefficients) wasstated without proof and in [4] there are not complete proofs for isotropic hyperbolicequations.

    As an important application of Theorem 1.1 we consider an elasticity systemwith residual stress R [11], [12], [16]. This is an anisotropic system. At present, thereare results on the uniqueness of the continuation and identification of its coefficientsunder the assumption that the residual stress is ”small” (without a quantitativebound of how small). In [17] there are uniqueness of the identification theorems forsome coefficients of the residual stress under quite complicated conditions and fromall possible boundary data. We derive global uniqueness of the continuation resultsin Ω0 ⊂ Ω under some pseudo-convexity conditions on a weight function ψ definingΩ0. In Theorems 1.2, 1.3, 1.4 we let x ∈ R3 and (x, t) ∈ Ω ⊂ R4. The residual stressis modeled by a symmetric second-rank tensor R(x) = (rjk(x))

    3j,k=1 ∈ C2(Ω) which is

    divergence free: ∇ · R = 0. Let u(x, t) = (u1, u2, u3)> : Ω → R3 be the displacementvector in Ω. We introduce the operator of the linear elasticity with the residual stress

    ARu = ρ∂2t u− µ∆u− (λ+ µ)∇(divu)−∇λdivu− 2�(u)∇µ− div((∇u)R), (1.6)

    where ρ ∈ C1(Ω̄), λ, µ ∈ C2(Ω̄) are density and Lame parameters depending only onx, �(u) = (1

    2(∂iuj + ∂jui)). Let 2(µ;R) = ∂

    2t −

    ∑jk

    µδjk+rjkρ

    ∂j∂k and σ = τγϕ.

    Theorem 1.2. Let ψ be pseudo-convex with respect to 2(µ;R); 2(λ+ 2µ;R) in Ω̄.Then there are constants C,C0(γ) such that∫

    Ω(σ(|∇x,tu|2 + |∇x,tdivu|2 + |∇x,tcurlu|2)+

    σ3(|u|2 + |divu|2 + |curlu|2))e2τϕ≤ C

    ∫Ω(|ARu|2 + |∇(ARu)|2)e2τϕ

    (1.7)

    for all u ∈ H0(3)(Ω), C < γ,C0 < τ .

    In [11] this result was obtained when R is “small”.Let us consider the following Cauchy problem

    ARu = f in Ω, u = g0, ∂νu = g1 on Γ ⊂ ∂Ω, (1.8)

    where Γ ∈ C3. The Carleman estimate of Theorem 1.2 by standard argument ([10],section 3.2) implies the following conditional Hölder stability estimate for (1.8) in Ωδ(and hence uniqueness in Ω0).

    3

  • Theorem 1.3. Suppose that all coefficients λ, µ, ρ, R are in C2(Ω̄). Let ψ be pseudo-convex with respect to 2(µ;R); 2(λ+ 2µ;R) in Ω̄0. Assume that Ω̄0 ⊂ Ω ∪ Γ.

    Then there exist C(δ), κ(δ) ∈ (0, 1) such that for a solution u ∈ H(3)(Ω) to (1.8)one has

    ‖u‖(2)(Ωδ) ≤ C(F +M1−κF κ), (1.9)

    where F = ‖f‖(1)(Ω0) + ‖g0‖( 52)(Γ) + ‖g1‖( 3

    2)(Γ), M = ‖u‖(2)(Ω).

    In Theorem 1.4 we assume that Ω = G × (−T, T ) and that the system (1.8) ist-hyperbolic. Applying known theory [2] one can show that a sufficient condition is

    0 ≤ λ, 0 < 2µI3 +R on Ω̄.

    The last condition is satisfied when any eigenvalue of the matrix R is strictly greaterthan −2µ. This happens when, for example,

    ∑2i,j=1 r

    3ij < 4µ

    2 on Ω̄. We use theconventional energy integral

    E(t;u) =

    ∫G

    (|∂tu|2 + |∇u|2 + |u|2)(, t).

    Theorem 1.4. Suppose that λ, µ, ρ, R are in C2(Ω̄). Let ψ be pseudo-convex withrespect to 2(µ;R); 2(λ+ 2µ;R) in Ω̄. Assume that

    ψ < 0 on Ḡ× {−T, T}, 0 < ψ on G× {0}.

    Then there exist C such that for a solution u ∈ H(3)(Ω) to (1.8) one has

    E(t;u) + E(t;∇u) ≤ C(‖f‖(1)(Ω) + ‖g0‖( 52)(Γ) + ‖g1‖( 3

    2)(Γ)). (1.10)

    The paper is organized as follows. In section 2 we describe two kinds of knownsufficient conditons of pseudo-convexity of two kinds of functions ψ with respectto general anisotropic hyperbolic operator A. Also we give a simple new conditionof pseudo-convexity when R is small relative to constant ρ, µ, λ and we describeexplicitly this smallness condition. Section 3 is central. Here we prove Theorem 1.1 byusing such an explicit form of pseudo-convexity conditions for second order operatorsthat one can trace dependence on second large parameter γ. The crucial part of theproof is Lemma 3.2 which gives a bound on symbol of differential quadratic form.Finding a suitable form of this bound was a decisive step in deriving Theorem 1.1.In the remaining part of section 3 we conclude the proof by using standard Fourieranalysis methods augmented by proper localization and use of large parameter τ . Insections 4, 5, 6 we modify methods in [10], Chapter 3, [11], and [12] to derive fromTheorem 1.1 Carleman estimates and local (of Hölder type) and global (of Lipschitztype) stability estimates for lateral Cauchy problems for system (1.6). Finally wediscuss open problems and their possible solutions.

    4

  • 2 Pseudo-convexity condition

    It is not easy to find functions ψ which are pseudo-convex with respect to a generalanisotropic operator, in particular, to the hyperbolic operatorA = ∂2t−

    ∑nj,k=1 a

    jk∂j∂k.

    In the isotropic case, explicit and verifiable conditions for ψ(x, t) = |x − β|2 − θ2t2were found by Isakov in 1980 and their simplifiications are given in [10], section 3.4.In case of general hyperbolic equations Khaidarov [14] showed that the same ψ ispseudo-convex if the speed of the propagation determined by A is monotone in acertain direction. The most suitable choice is ψ(x, t) = d2(x, β) − θ2t2 where d isthe distance in the Riemannian metrics determined by the spacial part of A. Thischoice in many cases leads to an exact description of uniqueness domain. Lasiecka,Triggiani, and Yao [15] showed that this function is indeed pseudo-convex when d2

    is convex in the Riemannian metric. Romanov [18] gave a simple independent proofand emphasized that negativity of sectional curvatures is sufficient.

