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Global Uniqueness for the Smooth Isotropic Elasticity Inverse Problem

OpenAI, 24 September 2026

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Part of family 372: Global uniqueness in smooth isotropic elasticity. Read it with its family

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Abstract

We prove that the full static displacement-to-traction map uniquely determines both real smooth Lamé moduli on every bounded connected smooth domain in \R^3, provided \mu>0 and 3\lambda+2\mu>0 on the closure. This resolves the smooth three-dimensional isotropic elastic Calderón uniqueness problem under these positivity assumptions.

1 Introduction

Let \Omega\subset\R^3 be a bounded connected domain with smooth boundary. For real functions \lambda,\mu\in C^\infty(\overline\Omega) satisfying

\mu>0,\qquad 3\lambda+2\mu>0 \quad\text{on }\overline\Omega, \tag{1.1}

define the strain, stress, and static elasticity operator by

e(u)=\frac{\nabla u+(\nabla u)^T}{2},\qquad \sigma_{\lambda,\mu}(u)=\lambda(\diverg u)I+2\mu e(u),\qquad L_{\lambda,\mu}u=\diverg\sigma_{\lambda,\mu}(u). \tag{1.2}

Here \mu is the shear modulus and \lambda+2\mu/3 is the bulk modulus. The inequalities in (1.1) give uniformly positive elastic energy. For each f\in H^{1/2}(\partial\Omega;\R^3) there is a unique u_f\in H^1(\Omega;\R^3) with L_{\lambda,\mu}u_f=0 and trace f. The displacement-to-traction map is defined weakly by

\langle\Lambda_{\lambda,\mu}f,g\rangle =\int_\Omega\left[ \lambda(\diverg u_f)(\diverg v_g)+2\mu e(u_f):e(v_g) \right]\dd x, \tag{1.3}

where v_g\in H^1(\Omega;\R^3) has trace g, and A:B=\tr(A^TB). The weak equation makes this expression independent of the extension. For smooth boundary data it is the traction \sigma_{\lambda,\mu}(u_f)n, with n the outward normal.

Theorem 1.1. Let \Omega\subset\R^3 be any bounded connected domain with C^\infty boundary. For j=1,2, let \lambda_j,\mu_j\in C^\infty(\overline\Omega;\R) satisfy \mu_j>0 and 3\lambda_j+2\mu_j>0 on \overline\Omega. If

\Lambda_{\lambda_1,\mu_1} =\Lambda_{\lambda_2,\mu_2} \colon H^{1/2}(\partial\Omega;\R^3) \longrightarrow H^{-1/2}(\partial\Omega;\R^3),

then \lambda_1=\lambda_2 and \mu_1=\mu_2 throughout \Omega.

Thus Theorem 1.1 gives a positive resolution of the smooth three-dimensional isotropic elastic Calderón uniqueness problem under (1.1). It uses the full zero-frequency boundary operator in fixed Euclidean coordinates. The coefficients need not be analytic or close to constants, and their agreement near the boundary is not an additional hypothesis.

History and significance. The inverse problem asks whether static boundary measurements determine both spatially varying elastic moduli. The scalar conductivity problem posed by Calderón [1] and the complex geometric optics uniqueness theorem of Sylvester and Uhlmann [17] are important antecedents, but elasticity couples two moduli through vector displacements. Nakamura and Uhlmann recovered the elastic boundary Taylor series [14]. Their original global claim [13] was corrected in [15]. The erratum identifies two defects: the prescribed initial-value problem for a planar matrix transport need not be solvable, and substitution of the corrected complex geometric optics solutions yields a pseudodifferential equation where a partial differential equation had been asserted. Its corrected theorem proves uniqueness when both \|\nabla\mu_j\|_{C^m} are sufficiently small.

Eskin and Ralston developed higher-order matrix complex geometric optics expansions using invertible planar transport frames, together with restricted elasticity uniqueness results [6, 7]. A direct inspection of the differential map from their auxiliary vector–scalar fields to physical displacement [7, Section 3] shows that it is noninjective. The reduction alone therefore does not transfer equality of the physical boundary maps to equality of unrestricted auxiliary Cauchy data. The proof here transfers exact physical solutions while retaining their actual divergence.

In two dimensions, Imanuvilov and Yamamoto proved global uniqueness for smooth coefficients satisfying \mu>0 and \lambda+\mu>0, without a smallness assumption [11]. In three dimensions, Lin and Nakamura gave local boundary reconstruction at finite regularity [12]; Tan and Liu obtained boundary jets on smooth Riemannian manifolds and global recovery under their analytic hypotheses [18]. A recent preprint of Chen, Jiang, Liu, and Tao treats structured shear moduli under axisymmetry, separation, or directional quasianalyticity in the specified geometries [3]. Theorem 1.1 treats the full smooth class under (1.1).

Conventions. All differential identities are complexified by linearity. Dot products of complex vectors, including the null condition and orthogonality, use the complex bilinear extension of the Euclidean product. Sobolev norms and Hilbert-space adjoints use the usual Hermitian structure. Equality of the real boundary maps extends complex linearly to the complex boundary data used in the proof.

Proof strategy. The proof converts equality of the boundary maps into an exact exterior comparison of physical solutions. Boundary determination first gives matching boundary jets, from which we construct common smooth extensions of the coefficients outside \Omega. Given a solution in the first medium, equality of displacement and traction then lets us glue a solution in the second medium to it across \partial\Omega. The two solutions, and their actual divergences, coincide in the exterior. Section 2 establishes this transfer.

Fix a nonzero complex null vector \theta, so \theta\cdot\theta=0, and write D_\theta=\theta\cdot\nabla. The real and imaginary parts of \theta span a plane on which D_\theta is a nonzero multiple of a Cauchy–Riemann operator; the remaining real coordinate is transverse to these planes. For solutions with exponential phase e^{\tau\theta\cdot x}, the leading displacement–divergence pair (a,b) has a\in H_\theta=\{a\in\C^3:\theta\cdot a=0\} and b\in\C. The resulting transport space \Ecal_\theta=H_\theta\oplus\C has dimension three. The displacement–divergence reduction to a system with Laplacian principal part is classical in Lamé unique continuation [19, 10]. The formulation here uses an independent vector–scalar pair (u,d), retains that principal part after normalization, and satisfies a compatibility identity for the defect \diverg u-d. Its supported Carleman estimate, together with a compatible high-order transport recursion and a correction using the physical elasticity operator, realizes a full local frame in \Ecal_\theta by exact displacements. The construction controls both the leading pair and its weighted first derivatives. Sections 3 and 4 prove these facts.

The leading equations have a useful normalization. For each coefficient pair, set

p=\sqrt\mu\,a,\qquad s=-\frac{\lambda+\mu}{2\sqrt\mu}\,b -\frac12\nabla\log\mu\cdot p.

This is an invertible change of variables on \Ecal_\theta, since \mu>0 and \lambda+\mu>0. In the jth medium, the normalized transport takes the form

D_\theta\binom{p}{s} =M_{j,\theta}\binom{p}{s},\qquad M_{j,\theta}= \begin{pmatrix}0&\theta\\Q_{j,\theta}\cdot&T_{j,\theta}\end{pmatrix}.

Here Q_{j,\theta}\cdot is the covector p\mapsto Q_{j,\theta}\cdot p. The lower coefficients are smooth in x and linear in \theta; Lemma 5.1 gives their formulas. The upper equation D_\theta p=\theta s is the same for both media.

Transport comparison followed by holomorphic variation of the complex direction has a close precedent in Cekić’s work on connection Laplacians [2], whose parameter argument follows Eskin’s analysis of Yang–Mills potentials [5]. Cekić treats full connection-system boundary data on a trivial vector bundle. The comparison needed here must be obtained from physical elasticity data on the constrained fibers \Ecal_\theta.

On a cylinder given by a planar disk times a transverse interval, let Y_1:\C^3\to\Ecal_\theta be the matrix of normalized columns of one local frame realized in the first medium. Transfer its exact physical solutions to the second medium. The two augmented operators have the same principal part, so the forcing for the difference of the physical pairs has only first order. The derivative bound and the supported Carleman estimate make the transferred leading pairs bounded in L^2. Weak limits supply a matrix Y_2:\C^3\to\Ecal_\theta of three second-medium transport columns. The two normalizations agree in the exterior because the coefficients do, so Y_2=Y_1 there. The local comparison G=Y_2Y_1^{-1} is therefore an endomorphism of \Ecal_\theta equal to the identity on the part of that cylinder outside \overline\Omega. Only the original columns Y_1 need to form an invertible frame.

The initial comparison is obtained in a weak sense on transverse cylinders. Section 5 proves uniqueness for supported planar transport equations and an estimate on fixed supported Sobolev spaces. These results assemble the local comparisons into a unique smooth field G(x,[\theta])\in\operatorname{End}(\Ecal_\theta) on \R^3\times\mathcal C, where \mathcal C=\{[\theta]\in\C\mathrm P^2:\theta\cdot\theta=0\} is the projective null conic. For a fixed ball \mathcal B\subset\R^3 independent of [\theta], it satisfies

D_\theta G=M_{2,\theta}G-GM_{1,\theta}, \qquad G(x,[\theta])=\Id\quad(x\notin\mathcal B).

Differentiating this equation in a conjugate conic coordinate while holding x fixed gives a supported homogeneous transport equation. Its uniqueness makes G(x,\cdot) holomorphic.

