This paper investigates the existence and lower bounds of non-scattering energies for acoustic equations on manifolds with a flat end, linking the problem to interior transmission eigenvalues.
Contribution
It establishes a Weyl-type lower bound for the number of non-scattering energies on such manifolds, advancing understanding of wave behavior in inhomogeneous media.
Findings
01
Proves existence of non-scattering energies under certain conditions
02
Derives a Weyl-type lower bound for their count
03
Connects non-scattering energies to interior transmission eigenvalues
Abstract
In this paper, we consider the scattering theory for acoustic-type equations on non-compact manifolds with a single flat end. Our main purpose is to show an existence result of non-scattering energies. Precisely, we show a Weyl-type lower bound for the number of non-scattering energies. Usually a scattered wave occurs for every incident wave by the inhomogeneity of the media. However, there may exist suitable wavenumbers and patterns of incident waves such that the corresponding scattered wave vanishes. We call (the square of) this wavenumber a non-scattering energy in this paper. The problem of non-scattering energies can be reduced to a well-known interior transmission eigenvalues problem.
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Full text
Non-scattering energies for acoustic-type equations on manifolds with a single flat end
Hisashi MORIOKA
Graduate School of Science and Engineering,
Ehime University, Bunkyo-cho 3, Matsuyama, Ehime, 790-8577, Japan
In this paper, we consider the scattering theory for acoustic-type equations on non-compact manifolds with a single flat end.
Our main purpose is to show an existence result of non-scattering energies.
Precisely, we show a Weyl-type lower bound for the number of non-scattering energies.
Usually a scattered wave occurs for every incident wave by the inhomogeneity of the media.
However, there may exist suitable wavenumbers and patterns of incident waves such that the corresponding scattered wave vanishes.
We call (the square of) this wavenumber a non-scattering energy in this paper.
The problem of non-scattering energies can be reduced to a well-known interior transmission eigenvalues problem.
Key words and phrases:
Interior transmission eigenvalue, Non-scattering energy, Weyl’s law, Scattering theory
2000 Mathematics Subject Classification:
Primary 35P20, Secondary 47A40
This work is partially supported by the JSPS grants-in-aid No. 16K17630 and by the Research Institute for Mathematical Sciences, a Joint Usage/Research Center located in Kyoto University.
1. Introduction
1.1. Non-scattering energy
In this paper, we study a Weyl-type lower bound for the number of non-scattering energies (NSEs) for acoustic-type equations on non-compact manifolds with a single flat end.
Let M be a connected and non-compact C∞-Riemannian manifold of dimension d≥2.
We assume that M is split into two parts
[TABLE]
where K is a connected and compact subset, and Ωe which is called end of M is diffeomorphic to a connected exterior domain in Rd with smooth boundary.
Thus we identify Ωe with a connected exterior domain Rd∖Ω0i where Ω0i is a bounded domain in Rd with smooth boundary.
For the sake of simplicity, we consider the case where Ω0i is also connected.
In the following, Ωi and Γ denote the interior of K and its smooth boundary, respectively.
Then Ωi is a bounded domain in M with smooth boundary Γ.
The Riemannian metric g=(gkl)k,l=1d is positive-definite on M, and g satisfies gkl(p)=δkl for p∈Ωe.
Let Δg be the Laplace-Beltrami operator on M.
It is well-known that Δg is represented as
[TABLE]
in local coordinates x=(x1,…,xd), where (gkl)k,l=1d=g−1 and g=detg.
Now we consider the equation
[TABLE]
where the coefficient n∈C(M) satisfies n\big{|}_{\mathcal{K}}\in C^{\infty}(\mathcal{K}), supp(n−1)=K, n is strictly positive on M, and ∂νn(p)=0 for all p∈Γ.
Note that the sign of ∂νn(p) does not change for all p∈Γ.
Here ∂νn(p) for p∈Γ is the outward normal derivative of n on the boundary Γ in the sense of
[TABLE]
where ⟨⋅,⋅⟩g is the inner product on TpM for every p∈M equipped with the Riemannian metric g, Gradn is the gradient of n, and γ(⋅) is the geodesic on K emanating from p∈Γ with the initial velocity vector −ν(p) for the outward unit normal vector ν(p) at p∈Γ.
In view of the assumption of the Riemannian metric g, note that ∂ν coincides with the outward normal derivative induced from the Euclidean metric.
We consider the scattering theory associated with the equation (1.2) without assumptions in topology of Ωi.
Our model includes the usual acoustic wave equation on Rd as a special case.
In fact, if we put Ωi=Ω0i=:Ω and gkl=δkl on M, we have M=Rd and the equation (1.2) can be rewritten as
[TABLE]
where Δ is the Euclidean Laplacian on Rd.
Given an incident wave ui(x)=eiλx⋅ω with an incident direction ω∈Sd−1 and energy λ>0, the scattered wave us is described by the difference between the total wave u and the incident wave ui where u=ui+us is the solution to (1.4) satisfying the asymptotic behavior
[TABLE]
as ∣x∣→∞ for a constant C(λ).
Here the function A(λ;ω,θ) is the scattering amplitude with respect to ω and θ=x/∣x∣∈Sd−1.
We can replace the incident wave by the Herglotz wave
[TABLE]
where dΣ is the measure on Sd−1 induced by the Euclidean measure.
Then the associated scattered wave satisfies the asymptotic behavior of the form
[TABLE]
as ∣x∣→∞ for a constant C′(λ) where A(λ) is a compact operator on L2(Sd−1).
Moreover, the scattering amplitude A(λ;ω,θ) is the integral kernel of A(λ).
Thus A(λ)ϕ determines the far-field pattern of the scattered wave associated with the inhomogeneity n.
If the operator A(λ) has the eigenvalue [math], there exists a non-trivial solution ϕ∈L2(Sd−1) to the equation A(λ)ϕ=0.
Moreover, the asymptotic behavior of us implies u(x)=ui(x)+o(∣x∣−(d−1)/2) as ∣x∣→∞, if we take ϕ as the non-trivial solution to A(λ)ϕ=0.
Rellich’s uniqueness theorem ([23], [27]) and the unique continuation property for Helmholtz equations show that u−ui vanishes outside Ω.
Now we define the notion of non-scattering energies (NSEs) for the equation (1.4) as follows.
Definition 1.1**.**
If there exists a non-trivial solution ϕ∈L2(Sd−1) to the equation A(λ)ϕ=0, we call the corresponding λ>0 a non-scattering energy (NSE).
We can reduce the problem of NSEs to the interior transmission eigenvalue (ITE) problem.
Since u−ui vanishes outside Ω, the pair (w1,w2) where w_{1}:=u\big{|}_{\overline{\Omega}} and w_{2}:=u_{i}\big{|}_{\overline{\Omega}} is a non-trivial solution of the system of Helmholtz equations
[TABLE]
Definition 1.2**.**
If there exists a non-trivial solution in H2(Ω)×H2(Ω) to the system (1.5)-(1.7), we call the corresponding λ∈C a interior transmission eigenvalue (ITE).
Remark.
Generally, the system (1.5)-(1.7) is a non-self-adjoint problem on L2(Ω)×L2(Ω).
Thus there may exist complex ITEs.
For our settings, we can show the discreteness of the set of ITEs.
Thus the set of NSEs for (1.4) is a subset of ITEs associated with (1.5)-(1.7).
Moreover, the discreteness of NSEs is a direct consequence of that of ITEs.
For the scattering theory on M, the notions of NSE and corresponding ITE will be defined later by the similar manner.
Our aim in this paper is to show a Weyl-type lower bound for the number of NSEs.
In particular, this lower bound implies the existence of infinitely many NSEs.
The results for the existence of NSEs are very scarce as far as the authors know.
It seems to be no result except for the case where n is a spherically symmetric function (see Colton-Monk [7]).
There are some classes of inhomogeneities (for acoustic equations) or potentials (for Schrödinger operators) such that they do not have non-scattering energies (see [10], [5], [8], [21]).
On the other hand, there are many studies about ITE problems apart from NSEs.
Some results of Weyl type estimates for the number of ITEs have been given.
In particular, we adopt the argument of Lakshtanov-Vainberg [18] in Section 5.
Their study focuses on a domain in the Euclidean space.
However, their argument is based on the pseudo-differential calculus for the Dirichlet-to-Neumann map (D-N map) on the boundary.
Thus this argument is applicable for our settings, even if we do not impose further assumptions for the topology of Ωi.
We also mention Petkov-Vodev [22] which gives a sharp estimate for the number of ITEs lying in a region on the complex plane.
Recently, Shoji [25] has applied the T-coercive method (see [4]) for an ITE problem on compact manifolds.
For more general information of ITE problems, the survey by Cakoni-Haddar [6] is available.
A contribution of this paper is to apply the equivalence of the scattering data (far-field pattern A(λ)ϕ of the scattered wave) and the boundary data (the D-N map on Γ).
This fact is often used in order to reduce the inverse scattering problem to the corresponding inverse boundary value problem.
For this topic, see e.g. Isakov-Nachman [13], Isozaki [14], Isozaki-Kurylev [15], and Eskin [9].
The D-N map has a pole at each Dirichlet eigenvalues.
In the study of inverse problems, we can avoid Dirichlet eigenvalues associated with the corresponding interior Dirichlet problem.
However, we have to consider Dirichlet eigenvalues for the study of NSEs.
Hence we need to modify the proof of equivalence between A(λ) and the D-N map, and we will do it by using the Laurent expansion of the D-N map.
What we have to do is to show that an ITE λ>0 is also a NSE by using the equivalence of A(λ) and the D-N map.
Once we have achieved it, we can apply the Weyl-type estimate for ITEs to NSEs.
However, this does not hold in general.
In fact, we have to remove a kind of singular ITEs which corresponds the set of common Dirichlet eigenvalues of −n−1Δg in Ωi and −Δ in Ω0i.
1.2. Plan of the paper
In Section 2, we introduce some functional spaces which are often used in this paper.
In Section 3, the scattering theory for −n−1Δg on M is derived.
As is well-known, the scattering theory has a long history.
In fact, the standard procedure of the scattering theory of self-adjoint operators consists of the limiting absorption of the resolvent operator, the construction of the spectral representation, and the study of existence and completeness of wave operators.
In particular, our study relies on the precise asymptotic behavior at infinity of the scattered wave.
The scattered wave is described by the limiting absorption of the resolvent operator.
Our arguments are similar to Isozaki-Kurylev [15] in which the authors study manifolds with hyperbolic ends.
For the sake of completeness of this paper, we derive proofs again for the case of manifolds with a single flat end.
The definition of the scattering data A(λ) and that of the generalized ITE are also given here.
In Section 4, we consider the D-N map and the layer potential method for the Dirichlet problem.
The main purpose of this section is to prove the equivalence between the scattering data A(λ) and the D-N map.
In Section 5 and Section 6, we prove the discreteness of NSEs (Theorem 5.19) and the Weyl-type lower bound for the number of NSEs (Theorem 6.8).
For the proof of Theorem 6.8, Lemma 5.3 has a crucial role.
Our argument of this two sections is based on Lakshtanov-Vainberg [18] as mentioned above.
The construction of a parametrix of the Dirichlet problem and the analytic Fredholm theory are used for the proof of discreteness of ITEs.
