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JAMC

DOI 10.1007/s12190-010-0412-9

Study of the nodal feedback stabilization of a string-beams network

Kaïs Ammari·Michel Mehrenberger

Received: 29 October 2009

© Korean Society for Computational and Applied Mathematics 2010

Abstract We consider a stabilization problem for a string-beams network. We prove an exponential decay result. The method used is based on a frequency domain method and combine a contradiction argument with the multiplier technique to carry out a special analysis for the resolvent. Moreover, we give a numerical illustration based on the methodology introduced in Ammari and Tucsnak (ESAIM Control Optim. Calc.

Var. 6, 361–386,2001) where the exponential stability for the closed loop problem is reduced to an observability estimate for the corresponding uncontrolled system combined to a boundedness property of the transfer function of the associated open loop system.

Keywords Numerical stabilization·Feedback stabilization·String-beams network Mathematics Subject Classification (2000) 35B40·93D15·93D20·93B07· 65N25

1 Introduction and main results

We study a network ofNbeams and one string, whereN≥1, see [17] (pages: 80–81, for example) concerning the model. More precisely we consider the following initial

K. Ammari (

)

Département de Mathématiques, Faculté des Sciences de Monastir, 5019 Monastir, Tunisia e-mail:[email protected]

M. Mehrenberger

Institut de Recherche Mathématique Avancée, Université de Strasbourg, 7 rue René Descartes, 67084 Strasbourg, France

e-mail:[email protected]

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and boundary value problem:

(S)

⎧⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎨

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

t2ux2u=0, x(0, ), t2ui+x4ui=0, x(0, i),

xu(t,0)=tu(t,0), xui(t, i)=0, x3ui(t, i)=tui(t, i),

x2ui(t,0)=0, u(t, )=ui(t,0),

N j=1

x3uj(t,0)+xu(t, )=0, u(0, x)=u0(x), tu(0, x)=u1(x), x(0, ),

ui(0, x)=u0i(x), tui(0, x)=u1i(x), x(0, i), t(0,), for alli=1, . . . , N,wherei denote the length of the beam numberi andis the length of the string.

In the last years an important literature was devoted to the controllability and sta- bilizability of string network or beam network, see [1–3,5,6,8–11,13,14] and [16].

In this paper, we study a stabilization problem for a string-beams network. By a resol- vent method, we prove an exponential stability result of the energy of the system(S).

Moreover, we give some numerical study for the stabilization problem, the method used is based an the methodology introduced in Ammari and Tucsnak [7] where the exponential stability for the closed loop problem is reduced to an observability esti- mate for the corresponding uncontrolled system combined to a boundedness property of the transfer function of the associated open loop system.

The paper is organized as follows. In this section we give precise statements of the main results. Section2contains the proof of the main results. Numerical illustration is given in the last section.

We define the energy ofu=(u, u1, . . . , uN)solution of(S)at instanttby

ES(t )=1 2

0

|∂tu(t, x)|2+ |xu(t, x)|2 dx

+1 2

N i=1

i

0

|tui(t, x)|2+x2ui(t, x)2

dx. (1.1)

LetH= [V×(L2(0, )×N

i=1L2(0, i))]t and let the topological supplementH˜of Span(0)inH, i.e.,

Span(0)⊕ ˜H=H, (1.2)

where0=(1, . . . ,1,0, . . . ,0)tand

V =

φH1(0, )× N i=1

H2(0, i), ∂xφi(i)=0, φ ()=φj(0),j=1, . . . , N

.

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Then, the wellposedness space for(S)isH, equipped with the inner product˜ (y, v) ;(z,w)) H˜ =

0

dy dx

dz dx+vw

dx+

N j=1

j

0

d2yj

dx2 d2zj

dx2 +vjwj

dx.

