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New York J. Math. 25(2019) 1350–1366.

Boundary-value problems and associated eigenvalue problems for systems

describing vibrations of a rotation shell

Mariam Arabyan

Abstract. In this paper, we consider boundary-value and eigenvalue problems for a system of differential equations with variable coefficients, some of which fail to be integrable in any neighborhood of zero. These problems describe vibrations of an inhomogeneous elastic shell.

We introduce certain functional weighted spaces which make it pos- sible to study and consequently to prove the existence and uniqueness of solutions of the boundary-value problem and the existence of solu- tions of the eigenvalue problem. The properties of the functions of these weighted spaces are also studied, and some embedding theorems are proved.

Contents

1. Introduction 1350

2. Basic notions and problem formulation 1351

3. Weighted spaces and embedding theorems 1353

4. On the existence and uniqueness of generalized solution of the

boundary-value problem 1360

5. On the existence of solutions of the eigenvalue problem 1362

6. Conclusion 1365

Acknowledgement 1365

References 1365

1. Introduction

Weighted spaces and their embedding theorems play a prominent role in the theory of degenerate elliptic equations. For such equations it is possible to give an exact formulation of boundary-value problems and to obtain nec- essary and sufficient conditions for the solvability of several boundary-value problems [9, 10, 11]. Functional weighted spaces play an important role in

Received September 10, 2018.

2010Mathematics Subject Classification. 34B05, 46E20.

Key words and phrases. Degenerate elliptic system, functional weighted spaces, em- bedding theorems, boundary-value problem.

ISSN 1076-9803/2019

1350

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proving the existence and uniqueness of solutions of boundary-value prob- lems and the existence of solutions of the eigenvalue problem, as well as in establishing the stability of the solution in the sense of the energy integral as the boundary values are varied [1, 3, 6, 9, 10, 11, 12, 13, 14, 15].

With this paper we try to establish the advantages of using the weighted Sobolev and weighted Lebesgue spaces in the boundary-value and eigenvalue problems. Here we consider boundary-value and eigenvalue problems for a system of differential equations with variable coefficients, some of which fail to be integrable in any neighborhood of zero. The motivation for the study of the shell vibration problem arises primarily from the association of this problem with different optimal control problems. The innovation of this paper is the introduction of certain functional weighted spaces and in studying their properties in order to prove existence and uniqueness results for the above mentioned boundary-value and eigenvalue problems.

It is worth mentioning that the main result of the paper is the key to derive the continuous dependence of the eigenvalues and eigenfunctions on the control perturbations as well as to prove the existence of solutions of the optimal control problems (see, e.g., [2]).

2. Basic notions and problem formulation

Let us start with an eigenvalue problem of the thin shell theory in the following formulation. Under certain assumptions, the transverse vibrations of the rotation shell (see Fig. 1) are described by the following system of differential equations [7, 8, 16, 17]

(Lu)1 ≡ rDW0000

+

νD0−D r

W0

0

+ (f0ϕ)0 =λrhρW, (2.1) (Lu)2 ≡ arϕ00

−a r +νa0

ϕ−f0W0 = 0, (2.2) whereW andϕare the unknowns, and u= (W, ϕ).

Below we will verify that each equation here contains a coefficient which is nonintegrable in any neighborhood of 0.

Let us mention that in the case when the coefficients of the system of dif- ferential equations (2.1)–(2.2) are integrable then the existence and unique- ness of the solution of the system are solved in the general theory (see, e.g.

[5]).

Now let us describe the quantities in the system of differential equations (2.1)–(2.2):

The variabler∈[0, b] indicates the current radius;

W(r) is the amplitude of the middle surface point displacements;

ϕ(r) characterizes the tangential displacement;

f(r) defines the shape of the middle surface of the rotation shell;

ρ(r)>0 is the specific weight of the shell material;

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h(r) is the given thickness of the shell satisfying the condition

0< h0≤h(r)≤h1. (2.3) Finally, D(r) is the bending stiffness, D(r)≥D0>0, determined by

D(r) =Eh3(r)/ 12 1−ν2

, a(r) = 1/(Eh(r)), (2.4) where b=const,b >0,E >0 is Young’s modulus and ν,−1< ν <0.5, is Poisson’s ratio of the shell material.

