We consider the Laplacian in a tubular neighbourhood of a hyperplane subjected to non-self-adjoint -symmetric Robin boundary conditions. Its spectrum is found to be purely essential and real for constant boundary conditions. The influence of the perturbation in the boundary conditions on the threshold of the essential spectrum is studied using the Birman–Schwinger principle. Our aim is to derive a sufficient condition for existence, uniqueness and reality of discrete eigenvalues. We show that discrete spectrum exists when the perturbation acts in the mean against the unperturbed boundary conditions and we are able to obtain the first term in its asymptotic expansion in the weak coupling regime.
Quantum waveguides undoubtedly belong among the systems interesting both from the physical and mathematical perspective. This notion customarily denotes long and thin semiconductor tubes or layers produced of very pure and crystalline materials. Usually Hamiltonians describing these models are self-adjoint and the bound states correspond to an electron trapped inside the waveguide. One of the possible ways how to describe a transport inside quantum waveguides is to consider the Laplacian in an unbounded tubular region Ω. Physical relevance of such description have been thoroughly discussed in [14,23,37]. The confinement of the wavefuntion to the spatial region is usually achieved by imposing Dirichlet [18,21], Neumann [13,39] or Robin [17,20,25] boundary conditions on .
In this paper we choose to study properties of a Laplacian in a tubular neighbourhood of a hyperplane , where is a finite one-dimensional interval. Instead of standard self-adjoint boundary condition we impose on the boundary complex Robin boundary conditions
where Ψ is a wavefunction, n denotes the unit normal vector field of the boundary and α is a real-valued function. The selected boundary conditions physically correspond to the imperfect containment of the electron in the waveguide. This type of boundary conditions has been considered before in the description of open quantum systems [26,27] and in the context of quantum waveguides in [9]. (See also [6,7,10,35] for other results in this direction.)
In the paper [9] the authors focused on the case of the planar waveguide, . The spectrum of the waveguide with constant boundary conditions (i.e. along the boundary) was found to be purely essential and equal to the half-line , where . Furthermore, it is stable under sufficiently smooth compact perturbation β of the function α. In the case of a weakly coupled perturbation the existence and uniqueness of an isolated eigenvalue was established under the condition that holds and its asymptotic expansion up to the order was calculated. The border case was studied as well. This paper aims to generalise some of the above mentioned results to higher dimensions and to more general perturbations without compact support. In [9] method of matched asymptotic expansions was used, we choose a different approach to the problem based on the Birman–Schwinger principle.
Another reason for choosing complex Robin boundary conditions arises from the context of the so-called -symmetric quantum mechanics. Motivated by the numerical observation of purely real spectrum of an imaginary cubic oscillator Hamiltonian [4] it blossomed into a large and rapidly developing field studying non-self-adjoint operators. See e.g. [3,38] and reference therein for a survey of papers in this area. The -symmetry property of operator H should be here understood as its invariance on the Hilbert space , i.e.
in the operator sense, where stands for spatial reflection and stands for time reversal. The relevant physical interpretation of the operators is ensured when they are in addition quasi-self-adjoint, i.e. they are similar to a self-adjoint operator , where ω is a bounded and boundedly invertible operator. Then it is ensured that spectra of h and H are identical and that the corresponding families of eigenfunctions share essential basis properties [33,34].
This paper is organised as follows. In the following section we summarise main results. Section 3 is devoted to the proper definition of the Hamiltonian outlined in Section 1 and to proof of its basic properties. We study essential spectrum of the model in Section 4. First of all we study the waveguide with constant boundary conditions along its boundary and their perturbations. Finally, Section 5 studies the existence of weakly-coupled bound states in this perturbed waveguide.
Main results
Let us consider a region embedded into , where is a finite interval. For it reduces to a planar strip, for a layer in three dimensions. We study the problem for a general n except for the investigation of the bound states, where a specific form of the resolvent function of the Hamiltonian plays its role. We are interested in the action of the Hamiltonian of a free particle in this region subjected to -symmetric Robin boundary condition on acting in the Hilbert space . Elements of this Hilbert space are going to be consistently denoted with capital Greek letters (usually Ψ or Φ). The variables are going to be split as , where and . Given a real-valued function we define the Hamiltonian as
where stands for differentiation with respect to u, similarly Δ stands for sum of all second derivatives. The effect of should be understood in a distributional sense and the boundary conditions in the sense of traces.
