Abstract
In this paper, we study a three-dimensional second-order elliptic operator with a point interaction in an arbitrary domain. The operator is supposed to be self-adjoint. We cut out a small cavity around the center of the interaction and consider an operator in such perforated domain with the Robin condition on the boundary of the cavity. Our main result states that once the coefficient in this Robin condition is appropriately chosen, the operator in the perforated domain converges to that with the point interaction in the norm resolvent sense. We also succeed in establishing order-sharp estimates for the convergence rate.
Keywords:
point interaction; small cavity; Robin condition; norm resolvent convergence; convergence rate MSC:
46L87
1. Introduction
Operators with singular point interactions are a popular model in modern mathematical physics, which have attracted a lot of attention. They have been used to model physical systems, in which an interaction is supported in a small area [1]. While for one-dimensional operators such operators look rather simple, the two- and three-dimensional cases are more delicate. In the pioneering work [2], Berezin and Faddeev provided a method of dealing with such cases. After that, there appeared many works devoted to operators with point interactions. Here, we mention only a famous monograph [3] and refer to many references provided therein.
One of the directions of studying operators with point interactions is a corresponding perturbation theory. Namely, there is a natural question of how to approximate such operators by the ones with regular coefficients in the norm resolvent sense. A usual method is to use operators with regular coefficients and to suppose that some of these coefficients are located in a small area and are large in the area. The results of such kind are discussed in much detail in [3]; see also [4,5].
In our recent works [6,7], we suggested a completely new alternative approach to approximating two-dimensional operators with point interactions via an appropriate geometric perturbation. In [6], we considered differential operators with a fixed differential expression and the perturbation was a small cavity about the center of the interaction, which was cut out from the domain. On the boundary of the cavity, a special Robin boundary condition was imposed. The coefficient in this condition was large and depended on a small parameter, which governed the size of the cavity. Once the cavity shrank to the center of the interaction, we showed that, in the sense of the norm resolvent convergence, the perturbed operator converges to an operator with a point interaction and the latter is determined by the shape of the cavity and the coefficient in the Robin condition. However, it turned out that in this way, we could approximate not all values of the coupling constant, and the admissible values of such coupling constant should satisfy a certain upper bound. At the same time, an important feature of our result is that it was established for an operator with a general differential expression and not just for the Laplacian, which has been treated in many previous works. To the best of our knowledge, a general definition of operators with point interaction on manifolds with arbitrary differential expressions was given for the first time in a very recent work [8].
In [7], we succeeded in dealing with non-self-adjoint operators, but the boundary condition on the boundary of the cavity was non-local. Such non-locality as well as non-self-adjointness allowed us to omit the aforementioned upper bound from [6] for the admissible values of the coupling constant.
It should be noted that small cavities are a very classical example in singular perturbation theory. The case of classical boundary conditions has been studied many times. Here, we mention only some books [9,10,11,12] as well as many references therein. Typical results show a convergence of the solutions for given right hand sides and the convergence is either weak or strong in appropriate Sobolev spaces. Once the right-hand sides in a problem are smooth enough, it is also possible to construct asymptotic expansions for the solutions, and this has been performed in many situations in a series of works. We also mention some recent results on norm resolvent convergence for problems in perforated domains [13,14,15,16,17,18,19]. However, in all these works, the boundary conditions were not too singular and could not produce point interactions in the limit.
In this present paper, we extend the approach of [6,7] to the three-dimensional case. Namely, we consider an arbitrary second-order differential operator in an arbitrary three-dimensional domain with varying coefficients. As in [6], we suppose that this operator is self-adjoint. Then, we add a point interaction to this operator and show how to approximate it by cutting out a small cavity. On the boundary of this cavity, we, again, impose a Robin condition with an appropriately scaled coefficient. Then, we show that once the coupling constant satisfies an appropriate upper bound, the operator on the domain with the cavity approximates the operator with the point interaction in the resolvent sense. Moreover, we succeed in providing estimates for the convergence rate and show that they are order-sharp. The established norm resolvent convergence implies the convergence of the spectrum and of the associated spectral projections.
