We study the asymptotic behaviour of eigenvalues of 2D vibrating systems with mass density perturbed in a vicinity of closed curves. The threshold case in which the resonance frequencies of the membrane and the frequencies of thin inclusion coincide is investigated. The perturbed eigenvalue problem can be realized as a family of self-adjoint operators acting on varying Hilbert spaces. However the so-called limit operator is non-self-adjoint and possesses the Jordan chains of length 2. Apart from the lack of self-adjointness, the operator has non-compact resolvent. As a consequence, its spectrum has a complicated structure, for instance, the spectrum contains a countable set of eigenvalues with infinite multiplicity. The complete asymptotic analysis of eigenvalues has been carried out.
The mechanical systems with strongly inhomogeneous mass distributions have become the subject of intensive experimental and theoretical studies since the time of Poisson and Bessel [39, Ch.2], and a lot of research has been devoted to the analysis of vibrating systems with so-called added masses. Historically, the first relevant mathematical models in classical mechanics go back to the first half of the 20th century (see e.g. [10] and the references given there). Many authors have investigated properties of strings and rods with the mass densities perturbed by finite or infinite sums , where δ is Dirac’s delta-function and is an added mass at the point . Recently, such models in dimensions two and three with heavy inclusions of a different geometry are widely used not only in mechanics, but in various fields of science and technology such as physics of liquid crystals, physical chemistry of polymers, micelles and microemulsions, molecular theory, cell membrane theory [2, 34, 40]. For instance, cell membranes are known to contain embedded proteins and various colloidal particles [24].
In higher dimensions, the perturbation of mass densities by the δ-functions often leads to incorrect mathematical models, because the formal differential equations which appear have no mathematical meaning. As an example of such ill-posed problem we can consider the eigenvalue problem for the Laplace operator
where Ω is a bounded domain in containing the origin. The equation has no non-trivial solution, because any such solution u has a singularity at and therefore the product is not defined. The new and at the same time obvious idea was instead to replace the δ-function with its regularization , where q is a function of compact support, and study the asymptotic behaviour of eigenvalues and eigenfunctions as . The problem was first investigated by E. Sánchez-Palencia [37, 38], who proved the existence of the so-called local eigenvibrations: the eigenfunctions are significant in a small neighborhood of the origin only.
The model in which the density is perturbed by is not adequate even in the one-dimensional case, when dealing with the large masses . The very heavy inclusions cause a strong local reaction of vibrating system, but this phenomenon cannot be described on the discrete set which is a support of the sum of Dirac’s functions. The geometry of small domains where the large masses are loaded should also have an effect on the form of eigenvibrations. In [19], asymptotic analysis was applied to a spectral problem for the Sturm–Liouville operator with weight function of the form , where q is a function of compact support and . For the case the perturbation is a δ-like sequence, but the most interesting cases of the limit behaviour of eigenfunctions as are those when the power m is greater than 1.
These advanced models have attracted considerable attention in the mathematical literature over the last three decades (see e.g. [28] for a review). The spectral properties of differential operators with weight functions having the form
where are compactly supported in vicinity of different sets, have been investigated in numerous articles. We mention here [18] for the Laplace operator in dimension 3, [16, 17] for ordinary differential operators of the fourth order and the biharmonic operator, [7, 29, 30] for boundary value problems on junctions of a very complicated geometry, [13, 14] for the Sturm–Liouville operators on metric graphs. The spectral properties of strings with rapidly oscillating and periodic densities have been treated in [3, 4, 33] in the framework of homogenization theory. Another model in which the heavy inclusions were regarded as rigid ones has been studied in [36]. Since the 90s of the last century, a series of papers was published concerning 2D and 3D elastic systems with many concentrated masses near the boundary [5, 6, 8, 25–27, 31, 41]. New asymptotic results for the spectral problems in domains surrounded by thin stiff and heavy bands, when the mass density and stiffness are simultaneously perturbed in a neighbourhood of the boundary, were obtained in [20–22, 32]. The Neumann eigenvalue problem for a membrane, almost the entire mass of which is concentrated around the boundary, was studied in [35].
Membrane with heavy and thin inclusion.
In this paper we study the eigenvibration characteristics of a membrane with heavy and thin inclusion inside. Let Ω be a smooth bounded domain of , and let be a smooth closed curve. We will denote by the ε-neighborhood of γ (i.e., the union of all open balls of radius ε around a point on γ). Consider sufficiently small such that and the boundary is smooth. Assume ρ is a smooth uniformly positive functions in Ω, and
To specify explicit dependence of on ε we introduce the Fermi normal coordinates in (see Fig. 1). Let be the unit-speed smooth parametrization of γ with the natural parameter s, and is the length of γ. Then the vector is a unit normal on γ. Set for , where r is the signed distance from x to γ. Suppose that
where q is a smooth positive function in . We see that the perturbation of mass density varies on the normal direction to γ only. Let us consider the spectral problem
where and denotes the Dirichlet, Neumann or Robin boundary conditions on . Our goal is to describe the asymptotic behaviour of the eigenvalues of (1.2) as .