Notice that in the differential equation (2.2) the coefficient of the unknown ϕis nonintegrable in [0, b] due to the termar there. Here we take into account also the relations (2.3) and (2.4).

Notice also that in the same way in the differential equation (2.1) the coefficient of W0, i.e., the expression νD0Dr0

, as well as the coefficient of W00, i.e., the expression νD0Dr is nonintegrable. Here we use the well known fact that r1α is nonintegrable in [0, b] if and only ifα≥1.

6z

θ

x y

s +

6

? r

b

f(r)

Fig. 1. The rotation shell

The eigenvalue problem is the system of equations (2.1), (2.2) together with the following boundary conditions for a rigidly supported shell:

W0

r=0 = 1 r

rDW000

+

νD0− D r

W0

r=0

= 0, W|r=b =−D

W00+νW0 r

r=b

= 0, (2.5)

a(νϕ−rϕ0)

r=0 = a(νϕ−rϕ0)

r=b = 0.

The eigenvalue problem (2.1)–(2.5) can be associated with different optimal control problems [2, 4, 18].

In order to study the eigenvalue problem, we need to study the following problem:

(Lu)1=f1 (2.6)

(Lu)2=f2 (2.7)

and boundary conditions (2.5).

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The first question that arises in the study of the problems (2.1)-(2.5) and (2.5)-(2.7) is how we can treat their solution. In fact, some of the system coefficients fail to be integrable in any neighborhood of zero. Therefore, a thorough analysis is required. For this purpose, we introduce specific weighted spaces in the next section.

3. Weighted spaces and embedding theorems

As is customary, we denote by L1,loc[0, b] the space of functions that are Lebesgue integrable on any segment contained strictly inside the segment [0, b], and byL2[0, b] the space of functions, the square of which is integrable on [0, b]. We denote by v0 the generalized derivative ofv. Let us introduce the following weighted Hilbert spaces with the indicated inner products:

hu, viH2 r =

b

Z

0

ru00v00+u0v0 r +uv

dr,

hu, viH1 r =

b

Z

0

ru0v0+uv r

dr and associated norms:

kukH2

r = hu, uiH2 r

1/2

, kukH1

r = hu, uiH1 r

1/2

. It should be noted thatHr2[0, b] consists of functions for which √

r v00,v0r, v ∈ L2[0, b], v, v0, v00 ∈ L1,loc[0, b], while Hr1[0, b] consists of functions for which vr,√

r v0 ∈L2[0, b],v, v0 ∈L1,loc[0, b].

Lemma 3.1. The spaces Hr2[0, b] and Hr1[0, b]are Hilbert spaces.

Proof. First, we prove the completeness of Hr2[0, b]. Consider a Cauchy sequence {vn}n=1 ⊂Hr2[0, b].

From this we have Zb

0

(vn−vm)2dr→0 and Zb

0

v0n

√r − vm0

√r 2

dr→0 as n, m∈ ∞. (3.1) Furthermore, from the completeness of the space L2[0, b] it follows that there exist functionsv, u∈L2[0, b] such that

b

Z

0

(v−vn)2dr→0 and

b

Z

0

u− vn0

√r 2

dr→0 as n→ ∞. (3.2)

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Next, let us set v=√

ru. We have that

b

Z

0

v2 r dr=

b

Z

0

u2dr <+∞, i.e., vr ∈L2[0, b]. But then from (3.1) it follows that

b

Z

0

(v−v0n)2

r dr→0 for n→ ∞. (3.3)

Now, let us show that v = v0. Since vn ∈ Hr2[0, b], vn, vn0 ∈ L1,loc[0, b].

Therefore, we have

b

Z

0

vnϕ0dr=−

b

Z

0

vn0ϕ dr for allϕ∈C0[0, b]. (3.4) It is easy to see that

b

Z

0

v0n−v ϕ dr

=

b

Z

ε

vn0 −v ϕ dr

6

6b1/2

b

Z

ε

(v0n−v)2

r dr

1/2

b

Z

ε

ϕ2dr

1/2

→0 for n→ ∞ and allϕ∈C0[0, b]. (3.5) Similarly, from (3.1) we obtain that

b

Z

0

(vn−v)ϕ0dr

→0 for n→ ∞for allϕ∈C0[0, b]. (3.6) By using the relations (3.5), (3.6), and by taking into account the equality (3.4) we get

b

Z

0

0dr=−

b

Z

0

vϕ dr.