Our technique generally follows the lines of [6,7]. However, the three-dimensional case turns out to be much more difficult. The main difficulty is due to the completely different behavior of the fundamental solution of the Laplace operator in comparison with the two-dimensional case. Such difference destroys certain crucial local estimates from [6,7], and this is why, instead, we have to analyze a special Steklov problem corresponding to the considered cavity. Such analysis turns out to be an independent problem, which we solve in Section 4.1, and nothing like this is needed in the two-dimensional case.
2. Problem and Results
In the three-dimensional space , we choose an arbitrary non-empty domain, which is either bounded or unbounded, and we denote this domain by . The situation in which coincides with the entire space is possible. Once the boundary of the domain is non-empty, we suppose that its smoothness is . We use to denote an arbitrary fixed point in , while is a bounded simply connected domain in containing the origin; the boundary of is -smooth. We introduce a small cavity around the point as , where are the Cartesian coordinates in and is a small positive parameter.
Let , , and be real functions defined on the closure possessing the following smoothness: , , . The functions obey the standard ellipticity condition
for all and with a fixed positive constant independent of x and .
We consider a self-adjoint, scalar second-order differential operator with the differential expression
in subject to boundary conditions
where
and stands for the unit normal on directed inside . denotes an arbitrary boundary operator. The only restriction for this operator is that it should obey implicit assumptions, which we impose in what follows. Particular examples for the operator are the ones corresponding to the Dirichlet, Neumann, Robin, or quasi-periodic boundary conditions. If is empty, then boundary condition (1) is not needed. The function is introduced as
where is the unit normal on directed inside and ,
The function is supposed to be real and continuous on , and it will be fixed later.
This paper aims to study the behavior of the resolvent of the operator for a small . Before formulating our main result, we need to introduce additional notation. denotes the open ball of radius r centered at a point a. The definition of the cavity implies the chain of inclusions
with some fixed positive constants , independent of .
Let be the operator in with the differential expression subject to boundary condition (1); the associated sesquilinear form is denoted by . We make the following assumptions on the operator and its form , which are, in fact, implicit assumptions for the coefficients , , and and for the boundary operator . The operator is self-adjoint and is lower semi-bounded, while the form is closed and symmetric, and its domain is a subspace of . The domain contains a subdomain such that and the restriction of each function from the domain to belongs to . The estimate
holds for all with constants , independent of u, and the constant is strictly positive. Given an arbitrary subdomain on , we introduce an auxiliary form:
We suppose that for bounded subdomains such that , this auxiliary form satisfies the lower bound
with the constants , from (5).
Rigorously, we introduce the operator in terms of the operator in the same way as in the two-dimensional case in [6]. Namely, we first introduce an auxiliary infinitely differentiable cut-off function with values in equal to the ones in and vanishing outside . Then, is the operator in with the differential expression on the domain , which consists of the functions u satisfying condition (2) and
On this domain, the operator acts as follows:
It is proven in Section 3 in Lemma 3 that the boundary value problem
where is the constant from (5) and (6), possesses a unique solution in the space for some with the differentiable asymptotic at :
where are homogeneous polynomials of order 1 with real coefficients; , are real constants; and are complex constants. We denote
It is shown in Lemma 3 that this constant is real.
We consider an auxiliary eigenvalue problem
where C is some constant depending on the choice of the function . We show in Section 4.1 that this problem has at most countably many eigenvalues, each of these eigenvalues is real, and the greatest eigenvalue is equal to 1 and is simple. denotes the distance from 1 to the next closest eigenvalue of problem (10).
We let
and assume that . We also impose the condition
denotes the operator in with the differential expression and a point interaction at the point . The domain of this operator and its action read as follows:
Here, the constant comes from (5) and (6), denotes the norm of a bounded operator acting from a Hilbert space X into a Hilbert space Y, while stands for a spectrum of an operator.
Our main result is as follows.
Theorem 1.
The operators and are self-adjoint and satisfy the estimates
Here, is an arbitrary fixed subdomain of Ω, the closure of which does not contain the point , while is an infinitely differentiable cut-off function equal to one on and vanishing outside some larger fixed domain, the closure of which also does not contain the point . The symbol C denotes positive constants independent of ε but depending on λ and additionally on the choice of in (16). These estimates are order-sharp.