(1.3) Denote

D(AS)

=

(u, v)t

V

H2(0, )× N i=1

H4(0, i)

×V t

∩ ˜H, ∂xu(0)=v(0),

x3ui(i)=vi(i), ∂x2ui(0)=0, i=1, . . . , N, N j=1

x3uj(0)+xu()=0

. (1.4) The corresponding operatorASis defined by

AS(u, v)t=

v, ∂x2u,x4u1, . . . ,x4uN t,(u, v)tD(AS). (1.5) For the well-posedness of the system (S), It can be seen easily that H˜ endowed with this inner product, given by (1.3), is a Hilbert space. We show that the oper- ator(AS,D(AS))defined by (1.4) and (1.5) generates a contraction semigroup on the Hilbert spaceH˜.

We have the following fundamental result.

Theorem 1.1 The operator(AS,D(AS))generates a strongly continuous contrac- tion semigroup(TS(t ))t0onH.˜

Proof To show the dissipativity ofAS, let(u, v)tD(AS). By the definition ofAS

we have

AS(u, v) t, (u, v)t

H

=

v, ∂x2u,x4u1, . . . ,x4uN t, (u, v) t

H

=

0

xv∂xu dx+

0

x2uv dx+ N j=1

j

0

x2ujx2vjdxj

0

x4ujvjdx

= −

0

v∂x2u dx+

0

x2uv dx+ N j=1

j

0

x4ujvjdxj

0

x4ujvjdx

+v()∂xu()v(0)∂xu(0)

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+ N j=1

x2uj(j)∂xvj(j)x2uj(0)∂xvj(0)x3uj(j)vj(j)

+x3uj(0)vj(0) .

Since x2uj(0)=0, ∂xvj(j)=0, vj(0)=v(), ∂x3uj(j)=v(j), j =1, . . . , N,

xu(0)=v(0)andxu()= −N

j=1x3uj(0), we get AS(u, v) t, (u, v)t H= −|v(0)|2

N j=1

|vj(j)|2,

which shows thatASis dissipative.

Next, we show that(λIAS)is surjective for someλ >0.

Given a vector(f , g) tH, we look for(u, v) tD(AS)such that (λIAS) (u, v)t =

f , g t. (1.6)

Hence by the definition ofAS, we obtain

⎧⎪

⎪⎪

⎪⎪

⎪⎩

λuv=f, λujvj=fj, λvx2u=g,

λvj+x4uj=gj, j=1, . . . , N.

This is clearly equivalent to

⎧⎪

⎪⎪

⎪⎪

⎪⎩

v=λuf, vj=λujfj, λ2ux2u=g+λf,

λ2uj+x4uj=gj+λfj, j=1, . . . , N.

Multiplying the third and the fourth identities bywV, and summing we get

0

2ux2u)w dx+ N j=1

j

0

2uj+x4uj)wjdx

=

0

(g+λf )w dx+ N j=1

j

0

(gj+λfj)wjdx,wV . By formal integrations by parts, the left hand side is equal to

0

2uw+xu∂xw)dx+ N j=1

j

0

2ujwj+x2ujx2wj) dx

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xu()w()+xu(0)w(0) +

N j=1

x3uj(j)wj(j)x3uj(0)wj(0)x2uj(j)∂xwj(j)

+x2uj(0)∂xwj(0) . We thus find that

(u, w) =F (w),wV , (1.7) where

(u, w) =

0

xu∂xw+λ2uw (x) dx+ N j=1

j

0

(∂x2ujx2wj+λ2ujwj) dx

+λu(0)w(0)+λ N j=1

uj(j)wj(j)

and F (w) =

0

(g+λf )w dx+ N j=1

j

0

(gj+λfj)wjdx+f (0)w(0)+ N j=1

f (j)wj(j).

Sinceis a continuous bilinear coercive form on V andF is a continuous linear formV, by the Lax-Milgram lemma, problem (1.7) has a unique solutionu¯ ∈V. Using some integrations by parts, we easily check thatusatisfies

ux2u=g+λf,

λ2uj+x4uj=gj+λfj, j=1, . . . , N,

as well as we have setv=λuf,andvj=λujfj, j=1, . . . , N. This means that (1.6) holds and consequently,(λIAS)is surjective. The density ofD(AS)inH˜ is clear. Finally, the Lumer-Phillips theorem (see [21]) leads to the claim.

