Abstract
The spectral problem for the diffusion operator is considered in a domain containing thin tubes. A new version of the method of partial asymptotic decomposition of the domain is introduced to reduce the dimension inside the tubes. It truncates the tubes at some small distance from the ends of the tubes and replaces the tubes with segments. At the interface of the three-dimensional and one-dimensional subdomains, special junction conditions are set: the pointwise continuity of the flux and the continuity of the average over a cross-section of the eigenfunctions. The existence of the discrete spectrum is proved for this partially reduced problem of the hybrid dimension. The conditions of the closeness of two spectra, i.e., of the diffusion operator in the full-dimensional domain and the partially reduced one, are obtained.
Keywords:
asymptotic domain decomposition method; approximation of the spectrum; diffusion operator; thin tubes; junction conditions MSC:
35J05; 35P05; 35P10; 74K30
1. Introduction
The method of asymptotic partial decomposition of the domain (MAPDD) was introduced for partial derivative equations set in thin tube structures in [1] (cf. also [2,3,4]). The thin tube structures (also called thin rod structures) are some unions of thin cylinders. In this case, the method gives an important gain in computational resources reducing the dimension to one everywhere except for small two- or three-dimensional parts of the domain. This method was applied to the spectral problems in [5], where the asymptotic of the spectrum of the Laplacian in two joint thin rectangles with Neumann’s boundary conditions on the lateral boundary were considered. The MAPDD was justified for such a structure. The asymptotic behavior of the spectrum of the Laplacian with Dirichlet’s or Neumann’s boundary conditions in thin domains was considered in a vast body of literature (see [6,7,8,9,10,11,12,13], and the references therein). Furthermore, let us mention some works on the eigenvalues for the Laplacian for several special cases of domains containing thin tubes, described with the help of a small parameter (cf. [14,15,16,17] among others); these spectral problems were treated using asymptotic analysis. As a matter of fact, Refs. [6,7,8,13] address spectral problems in thin planar domains, while Refs. [10,11,12] deal with three-dimensional domains in very different structures from those considered here. This topic is of great interest due to its multiple applications in scattering theory, wave-guides, etc.
In the present paper, we introduce a new version of the MAPDD with special interface conditions between the full-dimensional and one-dimensional parts, that is, the pointwise continuity of the flux and the continuity of the average over a cross-section of the eigenfunctions. These conditions were used for MAPDD approximation of the heat equation in [18]. In particular, some numerical methods also use junction conditions with jumps of the unknown function (see, e.g., [19,20]). Here, we deal with a spectral problem for the Neumann diffusion operator.
The results obtained in former works on the asymptotic analysis of spectral problems in thin domains mostly use the presence in the model of a small parameter, that is, the ratio of the characteristic sizes in the transverse and longitudinal (or in-plane) directions. The justification for these results was provided via the proof of theorems concerning the convergence of the spectrum of the original problem to that of the spectrum of the reduced problem as the small parameter tends to zero. In the present paper, we use another approach related to the method of justification for the MAPDD in [21], but we introduce different junction conditions. There is no explicit small parameter in the description of the domain, but, implicitly, it is introduced via the assumption that the first positive eigenvalues of the Neumann diffusion operator on the cross-sections of the tubes are sufficiently large. The closeness of the spectra of the original and reduced models is proved under the condition that the eigenvalues of both the original and the reduced models are smaller than these first eigenvalues on the cross-sections of the tubes. In addition, here, we do not assume that the domain is thin everywhere. It may have some thick parts connected by thin tubes. The boundary is assumed to be Lipschitz, and we do not require the regularity of the coefficient in the diffusion operator out of the tubes. The proof of the aforementioned closeness of the spectra also relies on the distance from the ends of the tubes to the one-dimensional domain in the reduced model, a distance that needs to be adjusted to achieve the desired accuracy for the approximation between the spectra.
The main results are as follows. The spectral problem for the diffusion operator is considered in a domain containing thin tubes. The reduced model is obtained from the original one by the truncation of the three-dimensional tubes at some small distance from the ends of the tubes replacing the truncated parts of the tubes by the segments. At the interface of the three-dimensional and one-dimensional subdomains, special junction conditions are set: the pointwise continuity of the flux and continuity of the average of the eigenfunctions over a cross-section. The existence of the discrete spectrum is proved for this partially reduced problem of the hybrid dimension. After prescribing an accurate precision , to obtain it, the conditions of the closeness of two spectra (i.e., of the diffusion operator in the full-dimensional domain and the partially reduced one) are obtained.