This paper is a continuation of [12, 15], where the problem with the Dirichlet boundary condition and more general perturbation of mass density has been treated using the variational approach and the case has been completely investigated by asymptotic methods. Also, it has been shown that there exist five different limit behaviours for the spectrum and eigenspaces depending on m: , , , and . These cases differ by the form of eigenvibrations and place on the membrane where the main part of their “energy” is concentrated in the limit. From the mathematical viewpoint, the difference between the cases is that the spectral parameter in the limit eigenvalue problems appears alternately both in a differential equation on Ω and in an equation on the strip , which is a dilatation of , and even in coupling conditions on γ.
The threshold case is the most difficult and interesting one to analyse, because the spectral parameter is included simultaneously in two differential equations, and the limit spectral problem is associated with some non-self-adjoint operator . The main insight of the present work is to exhibit this non-self-adjoint operator, its spectrum and generalized eigenspaces that contain nontrivial Jordan chains. In Section 3, we describe the spectrum of and the generalized eigenspaces. The spectrum is discrete and real; it consists of eigenvalues of three types: (a) eigenvalues of finite multiplicity with generalized eigenspaces generated by eigenvectors only; (b) infinite-fold eigenvalues with generalized eigenspaces generated by eigenvectors only; (c) infinite-fold eigenvalues with generalized eigenspaces containing both eigenvectors and generalized eigenvectors. In fact, this spectrum is a union of spectra of two operators that correspond to two different parts of the vibrating system, namely, the membrane clamped along the curve γ and the thin heavy inclusion. Using the method of quasimodes we describe the asymptotic behaviour of eigenvalues of (1.2) as perturbation of . In Section 4 and 5, we prove the existence of a countable number of eigenvalues with the asymptotics as , where λ is an eigenvalue of type (b) or (c) and . The set of correctors is a spectrum of some pseudodifferential operator acting in . In addition, if λ is an eigenvalue of type (c), there also exist two finite set of eigenvalues with other asymptotics. The first set consists of eigenvalues with the half-integer power asymptotics , as , where d is a number of Jordan chains of length 2 corresponding to λ. The eigenvalues of the second set admit the asymptotics , where are eigenvalues of some finite-dimensional operator. In Section 6 we prove that there exist K eigenvalues of (1.2) that converge to the eigenvalue λ of type (a) with multiplicity K.
The one-dimensional case of the problem was studied in the recent work [11], in which some results of [19] concerning the case were revised. In particular, the norm resolvent convergence of the perturbed operators to a non-self-adjoint limit operator was established.
Formal construction of the limit operator
It will be convenient to parameterize the curve γ by points of a circle. It will allow us not to indicate every time that functions on γ are periodic on s. Let S be the circle of the length . Then is diffeomorphic to the cylinder . We also set . Here and subsequently, writing “in ω” after an equation, we mean that the equation is considered in the rectangle and the corresponding solution is a -periodic function on s.
Let us denote by the curve that is obtained from γ by flowing for “time” t along the normal vector field, i.e., . Then the boundary of consists of two curves and . The domain Ω is divided by γ into subdomains and . Suppose that and , where and are two edges of the cut γ. In the sequel, the coordinate r increases in the direction from to .
For any , problem (1.2) admits a self-adjoint operator realization in the weighted Lebesgue space . We introduce operator defined by
on functions obeying the boundary condition on . Obviously, the spectrum of is real and discrete.
We look for the approximation to the eigenvalue and the corresponding eigenfunction of (1.2) in the form
Since solves (1.2) and the domain shrinks to γ as , the function v must be a solution of the equation in that satisfies the boundary condition on . Of course, v must also satisfy appropriate transmission conditions on γ. To find these conditions, we must examine more closely the equation in (1.2) in a vicinity of γ.
Returning to the local coordinates , we see that the vectors , give the Frenet frame for γ. The Jacobian of transformation
has the form , where is the signed curvature of γ. We see that J is positive for sufficiently small r, because the curvature ϰ is bounded on γ. In addition, the Laplace–Beltrami operator becomes
In the local coordinates , where , the Laplacian can be written as
From this we readily deduce the representation
where is a PDE of the second order on s and the first one on n whose coefficients are uniformly bounded in ω with respect to ε. Then using this representation and (2.1) we obtain the equation in ω. Next, the eigenfunction as an element of satisfies the conditions
where stands for the jump of a function across . These conditions imply and , where denote the one-side traces of v on γ, i.e., . Combining the latter equalities, we can formally deduce that the pair must be an eigenvector of the spectral problem
with the spectral parameter λ; (2.4)–(2.6) will be regarded as the limit problem.