The above theorem provides the well-posedness of the evolution equation (S).

More precisely, for every (u0,u1)tH, the function (u(t ), ∂ tu(t )) t given by TS(t )(u0,u1)t is the mild solution of(S). In particular, for (u0,u1)tD(AS), the problem(S)admits a unique classical solution

(u, ∂ tu) tC([0,∞),D(AS))C1([0,∞),H).

The well-posedness part follows from Theorem1.1. In order to prove estimate (1.9) it suffices to remark that, by simple integrations by parts, it holds for regular solutions (i.e.(u, ∂ tu) tC([0,+∞);D(AS)). For mild solutions, we simply use the density ofD(AS)inH.

Thus, we have the following proposition.

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Proposition 1.2 The following assertions hold true

1. If(u0,u1)tHthen the problem(S)admits a unique solution

uC([0,+∞);V )C1

[0,+∞);L2(0, )× N i=1

L2(0, i)

such thatu(·,0), ui(·, i)H1(0, T ), T >0, i=1, . . . , N,and u(·,0)2H1(0,T )+

N i=1

ui(·, i)2H1(0,T )C(u0,u1)2H, (1.8)

for a constantC >0.

Moreoverusatisfies the energy identity:

ES(0)ES(t )= t

0

|∂tu(s,0)|2ds+ N

i=1

t

0

|∂tui(s, i)|2ds. (1.9)

2. The estimate limt→∞ES(t )=0 holds true for any finite energy solution of(S).

Our main result can now be stated as follows.

Theorem 1.3 There exist constantsC, w >0 such that for all(u0,u1)tHthe so- lutionuof the system(S)satisfies:

ES(t )CewtES(0),t >0. (1.10)

2 Proof of the main result

In order to prove the strong stability we need to verify the following property.

Lemma 2.1 The spectrum ofAScontains no point on the imaginary axis.

Proof SinceAS has compact resolvent, its spectrumσ (AS), only consists of eigen- values ofAS. We will show that the equation

ASz=iβz (2.1)

withz=(y, v)tD(AS)andβ=0 has only the trivial solution.

By taking the inner product of (2.1), withz∈ ˜Hand using ASz, z H= − |v(0)|2

N j=1

vj(j)2, (2.2)

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we obtain thatv(0)=0, vj(j)=0, j=1, . . . , N. From (2.1), we get iβ(y, v)t=(v, ∂ x2y,x4y1, . . . ,x4yN)t. Next, we eliminatev=iβyto get:

⎧⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎩

β2yd2y

dx2 =0, (0, ),

β2yj+d4yj

dx4 =0, (0, j), y()=yj(0),

N j=1

d3yj

dx3(0)+dy

dx()=0, d2yj

dx2(0)=0, y(0)=0, yj(j)=0, dy

dx(0)=0, dyj

dx (j)=0, d3yj

dx3(j)=0, j=1, . . . , N.

(2.3)

By a simple calculation we show that the above system only has trivial solution.

In fact, we have y(x)=Asin(βx), since y(0)=0 and −β2yddx2y2 =0. From

dy

dx(0)=0, we getA=0 and thus y(x)=0. This implies that yj(0)=0. We thus have

yj(0)=d2yj

dx2(0)=dyj

dx (j)=d3yj

dx3 (j)=0, (2.4) together with−β2yj+ddx4y4j =0. We can write

yj(x)=A1exp(i

βx)+A2exp(−i

βx)+A3exp(

βx)+A4exp(− βx).

By using the conditions (2.4), we getA1=A2=A3=A4=0, and thusz=0 Proof of Proposition1.2 As the imbedding ofD(AS)inHis obviously compact, in order to prove the energy identity it suffices to remark that they hold true for regular solutions (i.e.(u, ∂ tu)tC([0,+∞);D(AS))and to use the density ofD(AS)in H). Since AS is a maximal-dissipative operator inH, AS has no purely imaginary eigenvalues (see Lemma2.1), andAS has compact resolvent. Then, the strong sta- bility estimate at the end of Proposition1.2can be obtained by applying the result in

Sect. 5 of [18] (see also [19]).