Hence,v =v0.

Next, by taking into account the relations (3.2) and (3.3) we conclude that

b

Z

0

(v−vn)2+(v0−vn0)2 r

!

dr→0 as n→ ∞. (3.7)

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It can be proved in a similar fashion that

b

Z

0

r v00−vn002

dr→0 for n→ ∞.

This, together with the relation (3.7), establishes the completeness of the space Hr2[0, b].

In the same manner we can prove thatHr1[0, b] is a Hilbert space.

It should be noted that in addition to being complete these weighted spaces have a number of other remarkable properties.

Theorem 3.1. We have the following embeddings

Hr2[0, b]⊂H2[δ, b], Hr1[0, b]⊂H1[δ, b]

and estimates

kukH2[δ,b]6C1kukH2

r[0,b], (3.8)

kvkH1[δ,b]6C1kvkH1

r[0,b], (3.9)

where u∈Hr2[0, b], v∈Hr1[0, b]and C1= (max{1/δ, b,1})1/2, δ >0.

Proof. Let us establish the estimate (3.8) which yields the embedding Hr2[0, b]⊂H2[δ, b].

It is easy to see that (u0)2

r 6 1

δu02 and ru002

6bu002 for allr∈[δ, b].

From this and the finiteness of

b

Z

δ

u2+ 1

δu02+bu002

dr

we find that u ∈ H2[δ, b] and that the estimate (3.8) holds. The esti- mate (3.9) and therefore, the embedding Hr1[0, b] ⊂H1[δ, b] can be proved

similarly.

Theorem 3.2. Each function u ∈ Hr2[0, b] can be associated with a func- tion on [0, b] that is continuously differentiable. Likewise each function v ∈ Hr1[0, b] determines a continuous function on [0, b]. Further the esti- mates

max

[0,b]

|u0(r)|+|u(r)|

6C2kukH2

r , u0(0) = 0 and (3.10) max[0,b] |v(r)|6

5kvkH1

r , v(0) = 0, (3.11)

are satisfied, where C2 =√

5 + max(b+4b, b2+ 1)1/2

.

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Proof. Consider an arbitrary function u ∈ Hr2[0, b]. Theorem 3.1 implies thatu∈H2[δ, b]. Hence, the functionu(r) can be associated with a contin- uously differentiable function on [δ, b].

Evidently, we have that u02(r)−u02(b)

=

b

Z

r

u020

=

b

Z

r

2u0u00

6

6

b

Z

r

u02

ξ +ξu002

dξ6kuk2H2 r[0,b].

(3.12)

Further, note that 2u0u00 ∈ L1,loc[0, b], which implies that

b

R

r

2u0u00dξ is absolutely continuous. Hence, the limit lim

r→0 b

R

r

2u0u00dξ= lim

r→0(u02(r)−u02(b)) exists.

Sinceu∈C1[δ, b], we conclude that the limit lim

r→0u02(r) exists. This implies that the functionu02(r) is continuous on [0, b]. Furthermore, for anyτ, r∈ b

2, b

we get

u02(r)62u02(τ) + 2

 Zr

τ

u00

2

62bu02(τ) τ + 2

Zb

b 2

ξu002dξ.

This implies that

u02(r)64

b

Z

b 2

u02

ξ +ξu002

dξ and therefore from the estimate (3.12) we obtain

max

[0,b]

u02(r)

6kuk2H2

r[0,b]+u02(b)65kuk2H2 r[0,b]. In the same way, we derive

max[0,b]

u2(r)

6max(b+4

b, b2+ 1)

b

Z

0

u2+u02 ξ

dξ.

Thus the inequality in the relation (3.10) holds with C2 =

√ 5 +

max{b+ 4

b, b2+ 1}

1/2

.

Next, we prove that u0(0) = 0. Assume to the contrary that u0(0)6= 0. In

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view of continuity of u02 we have lim

r→0u02(r) =a26= 0. This implies that for any ε >0 there exists δ >0 such that for all r,06r6δ,u02(r)> a2−ε.

Setε= a22, then

δ

Z

0

u02(r)

r dr > a2 2

ε

Z

0

dr

r = +∞, which is a contradiction. Thus proves thatu0(0) = 0.