We can see that the probability current in of wavefunction gives in the point of
where stands for th vector of the standard basis in . Clearly the current is not equal to zero for non-trivial α and general Ψ. However, the influence of the boundary conditions on the current does not depend on whether we are at or and therefore is the same for both components of and the gain and loss are balanced.
Using the quadratic form approach and the First Representation theorem, it will be derived in Theorem 3.4 that is an m-sectorial operator if . This yields that the operator is closed, therefore its spectrum is well defined and contained in a sector. Furthermore, the spectrum of is localised inside a parabola, more precisely,
Using the quadratic forms it can be shown for its adjoint operator that . Note that is not self-adjoint, unless α is identically equal to 0.
Elementary calculations also lead to the conclusion, that is -symmetric, i.e. commutes with operator in operator sense explained in [28, Section III.5.6]. The spatial reflection operator and the time reversal operator are in our context defined as
Another important property of is -selfadjointness, i.e. . A major consequence of this is that the residual spectrum of is empty [9, Corollary 2.1], i.e.
We emphasize that in our non-self-adjoint case it was impossible to a priori say anything about the residual spectrum, compared to the self-adjoint case, in which it is always empty.
Before approaching deeper results, we focus on a very simple case of the boundary conditions, for all , where is a real constant. Using the decomposition of the resolvent into the transversal basis, it is possible to show that the Hamiltonian can be written as a sum
where and are identity operators on and respectively, is a self-adjoint Laplacian in and is a Laplacian in with complex Robin-type boundary conditions (see (4.1) for a precise definition). The latter operator has been extensively studied in [22,24,30–32]. It was shown that it is an m-sectorial and quasi-self-adjoint operator. It has purely discrete spectrum, its lowest lying point we denote as . It holds that . Our main conclusion about the spectrum of is the following:
Let. Then
There are several different definitions of the essential spectra in literature. For the self-adjoint operators they coincide, however this needs not to be true when the operator is non-self-adjoint and the various essential spectra can differ significantly. We employ the definition via so-called singular sequences – for a closed operator A we say that belongs to the essential spectrum of A (denoted ) if there exists a sequence (called a singular sequence), for all n, such that it does not contain any convergent subsequence and . Other definitions are based e.g. on the violation of the Fredholm property (i.e. range of the studied operator is not closed or its kernel or cokernel are not finite-dimensional). However, many of these definitions coincide, provided A is -self-adjoint [15, Theorem IX.1.6].
Further on we study the perturbed waveguide, where the function α from the boundary conditions takes the form
Here and . The stability of the essential spectrum is ensured when the boundary conditions approach uniform boundary conditions in infinity.
Letwithsuch thatThen
In the rest of the paper we search for conditions under which a small perturbation allows the existence of a bound state, i.e. of an isolated eigenvalue with finite geometric multiplicity. Due to the singularity of the resolvent this effect can be expected when the effective infinite dimension of the problem is 1 or 2. (See Remark 5.8 for more details.) Our method of ensuring its existence works under assumption of a sufficiently fast decay of β in infinity, which is summarized in technical conditions (5.23) and (5.34). Using different estimates in the proofs of relevant lemmas it could be probably improved. In further text the mean value of β is denoted as .
Let us recall (2.8). Assume thatsuch that forand allwe haveforwithifandif. Ifis sufficiently small,, thenpossesses a unique, simple and real eigenvalueif. The asymptotic expansionwhere, holds as. If,has no eigenvalues.
When , (5.51) is equal to zero and we are unable to say anything about the eigenvalue. To do so it would be necessary to take higher terms in the expansion of λ, which shows to be computationally challenging by the present method. We would encounter similar difficulties when trying to obtain more than just the leading term in the asymptotic expansion (2.11) to check the equality situation .
We have just seen that the existence of the weakly coupled bound state is conditioned by fulfilment of . Both and β play equivalent role in the boundary conditions – they cause a non-zero probability current over each component of the boundary. However, the negative sign of their product means, that they generate the probability current against each other. We may conclude that the weakening of the probability current through the waveguide due to the small perturbation is responsible for the existence of the bound state.
Definition of the Hamiltonian
This section is devoted to a proper definition of the Hamiltonian outlined in Sections 1 and 2 and to stating its basic properties. We begin by prescription of the densely defined sesquilinear form
where the real part and the imaginary part are two sesquilinear forms defined on as
where the dot stands for the scalar product in and the boundary term should be again understood in the sense of traces. The form is associated with a Neumann Laplacian in , it is therefore densely defined, closed, positive and symmetric. In the spirit of perturbation theory we show that plays a role of a small perturbation of . We employ the notation for the quadratic form associated with the sesquilinear form .