Finally, the planes H_\theta form a holomorphic bundle H on \mathcal C. It has no nonzero global holomorphic sections, while its quotient by the null line subbundle with fiber \C\theta is trivial. These facts and the universal upper transport equation force the displacement block of G to be scalar. The remaining upper block equation uses \dim H_\theta=2 to make that scalar constant in x and remove the remaining off-diagonal block; the exterior value then gives G=\Id. Equality of the transports first determines (\lambda+\mu)/(\lambda+2\mu). The remaining equations for \eta=\log\mu_1-\log\mu_2 have the form \nabla^2\eta=B(x)\nabla\eta+q(x)I, where B(x):\R^3\to\R^{3\times3} and the scalar q(x) are smooth. One differentiation closes a homogeneous first-order system for (\nabla\eta,q), whose zero exterior values propagate by uniqueness for ordinary differential equations along paths. Section 6 gives this rigidity and recovers both coefficients.

2 Boundary reduction and physical transfer

Throughout the proof, the two coefficient pairs satisfy the hypotheses of Theorem 1.1 and have equal displacement-to-traction maps.

Lemma 2.1 (Common exterior extension). The two pairs admit real smooth extensions to \R^3 that satisfy (1.1) everywhere, coincide on \R^3\setminus\Omega, and equal a common constant admissible pair outside a ball.

Proof. By Theorem 1.2 of Tan and Liu [18], equality of the elastic Dirichlet-to-Neumann maps determines all boundary partial derivatives of both Lamé moduli. Our inequalities imply \lambda+\mu>\mu/3>0, so their positivity condition holds. Their definition of the boundary operator is \lambda(\diverg u)n+\mu(\nabla u+(\nabla u)^T)n, so its Euclidean specialization agrees with (1.3). Consequently the two pairs have identical jets at every point of \partial\Omega. Lin and Nakamura also give local boundary reconstruction, with curved boundaries discussed in Section 4 of [12].

Smoothly extend the first pair to a neighborhood of \overline\Omega. By compactness and strict positivity, shrink the neighborhood so that (1.1) still holds there. Choose a smooth cutoff equal to one on a smaller neighborhood of \overline\Omega and supported in the first neighborhood. Interpolate with any constant pair satisfying (1.1). The admissible set in the (\lambda,\mu) plane is convex, so this produces a smooth admissible global extension of the first pair, constant outside a compact set.

For the second pair use its prescribed values in \Omega and the first extension on the complement. Equality of all jets makes this piecewise definition smooth across each boundary component. Positivity holds on both sides and on the boundary. This proves the assertion, including when the complement of \Omega has bounded components.

Fix these extensions and retain the notation \lambda_j,\mu_j and L_j=L_{\lambda_j,\mu_j} for them. Choose r>0 so that \overline\Omega\subset B_r and the extensions are constant outside B_r. Here B_R is the open ball of radius R centered at the origin.

Proposition 2.2 (Transfer of physical solutions). Let B be a ball containing \overline B_r. Every smooth solution u_1 of L_1u_1=0 on B has a smooth counterpart u_2 satisfying L_2u_2=0 on B and

u_2=u_1\quad\text{on }B\setminus\overline\Omega.

In particular, u_2-u_1 and \diverg u_2-\diverg u_1 are smooth and supported in \overline\Omega.

Proof. Solve the second Dirichlet problem in \Omega with trace u_1|_{\partial\Omega}, and use u_1 outside \overline\Omega. Matching traces give an H^1_{\mathrm{loc}}(B) field u_2. The restrictions of the two interior solutions have identical boundary tractions because their Dirichlet values and boundary maps agree. For a smooth test vector compactly supported in B, the weak boundary term contributed by the interior therefore agrees with that for u_1. The coefficients and displacements coincide on the exterior, where the same test contributes the opposite interface term. Hence the glued field satisfies L_2u_2=0 weakly on B.

The extended operator is smooth and strongly elliptic. Interior elliptic regularity, applied also across \partial\Omega, gives u_2\in C^\infty(B;\C^3). The difference is zero off \overline\Omega, as are all its derivatives there. Its support and the support of its divergence are thus contained in \overline\Omega\Subset B_r.

3 An augmented system and analytic estimates

This section constructs a scalar-Laplacian augmented operator and a supported estimate that will control differences of transferred physical displacement–divergence pairs. Adjoining the displacement divergence to obtain a system with Laplacian principal part goes back to Weck [19]; see the account of Imanuvilov and Yamamoto [10, Section 1]. The identities below give the formulation used in this proof. We first work with one of the smoothly extended coefficient pairs from Lemma 2.1, and suppress its subscript. Set

m=\mu,\qquad k=\lambda+\mu,\qquad \ell=\lambda+2\mu=k+m.

The energy assumptions imply m>0, k>m/3, and \ell>4m/3. For an independent vector–scalar pair U=(u,d), define

\begin{aligned} R(u,d)_i & =m\Delta u_i+k\partial_i d +\sum_{j=1}^3(\partial_jm)(\partial_ju_i+\partial_iu_j) +(\partial_i\lambda)d,\\ S(u,d) & =\ell\Delta d+2\nabla k\cdot\nabla d +2\nabla m\cdot\Delta u +2\sum_{i,j=1}^3(\partial_i\partial_jm)\partial_iu_j +(\Delta\lambda)d,\\ P&=m\Delta+\nabla m\cdot\nabla. \end{aligned} \tag{3.1}

The scalar d will equal \diverg u for physical solutions, but keeping it independent gives the compatibility identity needed below.

Lemma 3.1. For every smooth pair (u,d),

Lu=R(u,\diverg u),\qquad \diverg R(u,d)-S(u,d)=P(\diverg u-d). \tag{3.2}

In particular, Lu=0 implies R(u,\diverg u)=S(u,\diverg u)=0. The normalized augmented operator

\Lcal U= \left(m^{-1}R(u,d),\, \ell^{-1}\bigl(S(u,d)-2m^{-1}\nabla m\cdot R(u,d)\bigr)\right) \tag{3.3}

has the form

\Lcal=\Delta\Id_4+\sum_{j=1}^3 A_j(x)\partial_j+A_0(x) \tag{3.4}

with smooth matrix coefficients. Consequently, the difference of the normalized augmented operators for the two coefficient pairs has order at most one and coefficients supported in \overline\Omega.

Proof. The first identity is the coordinate expansion of \diverg\sigma(u). To verify the second independently of the constraint, write v=\diverg u. Differentiating (3.1) gives

\begin{aligned} \diverg R(u,d) ={}&m\Delta v+\nabla m\cdot\nabla v+k\Delta d +(\nabla k+\nabla\lambda)\cdot\nabla d\\ &+2\nabla m\cdot\Delta u +2\sum_{i,j=1}^3(\partial_i\partial_jm)\partial_iu_j +(\Delta\lambda)d. \end{aligned}

Subtracting S and using k=\lambda+m gives m\Delta(v-d)+\nabla m\cdot\nabla(v-d).

For the principal part in (3.3), the only second derivatives of u in its scalar numerator cancel. More explicitly, if

C_m(u)_i=\sum_{j=1}^3(\partial_jm) (\partial_ju_i+\partial_iu_j),

then this numerator is

\begin{aligned} S-2m^{-1}\nabla m\cdot R ={}&\ell\Delta d+ (2\nabla k-2km^{-1}\nabla m)\cdot\nabla d\\ &+2\sum_{i,j=1}^3(\partial_i\partial_jm)\partial_iu_j -2m^{-1}\nabla m\cdot C_m(u)\\ &+\bigl(\Delta\lambda-2m^{-1}\nabla m\cdot\nabla\lambda\bigr)d. \end{aligned}

This proves (3.4). The support assertion follows from equality of the extended coefficients off \overline\Omega.

The order-one difference of the two augmented operators is the forcing term to be estimated after physical transfer in Section 5.

Fix a nonzero \theta\in\C^3 with \theta\cdot\theta=0, and write

D_\theta=\theta\cdot\nabla,\qquad E_\tau(x)=e^{\tau\theta\cdot x},\qquad h=\tau^{-1}. \tag{3.5}

For s\in\R, the semiclassical Sobolev norm on \R^3 is

\norm{v}_{H_h^s}^2 =\int_{\R^3}(1+h^2\abs{\xi}^2)^s \abs{\widehat v(\xi)}^2\,\dd\xi.

For vectors, we sum the component norms. These norms and all Hilbert space adjoints below use the Hermitian structure, whereas products such as \theta\cdot\theta remain complex bilinear. Constants in the following estimates may depend on the coefficients, the fixed ball, and \theta, but not on sufficiently large \tau.

Proposition 3.2 (Supported Carleman estimate). Let B be a bounded ball. For U\in C_c^\infty(B;\C^4) and all sufficiently small h>0,

\norm{E_\tau^{-1}U}_{H_h^1} \le Ch\norm{E_\tau^{-1}\Lcal U}_{H_h^{-1}}. \tag{3.6}

Proof. Put \varphi(x)=-\operatorname{Re}(\theta\cdot x). A nonzero complex null vector has nonzero real part, so \varphi is a nonconstant linear limiting Carleman weight for the Laplacian. For \varphi_\varepsilon=\varphi+h\varphi^2/(2\varepsilon), [16, Lemma 2.1], with Sobolev index s=-1, gives

\frac{h}{\sqrt\varepsilon}\norm{v}_{H_h^1} \le C\norm{e^{\varphi_\varepsilon/h}h^2\Delta e^{-\varphi_\varepsilon/h}v}_{H_h^{-1}}, \qquad v\in C_c^\infty(B), \tag{3.7}

for h\ll\varepsilon\ll1, with C independent of sufficiently small \varepsilon. Its statement has a gain of two derivatives and permits every real s. The sign of the Laplacian is immaterial here.

Apply (3.7) componentwise. A first-order term in (3.4) contributes

e^{\varphi_\varepsilon/h}h^2A_j\partial_j e^{-\varphi_\varepsilon/h}v =hA_j(h\partial_jv)-hA_j(\partial_j\varphi_\varepsilon)v.