The second part of Theorem 3.2 can be proved similarly.

We denote by K[0, b] the space of functions in C[0, b] whose deriva- tives vanish in a neighborhood of 0, and we denote by M[0, b] the space of functions in C[0, b] that vanish in a neighborhood of 0.

Lemma 3.2. The spaceK[0, b]is dense in Hr2[0, b]and the space M[0, b]is dense in Hr1[0, b].

Proof. If v ∈Hr2[0, b], then v0 ∈ Hr1[0, b]. By Theorem 3.2, v0(0) = 0 and by Theorem 3.1 for any δ >0 we have that u=v0 ∈H1[δ/2, b]. But then, in view of the density of the space C[δ/2, b] in H1[δ/2, b], there exists a sequence {un}n=1⊂C[δ/2, b] such that

ku−unkH1[δ/2,b]→0 for n→ ∞. (3.13) The functionsunare defined on [δ/2, b]. We extend them to functionswn(r) defined on all of [0, b] as follows (see Fig. 2):

wn(r) =





0, 06r6δ

un(2δ)r−δ

δ , δ6r 62δ un(r), 2δ6r6b

- 6

wn(r)

0 δ/2 δ b

un(r)

r .

Fig. 2. Graph of wn

Note that wn ∈H1[0, b], but wn ∈/ C[0, b]. For the validity of the first statement of Lemma 3.2 we only need to replace the functions wn with functions belonging to C[0, b]. In view of what was proved above, there exists a sequence {znm}m=1⊂C[0, b] such that

kwn−znmkH1[0,b]→0 for m→ ∞ (3.14)

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for a fixedn, where

znm(r) = 0 ∀r: 06r6δ/2. (3.15) It is easy to see thatznm ∈Hr1[0, b] and the following inequality holds:

ku−znmk2H1

r[0,b]=ku−znmk2H1

r[0,δ/2]+ku−znmk2H1

r[δ/2,b]6 6ku−znmk2H1

r[0,δ/2]+ 3ku−unk2H1

r[δ/2,b]+ + 3kun−wnk2H1

r[δ/2,b]+ 3kwn−znmk2H1

r[δ/2,b]. (3.16) We have that

kun−wnk2H1

r[δ/2,b]62kunk2H1

r[δ/2,2δ]+ 2

un(2δ)r−δ δ

2 Hr1[δ,2δ]

6 64kuk2H1

r[δ/2,2δ]+ 4ku−unk2H1

r[δ/2,δ]+

+ 10 u2(2δ) + (u(2δ)−un(2δ))2

. (3.17) By the well-known embedding theorem (H1[0, b]⊂C[0, b]), we have

|u(2δ)−un(2δ)|6max

[δ,2δ]

|u(r)−un(r)|6 6

max

δ,1

δ 1/2

ku−unkH1[δ,2δ]= 1

δ1/2 ku−unkH1[δ,2δ], for sufficiently samll δ.

By taking into account the relations (3.15)-(3.17), this yields ku−znmk2H1

r[0,b]612kuk2H1

r[0,2δ]+ 15ku−unk2H1

r[δ/2,b]+ + 30

u2(2δ) +1

δku−unk2H1[δ,2δ]

+ 3kwn−znmk2H1

r[δ/2,b]. (3.18) Next we prove that for any ε > 0 there exists δ0 > 0 such that for any δ,0< δ6δ0, we have

kuk2H1

r[0,2δ]< ε and u2(2δ)< ε. (3.19) Indeed, the first inequality follows from the absolute continuity of the Lebesgue integral and the second inequality follows from the continuity of u and the equalityu(0) = 0 proved above.

Let us fix a δ1,0 < δ1 6 δ0. By using the relation (3.13), let us choose N01, ε) such that for anyn, n>N0, the following estimate holds:

ku−unk2H11/2,b]< εδ1. (3.20) Next we fix an n1, n1 > N0. By the relation (3.14) we can choose M0 = M0(n1, δ1, ε) such that for anym, m>M0, we have

kwn−znmk2H1[0,b]< ε. (3.21)

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By using this and the relations (3.18)-(3.20) we get ku−znmkH1

r[0,b]→0 for m→ ∞.