Let. Theis relatively bounded with respect towith arbitrarily small relative bound. We havefor everyand.
Since Ω satisfies the segment condition, the set of restrictions of functions to Ω is dense in [2, Theorem 3.22]. (To check the condition, it is sufficient to take as a ball with radius strictly smaller than and as the vector any inwards pointing vector not exceeding the length of .) We may thus restrict ourselves to the case . Now we are able to differentiate and hence we may write
where we used the inequality . On this result we apply the Young inequality and we obtain the other inequality from the claim. □
According to [28, Theorem VI-1.33], the form is closed and sectorial. The First Representation theorem [28, Theorem VI-2.1] states that then there exists a unique m-sectorial operator such that for all and . The domain of can be expressed as
To prove that , we state first an auxiliary lemma.
Let. For eacha solution Ψ to the problemfor allbelongs to.
Equivalently, the statement may be formulated that the generalized solution Ψ to the problem
belongs to . This means that for any satisfying (3.7) we need to check that in fact .
We introduce the difference quotient [16, Section 5.8.2]
for and any and δ a small real number. Here stands for jth vector of the standard basis in , i.e. . We estimate using the Schwarz inequality
which subsequently with the use of Fubini’s theorem yields the inequality
Similarly we estimate :
If Ψ satisfies (3.6), then is a solution to
with arbitrary. It also holds
and we use it together with setting to obtain from (3.12)
We employ the estimates
and
where T is trace operator , together with Young inequality and Lemma 3.1 to obtain
where can be chosen arbitrarily small. Setting we have
where C is independent of δ. This implies that
Since bounded sequences in a reflexive Banach space are weakly precompact [16, Theorem D.4.3], we find a subsequence , , such that weakly converges to some f in . As can be expected,
Therefore in a weak sense and so for every j, . From the Interior Regularity theorem [16, Theorem 6.3.1] follows that . Hence, the equation holds almost everywhere in Ω. Also, and therefore .
Using Gauss–Green theorem we find that
for all . Using this equality and the fact that almost everywhere in Ω we obtain the boundary conditions for Ψ. □
Letbe real-valued. Thenis an m-sectorial operator onsatisfying
Using integration by parts it is straightforward to verify that is an extension of , . The other inclusion follows from Lemma 3.2 and the uniqueness in the First Representation theorem [28, Theorem VI-2.1]. □
Using the quadratic form approach, we are able to find the adjoint operator to H quite easily.
Letbe real-valued. Then
We find the adjoint operator as an operator corresponding to the adjoint form . The adjoint form can be obtained from by replacing α for . Therefore, its corresponding operator is . □
Spectrum of is indeed well defined since is a closed operator. Consequence of being m-sectorial is enclosure of its spectrum in a sector in a complex plane. Using the estimate from Lemma 3.1, this estimate can be further improved as follows.
The spectrum ofis localised inside a parabola, more precisely,
The studied Hamiltonian is fundamentally non-self-adjoint, we can however state some symmetry properties, more precisely the -symmetry and -self-adjointness.
Letbe real-valued. Thenis-symmetric with operators,defined in (2.4).
According to our definition (1.2) of -symmetry we need to check that holds in the sense [28, Section III.5.6]. For every easily holds that . We can directly check that the action of is invariant under the influence of the operator and that the boundary conditions hold also for . □
Letbe real-valued. Thenis-self-adjoint, i.e.
The proof follows in the same way as the proof of Proposition 3.7. □
The -self-adjointness in particular due to [9, Corollary 2.1] implies that
The essential spectrum
Uniform boundary conditions
Let us now study the operator with identically equal to for all . We are going to establish some of its basic properties and use them in next subsection to study the perturbed operator . Our first goal is to prove the decomposition (2.6). Let us summarise some properties of the operator
It has been shown in [31, Proposition 1] that it is an m-sectorial operator therefore it is also closed and the study of its spectrum has a good meaning. The point spectrum of is the countable set with
where , if and if . Making the hypothesis
the eigenvalues have algebraic multiplicity equal to one. The corresponding set of eigenfunctions can be chosen as
Since the resolvent of the operator is compact [31, Proposition 2], the spectrum is purely discrete and we have
The adjoint operator possesses the same spectrum since it can be obtained by interchanging for in the boundary conditions because fulfils the relations analogous to the one in Eq. (3.23), , and therefore the eigenvalue equation remains unchanged. The corresponding eigenfunction can be selected as
where are normalisation constants defined as
where , if and if . (Note that we already ruled out the case due to (4.3).) If , should be understood in the limit sense . With this choice of normalization constants the both sets of eigenvectors form biorthonormal basis [31, Proposition 3] with the relations
and
for every .