The Weyl-type estimate for ITEs follows from Weyl’s law of Dirichlet eigenvalues for −n−1Δg in Ωi and −Δ in Ω0i.
Some remarks on the unique continuation property for the Helmholtz equation are gathered in the appendix.
1.3. Notation
We use the following notations.
C often denotes various constants.
For a countable set A, we denote by #A the number of elements of A.
Let x=(x1,…,xd)∈Rd.
For x′=(x1,…,xd−1)∈Rd−1, we write x=(x′,xd)∈Rd.
For a multiple index α=(α1,…,αd), we put ∣α∣=α1+⋯+αd, α!=α1!⋯αd!, and ∂xα denotes the differential operator
[TABLE]
We also use the notations
[TABLE]
where (a1,…,ad)T denotes the column vector for a1,…,ad∈C, and
[TABLE]
[TABLE]
For a (relatively) compact manifold Ω, T∗Ω denotes the cotangent bundle.
B(X;Y) denotes the space of bounded linear operators from X to Y for Banach spaces X,Y. If X=Y, we simply write B(X)=B(X;X).
2. Functional spaces
In the beginning, we introduce some functional spaces on Rd.
For s∈R, the weighted L2-spaces L2,s(Rd) are defined by the norm
[TABLE]
If s=0, L2,0(Rd)=L2(Rd) is the usual L2-space equipped with the inner product
[TABLE]
For the study of the scattering theory, we often use Agmon-Hörmander’s B-B∗ spaces ([1]).
Let r−1=0 and rj=2j for j=0,1,2,….
The Banach space B(Rd) is the totality of functions f∈Lloc2(Rd) satisfying
[TABLE]
where Ξj={x∈Rd;rj−1≤∣x∣<rj}.
Thus Riez’s theorem for functionals on Hilbert spaces and the fact (ℓ1)∗=ℓ∞ imply that the adjoint space B∗(Rd) is equipped with the norm
[TABLE]
However, the equivalent norm
[TABLE]
is more convenient for our argument.
B0∗(Rd) denotes the space of functions u∈B∗(Rd) satisfying
[TABLE]
In the following, we use the notation
[TABLE]
L2,s(Ωe), B(Ωe), B∗(Ωe), and B0∗(Ωe) are defined by the similar way.
It is well-known that the following inclusion relation holds (see [1]).
Proposition 2.1**.**
For s>1/2, we have
[TABLE]
for Rd or Ωe.
The Fourier transform on L2(Rd) is defined by
[TABLE]
For s∈R, the Sobolev spaces Hs(Rd) is defined by the norm
[TABLE]
Let us turn to manifolds.
Suppose that M is a compact or relatively compact manifold of dimension d≥2.
We take a partition of unity {φj}j=1μ on M such that the support of each φj is sufficiently small.
In particular, we can take a coordinate patch Uj⊂M such that φj∈C0∞(Uj).
For any function u on M, φju can be identified with a function on a bounded domain Vj⊂Rd.
The Sobolev spaces Hs(M) for s∈R is equipped with the norm
[TABLE]
For M defined by (1.1), we fix a point p0∈Ωi, and we define
[TABLE]
for sufficiently large ρ>0 where dist(p,p0) is the geodesic distance between p and p0.
We take χ0∈C0∞(M) such that 0≤χ0≤1, χ0=1 on Ω0(ρ), and χ0=0 on Ω∞(ρ).
We define χe=1−χ0.
Note that χeu for any function u on M can be identified with a function on Rd, extending χeu to be zero in Rd∖Ωe.
Then L2,s(M), Hs(M) for s∈R, B(M) and B∗(M) are defined by the norms
[TABLE]
[TABLE]
[TABLE]
[TABLE]
The space B0∗(M) is defined by
[TABLE]
We also need to define the Hilbert space Ln2(M) for n∈C(M) given in Section 1.
The inner product of Ln2(M) is defined by
[TABLE]
where dVg is the volume element on M associated with g.
If we replace n by the constant 1, we obtain the usual L2-space L2(M) with the measure dVg.
Lloc2(M) and Hlocs(M) denote the spaces of functions in L2 and Hs on arbitrary compact subsets in M, respectively.
Here we show a priori estimates for the equation
[TABLE]
Lemma 2.2**.**
(1) Let u,f∈B∗(M) satisfy (2.1).
Thus there exists a constant C>0 such that
[TABLE]
*for any large R>1.
(2) Suppose that u∈L2(M) and f∈Hs(M) satisfy (2.1) for some s∈R, and suppu and suppf are compact subsets.
Then we have*
[TABLE]
for a constant C>0.
Proof.
We take a function η∈C0∞(R) such that η(t)=1 for ∣t∣<1 and η(t)=0 for ∣t∣>2.
We define ηR∈C0∞(M) as follows.
Let ηR(p)=1 for any p∈K.
For any x∈Ωe, we put ηR(x)=η(∣x∣/R) with sufficiently large R>1.
Due to the integration by parts of (f,ηR2u)L2(M), it follows from the equation (2.1) that
[TABLE]
where ωx=x/∣x∣∈Sd−1.
Thus we can see
[TABLE]
for some constants C>0.
Dividing both sides by R and taking the supremum with respect to R>1 on the right-hand side, we obtain the assertion (1).
The assertion (2) is the well-known interior regularity property for elliptic partial differential equations.
For the proof, see e.g. Theorem 8.10 of [11] or Section 11 of Chapter 3 in [19].
∎
3. Scattering theory
3.1. Essential spectrum
In order to derive the scattering theory, we compare the equation (1.2) with the unperturbed problem (−Δ−λ)u=0 on Rd.
Let
[TABLE]
and
[TABLE]
for z∈C∖R.
H and H0 are self-adjoint on Ln2(M) and L2(Rd) with its domains H2(M) and H2(Rd), respectively.
By using the Fourier transform, we have
Lemma 3.1**.**
We have σ(H0)=σac(H0)=[0,∞).
Now let us state a relation between R(z) and R0(z).
We take χe∈C∞(M) such that χe=1 on Ωe∩Ω∞(ρ) and χe=0 in M∖Ω∞(ρ−1).
Lemma 3.2**.**
For z∈C∖R, the following resolvent equations hold :
[TABLE]
where V=Hχe−χeH0 and V∗ is the adjoint operator of V in Ln2(M).
Proof.
We put u=R0(z)χef for f∈L2(M).
Thus we have
We regard L2(Ωe) as a closed subspace of L2(M) by extending f∈L2(Ωe) to be [math] outside Ωe.
If A∈B(L2(Rd)), A∗(0) denotes the adjoint operator with respect to the inner product of L2(Rd).
Thus we have R(z)∗=R(z) and R0(z)∗(0)=R0(z).
Moreover, we obtain
[TABLE]
[TABLE]
Then we obtain (3.2) by taking the adjoint (R(z)χj)∗ in (3.1).
∎
Due to the resolvent equation, we can derive the essential spectrum of H.
Lemma 3.3**.**
We have σess(H)=[0,∞).
Proof.
Lemma 3.2 implies that χeR(z)−χeR0(z)χe is compact in L2(Ωe).
Then we have
[TABLE]
where A(z) is a compact operator satisfying
[TABLE]
with a constant C>0 which is independent of z.
Now we use Helffer-Sjöstrand’s formula ([12]).
For ψ∈C0∞(R), there exists an almost analytic extension Ψ(z)∈C0∞(C) of ψ such that Ψ(λ)=ψ(λ) for λ∈R and ∣∂zΨ(z)∣≤Cj∣Imz∣j for any non-negative integers j≥0.
Here ∂z=(∂/∂s+i∂/∂t)/2 letting z=s+it.
For a self-adjoint operator A, the following formula holds :
[TABLE]
Putting A=H, we consider ψ(H)−χeψ(H0)χe.
The inequality (3.4) implies that the integral of ∂zΨ(z)A(z) over C converges in the norm on B(L2(M)).
Thus ψ(H)−χeψ(H0)χe is a compact operator for any ψ∈C0∞(R).
If suppψ⊂(−∞,0), we have ψ(H0)=0 due to σ(H0)=[0,∞).
For this ψ, ψ(H) is compact, which implies σess(H)∩(−∞,0)=∅.
Since σ(H0)=[0,∞), we construct a singular sequence for H0.
Let ϕ∈C0∞(Rd) satisfy ϕ(x)=0 for ∣x∣<1 and ∣x∣>2, and ϕ(x)=1 for 5/4<∣x∣<7/4.
We put vk(x)=Ckeiλx⋅ωϕ(x/ρk) for k=1,2,…, with ω∈Sd−1, ρk→∞ and Ck=ρk−d/2∥ϕ∥L2(Rd)−1.
Thus we have ∥vk∥L2(Rd)=1, suppvk⊂{x∈Rd;∣x∣>ρk}, and ∥(H0−λ)vk∥L2(Rd)→0 as k→∞ due to
[TABLE]
We put uk=χjvk/∥χjvk∥Ln2(M)∈D(H).
Then uk satisfies ∥uk∥Ln2(M)=1, ∥(H−λ)uk∥Ln2(M)→0, and uk→0 weakly as k→∞.
Thus we obtain λ∈σess(H).
∎
3.2. Radiation condition and limiting absorption
It is well-known that the limit
[TABLE]
exists and the Sommerfeld radiation condition appears in the asymptotic behavior of R0(λ±i0)f for f∈B(Rd).
In the far-field pattern of the asymptotic behavior of R0(λ±i0)f, the restriction on the unit sphere of the Fourier transform naturally appears.
Let hλ be the Hilbert space on the sphere Sd−1 equipped with the inner product
[TABLE]
Thus we define the restriction on of Fourier transform on Sd−1 by
[TABLE]
for f∈B(Rd).
Its adjoint operator with respect to hλ is
[TABLE]
for ϕ∈hλ.
For the following lemma, see Yafaev [28], Eskin [9], or Mochizuki [20].
Lemma 3.4**.**
(1) There exists the limit R0(λ±i0):=limϵ↓0R0(λ±iϵ) in the weak ∗ sense
[TABLE]
(2) There exists a constant C>0 such that
[TABLE]
*where C is independent of λ if λ varies on an arbitrary compact interval in (0,∞).
(3) Let I be an arbitrary compact interval in (0,∞).
Then the mapping*
[TABLE]
*is continuous.
(4) R0(λ±i0)f for f∈B(Rd) satisfies the asymptotic behavior*
[TABLE]
*where θ=x/∣x∣∈Sd−1 and C±(λ)=2−1/2π1/2e∓(d−3)πi/4λ(d−3)/4.
(5) We have*
[TABLE]
*for f,g∈B(Rd).
(6) F0(λ)∈B(B(Rd);hλ) is surjection. Moreover, we have {u∈B∗(Rd);(H0−λ)u=0}=F0(λ)∗hλ.*
The assertion (4) in Lemma 3.4 leads to Sommerfeld’s radiation condition
[TABLE]
where u±=R0(λ±i0)f for f∈B(Rd), and ∂r=ωx⋅∇ with ωx=x/∣x∣∈Sd−1.
The radiation condition (3.7) guarantees the uniqueness of solution to the Helmholtz equation (H0−λ)u=f.