    The known conditions of pseudo-convexity in the anisotropic case are hard toverify. For example, conditions in [15], [18] impose restrictions on second partialsof ajk. In applications, residual stress is relatively small [16]. Motivated by thesereasons, we will give simple sufficient condition of pseudo-convexity for R where”smallness” of R is explicit, contrary to the conditions in [11], [12].

    We will use the matrix norm ‖R‖ = (∑3

    j,k=1 r2jk)

    12 .

    Lemma 2.1. Let θ, s be some numbers and β ∈ Rn. Let ρ, λ, µ be constants, thematrix R be symmetric positive at any point of Ω and

    2µρθ2 + 3‖R + µI‖‖∇R‖|x− β| < 2µ2 on Ω. (2.1)

    Letθ2 <

    µ

    ρ(2.2)

    Then the function ψ(x, t) = |x− β|2 − θ2t2 − s2 is pseudo-convex with respect tothe anisotropic wave operator A = 2(µ;R) in Ω̄ ∩ {|x− β|2 > θ2t2}.

    Proof. Due to the definition we need the positivity of the quadratic form

    H =n∑

    j,k=0

    ∂j∂kψ∂A

    ∂ξj

    ∂A

    ∂ξk+

    n∑j,k=0

    ((∂k

    ∂A

    ∂ξj)∂A

    ∂ξk− ∂kA

    ∂2A

    ∂ξj∂ξk

    )∂jψ.

    Straightforward calculations with A(x, ζ) = ζ20 −µρζ · ζ −

    ∑nj,k=1

    rjkρζjζk give

    H = −8θ2ξ20 + 8n∑j=1

    (1ρ(n∑k=1

    rjkξk + µξj))2

    +n∑

    j,k=1

    {(− 2ρ

    n∑l=1

    ∂krjlξl)(− 2ρ(

    n∑m=1

    rkmξm + µξk))(2(x− β)j)

    }5

  • −3∑

    j,k=1

    {(− 1ρ

    3∑l,m=1

    ∂krlmξlξm)(− 2ρ(rjk + µδjk)

    )(2(x− β)j)

    }= −8

    ρµθ2|ξ|2 − 8

    ρθ2

    n∑j,k=1

    rjkξjξk +8

    ρ2

    n∑j=1

    ((n∑k=1

    rjkξk)2 + 2µξj(

    n∑k=1

    rjkξk) + µ2ξ2j

    )+

    8

    ρ2

    n∑j,k=1

    {( n∑l=1

    ∂krjlξl)( n∑

    m=1

    rkmξm + µξk)((x− β)j)

    }−

    4

    ρ2

    n∑j,k=1

    {( n∑l,m=1

    ∂krlmξlξm)(rjk + µδjk

    )((x− β)j)

    }.

    Hence,

    H ≥ −8ρµθ2|ξ|2 − 8

    ρθ2

    n∑j,k=1

    rjkξjξk +8

    ρ2

    n∑j=1

    (n∑k=1

    rjkξk)2 +

    16

    ρ2µ

    n∑j,k=1

    rjkξjξk) +8

    ρ2µ2|ξ|2

    − 8ρ2|

    n∑j,k=1

    {( n∑l=1

    ∂krjlξl)( n∑

    m=1

    rkmξm + µξk)((x− β)j)

    }|−

    4

    ρ2|

    n∑j,k=1

    {( n∑l,m=1

    ∂krlmξlξm)(rjk + µδjk

    )((x− β)j)

    }|

    ≥ 8ρ(µ2

    ρ−µθ2)|ξ|2+8

    ρ(2µ

    ρ−θ2)

    n∑j,k=1

    rjkξkξk−8

    ρ2

    n∑k=1

    ‖∂kR‖|ξ||x−β|n∑

    m=1

    |rkm+µδkm||ξm|−

    4

    ρ2

    n∑j,k=1

    ‖∂kR‖|ξ|2|rjk + µδjk||(x− β)j|

    where we used the relation

    |n∑

    j,k=1

    rjkξjηk| ≤ ‖R‖|ξ||η|

    which follows from the Cauchy-Schwartz inequality. Using this inequality again weconclude that

    H ≥ 8ρ(µ2

    ρ− µθ2)|ξ|2 − 12

    ρ2‖R + µI‖‖∇R‖|x− β||ξ|2

    Hence the positivity of H follows from (2.1).Since |x− β|2 > θ2t2 we have

    A(x,∇ψ(x)) = 4θ4t2 − µρ4|x− β|2 −

    n∑j,k=1

    rjkρ

    4(x− β)j(x− β)k <

    6

  • 4((θ2 − µρ)|x− β|2 −

    n∑j,k=1

    rjkρ

    (x− β)j(x− β)k) < 0

    on Ω̄ ∩ {|x− β|2 > θ2t2} due to the condition (2.2) and the definition of Ω0. So ∇ψis not characteristic on this set.

    3 Proof of Carleman estimates for scalar opera-

    tors.

    In the following ζ(ϕ)(x) = ξ + iτ∇ϕ(x). We will introduce the differential quadraticform

    F(x, τ,D, D̄)vv̄ = |A(x,D + iτ∇ϕ(x))v|2 − |A(x,D − iτ∇ϕ(x))v|2. (3.1)

    This differential quadratic form is of order (3, 2), since the coefficients of the principalpart of A are real valued. By Lemma 8.2.2 in Hörmander’s book [6] there existsdifferential quadratic form G(x, τ,D, D̄) of order (2, 1) such that∫

    G(x,D, D̄)vv̄ =∫

    F(x,D, D̄)vv̄ (3.2)

    and its symbol

    G(x, τ, ξ, ξ) = 12

    ∑ ∂2∂xk∂ηk

    F(x, τ, ζ, ζ̄), ζ = ξ + iη, at η = 0,

    where

    F(x, τ, ζ, ζ̄) = A(x, ζ + iτ∇ϕ)A(x, ζ̄ − iτ∇ϕ)− A(x, ζ − iτ∇ϕ)A(x, ζ̄ + iτ∇ϕ).

    Lemma 3.1. We haveG(x, τ, ξ, ξ) =

    2τ∑ ∂A

    ∂ζj

    ∂A

    ∂ζk∂j∂kϕ + 2=

    ∑∂kA

    ∂A

    ∂ζk+2=

    ∑A

    ( ∂2A∂ζk∂xk

    − iτ ∂2A

    ∂ζj∂ζk∂j∂kϕ

    )(3.3)

    where A, ∂kA, ... are taken at (x, ζ(ϕ)(x)).

