The purpose of this study is to investigate the potential opportunities and challenges of plastic products in Ethiopia. The study is qualitative in nature and a descriptive research design with the in-depth interview was used. The study employed both primary and secondary sources of data to investigate the study on hand. More specifically purposive sampling techniques were used to select the respondents for the interview. Discourse analysis was used in the study to recognize discursive interaction as a valuable tool for determining opinions, ideas, and facts about plastic products in Ethiopia. The study developed two different storylines regarding the opportunities and challenges of plastic products. As a result, the first storyline (S1) used taxing plastic products as an alternative strategy. The second storyline (S2) used banning plastic products as opoosing strategy. The study finding implies that having a tax on plastic products could provide more opportunities for the country than banning them. More specifically, taxing plastic products will be more appropriate for the generation of revenue, employment, industrial process, construction process, and recycling in Ethiopia. On the other hand, a lack of proper collection systems, separation of the source of disposal, a properly designed operating system, clear authorities and sanitation rules, organizational capacity, and unreliable collection services were found to existing challenges of plastic products. Governments and policymakers shall play a critical role in developing the necessary legislative framework to encourage mitigation actions that contribute to the reduction of plastic waste at the source, as well as encouraging the cleanup of plastic pollution on coastlines. Public discussion on alternative packaging than the one-time use of plastic products is also needed. Public awareness is required to change customer attitudes, and separation of organic and non-organic waste across the cities.
Citation: Goshu Desalegn, Anita Tangl, Maria Fekete-Farkas. Greening through taxation: assessing the potential opportunities and challenges of plastic products in Ethiopia[J]. AIMS Environmental Science, 2022, 9(4): 432-443. doi: 10.3934/environsci.2022026
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The purpose of this study is to investigate the potential opportunities and challenges of plastic products in Ethiopia. The study is qualitative in nature and a descriptive research design with the in-depth interview was used. The study employed both primary and secondary sources of data to investigate the study on hand. More specifically purposive sampling techniques were used to select the respondents for the interview. Discourse analysis was used in the study to recognize discursive interaction as a valuable tool for determining opinions, ideas, and facts about plastic products in Ethiopia. The study developed two different storylines regarding the opportunities and challenges of plastic products. As a result, the first storyline (S1) used taxing plastic products as an alternative strategy. The second storyline (S2) used banning plastic products as opoosing strategy. The study finding implies that having a tax on plastic products could provide more opportunities for the country than banning them. More specifically, taxing plastic products will be more appropriate for the generation of revenue, employment, industrial process, construction process, and recycling in Ethiopia. On the other hand, a lack of proper collection systems, separation of the source of disposal, a properly designed operating system, clear authorities and sanitation rules, organizational capacity, and unreliable collection services were found to existing challenges of plastic products. Governments and policymakers shall play a critical role in developing the necessary legislative framework to encourage mitigation actions that contribute to the reduction of plastic waste at the source, as well as encouraging the cleanup of plastic pollution on coastlines. Public discussion on alternative packaging than the one-time use of plastic products is also needed. Public awareness is required to change customer attitudes, and separation of organic and non-organic waste across the cities.
Over the last eighty years or so, the subject of the mathematical analysis of waves interacting with obstacles and structures ("scattering theory") has served as one of the most impressive examples of bridging abstract mathematics and physics applications, which in turn motivated the development of new mathematical techniques. The pioneering works of von Neumann [59], [60] and his contemporaries during 1930-1950, on the mathematical foundations of quantum mechanics, fuelled the interest of mathematical analysts to formulating and addressing the problems of direct and inverse wave scattering in a rigorous way.
The foundations of the modern mathematical scattering theory were laid by Friedrichs, Kato and Rosenblum [28,53,22] and subsequently by Birman and Kreĭn [7], Birman [6], Kato and Kuroda [29] and Pearson [50]. For a detailed exposition of this subject, see [51,64]. A parallel approach, which provides a connection to the theory of dissipative operators, was developed by Lax and Phillips [39], who analysed the direct scattering problem for a wide class of linear operators in the Hilbert space, including those associated with the multi-dimensional acoustic problem outside an obstacle, using the language of group theory (and, indeed, thereby developing the semigroup methods in operator theory). The associated techniques were also termed "resonance scattering" by Lax and Phillips.
