PII. S0161171201007128 http://ijmms.hindawi.com © Hindawi Publishing Corp.
BOUNDARY CONTROL PROBLEM WITH AN INFINITE
NUMBER OF VARIABLES
HUSSAIN A. EL-SAIFY
(Received 15 March 2001)
Abstract.Using a previous result by Gali and El-Saify (1983) and the theory of Kotarski (1989), and Lions (1971), we formulate the boundary control problem for a system gov-erned by Neumann problem involving selfadjoint elliptic operator of 2th order with an infinite number of variables. The inequalities which characterize the optimal control in terms of the adjoint system are obtained, it is studied in order to construct algorithms attainable to numerical computations for the approximation of the control.
2000 Mathematics Subject Classification. 49J20, 93C20.
1. Functions spaces. This section covers the basic notations, definitions, and prop-erties which are necessary to present this work.
Let(pk(t))∞k=1be a sequence of weights, fixed in all that follows, such that
0< pk(t)∈C∞
R1,
R1pk(t)dt=1, (1.1)
with respect to it we introduce on the regionR∞=R1×R1×···,the measuredρ(x) by setting [1,2,3],
dρ(x)=p1x1dx1⊗p2x2dx2⊗···, R∞x=xk∞k=1, xk∈R1. (1.2)
OnR∞we construct the spaceL2(R∞, dρ(x))with respect to this measure [3], that is, L2(R∞, dρ(x))is the space of quadratic integrable functions onR∞. We will often set L2(R∞, dρ(x))=L2(R∞).
We next consider a Sobolev space in the case of an unbounded region. For functions which are=1,2, . . . times continuously differentiable up to the boundaryΓ ofR∞ and which vanish in a neighborhood of∞, we introduce the scalar product
(φ, ψ)W(R∞)=
|α|≤
Dαφ, DαψL2(R∞), (1.3)
whereDαis defined by
Dα= ∂|α|
∂x1α1∂x2α2···, |α| = ∞
i=1
αi (1.4)
As in the case of a bounded region, the spacesW(R∞)form a sequence of positive
spaces. We can construct the negative spacesW−(R∞)with respect to the zero space W0(R∞)=L2(R∞)and then we have the following equipped [1,3],
WR∞⊆L2R∞=W0R∞⊆W−R∞,
φW(R∞)≥ φL2(R∞)≥ φW−(R∞).
(1.5)
As in [7] by using the Laplace-Beltrami operator (−∆Γ)on Γ, we choose the scalar product on the spaceH−β−1/2(Γ), fractional order Sobolev spaces, as
(φ, ψ)H−β−1/2(Γ)=
Γ
−∆Γ−β−1/2
φ·ψ dΓ. (1.6)
2. Facts and results. Letπ (φ, ψ)be a continuous bilinear form which has the rep-resentation
π (φ, ψ)=(Aφ, ψ)L2(R∞), A∈L
WR∞, W−R∞, φ, ψ∈WR∞, (2.1)
whereAis a bounded selfadjoint elliptic operator of 2th order with an infinite num-ber of variables which takes the form, [2,4,8,9],
(Aφ)(x)= |α|≤
∞
k=1
(−1)|α| 1 pk
xk
∂
2α ∂xk2α
pkxkφ(x)
+q(x)φ(x)
=
|α|≤
∞
k=1
(−1)|α|D2kαφ(x)+q(x)φ(x),
(2.2)
where
Dαkφ
(x)= 1 pk
xk
∂
α
∂xkα
pkxkφ(x)
, (2.3)
and the potentialq(x)is a real-valued function fromL2(R∞)such thatq(x)≥c0>0, c0is a constant [5].
The above bilinear form is coercive inW(R∞)that means
π (φ, φ)≥cφ2
W(R∞), φ∈W
R∞, cconstant. (2.4)
Since
π (φ, φ)=
|α|≤
∞
k=1
Dα kφ, Dαkφ
L2((R∞))+(qφ, φ)L2((R∞))
≥ φW(R∞)+c0φW(R∞) ≥cφW(R∞), 1≥c >0.
(2.5)
Lemma2.1. If (2.4) is satisfied then there exists a unique elementy∈W(R∞)
satis-fying Neumann problem
Ay=f , inR∞,
∂βy
∂νAβ =h onΓ,
(2.6)
where∂βy/∂νβ A=
|β|≤−1
∞
k=1(D β
ky)cos(n, xk)onΓ,cos(n, xk)=kth direction co-sine ofn, n being the normal atΓ.