The structure of the paper is as follows: Section 2 contains some preliminary results, the definition of the domain, and the setting of the spectral problem. Moreover, the required properties on the smoothness of the eigenfunctions are obtained (cf. Section 2.3). In Section 3, the reduced approximate spectral problem is formulated. Because of the hybrid dimension, notations, weak formulation, and properties of spaces become more complicated. The required smoothness results for the eigenfunctions are also proved (cf. Section 3.3). In Section 4, we state the main results on the closeness of the spectra of the original and reduced problems (cf. Theorems 2 and 3). As a consequence, we claim the closeness of the spectra in the case where the tubes are cylinders (cf. Theorems 4 and 5). Section 5 and Section 6 contain the proofs of Theorems 2 and 3, respectively. Finally, some concluding remarks are outlined in Section 7.
2. Preliminary Results and Setting of the Problem
In this section, we introduce some notations and preliminary results that will be used throughout the whole paper. Section 2.2 contains the setting of the spectral problem under consideration, and, in Section 2.3, we provide certain smoothness properties for the eigenfunctions.
2.1. Preliminaries
By a tube, we mean a set of the form in the local coordinates , where the base of the tube is a bounded domain in with a Lipschitz boundary . The set is called the lateral surface of the tube , and ℓ stands for its length. Define
Let be the first positive eigenvalue of the following problem
where is the outward normal to .
Recall that for a disk with a diameter D, where is the smallest positive root of the derivative of the Bessel function . In the general case, we have [22]
where is a disk of the same measure as . Inequality (1) becomes an equality only if is the disk.
In the case where is a convex domain of diameter D, we have the lower estimate [23]:
Note that is an optimal constant in the Poincaré inequality
Here, is a Hilbert space equipped with the inner product and norm, respectively
Obviously, for the contracted domain, and for all .
We see that for a wide class of domains, the value characterizes the size and geometry of . So, we refer to a thin tube when . For an that is a disk with a radius of , the tube is thin if ; in this case, .
2.2. Spectral Problem
Let G be a bounded domain in with a Lipschitz boundary . Consider the following spectral problem: find a couple such that , satisfying the equation
and the boundary condition
Here, , , n is the outward normal to .
The weak formulation is given by the following identity:
It is well known that this problem has a countable set of eigenvalues and that the corresponding set of eigenfunctions can be chosen to form an orthogonal base in and an orthonormal base in .
Assume that G contains a set of disjoint thin tubes , such that their lateral surfaces belong to the boundary . Let each tube in the local coordinate system have the form and let . Consider the subtube , where , and denote , .
Define the average of the function over the cross-section of the tube
Assume that K satisfies the following condition:
2.3. Some Properties of Eigenfunctions
Let u be an eigenfunction corresponding to the eigenvalue . Denote by the restriction of the function u to , . Let . We will consider and as functions on with values in . Note that , . We set .
Lemma 1.
The function belongs to the space , and
Proof.
It is clear that and .
Let . Substituting into (2) the function , equal to on and equal to zero on , we obtain the identity
which implies the existence of the weak derivative by definition and equality (3).
The lemma is proved. □
Lemma 2.
The functions and have the derivatives and , which belong to the space .
Proof.
We introduce the finite-difference analogues of the derivative
where .
Assume that , and let be a cut-off function, equal to one on . By substituting into identity (2) the test function equal to on and zero on , we obtain
Here, h is small enough.
Using the finite-difference analogue of the formula for integration by parts, we obtain
From here,
Thus, we have the following estimate uniform in h
where is a constant depending on .
It implies the existence of the derivative . Thus, . As a consequence, there exists a derivative .
The lemma is proved. □
Lemma 3.
For almost all the following identities hold
3. Approximate Spectral Problem
This section is devoted to the setting of the problem referred to by us as the approximate spectral problem of hybrid dimensions. Section 3.1. contains the notations and preliminary results convenient for the formulation of the problem. In Section 3.2, we formulate the spectral problem along with its variational formulation in the suitable Hilbert spaces and show the discreteness of the spectrum. Moreover, we prove the required smoothness results for the eigenfunctions which, due to the junctions conditions (cf. (15) and (16)), can be weaker than those obtained for the eigenfunctions of the original problem in Section 2.3, but which somehow justify the junction conditions (cf. Corollaries 2 and 3).