The identitywhere, holds for everyin the sense of-norm.
Let us define . From (4.9) follows that strongly converges to identity operator in . From Banach principle of uniform boundedness principle [41, Theorem III.9] follows that is uniformly bounded as . Denote . Then we obtain
for almost every . Here the positive constant C is independent of N. At the same time we have from the biorthonormal expansion (4.9). The convergence of to Ψ in then follows from the Lebesgue dominated convergence theorem. □
Spectrum of the unperturbed Hamiltonian
We aim to proof Proposition 2.1. It is quite straightforward to see that its point spectrum is empty under the hypothesis (4.3), i.e.
For the contradiction let us assume that possesses an eigenvalue λ with an eigenfunction . We then multiply the eigenvalue equation with and integrate it over I. Adopting the notation the equation then reads
in for every . Using Schwarz inequality and Fubini’s theorem we see that :
Since the point spectrum of the Laplacian in is empty, Eq. (4.12) only has a trivial solution. Therefore, (4.10) yields , which is in contradiction with our hypothesis. □
We can further claim that the set of isolated eigenvalues is always empty, even in the case when the condition (4.3) is not satisfied. This is the consequence of the fact that forms a holomorphic family of operators of type (B) with respect to and hence all its isolated eigenvalues are analytic functions in [28, Section VII.4].
The essential spectrum behaves, as can be expected – it consists of the essential spectrum of the free Laplacian in , shifted by the lowest-lying eigenvalue of .
Let. Then.
Let . It can be expressed as , where . Let be a singular sequence of corresponding to z, i.e. , does not contain converging subsequence and . We define sequence by . It can be easily seen that for all and and that since
In other words, forms a singular sequence for λ and it is therefore part of the essential spectrum. □
The opposite inclusion can be seen by employing the decomposition of the resolvent into the transverse biorthonormal basis.
Letsatisfy (4.3). Thenand for anywe haveHereis a bounded operator ondefined byforandabbreviates.
We proceed with the proof as in [9, Lemma 4.3]. Let and . We denote and for . Its norm can be estimated as
The constant depends only on , d and λ. Similarly, we estimate for every , by its gradient in and we obtain
We define a function (which is exactly the summand of the sum (4.15)). It belongs to and this is true for their infinite sum too as we shall see. We use the fact that all can be estimated by a constant c depending only on and d, and Parseval identity for and to estimate
Employing this and the estimate (4.17) together with Fubini’s theorem yields
We remind that constant c depends only on , d and λ, just as . In exactly the same manner we estimate for every using the estimate (4.18) instead of (4.17). Employing the estimate valid for , we readily estimate the norm of :
where is a constant bounding the sequence , depending only on and d. Regarding the sum of the first two terms, we obtain
and similarly for and . Altogether we uniformly estimated the partial sum of and of its derivatives, and therefore the series converges in to a function R and
where K depends only on , d and λ. It is easily seen that R satisfies the identity
for all . Therefore, and , i.e. . □
The first inequality follows from Lemma 4.2. From Lemmas 4.4 and 4.5 we know that the second equality holds for all satisfying (4.3). This result extends to all in view of the fact that forms a holomorphic family of operators of type (B) with respect to (cf. Remark 4.3). □
Stability of the essential spectrum
Our goal is to find conditions under which a single bound state arises as a consequence of a perturbation of the boundary conditions. Generally, it could happen that although it appears, the essential spectrum changes in such a way that it is absorbed in it. Therefore, we first investigate the stability of the essential spectrum under perturbations of uniform boundary conditions studied in detail in previous section and conclude with the proof of Theorem 2.3. Let us state an auxiliary lemma.
Letand. There exist positive constants c and C, depending on d and, such that any weak solutionof the boundary value problemwith any, satisfies the estimate
Multiplying the first equation of (4.25) by and integrating over Ω yields
We readily estimate using Schwarz and Young inequality
and
where and is the constant from the embedding of in depending only on d. Putting these estimates into (4.27) we get
Taking δ sufficiently small and λ sufficiently large negative, coefficients standing by and are positive and this yields the inequality (4.26). □
Using this lemma we are able to prove the following result.