Since v0 ∈ Hr1[0, b], therefore, in view of what was proved above we have that there exists a sequence zm∈C[0, b] such that,

v0−zm

Hr1[0,b]→0 for m→ ∞. (3.22)

We define

ym(r) =

r

Z

0

zm(ξ)dξ+v(0) (3.23)

and prove that they are the desired ones.

Obviously,

y0m(r) =zm(r) ∀r ∈[0, b]. (3.24) This means that ym∈C[0, b]. From the relation (3.23) we obtain

|v(r)−ym(r)|=

r

Z

0

v0−zm (ξ)dξ

6b

b

Z

0

(v0−zm)2

r dr

1/2

. This, in view of (3.22) and (3.24), implies

kv−ymkH2

r[0,b]→0 for m→ ∞.

The first statement of Lemma 3.2 is proved. The second statement can be

proved similarly.

In order to investigate the smoothness properties of a generalized solution of boundary-value or spectral problems, we need to introduce the following weighted spaces ˜Hr2[0, b], Hr3[0, b] with the inner products:

hu, viH˜2 r =

Zb

0

ru00v00+u0v0+uv r2

dr,

hu, viH3 r =

Zb

0

ru000v000+u00v00+u0v0 r2 +uv

dr,

respectively. SetkvkH˜2 r =

hv, viH˜2 r

1/2

, kvkH3

r = hv, viH3 r

1/2

. Thus we have

r2[0, b] = n

v :v, v0, v00∈L1,loc[0, b],kvk2H˜2

r <+∞o , Hr3[0, b] =

n

v :v, v0, v00, v000 ∈L1,loc[0, b],kvk2H3

r <+∞o . In the same way as in Lemma 3.1, we can prove the following Lemma 3.3. The spaces H˜r2[0, b], Hr3[0, b]are complete.

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Below, in the next three lemmas we present some embedding properties of the functions from the weighted spaces Hr2[0, b],H˜r2[0, b], Hr3[0, b].

Lemma 3.4. The ball S = n

u(r) :u(r)∈Hr2[0, b],kukH2 r ≤R

o

is precom- pact in the space L2[0, b].

Proof. It is easily seen that for any function u∈S we have that

I(h) :=

b

Z

0

(u(r+h)−u(r))2 dr=

b

Z

0

r+h

Z

r

u0(ξ)dξ

2

dr≤

b

Z

0

r+h

Z

r

ξ dξ·

r+h

Z

r

(u0(ξ))2

ξ dξ

 dr≤hb2R2.

ThereforeI(h)→0 as h→0. Notice that we have

b

R

0

u2dr≤R2 for any u ∈ S. Hence, equicontinuity and uniform boundedness of the set S are established. Therefore, by the Riesz-Frechet-Kolmogorov theorem, the ball

S is precompact.

Similarly we can prove the following lemmas.

Lemma 3.5. The ball S = n

u(r) :u(r)∈Hr1[0, b],kukH1 r ≤R

o

is precom- pact in the space L2[0, b].

Lemma 3.6. The ball S˜= n

u(r) :u(r)∈H˜r2[0, b],kukH˜2 r ≤R

o

is precom- pact in the spaceHr1[0, b]and the ballS=

n

u(r) :u(r)∈Hr3[0, b],kukH3 r ≤R

o is precompact in the space Hr2[0, b], respectively.

4. On the existence and uniqueness of generalized solution of the boundary-value problem

Next, let us turn to the problem (2.6)–(2.7) with boundary conditions (2.5).

Letp(r) =f0(r) andV be the following linear subspace of the product space Hr2×Hr1:

V =

v: v= (v1, v2)∈Hr2×Hr1, v1(b) = 0 . For the norm inV we define:

kvkV = kv1k2H2

r +kv2k2H1 r

1/2

.

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Let us consider the following bilinear form in the spaceV:

B(u, v) =

b

Z

0

rDu001v100+ (D−νD0r)u01v10

r −pu2v01+ +aru02v20 + (a+νa0r)u2v2

r +pu01v2i

dr−aνu2v2|b0+νDu01v10

b 0, generated by the differential operator (2.6)–(2.7) and boundary conditions (2.5).