We call solutions u±outgoing (for +) or incoming (for −) if u± satisfies (3.7).
For the proof of the next lemma, see e.g. [28], [9] or [29].
Lemma 3.5**.**
The solution u±∈B∗(Rd) to the equation (H0−λ)u±=f∈B(Rd) satisfies the condition (3.7) if and only if u±=R0(λ±i0)f.
Let us turn to the equation
[TABLE]
for f∈B(M).
A solution u±∈B∗(M) to the equation (3.8) is outgoing (for +) or incoming (for −) if u± satisfies
[TABLE]
Lemma 3.6**.**
If a solution u±∈B∗(M) to the equation (H−λ)u±=0 with λ>0 satisfies the condition (3.9), then u±=0.
Proof.
We take η∈C0∞((0,∞)) such that η(t)≥0 for any t∈(0,∞), suppη⊂(1,2), and ∫0∞η(t)dt=1.
Then we put for large R>0
[TABLE]
Let ψR∈C0∞(M) with ψR=1 on K and ψR=φR on Ωe.
Let us show the lemma for u+.
The proof is similar for u−.
In view of the equation (H−λ)u+=0, we have
[TABLE]
By the definition, i[H,ψR]=0 on K.
On the other hand, we have
Moreover, the equalities [H,χeψR]=[H,χe]ψR+χe[H,ψR],
[TABLE]
which also comes from (H−λ)u+=0, and (3.12) imply
[TABLE]
Now we compute
[TABLE]
In view of the radiation condition (∂r−iλ)u+≃0, we can replace ∂ru+ in (3.14) by iλu+.
The second term on the right-hand side of (3.14) is estimated as follows.
If v∈B∗(M), we have v∈L2,−s(M) for any s>1/2 by Proposition 2.1.
Then we obtain
[TABLE]
for any small ϵ>0.
Tending R→∞, we can see ⟨⋅⟩−1/2v∈B0∗(M).
Letting v=u+, it follows that the second term on the right-hand side of (3.14) converges to zero as R→∞.
Then (3.13), (3.14), and the radiation condition imply
Finally, u+ satisfies (−Δ−λ)u+=0 in Ωe⊂Rd.
Then the condition u+∈B0∗(M) arrow us to apply Rellich’s uniqueness theorem ([23] and [27]), and we see that u+ vanishes at infinity.
It follows that u+ vanishes outside Ωi from the unique continuation property for the equation (−Δ−λ)u+=0 in Ωe.
Finally, Proposition I.1 implies u+=0 on M.
∎
Now we derive the limit R(λ±i0)=limϵ↓0R(λ±iϵ) in B(B(M);B∗(M)).
We take an arbitrary compact interval I⊂(0,∞).
Let
[TABLE]
Lemma 3.7**.**
(1) There exists a constant C>0 such that
[TABLE]
(2) There exists the limit R(λ±i0) in the weak ∗ sense.
Moreover, we have R(λ±i0)∈B(B(M);B∗(M)) with
[TABLE]
*for a constant C>0.
(3) For any f,g∈B(M), the mapping I∋λ↦(R(λ±i0)f,g) is continuous.
(4) For f∈B(M), R(λ±i0)f satisfies the outgoing (for +) or incoming (for −) radiation condition.*
Proof.
Let us show the assertion (1).
Suppose that the assertion (1) does not hold.
We can take a pair of sequences {fm}m=1,2,…⊂B(M) and {zm}m=1,2,…⊂J such that ∥R(zm)fm∥B∗(M)=1, ∥fm∥B(M)→0, and zm→λ+i0 for λ∈I as m→∞ without loss of generality.
We put um=R(zm)fm.
We can take a subsequence {umk}k=1,2,… such that umk weakly converges in B∗(M).
The assertion (1) of Lemma 2.2 and the inequality ∥fm∥B∗(M)≤∥fm∥B(M) imply that there exists a constant C>0 such that
[TABLE]
for any fixed R>1.
It follows from this inequality and ∥umk∥B∗(M)=1 that umk converges weakly in Hloc1(M), taking a suitable sub-subsequece of {umk}k=1,2,… if we need.
Then we can assume that umk converges to a function u in Lloc2(M), since the embedding of Hloc1 to Lloc2 is compact.
Moreover, χ0um satisfies (H−z)χ0um=gm where
[TABLE]
with a compact support.
Then we can apply the assertion (2) of Lemma 2.2 with s=0 as
[TABLE]
for a constant C>0.
The definition of gm and the inequality (3.16) imply that there exists a constant C>0 such that ∥gm∥L2(M)≤C for all m.
Thus ∥χ0um∥H2(M) is also bounded with respect to m.
In view of (3.17), the local compactness argument implies that there exists a subsequence {umk}k=1,2,… such that umk converges weakly in Hloc2(M).
Since the embedding of Hloc2 to Hloc1 is compact, umk converges to a function u in Hloc1(M).
Now we have
[TABLE]
by the resolvent equation (3.2).
Due to Lemma 3.4, χeumk converges to −χeR0(λ+i0)V∗u, since V∗ is a compact operator from Hloc2(M) to Lloc2(M).
Then u∈B∗(M) is the outgoing solution to (H−λ)u=0 on M.
Lemma 3.6 shows u=0, which contradicts ∥um∥B∗(M)=1 for all m.
Let us turn to the assertion (2).
We take a sequence zm=λ+iϵm with ϵm↓0 as m→∞.
For f∈B(M), we put um=R(zm)f.
As in the proof of the assertion (1), we take a subsequence, which is denoted by {umk}k=1,2,…, such that umk→u weakly in Hloc2(M) and strongly in Hloc1(M).
The resolvent equation (3.2) and Lemma 3.4 imply
[TABLE]
in the weak ∗ sense as k→∞.
Here we have used the fact that V∗ is a compact operator from Hloc2(M) to Lloc2(M).
We prove that the sequence {um}m=1,2,… itself converges to u=R(λ+i0)f.
Assume that there exist two subsequences {umk}k=1,2,… and {uml}l=1,2,… such that umk→u, uml→u′ in the weak ∗ sense, and u=u′.
Then u−u′ satisfies (H−λ)(u−u′)=0 on M and
[TABLE]
Thus u−u′ is outgoing and Lemma 3.6 implies u=u′.
This is a contradiction.
The assertions (3) and (4) are consequences of the resolvent equation and Lemma 3.4.
For R(λ−i0), the proof is given by the similar argument.
∎
3.3. Spectral representation and distorted Fourier transform
Once we have proven the limiting absorption principle R(λ±i0), we can derive the generalized eigenfunction of H in view of the distorted Fourier transform.
We define
[TABLE]
The resolvent equation (3.2) and the assertion (4) of Lemma 3.4 imply the following asymptotic behavior.
Lemma 3.8**.**
We have for f∈B(M)
[TABLE]
on Ωe.
Moreover, the following relation follows from Lemma 3.8.
Lemma 3.9**.**
We have
[TABLE]
for f,g∈B(M).
Moreover, we have F±(λ)∈B(B(M);hλ) with the estimate
[TABLE]
for a constant C>0.
Proof.
Let us show for F+(λ).
For F−(λ), the proof is similar.
For the proof, we compute in a way which is similar to the proof of Lemma 3.6.
We put u=R(λ+i0)f and v=R(λ+i0)g for f,g∈C0∞(M).
Thus we have
[TABLE]
In view of Lemma 3.8, the left-hand side is equal to
[TABLE]
for θx=x/∣x∣∈Sd−1.
Then we obtain
[TABLE]
For f,g∈B(M), we can take f,g∈C0∞(M) where f and g are approximated by f and g.
Thus the formula (3.21) holds for f,g∈B(M).
We have proven (3.19).
As a consequence of the assertion (2) of Lemma 3.7 and the formula (3.19), we have (3.20).
∎
Now we have arrived at the spectral representation for H.
Due to Lemmas 3.7-3.9, the following theorem is proven by the same way of the argument in Chapter 6 of [29].
We put
[TABLE]
and
[TABLE]
Theorem 3.10**.**
*(1) F± is uniquely extended to a partial isometry with initial set Hac(H) which is the absolutely continuous subspaces of H and final set H.
(2) (F±Hf)(λ)=λ(F±f)(λ) for f∈D(H).
(3) F±(λ)∗∈B(hλ;B∗(M)) is an eigenoperator of H in the sense of*
[TABLE]
Moreover, there exists a constant C>0 which depends on λ>0 such that
[TABLE]
*(4) We have F±(λ)B(M)=hλ and {u∈B∗(M);(H−λ)u=0}=F±(λ)∗hλ.
(5) For f∈Hac(H), the inversion formula*
[TABLE]
holds.
3.4. Non-scattering energy
In order to define the non-scattering energy for H, we observe the far-field pattern of the generalized eigenfunction F−(λ)∗ϕ∈B∗(M) for ϕ∈hλ.
Now we can define the non-scattering energies (NSEs) on M.
Definition 3.12**.**
If A(λ) has eigenvalue [math] on hλ, we call the corresponding λ>0 a non-scattering energy (NSE) on M.
In view of the generalized eigenfunction F−(λ)∗ϕ, NSEs appear in the sense of the asymptotic behavior of the incident wave ui and the scattered wave us where
[TABLE]
[TABLE]
Letting u=F−(λ)∗ϕ, we have u=ui+us on Ωe.
Then we have
[TABLE]
on Ωe.
For a NSE, we can reduce the problem to a generalized ITE problem as follows.
Lemma 3.13**.**
Let λ>0 be a NSE, and ϕ∈hλ satisfies A(λ)ϕ=0.
Then v=\mathcal{F}_{-}(\lambda)^{*}\phi\big{|}_{\mathcal{K}} and w=\mathcal{F}_{0}(\lambda)^{*}\phi\big{|}_{\overline{\Omega_{0}^{i}}} satisfy
[TABLE]
Proof.
By the assumption of the lemma and the asymptotic behavior (3.22), we have u−ui≃0.
Moreover, u−ui satisfies (−Δ−λ)(u−ui)=0 in Ωe.
Rellich’s uniqueness theorem and Proposition I.2 imply u−ui=0 on Ωe.
Moreover, it follows from Proposition I.4 that ∂νu=∂νui on Γ.
Thus we obtain the lemma.
∎
Remark.
In the following argument, we also call the system (3.23)-(3.25) the interior transmission eigenvalue problem (ITEP).
If there exists a non-trivial solution in H2(Ωi)×H2(Ω0i), we call the corresponding λ∈C an interior transmission eigenvalue (ITE).
Note that (v,w) in Lemma 3.13 is a special kind of solutions to (3.23)-(3.25).
4. From boundary data to scattering data
4.1. Interior D-N map
We will reduce the problem of NSEs to the ITE problem later.
In order to do this, we derive some fundamental properties of the D-N map.
We consider the Dirichlet problem
[TABLE]
for λ∈C.
If f∈H3/2(Γ), we consider solutions to (4.1) in H2(Ωi).
The D-N map is defined by
[TABLE]
where v is a solution of (4.1).
Note that the argument in this subsection is similar if we replace (4.1) and (4.2) by
[TABLE]
and
[TABLE]
In the following, we denote by σD(−n−1Δg)={λk}k=1,2,… the set of Dirichlet eigenvalues of −n−1Δg in Ωi.