The convergence of the resolvents established in the above theorem implies the convergence of the spectrum and spectral projections. Such convergence can be established by a literal reproduction of the proof of Theorem 2.2 in [6]. This gives our second main result; in the following theorem, denotes the spectrum of an operator.
Theorem 2.
The spectrum of the operator converges to that of as . Namely, if , then provided ε is small enough. If ; then, there exists a point such that as . For any , , the spectral projection of corresponding to the segment converges to the spectral projection of corresponding to the same segment in the sense of the norm .
For each fixed segment of the real line, the inclusion
holds, where C is a fixed constant independent of ε but depending on Q. If is an isolated eigenvalue of of multiplicity n, there exist exactly n eigenvalues of the operator , counting multiplicities, which converge to as . The total projection associated with these perturbed eigenvalues and the projection onto the eigenspace associated with satisfy estimates similar to (15) and (16).
Let us briefly discuss our problem and the main results. First of all, we stress that the operators we consider are rather general, namely, they have general differential expressions with variable coefficients and these coefficients can have a rather arbitrary behavior outside the domain . Namely, once it is possible to define properly the operator , our scheme works, and we can introduce the operators and . Such approach worked perfectly for two-dimensional operators in [6,7], and, here, we extend it to three-dimensional operators.
Our first main result, Theorem 1, states that a general three-dimensional operator with a point interaction can be approximated by cutting out a small hole around the center of the point interaction and by imposing a special Robin condition on its boundary. This condition is given by (1), and in view of the definition of the function in (4), we immediately see that
which means that the coefficient in this Robin condition grows as tends to zero. Under an appropriate choice of the function , Theorem 1 states the convergence of the resolvent of to that of in the operator norm (see (15)). The convergence rate is , which is shown to be order-sharp. The second convergence expressed in estimate (16) means that once we consider the restriction of the resolvent of the operator to a subdomain of separated from the point , then the convergence also holds a stronger -norm. The mentioned subdomain is controlled by the cut-off function. We also stress that both estimates (15) and (16) are order-sharp, and in Section 6, we adduce examples proving this statement. We also note that the norm does not go to zero as since an example from Section 6 shows that we only have
The constant describing the point interaction in the operator cannot take all values on the real line because of assumption (12). This condition is, in fact, an upper bound for , and it involves the constant , which is an implicit characteristic of the cavity . At the same time, we a priori know that , and to obey (12), it is sufficient to suppose that
A more gentle sufficient condition for (12) could be given once we have a lower bound for expressed in some geometric characteristics of the boundary . Unfortunately, we fail in trying to find such lower bound. A possible way of getting it could be based on using a nice formula for the eigenvalues of (10), which we establish in this work (see (53)), and trying to obtain an appropriate minimax principle on its base. However, we fail in trying to find an appropriate set of functions over which we can take such minimax. We also mention that in the two-dimensional case, for self-adjoint operators, we have an upper bound for admissible values of (see [6]).
Comparing our results with the ones established in [6,7] for the two-dimensional case, we mention the following important differences. The first of them is that the convergence rates in estimates (15) and (16) are now powers of , while in [6,7], similar rates are powers of . This means that for the three-dimensional operators, our approximation is better. A deep reason explaining this situation is a difference between the fundamental solutions of the Laplace operator in two and three dimensions. Due to the same reason, we to modify quite essentially a part of our proof for the three-dimensional operator, and this is the second important difference. Namely, one of the key ingredients is a lower-semiboundedness of the form associated with the perturbed operator, and we do need an explicit lower bound for this form. In the two-dimensional case, such lower bound is based on certain local estimates similar to the ones in Lemma 5 below. In the three-dimensional case, these local estimates are not enough, and we have to analyze an auxiliary Steklov problem; see Section 4.1 below.
Once we have the resolvent convergence stated in Theorem 1, it is possible to prove the convergence of the spectrum and the associated spectral projections. This can be performed by a literal reproduction of the proof of a similar theorem from [6], and it leads us to Theorem 2. This is why we do not provide the proof of Theorem 2 in this paper.
3. Auxiliary Statements
Here, we establish several lemmas, which are important ingredients in the proof of Theorem 1.
Lemma 1.
The identities
hold true.
Proof.