Now we are in a position to present the first of one main results:

Theorem 4.1. Given functions D(r), D(r)−νD0(r)r, a0(r), h(r), ρ(r) ∈ L[0, b], D(r)∈L1[0, b]such that D(r)>D0 >0, D(r)−νD0(r)r>D10>

0, a(r) > a0 > 0, h(r) > h0 > 0, ρ(r) > ρ0 > 0. Then for any function f = (f1, f2), f1, f2 ∈L2[0, b] the problem

B(u, v) = (f1, v1)L

2 −(f2, v2)L

2 ∀v∈V (4.1)

has a unique solution u∈V. MoreoverkukV satisfies kukV−1

kf1k2L

2 +kf2k2L

2

1/2

. (4.2)

Furthermore, the solution u satisfies the following boundary conditions u1(b) =u01(0) =u2(0) = 0, (4.3) in the classical sense.

Proof. In view of the completeness of the spaces Hr2,Hr1 and the estimate (3.10) we obtain the closedness of V.

Now, let us prove that the bilinear formB(u, v) isV-elliptic, i.e.,

B(v, v)>αkvk2V ∀v∈V, (4.4) whereα= min

D0,D210,Db103 ,(1−ε)a0,1−νε2

and ν2 < ε <1.

It is easy to see that

B(v, v) =

b

Z

0

rDv0012+ (D−νD0r)v012

r +arv202+ (a+νa0r)v22 r

dr−

−aνv22

b

0+νDv102

b 0.

(4.5)

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By simplifying some members ofB(v, v) we obtain

b

Z

0

arv022+ (a+νa0r)v22 r

dr−aνv22

b 0=

=

b

Z

0

arv022+ (a+νa0r)v22

r −a0νv22−2aνv2v02

dr>

>

b

Z

0

(1−ε)arv022+a

1−ν2 ε

v22 r

dr. (4.6)

Since v1(r) =−

b

R

r

v10(ξ)dξ we have

b

Z

0

v21dr6

b

Z

0

b

Z

0

ξ dξ

b

Z

0

v012 ξ dξ

 dr6 b3 2

b

Z

0

v102

r dr. (4.7)

By takingν such thatν2 < ε <1 in relations (4.5)–(4.7) we obtain(4.4).

It is easy to prove the boundedness ofB(u, v) and of the linear functional (f1, v1)L2−(f2, v2)L2 on V, i.e.,

|B(u, v)|6NkukV kvkV , |(f1, v1)L2 −(f2, v2)L2|6LkvkV , whereN and Lare constants.

Therefore, by the well-known Lax-Milgram Lemma [5] there exists a unique solution of the problem (4.1). Thus the estimate (4.2) is true.

The last statement (4.3) of Theorem 4.1 follows from the statements (3.10) and (3.11) of Theorem 3.2.

Thus Theorem 4.1 is proved.

5. On the existence of solutions of the eigenvalue problem Let us consider the following eigenvalue problem

B(u, v) =λ(rhρu1, v1)L2 ∀v∈V. (5.1) Consider an arbitrary function ψ ∈ L2[0, b]. Then on setting f =

rhρ ψ 0

in (4.1) we get the following relation

B(u, v) = (p

rhρψ, v1)L2 ∀v∈V. (5.2) From this and Theorem 4.1 we have that u ∈ V is determined uniquely.

Thus, the operator G: ψ ∈ L2[0, b]→ u =Gψ ∈ V is well defined and in view of (4.2), the following estimate holds:

kukH2

r×Hr1 =kGψkH2

r×Hr1 ≤α−1

prhρ ψ L2

. (5.3)

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Next, we prove that the operator F1ψ= √

rhρ(Gψ)1, as an operator map- ping L2[0, b] → L2[0, b], is compact and self-adjoint. Let us substitute u = v01

and v = −v0

2

in (5.2). By adding the resulting equation we get

B1(Gψ, v) = (p

rhρψ, v1)L2 ∀v∈V, (5.4) where B1(u, v) is a symmetric, bilinear form already. Thus, the solution of the problem (5.2) is the solution of the equation (5.4). The converse is also true: the solution of (5.4) is the solution of (5.2).

The operator F1 defined onL2[0, b] can be represented as F1ψ=p

rhρ·I·(Gψ)1,

where I is an embedding operator fromHr2[0, b] to L2[0, b]. With the help of Lemma 3.4 we obtain that the operator I is compact. Next, from the estimate (5.3) we get that the operator (G)1is bounded. Thus, the operator I ·(G)1 is compact. From the symmetry and boundedness of the operator F1, we get that it is self-adjoint.