Its H_h^{-1} norm is bounded by C_1h\norm{v}_{H_h^1}, uniformly when h/\varepsilon is small. The zeroth-order terms have the same bound. Choose \varepsilon>0 so small that these terms are absorbed by the left side of (3.7), and then choose h sufficiently small relative to this fixed \varepsilon. We obtain

\norm{e^{\varphi_\varepsilon/h}U}_{H_h^1} \le C_\varepsilon h \norm{e^{\varphi_\varepsilon/h}\Lcal U}_{H_h^{-1}}.

The factor e^{\varphi^2/(2\varepsilon)} is now fixed. It and its inverse, smoothly localized around \overline B, are bounded multipliers on H_h^1, uniformly for 0<h\le1, by the product rule. They are bounded on H_h^{-1} by duality. Removing this factor gives the same estimate with \varphi in place of \varphi_\varepsilon. The multiplier constants may depend on \varepsilon; no subsequent absorption involves them.

Finally, write \beta=\operatorname{Im}\theta. Multiplication by e^{-i\beta\cdot x/h} shifts the semiclassical frequency h\xi by the fixed vector -\beta. The weights 1+\abs{h\xi}^2 and 1+\abs{h\xi-\beta}^2 are comparable, so this multiplier and its inverse are uniformly bounded on H_h^{\pm1}. Since E_\tau^{-1}=e^{\varphi/h}e^{-i\beta\cdot x/h}, this proves (3.6).

Corollary 3.3. For the same B and \theta, and all sufficiently large \tau, every w\in C_c^\infty(B;\C^3) satisfies

\norm{E_\tau^{-1}w}_{L^2(B)} \le C\norm{E_\tau^{-1}Lw}_{L^2(B)}. \tag{3.8}

Moreover, for every f\in L^2(B;\C^3) there exists z\in L^2(B;\C^3) satisfying, distributionally,

E_\tau^{-1}L(E_\tau z)=f\quad\text{in }B, \qquad \norm{z}_{L^2(B)}\le C\norm{f}_{L^2(B)}. \tag{3.9}

Proof. Apply Proposition 3.2 to (w,\diverg w). By (3.2), its augmented forcing is formed from Lw and \diverg(Lw). If F=E_\tau^{-1}Lw, then

E_\tau^{-1}\diverg(Lw)=\diverg F+\tau\theta\cdot F.

The Fourier definition of the norms gives \norm{\partial_jF}_{H_h^{-1}}\le h^{-1}\norm{F}_{L^2}. Smooth coefficient multipliers, localized near \overline B, are uniformly bounded on H_h^{-1}. Hence

\norm{E_\tau^{-1}\Lcal(w,\diverg w)}_{H_h^{-1}} \le Ch^{-1}\norm{F}_{L^2}.

Taking the displacement component on the left side of (3.6) proves (3.8).

Let A_\theta=E_\tau^{-1}LE_\tau on test functions in B. Substituting w=E_\tau v in (3.8) gives \norm{v}_{L^2}\le C\norm{A_\theta v}_{L^2}. Formal self-adjointness of L gives

A_\theta^* =e^{\tau\overline\theta\cdot x}L e^{-\tau\overline\theta\cdot x} =A_{-\overline\theta}.

The same estimate for the null direction -\overline\theta thus holds for A_\theta^*. Use the L^2 inner product linear in its first argument. The functional

A_\theta^*v\longmapsto (v,f)_{L^2(B)}, \qquad v\in C_c^\infty(B;\C^3),

is well-defined and has norm at most C\norm{f}_{L^2}. Extend it by the Hahn–Banach Theorem and represent it as (\,\cdot\,,z)_{L^2}. Then (A_\theta^*v,z)=(v,f) for every test function v, which is the distributional equation in (3.9). The norm of the representing vector gives the asserted bound.

Lemma 3.4 (Scaled interior estimate). Let B'\Subset B. There exists h_{B'}>0 such that, whenever 0<h=\tau^{-1}<h_{B'} and z,f\in L^2(B;\C^3) satisfy E_\tau^{-1}L(E_\tau z)=f distributionally in B,

\sum_{j=0}^2 h^j\norm{\nabla^jz}_{L^2(B')} \le C_{B'}\bigl(\norm{z}_{L^2(B)} +h^2\norm{f}_{L^2(B)}\bigr). \tag{3.10}

If f is smooth, then z is smooth in B for each fixed \tau.

Proof. The positive principal coefficient form of L is

m\abs{\xi}^2\abs{v}^2+k\abs{\xi\cdot v}^2, \qquad \xi\in\R^3,\quad v\in\C^3.

Thus its ellipticity is uniform on \overline B. Conjugation leaves the principal part unchanged and introduces coefficients of size O(h^{-1}) and O(h^{-2}) in orders one and zero. On a ball B(x_0,2h)\subset B, set x=x_0+hy and multiply the equation by h^2. The resulting operator on the fixed ball B(0,2) has a uniformly strongly elliptic principal part, while its coefficients and their derivatives in y are uniformly bounded. As (x_0,h) ranges over \overline B'\times[0,h_0], these operators form a compact smooth coefficient family with a common ellipticity bound. The local parametrix estimate persists under a small coefficient perturbation, so a finite cover gives a uniform constant. Interior H^2 regularity for distributional L^2 solutions of smooth elliptic systems is given by [4, Theorem 15.1 and Remark 15.2]. The same parametrix argument with matrix symbols gives the localized estimate for systems corresponding to the scalar Proposition 15.6 of that source. With the uniform constants just obtained, it yields

\sum_{j=0}^2 h^j\norm{\nabla^jz}_{L^2(B(x_0,h))} \le C\bigl(\norm{z}_{L^2(B(x_0,2h))} +h^2\norm{f}_{L^2(B(x_0,2h))}\bigr).

For small h, cover B' by such inner balls with uniformly bounded overlap of the doubled balls. Squaring and summing proves (3.10). Iterated interior elliptic regularity, with \tau fixed, proves the final assertion.

4 Physical solutions realizing local transport frames

We now construct exact elasticity solutions with controlled leading behavior for both the displacement and its actual divergence. We begin by identifying the equations obeyed by these leading terms. Fix the null vector \theta from (3.5), and write D=D_\theta when convenient. Since \theta\cdot\theta=0, conjugating the operators in (3.1) gives

E_\tau^{-1}R(E_\tau a,E_\tau b)=R(a,b)+\tau R^\theta(a,b), \qquad E_\tau^{-1}S(E_\tau a,E_\tau b)=S(a,b)+\tau S^\theta(a,b),

where

\begin{aligned} R^\theta(a,b) &=2mDa+(Dm)a+\theta(kb+\nabla m\cdot a),\\ S^\theta(a,b) &=2\ell Db+2(Dk)b+4\nabla m\cdot Da +2(D\nabla m)\cdot a. \end{aligned} \tag{4.1}

For smooth vector amplitudes a_0,a_1, the first two terms of a trial displacement give

E_\tau^{-1}\diverg\bigl(E_\tau(a_0+\tau^{-1}a_1)\bigr) =\tau\theta\cdot a_0+ \bigl(\diverg a_0+\theta\cdot a_1\bigr) +\tau^{-1}\diverg a_1.

An O(1) leading divergence therefore requires \theta\cdot a_0=0, while its scalar term also contains \theta\cdot a_1 and need not equal \diverg a_0. We retain that scalar as the component b of the leading pair. Define the fixed complex vector spaces

H_\theta=\{a\in\C^3:\theta\cdot a=0\}, \qquad \Ecal_\theta=H_\theta\oplus\C. \tag{4.2}

The transport equation on \Ecal_\theta is

R^\theta(a,b)=0,\qquad S^\theta(a,b)=0, \qquad (a,b)\in\Ecal_\theta. \tag{4.3}

Indeed, putting P^\theta=2mD+(Dm), we have

\theta\cdot R^\theta(a,b)=P^\theta(\theta\cdot a). \tag{4.4}

Thus R^\theta takes values in H_\theta when a does. On \Ecal_\theta, the coefficient multiplying D(a,b) in the two transport equations is

\begin{pmatrix} 2m\Id_{H_\theta}&0\\ 4\nabla m\cdot&2\ell \end{pmatrix}.

It is invertible, so (4.3) is a square rank-three system with principal part D.

For clarity, write \theta=\alpha+i\beta with \alpha,\beta\in\R^3. The null condition says \abs\alpha=\abs\beta=\rho>0 and \alpha\cdot\beta=0. Let (y_1,y_2,t) be positively oriented orthonormal coordinates in the directions \alpha/\rho, \beta/\rho, and their cross product. Then, for z=y_1+iy_2,

D=\rho(\partial_{y_1}+i\partial_{y_2}) =2\rho\partial_{\overline z}.

We denote the planar disk \{y\in\R^2:\abs y<R\} by D_R^2.

For each chosen transverse coordinate t_0, we will select a smooth frame of (4.3) for t near t_0 and then realize its three columns by physical solutions. Earlier systems complex geometric optics constructions also use invertible planar transport frames [7, Section 1]. The next lemma records the local parameter dependence and inhomogeneous solvability with transverse support needed here.

Lemma 4.1 (Planar frames and inhomogeneous transports). Let I\subset\R be an open interval and let A\in C^\infty(D_R^2\times I;\C^{n\times n}). For each fixed t\in I, the equation

\partial_{\overline z}V=A(z,t)V \tag{4.5}

has a smooth invertible matrix solution on D_R^2. For every R'<R and t_0\in I, there are an interval I_0\Subset I containing t_0 and a smooth invertible solution V on D_{R'}^2\times I_0.