We will show that the problem can be associated with a non-self-adjoint matrix operator. Moreover this operator is not similar to a self-adjoint one, because it possesses generalized eigenvectors. It means that the limit problem admits no self-adjoint realization. It worth mentioning that the similar non-self-adjoint problem appeared in [20], where the spectral problem for a membrane surrounded by a thin stiff band was studied. Actually perturbed spectral problem (1.2) and the problem in [20] give us nontrivial examples of self-adjoint operators acting on varying Hilbert spaces that converge in some sense to a non-self-adjoint operator.
Properties of the limit operator
We use the following notation. The spectrum and resolvent set of a linear operator T are denoted by and , respectively. Let denote the adjoint operator of T. For any , is the resolvent operator. Here and subsequently, I is an identity operator.
Spectrum of the limit operator
We introduce the operators
where is the anisotropic Sobolev space
In the space we consider the matrix operator
Now (2.4)–(2.6) can be written as with the notation . For simplicity of notation we often write instead of . Note that the operator is non-self-adjoint. Direct computations show that
where A is the restrictions of to and is the extension of B to the whole space . Here stand for the one-side traces of the normal derivative of f on γ.
The spectrum of B consists of a countable set of real eigenvalues of infinite multiplicity. Moreover, λ belongs toif and only if λ is an eigenvalue of the Sturm–Liouville problem
Obviously, the operator B is self-adjoint. For given and , the equation can be treated as the boundary value problem for the ordinary differential equation
with the parameter . If λ is not an eigenvalue of (3.1), then the problem has a unique solution for each and almost all . Moreover ϕ belongs to in view of its integral representation via the Green function. Otherwise, if λ is an eigenvalue of (3.1) with eigenfunction y, the problem is unsolvable for some right-hand sides g, because the corresponding homogeneous problem has infinitely many linearly independent solutions of the form , where . Therefore the spectrum of B consists of all eigenvalues of (3.1), and the corresponding eigenspaces are infinite-dimensional. □
The operatorhas real discrete spectrum. Moreover
Let us construct the resolvent of in an explicit form. Given , and , we write , . The second equation admits a unique solution if , and then v is a solution of the problem
Suppose the operator solves the problem
for a given function . If , then the problem has a unique solution and hence is bounded. Next, v can be represented as the sum of a solution of (3.2) subject to the homogeneous boundary conditions on and a solution of (3.3) with . Therefore
provided . Then the resolvent of can be written in the form
The equality follows directly from this representation and the fact that is bounded for . Obviously, . Suppose, contrary to our claim, that is not contained in . Then there exists such that . Hence, the operators , and are bounded, and therefore, the operator is also bounded, a contradiction. Clearly, is real and discrete, because A and B are self-adjoint operators with discrete spectra. □
The operatorhas non-compact resolvent.
The entry of the matrix is a non-compact operator, which is clear from Lemma 3.1. The main reason for which is not compact is that the second derivative is a non-elliptic PDE in the two-dimensional domain ω. □
The operator A can be represent as the direct sum , where
Hence .
Structure of generalized eigenspaces
Let be the generalized eigenspace corresponding to , i.e., . If a vector h belongs to and , one says that h is a generalized eigenvector of rank j. The eigenspace is a subspace of ; eigenvectors are precisely the generalized eigenvectors of rank 1.
Case
We look first for non-trivial solutions of . Since λ does not belong to , we have . This in turn implies , by (2.6). Therefore v must be a eigenvector of A corresponding to λ. All eigenvalues of A have finite multiplicities. Assume that λ is an eigenvalue of multiplicity K and ,…, are the eigenfunctions of A such that
Here is the Kronecker symbol. Then is spanned by
The generalized eigenvectors of rank 2 satisfy the equation , where u is an eigenvector of . There is no such vectors in this case, because the second components of all the eigenvectors are zero. In fact, implies . Therefore , where v is a linear combination of . The last equation is unsolvable, since A is self-adjoint.
Case
Suppose that y is an eigenfunction of (3.1) corresponding to λ. Then B has a countable collection of linearly independent eigenfunctions , where is a basis in consisting of smooth functions. On the other hand, the problem
is uniquely solvable for any , since λ does not belong to . Therefore possesses the countable set of linearly independent eigenvectors
where is a solution of (3.6) with in place of b. Note that the values are different from zero and hence all are non-trivial solutions. In this case, finding generalized eigenvectors of rank 2 leads to the equation , which is unsolvable for . Hence and .