Proof of Theorem1.3 By a classical result (see Huang [15] and Prüss [22]) it suffices to show thatAsatisfies the following two conditions:

ρ(AS)

iββ∈R

iR, (2.5)

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and

lim sup

|β|→+∞(iβIAS)1<, (2.6) whereρ(AS)denotes the resolvent set of the operatorAS.

By Lemma2.1the condition (2.5) is satisfied for all, j>0, j =1, . . . , N. Sup- pose that the condition (2.6) is false. By the Banach-Steinhaus Theorem (see [12]), there exist a sequence of real numbersβn→ ∞and a sequence of vectors Zn= yn

vn

D(AS)withZnH=1 such that

(iβnIAS)ZnH→0 asn→ ∞, (2.7) i.e.,

nynvnfn→0 inV , (2.8)

nvnd2yn

dx2gn→0 inL2(0, ), (2.9)

nvj,n+d4yj,n

dx4kj,n→0 inL2(0, j), j=1, . . . , N. (2.10) Our goal is to derive from (2.7) thatZnHconverges to zero, thus, a contradiction.

The proof is divided in three steps:

First step. We notice that from (2.2) we have (iβnIA)ZnH

(iβnIA)Zn, Zn H= |vn(0)|2+ N j=1

vj,n(j)2.

Then, by (2.7)

vn(0)→0, vj,n(j)→0, d3yj,n

dx3 (j)=vj,n(j)→0, dyn

dx (0)=vn(0)→0, j=1, . . . , N.

This further leads to

βnyn(0)= −ifn(0)ivn(0)→0, βnyj,n(j)= −ifj,n(0)ivj,n(0)→0,

j=1, . . . , N, (2.11)

due to (2.8) and the trace theorem.

Second step. We express now vn, vj,n in terms of yn, yj,n, j =1, . . . , N, from (2.8)–(2.10) and substitute it into (2.8)–(2.10) to get

βn2ynd2yn dx2

=gn+nfn, (2.12)

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βn2yj,n+d4yj,n

dx4

=kj,n+nfj,n, j=1, . . . , N. (2.13)

Next, we take the inner product of (2.12) with q(x)dydxn inL2(0, )whereq(x)C1([0, ])andq()=0. We obtain that

0

βn2ynd2yn

dx2

q(x)dy¯n

dx dx

=

0

(gn+nfn)q(x)dy¯n

dx dx

=

0

gnq(x)dy¯n dx dxi

0

qdfn

dx βny¯ndx

i

0

fn

dq

dx βny¯ndxifn(0)q(0)βny¯n(0). (2.14) It is clear that the right-hand side of (2.14) converges to zero sincef¯n, gnconverge to zero inH1andL2, respectively.

By a straight-forward calculation,

0

βn2ynqdy¯n dx dx

!

=1

2q(0)|βnyn(0)|2+1 2

0

dq

dx|βnyn|2dx and

0

d2yn

dx2 qdy¯n

dx dx

!

=1 2q(0)

dyn

dx(0) 2+1

2

0

dyn

dx 2dq

dxdx. (2.15) According to (2.11), we simplify (2.14), then take its real parts. This leads to

0

dq

dx|βnyn|2dx+

0

dq dx

dyn

dx

2dx→0. (2.16)

By takingq(x)=ex−−1,which satisfies|q(x)| ≤1, x∈ [0, ], we obtain that βnynL2(0,)→0, ""

""dyn dx

""

""

L2(0,)

→0, vnL2(0,)→0. (2.17)

Similarly, we take the inner product of (2.12) withqj(x)dydxj,n inL2(0, j)withqjC2([0, j])andqj(0)=0, j =1, . . . , N, then repeat the above procedure, this will give

j 0

dqj

dx |βny2,n|2dx+ j

0

3dqj dx

d2yj,n dx2

2

dx+2 j

0

d2yj,n dx2

d2qj dx2

dy¯j,n dx dx

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−2

d2yj,n dx2 (j)