Given this V, a radius R''<R', and F\in C^\infty(D_{R'}^2\times I_0;\C^n), the equation

\partial_{\overline z}v=Av+F \tag{4.6}

has a smooth solution on D_{R''}^2\times I_0. If F(\,\cdot\,,t)=0 for t\notin K, where K\Subset I_0 is compact, the solution can be chosen with the same transverse support property. These assertions also hold with D in place of \partial_{\overline z}, and for systems obtained by multiplying D by an invertible smooth matrix.

Proof. We first construct frames locally at a fixed parameter. For a bounded function f supported in a disk of radius \delta, the Cauchy transform

(\mathcal Tf)(z)=\frac1\pi \int_{\C}\frac{f(w)}{z-w}\,\dd y_1(w)\,\dd y_2(w)

satisfies \partial_{\overline z}\mathcal Tf=f in distributions and \norm{\mathcal Tf}_{L^\infty}\le C\delta\norm f_{L^\infty}. The latter estimate follows by integrating \abs{z-w}^{-1} over the support disk. Choose a smooth cutoff \chi supported in a sufficiently small disk and equal to one on a smaller disk. On bounded matrix functions, the equation

V=\Id_n+\mathcal T(\chi A V)

is then solved by a convergent Neumann series. Shrinking the disk until the operator norm is less than 1/3 gives \norm{V-\Id_n}_{L^\infty}<1/2, hence invertibility. The distributional equation and interior elliptic regularity for \partial_{\overline z} show that V is smooth on the smaller disk. This proves local smooth invertible solvability.

If V_i,V_j are two such local frames, then \partial_{\overline z}(V_i^{-1}V_j)=0 on their overlap. Their transition functions therefore define a holomorphic vector bundle on D_R^2, whose underlying smooth bundle is trivial. Its holomorphic frame bundle has fiber \mathrm{GL}_n(\C). The disk is Stein and contractible, so a continuous section of this frame bundle exists. The Oka principle for sections of holomorphic fiber bundles with complex homogeneous fibers, in the form of [8, Theorem 1.1, p. 1018], supplies a holomorphic section; this homogeneous-fiber case goes back to Grauert [9]. In the original smooth trivialization it is a smooth invertible matrix solving (4.5) throughout D_R^2.

To obtain local parameter dependence, choose such a frame V_0(z) at t_0. After writing V=V_0W, the equation becomes

\partial_{\overline z}W=B(z,t)W, \qquad B(z,t)=V_0(z)^{-1}\bigl(A(z,t)-A(z,t_0)\bigr)V_0(z).

Choose a cutoff \chi\in C_c^\infty(D_R^2) equal to one near \overline D_{R'}^2. On its compact support, B(\,\cdot\,,t) tends uniformly to zero as t\to t_0. On a sufficiently small interval I_0\Subset I, solve

W=\Id_n+\mathcal T(\chi B(\,\cdot\,,t)W)

by a Neumann series with norm less than 1/3. This gives an invertible solution on D_{R'}^2\times I_0. The integral operator depends smoothly on t in operator norm on L^\infty; its inverse does also. Hence all parameter derivatives of W exist in L^\infty. Differentiating its equation and applying interior elliptic regularity successively gives smoothness jointly in (z,t), with bounds on compact subsets. Thus V=V_0W has the claimed parameter regularity.

Finally, choose \chi\in C_c^\infty(D_{R'}^2) equal to one near \overline D_{R''}^2. The formula

v=V\mathcal T(\chi V^{-1}F)

solves (4.6) on the smaller disk. The transform acts only in the planar variable, so it preserves the specified support in t. Dividing a system with invertible derivative coefficient by that coefficient, and using D=2\rho\partial_{\overline z}, proves the final assertion.

To carry a leading frame through physical transfer, we need control of both the displacement–divergence pair and its derivatives. Corollary 3.3 gives physical solvability with an L^2 estimate independent of \tau. We will make the correction small enough after taking a divergence by first constructing a compatible expansion of truncation order N\ge4. The proof below obtains a physical residual of size O(\tau^{1-N}) and a conjugated divergence correction of size O(\tau^{2-N}). The resulting strong convergence identifies the first medium’s leading columns and, by exterior agreement, the exterior values of the transferred columns. The weighted O(\tau) derivative bound controls the first-order forcing obtained by applying the difference of the two normalized augmented operators to the first physical pair.

Proposition 4.2 (Physical realization of local transport frames). For every nonzero null vector \theta and every t_0\in(-2r,2r), there exist an open interval J\subset(-2r,2r) containing t_0 and three smooth solutions (a_0^{\nu},b_0^{\nu}), 1\le\nu\le3, of (4.3) on a neighborhood of \overline B_{5r}, with the following properties.

The three columns form a frame of \Ecal_\theta at every point of D_{2r}^2\times J. For each \nu and all sufficiently large \tau, there is u_\tau^{\nu}\in C^\infty(B_{5r};\C^3) with Lu_\tau^{\nu}=0 such that, on putting U_\tau^{\nu}=(u_\tau^{\nu},\diverg u_\tau^{\nu}),

\begin{aligned} E_\tau^{-1}U_\tau^{\nu} &\longrightarrow (a_0^{\nu},b_0^{\nu}) &&\text{in }L^2(B_{4r}),\\ \norm{E_\tau^{-1}\nabla U_\tau^{\nu}}_{L^2(B_{4r})} &=O(\tau). \end{aligned} \tag{4.7}

Proof. We construct compatible formal amplitudes and then correct the truncated displacement using the physical operator. Fix an integer N\ge4 and radii R_0>R_1>\cdots>R_N>5r. The coefficients are smooth on all of \R^3. Apply Lemma 4.1 to the rank-three system (4.3), starting on a disk strictly larger than D_{R_0}^2. It supplies a smooth invertible frame

\mathcal F(y,t):\C^3\longrightarrow\Ecal_\theta \quad\text{on }D_{R_0}^2\times I_0,

where I_0\Subset(-2r,2r) contains t_0. Choose an interval J containing t_0 with \overline J\subset I_0, and choose \chi\in C_c^\infty(I_0) equal to one on J. Multiply each column of \mathcal F by \chi(t) and extend it by zero in t to obtain (a_0^{\nu},b_0^{\nu}) on D_{R_0}^2\times\R. Since D\chi=0, these columns still solve (4.3). They are a frame on D_{2r}^2\times J, and all have transverse support in the fixed compact set K=\supp\chi\Subset I_0.

We construct a physical solution for any one of these columns and suppress \nu. Higher-order transport expansions for systems appear in Eskin and Ralston [7, Section 2, equations (2.2)–(2.4)]. The recursion here must cancel the vector residual while making the conjugated actual divergence have leading term b_0. Its scalar equation makes the next normal constraint compatible with the vector equation; the final correction will be made only in the physical displacement equation. For 1\le j\le N, we seek smooth coefficients (a_j,b_j) on successively smaller disks such that

\begin{aligned} R^\theta(a_j,b_j)&=-R(a_{j-1},b_{j-1}),\\ S^\theta(a_j,b_j)&=-S(a_{j-1},b_{j-1}),\\ \theta\cdot a_j&=-(\diverg a_{j-1}-b_{j-1}). \end{aligned} \tag{4.8}

Throughout this recursion, write q_j=\diverg a_j-b_j and set a_{-1}=b_{-1}=q_{-1}=0. The last equation in (4.8) is the displacement–divergence constraint at order j.

We first verify the compatibility of these three equations. Conjugating P gives E_\tau^{-1}PE_\tau=P+\tau P^\theta. Comparing coefficients of \tau in the conjugated identity (3.2) yields, for arbitrary (a,b),

\diverg R^\theta(a,b)+\theta\cdot R(a,b)-S^\theta(a,b) =P(\theta\cdot a)+P^\theta(\diverg a-b). \tag{4.9}

Suppose the preceding recursive equations have been solved. Apply (4.9) to (a_{j-1},b_{j-1}). For j\ge2, the preceding vector and scalar equations, followed by (3.2), give

\begin{aligned} \diverg R^\theta(a_{j-1},b_{j-1}) -S^\theta(a_{j-1},b_{j-1}) &=-\diverg R(a_{j-2},b_{j-2})+S(a_{j-2},b_{j-2})\\ &=-Pq_{j-2}. \end{aligned}

The preceding normal constraint gives the same term on the other side:

P(\theta\cdot a_{j-1})=-Pq_{j-2}.

For j=1, both expressions are zero by the homogeneous leading equations and q_{-1}=0. In every case these two terms cancel in (4.9), leaving

\theta\cdot R(a_{j-1},b_{j-1})=P^\theta q_{j-1}. \tag{4.10}

Choose a constant vector n_\theta\in\C^3 with \theta\cdot n_\theta=1, and set a_j^{\mathrm p}=-q_{j-1}n_\theta, b_j^{\mathrm p}=0. After subtracting this particular pair from the desired (a_j,b_j), the unknown takes values in \Ecal_\theta. Equations (4.4) and (4.10) show that the residual vector source belongs to H_\theta. Its scalar source is unrestricted. We are therefore left with an inhomogeneous square system on \Ecal_\theta with invertible derivative coefficient. Use the uncut frame \mathcal F and the inhomogeneous part of Lemma 4.1 to solve it on D_{R_j}^2\times I_0. All source terms, including the particular pair and its derivatives, have transverse support in K; the constructed solution retains that support and extends smoothly by zero in t. This proves the induction. After finitely many steps, every coefficient is smooth on D_{R_N}^2\times\R, hence on a neighborhood of \overline B_{5r}.