By virtue of the underlying dissipative framework, the above activity set the stage for the applications of non-selfadjoint techniques, such as the functional model for contractions and dissipative operators by Szökefalvi-Nagy and Foiaş [56], which showed the special rôle in it of the characteristic function of Livšic [41] and allowed Pavlov [49] to construct a spectral form of the functional model for dissipative operators. The connection between this work and the concepts of scattering theory was uncovered by the famous theorem of Adamyan and Arov [1]. In a closely related development, Adamyan and Pavlov [2] established a description for the scattering matrix of a pair of self-adjoint extensions of a symmetric operator (densely or non-densely defined) with finite equal deficiency indices.
Further, Naboko [44] advanced the research initiated by Pavlov, Adamyan and Arov in two directions. Firstly, he generalised Pavlov's construction of the functional model in its spectral form to the case of non-dissipative operators, and secondly, he established its applicability to the scattering theory for pairs of non-selfadjoint operators. In particular, he provided explicit formulae for the wave operators and scattering matrices of a pair of (in general, non-selfadjoint) operators in the functional model setting. It is remarkable that in this work of Naboko the difference between the so-called stationary and non-stationary scattering approaches disappears.
Our first aim in the present work is to discuss an extension of the approach of Naboko [44], which was formulated for additive perturbations of self-adjoint operators, to the case of both self-adjoint and non-self-adjoint extensions of symmetric operators. Our strategy is based on a version of the functional model of Pavlov and Naboko as developed by Ryzhov [54]. The work [54] stopped short of proving the crucial, from the scattering point of view, theorem on "smooth" vectors and therefore was unable to extend Naboko's results on the scattering theory to the setting of (in general, non-selfadjoint) extensions of symmetric operators.
Our second aim is, using the above construction, to provide an explicit solution to an open problem of inverse scattering on a finite non-compact quantum graph, namely, the problem of determining matching conditions at the graph vertices. The uniqueness part of this problem has been treated in a preprint by Kostrykin and Schrader [32]. There is also substantial literature on scattering for vector Schrödinger operators on a half-line with matrix potentials, which corresponds to the particular case of a star-graph. Among the latest works on this subject we point out [61], [62], see also references therein, in which scattering is treated in the case of most general matching conditions at the vertex.
The mentioned problem on quantum graphs is a natural generalisation of the classical problem of inverse scattering on the infinite and semi-infinite line, which was solved using the classical integral-operator techniques by Borg [9,10], Levinson [40], Krein [35,36,37], Gel'fand and Levitan [23], Marchenko [42], Faddeev [21,20], Deift and Trubowitz [13]. This body of work has also included the solution to the inverse spectral problem, i.e. the problem of determining the potential in the Schrödinger equation from the spectral data. The inverse scattering problem in these works is reduced to the analysis of the inverse problem based on the Weyl-Titchmarsh
In the operator-theoretic context, the
Quantum graphs, i.e. metric graphs with ordinary differential operators acting on the edges subject to some "coupling" conditions at the graph vertices, see e.g. [4] are known to combine one-dimensional and multidimensional features. Assuming that the graph topology and the lengths of the edges are known, for the operator of second differentiation on all graph edges and
The paper is organised as follows. In Section 2 we recall the key points of the theory of boundary triples for extensions of symmetric operators with equal deficiency indices and introduce the associated
Let
n±(A):=dim(H⊖ran(A−zI))=dim(ker(A∗−ˉzI)),z∈C±. |
If
In view of the importance of dissipative operators within the present work, we briefly recall that a densely defined operator
Im⟨Lf,f⟩≥0∀f∈dom(L). | (2.1) |
For a dissipative operator
C−⊂{z∈C:∃C>0 ∀f∈dom(L) ||(L−zI)f||≥C||f||}. |
A dissipative operator
We next describe the boundary triple approach to the extension theory of symmetric operators with equal deficiency indices (see in [14] a review of the subject). This approach is particularly useful in the study of self-adjoint extensions of differential operators of second order.