3.1. Spaces , , , and
Henceforth, we will use the notation for the restriction of a function to , .
Let be the close subspace of of functions u such that for , . Introduce also the space
As noted in the introduction, the approximate spectral problem deals with the domain G with truncated tube-like parts. The following lemma pertains to the topological structure of the set .
Lemma 4.
The set has the following structure:
where and are domains with Lipschitz boundaries such that for .
Proof.
Let be an open subset of the set G. We will write that points are connected in if there exists a continuous curve starting at x and ending at y or .
We set and , . Note that the boundary of each of the sets satisfies the Lipschitz condition because .
Let us show that for all the following equality holds:
where and are domains with Lipschitz boundaries such that for .
Introduce the sets and , , which in the local coordinate system associated with have the following form:
Step 1. Let us show that equality (8) is valid for . If the set is connected, then (8) is true with and .
Assume that is not connected. Fix points and . Denote by the set of points , connected with in . Similarly, denote by the set of points , connected with in . It is clear that and are disjoint domains and , .
Let us prove that
Assume that . Since set G is connected, there is a curve , where the function is continuous, and , .
Since , then , and there exists such that and for . Moreover, there exists such that . If then points y and are connected in , which contradicts the assumption . Hence, , and so . Thus, equality (9) is true, i.e., (8) is true with and , .
Note also that , where . Since satisfies the Lipschitz condition, then and satisfy the Lipschitz condition also.
Step n. Assume that (8) is true for . Since the set is connected, then for some . If is connected then
If the set is not connected, then repeating the argument at step 1 (with replaced by and , replaced by , ), we see that is represented as the union of two non-intersecting regions and . In this case
Thus, representation (8) also holds for .
Having done N steps, we claim equality (7).
The lemma is proved. □
Introduce the space consisting of functions such that for all , for all , and the following junction conditions
hold.
Naturally, and for , .
Note that is a Hilbert space with the inner product and the norm
Lemma 5.
The embedding of into is compact.
Proof.
Assume that is a sequence that converges weakly in . As a result, it weakly converges in for all and in for all . So, converges strongly in for all and in for all . Thus, it converges strongly in .
The lemma is proved. □
Lemma 6.
Suppose that and . Then, .
Proof.
It follows from that in for all and in for all . Hence, due to the connectedness of G and condition (10), it implies that in G.
The lemma is proved. □
The following analogue of the Poincaré inequality holds in (see analogous inequalities in some spaces of discontinuous functions in [19,24]).
Lemma 7.
There exists a constant such that
Proof.
Assume the opposite. Then, there is a sequence such that
Putting , we have and
Using the compactness of embedding of into , we choose a subsequence such that weakly in and strongly in .
It follows from (12) that and . So, , and . Thus, and in which contradicts the equality .
The lemma is proved. □
Let us introduce in the closed subspace
It follows from (11) that is a Hilbert space with the following inner product and the norm:
Moreover, it follows from Lemma 5 that the embedding of into is compact.
3.2. Setting of the Approximate Spectral Problem
Consider the following spectral problem: find a couple , such that , satisfying the equation
the boundary condition
and the following junction conditions:
where is the restriction of U on .
The weak formulation of this problem is given by the following identity:
Note that conditions (15) are satisfied since . We will show also that (17) implies a validity of junction conditions (16) (see Corollaries 2 and 3).
It is clear that each eigenvalue is non-negative, the minimal eigenvalue is , and the corresponding eigenfunction is a constant.
Since the embedding of into is dense and compact, we are in a classical abstract framework of bilinear, continuous, coercive forms on a couple of Hilbert spaces and , cf., for instance, Theorem 5.5 of Chapter I in [25]. So, the following theorem is true.
Theorem 1.
There exists a system of eigenfunctions to problem (17) corresponding to the eigenvalues forming an orthonormal base in and an orthogonal base in .
Corollary 1.
There is a system of eigenfunctions to problem (17) corresponding to the eigenvalues , forming an orthonormal base in and an orthogonal base in .
3.3. Some Properties of Eigenfunctions
Henceforth, in this section, is an eigenvalue and is corresponding eigenfunction such that . Moreover, , .
Lemma 8.
The function U satisfies the identity
Proof.
The lemma is proved. □
Remember that is the restriction of U on , . We will consider as a function on with values in . We put for and for . It is clear that and . Moreover, and .
Lemma 9.
The function has a derivative .
Proof.