    Proof:Indeed, at η = 0

    1

    2

    ∑ ∂2∂xk∂ηk

    F(x, ξ + iη, ξ − iη)

    =1

    2

    ∑∂k

    (i∂A

    ∂ζk(x, ξ + iτ∇ϕ)A(x, ξ − iτ∇ϕ)− iA(x, ξ + iτ∇ϕ) ∂A

    ∂ζk(x, ξ − iτ∇ϕ)

    −i ∂A∂ζk

    (x, ξ − iτ∇ϕ)A(x, ξ + iτ∇ϕ) + iA(x, ξ − iτ∇ϕ) ∂A∂ζk

    (x, ξ + iτ∇ϕ))

    7

  • = i∑

    ∂k( ∂A∂ζk

    (x, ζ(ϕ))A(x, ζ̄(ϕ)) − ∂A∂ζk

    (x, ζ̄(ϕ))A(x, ζ(ϕ))).

    Using that i(zw̄ − z̄w) = −2=(zw̄), we yield

    G(x, τ, ξ, ξ) = −2=∑

    ∂k( ∂A∂ζk

    (x, ζ(ϕ)(x))A(x, ζ̄(ϕ(x)))

    =

    = −2=∑ (

    (∂2A

    ∂xk∂ζk(x, ζ(ϕ)) + iτ∂j∂kϕ

    ∂2A

    ∂ζj∂ζk(x, ζ(ϕ)))A(x, ζ̄(ϕ))

    +∂A

    ∂ζk(x, ζ(ϕ))

    ∂A

    ∂xk(x, ζ̄(ϕ))− iτ∂j∂kϕ

    ∂A

    ∂ζk(x, ζ(ϕ))

    ∂A

    ∂ζj(x, ζ̄(ϕ))

    )(3.4)

    by chain rule and the fact that∂ζj∂xk

    = iτ∂j∂kϕ. Observing that in the notation of

    Lemma 3.1 A(, ζ̄(ϕ)) = Ā, that −=(zw̄) = =(z̄w), reminding that the coefficients ofA are real-valued and hence ∑

    ∂j∂kϕ∂A

    ∂ζk

    ∂A

    ∂ζj

    is real valued, (3.3) follows from (3.4).The proof is complete.The following differentiation formulae follow from (1.4) and will be used in our

    proofs∂jϕ = γϕ∂jψ , ∂j∂kϕ = γϕ∂j∂kψ + γ

    2ϕ∂jψ∂kψ. (3.5)

    Using these formulae, from Lemma 3.1 by standard calculations we yield:

    τ−1G(x, τ, ξ, ξ) = G1(x, τ, ξ, ξ) + G2(x, τ, ξ, ξ) + G3(x, τ, ξ, ξ) + G4(x, τ, ξ, ξ) (3.6)

    where

    G1(x, τ, ξ, ξ) = 8γϕ∑

    ajmakl(ξmξl + σ2∂mψ∂lψ)∂j∂kψ,

    G2(x, τ, ξ, ξ) = 4γϕ∑

    alk∂kajm(σ2∂jψ∂mψ∂lψ + 2ξmξl∂jψ − ξjξm∂lψ),

    G3(x, τ, ξ, ξ) = 4γϕ(2∑

    akm∂jalj∂kψξlξm

    −∑

    ajk(∂malm∂lψ + a

    lm∂l∂mψ)(ξjξk − σ2∂jψ∂kψ)),

    G4(x, τ, ξ, ξ) = 4γ2ϕ((2∑

    ajmξm∂jψ)2 + 2σ2(

    ∑ajm∂jψ∂mψ)

    2

    − (∑

    alm(ξlξm − σ2∂lψ∂mψ))(∑

    ajk∂jψ∂kψ)).

    Observe that the terms of τ−1G with highest powers of λ are collected in G4.

    Proof of Theorem 1.1.First, make the substitution u = e−τϕv. Obviously, Dk(e

    −τϕv) = e−τϕ(Dk +iτ∂kϕ)v. Hence∑

    ajkDjDk(e−τϕv) =

    ∑ajke−τϕ(Dj + iτ∂jϕ)(Dk + iτ∂kϕ)v

    8

  • Accordingly, the bound (1.5) is transformed into∑ ∫Ω

    σ3−2|α||∂αv|2 ≤ C∫

    |A(, D + iτ∇ϕ)v|2 (3.7)

    Lemma 3.2. Under conditions of Theorem 1.1 for any ε0 there is C such that

    γϕ(x)(2K − ε0)|ζ(ϕ)(x))|2 ≤ τ−1G(x, τ, ξ, ξ) + γϕ(x)Cγ2|A(x, ζ(ϕ)(x))|2

    |ζ(ϕ)(x)|2(3.8)

    for all C < γ, ξ ∈ Rn, and x ∈ Ω̄.

    Proof:By homogeneity reasons we can assume |ζ(ϕ)|(x) = 1. In the proof we will use

    that

    A(x, ζ(ϕ)(x)) =n∑

    j,k=1

    ajk(ξjξk − σ2∂jψ∂kψ) + 2in∑

    j,k=1

    ajkσξj∂kψ =

    A(x, ξ)− σ2A(x,∇ψ(x)) + 2iσ∑ ∂A

    ∂ζj(x, ξ)∂jψ(x) (3.9)

    To show (3.8) we will use pseudo-convexity of ψ and consider 4 possible cases.Case 1):

    σ = 0, A(x, ξ) = 0,∑ ∂A

    ∂ζj(x, ξ)∂jψ(x) = 0. (3.10)

    Thenσ = 0,

    ∑ajkξjξk = 0,

    ∑ajkξj∂kψ = 0,

    and from (3.6) we yieldτ−1G(x, 0, ξ, ξ)

    = 2γϕ∑

    ∂j∂kψ2ajmξm2a

    klξl + 4γϕ∑

    alk∂kajm(2ξlξm∂jψ − ξjξm∂lψ) =

    2γϕ∑

    ∂j∂kψ∂A

    ∂ζj

    ∂A

    ∂ζk+ 2γϕ

    ∑((∂k

    ∂A

    ∂ζj)∂A

    ∂ζk− (∂kA)

    ∂2A

    ∂ζj∂ζk)∂jψ(x, ξ) ≥

    2γϕK

    by pseudo-convexity of ψ (1.2).Case 2):