Definition 2.1. For a closed symmetric operator
(1)⟨A∗f,g⟩H−⟨f,A∗g⟩H=⟨Γ1fΓ0g⟩K−⟨Γ0fΓ1g⟩K; | (2.2) |
(2)Themappingdom(A∗)∋f↦(Γ1fΓ0f)∈K⊕Kissurjective. |
Then the triple
In this work we consider almost solvable extensions
f∈dom(AB)⟺Γ1f=BΓ0f. | (2.3) |
The following assertions, written in slightly different terms, can be found in [30,Thm. 2] and [26,Chap. 3 Sec. 1.4] (see also [54,Thm. 1.1], and [55,Sec. 14] for alternative formulation). We compile them in the next proposition for easy reference.
Proposition 1. Let
1.
2.
3.
4.
5.
Definition 2.2. The function
M(z)Γ0f=Γ1f ∀f∈ker(A∗−zI) |
is the Weyl function of the boundary triple
The Weyl function defined above has the following properties [15].
Proposition 2. Let
1.
2.
M(z)∗=M(ˉz)andIm(z)Im(M(z))>0forz∈C∖R. |
3. The spectrum of
We next lay out the notation for some of the main objects in our analysis. In the auxiliary Hilbert space
Bϰ:=αϰα2 | (2.4) |
belongs to
1 Clearly, the assumption that
Aϰ:=ABϰ. | (2.5) |
Here
Definition 2.3. The characteristic function of the operator
S(z):=I+iα(B∗iI−M(z))−1α, z∈C+. | (2.6) |
Remark 1. The function
Remark 2. When
S(z)=(M(z)−iI)(M(z)+iI)−1. | (2.7) |
Our approach to mathematical scattering theory for extensions of closed symmetric operators (direct and inverse) will be based on the functional model for a family of almost solvable extensions of the given minimal symmetric operator. Our choice of this method is based on the following considerations:
1) We would like to consider scattering problems where at least one of the two operators of the pair is non-selfadjoint. In contrast, the classical scattering results only pertain to pairs of self-adjoint operators: even the definition of
2) Naboko [44] has shown how to construct mathematical scattering for a class of non-selfadjoint operators in the "additive" case
3) It has to be pointed out that the seemingly non-selfadjoint approach due to Naboko contains the self-adjoint setting as its particular case, and when applied this way it yields all the classical results (e.g. Pearson Theorem, Birman-Krein-Kuroda Theorem, as well as their generalisations). In this self-adjoint setting this approach proves to be consistent with the "smooth" scattering theory (see [64]). As in the case of the latter, the principal rôle in Naboko's construction is played by a linear dense subset of the absolutely continuous subspace ("smooth" vectors), which in the self-adjoint case is described by the so-called Rosenblum Lemma [53]. In the non-self-adjoint case the corresponding linear dense subset is identified by the property that the resolvent acts on it as the resolvent of the operator of multiplication in the symmetric Pavlov representation, cf. (4.9). This, in turn, facilitates the derivation of explicit formulae for wave operators on these dense sets of smooth vectors. The construction of the wave operators is then completed by passing to a closure.