Letwithsuch that (2.9) holds. Thenis compact infor any.
The proof is inspired by the proof of [9, Proposition 5.1]. It suffices to prove the result only for one sufficiently negative. (Since both and are m-sectorial, their spectra are bounded from below.) The result can be then extended to any other due to the first resolvent identity. Let us denote for this purpose and . Then we have
From the assumption is compact and and are bounded. The claim then follows from the two side ideal property of compact operators. Given an arbitrary , let us define . Ψ clearly satisfies the first equation in (4.25). Plugging it into the second one we get
therefore our , where T is a trace operator from to . Due to the estimate (4.26) it is enough to show that is compact. Indeed if this is true then given any sequence we know there is a strictly increasing sequence such that for every there is such that for all inequality holds. It follows the same is true for since
We denote and define functions
These bounded continuous functions with compact support converge to in norm. is a compact operator since is compactly embedded in for every bounded subset ω of , due to the Rellich–Kondrachov theorem [2, Section VI]. In other words, every set A, which is bounded in the topology of , is precompact in the topology of . The claim then follows from the two sided ideal property of the set compact operator if we show that the compact operators converge in the uniform topology to our operator . We have
which converges to 0 for . □
Since the difference of the resolvents is a compact operator according to Proposition 4.7, it follows from the Weyl’s essential spectrum theorem [40, Theorem XIII.14] that the essential spectra of and are identical. □
Weakly coupled bound states
Another possible influence of the perturbation of the boundary conditions on the spectrum is studied in this section. We shall employ the form
for α further on. Here , and . This section contains some preliminary and auxilliary results and culminates with the proof of Theorem 2.4.
Unitary transformation of
The form (2.1) is not very convenient for the study of bound states, the unitary transformation is therefore applied to simplify the boundary conditions for the cost of an adding of a differential operator.
is unitarily equivalent to the operator, whereand.
We are going to show that the relation
holds in operator sense with the unitary operator of multiplication acting on as . First we show that . Simple calculations show that . Further, and act in the same on functions from their domain. Now we prove that . It is clear that domain of is a subset of the domain of . Taking we estimate every action of as
In other words we just showed that and the equality of domains is proven. □
Overall, we were able to transform away the perturbed boundary conditions at the cost of adding a differential operator to the unperturbed Hamiltonian. Since unitarily equivalent operators possesses identical spectra, further on we are going to study the operator . Hereafter, a straightforward calculation inspired by [8] proves that
where and are first-order differential operators, specifically
where for any function f. We define a pair of operators by
Then (5.5) finally becomes
(Note that project from to according to the definition of adjoint operator.)
Birman–Schwinger principle
We introduce a useful technique for studying certain types of partial differential equations, particularly in the analysis of the point spectrum of differential operators. It was developed independently by Russian mathematician M.S. Birman [5] and American physicist J. Schwinger [43] in the year 1961 for estimating the number of negative eigenvalues of a self-adjoint Schrödinger operator. Since its origin it was applied in finding weakly coupled bound states [44], studying behaviour of the resolvent [29], localizing the spectrum [11] and also finding eigenvalue bounds in non-self-adjoint operators [12,19,36]. Generally it enables us to solve an eigenvalue problem for differential operators by solving an eigenvalue problem for integral operators. In this paper we apply it on the non-self-adjoint operator. Since is a differential operator, we will have to employ regularity of functions involved and integration by parts to obtain an integral operator (cf. proof of Lemmas 5.5 and 5.6).