Set

a^{[N]}=\sum_{j=0}^N\tau^{-j}a_j, \qquad b^{[N]}=\sum_{j=0}^N\tau^{-j}b_j.

The first equation of (4.8) telescopes to

E_\tau^{-1}R(E_\tau a^{[N]},E_\tau b^{[N]}) =\tau^{-N}R(a_N,b_N). \tag{4.11}

The normal constraints telescope separately, giving

E_\tau^{-1}\diverg(E_\tau a^{[N]}) =b^{[N]}+\tau^{-N}q_N. \tag{4.12}

Using the dependence of R on its scalar argument, these identities give the physical residual explicitly:

\begin{aligned} f_\tau &\coloneqq E_\tau^{-1}L(E_\tau a^{[N]})\\ &=\tau^{-N}\bigl[R(a_N,b_N)+k\nabla q_N +(\nabla\lambda)q_N+\tau k\theta q_N\bigr]. \end{aligned} \tag{4.13}

All coefficients on the right are fixed smooth functions. Consequently \norm{f_\tau}_{L^2(B_{5r})}=O(\tau^{1-N}).

Corollary 3.3 gives a correction r_\tau\in L^2(B_{5r};\C^3) satisfying

E_\tau^{-1}L(E_\tau r_\tau)=-f_\tau, \qquad \norm{r_\tau}_{L^2(B_{5r})}=O(\tau^{1-N}).

It is smooth in B_{5r} by Lemma 3.4. The same Lemma, on B_{4r}, gives

\sum_{j=0}^2h^j\norm{\nabla^jr_\tau}_{L^2(B_{4r})} =O(\tau^{1-N}). \tag{4.14}

Define its conjugated physical divergence by

d_\tau=E_\tau^{-1}\diverg(E_\tau r_\tau) =\diverg r_\tau+\tau\theta\cdot r_\tau.

It follows directly from (4.14) that

\norm{d_\tau}_{L^2(B_{4r})} +h\norm{\nabla d_\tau}_{L^2(B_{4r})} \le C\tau\sum_{j=0}^2h^j \norm{\nabla^jr_\tau}_{L^2(B_{4r})} =O(\tau^{2-N}). \tag{4.15}

Now put u_\tau=E_\tau(a^{[N]}+r_\tau). It is a smooth exact solution of Lu_\tau=0 on B_{5r}, and its physical pair satisfies

E_\tau^{-1}(u_\tau,\diverg u_\tau) =\bigl(a^{[N]}+r_\tau, b^{[N]}+\tau^{-N}q_N+d_\tau\bigr).

The smooth finite expansions and the remainder estimates imply the first assertion of (4.7). They also show that, if the last displayed pair is denoted by \mathcal A_\tau, then

\norm{\mathcal A_\tau}_{L^2(B_{4r})} +h\norm{\nabla\mathcal A_\tau}_{L^2(B_{4r})}=O(1).

Since, for j=1,2,3, E_\tau^{-1}\partial_j(E_\tau\mathcal A_\tau) =\partial_j\mathcal A_\tau+\tau\theta_j\mathcal A_\tau, the second assertion of (4.7) follows. Repeating the construction for the three initial columns proves the Proposition.

5 Matching the leading transports

Proposition 5.3 constructs the unique holomorphic comparison of the two leading transports. We first derive a transport normal form and prove a supported estimate for parameter dependence. Throughout this section, a dot between complex vectors denotes the complex bilinear Euclidean product.

Lemma 5.1 (Transport normal form). For one coefficient pair, set g=\nabla\log m. The change of variables

p=\sqrt m\,a, \qquad s=-\frac{k}{2\sqrt m}\,b-\frac12 g\cdot p \tag{5.1}

is a smooth invertible map of \Ecal_\theta to itself. It transforms (4.3) into

D_\theta\binom{p}{s} =M_\theta\binom{p}{s}, \qquad M_\theta= \begin{pmatrix} 0&\theta\\ Q_\theta\cdot&T_\theta \end{pmatrix} \quad\text{on }H_\theta\oplus\C, \tag{5.2}

where

\begin{aligned} T_\theta&=D_\theta\log(k/\ell),\\ Q_\theta&=\frac12\left[ \left(\frac m\ell D_\theta\log k -\frac12\theta\cdot g\right)g -\frac m\ell D_\theta g\right]. \end{aligned} \tag{5.3}

In particular, the bottom-left entry in (5.2) is the covector p\mapsto Q_\theta\cdot p. Both D_\theta and M_\theta depend linearly and holomorphically on \theta.

Proof. The inverse of (5.1) is

a=m^{-1/2}p, \qquad b=-\frac{2\sqrt m}{k}\left(s+\frac12g\cdot p\right).

It is well defined because m,k>0, and multiplication by \sqrt m preserves H_\theta. Write D=D_\theta. Substitution into the first equation in (4.1) gives

0=2\sqrt m\,Dp+\theta(kb+\sqrt m\,g\cdot p), \qquad\text{hence}\qquad Dp=\theta s.

Dividing the second equation by two and using \nabla m=mg yields

0=\ell Db+(Dk)b+2\nabla m\cdot Da+(D\nabla m)\cdot a.

Here

\begin{aligned} 2\nabla m\cdot Da &=2\sqrt m\,g\cdot Dp -\sqrt m\,(D\log m)g\cdot p,\\ (D\nabla m)\cdot a &=\sqrt m\,\bigl((D\log m)g+Dg\bigr)\cdot p. \end{aligned}

The terms containing (D\log m)g\cdot p cancel. Thus

\ell Db=-(Dk)b -\sqrt m\bigl(2(\theta\cdot g)s+(Dg)\cdot p\bigr). \tag{5.4}

Differentiate the definition of s and substitute (5.4), the expression for b, and Dp=\theta s. With c=m/\ell and \gamma=D\log m=\theta\cdot g, the result is

Ds=c(D\log k-\gamma)s +\frac12\bigl[(cD\log k-\gamma/2)g-cDg\bigr]\cdot p.

Finally, since \ell=k+m,

D\log(k/\ell) =D\log k-\frac{Dk+Dm}{\ell} =\frac m\ell(D\log k-D\log m).

This proves the formulas. The top row takes values in H_\theta because \theta\cdot\theta=0. All the direction dependence displayed in the formulas is linear.

The comparison equation can now be described in terms of the columns that the physical construction must supply. Fix \theta and a cylinder D_{2r}^2\times J. Suppose for the moment that Y_1:\C^3\to\Ecal_\theta is a smooth invertible matrix of normalized transport columns for the first medium, and that Y_2:\C^3\to\Ecal_\theta has locally L^2 columns satisfying the second transport equation in distributions:

D_\theta Y_j=M_{j,\theta}Y_j,\qquad j=1,2.

The columns in each Y_j are normalized by that medium’s own change of variables (5.1). These changes agree outside \overline\Omega, where the extended coefficients agree. Thus exterior agreement of the corresponding physical leading columns gives Y_2=Y_1 there.

Under this exterior agreement, define

G=Y_2Y_1^{-1}\in\operatorname{End}(\Ecal_\theta).

Only Y_1 is required to be invertible. Multiplication by its smooth inverse is legitimate for locally L^2 columns, and the product rule in distributions gives

D_\theta G=M_{2,\theta}G-GM_{1,\theta}, \qquad G=\Id\quad\text{outside }\overline\Omega

on the cylinder. Consequently W=G-\Id is locally L^2 and supported in \overline\Omega within that cylinder.

For a transverse coordinate t, restrict the coefficients to the corresponding plane and use a basis of \Ecal_\theta fixed in x. On planar endomorphism-valued unknowns define

\Pcal_{\theta,t}W =D_\theta W-M_{2,\theta}W+WM_{1,\theta}, \qquad f_{\theta,t}=M_{2,\theta}-M_{1,\theta}. \tag{5.5}

The supported planar equation required for the comparison is

\Pcal_{\theta,t}W=f_{\theta,t}. \tag{5.6}

Matrices here may be regarded as vectors of their nine entries. For almost every t, the L^2 planar restriction of the local W is supported in \overline{D_r^2} because \overline\Omega\subset B_r. The physical transfer and weak-limit argument below will supply the second columns Y_2. Slicing their distributional cylinder equation will initially give (5.6) only for almost every t. We therefore need both uniqueness for supported planar solutions and a way to pass from this almost-everywhere construction to smooth dependence on every parameter. The next lemma provides these facts on fixed Hilbert spaces, which will also allow the planes to vary.

Lemma 5.2 (Supported planar transport). Let \mathcal U\subset\R^d be open, let n\geq1, and suppose that

\Pcal_\rho =\gamma(\rho)(\partial_{y_1}+i\partial_{y_2}) +A(y,\rho), \qquad \rho\in\mathcal U,

where \gamma is smooth and nonzero and A is a smooth complex n\times n matrix on a neighborhood of \overline{D_{2r}^2}\times\mathcal U. Then the following statements hold.

  1. (i)

    A distributional solution of \Pcal_\rho W=0 on D_{2r}^2 whose support is a compact subset of that disk is zero.

  2. (ii)

    For every integer j\geq0 and every W\in H^{j+1}(D_{2r}^2;\C^n) supported in \overline{D_r^2},

    \norm{W}_{H^{j+1}(D_{2r}^2)} \leq C_j\norm{\Pcal_\rho W}_{H^j(D_{2r}^2)}, \qquad \supp W\subset\overline{D_r^2}. \tag{5.7}

    The constants are locally uniform in \rho.

  3. (iii)

    Suppose that f(y,\rho) is smooth on a neighborhood of \overline{D_{2r}^2}\times\mathcal U. If the equation \Pcal_\rho W=f(\cdot,\rho) has an L^2 solution supported in \overline{D_r^2} for a dense set of parameters \rho, then it has such a solution for every \rho. These solutions are unique and form a smooth function of (y,\rho).