In what follows we briefly describe the approach introduced above and the results obtained on this way, essentially building up on the earlier results pertaining to the analysis of non-self-adjoint extensions, due to Ryzhov. These allow us to generalise Naboko's construction of wave operators and scattering matrices to the case studied in the present paper. In order to deal with the family of extensions
Following [44], we introduce a Hilbert space serving as a functional model for the family of operators
A
supy>0∫R‖f(x±iy)‖2Kdx<+∞. |
Whenever
As mentioned above, the characteristic function
∫R⟨(IS∗(s)S(s)I)⟩(˜g(s)g(s))(˜g(s)g(s))K⊕Kds, | (4.1) |
which is always nonnegative, due to the contractive properties of
H:=L2(K⊕K;(IS∗SI)) | (4.2) |
is the completion of the linear set of two-component vector functions
Another consequence of the contractive properties of the characteristic function
||(˜gg)||H≥{||˜g+S∗g||L2(R,K),||S˜g+g||L2(R,K). |
Thus, for every Cauchy sequence
Furthermore, consider the orthogonal subspaces of
D−:=(0ˆH2−(K)),D+:=(ˆH2+(K)0), | (4.3) |
and define the space
K={(˜gg)∈H:˜g+S∗g∈ˆH2−(K),S˜g+g∈ˆH2+(K)}. | (4.4) |
The orthogonal projection
PK(˜gg)=(˜g−P+(˜g+S∗g)g−P−(S˜g+g)), | (4.5) |
where
A completely non-selfadjoint dissipative operator admits [56] a self-adjoint dilation. The dilation
PH(A−zI)−1↾H=(AiI−zI)−1,z∈C−. |
As in the case of additive non-selfadjoint perturbations [44], Ryzhov established in [54,Thm. 2.3] that
Φ↾HH=K |
unitarily, where
H∋h↦0⊕h⊕0∈H. |
In what follows we keep the label
Following the ideas of Naboko, in the functional model space
Nϰ±:={(˜gg)∈H:P±(χ+ϰ(˜g+S∗g)+χ−ϰ(S˜g+g))=0}, | (4.6) |
where
χ±ϰ:=I±iϰ2. |
These subspaces have a characterisation in terms of the resolvent of the operator
Theorem 4.1 ([12]). The following characterisation holds:
Nϰ±={(˜gg)∈H:Φ(Aϰ−zI)−1Φ∗PK(˜gg)=PK1⋅−z(˜gg)forallz∈C±}. | (4.7) |
Consider also the counterparts of
˜Nϰ±:=Φ∗PKNϰ±, | (4.8) |
which are linear sets albeit not necessarily subspaces. In a way similar to [44], we define the set
˜Nϰe:=˜Nϰ+∩˜Nϰ− |
of so-called smooth vectors and its closure
Definition 4.2. For a symmetric operator
The next statement, the proof of which is given in [12], motivates the above definition.
Theorem 4.3 (Self-adjoint case, see [12]). Assume that
Definition 4.2 follows in the footsteps of the corresponding definition by Naboko [44] in the case of additive perturbations. In particular, an argument similar to [44,Corollary 1] shows that for the functional model image of
Φ˜Nϰe={PK(˜gg):(˜gg)∈H satisfiesΦ(Aϰ−zI)−1Φ∗PK(˜gg)=PK1⋅−z(˜gg) ∀z∈C−∪C+}. | (4.9) |
(Note that the inclusion of the right-hand side of (4.9) into
Φ˜Nϰe={PK(˜gg):(˜gg)∈H satisfies χ+ϰ(˜g+S∗g)+χ−ϰ(S˜g+g)=0}. | (4.10) |
The representations (4.9), (4.10) illustrate the rôle of the subspace of smooth vectors as the subspace in whose image under the isometry
The results discussed above allow us to calculate the wave operators for any pair
We begin by recalling the model representation for the function
Proposition 3. ([44,Prop. 2]) For all
Φexp(iAϰt)Φ∗PK(˜gg)=PKexp(ikt)(˜gg). |
Proposition 4.([44,Section 4]) If
2 Despite the fact that
||exp(−iAϰt)Φ∗PK(˜gg)−exp(−iA0t)Φ∗PK(~g′g)||H→t→−∞0. |
It follows from Proposition 4 that whenever
limt→−∞eiA0te−iAϰtΦ∗PK(˜gg)=Φ∗PK(˜g′g)=Φ∗PK(−(I+S)−1(I+S∗)gg), |
where in the last equality we use the inclusion
In what follows we use the standard definition of wave operators, see e.g. [28], allowing the operator
W±(A0,Aϰ):=s−limt→±∞eiA0te−iAϰtPϰac,W±(Aϰ,A0):=s−limt→±∞eiAϰte−iA0tP0ac. | (5.1) |
In the above formulae, we denote by
It follows that for
W−(A0,Aϰ)Φ∗PK(˜gg)=Φ∗PK(−(I+S)−1(I+S∗)gg). | (5.2) |
One argues in a similar way in the case of the wave operator
||e−iAϰtW±(Aϰ,A0)Φ∗PK(˜gg)−e−iA0tΦ∗PK(˜gg)||H→t→±∞0, Φ∗PK(˜gg)∈˜N0e. |
Theorem 5.1 ([12]). Let
W+(A0,Aϰ)Φ∗PK(˜gg)=Φ∗PK(˜g−(I+S∗)−1(I+S)˜g). | (5.3) |
Similarly, the wave operators and
W−(Aϰ,A0)Φ∗PK(˜gg)=Φ∗PK(−(I+χ−ϰ(S−I))−1(I+χ+ϰ(S∗−I))gg), | (5.4) |
W+(Aϰ,A0)Φ∗PK(˜gg)=Φ∗PK(˜g−(I+χ+ϰ(S∗−I))−1(I+χ−ϰ(S−I))˜g), | (5.5) |
The ranges of
3 In the case when
Sketch of the proof. In order to rigorously justify the above formal derivation of (5.2)-(5.5), i.e. in order to prove the existence and completeness of the wave operators, one needs to show that the right-hand sides of the formulae (5.2)-(5.5) make sense on dense subsets of the corresponding absolutely continuous subspaces. Noting that (5.2)-(5.5) have the form identical to the expressions for wave operators derived in [44,Section 4], [46], this justification is an appropriate modification of the argument of [46].