Here Dirichlet eigenvalues are listed like 0<λ1≤λ2≤⋯↑∞ with each eigenvalue repeated according to its multiplicities.
We take a orthonormal system of eigenfunctions {ϕk}k=1,2,… in Ln2(Ωi).
Let Ek⊂{1,2,…} such that ∪k=1∞Ek={1,2,…}, and l1 and l2 belong to the same set Ek if and only if λl1=λl2.
On the other hand, we define L(λk) for a Dirichlet eigenvalue λk∈σD(−n−1Δg) by L(λk)=El such that k∈El.
Proposition 4.1**.**
*The D-N map Λn(λ) is meromorphic with respect to λ∈C and has first order poles at every λ∈σD(−n−1Δg).
Moreover, Λn(λ) satisfies the following representations.
(1) For x∈Γ and f∈H3/2(Γ), we have*
[TABLE]
*where dS(⋅) is the surface measure on Γ induced from dVg.
(2) In a small neighborhood of λk∈σD(−n−1Δg), we have*
[TABLE]
where QL(λk) is the residue of Λn(λ) at λ=λk given by
[TABLE]
and TL(λk)(λ)∈B(H3/2(Γ);H1/2(Γ)) is analytic in a small neighborhood of λk.
Proof.
We can follow the argument of Section 4.1.12 in [16].
Let v∈H2(Ωi) be an extension of f∈H3/2(Γ) into Ωi satisfying \widetilde{v}\big{|}_{\Gamma}=f and ∥v∥H2(Ωi)≤C∥f∥H3/2(Γ) for some constants C>0.
Then we have
[TABLE]
where v∈H2(Ωi) is a solution to the equation (4.1).
Since the operator G(λ)=(−n−1Δg−λ)−1 with the Dirichlet boundary condition is meromorphic with respect to λ∈C with first order poles at λk∈σD(−n−1Δg), v=v−G(λ)(−n−1Δg−λ)v has a pole at λk.
Thus we can compute the Fourier coefficients of v with respect to the real-valued eigenfunctions ϕk as
[TABLE]
by using the integration by parts.
From this formula and the outward normal derivative of v, we obtain (4.5).
Let us turn to (2).
The orthogonal projection Pk to the eigenspace corresponding λk∈σD(−n−1Δg) is given by
and this implies the formula of QL(λk).
Moreover,
[TABLE]
is analytic with respect to λ in a neighborhood of λk.
Putting TL(λk)(λ)f=∂ν((1−Pk)v) on Γ, we obtain this proposition.
∎
The range of QL(λk) is a finite dimensional subspace spanned by ∂νϕl for l∈L(λk).
Note that ∂νϕl for l∈L(λk) are linear independent since ϕl are orthonormal basis in Ln2(Ωi).
Hence the dimension of the range of QL(λk) coincides with the multiplicity of λk.
Now let
[TABLE]
be the eigenspace of λ∈σD(−n−1Δg) and
[TABLE]
be the subspace of L2(Γ) spanned by ∂νϕl for l∈L(λ).
For (4.3), we denote by E0(λ) and B0(λ) these subspaces for a Dirichlet eigenvalue λ of −Δ in Ω0i.
En(λ)⊥ and E0(λ)⊥ denote the orthogonal complements of En(λ) and E0(λ) in Ln2(Ωi) and L2(Ω0i), respectively.
Bn(λ)⊥ and B0(λ)⊥ denote the orthogonal complements of Bn(λ) and B0(λ) in L2(Γ), respectively.
In the following, we define the operators Dn(λ) and D0(λ) by
[TABLE]
and
[TABLE]
where σD(−Δ) is the set of Dirichlet eigenvalues of −Δ in Ω0i, and T0,L(λ)(λ) is the regular part of the Laurent expansion of Λ0(λ) at a pole.
Thus we have Dn(λ)∈B(H3/2(Γ);H1/2(Γ)) for λ∈σD(−n−1Δg), and Dn(λ)∈B(H3/2(Γ)∩Bn(λ)⊥;H1/2(Γ)) for λ∈σD(−n−1Δg).
For D0(λ), the similar properties hold.
Lemma 4.2**.**
Let λ0∈σD(−n−1Δg).
Then the equation (4.1) has a non-trivial solution if and only if f∈Bn(λ0)⊥.
Moreover, for any f∈Bn(λ0)⊥, there exists a unique solution to (4.1) in En(λ0)⊥.
Proof.
If f∈Bn(λ0)⊥, there exist general solutions of the form
[TABLE]
for any cl∈C.
If u is a non-trivial solution to (4.1), we have by Green’s formula
[TABLE]
for any ϕ∈En(λ0).
Thus we have f∈Bn(λ0)⊥.
The uniqueness of solutions in En(λ0)⊥ follows from (4.10).
∎
4.2. Layer potential method for Dirichlet problem
Next we introduce an exterior Dirichlet problem.
In order to show the equivalence between A(λ) and Λn(λ), the solution of the exterior Dirichlet problem is written in view of a layer potential method.
Let He=−Δ in Ωe with homogeneous Dirichlet boundary condition on Γ.
For the beginning, let us derive the following resolvent equations for Re(z)=(He−z)−1, z∈[0,∞).
Lemma 4.3**.**
We have
[TABLE]
for z∈C∖[0,∞).
Proof.
The proof is parallel to that of Lemma 3.2.
∎
Then the following limiting absorption principle is proven by the similar way of R(λ±i0).
Lemma 4.4**.**
For λ>0, there exists the limit Re(λ±i0):=limϵ↓0Re(λ±iϵ)∈B(B(Ωe);B∗(Ωe)) in the weak ∗ sense.
For any compact interval I⊂(0,∞), there exists a constant C>0 such that
[TABLE]
for f∈B(Ωe) where λ varies on I.
The mapping I∋λ↦(Re(λ±i0)f,g) for f,g∈B(Ωe) is continuous.
Re(λ±i0)f satisfies Sommerfeld’s radiation condition.
Now we consider the equation
[TABLE]
for λ>0, where u±e∈B(Ωe) satisfies the radiation condition
[TABLE]
Letting
[TABLE]
we define the operator Λ±e(λ)∈B(H3/2(Γ);H1/2(Γ)) by
[TABLE]
Note that u±e exists for f∈H3/2(Γ) as follows.
We can extend f∈H3/2(Γ) to f∈H2(Ωe) such that the trace to Γ of f coincides with f, and f has a compact support.
Then u±e is given by
[TABLE]
Let us define the operators
[TABLE]
by
[TABLE]
where δ∗ and δ0∗ are trace operators to Γ, respectively.
Since R(λ±i0)f∈Hloc2(M) for f∈B(M) and R0(λ±i0)f∈Hloc2(Rd) for f∈B(Rd), the mappings
[TABLE]
define bounded linear functionals.
Thus we define the operators R(λ±i0)δ and R0(λ±i0)δ0 by
[TABLE]
for g∈B(M) and g∈B(Rd).
Due to
[TABLE]
we have
[TABLE]
for f∈L2(Γ).
Lemma 4.5**.**
Let u±=R(λ±i0)δf for f∈L2(Γ).
Then we have
[TABLE]
on Γ.
For R0(λ±i0)δ0f for f∈L2(Γ), the similar jump relation holds on Γ.
Proof.
Let us prove for u±.
Note that u± satisfies the equation (H−λ)u±=δf on M.
In particular, we have (−n−1Δg−λ)u±=0 in M∖Γ.
Thus we have
[TABLE]
for any v∈C0∞(M).
Since we have u±∈Hloc3/2(M)∩C∞(M∖Γ), u± satisfies limy→x,y∈Ωiu±(y)=limy→x,y∈Ωeu±(y) for any x∈Γ in view of Lemma I.3.
Then we can see
[TABLE]
by using Green’s formula.
Comparing the right-hand side, we obtain
[TABLE]
for any v∈C0∞(M).
We have proven the lemma.
∎
Remark.
The operator R0(λ±i0)δ0 is the classical single layer potential on the Euclidean space.
The jump relation given by Lemma 4.5 is well-known for R0(λ±i0)δ0, and it is proven by some estimates on Γ of the Green function of −Δ−λ.
Now we put
[TABLE]
where χi and χe are characteristic functions of Ωi and Ωe, respectively, and ui∈H2(Ωi) and u±e∈B∗(Ωe) are unique solutions to (4.1) and (4.13)-(4.14), respectively.
Note that we assume ui∈H2(Ωi)∩En(λ)⊥ when λ∈σD(−n−1Δg), in view of Lemma 4.2.
Similarly, we put
[TABLE]
where χ0i is the characteristic function of Ω0i, and u0i∈H2(Ω0i) is the unique solution to (4.3).
Lemma 4.6**.**
Let v± be given by (4.16).
Then v± is represented by
[TABLE]
for f∈H3/2(Γ) when λ∈σD(−n−1Δg) or f∈H3/2(Γ)∩Bn(λ)⊥ when λ∈σD(−n−1Δg).
Moreover, we have
[TABLE]
for f,g∈H3/2(Γ) when λ∈σD(−n−1Δg) or f,g∈H3/2(Γ)∩Bn(λ)⊥ when λ∈σD(−n−1Δg).
Similarly, v0,± given by (4.17) is represented by
[TABLE]
for f∈H3/2(Γ) when λ∈σD(−Δ) or f∈H3/2(Γ)∩B0(λ)⊥ when λ∈σD(−Δ).
The operator D0(λ) is symmetric on L2(Γ).
Proof.
We shall show (4.18) for v±.
Take an arbitrary function g∈B(M) and put w±=R(λ±i0)g.
Let Bρ for large ρ>0 be the subset
[TABLE]
where Bρe={x∈Ωe;∣x∣<ρ}.
By the integration by parts, we have
[TABLE]
where Sρ={x∈Ωe;∣x∣=ρ} and dSρ is the measure on Sρ induced from the Euclidean measure.
In view of v±∈B∗(M) and g∈B(M), both sides of (4.20) converge as ρ→∞.
Due to Sommerfeld’s radiation condition, we have
[TABLE]
on Ωe for some constants a>0.
Thus we obtain
[TABLE]
and this implies
[TABLE]
Thus the second term on the right-hand side of (4.20) converges to zero as ρ→∞, and we have
[TABLE]
The definition of R(λ±i0)δ implies the formula (4.18), according to Lemma 4.2.
Let us turn to the symmetry of Λ±e(λ) on L2(Γ).
We consider the outgoing solution v+ and the incoming solution w− of (4.13) with Dirichlet boundary conditions f,g∈H3/2(Γ), respectively.
Note that we take f,g∈H3/2(Γ)∩Bn(λ)⊥ when λ∈σD(−n−1Δg).
By the integration by parts, we obtain
[TABLE]
Tending ρ→∞, we have
[TABLE]
For Dn(λ), the proof is similar.
∎
Let us introduce an operator which is equivalent to Λn(λ).
We define the operator M±(λ) and M0,±(λ) by
[TABLE]
[TABLE]
for f∈H1/2(Γ).
Lemma 4.7**.**
*(1) M±(λ) is one to one on H1/2(Γ) for λ∈σD(−n−1Δg).