    σ < δ, |γ(A(x, ξ)− σ2A(x,∇ψ(x)))| < δ, (3.11)

    where δ is a (small) positive number to be chosen later.Using (3.6) as in the case 1), bounding the terms with σ2 by −Cγϕδ and dropping

    the second (positive) term in G4 we obtain

    τ−1G(x, τ, ξ, ξ) ≥

    9

  • 2γϕ∑

    2ajmξm2aklξl∂j∂kψ − Cγϕδ2 + 4γϕ

    ∑alk∂ka

    jm(2ξlξm∂jψ − ξjξm∂lψ)+

    4γϕ2∑

    ∂jaljξl(a

    km∂kψξm)−4γϕ∑

    ajk(ξjξk−σ2∂jψ∂kψ)∑

    (∂malm∂lψ+a

    lm∂l∂mψ)+

    8γ2ϕ(∑

    ajmξm∂jψ)2 − γϕ(γ

    ∑ajk(ξjξk − σ2∂jψ∂kψ))(

    ∑alm∂lψ∂mψ) ≥

    2γϕ(∑

    ∂j∂kψ2ajmξm2a

    klξl + 2∑

    alk∂kajm(2ξlξm∂jψ − ξjξm∂lψ))−

    Cγϕδ + 8γϕγ(∑

    ajkξj∂kψ)2, (3.12)

    due to (3.9) and (3.11).Let us assume in addition to (3.11) that

    |∑ ∂A

    ∂ζj(x, ξ)∂jψ(x)| < δ. (3.13)

    Then the function

    h(x, ξ, σ) =∑

    ∂j∂kψ(x)2ajm(x)ξm2a

    kl(x)ξl+

    2∑

    alk∂kajm(x)(2ξlξm∂jψ(x)− ξjξm∂lψ(x)) ≥ K − ε(δ) (3.14)

    due to continuity arguments, compactness of the set

    M = {(x, ξ, σ) : x ∈ Ω̄, |ξ|2 + σ2|∇ψ(x)|2 = 1},

    and (3.11). Here ε(δ) → 0 as δ → 0.Indeed, assuming the opposite of (3.14) we yield a positive number ε1 and a se-

    quence (x(k), ξ(k), σ(k)) ∈ M such that h((x(k), ξ(k), σ(k)) ≤ K − ε1 and (3.11),(3.13) hold with δ = k−1. Since M is compact (by extracting when needed a sub-sequence) we may assume that (x(k), ξ(k), σ(k)) → (x, ξ, 0) ∈ M as k → +∞. Bycontinuity h(x, ξ, 0) ≤ K − ε1. On the other hand by the choice of the sequence ,using that 1 ≤ γ, (x, ξ, 0) satisfies (3.10). Hence by case 1) h(x, ξ, 0) ≥ K and wehave a contradiction.

    Because of (3.14) the right side in (3.12) is greater than

    γϕ(2K − ε(δ)− Cδ) ≥ γϕ(2K − ε0).

    Here we let δ < 1C, so that ε(δ)+Cδ < ε0. From now on we will fix such δ and denote

    it by δ0. We can choose δ0 to be dependent on the same parameters as C.If

    |∑ ∂A

    ∂ζj(x, ξ)∂jψ(x)| ≥ δ0,

    then using (3.11) with δ = δ0 we conclude that the right side in (3.12) is greater than

    −Cγϕ+ 8γϕγδ20 ≥ γϕ2K

    10

  • when γ > 8−1δ−20 (C + 2K).Finally, the condition (3.11) with δ = δ0 implies (3.8).To conclude the proof we observe that due to (3.9) in addition to (3.11) only the

    following cases 3 and 4 are possible.Case 3): σ > δ0, |γ δ0From (3.6) we similarly have

    τ−1G(x, τ, ξ, ξ) + γϕ(x)C1|γA(x, ζ(ϕ)(x))|2 ≥

    −Cγϕ(x)− Cγ2ϕ|A(x, ζ(ϕ)(x))|+ γϕC1|γA(x, ζ(ϕ)(x))|2 ≥−Cγϕ(x)− Cγϕ(x)|γA(x, ζ(ϕ)(x))|+ γϕC1|γA(x, ζ(ϕ)(x))|2 ≥

    −Cγϕ(x)+Cγϕ(x)|γA(x, ζ(ϕ)(x))|(C12C

    |γA(x, ζ(ϕ)(x))|−1)+γϕ(x)C12|γA(x, ζ(ϕ)(x))|2 ≥

    −Cγϕ(x) + Cγϕ(x)|γA(x, ζ(ϕ)(x))|(C1δ02C

    − 1) + γϕ(x)C12δ20 ≥ Kγϕ(x)

    when C1 >2Cδ0

    + C+2K2δ20

    .

    The proof is complete.We fix x0 ∈ Ω̄, introduce the norm

    |||v|||−1 = (∫

    |v̂(ξ)|2

    |ξ|2 + τ 2γ2ϕ2(x0)|∇ψ(x0)|2dξ

    ) 12(3.15)

    and observe that|||v|||−1 ≤ Cτ−1||v||2. (3.16)

    Lemma 3.3. There is a function ε(δ; γ) → 0 as δ → 0 and γ is fixed and C(γ) suchthat

    τ−1|(G(x0, τ,D, D̄)− G(, τ,D, D̄))vv̄| ≤ ε(δ; γ)∑|α|≤1

    τ 2−2|α||∂αv|2, (3.17)

    |||A(x0, D + iτ∇ϕ(x0))v − A(, D + iτ∇ϕ)v|||2−1 ≤

    (ε(δ; γ) + C(γ)τ−1)∑|α|≤1

    (γτϕ(x0))2−2|α|

    ∫|∂αv|2 (3.18)

    for all v ∈ C20(B(x0; δ)).