Let,,such thatfor all. Denoting, then
⇒: Assuming holds for some we define . since we have for each the following estimate:
where and are constants arising from the boundedness of β, its derivatives and their square roots. For this Ψ we then have
⇐: Let us assume that is an eigenfunction of pertaining to the eigenvalue −1. The assumptions imply that β, and are bounded for all , therefore the operator is bounded and the same applies for its adjoint. Then and
□
Structure of
To analyze the structure of we take a closer look on the resolvent operator . We have shown in Lemma 4.5 that the biorthonormal-basis-type relations (4.8) enable us to decompose the resolvent of into the transverse biorthonormal-basis. Its integral kernel then for every reads
where and were defined in (4.4) and (4.6), respectively, and is the integral kernel of . This naturally differs for various “longitudinal” dimensions n. It is an integral operator with the integral kernel
Here is Macdonald function [1, Eq. (9.6.2)]. In the rest of this paper we are interested only in the case , where possesses a singularity for λ tending to . This singularity will play a key role in the existence of the bound state (cf. Section 5.4.1 and Remark 5.8). We notice that it arises from the first term in the sum (5.14). Hence, following [44] we decompose it into sum of three operators, , separating the diverging part in the operator , where is an integral operator with the kernel
We indeed see that the integral kernel diverges for λ tending to . The integral kernels of and are
and
respectively. We see that is the remainder after the singular part in the first term of the resolvent expansion (5.14) and is nothing else than the projection of the resolvent of on higher transversal modes. We collectively denote the regular part . We define a new variable
and show that is well-behaved with respect to this variable including the region where (i.e. where ). This will hold whenever β and its derivatives decay sufficiently fast in . We divide the proof of this fact into several lemmas.
Behaviour of the projected resolvent
Independently on the specific form of the integral kernel (5.18) of the projected resolvent , we are able to establish its boundedness and analyticity.
as a function of k defined inforor inforis a bounded operator-valued function.
Let be the projection on in ( was defined in (4.4)) and let us define a projection onto the subspace in . We denote projection onto its orthogonal complement. Now has an analytic continuation into the region since the lowest point in the spectrum of is . (Recall that its spectrum lies on the positive real half-line.) This includes the studied region .
In fact, we need show that is bounded. It is straightforward to see since every action of on any can be estimated and we see that is bounded and the same holds for . To show that is also bounded we apply the first resolvent formula to obtain
The operator is clearly bounded. The boundedness of follows from the definition of D in (5.7) and the fact that the image of lies in . □
as a function of k is analytic inforor inforfor every.
The analyticity can be showed in the same manner as the boundedness in Lemma 5.3, now using the first resolvent formula. It is equivalent to showing that the sesquilinear form
is analytic as a function of λ for every Φ and Ψ from the fundamental subset. We are in fact able to show for every and every
(The dash denotes differentiation with respect to λ.) The next step would be to show boundedness of which can be done exactly in the same way as the proof of the boundedness of . □
Behaviour of in the strip ()
Let us now assume decay of β and of its derivatives in , specifically that for and
holds with . Then we are able to show that is well-behaved.
Let us assume (5.23). Thenas a function of k defined inis a bounded and analytic operator-valued function.
We are able to obtain an integral operator from by immersing the differentiations in D into the inside of the integral operator . (This operation is justified, if the new integral kernel will be integrable and that is the object of our proof anyway.) Now, in the integral kernel, every part depending on u can be uniformly estimated. Therefore we may check only the boundedness and analyticity of integral operators and with kernels and , respectively, where
with being a bounded continuous function in . Its specific form is not important, the main role plays its behaviour in infinity. Since h arises from the terms inside of and D, h decays in faster than . As a consequence, since it is bounded and its absolute value can be estimated near by . Using the Hilbert–Schmidt norm we get
In the same manner the boundedness of can be shown:
To verify the second inequality in (5.25) it is sufficient to see that
holds for all , . After an explicit calculation of the absolute value on left-hand side of the inequality and a simple algebraic manipulation, we reformulate our problem to verification that
holds. We employ the estimate which holds for all to get
Using calculus of functions of one variable it is now easy to check that .
For proving the analyticity we need to check the finiteness of the norms of derivatives of the integral kernels
We estimate
(This can be proven in exactly the same way as (5.27).) Similarly as in (5.25) we calculate the bound and we obtain
We conduct the estimate of in the same way:
□
Behaviour of in the layer ()
For the layer, there is a different requirement on the decay of β and of its derivatives in , specifically that for and
holds with . Note that these conditions differ from (5.23). This is caused by both different dimension of the problem and by using a different estimate method.