We begin with an obvious equation:
We integrate by parts this equation over with a sufficiently small :
Since the matrix is positive definite and Hermitian, there exists an orthogonal matrix reducing to its diagonal form. Performing the change of the variables with this matrix in the latter integral, then passing to the spherical coordinates, and denoting with the eigenvalues of the matrix , we obtain the following:
This formula and (20) imply an identity (18).
Similar to the above calculations, we integrate by parts as follows:
and this proves (19). The proof is complete. □
With we denote the set of non-negative integral numbers, that is, .
Lemma 2.
For each , each polynomial , and each multi-index , the equation
possesses a solution of the form
where are some polynomials with degrees obeying the inequality
Proof.
It is sufficient to study only the case when coincides with the unit matrix and , since the general case is reduced to the one mentioned by the linear change . This is why we provide only the proof of the particular mentioned case.
We prove the lemma by induction in the degree of the polynomial P. We first consider the case , that is, P is a constant. Then, it is straightforward to confirm that the equation
possesses a solution
Suppose that Equation (22) possesses a solution of the form in (21), with and for all and all polynomials P with for some . We then consider Equation (22) with a polynomial P such that and seek its solution as
and for , we then obtain the equation
The degrees of the polynomials and are at most and , respectively, and by the induction assumption, the above equation possesses a solution of the form in (21), namely,
with some polynomials of degrees . Substituting this formula into (23), we arrive at (21) for . The proof is complete. □
Estimates (5) and (6) show that the spectrum of the self-adjoint operator is a subset of the half-line . Then, the positivity of the constant implies that the resolvent is well-defined.
We introduce an auxiliary sesquilinear form
on the domain
It is clear that this form is symmetric.
Lemma 3.
Proof.
We expand the coefficients , , and of the differential expression by the Taylor formula about the point , and using Lemma 2, we see that there exists a function of the form
where the sum is finite and is taken over and , and are some polynomials, where
such that
where is continuous; the Lipschitz in is infinitely differentiable in , and
We seek the solution to the boundary value problem (7), (24) as
and the unknown function should solve the equation
and is a certain polynomial expression of the derivatives of and up to the second order. This yields for each .
Since the point is outside the resolvent set of the operator , Equation (30) is uniquely solvable in . The standard Schauder estimates [20] imply that this solution belongs to . Therefore, the function satisfies the Taylor formula
with some constant . Now, recovering the function G by Formula (29), we conclude that problem (7), (24) is uniquely solvable in , and the solution satisfies asymptotics (8).
We confirm that the constant is real. We proceed as in the proof of Lemma 3.2 in [6], namely, as in Equations (3.9)–(3.12) in [6], and we obtain the following:
and, denoting ,
We let
where are the coordinates of the point , and we observe that the functions and are odd with respect to each of the variables , . Then, it follows from asymptotics (8) and Formulas (27)–(29) that, as ,
We substitute this identity into (31), and this leads us to a formula for , which implies that this constant is real.
We proceed to proving (26). We first represent the function G as , and we see that the function is the solution of the equation
Hence,
We then consider Equation (32) pointwise in , multiply it by in , and integrate it once by parts. This gives the following:
Summing this identity with (33) and taking into consideration definition (24) of the form , we find that
In view of asymptotics (8) and definition (4) of the function , we then see that
where
Since the initialexpression in the above formulas is real due to Formula (35), the same is true for the constant , and identity (26) holds true. Moreover, since the constant is real, we immediately see that , and this completes the proof. □
We let .
Lemma 4.
These estimates hold:
where C is a fixed constant independent of ε and v.
Estimates (36) and (37) are proven in Lemmas 2.1 and 2.2 in [14]. Using these estimates and reproducing the proof of Lemmas 3.4 and 3.5 in [6] with obvious minor changes, we arrive at the following statement.
Lemma 5.
For all satisfying the condition
the inequality
holds, where C is a constant independent of ε and v. If, in addition, the function v is defined on the entire ball and , then
where C is a constant independent of ε and v.
For all and all , the inequality
holds true, where C is a constant independent of ε and v.
Proof.
For each function , we let . The latter function is an element of , and
Hence,
where C is a fixed constant independent of . Rewriting the obtained inequality in terms of the function v, we obtain
where C is a constant independent of and v. This proves (39). If, in addition, , then we apply estimate (37) with v replaced by its derivatives and replaced by to the right hand side of (42), and this leads us to (40).