    11

  • Proof: Due to (3.6)

    τ−1(G(x0, τ,D, D̄)− G(, τ,D, D̄))vv̄ =∑(γ(ϕ(x0)a

    jk1 (x0)−ϕ(x)a

    jk1 (x))∂jv(x)∂kv(x))+γ

    3τ 2(ϕ(x0)2ajk2 (x0)−ϕ(x0)2a

    jk2 )v(x)v(x)+

    γ2∑

    ((ϕ(x0)ajk3 (x0)−ϕ(x)a

    jk3 (x))∂jv(x)∂kv(x))+γ

    4τ 2(ϕ(x0)2ajk4 (x0)−ϕ(x0)2a

    jk4 (x))v(x)v(x)

    where ajkl are continuous functions determined only byA and ψ. Since |ϕ(x0)majkl (x0)−

    ϕ(x)majkl (x)| ≤ ε(δ; γ) when |x− x0| < δ, (3.17) follows by the triangle inequality.We have

    |||A(x0, D + iτ∇ϕ(x0))v − A(, D + iτ∇ϕ)v|||−1 ≤

    ≤ |||∑

    (ajk(x0)− ajk)(∂j − τ∂jϕ(x0))(∂k − τ∂kϕ(x0))v|||−1 ≤

    C(δ + τ−1)||(∂ − τ∂ϕ)v||2 ≤ (ε(δ; γ) + C(γ)τ−1)∑|α|≤1

    τ 1−|α|||∂αv||2 (3.19)

    by Lemma 8.4.1 in [6].Furthermore,

    |||A(, D + iτ∇ϕ(x0))v − A(, D + iτ∇ϕ)v|||−1 =

    |||∑

    ajk((∂j − τ∂jϕ(x0))(∂k − τ∂kϕ(x0))− (∂j − τ∂jϕ)(∂k − τ∂kϕ))v|||−1 ≤

    |||∑

    ajk(τ 2(∂jϕ(x0)∂kϕk(x0)− ∂jϕ∂kϕ) + 2τ(∂jϕ− ∂jϕ(x0))∂k + τ(∂j∂kϕ)v)|||−1 ≤∑τ 2|||ajk(∂jϕ∂kϕ− ∂jϕ(x0)∂kϕ(x0))v|||−1+

    2∑

    τ |||(∂jϕ− ∂jϕ(x0))∂kv|||−1 + τ∑

    |||∂j∂kϕv|||−1

    Hence by using the property of the norm (3.15) we yield

    |||A(, D + iτ∇ϕ)v − A(, D + iτ∇ϕ(x0))v|||−1 ≤

    Cτ∑

    ||ajk(∂jϕ∂kϕ− ∂jϕ(x0)∂kϕ(x0))v||2+

    2∑

    ||(∂jϕ− ∂jϕ(x0))∂kv||2 +∑

    ||∂j∂kϕv||2 ≤

    τε(δ; γ)||v||2 + ε(δ; γ)∑

    ||∂kv||2 +C(γ)||v||2 ≤ (ε(δ; γ) +C(γ)τ−1)∑|α|≤1

    τ 1−|α|||∂αv||2

    Hence by using (3.19)

    |||A(x0, D + iτ∇ϕ(x0))v − A(x,D + iτ∇ϕ(x))v|||−1

    ≤ |||A(x0, D + iτ∇ϕ(x0))v − A(x,D + iτ∇ϕ(x0))v|||−1+ |||A(x,D + iτ∇ϕ(x0))v − A(x,D + iτ∇ϕ(x))v|||−1 ≤

    12

  • (ε(δ; γ) + C(γ)τ−1)∑|α|≤1

    τ 1−|α|||∂αv||2.

    The proof is complete.Now we continue the proof of Theorem 1.1.By using Parseval’s identity,

    (τ 2|∇ϕ(x0)|2)m−|α|∫|∂αv|2dx ≤ (2π)−n

    ∫|ζ|2m(ϕ)(x0)|v̂(ξ)|2dξ

    Hence multiplying the inequality (3.8) by |v̂(ξ)|2, v ∈ C20(Ωε), and integrating overRn we yield

    C−1γϕ(x0)∑|α|≤1

    ∫(γτϕ(x0))

    2−2|α||∂αv|2 ≤

    τ−1∫G(x0, τ,D, D̄)vv̄ + γϕ(x0)γ2

    ∫|A(x0, ζ(ϕ)(x0))|2

    |ζ(ϕ)(x0)|2|v̂(ξ)|2dξ ≤

    τ−1∫G(x0, τ,D, D̄)vv̄ + γϕ(x0)γ2|||A(x0, D + iτ∇ϕ(x0))v|||2−1 ≤

    τ−1∫G(x, τ,D, D̄)vv̄ + ε(δ; γ)

    ∑|α|≤1

    τ 2−2|α|∫|∂αv|2+

    γϕ(x0)γ2|||A(, D + iτ∇ϕ)v|||2−1 + (ε(δ; γ) + C(γ)τ−2)

    ∑|α|≤1

    τ 3−2|α|∫|∂αv|2 (3.20)

    for v ∈ C20(Ωε ∩ B(x0, δ)). Here we used Lemma 2.3 and the elementary inequalitya2 ≤ 2b2 + 2(b− a)2. Choosing δ > 0 small and τ large enough so that

    (2C)−1γϕ(x0)(γτϕ(x0))2−2|α| > (ε(δ; γ) + C(γ)τ−2)τ 2−2|α|

    we absorb the second and fourth term on the right side of the inequality (3.20) toarrive at the inequality ∑

    |α|≤1

    ∫(γτϕ(x0))

    3−2|α||∂αv|2 ≤

    C(

    ∫G(, τ,D, D̄)vv̄ + τγϕ(x0)γ2|||A(, D + iτ∇ϕ)v|||2−1)

    As above by choosing large τ > C(γ) one can replace ϕ(x0) on the left side of thisinequality by ϕ. Using (3.1), (3.2) and the property (3.16) of the norm ||| |||−1 weconclude that ∑

    |α|≤1

    ∫(γτϕ)3−2|α||∂αv|2 ≤

    C||A(, D + iτ∇ϕ)v||22 + C(γ)τ−1||A(, D + iτ∇ϕ)v||22

    13

  • for v ∈ C20(B(x0; δ)). Choosing τ > C(γ) we eliminate the second term on the rightside. Now the bound (3.7) follows by partition of the unity argument. Since ourchoice of δ0 depends on γ we give this argument in some detail.

    The balls B(x0; δ0) form an open covering of the compact set Ω̄. Hence we can finda finite subcovering B(x0j; δ0) and a special partition of the unity χj(; γ) subordinatedto this subcovering. In particular, χj ∈ C20(B(x0j; δ0), 0 ≤ χj ≤ 1, and

    ∑χ2j = 1 on

    Ω̄. By Leibniz’ formula∂α(χjv) = χj∂

    αv + (∂αχj)v,

    A(, D + iτ∇ϕ)(χjv) = χjA(, D + iτ∇ϕ)v) +∑|β|≤1

    aβτ 1−|β|∂βv

    with |aβ| ≤ C(γ). Hence applying the Carleman estimate (3.7) to χjv and using theelementary inequality |a+ b|2 ≥ 1

    2a2 − b2 we obtain

    1

    2

    ∑|α|≤1

    ∫σ3−2|α||χj∂αv|2 −

    ∑|α|=1

    ∫σ3|(∂α(χj))v)|2 ≤

    C||χjA(, D + iτ∇ϕ)v||22 + C(γ)∑|β|≤1

    τ 2−2|β|||∂βv||22.