The same conclusions apply to matrix-valued unknowns, after their entries are regarded as a vector.

Proof. For a fixed parameter, \Pcal_\rho is elliptic in the two real planar variables: its principal symbol is \gamma(\rho)(i\xi_1-\xi_2), which is nonzero for \xi\in\R^2\setminus\{0\}. On each sufficiently small disk, Lemma 4.1 gives a smooth invertible matrix F satisfying \Pcal_\rho F=0. If \Pcal_\rho W=0, then

(\partial_{y_1}+i\partial_{y_2})(F^{-1}W)=0

in distributions. Its components are therefore holomorphic functions of y_1+iy_2. A homogeneous solution that vanishes on an open set vanishes on every overlapping frame disk by the holomorphic identity theorem. Connectedness propagates this conclusion throughout D_{2r}^2. A compactly supported solution vanishes near the boundary of the disk, proving (i).

We give the estimate on the fixed supported space. Extending W by zero to \R^2 is harmless because its support lies in \overline{D_r^2}. The Fourier symbol just computed gives

\norm{W}_{H^{j+1}} \leq C\bigl( \norm{\gamma(\rho)(\partial_{y_1}+i\partial_{y_2})W}_{H^j} +\norm{W}_{L^2}\bigr).

Here and below in this proof the norms can equivalently be taken on D_{2r}^2, since the functions under consideration are supported in the smaller disk. Smooth multiplication and, for j\geq1, the interpolation estimate \norm{W}_{H^j}\leq\varepsilon\norm{W}_{H^{j+1}} +C_\varepsilon\norm{W}_{L^2} give

\norm{W}_{H^{j+1}} \leq C\bigl(\norm{\Pcal_\rho W}_{H^j} +\norm{W}_{L^2}\bigr). \tag{5.8}

The coefficients can be cut off outside a neighborhood of the smaller disk for this calculation. We will also use local regularity for an L^2 distributional solution with smooth right side. In a local frame F, its equation becomes a scalar Cauchy–Riemann equation componentwise with smooth right side. Subtracting a smooth local particular solution, as supplied by Lemma 4.1, leaves holomorphic components. The original solution is therefore smooth in the disk.

To remove the last term in (5.8), suppose that (5.7) fails at a fixed parameter. There would then be a sequence W_\nu, supported in \overline{D_r^2}, such that

\norm{W_\nu}_{H^{j+1}}=1, \qquad \norm{\Pcal_\rho W_\nu}_{H^j}\longrightarrow0.

After passing to a subsequence, compactness of the embedding into L^2(D_{2r}^2) gives a strong L^2 limit W. This limit is supported in \overline{D_r^2} and solves \Pcal_\rho W=0 distributionally. Part (i) gives W=0. Equation (5.8) now contradicts the normalization of W_\nu. This proves (ii) at a fixed parameter.

For the parameter assertions, equip the fixed complex Hilbert spaces

\begin{aligned} X_j&=\{W\in H^{j+1}(D_{2r}^2;\C^n): \supp W\subset\overline{D_r^2}\},\\ Z_j&=H^j(D_{2r}^2;\C^n) \end{aligned}

with their usual Hermitian Sobolev inner products. The subspace X_j is closed. The map \rho\mapsto\Pcal_\rho is smooth in \mathcal L(X_j,Z_j). The estimate at \rho_0 persists in a neighborhood: absorb \norm{(\Pcal_\rho-\Pcal_{\rho_0})W}_{Z_j} into its left side when the operator norm of the difference is small. This proves local uniformity in (ii).

Write \Pcal_\rho^*:Z_j\to X_j for the Hilbert space adjoint with respect to these fixed inner products. In particular, this is not an adjoint in the complex bilinear pairing used for the null vectors. The lower bound in (ii) implies that \Pcal_\rho^*\Pcal_\rho:X_j\to X_j is coercive and invertible. Consequently

T_{\rho,j} =(\Pcal_\rho^*\Pcal_\rho)^{-1}\Pcal_\rho^* :Z_j\longrightarrow X_j \tag{5.9}

is a bounded left inverse. It depends smoothly on \rho, since adjoints and inversion of bounded invertible operators do so locally. This argument uses a lower bound for \Pcal_\rho; it requires no surjectivity onto Z_j.

For each j, set W_j(\rho)=T_{\rho,j}f(\cdot,\rho). An L^2 supported solution, whenever it exists, is smooth by interior ellipticity and hence belongs to every X_j. It must equal W_j(\rho) by the left-inverse identity. Thus the smooth Z_j-valued residual

\Pcal_\rho W_j(\rho)-f(\cdot,\rho)

vanishes on the assumed dense set, and continuity makes it zero for every \rho. Uniqueness in (i) identifies the solutions for different j. Smooth dependence with values in every H^{j+1}, together with Sobolev embedding in the planar variables, gives joint smoothness in (y,\rho). This proves (iii).

Let

\mathcal C=\{[\theta]\in\C\mathrm P^2: \theta\cdot\theta=0\}

be the projective null conic. The fibers \Ecal_\theta=H_\theta\oplus\C form a holomorphic subbundle \Ecal of the trivial bundle \mathcal C\times\C^4. For example, on a chart where \theta_i\ne0, the vectors e_j-(\theta_j/\theta_i)e_i, j\ne i, give a holomorphic frame of H_\theta; adjoining the scalar component gives one of \Ecal.

Cekić constructs a transport comparison for connection Laplacians that equals the identity in the outer exterior component [2, Theorem 3.4 in the arXiv version], using full connection-system boundary data on a trivial vector bundle. The comparison below is obtained from physical elastic transfer and weak limits on the constrained fibers \Ecal_\theta.

Proposition 5.3 (Matching of the transports). For the two extended coefficient pairs of Lemma 2.1, equality of the physical displacement-to-traction maps implies that there is a unique smooth field

G(x,[\theta])\in\operatorname{End}(\Ecal_\theta), \qquad (x,[\theta])\in\R^3\times\mathcal C,

satisfying, for every nonzero representative \theta,

\begin{aligned} D_\theta G&=M_{2,\theta}G-GM_{1,\theta},\\ G(x,[\theta])&=\Id\qquad\text{if }|x|>2r. \end{aligned} \tag{5.10}

For each fixed x, this field is a holomorphic section of \operatorname{End}(\Ecal) over \mathcal C. In fact, for each fixed direction the first equation has at most one smooth solution whose difference from the identity has compact spatial support.

Proof. Physical transfer and weak limits. Fix a nonzero null vector \theta and t_0\in(-2r,2r). Apply Proposition 4.2 to the first coefficient pair. It supplies three exact smooth solutions on B_{5r}, with the limits and estimates in (4.7), and an interval J containing t_0 on which their leading columns form a frame on D_{2r}^2\times J. We perform the following construction for each column, temporarily suppressing its index.

By Proposition 2.2, the first solution u_{1,\tau} has a smooth transferred solution u_{2,\tau} on B_{5r}, with u_{2,\tau}=u_{1,\tau} outside \overline\Omega. Define the physical augmented vectors

V_{j,\tau}=(u_{j,\tau},\diverg u_{j,\tau}),\qquad j=1,2.

The difference V_{2,\tau}-V_{1,\tau} is smooth and compactly supported in \overline\Omega\subset B_r. By Lemma 3.1,

\Lcal_2(V_{2,\tau}-V_{1,\tau}) =(\Lcal_1-\Lcal_2)V_{1,\tau}. \tag{5.11}

Both normalized systems have principal part \Delta\Id_4. Their difference is therefore an operator of order at most one, whose coefficients are supported in \overline\Omega. The weighted derivative bound in (4.7) implies

\begin{aligned} \norm{E_\tau^{-1}(\Lcal_1-\Lcal_2)V_{1,\tau}}_{L^2} &\leq C\left( \norm{E_\tau^{-1}V_{1,\tau}}_{L^2(B_{4r})} +\norm{E_\tau^{-1}\nabla V_{1,\tau}}_{L^2(B_{4r})} \right)\\ &=O(\tau). \end{aligned}

The function on the left is extended by zero off its compact support when a norm on \R^3 is used. Apply Proposition 3.2 to the difference in (5.11). Since \norm{F}_{H_h^{-1}}\leq\norm{F}_{L^2} and h=\tau^{-1}, we obtain

\begin{aligned} \norm{E_\tau^{-1}(V_{2,\tau}-V_{1,\tau})}_{H_h^1} &\leq Ch\norm{E_\tau^{-1}(\Lcal_1-\Lcal_2)V_{1,\tau}}_{H_h^{-1}}\\ &\leq C. \end{aligned} \tag{5.12}

Thus E_\tau^{-1}V_{2,\tau} is bounded in L^2(B_{4r}). After passage to a subsequence, chosen simultaneously for the three columns, it converges weakly to a vector (\widetilde a,\widetilde b). The strong convergence of the first amplitudes and the exterior agreement of the physical solutions give

(\widetilde a,\widetilde b)=(a_0,b_0) \quad\text{almost everywhere on } B_{4r}\setminus\overline\Omega. \tag{5.13}

These weak limits satisfy the constrained transport for the second pair. To see this directly, write (a_\tau,b_\tau)=E_\tau^{-1}V_{2,\tau}. The exact equations and the null condition give

\begin{aligned} R_2^\theta(a_\tau,b_\tau) +\tau^{-1}R_2(a_\tau,b_\tau)&=0,\\ S_2^\theta(a_\tau,b_\tau) +\tau^{-1}S_2(a_\tau,b_\tau)&=0. \end{aligned}

When tested against a fixed compactly supported smooth function, the terms multiplied by \tau^{-1} tend to zero: all their derivatives can be transferred to that test function, while the amplitudes remain bounded in L^2. Weak convergence passes the remaining terms to the limit. Moreover, the physical divergence identity says

\theta\cdot a_\tau =\tau^{-1}(b_\tau-\diverg a_\tau),

so \theta\cdot\widetilde a=0 distributionally. We have proved

R_2^\theta(\widetilde a,\widetilde b)=0, \qquad S_2^\theta(\widetilde a,\widetilde b)=0, \qquad (\widetilde a,\widetilde b)\in\Ecal_\theta.