It follows from (17) that
for all and . Remember that
Therefore, the function has a derivative such that
for almost all .
It follows from the estimate
that
Thus, .
The lemma is proved. □
Corollary 2.
, and so, the eigenfunction U satisfies the junction conditions (16) in .
Lemma 10.
The function belongs to the space , and
Proof.
The substitution of with into (17) gives
So, .
The lemma is proved. □
We put , and will consider as a function on with values in . It is clear that , on and on .
It follows from Lemmas 9 and 10 that . So and in .
Lemma 11.
For each the function has derivatives and .
Proof.
We put for and for . Note that and .
Let be an arbitrary function identically equal to zero in some neighborhoods of the points and and such that .
Assume that and is a cutoff function, equal to one on . Substituting into (21) the test function , where h is small enough, we have
Using the difference analogue of the formula for integration by parts, we obtain
From here, we have the following estimate uniform in h
This implies the existence of the derivative . Thus, .
The existence of the derivative is proved in a similar way.
The lemma is proved. □
Corollary 3.
The following properties hold:
- (1)
- and in .
- (2)
- and in .
- (3)
- The eigenfunction U satisfies the junction conditions in (16) in .
Proof.
To prove properties (1) and (2), it should be taken into account that, due to Corollary 2, , in , and is dense in .
Property (3) holds because , where for and .
The corollary is proved. □
Lemma 12.
For almost all , the following identities hold
The proof is similar to the proof of Lemma 3.
4. Formulation of the Main Results
Let be the desired accuracy, and .
Let be the set of eigenvalues to the Neumann problem
and be the set of corresponding eigenfunctions, forming an orthogonal base in and an orthonormal base in .
Theorem 2.
Let λ be the eigenvalue of problem (2) and for all . Let the numbers be such that
where . Then, the following estimate holds:
Theore 3.
Let be the eigenvalue of problem (17) and for all . Let the numbers be such that
where . Then, the following estimate holds:
Consider a special case where, for each of the tubes , its cross section is a disk with a radius of . Remember that, in this case, , where is the smallest positive root of the derivative of the Bessel function . So, Theorems 2 and 3 can be reformulated as follows.
Theorem 4.
Let λ be the eigenvalue of problem (2) and for all . Let the numbers be such that
where . Then, the following estimate holds:
Theorem 5.
Let be the eigenvalue of problem (17) and for all . Let the numbers be such that
where . Then, the following estimate holds:
5. Proof of Theorem 2
Let be the eigenfunction of problem (2) corresponding to the eigenvalue such that . Recall that according to the hypothesis of the theorem, for all and for .
Henceforth, we will use the following notations:
We introduce the function by the formula
where and
Note that . Moreover,
Let us expand and for almost all into a Fourier series converging in
where , . It is clear that , .
Taking into account that
we have
Thus, for all ,
Lemma 13.
Let , . Then, for all , the following estimates hold
Proof.
Since the coefficients satisfy Equation (30), then for all the following formulas hold:
From here,
Summing up these estimates, we have
From here,
Integrating this inequality over and over , we arrive at the estimate
It follows from (30) that the coefficients satisfy the equation . Therefore, estimate (33) is proved in exactly the same way as estimate (31).
The lemma is proved. □
Corollary 4.
Let , . Then, the following estimates hold:
Proof.
Indeed, it follows from (31) that
Similarly, estimate (37) follows from (33).
The corollary is proved. □
Lemma 14.
Let , . Then, the following estimate holds:
Proof.
Using estimate (32) and noting that we have
The lemma is proved. □
Lemma 15.
The function satisfies the identity
where
Proof.
Let , and let functions , where , be such that for , and for .
Introduce functions
As then
Note that , in and in . So,
Note also that
Integrating by parts over z and taking into account that , , and in , we have
Noting that does not depend on y and , we have
Likewise
Thus, using (5) we obtain
By virtue of identity (6), the last two terms vanish. Noting that on , we obtain
The lemma is proved. □
Lemma 16.
Assume that the numbers satisfy the conditions in (24). Then, the following inequalities hold:
Proof.
Let us set and transform the inequalities in (40) to the form
where , .
The function is increasing. If , then for . If , then for . Thus, the first inequality in (41) holds for .
Similarly, the second inequality (41) holds for .
It should be noted that (24) implies that . Furthermore, note that already implies that .
The lemma is proved. □
Lemma 17.