Case
Since λ belongs to , any eigenvector of has the form , where v is a solution of (3.6). But now we cannot solve problem (3.6) for any function b, since λ is a point of .
Letand. Assume that λ is an eigenvalue of A of multiplicity K and the corresponding eigenfunctionssatisfy (
3.4
). Then the problemadmits a solutionif and only iffor all.
This statement is a simple consequence of the Fredholm alternative for the self-adjoint operator A with compact resolvent. Conditions (3.9) can be obtained by multiplying the equation in (3.8) by in turn and then integrating by parts twice in view of the boundary conditions. □
In view of Proposition 3.5, problem (3.6) is solvable if and only if for all , where
Let be the subspace in spanned by . Hence the solvability of (3.6) is equivalent to the orthogonality of b to .
Assume λ is an eigenvalue ofandis the multiplicity of λ in the spectrum of. Then.
Since the operator A is a direct sum of and , we can choose a basis in the eigenspace of A such that are identically equal to zero in and the rest of eigenfunctions are identically equal to zero in . Note that . Then is the linear span of
In general, these normal derivatives are linearly dependent in , but the first of derivatives are always linearly independent as well as the last of ones. Suppose, contrary to our claim, that the functions are linearly dependent in . Then there exists an eigenfunction v of the Dirichlet type problem in , on such that on the whole boundary of , but this is impossible. The same conclusion can be drawn for the second part of the normal derivatives. □
Assume and choose a basis in such that ,…, belong to , while for are elements of , and . Then
is a countable set of linearly independent eigenvectors of . Here is a solution of (3.6) for which is orthogonal to the span of in . So is infinite-dimensional.
In this case, we can also find the generalized eigenvectors of rank 2. They satisfy the equation , where is an eigenvector of . Hence and solve the problem
It is easily seen that (3.13)–(3.15) is unsolvable if . Therefore the generalized eigenvectors can be associated with some non-trivial linear combinations of the eigenvectors only. We set and . Then and
By Proposition 3.5 and (3.4), the problem admits a solution if and only if
Since v is non-zero, must have a non-trivial projection onto the subspace . But ,…, have this property. Putting for into (3.16), (3.17), we obtain the Jordan chains of length 2
where with .
There are no generalized eigenvectors of rank 3, because all the eigenvectors of rank 2 have nonzero second components and the equation is unsolvable for . Hence the space has the basis consisting of:
d Jordan chains of length 2
the series of eigenvectors of the form
eigenvectors of the form
Here are linearly independent eigenfunctions of A corresponding to eigenvalue λ.
We summarize the information about the spectrum and generalized eigenspaces of the limit operator that we have obtained.
Letbe the generalized eigenspace corresponding toandbe the eigenspace.
(i) If, thenis finite dimensional,, and the basis inis given by (
3.5
).
(ii) The partofconsists of eigenvalues λ of infinite multiplicity with eigenspacesgenerated by vectors (
3.7
).
(iii) The partis also consists of eigenvalues λ of infinite multiplicity, but. Apart from the eigenvectors, there exist the generalized eigenvectors of rank 2, and the basis inis given by (
3.18
)–(
3.20
). The dimension of factor spacedoes not exceed the multiplicity of λ in the spectrum of A, namelywhereandare the multiplicity of λ in the spectra ofandrespectively.
The operator has always the eigenvalue of infinite multiplicity, since . The zero eigenvalue is the smallest infinite-fold one, because B is non-negative. All negative eigenvalues, if they exist, have finite multiplicities.
Asymptotics of eigenvalues in the case
We will first focus our attention on perturbations of infinite-fold eigenvalues. In this section, we construct the asymptotics of countable set of eigenvalues of (1.2) that converge to an infinite-fold eigenvalue of when . We look for the asymptotics in the form
where is an non-zero element of . To match the expansions on , we write in the local coordinates . Then (2.3) becomes
After expanding and their derivatives into the Taylor series about for fixed s, we in particular derive and . Of course, and , since .
Substituting (4.1) into (1.2), and taking into account representation (2.2), we obtain that the pair solves the problem
The compatibility condition for (4.3), (4.4) reads
where y is an eigenfunction of (3.1) corresponding to . We have applied the Fredholm alternative for the operator with compact resolvent associated with the Sturm–Liouville problem (3.1). The relation (4.6) can be treated as a spectral equation on for a pseudodifferential operator on γ. We introduce the Dirichlet-to-Neumann maps in as follows. Let z be the solution of problem
for given φ. Set . We follow [1] in assuming that
Likewise, we set , where z is a solution of the problem
and . The operators transform the Dirichlet data on γ for solutions of the corresponding boundary value problems into the Neumann ones. Both operators are well-defined if . The minus sing in definition of indicates that the direction of axis r coincides with the inward normal on .