If λ∈σD(−n−1Δg), we have KerM±(λ)⊂H1/2(Γ)∩Bn(λ).
(2) M0,±(λ) is one to one on H1/2(Γ) for λ∈σD(−Δ).
If λ∈σD(−Δ), we have KerM0,±(λ)⊂H1/2(Γ)∩B0(λ).*
Proof.
We shall show the assertion (1).
For (2), we can show by the similar way.
Suppose that M±(λ)f=0 for λ∈σD(−n−1Δg).
Then u±=R(λ±i0)δf satisfies
[TABLE]
with the condition u±=0 on Γ.
In view of λ∈σD(−n−1Δg), we have u±=0 in Ωi.
Since u± is outgoing (for +) or incoming (for −), we can see u±=0 in Ωe by using the same argument of Lemma 3.6.
The continuity of u± implies u±=0 on M.
In particular, we have f=0 in view of Lemma 4.5.
Let us turn to the case λ∈σD(−n−1Δg).
If M±(λ)f=0, we can see that u_{\pm}\big{|}_{\overline{\Omega^{i}}} is a Dirichlet eigenfunction and u±=0 in Ωe as above.
Thus we have ∂νu±∈Bn(λ) and ∂νeu±=0.
Then Lemma 4.5 implies f=∂νu±−∂νeu±=∂νu±∈Bn(λ).
∎
As a corollary, the equivalence between M±(λ) and Dn(λ) (or M0,±(λ) and D0(λ)) is given for λ∈σD(−n−1Δg) (or λ∈σD(−Δ)).
If λ is a Dirichlet eigenvalue, M±(λ) (or M0,±(λ)) may have a non-trivial kernel.
However, we can show that M±(λ) and M0,±(λ) have its inverses on a suitable subspaces of L2(Γ) as follows.
Corollary 4.8**.**
*(1) Dn(λ)−Λ±e(λ) is an isomorphism from H3/2(Γ) to H1/2(Γ) and we have M±(λ)=(Dn(λ)−Λ±e(λ))−1 when λ∈σD(−n−1Δg).
If λ∈σD(−n−1Δg), we put Dn(λ)=Dn(λ)−Λ±e(λ) on H3/2(Γ)∩Bn(λ)⊥.
Then Dn(λ) is an isomorphism from H3/2(Γ)∩Bn(λ)⊥ to RanDn(λ), and M_{\pm}(\lambda)\big{|}_{\mathrm{Ran}\widetilde{D}_{n}(\lambda)}=\widetilde{D}_{n}(\lambda)^{-1} on RanDn(λ).
(2) D0(λ)−Λ±e(λ) and M0,±(λ) have the similar properties.*
on H3/2(Γ) for λ∈σD(−n−1Δg), or on H3/2(Γ)∩Bn(λ)⊥ for λ∈σD(−n−1Δg).
When λ∈σD(−n−1Δg), this equality and Lemma 4.7 imply that M±(λ) is one to one on H1/2(Γ) and onto H3/2(Γ).
In particular, M±(λ):H1/2(Γ)→H3/2(Γ) is an isomorphism.
Suppose λ∈σD(−n−1Δg).
The equality (4.21) shows f=0 if Dn(λ)f∈KerM±(λ).
Thus M±(λ) is one to one on RanDn(λ) and onto H3/2(Γ)∩Bn(λ)⊥.
In particular, M_{\pm}(\lambda)\big{|}_{\mathrm{Ran}\widetilde{D}_{n}(\lambda)}:\mathrm{Ran}\widetilde{D}_{n}(\lambda)\to H^{3/2}(\Gamma)\cap B_{n}(\lambda)^{\perp} is an isomorphism.
We have proven the assertion (1).
The proof is the assertion (2) is similar.
∎
4.3. From boundary data to scattering data
At the end of this section, we prove that the D-N map Λn(λ) and the operator A(λ) determine each other.
In order to do this, we will consider the asymptotic behavior of the outgoing solution of a Helmholtz type equation on M by using layer potential methods introduced in the previous subsection.
We define the distorted Fourier transform associated with He by
[TABLE]
Then we have F±e(λ)∈B(B(Ωe);hλ).
F±e(λ) depends on the shape of Ωe.
However, it is independent of n.
Lemma 4.9**.**
For any ϕ∈hλ, we have F−e(λ)∗ϕ∈B∗(Ωe).
Moreover, F−e(λ)∗ϕ satisfies
[TABLE]
F−e(λ)∗ϕ−χeF0(λ)∗ϕ* is outgoing and satisfies the asymptotic behavior*
[TABLE]
on Ωe where Ae(λ)=F+e(λ)(Heχe−χeH0)F0(λ)∗.
Proof.
In view of definition of χe in Section 2, recall χe=0 in a neighborhood of Γ.
Since R_{e}(\lambda\pm i0)g\big{|}_{\Gamma}=0 for any g∈B(Ωe), we have \mathcal{F}_{-}^{e}(\lambda)^{*}\phi\big{|}_{\Gamma}=0.
The equation (−Δ−λ)F−e(λ)∗ϕ=0 in Ωe follows from the definition of F−e(λ)∗.
The asymptotic behavior is a direct consequence of
We need one more operator associated with the exterior Dirichlet problem.
Let G±(λ)∈B(H3/2(Γ);hλ) be defined by
[TABLE]
where u±e is the outgoing (for +) or incoming (for −) solution to (4.13)-(4.14).
By the definition, G±(λ) depends on the shape of Ωe and is independent of n.
Lemma 4.10**.**
For any f∈H3/2(Γ), we have
[TABLE]
on Ωe.
Moreover, we have
[TABLE]
for f∈H3/2(Γ) and λ∈σD(−n−1Δg), or for f∈H3/2(Γ)∩Bn(λ)⊥ and λ∈σD(−n−1Δg).
If we replace −n−1Δg by −Δ, we also have
[TABLE]
for f∈H3/2(Γ) and λ∈σD(−Δ), or for f∈H3/2(Γ)∩B0(λ)⊥ and λ∈σD(−Δ).
Proof.
We put
[TABLE]
Then we have
[TABLE]
on Ωe.
The asymptotic behavior of u±e follows from the definition (4.23).
In Ωe, u±e satisfies the formula (4.18).
Thus we have
[TABLE]
on Ωe for f∈H3/2(Γ) when λ∈σD(−n−1Δg) or f∈H3/2(Γ)∩Bn(λ)⊥ when λ∈σD(−n−1Δg).
Comparing these two asymptotic behaviors of u±e, we obtain G±(λ)f=F±(λ)δ(Dn(λ)−Λ±e(λ))f.
We also have G±(λ)f=F0(λ)δ0(D0(λ)−Λ±e(λ))f by the same way.
∎
Lemma 4.11**.**
*(1) G±(λ) is one to one on H3/2(Γ).
(2) The range of G±(λ)∗ is dense in L2(Γ).*
Proof.
Suppose G±(λ)f=0 for some f∈H3/2(Γ).
In view of Lemma 4.10, we have u±e∈B0∗(Ωe).
Rellich’s uniqueness theorem and the unique continuation property imply u±e=0 in Ωe.
Then f=0.
Next suppose (G±(λ)∗ϕ,g)L2(Γ)=0 for any ϕ∈hλ.
The assertion (1) implies g=0.
Then we obtain the denseness of RanG±(λ)∗ in L2(Γ).
∎
Now we have arrived at the crucial result.
The equivalence of the D-N map Dn(λ) and the operator A(λ) is given by the following theorem.
Theorem 4.12**.**
We have
[TABLE]
for any λ∈(0,∞).
In particular, Dn(λ) and A(λ) determine each other.
Similarly, we also have
[TABLE]
Proof.
We put
[TABLE]
for ϕ∈hλ where χe is the characteristic function of Ωe.
At the beginning of the proof, we note δ∗F−(λ)∗ϕ∈Bn(λ)⊥ if λ∈σD(−n−1Δg).
In fact, we have
[TABLE]
for any v∈En(λ) by using Green’s formula.
Now we consider the asymptotic behavior of u on Ωe.
Note that u satisfies
on Ωe, due to Lemmas 3.8 and 4.9.
On the other hand, the representation (4.25) implies
[TABLE]
on Ωe in view of Lemma 3.8.
Inserting M+(λ)(Dn(λ)−Λ+e(λ))=1, we have
[TABLE]
Plugging (4.26)-(4.28), the uniqueness of the outgoing solution implies
[TABLE]
Since G+(λ) is one to one on H3/2(Γ) and the range of G−(λ)∗ is dense in L2(Γ), M+(λ) and A(λ) determine each other.
Thus Corollary 4.8 shows this theorem.
∎
For our study on NSEs, we use Theorem 4.12 in view of the following formula.
Corollary 4.13**.**
We have
[TABLE]
for any λ∈(0,∞).
5. Discreteness of NSEs
In Section 5 and Section 6, we prove the main theorem.
The number of NSEs is related with that of positive ITEs associated with the ITEP (3.23)-(3.25) in (α,∞) for a sufficiently small constant α>0.
However, we need to remove a kind of ITEs which appear as common Dirichlet eigenvalues of −n−1Δg and −Δ.
Here we also introduce this kind of singular ITEs.
5.1. Non-singular ITE
In order to study ITEs, we consider the kernel of the D-N map.
As has been in the Proposition 4.1, the operator Λn(λ)−Λ0(λ) has a pole at λ∈σD(−n−1Δg)∪σD(−Δ).
Precisely, we have
[TABLE]
with the residue Qλ0 and the analytic part Tλ0(λ) where λ varies in a small neighborhood of λ0∈σD(−n−1Δg)∪σD(−Δ).
If λ0∈σD(−n−1Δg)∩σD(−Δ), the residue Qλ0 is the difference of the residues QL(λ0) of Λn(λ) and Q0,L(λ0) of Λ0(λ).
In the following, we define the kernel of Λn(λ)−Λ0(λ) by
[TABLE]
Lemma 5.1**.**
*(1) Suppose λ∈σD(−n−1Δg)∩σD(−Δ).
Then λ is an ITE if and only if dimKer(Λn(λ)−Λ0(λ))≥1.
The multiplicity of λ coincides with dimKer(Λn(λ)−Λ0(λ)).
(2) Suppose λ∈σD(−n−1Δg)∩σD(−Δ).
Then λ is an ITE if and only if dimKer(Λn(λ)−Λ0(λ))≥1 or the ranges of QL(λ) and Q0,L(λ) have a non-trivial intersection.
The multiplicity of λ coincides with the sum of dimKer(Λn(λ)−Λ0(λ)) and the dimension of the intersection of ranges of the residues.*
Proof.
The assertion (1) is obvious in view of the definition of ITEs.
For the assertion (2), let λ∈σD(−n−1Δg)∩σD(−Δ) be an ITE.
Suppose that (v,w)∈H2(Ωi)×H2(Ω0i) is a solution to (3.23)-(3.25) associated with λ.
When v=w=0 on Γ, v and w are not Dirichlet eigenfunctions.
Thus we have v\big{|}_{\Gamma}=w\big{|}_{\Gamma}\in\mathrm{Ker}(\Lambda_{n}(\lambda)-\Lambda_{0}(\lambda)).