Let us consider the following eigenvalue problem:

F1ψ=µψ. (5.5)

We have the following

Lemma 5.1. There exist eigenvalues µ1, µ2, ..., µk, ..., µk→0, µk>0, of the operatorF1. Moreover, each eigenvalue has a finite multiplicity and the corresponding sequence of eigenfunctions ψk makes up a complete orthonor- mal system inL2[0, b].

Proof. Since the operator F1 is compact and self-adjoint we need to prove only thatF1ψ= 0 impliesψ= 0. Indeed, from√

rhρ(Gψ)1 = 0 we get that (Gψ)1= 0. Then, by substituting in (5.2) v=u=Gψ, we obtain

b

Z

0

aru022 + a+νa0ru22 r

dr−aνu22|b0 = 0.

Then by using the estimate (4.4) forv = (0, u2), we get αku2k2H1

r ≤0, i.e., u2 = 0. Since, we have that u1 = (Gψ)1 = 0, we get u = (u1, u2) ≡ 0.

Therefore, from (5.3) we obtain that √

rhρψ, v1

L2 = 0 for any v ∈ V. Now, let us prove that ψ= 0. Indeed, by taking into account thatv10(0) = v1(b) = 0, we get

0 =

b

Z

0

prhρψv1dr=

b

Z

0

r

Z

0

pξhρψ dξ

0

v1dr=

=

b

R

0

r R

b z

R

0

√ξhρψ dξ dz

v001dr.

(5.6)

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It is easily seen that v01

∈V, wherev100=

r

R

0 z

R

0

√ξhρψ dξ dz.By substituting

this in (5.6), we obtain the following

b

R

0

r R

0 z

R

0

√ξhρψ dξ dz 2

dr = 0, i.e.,

√rhρψ= 0 for any r∈[0, b]. Therefore,ψ= 0.

Denote by L2,rhρ the weighted space with the following norm kuk =

b

R

0

u2rhρ dr

!12

.Clearly L2 ⊂L2,rhρ.

Now we are in a position to present the second main result of this paper.

Theorem 5.1. Given the framework of Theorem 4.1, the following state- ments hold

(a) There exists a sequence of positive eigenvalues {λ1, λ2, ..., λk, ...} of the problem (5.1), with λk→+∞ f or k→ ∞.

(b) To each eigenvalue λk there corresponds only finite number of linear independent eigenfunctions from V.

(c) The system {u1k}k=1 of the first components of the eigenfunctions forms a complete orthonormal system with the weight rhρ.

(d) For any functionu∈L2,rhρ the following Fourier decomposition takes place in the L2,rhρ norm:

u=

X

k=1

aku1k

Proof. Suppose that µ is an eigenvalue of F1 and ψ is a corresponding eigenfunction, i.e., F1ψ =µψ. Then λ= µ1 is an eigenvalue andu=Gψ is a corresponding eigenfunction of the problem (5.1).

Indeed, we have that B(u, v) =B(Gψ, v) = (p

rhρ ψ, v1)L2 = 1

µ(rhρ(Gψ)1, v1)L2 =

=λ(rhρu1, v1)L2 ∀v∈V.

In the same way, we can prove that if λ is an eigenvalue and u is a corre- sponding eigenfunction of the problem (5.1), then µ = 1λ is an eigenvalue and ψ=√

rhρu1 is a corresponding eigenfunction of F1.

Thus, by taking into account Lemma 5.1, to complete the proof it remains to verify the positiveness of eigenvalues λk. Indeed,

αkuk2V ≤B(u, u) =λ(rhρu1, u1)L2.

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6. Conclusion

We introduced certain functional weighted spaces generated by an eigen- value problem describing vibrations of an elastic shell. We studied the properties of these spaces and proved a series of embedding results. As an application the existence and uniqueness of the generalized solution of the boundary-value problem (2.5)–(2.7) and the existence of generalized so- lutions of the eigenvalue problem (2.1)–(2.5) have been established.

Acknowledgement

We would like to thank the referee for many helpful suggestions.

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(Mariam Arabyan)Department of Informatics and Applied Mathematics, Yere- van State University, Yerevan, IN 0025, Armenia

[email protected]

This paper is available via http://nyjm.albany.edu/j/2019/25-54.html.

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