2

qj(j)→0, j=1, . . . , N. (2.18)

By integrating by parts, we get j

0

dyj,n

dx

2dx= − j

0

yj,nd2yj,n

dx2 dxyj,n(0)dyj,n

dx (0)

= − j

0

yj,nd2yj,n

dx2 dxyn()dyj,n dx (0)

= − 1 n

j

0

vj,nd2yj,n

dx2 dx− 1 n

j

0

(iβnyj,nvj,n)d2yj,n

dx2 dx

dyj,n

dx (0)yn().

Then, from the boundedness ofvj,n,nyj,nvj,n, d

2yj,n

dx2 , inL2(0, j), (2.17) and (2.11), we have dydxj,n converges to zero inL2(0, j), j=1, . . . , N, which implies

j

0

dqj

dx |βny2,n|2dx+ j

0

3dqj

dx

d2yj,n

dx2

2

dx−2

d2yj,n

dx2 (j)

2

qj(j)→0,

j =1, . . . , N. (2.19)

Third step. Next, we show that d2yj,n

dx2 (j), j =1, . . . , N,converge to zero. We take the inner product of (2.13) with 1

φn1/2eφ1/2n hj(x) in L2(0, j) where φn =

|βn|, hj(x)=jx, j=1, . . . , N.

This leads to j

0

φn3/2eφ

1/2

n hjyj,n− 1 φ1/2n

eφ

1/2

n hjd4yj,n dx4

dx→0, j=1, . . . , N. (2.20) Performing integration by parts to the second term on the left-hand side of (2.20), we obtain

j

0

φn3/2eφ1/2n hjyj,n− 1 φ1/2n

eφ1/2n hjd4yj,n

dx4

dx

=

− 1 φn1/2

eφn1/2(jx)d3yj,n dx3

x=j

x=0

eφn1/2(jx)d2yj,n dx2

x=j

x=0

+

#

φ1/2n eφ

1/2

n (jx)dyj,n dx

$x=j

x=0

−%

φneφ

1/2

n (jx)yj,n

&x=j x=0 .

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Note thatyj,nk (0)is bounded fork≤3, sinceyj,nH4(0, j), thatφn→ ∞, and also that d3yj,n

dx3 (j)→0 andβndydxj,n(j)→0. We thus get that j

0

φn3/2eφ1/2n hjyj,n− 1 φn1/2

eφ1/2n hjd4yj,n dx4

dx

=d2yj,n

dx2 (j)+φnyj,n(j)+Rj,n, j=1, . . . , N, (2.21) whereRj,n→0, n→ +∞,j=1, . . . , N.Thus, according to (2.11), we simplify (2.21) to

d2yj,n

dx2 (j)→0, j=1, . . . , N.

Consequently we have:

j

0

dqj

dx |βnyj,n|2dx+ j

0

3dqj dx

d2yj,n dx2

2

dx→0, j=1, . . . , N. (2.22)

Finally, we chooseqj(x), j =1, . . . , N,so that dqdxj, j=1, . . . , N,is strictly nega- tive. This can be done by taking

qj(x)=ex−1, j=1, . . . , N.

Therefore, (2.22) implies βnyj,nL2(0,j)→0,

""

""

"

d2yj,n dx2

""

""

"

L2(0,j)

→0, j=1, . . . , N.

In view of (2.8), we also get

vj,nL2(0,j)→0, j=1, . . . , N,

which clearly contradicts the normalization conditionZnH˜ =1.

3 Numerical illustration

Another way to study the stabililization problem is to adopt the strategy introduced in Ammari and Tucsnak [7] where the exponential stability for the closed loop problem is reduced to an observability estimate for the corresponding uncontrolled system combined to a boundedness property of the transfer function of the associated open loop system. We give here some numerical illustration of this approach. A theoretical study remains to be done.