Assume that the numbers satisfy the conditions in (24). Then, the following estimate is true:
Proof.
Due to the estimates in (40), we have
Taking into account that , we arrive at inequality (42).
The lemma is proved. □
Let us now show that estimate (25) holds under the conditions of Theorem 2.
Let be the set of eigenvalues to problem (17) and be the set of corresponding eigenfunctions, forming an orthonormal base in .
From (39) and equality
it follows that
So,
Hence,
As , and , we obtain the estimate
which is equivalent to estimate (25).
Theorem 2 is proved.
6. Proof of Theorem 3
Let be the eigenfunction of problem (17) corresponding to the eigenvalue and such that . Recall that according to the hypothesis of the theorem, for all and for .
Let us expand and for almost all into a Fourier series converging in :
where , .
It follows from (17) that
Taking into account that
for almost all , we have
Thus,
Remember that , (cf. Corollary 3.5). Hence,
Lemma 18.
Let , . Then, for all , the following estimates hold:
Proof.
Let . As the coefficients satisfy equation (43) and the condition , we have
From here,
So,
Integrating this inequality over and , we come to an inequality
The following inequality is proved in a similar way
By adding inequalities (46) and (47) and coarsening the result, we arrive at inequality (44).
From (43), it follows that the coefficients satisfy the equation . Taking into account that , we have for all
From here,
Hence,
Integrating this inequality over and , we come to an inequality
In the same way, we prove the inequality
By adding inequalities (48) and (49) and coarsening the result, we arrive at (45).
The lemma is proved. □
Corollary 5.
Let , . Then, the following estimates hold:
Proof.
Indeed,
The lemma is proved. □
Lemma 19.
Let for all . Then, the following estimate holds:
Proof.
Using estimate (50) and taking into account that , we have
The lemma is proved. □
Lemma 20.
The following identity is true:
where
Proof.
From (18), it follows that
Using the fact that in for , we perform the transformation
As a result, we obtain
Using identity (23), we arrive at (53).
The lemma is proved. □
Lemma 21.
Assume that the numbers satisfy the conditions in (26). Then, the following inequalities hold:
The proof of this lemma repeats the proof of lemma 16.
Lemma 22.
Assume that the numbers satisfy the conditions in (26). Then, the following estimate holds:
Proof.
Using estimates (54), we have
Taking into account that , we arrive at inequality (55).
The lemma is proved. □
Let us now establish the validity of Theorem 3.
Remember that . So
It follows from (53) and (56) that
So,
Hence,
As , and , we obtain the estimate
which is equivalent to estimate (27).
Theorem 3 is proved.
7. Conclusions
A new method reducing computational resources is introduced to find a set of first eigenvalues of the Neumann diffusion operator in a three-dimensional domain containing thin tubes. The method consists of the truncation of the tubes at some small distance from the ends of the tubes. The truncated parts are replaced by one-dimensional segments, and special junction conditions are stated on the interfaces of the three-dimensional parts and one-dimensional segments: pointwise continuity of the fluxes and continuity of an average of the eigenfunction. The method is justified by the theorems pointing out at what distance we can truncate the tubes while keeping the given accuracy for the approximations of eigenvalues. In the case in which the domain consists of thin tubes only, the method significantly reduces the computational time: if the ratio of the thicknesses of tubes to their lengths is , the time is reduced m times. This acceleration brings a significant gain in time and allows the computations of the eigenvalues in domains of complex geometry. Using the technique developed here, the approach to the eigenvalues of the original and reduced problems preserving their multiplicities (up to a prescribed accuracy), and the approaches of the corresponding eigenfunctions will be addressed in a forthcoming paper by the authors. This extension shell likely involve the construction of sets of almost orthogonal eigenfunctions of each problem (cf. [26,27] for an abstract framework and [28] for the technique in a singularly perturbed spectral problem). The analysis of the method will be extended to the comparison of the eigenfunction of the original and partially decomposed problems.
Author Contributions
This article was written in equal co-authorship. All authors have read and agreed to the published version of the manuscript.
Funding
The study by the first author was supported by a grant from the Russian Science Foundation (project no. 19-11-00033); the second and fourth authors were supported by the grant Gob. Cantabria-UC, Ref. 20.VP66.64662; and the third author was supported by the European Social Fund (project No 09.3.3-LMT-K-712-17-003) under a grant agreement with the Research Council of Lithuania (LMTLT).
Conflicts of Interest
The authors declare no conflict of interest.
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