It follows from (3.7) that and is a solution of (3.6) for . Then and . Consequently, condition (4.6) reads
Suppose and write . Since
we can finally rewrite (4.6) in the form , where
Note that the values and do not depend on our choice of y, because all eigenvalues of the Sturm–Liouville problem are simple.
The operatoris self-adjoint, bounded below and has compact resolvent for all.
The operators and are self-adjoint in , bounded below and have compact resolvents [1, Th.3.1]. The linear combination has the same properties, since and are positive. Finally, is a perturbation of this linear combination by the operator of multiplication by the bounded function , which completes the proof. □
Denote by the eigenvalues of . So we have calculated the countable set of correctors in asymptotics (4.1). To keep the mathematics rather simple we suppose that the spectrum of is simple. It means that the infinite-fold eigenvalue of asymptotically splits into an infinite number of simple eigenvalues of under perturbation. Let be the collection of orthonormal eigenfunctions of .
Let us fix the corrector and set . Then is a unique solution of (3.6) with and in place of λ and b respectively. Such a choice of ensures that problem (4.3), (4.4) is solvable, since the compatibility condition holds. The problem admits the family of solutions
where is an arbitrary -function and is the partial solution subject to the condition
According to (4.2) and (4.5), with this choice of the function can be written as , where (resp. ) is a solution of the problem
with the Dirichlet data (resp. ). The term is uniquely defined, while along with will be fixed below.
Set . The pair in the asymptotics of solves the problem
By reasoning as above, we obtain that the solution exists if and only if
where
Since is a simple eigenvalue of , the second corrector can be uniquely calculated from the solvability condition for equation (4.16)
Moreover, there exists a unique solution of (4.16) satisfying the condition . Hence is now uniquely defined by choosing to be a solution of (4.11) with the Dirichlet data . The compatibility condition (4.16) allows us to solve problems (4.13), (4.14) and (4.12), (4.15) one after another and to find solutions and .
The process used to find the leading terms of asymptotic expansions (4.1) can be continued to systematically construct all other terms. For fixed we consider the countable collection of formal approximations to eigenvalues and eigenfunctions of the perturbed problem
Let H be a Hilbert space with norm and let T be a self-adjoint operator in H with a domain . We say a pair is a quasimode of T with the accuracy δ, if and . Of course, if , then μ is an eigenvalue of T with the eigenvector u.
Assumeis a quasimode of T with accuracyand the spectrum of T is discrete in the interval. Then there exists an eigenvalueof T such that.
In order to construct the quasimodes of , we must modify the approximations of eigenfunctions, because they do not belong to . By construction, the functions and are smooth, since the coefficients a, ρ and q are smooth. But, in general, have jump discontinuities on .
Plot of the function ζ.
Let us define the function ζ plotted in Fig. 2. This function is smooth outside the origin, for and in the set . We can choose β small enough such that the local coordinates are well defined in . Set
The function is different from zero in the set only. And it is easy to check that and have the same jumps across the boundary of as and respectively. Therefore the function belongs to the domain of . Moreover we have not changed too much, since
It follows from the explicit formula for and smallness of jumps of , across . All the jumps are of order , as , by construction.
We will henceforth write .
For each, the pairconstructed above is a quasimode of the operatorwith the accuracyas.
For simplicity we shall drop the index k in the sequel and write , , and instead of , , and . Set . Then we have
outside . From our choice of , we derive that the first sum in the right-hand side vanishes. Therefore , because of (4.21). Applying representation (2.2) of the Laplace operator in ω, we have
where , , ,
and . Then, in the domain , we obtain
since the functions solve the equations , by construction. Consequently . Hence
The main contribution to the -norm of is given by the integral which is of order , as . Hence for ε small enough, i.e., . This bound along with yields
and this is precisely the assertion of the lemma. □
Suppose thatis an eigenvalue of the limit operatorsuch that. Assume the spectrumof the operatoris simple. Then there exists a countable set of eigenvalues,, in the spectrum ofthat converge toand admit the asymptotics
Fix . In view of Proposition 4.2 and Lemma 4.3, there exist eigenvalues of and a constant such that
for and ε small enough. Moreover these eigenvalues are pairwise different. Suppose, contrary to our claim, that some eigenvalue of simultaneously satisfies two estimates (4.24), for example when and . Then and . Adding these inequalities yields for all ε small enough. But this is impossible, because the spectrum of is simple and therefore . Write
Hence the interval contains at least I eigenvalues of that possess the asymptotics (4.23). □
In view of Theorem 3.7, if the set is non-empty, the operator possesses generalized eigenvectors of rank 2. This requires changing the structure of asymptotics
Here is an non-zero element of the eigenspace spanned by vectors (3.12). If y is a normalized eigenfunction of (3.1) corresponding to , then for some . As above, substituting the series in (1.2) in particular yields
Since (5.4), (5.5) can be written as and B is self-adjoint, a solution exists if only if
This condition is a branching point of our algorithm.