    Summing up over j = 1, ..., J and using that∑χ2j = 1 we yield

    1

    2

    ∑|α|≤1

    ∫σ3−2|α||∂αv|2 −

    ∑|α|=1,j≤J

    ∫σ|(∂α(χj))v)|2 ≤

    C||A(, D + iτ∇ϕ)v||22 + C(γ)∑|β|≤1

    τ 2−2|β|||∂βv||22.

    Since the highest powers of τ are in the first term of the left side, choosing C(γ) < τwe absorb by this term the second term on the left side and the second term on theright side.

    The proof is complete.

    4 Proof of Carleman estimates for elasticity sys-

    tem.

    Lemma 4.1. Let |∇ψ| > 0 on Ω̄. Then for a second order elliptic operator A thereare constants C, C0(γ) such that

    γ

    ∫Ω

    σ4−2|α|e2τϕ|∂αv|2 ≤ C∫

    σe2τϕ|Av|2 (4.1)

    for all v ∈ C20(Ω), |α| ≤ 2, C < γ, and C0(γ) < τ .

    14

  • Proof.We will apply Carleman estimate in [4]:∑

    |α|≤2

    √γ ||σ

    32−|α|eτϕ∂αu|| ≤ C ||eτϕA(x,D)u|| (4.2)

    to u = σ12v. By Leibniz’ formula

    ∂α(σ12v) = σ

    12∂αv + τ

    12A|α|−1(x,D)v, |α| = 1, 2,

    A(x,D)(σ12v) = σ

    12A(x,D)v + τ

    12A1(x,D)v,

    where Am is a linear partial differentail operator of order m with coefficients boundedby C(γ). By using these relations with |α| = 1 and the triangle inequality, from (4.2)we get

    √γ ||σeτϕ∇v|| − C(γ)||τeτϕv|| ≤ C ||σ

    12 eτϕA(x,D)v||+ C(γ)

    ∑|α|≤1

    ||τ12 eτϕ∂αv||.

    Similarly when |α| = 2,

    √γ ||eτϕ∂αv|| − C(γ)

    ∑|α|≤1

    ||eτϕ∂αv|| ≤ C ||σ12 eτϕA(x,D)v||+ C(γ)

    ∑|α|≤1

    ||τ12 eτϕ∂αv||.

    Summing the inequalities over |α| ≤ 2 we yield

    √γ

    ∑|α|≤2

    ||σ2−|α|eτϕ∂αv|| − C(γ)∑|α|≤1

    τ 1−|α|||eτϕ∂αv||

    ≤ C ||σ12 eτϕAv||+ C(γ)||τ

    12 eτϕ∂αv||.

    Since σ = τγϕ, 1 ≤ γ, 1 ≤ ϕ, the second terms in the left hand side and the righthand side are absorbed by the first term on the left side by choosing τ > C(γ). Thuswe completed the proof of Lemma 4.1.

    Proof of Theorem 1.2:We want to apply Carleman estimate to the system ARu = f . Unfortunately,

    we have no Carleman estimates for systems. To use Carleman estimates for scalarequations we will extend this system to a new principally triangular system. Byusing the standard substitution (u, v = divu,w = curlu) the system (1.6) can bereduced [11], Proposition 2.1, to a new system where the leading part is a speciallower triangular matrix differential operator with the wave operators on the diagonal:

    2(µ;R)u =f

    ρ+ A1;1(u, v),

    15

  • 2(λ+ 2µ;R)v = divf

    ρ+

    ∑jk

    ∇(rjkρ

    ) · ∂j∂ku+ A2;1(u, v,w), (4.3)

    2(µ;R)w = curlf

    ρ+

    ∑jk

    ∇(rjkρ

    )∂j∂ku + A3;1(u, v,w),

    where Aj;1 are first order differential operators.Appyling Theorem 1.1 to each of seven scalar differential operators forming the

    extended system (4.3) and summing up seven Carleman estimates, we get∫Ω

    (σ|∇x,tu|2 + σ|∇x,tv|2 + σ|∇x,tw|2 + σ3|u|2 + σ3|v|2 + σ3|w|2)e2τϕ

    ≤ C∫

    (|ARu|2 + |∇(ARu)|2)e2τϕ + C∫

    3∑j,k=1

    |∂j∂ku|2e2τϕ+

    C

    ∫Ω

    (|∇u|2 + |∇u|2 + |∇w|2 + |u|2 + v2 + |w|2)e2τϕ.

    By choosing τ > 2C we can absorb the third integral in the right side by the left sidearriving at the inequality∫

    (σ|∇x,tu|2 + σ|∇x,tv|2 + σ|∇x,tw|2 + σ3|u|2 + σ3|v|2 + σ3|w|2)e2τϕ

    ≤ C∫

    (|ARu|2 + |∇(ARu)|2)e2τϕ + C∫

    3∑j,k=1

    |∂j∂ku|2e2τϕ. (4.4)

    To eliminate the second order derivatives in the right side we need second largeparameter γ. By Lemma 4.1

    γ

    ∫Ω

    3∑j,k=1

    |∂j∂ku|2e2τϕ ≤ C∫

    σ|∆u|2e2τϕ

    ≤ C∫

    σ(|∇v|2 + |∇w|2)e2τϕ ≤ C∫

    (|f |2 + |∇f |2)e2τϕ + C∫

    |∂j∂ku|2e2τϕ.

    where we used the known identity ∆u = ∇v − curlw and (4.4). Choosing γ > 2Cwe can see that the second order derivatives term on the right side is absorbed bythe left side. This yields

    γ

    ∫Ω

    3∑j,k=1

    |∂j∂ku|2e2τϕ ≤ C∫

    (|f |2 + |∇f |2)e2τϕ.

    So using again (4.4) we complete the proof of (1.7).

    16

  • 5 Hölder type stability in the Cauchy problem.