Indeed, consider the formula (5.2). Here one needs to attribute a correct sense to the expression
(I+S(z))−1=12(I+i2αM(z)−1α). |
It follows from the analytic properties of
The presented argument allows one to verify the correctness of the formula (5.2). Indeed, consider
(−(I+S)−11n(I+S∗)g1ng)∈H. |
It follows, by the Lebesgue dominated convergence theorem, that the set of vectors
The remaining three wave operators are treated in a similar way, see the complete details in [12]. Finally, the density of the range of the four wave operators follows from the density of their domains, by a standard inversion argument, see e.g. [64].
Remark 3 ([12]). 1. The condition of the above theorem that
2. An alternative sufficient condition is the condition
3. Following from the analysis above, the existence and completeness of the wave operators for the par
The scattering operator
Σ=W−1+(Aϰ,A0)W−(Aϰ,A0). |
The formulae (5.2)-(5.5) lead (see (cf. [44])) to the following formula for the action of
ΦΣΦ∗PK(˜gg)=PK(−(I+χ−ϰ(S−I))−1(I+χ+ϰ(S∗−I))g(I+S∗)−1(I+S)(I+χ−ϰ(S−I))−1(I+χ+ϰ(S∗−I))g), | (5.6) |
whenever
The identity
‖PK(˜gg)‖2H=⟨(I−S∗S)˜g,˜g⟩∀PK(˜gg)∈˜N0e, |
which is derived in the same way as in [44,Section 7] for all
FPK(˜gg)=˜g. | (6.1) |
Here
F∗PK(˜gg)=g |
defines an isometry
Proposition 5 ([12]). Suppose that the assumptions of Theorem 5.1 hold. Then the ranges of the operators
The above statement immediately implies the next result, which allows us to obtain the required spectral representation.
Theorem 6.1. The operator
It follows that the operator
In order to obtain a spectral representation from the above result, we need to diagonalise the weights in the definitions of the above
S=(M−iI)(M+iI)−1, | (6.2) |
and consequently
I−S∗S=−2i(M∗−iI)−1(M−M∗)(M+iI)−1,I−SS∗=2i(M+iI)−1(M∗−M)(M∗−iI)−1. | (6.3) |
Introducing the unitary transformations
G:L2(K;I−S∗S)↦L2(K;−2i(M−M∗)), | (6.4) |
G∗:L2(K;I−SS∗)↦L2(K;−2i(M−M∗)) | (6.5) |
by the formulae
The result of the previous section only pertains to the absolutely continuous part of the self-adjoint operator
Theorem 7.1. The following formula holds:
ˆΣ=GFΣ(GF)∗=(M−ϰ)−1(M∗−ϰ)(M∗)−1M, | (7.1) |
where the right-hand side represents the operator of multiplication by the corresponding function.
Proof. Using the definition (6.1) of the isometry
FΣF∗=(I+χ−ϰ(S−I))−1(I+χ+ϰ(S∗−I))(I+S∗)−1(I+S), | (7.2) |
where the right-hand side represents the operator of multiplication by the corresponding function.