We proceed to proving (41). The boundary value problem
is solvable and possesses a unique solution, such that
By the standardSchauder estimates, the function belongs to for each .
Let , then the function is an element of . Using the above definition of the function and integrating by parts, we easily find that
Returning back tothe function v, we obtain
Using the aforementionedsmoothness of the function Y and estimating the right-hand side of the obtained identity, in view of (36), we obtain
where the Cs are some constants independent of and v. Since the space is dense in , the above estimate also holds for all , and we arrive at (41). The proof is complete. □
4. Lower Semi-Boundedness and Self-Adjointness
In this section, we establish the self-adjointness of the operators and . In addition, we show that the operator is lower semi-bounded, and this is a key ingredient in proving estimates (15) and (16).
We introduce a sesquilinear form
on the domain , and we recall that the form and its domain are introduced in (24) and (25). The form is symmetric. Literally reproducing Equations (4.4)–(4.7) from [6], we see that the form is associated with the operator . Proceeding, then, as in inequalities (4.16)–(4.18) from [6], we also obtain
for all .
The proof of the self-adjointness of the operator is based on the lower semi-boundedness of its form . In order to prove the latter, we need to study an auxiliary operator similar to a Neumann-to-Dirichlet map and an associated Steklov problem.
4.1. Auxiliary Operator
We first establish the closedness of the form .
Lemma 6.
The form is closed.
Proof.
We recall that, by our assumptions, the form is closed. Let be a sequence such that as and in . Then, by inequality (44), we immediately conclude that u is an element of and in the norm of this space. Hence,
and, therefore, by definition (43) of the form , we see that
The closednessof the form then implies that , and by the definition of the cut-off function, we conclude that and as . The proof is complete. □
We equip the linear space with the scalar product
and owing to the symmetricity and closedness of the form, as well as to inequality (44), this makes the space a Hilbert one. Since by (44) we have , each possesses a trace on . The operator, which maps into its trace on , is well-defined as a bounded one from into ; we denote this operator by . In view of inequalities (36) and (44) and the compactness of the trace operator from into , the operator is compact and satisfies the estimate
where C is a constant independent of .
For each , we consider the boundary value problem
The solution isunderstood in the generalized sense, namely, a solution is a function such that
Since is the scalar product on the Hilbert space , boundary value problem (46) is uniquely solvable for each . By , we denote the operator mapping into the solution of problem (46). This operator is bounded as acting from into . Moreover, by estimates (36), (44) we easily find that
where the Cs are constants independent of , u, and . Hence,
where C is a constant independent of . It also follows from the symmetricity of the form and the identity (47) that the operator acting on is self-adjoint. Since the operator is compact, the same is true for . Estimates (45) and (49) imply that
where C is a constant independent of . The spectrum of the operator consists of discrete eigenvalues, which can accumulate only at zero, and the latter is the only possible point of the essential spectrum.
It is possible to construct an asymptotic expansion for the operator as on the base of the classical method of matching asymptotic expansions similarly to Chapter III in [10] and Chapter II, Section 2.3.4 in [12]. The application of this technique shows that
Here, , and is an infinitely differentiable cut-off function equal to one as and vanishing as . By , we denote an operator from into mapping each function into the unique solution of the boundary value problem
and the above asymptotic for U is differentiable. Since the operator is compact and is a linear functional, it follows from the definition of the operator in (50) that this operator is compact. Hence, its spectrum consists of eigenvalues of finite multiplicities, which can accumulate only at zero, and the latter is the only possible point of the continuous spectrum.
Let be the operator of taking the trace on ; this operator is obviously compact. Then, the operator is compact as well. The eigenvalues of this operator coincide with those of the operator , counting the multiplicities. Indeed, let be an eigenvalue of the operator . This means that there exists a non-trivial solution of boundary value problem (10). Hence, is an eigenvalue of the operator , and the associated eigenfunction is . Furthermore, vice versa, let be an eigenvalue of the operator and be an associated eigenfunction. Then, we consider the eigenvalue equation as the identity for two functions defined for , and we see immediately that solves problem (10) and, hence, is an eigenvalue of the operator .