If v=w=0 on Γ, v and w are Dirichlet eigenfunctions of −n−1Δg and −Δ with a common Neumann boundary value, respectively.
This implies that the ranges of QL(λ) and Q0,L(λ) have a non-trivial intersection.
It is easy to show the converse.
∎
Now we define the notion of singular ITEs as follows.
Definition 5.2**.**
If λ∈(0,∞) is an ITE satisfying the latter condition of the assertion (2) in Lemma 5.1, we call λ a singular ITE.
For a singular ITE, the corresponding solution (v,w)∈H2(Ωi)×H2(Ω0i) is a pair of Dirichlet eigenfunctions of −n−1Δg and −Δ.
Therefore, the corresponding solution to (3.23)-(3.25) can not be extended to Ωe as a scattered wave.
Lemma 5.3**.**
If λ∈(0,∞) is a non-singular ITE associated with the ITEP (3.23)-(3.25), λ is a NSE on M.
Proof.
Recall Corollary 4.13.
Since G+(λ) is one to one on H3/2(Γ), we have (M+(λ)−M0,+(λ))G−(λ)∗ϕ=0 if and only if A(λ)ϕ=0 for some ϕ∈hλ.
Now let λ∈(0,∞) be a non-singular ITE associated with the ITEP (3.23)-(3.25).
Then there exists f∈Ker(Dn(λ)−D0(λ)) which is not identically zero on Γ.
Let g=(D0(λ)−Λ+e(λ))f.
Then we have
[TABLE]
from Corollary 4.8.
Since Ker(Dn(λ)−D0(λ)) is a subspace of L2(Γ) with a positive dimension, there exists ϕ∈hλ, ϕ=0, such that G−(λ)∗ϕ∈(D0(λ)−Λ+e(λ))Ker(Dn(λ)−D0(λ)) due to Lemma 4.11.
Thus we have A(λ)ϕ=0 so that λ is a NSE.
∎
5.2. Parametrix of Dirichlet problem
According to Lemma 5.3, we consider the kernel of the D-N map.
We deal with the D-N map as a pseudo-differential operator as in [26] and [18].
Now let us compute the symbol of the D-N map.
We consider
[TABLE]
where f∈H3/2(Γ).
If we replace −Δg−λn by −Δ−λ on Ω0i, the following argument is similar.
We construct a parametrix associated with the equation (5.1).
In order to derive the principal symbol of Λn(λ), we need to compute the parametrix near the boundary Γ.
Let {χj} be a partition of unity on Γ such that the support of each χj is sufficiently small.
We can take a coordinate patch {Vj} on Γ such that χj∈C0∞(Vj).
Thus let Uj be a small open subset in Ωi such that Uj∩Γ coincides with Vj.
We can take an open set Uj⊂Rd which is diffeomorphic to Uj.
Without loss of generality, we can assume that there exists a constant ϵ0>0 such that Uj={y∈Rd;∣y∣<ϵ0,yd>0}, the boundary Vj is identified with the set Vj={y∈Rd;∣y∣<ϵ0,yd=0}, and gkl(y) satisfies gkd(y′,0)=gdk(y′,0)=0 and gdd(y′,0)=1 for any (y′,0)∈Vj and all k=1,…,d−1, by using a suitable change of variables.
In particular, we have T∗Uj=Uj×Rd, and y∈Uj is a local coordinate of Uj.
In the following, we identify Uj and Vj with Uj and Vj, respectively.
Let ψj∈C∞(Ωi) be an extension of χj into Ωi with small support.
We take φj∈C∞(Ωi) such that φj=1 on suppψj and suppφj⊂Uj.
In local coordinates, the operator −Δg−λn is represented by
[TABLE]
where hk(y) is a smooth coefficient.
However, it is convenient to divide both sides of (5.1) by gdd(y) and to consider the operator
if suppf⊂Vj.
Moreover, A is the differential operator given by
[TABLE]
where the symbol a(y,ξ,λ)∈S1,02(T∗Ωi) with the parameter λ∈C is of the form
[TABLE]
Here S1,0m(T∗Ωi) denotes the standard Hörmander class on T∗Ωi.
If we can construct an approximate solution uN with sufficiently large N>0 to (5.4) such that a(y,D,λ)uN∈Hγ+N(Uj) and \widetilde{u}_{N}\big{|}_{V_{j}}-f\in H^{-1/2+\gamma+N}(V_{j}) for some constants γ∈R, the function wN=u−uN where u∈H2(Uj) is the solution to (5.4) satisfies
[TABLE]
Since we also have (1−φj)AψjwN=0, we obtain
[TABLE]
By using the bootstrap argument, we can improve the regularity of wN by wN∈H2+γ+N(Uj).
In particular, we can see ∂νwN∈H1/2+γ+N(Vj).
Thus the principal symbol of Λn(λ) can be computed by ∂νuN with sufficiently large N>0.
Therefore, we construct the approximate solution uN by using a pseudo-differential calculus as follows.
Definition 5.4**.**
(1) Let Ω be a smooth manifold.
A function f(y,ξ)∈C∞(T∗Ω) is homogeneous of degree s∈R if f satisfies
[TABLE]
for any t>0.
If f∈C∞(T∗Ω) is homogeneous of degree s, we denote by f∈Shoms(T∗Ω).
(2) A function f(yd,ξ′)∈C∞(R×Rd−1) is homogeneous of degree s∈R if f satisfies
[TABLE]
for any t>0, and we denote by f∈Shoms(R×Rd−1).
Lemma 5.5**.**
If f∈Shoms(T∗Ω), we have
[TABLE]
for j=1,…,d.
Proof.
We have
[TABLE]
where ej is the j-th unit vector on the Euclidean space.
For ∂f/∂ξj, the proof is similar.
∎
The symbol of the operator a(y,Dy,λ) can be written by a sum of terms which are homogeneous polynomials up to a remainder term as follows.
Lemma 5.6**.**
Take z=(z′,0)∈Vj arbitrarily and fix it.
For any large N>0, we have
[TABLE]
where
[TABLE]
with respect to (y,ξ), and aN′(z;y′−z′,yd,ξ′,ξd,λ) is the remainder term which has zero of order N+1 at y=z.
In particular, we have
[TABLE]
[TABLE]
[TABLE]
for 2≤m≤N.
Proof.
This lemma is directly computed from the application of Taylor’s theorem to coefficients akl, bk, and c.
Note that we have used the assumption (5.3).
∎
We define the differential operators A=∑m=0NAm+AN′ by
[TABLE]
for 2≤m≤N where ρ(z;ξ′)=(∑k,l=1d−1gkl(z)ξkξl)1/2, and
[TABLE]
We consider a function E of the form E(z;yd,ξ′)=∑m=0NEm(z;yd,ξ′).
Then we have
[TABLE]
If E is a solution to the system of differential equations
[TABLE]
for 2≤m≤N, with the boundary condition E0(z;0,ξ′)=1 and Em(z;0,ξ′)=0 for m=0,
then AE satisfies
[TABLE]
Lemma 5.7**.**
Suppose ρ(z;ξ′)=0.
The system (5.9)-(5.11) with the condition E0(z;0,ξ′)=1, Em(z;0,ξ′)=0 for m=0, and limyd→∞Em(z;yd,ξ′)=0 for all m=0,1,2,…, has a unique solution.
Moreover, we have Em∈Shom−m(R×Rd−1) in (yd,ξ′) for every m=0,1,2,….
(For m≥2, Em depends on λ. We omit λ in the notation.)
Proof.
Obviously, we have E0(z;yd,ξ′)=e−ρ(z;ξ′)yd∈Shom0(R×Rd−1).
Let us consider the equation
[TABLE]
where p(yd,ξ′)→0 rapidly as yd→∞.
We assume p∈Shoms(R×Rd−1) for some s∈R.
By using the Fourier-sine transform, we have
[TABLE]
where
[TABLE]
Note that p(tξ′,ξd)=ts−1p(ξ′,t−1ξd) for any t>0.
Then we have
[TABLE]
where we have used the change of variable tη=ξd.
Thus we see v∈Shoms−2(R×Rd−1) when p∈Shoms(R×Rd−1).
We consider
[TABLE]
Suppose Ek∈Shom−k(R×Rd−1) for k=0,1,…,m−1.
For any functions in Shoms(R×Rd−1), the same property of Lemma 5.5 holds.
Since ak∈Shom2−k(T∗Uj), we have AkEm−k∈Shom2−m(R×Rd−1) for k=0,1,…,m−1.
Then we have pm∈Shom2−m(R×Rd−1), and we obtain Em∈Shom−m(R×Rd−1).
∎
Let β(ξ′)∈C∞(Rd−1) such that β(ξ′)=0 in a small neighborhood of ξ′=0 and β(ξ′)=1 for large ∣ξ′∣.
For f∈H3/2(Vj) with a small support, we define
[TABLE]
and put
[TABLE]
Letting
[TABLE]
[TABLE]
we have
[TABLE]
[TABLE]
In view of Lemma 5.6, a(y,Dy,λ) has the representation
[TABLE]
Thus it follows that
[TABLE]
Lemma 5.8**.**
For f∈H3/2(Vj) with small support and sufficiently large N>0, we have a(y,Dy,λ)RNf∈Hs(Uj) with s<N−d/2+5/2, and R_{N}f\big{|}_{y_{d}=0}-f\in C^{\infty}(\widetilde{V}_{j}).
Proof.
In view of (5.14), we consider akql with k+l=j, or aN′rN.
In fact, we have
[TABLE]
Moreover, we see AkβEl=[Ak,β]El+βAkEl.
If k+l=j≤N, we have AkβEl=[Ak,β]El which implies akql∈C∞(UJ).
If k+l=j≥N+1, we have AkEl∈Shom2−j(R×Rd−1) due to Lemma 5.5.
In particular, it follows
[TABLE]
Thus we have
[TABLE]
for some constants Ck,l>0.
This estimate implies akqk∈Hs(Uj) for any s<j−d/2+3/2.
We also have aN′rN∈Hs(Uj) for any s<N−d/2+5/2 by the similar way.
This means a(y,Dy,λ)RNf∈Hs(Uj) with s<N−d/2+5/2 for large N>0.
Let us turn to the boundary condition.
In fact, we have
[TABLE]
as yd→0.
Then we obtain R_{N}f\big{|}_{y_{d}=0}-f\in C^{\infty}(\widetilde{V}_{j}).
∎
Now we have arrived at the symbol of Λn(λ) as follows.
Lemma 5.9**.**
The full symbol of Λn(λ) is formally given by
[TABLE]
(If λ is a pole of Λn(λ), this formula gives the full symbol of the analytic part of Λn(λ) in view of the Laurent expansion.)
5.3. Parameter dependent parametrix of Dirichlet problem
We also use the theory of parameter-dependent elliptic operators.
We consider an expansion of the differential operator A by the similar way which has been given in the previous subsection.
Here we change the definition of homogeneous functions as follows.
Definition 5.10**.**
We put κ=λ for λ∈C∖{0}.
In the following, κ acts as a parameter.
(1) Let Ω be a smooth manifold.
A function f(y,ξ,κ)∈C∞(T∗Ω) is homogeneous of degree s∈R with parameter κ if f satisfies
[TABLE]
for any t>0.