No derivative estimate on the transferred amplitudes, beyond their L^2 bound, is needed for this passage to the limit.

The physical transfer has therefore produced the second transport columns, but only as weak limits. We next obtain a supported comparison on almost every transverse plane and use supported uniqueness to extend it to every plane.

A comparison on almost every plane. Apply (5.1) to the three leading columns for each pair and denote the resulting maps by Y_j:\C^3\to\Ecal_\theta. For j=2, these columns are initially locally L^2; they satisfy the equations distributionally. Since J\subset(-2r,2r), the cylinder on which the first columns form a frame satisfies

D_{2r}^2\times J\subset B_{\sqrt8\,r}\subset B_{4r}.

Thus the weak limits constructed above are defined throughout this cylinder, where

D_\theta Y_j=M_{j,\theta}Y_j,

and Y_1 is smooth and invertible. The change of variables agrees for the two pairs outside \overline\Omega. Define

G=Y_2Y_1^{-1}.

The calculation preceding Lemma 5.2 now applies: G is a locally L^2 endomorphism on the cylinder, equals the identity outside \overline\Omega, and satisfies the first equation of (5.10) distributionally. With W=G-\Id, this is the cylinder version of (5.6). The operator D_\theta differentiates only the planar variables. Testing the cylinder equation with products of a planar test function and a transverse test function, and then using a countable dense collection of planar tests, gives (5.6) on D_{2r}^2 for almost every t\in J. For these t, W(\cdot,t) belongs to L^2(D_{2r}^2) and has support in \overline{D_r^2}. Indeed, W=0 when |y|>r, and on its remaining support multiplication by Y_1^{-1} is locally bounded uniformly in t. These assertions can first be made on compact subintervals of J and then exhausted over J.

Existence on every plane. In the orthonormal coordinates associated with the fixed \theta,

D_\theta=|\operatorname{Re}\theta| (\partial_{y_1}+i\partial_{y_2}).

Thus (5.5), as an operator on matrix entries, has the form of Lemma 5.2. Its coefficients and the source f_{\theta,t} are smooth in (y,t). The set of parameters for which a supported solution has just been obtained has full measure in J, and hence is dense. Part (iii) of that lemma extends existence to every t\in J and makes W smooth in (y,t). It also makes the choice unique, so the results from different intervals J agree on their overlaps.

Since t_0 was arbitrary, this constructs G for every -2r<t<2r. Extend W=G-\Id by zero in the planar variables outside D_{2r}^2. This extension is smooth because W is already zero for r<|y|<2r. The equation holds across this extension, and it holds farther out because f_{\theta,t}=0 there. If |t|>r, the entire plane misses \overline\Omega, so f_{\theta,t}=0. Part (i) of Lemma 5.2 then gives W=0 on that plane. Extending by zero also for |t|\geq2r is therefore smooth. For this fixed direction we have constructed a global smooth comparison with

\supp(G(\cdot,\theta)-\Id) \subset\{(y,t):|y|\leq r,\ |t|\leq r\} \subset\overline{B_{2r}}. \tag{5.14}

The final containing ball is independent of the direction.

For later use, uniqueness holds even if a larger compact support is allowed. The difference of two such comparisons solves the homogeneous equation on every plane and has compact support there. The local-frame and holomorphic-continuation argument in Lemma 5.2, applied on a disk containing that support, makes the difference zero on each plane.

Smooth dependence on the direction. The preceding construction gives a unique comparison separately for every nonzero null vector \theta. If c\in\C\setminus\{0\}, then \Ecal_{c\theta}=\Ecal_\theta, and

D_{c\theta}=cD_\theta, \qquad M_{j,c\theta}=cM_{j,\theta}.

The equations for \theta and c\theta are consequently identical after division by c. Compact-support uniqueness gives G(x,c\theta)=G(x,\theta), so the field is already well defined on projective directions as a pointwise family.

Choose a local smooth representative \theta(v) of those directions, where v ranges over an open subset of \R^2, and a smooth local frame of \Ecal. Define the orthonormal vectors

e_1(v)=\frac{\operatorname{Re}\theta(v)} {|\operatorname{Re}\theta(v)|}, \quad e_2(v)=\frac{\operatorname{Im}\theta(v)} {|\operatorname{Im}\theta(v)|}, \quad e_3(v)=e_1(v)\times e_2(v).

They vary smoothly: the real and imaginary parts of a nonzero null vector are nonzero, perpendicular, and of equal length. In the coordinates

x=y_1e_1(v)+y_2e_2(v)+te_3(v),

and the chosen bundle frame, (5.6) is a smooth family of operators of the form in Lemma 5.2, with parameters (t,v) on the fixed disk D_{2r}^2. For every value of these parameters a solution supported in \overline{D_r^2} has already been constructed. The smooth left inverse (5.9) therefore expresses this unique solution as a smooth function of (y,t,v). Returning to physical coordinates gives joint smoothness in (x,v).

This reasoning uses the separate fixed-direction existence results and their uniqueness. In particular, none of the earlier weakly convergent subsequences has to be chosen simultaneously for varying directions.

Holomorphic dependence at fixed physical coordinates. A close precedent for this parameter argument is Cekić [2, Theorem 3.4 and Lemma 4.1 in the arXiv version], whose parameter argument follows Eskin’s complex-parameter method [5]. Now let v be a complex local coordinate on \mathcal C. Choose a holomorphic nonzero representative \theta(v) and a holomorphic frame of \Ecal on this chart. This frame depends only on v. In this frame the matrices M_{j,\theta(v)}(x) are holomorphic in v for each fixed x: the ambient formulas (5.2)–(5.3) are holomorphic in \theta, and passage to a holomorphic bundle frame preserves that property.

Represent G in the same frame and differentiate the first equation of (5.10) by \partial_{\bar v}, holding x\in\R^3 fixed. Joint smoothness just established justifies this differentiation. Since the representative and the frame are holomorphic and the frame is independent of x, the result is exactly

D_{\theta(v)}(\partial_{\bar v}G) -M_{2,\theta(v)}\partial_{\bar v}G +(\partial_{\bar v}G)M_{1,\theta(v)}=0.

The derivative here is a matrix in a holomorphic trivialization, hence represents an endomorphism of the same fiber \Ecal_{\theta(v)}. The common support bound (5.14) implies that this derivative is zero for |x|>2r. Compact-support uniqueness on each plane gives \partial_{\bar v}G=0. The smooth moving coordinates were used to establish joint regularity; the equation was differentiated only after returning to fixed physical coordinates. We conclude that G(x,\cdot) is holomorphic on \mathcal C for every x, completing the proof.

6 Recovery of the coefficients

The holomorphic comparison from Proposition 5.3 is constrained by the geometry of its polarization bundle. We first show that this comparison is the identity, and then recover the coefficients from the transport matrices.

6.1 The bundle on the null conic

Let H\to\mathcal C be the holomorphic bundle with fiber H_\theta, and let \mathcal N\subset H be the null line subbundle with fiber \C\theta. Thus \Ecal=H\oplus\mathcal O, where \mathcal O denotes the trivial holomorphic line bundle on \mathcal C. On \mathbb P^1(\C), let \mathcal O(-1) denote the tautological line bundle and \mathcal O(-2) its tensor square.

Lemma 6.1. The bundle H has no nonzero global holomorphic sections, and H/\mathcal N is holomorphically trivial. More precisely, under the identification \mathcal C\simeq\mathbb P^1(\C),

H\simeq\mathcal O(-1)^{\oplus2},\qquad \mathcal N\simeq\mathcal O(-2),

and their quotient sequence is

0\longrightarrow\mathcal O(-2) \xrightarrow{\ (z_0,z_1)^T\ } \mathcal O(-1)^{\oplus2} \xrightarrow{\ (-z_1,z_0)\ } \mathcal O\longrightarrow0. \tag{6.1}

Here [z_0:z_1] are homogeneous coordinates on \mathbb P^1(\C).

Proof. A homogeneous parametrization of the conic is

\theta(z_0,z_1) =(z_0^2-z_1^2,\ i(z_0^2+z_1^2),\ 2z_0z_1). \tag{6.2}

It identifies \mathbb P^1(\C) with \mathcal C: on the first coordinate chart its inverse is z_1/z_0=\theta_3/(\theta_1-i\theta_2), and on the second it is z_0/z_1=\theta_3/(-\theta_1-i\theta_2). The denominators cannot both vanish at a point of \mathcal C.

Consider the two degree-one columns

h_1=(z_0,iz_0,z_1),\qquad h_2=(-z_1,iz_1,z_0).