Since the operator is compact, its spectrum consists of discrete eigenvalues, which can accumulate only at zero, and the latter is the only possible point of the essential spectrum. Since the eigenvalues of the operator coincide with those of the operator , in view of the convergence in (50), we conclude that the eigenvalues of are the limits of the eigenvalues of as , counting the multiplicities, and, hence, the eigenvalues of are real.
Let be an eigenvalue of the operator , then problem (10) possesses a non-trivial solution. We multiply the equation in (10) by in and integrate once by parts using the boundary condition in (10). This gives
We represent as
Since the function E is non-zero on , the above representation for is well-defined, and in view of the asymptotic at infinity in problem (10), the function possesses the following differentiable asymptotic at infinity:
We substitute representation (52) into the denominator of (51) and integrate by parts using the definition of E and :
and the final expression is positive since the same is true for the initial scalar product . Substituting these identities and representation (52) into (51), we obtain
Since the denominatorof the obtained quotient is positive, we immediately conclude that once is not identically one. It is straightforward to confirm that is an eigenvalue of the operator , and the corresponding non-trivial solution of problem (10) is . Identity (53), then, implies that is a simple eigenvalue of the operator .
In view of the established facts on the eigenvalues of the operator and the convergence in (50), the greatest eigenvalue of the operator is simple and converges to 1 as . We denote the next eigenvalue of the operator by . This eigenvalue converges to the next eigenvalue of the operator , which is strictly less than one. Let be a normalized eigenfunction, in , of the operator associated with its greatest eigenvalue. Then, by the minimax principle applied to the operator , we find
In view of identity (47), we can rewrite this inequality as
for all obeying the orthogonality condition from (54).
We also need asymptotics for the eigenvalue and the associated eigenfunction ; let us find them. It follows from problem (7), (24); the definition (4) of the function ; and Lemma 3 that the function G solves the following boundary value problem
where is a continuous function in bounded uniformly in the spatial variables in and the small parameter . denotes the solution of the problem
and in view of the uniform boundedness of h, similarly to (48), we immediately obtain the following:
Lemma 3 also implies that
where C is a positive constant independent of .
Comparing problems (46) and (56), we see that and, hence,
We apply the resolvent to the obtained equation and employ standard results on the behavior of the resolvents of the self-adjoint operators near the isolated eigenvalues (see Chapter V, Section 3.5 in [21]). This gives the identity
where is the reduced resolvent at the point 1, and this is an operator in bounded uniformly in and acting into the orthogonal complement to in . Hence,
This estimate and identity (61) imply that
Calculating the scalarproduct in of both sides of identity (61) with , in view of identity (62), we immediately see that
Calculating the scalarproduct in of both sides of identity (61) with , by (58), (62), and (63), the definition of in (60), and the normalization of and in , we see that
Let us find the scalar product . In order to do this, we write the definition of the generalized solution of problems (56), (57) with G as the test function:
Hence,
It also follows from asymptotics (8) and the definition of the function that
This identity and (11), (26) yield
The obtained formula and (59), (19) allow us to rewrite (65) as
4.2. Lower Semi-Boundedness
In this subsection, we prove the lower-semiboundedness of the form . We represent each function as
Then, by (55), for all , we have the following:
As it is established in the previous section, the eigenvalue converges to the second eigenvalue of the operator , and this is why , where as . This allows us to the rewrite the above estimate as
For each , the function
satisfies the orthogonality condition in (54), and in view of (66), we have
where C is some constant independent of and u.
For further purposes, it is more convenient to introduce another representation similar to (67): we let
Comparing the above definition of with (63), (64), we immediately see that
It follows from (67), (69) that
and in view of the orthogonality conditions in (69), we find
By the Cauchy–Schwarz inequality and (70), we obtain
where the Cs are some positive constants independent of and u. It also follows from the Cauchy–Schwarz inequality and (63), (64) that
Substituting the latter inequality and (72) into (71), we obtain the following:
with some constant C independent of and u. This estimate and (73) allow us to rewrite (68) as
where C is a constant independent of and u.
By the Cauchy–Schwarz inequality and (59), (67), we find that
for an arbitrary with some constant C independent of , u, and . By (74), for an arbitrary , we then obtain
Hence, choosing small enough and large enough, in view of condition (12), we conclude on the existence of the constants and such that
for all with a fixed positive constant independent of and u.