    In this section we will prove Theorem 1.3.Since the surface Γ ∈ C3 is noncharacteristic for AR we can uniquely solve ARu =

    f on Γ for ∂2νu in terms of f , g0, g1 and their tangential derivatives. Moreover,

    ‖∂2νu‖( 12)(Γ) ≤ C(‖f‖( 1

    2)(Γ) + ‖g0‖( 5

    2)(Γ) + ‖g1‖( 3

    2)(Γ)).

    Then extension theorems tell us that for f ∈ H( 12)(Γ) we can find u

    ∗ ∈ H(3)(Ω) sothat

    u∗ = g0, ∂νu∗ = g1, ∂

    2νu

    ∗ = ∂2νu on Γ

    and‖u∗‖(3)(Ω) ≤ CF. (5.1)

    Letv = u− u∗. (5.2)

    The function v solves the Cauchy problem

    ARv = f −ARu∗ in Ω, v = 0, ∂νv = 0 on Γ ⊂ ∂Ω. (5.3)

    Moreover, due to our construction of u∗ we have

    ∂2νv = 0 on Γ. (5.4)

    To apply Carleman estimates of Theorem 1.2 we need zero Cauchy data on the wholeboundary. To achieve it we introduce a cut-off function χ ∈ C∞(Ω̄) so that χ = 1 onΩ δ

    2, χ = 0 on Ω \ Ω0. By Leibniz’ formula

    AR(χv) = χARv + A1v,

    ∇xAR(χv) = χ∇xARv + A2v,where A1,A2 are matrix linear partial differential operators with bounded coefficientsof orders 1, 2 depending on χ. Moreover A1 = 0,A2 = 0 on Ω δ

    2. Using the Cauchy

    data (5.3), (5.4) we conclude that v ∈ H0(3)(Ω), hence by Carleman estimate ofTheorem 1.2 we have∫

    (|∇x,tdiv(χv)|2 + |∇x,tcurl(χv)|2 + |χv|2)e2τϕ

    ≤ C∫

    (|f |2 + |(ARu∗)|2 + |∇xf |2 + |∇(ARu∗)|2 + |A1v|2 + |A2v|2)e2τϕ

    for C < γ,C0 < τ . Shrinking integration domain on the left side to Ω 3δ4

    (where

    χ = 1) and splitting integration domain of |A2v|2 into Ω δ2

    and its complement we

    yield ∫Ω 3δ

    4

    (|∇x,tdiv(v)|2 + |∇x,tcurl(v)|2) + |v|2)e2τϕ ≤

    17

  • C

    ∫Ω

    (|f |2 + |(ARu∗)|2 + |∇xf |2 + |∇x(ARu∗)|2)e2τϕ+

    C

    ∫Ω\Ω δ

    2

    (|A1v|2 + |A2v|2)e2τϕ ≤ CF 2e2τΦ + C‖v‖2(2)(Ω)e2τΦ2

    where we used definition (1.9) of F and bound (5.1) and let Φ = supϕ over Ω andΦ2 = supϕ over Ω \Ω δ

    2. Letting Φ1 = infϕ over Ω 3δ

    4and replacing ϕ on the left side

    of the preceding inequality by Φ1 we yield

    (||v||2(0)(Ω 3δ4) + ||∇divv||2(0)(Ω 3δ

    4) + ||∇curlv||2(1)(Ω 3δ

    4))e2τΦ1 ≤

    CF 2e2τΦ + C‖v‖2(2)(Ω)e2τΦ2 . (5.5)

    Observe that Φ2 < Φ1.We remind an interior Schauder type estimate for elliptic equations with zero

    Dirichlet data on Γ:

    ‖v‖(2)(Ωδ) ≤ C‖∆v‖(0)(Ω 3δ4) + C‖v‖(0)(Ω 3δ

    4).

    Using in addition that ∆ = ∇div − curlcurl we obtain

    ||v||2(2)(Ωδ) ≤ C(||v||2(0)(Ω 3δ4) + ||∇divv||2(0)(Ω 3δ

    4) + ||∇curlv||2(1)(Ω 3δ

    4)).

    Hence from (5.5)

    ||v||2(2)(Ωδ) ≤ CF 2e2τ(Φ−Φ1) + C‖v‖2(2)(Ω)e2τ(Φ2−Φ1). (5.6)

    If ‖v‖(2)(Ω)F−1 < C, then ‖v‖(2)(Ω) ≤ CF . Otherwise we let τ = (Φ + Φ1 −Φ2)

    −1log(‖v‖(2)(Ω)F−1). Then the bound (5.6) implies that

    ||v||(2)(Ωδ) ≤ C‖v‖(2)(Ω)1−κF κ

    with κ = Φ1−Φ2Φ+Φ1−Φ2 . Combining both cases we yield

    ||v||(2)(Ωδ) ≤ C(F + ‖v‖(2)(Ω)1−κF κ).

    Using that u = v+u∗, the triangle inequality, (5.1) and the elementary inequality(a+ b)κ ≤ aκ + bκ we obtain (1.9) and complete the proof.

    6 Lipschitz stability in the Cauchy problem.

    In this section we will prove Theorem 1.4.As the the proof of Theorem 1.3, we introduce functions u∗,v and we will use the

    relations (5.1), (5.3)

    18

  • We introduce the following energy integrals for the hyperbolic system of elasticitywith residual stress

    E(t;v) =

    ∫G

    ((∂tv)

    2 + |∇v|2 + |v|2)(, t), E(t) = E(t;v) + E(t;∇v).

    Dividing the system (1.8) by ρ and differentiating with respect to space variables weobtain the extended system with the same principal part

    ρ−1ARv = ρ−1f∗,

    ρ−1AR∂jv = ∂jρ−1f∗ − (∂jρ−1AR)v in Ω = G× (−T, T ), j = 1, 2, 3,

    where f∗ = f −ARu∗, with the zero boundary value conditions

    v = 0, ∂jv = 0 on Γ = ∂G× (−T, T ).