Integer power asymptotics
If is a non-zero function, then by necessity. Then problem (5.3)–(5.6) turns into the limit problem (2.4)–(2.6) and . Without loss of generality we assume that , i.e., this vector is absorbed by the leading term of the asymptotics. Moreover, a trivial verification shows that all terms , with half-integer indexes in (5.1), (5.2) can be treated as equal to zero. In this case, we come back to the integer power asymptotics (4.1), but the construction of quasimodes needs a slight modification. The next terms , solve problem (4.2)–(4.5), and therefore condition (4.6) must hold. But now we cannot rewrite (4.6) in the form of the spectral equation for , because this operator is not defined for .
We will “extend” to by means of a restriction of the space in which it acts. A slight change in the proof of Proposition 3.5 actually shows that both problems (4.7) and (4.8) are solvable for if the function φ in the boundary condition on γ is orthogonal to the subspace spanned by functions (3.10). Although solutions of the problems, in this case, are ambiguously determined, we can subject them to some additional condition. Namely, there exists a unique solution z of (4.7) (or (4.8)) satisfying the condition . So we can define the Dirichlet-to-Neumann map on , where z is a solution of (4.7) belonging to . Similarly, we define , where is a solution of (4.8). Both operators are well defined for . In fact, we have
where is the orthogonal projector onto the subspace . Moreover, for , since the subspace is trivial in this case.
Now solvability condition (4.6) becomes , where
The pseudodifferential operator has the same properties as . Suppose that the spectrum of is simple and is the k-th eigenvalue of with the normalized eigenfunction . We set .
Assume is an K-fold eigenvalue of A with the eigenspace . In order to shorten notation, we introduce the vector , where the eigenfunctions are subject to condition (3.4). Then the leading term in (5.2) solves (3.6) for and and has the form
where is an arbitrary vector in and is a partial solution of (3.6) such that . The dot denotes the scalar product in . To determine uniquely, we should calculate . Next, we have
where is a partial solution of (4.3), (4.4) subject to condition (4.10), and is an arbitrary -function. Assume that , where and . Then problem (4.2), (4.5) for admits solutions
where ϕ and ψ solve the problems
respectively. Since g is orthogonal to , the first problem is solvable and admits a solution belonging to . As for the second one, its solvability conditions can be written in the form , where is a matrix with the entries
and f is a vector with the components
If we suppose that is not an eigenvalue of , then the solvability conditions for ψ can be fulfilled for any . It is enough to set . Then the problem has a solution .
Note that the vector has not yet been defined, because f depends on the unknown function . Using representations (5.8) and (5.9) along with the fact that , we can write the solvability condition for (4.13), (4.14) in the form
where is given by (4.17). For the equation (5.10) to be meaningful, we need to ensure that the right hand side is orthogonal to . Obviously, belongs to . Next, if is different from zero, there exists a unique vector such that . With in hand, we can uniquely defined f, , and finally the leading term . The solvability condition for (5.10) has the form . Then there exists a unique solution g satisfying the condition . And finally, we can uniquely define and (up to the vector ). This process can be continued to systematically construct all other terms , and in the approximation , of the form (4.18), (4.19). As in the previous section, can be improved to the element from the domain of operator , where is given by (4.21).
Summarizing results of the above calculations, we obtain the following statement.
The pairs,, are quasimodes ofwith the accuracyasthat approximate the part of spectrum lying in a vicinity of.
The set of quasimodes in Lemma 5.1 does not approximate all eigenvalues of that converge to . We assume that in (5.2) is different from zero, and then , by (5.7). Recalling now (3.12), we have , where is an arbitrary vector in such that . In this case, we will use some finite-dimensional operator instead of to split the limit multiple eigenvalue . Reasoning as above we deduce that the problem (5.3)–(5.6) has a solution of the form , where and is a partial solution of the problem
that is orthogonal to in . By Proposition 3.5, the solvability conditions for (5.11), (5.12) can be written in the vector form
For the next terms we have
Problem (5.15), (5.16) is solvable if . Since , it can be written in the form
Using notation (3.10), we have
Multiplying this equality by , integrating over γ and recalling (5.13), we finally discover , where is the Gram matrix of ,…, . This matrix is semi-positive and its rank is equal to the dimension of .