Proof. From the coerciveness condition and using the Lax-Milgram lemma [6]
there exists a uniquey∈W(R∞)such that
π (y, ψ)=L(ψ) ∀ψ∈WR∞ (2.7)
which is known as the variational Neumann problem whereL(ψ)is a continuous linear form onW(R∞)and take the form
L(ψ)=
R∞f ψ dρ(x)+
Γhψ dΓ, f∈L
2R∞, h∈H−β−1/2(Γ). (2.8)
Equation (2.7) is equivalent to
Ay=f onR∞, (2.9)
multiplying both sides byψand applying Green’s formula, we have
R∞(Ay)dρ(x)=
R∞f ψ dρ(x),
R∞
|α|≤
∞
k=1
(−1)|α|D2α k y
ψ dρ(x)+
R∞q·yψ dρ(x)=
R∞f ψ dρ(x),
R∞
|α|≤
∞
k=1
Dkαy
Dαkψ
dρ(x)−
Γ
|β|≤−1 ∞
k=1 ψDαky
cosn, xk
dΓ
+
R∞q·yψ dρ(x)=
R∞φψ dρ(x).
(2.10)
Then
π (y, ψ)−
Γ
|β|≤−1 ∞
k=1 ψDβky
cosn, xkdΓ=
R∞f ψ dρ(x), (2.11)
sinceπ (y, ψ)=L(ψ)we have
Γ h−
∂βy ∂νAβ
ψ dΓ=0, (2.12)
so
h=∂ βy
∂νAβ
3. Boundary control problem. The spaceU=H−β−1/2(Γ)is the space of controls. For every controlu∈U,Bu∈W−(R∞)is given by
(Bu, ψ)=
Γuψ dΓ, ψ∈W
R∞. (3.1)
The statey(u)∈W(R∞)of the system is given by the solution of
πy(u), ψ=L(ψ)+(Bu, ψ) ∀ψ∈WR∞ (3.2)
which may be interpreted asLemma 2.1to
Ay(u)=f inR∞,
∂βy(u) ∂νAβ
=h+u onΓ. (3.3)
The observationz(u)=y(u)and the cost functionJ(v)is given by
J(v)=y(v)−zd 2
L2(R∞)+(Nv, v)U
=
R∞
y(v)−zd
2
dρ(x)+(Nv, v)U,
(3.4)
wherezd∈L2(R∞)andN∈L(U , U ),Nis Hermitian positive definite operator. We wish to find
inf v∈Uad
J(v), (3.5)
whereUad(set of admissible controls) is a closed convex subset ofU. Under the given consideration we have the following theorem.
Theorem3.1. Assume that (2.4) holds and the cost function being given by (3.4).
The optimal controluis characterized by (3.3) and
−∆Γ−+β+1/2P (u)|Γ+Nu, v−u
U≥0 ∀v∈Uad, (3.6)
whereP (u)is the adjoint state ofy(u).
Outline of the proof. As the proof of theorems in [4,6], the controlu∈Uadis
optimal if and only if
J(u)(v−u)≥0 ∀v∈Uad (3.7)
which may be written as
y(u)−zd, y(v)−y(u)
L2(R∞)+(Nu, v−u)U≥0. (3.8)
In order to transform (3.8), we define the adjoint stateP (u)as the solution of the adjoint Neumann problem
Ap(u)=y(u)−zd inR∞,
∂βP (u) ∂νAβ
Now, multiplying the first equation in (3.9) by(y(v)−y(u))and applying Green’s formula, finally taking into account the conditions in (3.3) and (3.9), we obtain
R∞
y(u)−zd
y(v)−y(u)dρ(x)
=
R∞Ap(u)
y(v)−y(u)dρ(x)
=
ΓP (u)
∂βy(v) ∂νAβ
−∂βy(u) ∂νAβ
dΓ
−
Γ ∂β ∂νAβ
P (u)y(v)−y(u)dΓ+
R∞P (u)A
y(v)−y(u)dρ(x)
=
ΓP (u)(v−u)dΓ.
(3.10)
Hence (3.8) becomes
ΓP (u)(v−u)dΓ+(Nu, v−u)U≥0. (3.11)
By using the definition of the scalar product inH−β−1/2(Γ), then (3.9) is equivalent to
−∆Γ−+β+1/2P (u)|Γ+Nu, v−u
U≥0 ∀v∈Uad (3.12)
which is equivalent to
Γ
P (u)+−∆Γ−β−1/2Nu(v−u)dΓ≥0 ∀v∈Uad (3.13)
which completes the proof.
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Hussain A. El-Saify: Mathematics Department, Faculty of Science, Branch of Cairo
University, Beni Suef, Egypt