    By standard energy estimates for hyperbolic systems (i.e. [2])

    C−1(E(0)− ||f∗||(1)(Ω)

    )≤ E(t) ≤ C

    (E(0) + ||f∗||(1)(Ω)

    )when t ∈ (−T, T ). (6.1)

    We choose a smooth cut-off function 0 ≤ χ(t) ≤ 1 such that χ0(t) = 1 for−T + 2δ < t < T − 2δ and χ(t) = 0 for |t| > T − δ. It is clear that

    AR(χv) = χf∗ + 2ρ∂tχ∂tv + ρ∂

    2t χv,

    ∇AR(χv) = χ∇f∗ + 2ρ∂tχ∂t∇v + ρ∂2t χ∇v. (6.2)

    As in the proof of Theorem 1.3, χv ∈ H0(3)(Ω), hence by Theorem 1.2 (with fixed γ)∫Ω

    (σ(|∇x,t(χv)|2 + |∇x,tdiv(χv)|2 + |∇x,tcurl(χv)|2)+

    σ3(|χv|2 + |div(χv)|2 + |curl(χv)|2))e2τϕ

    ≤ C∫

    (|AR(χv)|2 + |∇AR(χv)|2)e2τϕ

    ≤ C( ∫

    (|f∗|2 + |∇f∗|2)e2τϕ +∫G×{T−2δ

  • C( ∫

    (|f∗|2 + |∇f∗|2)e2τϕ + Ce2τ(1−2δ)∫ TT−2δ

    ∫G

    (|∂tv|2 + |v|2 + |∂t∇v|2 + |∇v|2))

    Hence

    e2τ(1−δ)∫ δ

    0

    E(t)dt ≤ C( ∫

    (|f∗|2 + |∇f∗|2)e2τϕ + Ce2τ(1−2δ)∫ TT−2δ

    E(t)dt)

    Choosing Φ = supΩϕ and using (6.1)

    e2τ(1−δ)δ

    CE(0)− Ce2τΦ||f∗||2(1)(Ω)) ≤

    Cδe2τ(1−2δ)E(0) + Ce2τΦ||f∗||2(1)(Ω))

    To eliminate the first term on the right side we choose τ (depending on C) so largethat e−2τδ < 1

    C2and by using energy estimates (6.1) we finally get

    E(t;v) + E(t,∇v) ≤ C||f∗||(1)(Ω)

    Similarly to the proof of Theorem 1.3,

    E(t;u) + E(t,∇u) ≤ C(||f∗||(1)(Ω) + E(t;u∗) + E(t,∇u∗)

    )≤ C

    (||f∗||(1)(Ω) + ||ARu∗||(1)(Ω) + ||u∗||( 5

    2)(Γ) + ||∂νu∗||( 3

    2)(Γ)

    )≤

    C(||f ||(1)(Ω) + ||g0||( 5

    2)(Γ) + ||g1||( 3

    2)(Γ)

    ).

    The proof is complete.

    7 Conclusion

    We believe that Carleman estimates of Theorem 1.1 can be applied to other impor-tant systems of mathematical physics, for example to transversally isotropic elasticitysystem and to some anisotropic Maxwell systems. We expect that by using an ap-propriate version of Theorem 1.1 (with norms in Sobolev spaces of negative order),as in [7], one can obtain Carleman estimate (1.7) without terms with divu, curluon the left side and ∇ARu on the right side. It is probably challenging to obtainTheorems 1.1, 1.2 with boundary terms (i.e. without assuming that functions u arezero at the boundary). However, this generalization seems feasible and it would bequite useful for applications. In particular, then in Theorems 1.3, 1.4 one can replace‖f‖(1)(Ω0)+‖g0‖( 5

    2)(Γ)+‖g1‖( 3

    2)(Γ) by ‖f‖(0)(Ω0)+‖g0‖(1)(Γ)+‖g1‖(0)(Γ) and reduce

    regularity of Γ to C2.It is realistic to combine proofs of Theorem 1.1 and of Carleman estimates for

    general anisotropic operators [9], section 3.2, (including Schrödinger type operators)to obtain such estimates with two large parameters. In particular, one has to adjust

    20

  • the concepts of the principal symbol and of the pseudo-convexity condition. Possibleapplications would imply uniqueness of the continutation, controllability, and inverseprobelms for anisotropic systems of partial differential equations for plates and shellls.Currently, there are no theoretical results in this important area.

    Next we will apply Theorems 1.1, 1.2 to identification of elastic parameters (ρ, µ, λand rjk) with arbitrary residual stress from additional boundary data as it was donein the papers [12], [13] for small residual stress.

    Acknowledgments

    This work was supported in part by the NSF grants DMS 04-05976 and DMS07-07734 .

    References

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    [2] G. Duvaut, J.L. Lions, Inequalities in Mechanics and Physics, Springer-Verlag,1976.

    [3] M. Eller, Carleman Estimates with a Second Large Parameter, J. Math. Anal.Appl., 249 (2000), 491-514.

    [4] M. Eller, V. Isakov, Carleman estimates with two large parameters and applica-tions, Contemp. Math., AMS, 268 (2000), 117-137.

    [5] M. Eller, V. Isakov, G. Nakamura, D. Tataru, Uniqueness and stability in theCauchy problem for the Maxwell’s and elasticity systems, College de France Sem-inar, 14, Studies in Appl. Math., 31 (2002), 329-349.

    [6] L. Hörmander Linear Partial Differential Operators, Springer-Verlag, 1963.

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    [8] V. Isakov, A Nonhyperbolic Cauchy Problem for 2b,2c and its Applications toElasticity Theory, Comm. Pure Appl. Math., 39 (1986), 747-769.

    [9] V. Isakov, On the uniqueness of the continuation for a thermoelasticity system,SIAM J. Math. Anal., 33 (2001), 509-522.

    [10] V. Isakov, Inverse Problems for Partial Differential Equations, Springer-Verlag,New York, 2005.

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  • [11] V. Isakov, G. Nakamura, J.-N. Wang, Uniqueness and stability in the Cauchyproblem for the elasticity system with residual stress, Contemp. Math., AMS,333 (2003), 99-113.

    [12] V. Isakov, J.-N. Wang, M. Yamamoto, Uniqueness and stability of determiningthe residual stress by one measurement, Comm. Part. Diff. Equat., 23 (2007),833-848.

    [13] V. Isakov, J.-N. Wang, M. Yamamoto, An inverse problem for a dynamical Lamesystem with residual stress, SIAM J. Math. Anal. (2007), to appear.

    [14] A. Khaidarov, Carleman estimates and inverse problems for second order hyper-bolic equations, Math. USSR Sbornik, 58 (1987), 267-277.

    [15] I. Lasiecka, R. Triggiani, P.F. Yao, Inverse/observability estimates for secondorder hyperbolic equations with variable coefficients, J. Math. Anal. Appl., 235(2000), 13-57.

    [16] C.-S. Man, Hartig’s law and linear elasticity with initial stress, Inverse Problems,14 (1998), 313-320.

    [17] L. Rachelle, Uniqueness in Inverse Problems for Elastic Media with ResidualStress, Comm. Part. Diff. Equat., 28 (2003), 1787-1806.

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