Suppose is a positive simple eigenvalue of with the eigenvector . So there exist two different correctors and in asymptotics (5.1) with the same leading term in approximation (5.2). First assume that . From (5.19), we have . Up to a function , we can find , where is a partial solution of (5.15), (5.16) subject to the condition . Next, problem (5.14), (5.17) is solvable if and only if , where
Also, a solution of the problem
exists if and only if
Reasoning as in the previous step, we can rewrite this condition in the form
where
Since is an eigenvalue of , the system admits a solution if and only if
Although the unit vector is defined up to the change of sign, is uniquely defined by (5.21), because the transformation implies that the vectors h and f also change their sings. We fix this solution such that . Then
by (5.20). Assuming that we have calculated , , and in (5.1), (5.2). We can continue in this fashion obtaining the next terms of the asymptotics. Taking we can compute analogously the terms , and in the asymptotics of other eigenvalue and eigenfunction. A simple analysis of the foregoing formulas shows that and . Moreover, by construction, we have
where is a solution of the problem
that is orthogonal to .
Let us summarize the above considerations in the following lemma.
Let d be the dimension of, where. Suppose that all non-zero eigenvaluesof the matrixare simple andare the corresponding normalized eigenvectors. Then the operatorpossesses d pairs of the quasimodes,, with the accuracyas, whereis a normalizing factor andThe small correctorsare defined as in (
4.20
) within place of.
The proof differs from the proof of Lemma 4.3 only by estimate (4.22). The approximations to eigenvalues and eigenfunctions have been constructed up to order and therefore the remainder term (with the notation of Lemma 4.3) can be also estimated by . But the leading term in this asymptotics is equal to zero and hence the -norm of is bounded uniformly with respect to ε. Then the normalizing factor tends to some positive number as and
which is the desired conclusion. □
In general, the Gram matrix can be degenerate. According to Proposition 3.6, it can have the eigenvalue with multiplicity up to . Suppose now that . Repeating the above arguments we find , where is an arbitrary vector in , and . Obviously, equality (5.21) is not valid if . But problem (5.14)–(5.17) becomes
and compatibility condition (5.19) for (5.23) takes the form .
Let be the solution of the Cauchy problem
Then problem (5.23) admits the solution
where is an arbitrary -function. Obviously, . The Lagrange identity yields , and hence, . Then condition (5.18) becomes , and we have
Next, we can rewrite (5.22) and (5.24) in the form
To achieve solvability of the problem one needs to choose proper vectors along with the parameter . Multiplying the equation in (5.25) by in turn and integrating by parts twice in view of the boundary conditions (5.26) yield the equation with the symmetric matrix
Note that L does not depend on , because of (5.18).
Hence, the number and non-zero vector satisfy two conditions and . Assume that L has the simple eigenvalues with the eigenvectors belonging to . If , then the dimension of is . Hence, . For any pair , we can solve (5.25), (5.26) and find
up to the vector . Also, it follows from the first condition in (5.26) that
and now the function is uniquely defined. We continue in this fashion obtaining p quasimodes of of the form
Now we summarize the results of our calculations. The next lemma can be proved similarly to Lemma 4.3.
The pairs,, given by (
5.28
), (
5.29
) are quasimodes ofwith the accuracyasthat approximate a part of spectrum lying in a vicinity of.
In view of Lemmas 5.1–5.3, we can prove the following result in the same way as Theorem 4.4.
Suppose that the setis non empty andis an eigenvalue of the limit operatorbelonging to this intersection.
Assume the spectrumof the operatoris simple. Then there exists a countable set of eigenvalues,, in the spectrum ofthat admit the asymptotics
Assumeand all positive eigenvaluesof the matrixare simple. Then operatorpossesseseigenvalues with the asymptoticsas, wherecan be calculated from (
5.21
).
Also, the operatorcan have no more thaneigenvalues of possessing the asymptoticswhereare simple non-zero eigenvalues of the matrix L whose eigenvectors belong to, and K is the multiplicity ofin the spectrum of A.
To illustrate the full picture, we show in Fig. 4 the behavior of the eigenvalues in a neighborhood of . In this case, the generalized eigenspace contains the Jordan chains. Note that problem (5.3)–(5.6) for coincides up to the multiplier in the right-hand side with problem (3.13)–(3.15) for generalized eigenvectors. Inspecting the structure of more closely we see that
where the vectors , form a Jordan chain of corresponding to . This observation has the following geometric interpretation. The operator possesses pairs of eigenvalues with the asymptotics for which the corresponding normalized eigenfunctions and converge in to the same function , as . Although these eigenfunctions remain orthogonal for all ε in the weighted space , they make an infinitely small angle between them in with the standard norm, and stick together at the limit. In particular, it leads to the loss of completeness in for the limit eigenfunction collection. Interestingly enough, however, the plane that is the span of and has regular behaviour as . The limit position of is the 2-dimensional space spanned by the functions and .