4.3. Self-Adjointness
We proceed to proving the self-adjointness of the operators and . We begin with the operator . Since the form is symmetric and lower-semi-bounded and is associated with the operator , it is sufficient to show that it is closed, and then this will imply the self-adjointness of the operator .
We choose an arbitrary sequence such that
for some . We also observe that since
for each , then it follows from (75) that
This estimate and (76) yield
Since the space is Hilbert and is a subspace of , the sequence converges in , and the limit is necessarily u. Hence, and as . By estimates (36) and (44), we also see that as . Therefore, as , and the form is closed. This yields the self-adjointness of the operator .
We proceed to the operator . We consider the adjoint operator , and by the definition of an adjoint operator, the domain of consists of all functions , for which there exists a function obeying the identity
Substituting the representation in (13) for the functions from the domain of the operator into the above identity, we obtain
Similarly to (32)–(34), we confirm that
Since , by (18), (36), and (41), we find that
Passing, then, to the limit in (78), we obtain
This allows us to rewrite (77) as
which yields
Due to the self-adjointness of the operator , we then obtain the identities
Applying identity (79) with replaced by w, we find that
This identity and (80) imply that
and, hence, .
In the next section, we also need the following auxiliary lemma, the proof of which literally reproduces that of Lemma 4.3 in [6].
Lemma 7.
Let , , . Then, the function u satisfies the representation
and the estimate
holds, where is a constant independent of f.
5. Resolvent Convergence
In this section, we prove estimates (15) and (16). The operators and are self-adjoint, and this is why their resolvents are well-defined for with a non-zero imaginary part. We arbitrarily fix such and a function , and we let
The function is an element of and solves the boundary value problem
where
The associated integral identity with as the test function reads as
Our next step is to estimate the right hand of this identity.
Since , it satisfies representation (81) with and estimate (82), while by (14), for the function f, we have
Following (69), we let
Then, we represent the function as
where
and is the area of .
By estimates (36) and (82), we immediately obtain
here and till the end of this section, C denotes various constants independent of f, , , , , and spatial variables.
The function satisfies condition (38) and belongs to . This is why, by (36), (40), (82), and the definition of , we obtain the following:
In view of the definition of in (85), we have
Using, then, the definition of the function in (3), asymptotics for in (59), estimate (36) applied for , inequality (82) for , the boundary condition on in (56), and the uniform boundedness of the function, we find that
Employing asymptotics (8) and (26), condition (11), and estimate (82), we find that
and, hence, in view of (59), (90), and (91),
Summing up this estimate and (87)–(89), in view of (86), we obtain
We take the imaginary part of identity (84) and use the above estimate:
Then, we take the imaginary part of identity (84) and employ the above inequality and (75):
This implies that
Inequality (15) follows from the above estimates, (83), (85), and (59). It is also easy to see that for an arbitrary domain described in the formulation of the theorem, we have
Using this estimate and (92), we arrive at (16).
6. Order Sharpness
In this section, we show that estimates (15) and (16) are order-sharp by providing an appropriate example. We let
Then, is the unit matrix and, assuming that is a constant function,
We choose as
where is an infinitely differentiable even function on , vanishing outside and obeying the conditions
The function obviously belongs to and vanishes on . The function solves the equation
In view of the assumption of in (93), we immediately see that
where the Cs are some positive constants independent of . Using the first assumption in (93), it is also straightforward to confirm that
The function
solves the problem
We also observe that
where C and are some fixed positive constants independent of .
Using problem (95) and identity (94), we easily see that the corresponding function reads as , where
Hence, in view of (96),
where C and are some fixed constants independent of . The first estimate shows that estimate (15) is order-sharp, while the second estimate does the same for (16). Estimate (97) ensures that estimate (17) is order-sharp. The proof of Theorem 1 is complete.
Funding
This work was supported by the Program of Developing Scientific and Educational Volga Region Mathematical Center (agreement no. 075-02-2024-1444).
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Conflicts of Interest
The author declare no conflicts of interest.