Furthermore, substituting the expression (2.6) for
(M+iI)(M−ϰ)−1(M∗−ϰ)(M∗)−1M(M+iI) |
in the space
⟨FΣF∗f,g⟩L2(K;I−S∗S)=⟨(I−S∗S)(M+iI)(M−ϰ)−1(M∗−ϰ)(M∗)−1M(M+iI)f,g⟩=⟨−2i(M∗−iI)−1(M−M∗)(M+iI)−1(M+iI)(M−ϰ)−1×(M∗−ϰ)(M∗)−1M(M+iI)f,g⟩=⟨−2i(M−M∗)(M−ϰ)−1(M∗−ϰ)(M∗)−1M(M+iI)f,(M+iI)g⟩, |
which is equivalent to (7.1), in view of the definition of the operator
In applications to quantum graphs it may turn out that the operator weight
Remark 4. From this point on, for simplicity of presentation we consider the case of a finite non-compact quantum graph, when the deficiency indices are finite. However, our approach allows us to consider the general setting of infinite deficiency indices, which in the quantum graph setting leads to an infinite graph. In particular, on could consider the case of an infinite compact part of the graph.
In what follows, we denote by
For a finite metric graph
∂nf(xj):={f′(xj),ifxjistheleftendpointoftheedge,−f′(xj),ifxjistherightendpointoftheedge. | (7.3) |
In the case of semi-infinite edges we only apply this definition at the left endpoint of the edge.
Definition 7.2. For
∑xj∈Vm∂nf(xj)=amf(Vm) |
is called the
Remark 5. Note that the
Definition 7.3. The quantum graph Laplacian
If all coupling constants
In [16] the following result is obtained for the case of finite compact metric graphs.
Proposition 6 ([16]). Let
mjk(z)={−√z(∑ep∈Ekcot√zlp−2∑ep∈Lktan√zlp2),j=k,√z∑ep∈Cjk1sin√zlp,j≠k; Vj,Vk adjacent,0,j≠k; Vj,Vk non−adjacent. | (7.4) |
Here the branch of the square root is chosen so that
It is easily seen that the rationale of [16] is applicable to the situation of non-compact metric graphs. Indeed, denote by
Lemma 7.4. The matrix functions
M(z)=M(i)(z)+i√zPe,z∈C+, | (7.5) |
where
Proof. Note first that Weyl function of the graph
Γ1f=Mj(z)Γ0f,f∈ker(A∗−zI),f≡0 on G∖ej. |
In order words, the matrix functions
Furthermore, functions
−f"(x)=zf(x),x∈[0,+∞),f∈W2,2(0,+∞), | (7.6) |
where we identify
f(x)=f(0)exp(i√zx), x∈[0,+∞), f(0)≠0, |
for which the value of the co-derivative (7.3) at
The formula (7.5) leads to
ˆΣe(s)=Pe(M(s)−ϰ)−1(M(s)∗−ϰ)(M(s)∗)−1M(s)Pe, s∈R, | (7.7) |
which acts as the operator of multiplication in the space
Remark 6. In the more common approach to the construction of scattering matrices, based on comparing the asymptotic expansions of solutions to spectral equations, see e.g. [20], one obtains
Remark 7. The concrete choice of boundary triple in accordance with Proposition 6 leads to the fact that the "unperturbed" operator
We reiterate that the analysis above pertains not only to the cases when the coupling constants are real, leading to self-adjoint operators
In what follows we often drop the argument
(M−ϰ)−1(M∗−ϰ)=I+(M−ϰ)−1(M∗−M)=I−2i√s(M−ϰ)−1Pe | (7.8) |
and
(M∗)−1M=I+2i√s(M∗)−1Pe, |