Let us assume (5.34). Thenas a function of k defined inis a bounded and analytic operator-valued function
Throughout this proof we employ various properties of the Macdonald function K which can be found e.g. in [1, Section 9.6-7]. Similarly as in the proof of Lemma 5.5 we get rid of the derivatives in D and we may check the boundedness of integral operators and with kernels and , respectively, where
with and means the derivative with respect to . We adopted the notation . We used the differentiation formula for Macdonald functions, . For the purpose of the estimates, we use several other formulae, which are valid for any :
In the calculation of the integral bounds we make use of the polar coordinates
and employ the estimate via Schur–Holmgren bound, holding for every integral operator K with the integral kernel acting on , where M is an open subset of [8, Lemma 2.2]:
Since h is continuous, bounded and for sufficiently high , then . We obtain
where arbitrary and . The estimates of yield
Checking the analyticity means, according to its definition, checking the analyticity of the two sesquilinear forms and with arbitrary , taken as functions of k. This can be done by checking the finiteness of the norms of and . Using the formula and employing the notation we arrive at
Now we use the inequality , valid for all and estimate
The estimate of can also be carried out without further difficulties:
□
The bound state
Now we are able to summarise the results about both parts of and state that it is well-behaved in the right half-plane, as we suspected.
Let us assume (5.23) ifor (5.34) if. Thenas a function of k defined inforor inforis a bounded and analytic operator-valued function which can be analytically continued to the regionor, respectively.
Let us recall that . Using Lemmas 5.3 and 5.4 to study the first part of the operator and Lemma 5.5 in the case of the strip () or Lemma 5.6 in the case of the layer () for the study of the latter part, we see that and its derivatives are bounded when , therefore can be analytically continued to the region where . □
Equipped with Lemma 5.7 we may proceed to the main proof of this section.
Our goal is to find the condition to ensure that the operator has an eigenvalue −1. First we restrict ourselves to the case . Using Lemma 5.7 we may choose ε so small that so the operator exists and is analytic in the region . We may write
and therefore only determine whether the operator has eigenvalue −1. Since is a rank-one operator by definition, we can write
with
(Recall that is just an operator of multiplication by a function.) The operator can have only one eigenvalue, namely . Putting it equal to −1 we get the condition
Let us define the function
We shall return to the proof of existence of the eigenvalue later on, let us now for a moment assume that there is a solution to the implicit Eq. (5.47). Using the formula
we derive its asymptotic expansion in 0:
for ε tending to 0. Since for , (due to the decay in infinity) and for , after simple calculation we have
Here we used . Clearly when and if λ ought to be an eigenvalue outside the essential spectrum, must hold. This is if . If no eigenvalue can exist. The expansion of k reads and this gives
as ε goes to 0.
So far we only found out what our solution had to meet, if it existed. Equipped with the knowledge of the asymptotic expansion (5.51) we apply the Rouché’s theorem [42, Theorem 10.43(b)] in the disc , where
and the radius r is so small that the whole disc lies in the half-plane . First we show that is analytic as a function of k in the region . We prepare formula for differentiating of :
And we have for in the region :
where we used analyticity of in the region (Lemma 5.7) and properties of operators and D. With sufficiently small r we can expand in Taylor series in the neighbourhood of the point
We employ Rouché’s theorem to show that Eq. (5.47) possesses one simple and unique solution in the half-plane . We prove that the holomorphic functions and have the same number of zeros (counted as many times as their multiplicity) in (i.e. one simple zero). It suffices to show that absolute value of their difference, , is strictly smaller than . It directly follows for all from (5.51), (5.55) and (5.56)
where tends to 0 as k tends to . Using (5.55) and setting ε and r sufficiently small, we can make the coefficient by strictly smaller than 1.
The reality of the obtained eigenvalue is ensured by the -symmetry of the operator (cf. Proposition 3.7). Indeed, from the relation (1.2) follows that if λ is an eigenvalue of , then is its eigenvalue as well. From the uniqueness follows that and it is therefore real.
The proof for the case proceeds in the same manner. Equation (5.47) becomes
and solving it yields the asymptotic expansion
Now from the requirement that must hold, we obtain the condition again. The expansion of reads
where for . The proof of existence and uniqueness holds without change.
Note the important role of the singularity of the resolvent function on the existence of the bound state. For this purpose it was necessary for to have an eigenvalue −1, a necessity for this is . It would not be possible in the limit if the resolvent function inside had not a singularity in the limit . Since the resolvent function in dimension does not possess a singularity, it cannot be expected that a weak perturbation of the boundary would yield a bound state. More likely there would be a critical value of the parameter ε, giving a lower bound on ε enabling a bound state.
Footnotes
Acknowledgements
The research was supported by the Czech Science Foundation within the project 14-06818S and by Grant Agency of the Czech Technical University in Prague, Grant No. SGS13/217/OHK4/3T/14. The author would like to express his gratitude to David Krejčiřík and Petr Siegl for valuable discussions and comments.
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