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3.1 Some background on a class of dynamical systems

LetH be a Hilbert space with the norm.H, and let A:D(A)H be a self- adjoint, positive and boundedly invertible operator. We introduce the Hilbert space H1

2 =D(A12), with the normz1

2 = A12zH. The spaceH1

2 is defined by duality with respect to the pivot spaceH.

Let the bounded linear operatorB:UH1

2, whereU is another Hilbert space which will be identified with its dual.

The system we consider is described by

¨

w(t )+Aw(t )+By(t )=0, w(0)=w0, w(0)˙ =w1, t∈ [0,∞), (3.1)

y(t )=Bw(t ),˙ t∈ [0,∞). (3.2)

The system (3.1)–(3.2) is well-posed:

For(w0, w1)H1

2 ×H,the problem (3.1)–(3.2) admits a unique solution wC([0,∞);H1

2)C1([0,∞);H )

such thatBw(·)Hloc1 (0,∞;U ). Moreover,wsatisfies the energy identity, for all t≥0

(w0, w1)2H1

2×H(w(t ),w(t ))˙ 2H1

2×H=2 t

0

""

""d

dtBw(s)""

""2

U

ds. (3.3) For (3.3) we remark that the mappingt→ (w(t ),w(t ))˙ 2H1

2×H is non-increasing.

Consider the initial value problem:

¨

ϕ(t )+Aϕ(t )=0, (3.4)

ϕ(0)=w0, ϕ(0)˙ =w1. (3.5)

It is well known that (3.4)–(3.5) is well posed inH1×H1

2 and inH1 2 ×H. Now, we consider the unbounded linear operator

Ad:D(Ad)H1

2 ×H

t

, Ad=

0 I

ABB

, (3.6)

where

D(Ad)= (u, v)tH1

2 ×H t, Au+BBvH, vH1 2

! .

The result below, proved in [7], shows that, under a certain regularity assumption, the exponential stability of (3.1)–(3.2) is equivalent to a strong observability inequality for (3.4)–(3.5). More precisely, we have:

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Theorem 3.1 (Ammari-Tucsnak [7]) Assume that for anyγ >0 we have sup

Reλ=γ

""

"λB2I+A)1B"""

L(U )<. (3.7)

Then, there exist constantsC, δ >0 such that for allt >0 and for all(w0, w1)H1

2 ×H, we have

(w(t ),w(t ))˙ H1

2×HCeδt(w0, w1)H1 2×H,

if and only if there exist constantsT , C >0 such that: for all(w0, w1)H1×H1 2, we have

""Bϕ(t )""

L2(0,T;U )C(w0, w1)H1

2×H, (3.8)

whereϕ(t )is the solution of the system (3.4)–(3.5).

We will study the inequalities (3.7) and (3.8) numerically.

3.2 Transfert function LetA:VV,

A=

⎝−dxd22 0 0

d4

dx4 i=1,...,N

,

D(A)=

⎧⎪

⎪⎨

⎪⎪

y¯t=(y, y1, . . . , yN)tVt

dy

dxH1(0, ),ddx2y2iH2(0, i),

dy

dx(0)=0,dydxi(i)=0,ddx2y2i(0)=0,

d3yi

dx3(i)=0,N

i=1 d3yi

dx3(0)+dydx()=0

⎫⎪

⎪⎬

⎪⎪

⎭ andB:RN+1V, Bk¯t =ADk¯t,∀¯k=(k, k1, . . . , kN)∈RN+1, where V is the dual space ofV obtained by means of inner product inL2(0, )×N

i=1L2(0, i), Dk¯t= ¯W=(W, W1, . . . , WN)t is the solution of

⎧⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎪

⎪⎩ d2W

dx2 =0, (0, ), d4Wi

dx4 =0, (0, i), dWi

dx (i)=0, d2Wi

dx2 (0)=0, W ()=Wi(0),

dW

dx (0)=k, d3W

dx3(i)=ki, N

i=1

d3Wi

dx3 (0)+dW

dx ()=0.

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