Direct calculation, with the complex bilinear product, gives

\theta\cdot h_1=\theta\cdot h_2=0,\qquad h_1\times h_2=i\theta,\qquad \theta=z_0h_1+z_1h_2. \tag{6.3}

To interpret these homogeneous formulas as bundle maps, write \mathcal O(-1)_{[z]}=\C z for z=(z_0,z_1). The assignment

(\xi_1z,\xi_2z)\longmapsto \xi_1h_1(z)+\xi_2h_2(z)

is independent of the representative: replacing z by cz replaces \xi_j by c^{-1}\xi_j and h_j(z) by ch_j(z). Its local polynomial formulas are holomorphic. Since the images lie in H and are linearly independent at every point, it is an isomorphism \mathcal O(-1)^{\oplus2}\to H. Likewise, \xi z^{\otimes2}\mapsto\xi\theta(z) is well defined because \theta(cz)=c^2\theta(z), and identifies \mathcal O(-2) with \mathcal N. The final identity in (6.3) gives the first map in (6.1).

The expression -z_1\xi_1+z_0\xi_2 is also unchanged under the same representative scaling, so its local polynomial formulas define a holomorphic map to the trivial line bundle \mathcal O. The row (-z_1,z_0) is everywhere surjective, and its kernel is the image of (z_0,z_1)^T. This proves the quotient assertion, including at both coordinate-chart endpoints. It is also consistent with the induced bilinear form: for p=\xi_1 h_1+\xi_2 h_2 in a local frame,

p\cdot p=(-z_1\xi_1+z_0\xi_2)^2.

Finally, any holomorphic section of H has holomorphic ambient components on the compact conic, so those components are constant. Such a constant vector is orthogonal to every null vector. The vectors \theta(1,0), \theta(0,1) and \theta(1,1) span \C^3, so the section is zero.

Remark 6.2. The exact sequence (6.1) does not split holomorphically: a splitting would give a nonzero global section of H. On the other hand, the displayed splitting of H itself gives nonscalar holomorphic endomorphisms of H. The next argument uses the transport equation to restrict those endomorphisms.

Proposition 6.3. The comparison endomorphism of Proposition 5.3 is G=\Id. Consequently, for every x\in\R^3 and every nonzero null vector \theta,

M_{1,\theta}=M_{2,\theta}\quad\text{on }\Ecal_\theta. \tag{6.4}

Proof. Fix x. Relative to \Ecal=H\oplus\mathcal O, the upper-right block of the holomorphic endomorphism G(x,\cdot) is a global holomorphic section of H, and therefore vanishes by Lemma 6.1. Its lower-right block is a holomorphic scalar function on the compact conic, and hence is independent of direction. We may thus write

G=\begin{pmatrix}F&0\\ A&f\end{pmatrix},\qquad f=f(x).

All these blocks are smooth in x. Taking the upper-right block of (5.10), and using (5.2), gives

0=\theta f-F\theta.

It follows that F-f\Id_H vanishes on \mathcal N. This holomorphic bundle morphism consequently factors through H/\mathcal N. By Lemma 6.1, its factor is a morphism \mathcal O\to H, which must vanish. Thus F=f\Id_H.

The upper-left block of (5.10) now reads

(D_\theta f)\Id_{H_\theta}=\theta A. \tag{6.5}

The right side has rank at most one, while H_\theta has dimension two. Therefore D_\theta f=0. Equation (6.5) then gives A=0, since \theta\ne0. As null vectors span \C^3, we obtain \nabla f=0. The exterior identity value of G fixes f=1, so G=\Id. Substitution in (5.10) proves (6.4).

6.2 A finite-type uniqueness lemma

We will show that equality of the restricted bottom-left transport blocks leaves at most a scalar-identity ambiguity, then use the following elementary lemma to remove it. Indices in the lemma range from 1 to n; all sums are written explicitly.

Lemma 6.4. Let U\subset\R^n be connected and open, with n\ge2, and let \eta,q and B_{ij}^{\ a} be smooth, real- or complex-valued functions on U satisfying

\partial_i\partial_j\eta =\sum_{a=1}^n B_{ij}^{\ a}\partial_a\eta+\delta_{ij}q. \tag{6.6}

Then (\nabla\eta,q) satisfies a homogeneous first-order system with smooth coefficients. In particular, if \eta vanishes on a nonempty open subset of U, then \eta=q=0 on U.

Proof. Put v_a=\partial_a\eta. For each s, choose one index i=i(s) with i\ne s, without summing over i. Equation (6.6) and commutation of third derivatives give

\begin{align*} \partial_s q &=\partial_i\left(\sum_{a=1}^n B_{si}^{\ a}v_a\right) -\partial_s\left(\sum_{a=1}^n B_{ii}^{\ a}v_a\right)\\ &=\sum_{a=1}^n (\partial_i B_{si}^{\ a}-\partial_s B_{ii}^{\ a})v_a +\sum_{a=1}^n (B_{si}^{\ a}\partial_i v_a-B_{ii}^{\ a}\partial_s v_a).\end{align*}

There is no derivative of q on the right because the off-diagonal entry \partial_s\partial_i\eta in (6.6) has \delta_{si}=0. Substituting that equation for the derivatives of v yields

\begin{aligned} \partial_s v_a&=\sum_{b=1}^n B_{as}^{\ b}v_b+\delta_{as}q,\\ \partial_s q&=\sum_{b=1}^n C_s^{\ b}v_b+d_s q, \end{aligned} \tag{6.7}

where the smooth coefficients are explicitly

\begin{aligned} C_s^{\ b} &=\partial_i B_{si}^{\ b}-\partial_s B_{ii}^{\ b} +\sum_{a=1}^n \bigl(B_{si}^{\ a}B_{ai}^{\ b}-B_{ii}^{\ a}B_{as}^{\ b}\bigr),\\ d_s&=B_{si}^{\ i}-B_{ii}^{\ s}. \end{aligned} \tag{6.8}

This is the claimed homogeneous system for v and q.

If \eta=0 on an open subset, then v=0 there, and a diagonal entry of (6.6) also gives q=0 there. Along any piecewise smooth path in U, Equation (6.7) restricts to a homogeneous linear ordinary differential equation for (v,q). Uniqueness with zero initial data propagates its vanishing along the path. An open connected subset of \R^n is path connected, so v=q=0 on U. Finally, \eta is constant on U, and its value on the initial open subset is zero.

6.3 Completion of the coefficient recovery

Proof of Theorem 1.1. Suppose that the two displacement-to-traction maps agree, and use the common exterior extensions furnished by Lemma 2.1. Propositions 5.3 and 6.3 give equality of the transport matrices on \Ecal_\theta for every nonzero null \theta. In particular, (5.3) gives

D_\theta\log(k_1/\ell_1) =D_\theta\log(k_2/\ell_2).

Since null vectors span \C^3, the difference of these logarithms has zero gradient. Its exterior value is zero. Hence k_1/\ell_1=k_2/\ell_2 on \R^3, and the functions

c=\frac{m_1}{\ell_1}=\frac{m_2}{\ell_2}>0, \qquad b_* =\log\frac{k_1}{m_1}=\log\frac{k_2}{m_2} \tag{6.9}

are well defined and smooth. Indeed, m_j/\ell_j=1-k_j/\ell_j, and k_j/m_j=(k_j/\ell_j)/(1-k_j/\ell_j).

Equality of the bottom-left blocks on \Ecal_\theta means

(Q_{1,\theta}-Q_{2,\theta})\cdot p=0 \qquad(p\in H_\theta).

The annihilator of H_\theta=\theta^\perp for the nondegenerate ambient bilinear form is \C\theta. Since each Q_{j,\theta} is linear in \theta, there is a smooth ambient matrix K(x) such that

Q_{1,\theta}-Q_{2,\theta}=K(x)\theta\in\C\theta \qquad(\theta\cdot\theta=0). \tag{6.10}

For fixed x, the proportionality factor in (6.10) is a holomorphic function on \mathcal C. To see this at every point, choose a local holomorphic representative \theta and a component \theta_a\ne0; the factor is (K\theta)_a/\theta_a. These expressions agree on overlapping charts and are unchanged by rescaling the representative. Compactness of \mathcal C makes the factor constant in direction. The spanning property of null vectors then gives

K(x)=\kappa(x)\Id,\qquad \kappa(x)=\tfrac13\tr K(x). \tag{6.11}

In particular, \kappa is smooth.

Set

\eta=\log m_1-\log m_2,\qquad v=\nabla\eta=g_1-g_2, \qquad \beta=\nabla b_*,\qquad \alpha=\frac{c-1/2}{c},

where g_j=\nabla\log m_j. Because \nabla\log k_j=g_j+\beta, the expression for Q in (5.3) becomes

2Q_{j,\theta} =\bigl((c-1/2)g_jg_j^T+c g_j\beta^T -c\nabla^2\log m_j\bigr)\theta.

Subtract these identities, use g_1g_1^T-g_2g_2^T=g_1v^T+vg_2^T, and apply (6.11). Defining the smooth scalar q=-2\kappa/c, we obtain

\nabla^2\eta =\alpha(g_1v^T+vg_2^T)+v\beta^T+q\Id.

Equivalently,

\begin{aligned} \partial_i\partial_j\eta &=\sum_{a=1}^3 B_{ij}^{\ a}\partial_a\eta+\delta_{ij}q,\\ B_{ij}^{\ a} &=\alpha(g_1)_i\delta_{ja} +\bigl(\alpha(g_2)_j+\beta_j\bigr)\delta_{ia}. \end{aligned} \tag{6.12}

The coefficients B_{ij}^{\ a} are smooth on \R^3. They are fixed functions determined by the two coefficient pairs under comparison. The common exterior extension gives \eta=0 on a nonempty exterior open set. Lemma 6.4, applied to (6.12), yields \eta=0 throughout \R^3. Thus m_1=m_2. Equation (6.9) then gives k_1=m_1e^{b_*}=m_2e^{b_*}=k_2, and therefore

\mu_1=\mu_2,\qquad \lambda_1=k_1-m_1=k_2-m_2=\lambda_2.

Restricting to \Omega proves the theorem.

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