If f∈C∞(T∗Ω) satisfies this condition, we denote by f∈Shom,κs(T∗Ω).
(2) A function f(yd,ξ′,κ)∈C∞(R×Rd−1) is homogeneous of degree s∈R with parameter κ if f satisfies
[TABLE]
for any t>0, and we denote by f∈Shom,κs(R×Rd−1).
The symbol a(y,ξ,λ) is expanded as a sum of terms in Shom,κs(R×Rd−1).
The proof is same as Lemma 5.6.
Lemma 5.11**.**
Take z=(z′,0)∈Vj arbitrarily and fix it.
For any large N>0, we have
[TABLE]
where
[TABLE]
for 1≤m≤N, and aN′(z;y′−z′,yd,ξ′,ξd,κ) is the remainder term which has zero of order N+1 at y=z.
In particular, we have
[TABLE]
[TABLE]
for 1≤m≤N.
We define the differential operators A=∑m=0NAm by
[TABLE]
for 1≤m≤N, and
[TABLE]
Then we put E(z;yd,ξ′,κ)=∑m=0NEm(z;yd,ξ′,κ) such that
[TABLE]
for 1≤m≤N, with the boundary condition E0(z;0,ξ′,κ)=1, Em(z;0,ξ′,κ)=0 for m=0, and limyd→∞Em(z;yd,ξ′,κ)=0 for any m.
Then
[TABLE]
for f∈H3/2(Vj) is also a parametrix in the sense of Lemma 5.8.
Thus we obtain another representation of the symbol of Λn(λ) by the same argument of the previous subsection.
Lemma 5.12**.**
The full symbol of Λn(λ) is formally given by
[TABLE]
(If λ is a pole of Λn(λ), this formula gives the full symbol of the analytic part of Λn(λ) in view of the Laurent expansion.)
5.4. Discreteness of ITE and NSE
For the proof of discreteness of ITEs i.e. that of NSEs, we apply the analytic Fredholm theory to the operator Λn(λ)−Λ0(λ).
To begin with, we compute the principal symbol of Λn(λ)−Λ0(λ).
Lemma 5.13**.**
If λ∈C∖{0} is not a pole of Λn(λ)−Λ0(λ), the principal symbol of Λn(λ)−Λ0(λ) is given by
[TABLE]
When λ is a pole of Λn(λ)−Λ0(λ), this formula is the principal symbol of the analytic part of Λn(λ)−Λ0(λ) in view of the Laurent expansion.
Proof.
Let A0,m and E0,m for m=0,1,…,N be differential operators defined by (5.8) and the solution to (5.9)-(5.11) with n=1, respectively.
Note that Am=A0,m for m=0,1,2, by the assumption for n and the metric g on Γ.
We have
[TABLE]
Then we have Em=E0,m for m=0,1,2, and
[TABLE]
In fact, the solution to this equation is
[TABLE]
Since the principal symbol of Λn(λ)−Λ0(λ) in the y-coordinates is given by
Since we have assumed ∂νn(p)=0 for all p∈Γ, Lemma 5.13 implies that Λn(λ)−Λ0(λ) is an elliptic pseudo-differential operator of order −2.
In particular, we obtain the following lemma.
Lemma 5.14**.**
*(1) If λ∈C∖{0} is not a pole of Λn(λ)−Λ0(λ), then Λn(λ)−Λ0(λ) is Fredholm.
(2) If λ∈C∖{0} is a pole of Λn(λ)−Λ0(λ), then the analytic part of Λn(λ)−Λ0(λ) is Fredholm.*
In the following, we simply call Λn(λ)−Λ0(λ) Fredholm for λ∈C∖{0} in the sense of Lemma 5.14.
Next let us turn to an application of the theory of parameter-dependent pseudo-differential operators to Λn(λ)−Λ0(λ).
Definition 5.15**.**
Let Ω be a (relatively) compact smooth manifold of dimension d′.
We put ⟨ξ,τ⟩=(∣ξ∣2+τ2+1)1/2 for ξ∈Rd′ and τ∈R.
(1) A function p(x,ξ,τ)∈C∞(T∗Ω×R+) with R+=[0,∞) is a uniformly estimated polyhomogeneous symbol of ordersand regularityr if p satisfies
[TABLE]
on T∗Ω×R+ for some constants Cαβj>0, and p has the asymptotic expansion
[TABLE]
where ps−m satisfies ps−m(x,tξ,tτ)=ts−mps−m(x,ξ,τ) for any t>0.
(2) Suppose that a pseudo-differential operator P(τ) on Ω with parameter τ∈R+ has a symbol which satisfies (5.20) and (5.21).
The operator P(τ) is said to be uniformly parameter elliptic if the principal symbol does not vanish when ∣ξ∣+τ=0.
For λ∈C∖R+, we put λ=τeiθ with τ>0 and θ∈R such that θ=0 modulo π.
We put
[TABLE]
for a fixed θ.
Lemma 5.16**.**
The operator L(τ) is a uniformly parameter elliptic of order −2 and regularity ∞.
Its principal symbol is
[TABLE]
Proof.
Let A0,m and E0,m for m=0,1,…,N be differential operators defined by (5.17) and the solution to the equation (5.18)-(5.19) with n=1, respectively.
By the assumption for n and the mertic g on Γ, we have A0=A0,0 and A1=A0,1.
Then we have
[TABLE]
and
[TABLE]
Precisely, we obtain
[TABLE]
Since the principal symbol of Λn(λ)−Λ0(λ) in the y-coordinates is given by
[TABLE]
by Lemma 5.12, we obtain the lemma according to λ=τ2e2iθ.
∎
Lemmas 5.14 and 5.16 allow us to apply the analytic Fredholm theory for the proof of discreteness of ITEs.
Here we adopt the theory of Blekher [3].
Let H1 and H2 be Hilbert spaces.
We take a connected open domain D⊂C.
A B(H1;H2)-valued function A(z) in D is finitely meromorphic if the principal part of the Laurent series at each pole of A(z) is a finite rank operator.
Then the following theorem holds.
See Theorem 1 in [3].
Theorem 5.17**.**
Suppose A(z) is finitely meromorphic in D and Fredholm for every z∈D.
If there exists its bounded inverse A(z0)−1 at a point z0∈D, then A(z)−1 is finitely meromorphic in D and Fredholm for every z∈D.
In view of Lemma Lemma 5.14, we can apply Theorem 5.17 to Λn(λ)−Λ0(λ) for λ∈C∖{0}.
If Λn(λ)−Λ0(λ) is invertible at a point λ∈C∖{0}, we can see that (Λn(λ)−Λ0(λ))−1 is finitely meromorphic in C∖{0} and Fredholm for every λ∈C∖{0}.
This implies that the set of λ∈C∖{0} such that Ker(Λn(λ)−Λ0(λ)) is non-trivial is a discrete subset.
In fact, there exists a bounded inverse of Λn(λ)−Λ0(λ) in the following sense.
Let Hs,t(Γ) for s∈R and t≥1 be the Sobolev space with the norm
[TABLE]
Then the existence of (Λn(λ)−Λ0(λ))−1 is a direct consequence of Theorem 4.4.6 of [2].
Lemma 5.18**.**
For sufficiently large τ>0, there exists the bounded inverse L(τ)−1∈B(Hs,τ(Γ);Hs−2,τ(Γ)) for any s∈R.
Therefore, we have arrived at the result of discreteness of ITEs.
Theorem 5.19**.**
Taking arbitrary small ϵ0>0, we define the domain
[TABLE]
The set of ITEs is a discrete subset of C with the only possible accumulation points at [math] and infinity.
There exist at most finitely many ITEs in De.
In particular, the set of NSEs is a discrete subset of (0,∞) with the only possible accumulation points at [math] and infinity.
Proof.
The discreteness of ITEs follows from Theorem 5.17 and Lemma 5.18.
Due to Lemma 3.13, the discreteness of NSEs also follows immediately.
∎
6. Weyl-type lower bound for the number of NSEs
Finally, let us prove the Weyl-type lower bound for the number of NSEs as λ→∞.
Our estimate is based on the Weyl’s law for Dirichlet eigenvalues of −n−1Δg and −Δ.
The following fact is a special case of Theorem 1.2.1 in Safarov-Vassiliev [24].
Theorem 6.1**.**
Let On(x)={ξ∈Rd;∑k,l=1dgkl(x)ξkξl≤n(x)} for each x∈Ωi, and
[TABLE]
It follows that Nn(λ)=#{μ∈σD(−n−1Δg);μ≤λ} satisfies
[TABLE]
as λ→∞.
Replacing Δg, n, gkl, Ωi by Δ, 1, δkl and Ω0i respectively, N0(λ)=#{μ∈σD(−Δ);μ≤λ} also satisfies
[TABLE]
as λ→∞ where Bd is the unit ball in Rd.
We put
[TABLE]
By the assumption for n, γ is constant 1 or −1.
Here let us introduce the auxiliary operator
[TABLE]
where DΓ=−ΔΓ+1 for the Laplace-Beltrami operator ΔΓ on Γ.
Note that this modification allows us to avoid the compactness of Λn(λ)−Λ0(λ).
Since DΓ is invertible, properties of Λn(λ)−Λ0(λ) as in Lemmas 5.1 and 5.13 can be rewritten as follows.
Lemma 6.2**.**
*(1) Suppose λ∈σD(−n−1Δg)∩σD(−Δ).
Then λ is an ITE if and only if dimKerΛ(λ)≥1.
The multiplicity of λ coincides with dimKerΛ(λ).
(2) Suppose λ∈σD(−n−1Δg)∩σD(−Δ).
Then λ is an ITE if and only if dimKerΛ(λ)≥1 or the ranges of γDΓQL(λ)DΓ and γDΓQ0,L(λ)DΓ have a non-trivial intersection.
The multiplicity of λ coincides with the sum of dimKerΛ(λ) and the dimension of the intersection of ranges of the residues.
(3) Λ(λ) is a first order, symmetric and elliptic pseudo differential operator with its principal symbol*
[TABLE]
In particular, the spectrum σ(Λ(λ)) for λ>0 consists of discrete eigenvalues {μj(λ)}j=1,2,… such that ∣μj(λ)∣→∞ as j→∞.
Each eigenvalue μj(λ)∈σ(Λ(λ)) depends on λ∈(0,∞).
Since Λ(λ) is order 1, and has the positive principal symbol, we can see the following properties.
For the proof, see Lemmas 2.3 and 2.4 in Lakshtanov-Vainberg [18].
Lemma 6.3**.**
*(1) For any compact interval I⊂(0,∞) such that there is no pole of Λ(λ) in I, there exists a constant C(I)>0 such that μj(λ)≥−C(I) for λ∈I.
(2) If Λ(λ) is analytic in a neighborhood of a point λ0∈(0,∞), every eigenvalue μj(λ) is also analytic in this neighborhood.
If λ0∈(0,∞) is a pole of Λ(λ) and m is the rank of the residue of Λ(λ) at λ0, then m eigenvalues μj(λ) and its eigenfunctions have their poles at λ0.
The residues resλ=λ0μj(λ) are eigenvalues of resλ=λ0Λ(λ).*
Now let us turn to the proof of Weyl-type lower bound for ITEs.
Take a sufficiently small constant α>0.