a factorisation of
ˆΣe=[Pe(M−ϰ)−1(M∗−ϰ)Pe][Pe(M∗)−1MPe]. | (7.9) |
We will now exploit the above approach in the analysis of the inverse scattering problem for Laplace operators on finite metric graphs, whereby the scattering matrix
First, given
(M−ϰ)−1=(M(i)−ϰ)−1−(M−ϰ)−1(M−M(i))(M(i)−ϰ)−1=[I−(M−ϰ)−1(M−M(i))](M(i)−ϰ)−1, |
and hence
Pe(M−ϰ)−1Pe=[Pe−i√sPe(M−ϰ)−1Pe]Pe(M(i)−ϰ)−1Pe. | (8.1) |
Further, the first factor on the right-hand side of (8.1) is invertible for almost all
(M−ϰ)(M∗−ϰ)−1(M−M∗)(M−ϰ)−1(M∗−ϰ)=(M−ϰ)(M∗−ϰ)−1[(M−ϰ)−(M∗−ϰ)](M−ϰ)−1(M∗−ϰ)=(M−ϰ)−(M∗−ϰ)=M−M∗ |
and
Pe−i√sPe(M−ϰ)−1Pe=(Pe+ˆΣϰe)/2 |
it suffices to show that
(M(s)∗−ϰ)−1us=−(M(s)−ϰ)−1us, us∈PeK∖{0}. |
A straightforward calculation then yields
(M(s)∗−ϰ)−1(M(i)(s)−ϰ)(M(s)−ϰ)−1us=0, |
from where
(M(s)−ϰ)−1us∈ker(M(i)(s)−ϰ). |
The latter kernel is non-trivial only at the points
Note that, for a given graph
Pe(M−ϰ)−1Pe=12i√s(Pe−ˆΣe[Pe(M∗)−1MPe]−1), | (8.2) |
where we treat both
It follows from (8.1) and (8.2) that for given
\begin{aligned} P_{\rm e}(M^{({\rm i})}&-\varkappa)^{-1}P_{\rm e} = \bigl[P_{\rm e}-i\sqrt{s}P_{\rm e} (M-\varkappa)^{-1}P_{\rm e}\bigr]^{-1} P_{\rm e}(M-\varkappa)^{-1}P_{\rm e}\\ & = \frac{1}{i\sqrt{s}}\bigl(P_{\rm e}+\widehat{\Sigma}_{\rm e}[P_{\rm e}(M^*)^{-1}MP_{\rm e}]^{-1}\bigr)^{-1}\bigl(P_{\rm e}-\widehat{\Sigma}_{\rm e}[P_{\rm e}(M^*)^{-1}MP_{\rm e}]^{-1}\bigr) \\ & = \frac{1}{i\sqrt{s}}\biggl(2\bigl(P_{\rm e}+\widehat{\Sigma}_{\rm e}[P_{\rm e}(M^*)^{-1}MP_{\rm e}]^{-1}\bigr)^{-1}-I\biggr)P_{\rm e}. \end{aligned} \label{DtD} | (8.3) |
In particular, due to the property of analytic continuation, the expression
Definition 8.1. Given a partition
\Gamma_1^{{\mathcal V}_1}u_z: = \Bigl\{\sum\limits_{x_j \in V_m} \partial _n f(x_j)\Bigr\}_{V_m\in{\mathcal V}_1},\;\;\;\; \Gamma_0^{{\mathcal V}_1}u_z: = \bigl\{f(V_m)\bigr\}_{V_m\in{\mathcal V}_1}. |
The Robin-to-Dirichlet map of the set
Remark 8. The above definition is a natural generalisation of the corresponding definitions of Dirichlet-to-Neumann and Neumann-to-Dirichlet maps pertaining to the graph boundary, considered in e.g. [4], [38].
We argue that the matrix
We have thus proved the following theorem.
Theorem 8.2. The Robin-to-Dirichlet map for the vertices
The following definition, required for the formulation of the next theorem, is a generalisation of the procedure of graph contraction, which is well studied in the algebraic graph theory, see e.g. [57].
Definition 8.3 (Contraction procedure4 for graphs and associated quantum graph Laplacians). For a given graph
4 One of the referees pointed out that this procedure is sometimes referred to a "layer peeling". We have opted to keep the term "contraction" for it, in line with the terminology of the algebraic literature.