We actually have an example of singular perturbations in which the completeness property of perturbed eigenfunction collection passes in some sense into the completeness of generalized eigenfunctions of the limit non-self-adjoint operator. Although we didn’t justify the asymptotics of eigenfunctions of (1.2), we can formally state that the non-self-adjoint operator contains all the information about the asymptotic behaviour of eigenvalues of the perturbed problem:
the spectrum of is a limit set for the spectra as ;
knowing the multiplicity of eigenvalues of , we can divide into finite or infinite subsets of eigenvalues with the same limits as ;
in the case , the dimension of space indicates how many eigenvalues of possess the half-integer power asymptotics;
the Jordan chains of are involved in the quasimodes of (in the formal asymptotics of eigenfunctions of ).
Bifurcation of the eigenvalue .
As we pointed out in the introduction, the problem
with the perturbed density for and for , the Dirichlet boundary condition and without the potential a in the differential equation has been considered in [15]. The variational methods have been applied to study the asymptotic behaviour of eigenvalues and eigenfunctions. In this case the problem can be realized as the family of bounded self-adjoint operators in . Due to the second representation theorem [23, Theorem VI.2.23], is defined by the identity for all , because the Dirichlet form is a scalar product in . Problem (5.30) can be written in the form . For , it has been shown that with a constant c being independent of ε.
The complete asymptotic analysis of eigenvalues of (5.30) has been carried out for . We have proved that the spectrum consists of a countable number of infinite series of eigenvalues with the asymptotics
where is an infinite-fold eigenvalue of B and is a spectrum of pseudodifferential operator acting in (see formula (4.9)). The operator is a self-adjoint realization of a boundary value problem for the Laplace operator in Ω with coupling conditions on γ.
Since the first eigenvalue of B is equal to zero, the low-lying eigenvalues admit the asymptotics , . In this case, are eigenvalues of the spectral problem in Ω, on , where and is a distribution in acting as for any . The problem describes the eigenvibrations of a membrane with the mass density , i.e., the whole mass of the membrane is supported on γ and the rest part of vibrating system is massless. Such series of infinitesimal eigenvalues with the asymptotics , , exists for any . Hence, the estimate is sharp. The similar result is obtained in Theorems 4.4 and 5.4 for problem (1.2) when (see Corollary 5.5).
In [15] some results on the convergence of eigenfunctions have been also obtained. Interestingly enough, the complete asymptotic description of and in (5.30) includes not only the operator B but also the operator A which is associated with the problem in , on and γ in this case. In view of (5.31), any point of the positive spectral half-line is an accumulation point for eigenvalues , i.e., for each there exists a sequence of eigenvalues such that as . We have proved that only the points of can be approximated by eigenvalues so that the corresponding eigenfunctions converge to nontrivial limits in . These limits are eigenfunctions of A corresponding to λ.
Problem (
1.2
) has a series of small eigenvalues that admit the asymptoticsas, whereare eigenvalues of the problemwith the spectral parameter ν in the coupling conditions. In addition, if, then (
1.2
) has also a finite number of small eigenvalues with asymptotics
The existence of such eigenvalues follows from Theorems 4.4 and 5.4 along with the observation that belongs to (see Remark 3.8). It remains to derive the eigenvalue problem for . Let us look at (2.4)–(2.6) and put :
We see that and hence , i.e., v is continuous on γ. Since in this case, condition (4.6) for reads as on γ. To complete the proof we replace with ν and recall that . Note that problem (5.32) can be written in the form
Hence, are eigenvalues of a membrane with the mass density supported by the curve γ. □
Asymptotics of eigenvalues in the case
For the sake of completeness, we briefly discuss the perturbation of eigenvalue of which does not belong to . In view of part (i) of Theorem 3.7, is an eigenvalue of finite multiplicity. Also, we have and in asymptotics (4.1), where . Then (4.3) and (4.4) imply
Since , there exists a unique solution of the problem. Suppose the functions , , solve the problems
and . Thus we have . Next, we can rewrite (4.2) and (4.5) in the form
In general, the problem is unsolvable, because belongs to the spectrum of A which is the direct sum of and . To achieve the solvability one needs to choose proper vectors along with the parameter . Multiplying the equation in (6.1) by in turn and integrating by parts twice in view of the boundary conditions (6.2) yield the spectral matrix equation , where the matrix has the entries
The matrix R is symmetric, because it is easy to check that
Assume that R has K simple eigenvalues with the corresponding eigenvalues . For any pair , we can solve (6.1), (6.2) and find up to the vector . We continue in this fashion obtaining K different quasimodes with high enough accuracy of the operator that approximate the part of spectrum lying in a vicinity of .
Suppose thatis an eigenvalue of the limit operatorsuch that. Assumehas multiplicity K and the matrix R possesses the simple eigenvalues. Then there exist K eigenvalues in the spectrum ofthat converge toand admit the asymptoticsas,.
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