Letting {λjT}j be the set of ITEs lying in (α,∞), we put
[TABLE]
taking into account the multiplicities of ITEs where λ1T≤λ2T≤⋯.
We consider a relation between λjT and μk(λ).
Roughly speaking, we can evaluate NT(λ) by the number of the singular ITEs and the number of λ∈(α,∞) such that μk(λ)=0 for some k.
We define
[TABLE]
for λ∈σD(−n−1Δg)∪σD(−Δ).
Assume that τ∈R moves from α to ∞.
Since μk(τ) is meromorphic with respect to τ, N−(τ) changes only when some μk(τ) pass through [math] or τ passes through a pole of Λ(τ).
When τ moves from α to λ>α, N0(λ) denotes the change of N−(λ)−N−(α) due to the first case, and N−∞(λ) is the change of N−(λ)−N−(α) due to the second case.
Thus we have
[TABLE]
For a pole λ of Λ(λ), we put
[TABLE]
with sufficiently small ϵ>0.
Lemma 6.4**.**
Let λ0∈(α,∞) be a pole of Λ(λ).
We have δN−∞(λ0)=s+(λ0)−s−(λ0) for s±(λ0)=#{j;±resλ=λ0μj(λ)>0}.
Proof.
In view of Lemma 6.3, some eigenvalues μj(λ) have its poles i.e.
[TABLE]
in a small neighborhood of a pole λ0 where μj(λ) is analytic in this neighborhood.
If ±resλ=λ0μj(λ)>0, we have μj(λ)→∓∞ as λ→λ0+0 and μj(λ)→±∞ as λ→λ0−0, respectively.
Then the number of negative eigenvalues decreases for resλ=λ0μj(λ)<0 and increases for resλ=λ0μj(λ)>0 when λ passes through λ0 from α. This implies the lemma.
∎
Here we also note the following fact.
Lemma 6.5**.**
If λ0∈(0,∞) is a pole of Λn(λ), the residue QL(λ0) is negative.
Similarly, the residue of Λ0(λ0) is also negative when λ0 is a pole of Λ0(λ).
Proof.
Recall that Bn(λ0) is the subspace of L2(Γ) spanned by ∂νϕl for ϕl∈En(λ0).
In view of Proposition 4.1, we have for f∈Bn(λ0)
[TABLE]
Then QL(λ0) is negative.
For Λ0(λ0), the proof is completely same.
∎
Let λ0∈(α,∞) be a pole of Λ(λ).
We put
[TABLE]
[TABLE]
where Qn,L(λ0) and Q0,L(λ0) are residues of Λn(λ) and Λ0(λ), respectively.
Then we can evaluate δN−∞ by using mn(λ0), m0(λ0), and m(λ0) as follows.
Lemma 6.6**.**
*Let λ0∈(α,∞) be a pole of Λ(λ).
(1) If λ0∈σD(−n−1Δg)∩σD(−Δ), we have δN−∞(λ0)=−γ(mn(λ0)−m0(λ0)).
(2) If λ0∈σD(−n−1Δg)∩σD(−Δ), we have ∣δN−∞(λ0)+γ(mn(λ0)−m0(λ0))∣≤m(λ0).*
Proof.
First we shall prove the assertion (1).
Without loss of generality, we assume λ0∈σD(−n−1Δg).
Then we have
[TABLE]
where TL(λ0)(λ) is analytic with respect to λ in a small neighborhood of λ0.
It follows from Lemma 6.5 that DΓ3/4Qn,L(λ0)DΓ3/4 is negative.
Then DΓ3/4Qn,L(λ0)DΓ3/4 has exactly mn(λ0) strictly negative eigenvalues.
We also have sign(resλ=λ0μj(λ))=−γ.
In view of the assertion (2) in Lemma 6.3, this means s+(λ0)=0 and s−(λ0)=mn(λ0) for γ=1, or s+(λ0)=mn(λn) and s−(λ0)=0 for γ=−1.
Lemma 6.4 implies δN−∞(λ0)=−γ(mn(λ0)−m0(λ0)) with m0(λ0)=0.
For the case λ0∈σD(−Δ), we can see that the same formula holds with mn(λ0)=0 by the similar way.
Plugging these two cases, we obtain the assertion (1).
Let us prove the assertion (2).
Suppose λ0∈σD(−n−1Δg)∩σD(−Δ).
Then we have the representation
[TABLE]
in a small neighborhood of λ0.
In view of Lemma 6.5, we see that Qn,L(λ0)−Q0,L(λ0)<0 on Bn(λ0)∩B0(λ0)⊥, and Qn,L(λ0)−Q0,L(λ0)>0 on Bn(λ0)⊥∩B0(λ0).
If γ=1, we have m0(λ0)−m(λ0)≤s+(λ0)≤m0(λ0) and mn(λ0)−m(λ0)≤s−(λ0)≤mn(λ0).
If γ=−1, we also have mn(λ0)−m(λ0)≤s+(λ0)≤mn(λ0) and m0(λ0)−m(λ0)≤s−(λ0)≤m0(λ0).
Thus, in both of these two cases, we have
[TABLE]
This inequality implies the assertion (2) due to Lemma 6.4.
∎
Let us prove the main result.
First, we show a Weyl-type lower bound for the number of positive ITEs.
Theorem 6.7**.**
We put
[TABLE]
[TABLE]
taking into account the multiplicities for λ>α.
Then we have
[TABLE]
for large λ>α.
Moreover, we have as λ→∞
[TABLE]
if γ(Vn−V0)>0 where Vn and V0 are defined in Theorem 6.1.
Proof.
We prove fo the case σD(−n−1Δg)∩σD(−Δ)=∅.
Note that NT(λ)≥N0(λ)+NTsng(λ).
Lemma 6.6 implies ∣δN−∞(λ′)+γ(mn(λ′)−m0(λ′))∣≤m(λ′) for each pole λ′ of Λ(λ).
Taking the summation of this inequality on all poles in (α,λ], we have
[TABLE]
Plugging this inequality and N−(λ)−N−(α)=N0(λ)+N−∞(λ), we obtain
[TABLE]
Then we see (6.3).
Inequalities (6.4) and (6.5) are direct consequences of (6.3), according to Theorem 6.1.
∎
As a consequence, the main result of this paper can be proven as follows.
Theorem 6.8**.**
Let Vn and V0 be defined in Theorem 6.1.
Suppose that Vn−2V0>0 for γ=1 or V0−2Vn>0 for γ=−1.
We put
[TABLE]
taking into account the multiplicities of NSEs.
Then we have
[TABLE]
for γ=1, or
[TABLE]
for γ=−1 as λ→∞.
In particular, there exists an infinite number of NSEs.
Proof.
By the definition of singular ITEs, we have NTsng(λ)≤Nn(λ) and NTsng(λ)≤N0(λ) so that
[TABLE]
as λ→∞.
Due to the inequality (6.5) in Theorem 6.7 and the inequalities for NTsng(λ) as mentioned above, we have
[TABLE]
as λ→∞ for γ=1 or −1, respectively.
Lemma 5.3 shows that each non-singular ITE is also a NSE.
Thus these estimates give a Weyl-type lower bound for NNSE(λ).
∎
Finally, let us briefly mention the assumption of Theorem 6.8
[TABLE]
For the sake of simplicity, we consider the case M=Rd i.e. Ωi=Ω0i and gkl=δkl on M.
Let γ=1.
Note that n(x)<1 near the boundary Γ when γ=1.
We take a non-empty compact subset ωi⊂Ωi.
Suppose that there exists a sufficiently large constant c>1 such that
n(x)≥c2 for any x∈ωi.
Then we have
[TABLE]
where Bd(c) is the ball of the radius c in Rd.
If we take a large c>1 satisfying
[TABLE]
we obtain
[TABLE]
When γ=−1, we have n(x)>1 near the boundary Γ.
We take a non-empty compact set ωi⊂Ωi, and small constants c0,c1 such that 0<c0<c1<1.
We assume c02≤n(x)≤c12 for any x∈ωi.
Then we have
[TABLE]
where c2=supx∈Ωin(x)>1.
For a sufficiently small constant c1=c1(c2)>0 and a large subset ωi=ωi(c2) such that
[TABLE]
we obtain
[TABLE]
Roughly speaking, there exists an infinite number of NSEs if n(x)<1 near the boundary Γ and n(x) is sufficiently large inside of Ωi, or n(x)>1 near the boundary Γ and n(x) is sufficiently small inside of Ωi.
Appendix A Unique continuation property
In this paper, we have used the unique continuation property on M in the sense of the following statement.
Proposition I.1**.**
Let u∈H2(M) satisfy the equation (−Δg−λn)u=0 on M, and u=0 in a open subset of M.
Then we have u=0 on M.
The unique continuation property for Helmholtz type equations appears in various contexts of researches on partial differential equations and its spectral theory.
There are lots of variations of unique continuation properties and its proofs depend on settings of domains and regularities of coefficients.
The following fact is a direct consequence of Theorem 1 in [17].
Proposition I.1 follows from Proposition I.2.
Proposition I.2**.**
Let Up be a neighborhood of a given point p∈M.
For a solution u∈Hloc2(M) to the equation (−Δg−λn)u=0 in Up, suppose that there exists a small neighborhood Up′⊂Up such that u=0 in Up′.
Then we have u=0 in Up.
Let us note a regularity property across Γ in Hloc1(M) of the solution to the equation (−Δg−λn)u=0.
Recall the normal derivatives from Ωi or Ωe on Γ given by
[TABLE]
Here the definition of ∂ν has been given by (1.3).
Lemma I.3**.**
Let f∈Hloc1(Rd) such that f is smooth in R±d:={x∈Rd;±xd>0}.
Then we have f(x′,+0)=f(x′,−0) for any x′∈Rd−1 where f(x′,±0)=limxd→±0f(x′,xd).
Proof.
It is well-known that the derivative ∂f/∂xd in the distribution sense satisfies
[TABLE]
where δ(xd) is the Dirac measure and fxd∈C∞(R±d) is defined by
[TABLE]
In view of f∈Hloc1(Rd), it follows that f(x′,+0)−f(x′,−0)=0 a.e. x′∈Rd−1.
Since f is smooth in R±d, we have f(x′,+0)−f(x′,−0)=0 for any x′∈Rd−1.
∎
Proposition I.4**.**
Let v∈Hloc2(M) be smooth in M∖Γ.
We have limp′→p,p′∈Ωiv(p′)=limp′→p,p′∈M∖Ωiv(p′) and ∂νv(p)=∂νev(p) for any p∈Γ.
Proof.
For an arbitrary point q∈Γ, we take a small neighborhood Uq of q in M.
Extending the geodesic γ which has been introduced in (1.3) to Ωe, we consider the function
[TABLE]
and the derivative
[TABLE]
for −δ0<s<δ0 and p∈Uq∩Γ with a small δ0>0.
Note that
[TABLE]
By a suitable change of variables, we can apply Lemma I.3 to fv,Fv∈H1(Vq) where Vq=(Uq∩Γ)×(−δ0,δ0) so that fv(p,+0)=fv(p,−0) and Fv(p,+0)=Fv(p,−0) for any p∈Uq.
Thus we obtain the Corollary.
∎
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