References
- Fermi, E. Sul moto dei neutroni nelle sostanze idrogenate. Ric. Sci. 1936, 7, 13–52. [Google Scholar]
- Berezin, F.A.; Faddeev, L.D. A remark on Schrödinger’s equation with a singular potential. Sov. Math. Dokl. 1961, 2, 372–375. [Google Scholar]
- Albeverio, S.; Gesztesy, F.; Høegh-Krohn, R.; Holden, H. Solvable Models in Quantum Mechanics, 2nd ed.; AMS Chelsea Publishing: Providence, RI, USA, 2005. [Google Scholar]
- Albeverio, S.; Nizhnik, L. Approximation of general zero-range potentials. Ukrainian Math. J. 2000, 52, 582–589. [Google Scholar] [CrossRef]
- Exner, P.; Neidhardt, H.; Zagrebnov, V.A. Potential approximations to δ′: An inverse Klauder phenomenon with norm-resolvent convergence. Commun. Math. Phys. 2001, 224, 593–612. [Google Scholar] [CrossRef]
- Borisov, D.I.; Exner, P. Approximation of point interactions by geometric perturbations in two-dimensional domains. Bull. Math. Sci. 2023, 13, 2250003. [Google Scholar] [CrossRef]
- Borisov, D.I. Geometric approximation of point interactions in two-dimensional domains for non-self-adjoint operators. Mathematics 2023, 11, 947. [Google Scholar] [CrossRef]
- Savin, A. The Friedrichs extension of elliptic operators with conditions on submanifolds of arbitrary dimension. Mathematics 2023, 12, 418. [Google Scholar] [CrossRef]
- Díaz, J.I.; Gómez-Castro, D.; Shaposhnikova, T.A. Nonlinear Reaction-Diffusion Processes for Nanocomposites: Anomalous Improved Homogenization; De Gruyter: Berlin, Germany, 2021. [Google Scholar]
- Il’in, A.M. Matching of Asymptotic Expansions of Solutions of Boundary Value Problems; American Mathematical Society: Providence, RI, USA, 1992. [Google Scholar]
- Marchenko, V.A.; Khruslov, Y.E. Boundary Value Problems in Domains with a Fine-Grained Boundary; Naukova Dumka: Kiev, Ukraine, 1974. (In Russian) [Google Scholar]
- Maz’ya, V.G.; Nazarov, S.A.; Plamenevskii, B.A. Asymptotic Theory of Elliptic Boundary Value Problems in Singularly Perturbed Domains; Birkhäuser: Basel, Switzerland, 2000; Volumes I and II. [Google Scholar]
- Suslina, T.A. Spectral approach to homogenization of elliptic operators in a perforated space. Rev. Math. Phys. 2018, 30, 1840016. [Google Scholar] [CrossRef]
- Borisov, D.I.; Mukhametrakhimova, A.I. On norm resolvent convergence for elliptic operators in multi-dimensional domains with small holes. J. Math. Sci. 2018, 232, 283–298. [Google Scholar] [CrossRef]
- Zhikov, V.V. Spectral method in homogenization theory. Proc. Steklov Inst. Math. 2005, 250, 85–94. [Google Scholar]
- Khrabustovskyi, A.; Plum, M. Operator estimates for homogenization of the Robin Laplacian in a perforated domain. J. Diff. Equats. 2022, 338, 474–517. [Google Scholar] [CrossRef]
- Borisov, D.I. Operator estimates for non-periodically perforated domains with Dirichlet and nonlinear Robin conditions: Strange term. Math. Model. Appl. Sci. 2024, 47, 4122–4164. [Google Scholar] [CrossRef]
- Borisov, D.I.; Kříž, J. Operator estimates for non-periodically perforated domains with Dirichlet and nonlinear Robin conditions: Vanishing limit. Anal. Math. Phys. 2023, 13, 5. [Google Scholar] [CrossRef]
- Anné, C.; Post, O. Wildly perturbed manifolds: Norm resolvent and spectral convergence. J. Spectr. Theory 2021, 11, 229–279. [Google Scholar] [CrossRef]
- Gilbarg, D.; Trudinger, N. Elliptic Partial Differential Equations of Second Order; Springer: New York, NY, USA, 1983. [Google Scholar]
- Kato, T. Perturbation Theory for Linear Operators; Springer: Berlin, Germany, 1976. [Google Scholar]
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