The matrix
Theorem 8.4. Suppose that the edge lengths of the graph
5 By renumbering if necessary, this does not lead to loss of generality.
Proof. Due to the assumption that the edge lengths of the graph
Further, consider the expression
f_1(\sqrt{z}; l_1, \dots, l_n; a) = \frac{{\mathcal D}^{(1)}(\sqrt{z}; l_1, \dots, l_n; a)}{{\rm det}\bigl(M^{({\rm i})}(z)-\varkappa\bigr)} |
Next, we multiply by
\lim\limits_{l_1\to0}f_1(\sqrt{z}; l_1, \dots, l_n; a) = \frac{\lim\limits_{l_1\to0}(-l_1){\mathcal D}^{(1)}(\sqrt{z}; l_1, \dots, l_n; a)}{\lim\limits_{l_1\to0}(-l_1){\rm det}\bigl(M^{({\rm i})}(z)-\varkappa\bigr)} \label{bulky_ratio} | (8.4) |
The numerator of (8.4) is easily computed as the determinant
As for the denominator of (8.4), we add to the second row of the matrix
-\cot(\sqrt{z}l_1)\cos(\sqrt{z}l_1)+\frac{1}{\sin(\sqrt{z}l_1)} = \sin(\sqrt{z}l_1), |
cancels out the singularity of all matrix elements of the second row at the point
\lim\limits_{l_1\to0}f_1(\sqrt{z}; l_1, \dots, l_n; a) = f_1^{(1)}(\sqrt{z}; l_2, \dots, l_n; \widetilde{a}), \label{imya} | (8.5) |
where
The main result of this section is the theorem below, which is a corollary of Theorems 8.2 and 8.4. We assume without loss of generality that
Theorem 8.5. Assume that the graph
\sum\limits_{l: V_l\in\gamma_m}a_m = \lim\limits_{\tau\to+\infty}\Biggl\{-\tau\Bigl(\sum\limits_{V_l\in\gamma_m}{\rm deg} (V_l)-2(N^{(m)}-1)\Bigr)-\frac{1}{f_1^{(l)}(i\tau)}\Biggr\}, |
where
f_1^{(l)}(\sqrt{z}): = \lim\limits_{l^{(l)}_{N^{(l)}-1}\to0}\dots\lim\limits_{l^{(l)}_2\to0}\lim\limits_{l^{(l)}_1\to0}f_1(\sqrt{z}), \label{last} | (8.6) |
where in the case
Proof. We first apply Theorem 8.2 to determine the Robin-to-Dirichlet map for the vertices
\frac 1 {f_1} = i\tau \biggl(-\sum\limits_{e_p\in E_1} \cot(i\tau l_p)+2 \sum\limits_{e_p\in L_1}\tan\frac{i\tau l_p}{2}\biggr)-{a_1} + o\bigl(\tau^{-K}\bigr) \label{alpha1_recovery_0} | (8.7) |
= -\tau\, {\rm deg}(V_1) -{a_1} + o\bigl(\tau^{-K}\bigr), \ \ \ \ \tau\to+\infty | (8.8) |
for all
In order to determine the coupling constant
a_1+a_2 = \lim\limits_{\tau\to+\infty}\Biggl\{i\tau \biggl(-\sum\limits_{e_p\in\widetilde{E}_1} \cot(i\tau l_p)+2 \sum\limits_{e_p\in\widetilde{L}_1}\tan\frac{i\tau l_p}{2}\biggr)-\frac{1}{f_1^{(1)}}\Biggr\} \\ = \lim\limits_{\tau\to+\infty}\Biggl\{-\tau \bigl({\rm deg} (V_1)+{\rm deg}(V_2)-2\bigr) -\frac{1}{f_1^{(1)}}\Biggr\}, | (8.9) |
where
Since the graph
Remark 9. 1. Notice that each step of the above iterative process generates a set of loops, which is treated according to the formula (8.7). Alternatively, these loops can be discarded by an elementary recalculation of the corresponding element of the Robin-to-Dirichlet map in the application of Theorem 8.4.
2. From the proof of Theorem 8.5 it actually follows that the inverse problem of determining matching conditions based on the Robin-to-Dirichlet map pertaining to any subset of graph vertices for any finite and compact graph
KDC is grateful for the financial support of the Engineering and Physical Sciences Research Council: Grant EP/L018802/2 "Mathematical foundations of metamaterials: homogenisation, dissipation and operator theory". AVK has been partially supported by a grant of the Ukrainian Ministry for Education and by the RFBR grant 16-01-00443-a. LOS has been partially supported by UNAM-DGAPA-PAPIIT IN105414 and SEP-CONACYT 254062.
We also thank the reviewers for a number of useful suggestions, which have helped us improve the manuscript.
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