Volume 2009, Article ID 560407,9pages doi:10.1155/2009/560407
Research Article
Interior Controllability of a 2 × 2 Reaction-Diffusion System with Cross-Diffusion Matrix
Hanzel Larez and Hugo Leiva
Departamento de Matem´aticas, Universidad de Los Andes, M´erida 5101, Venezuela
Correspondence should be addressed to Hugo Leiva,[email protected] Received 30 December 2008; Accepted 27 May 2009
Recommended by Gary Lieberman
We prove the interior approximate controllability for the following 2×2 reaction-diffusion system with cross-diffusion matrixutaΔu−β−Δ1/2ubΔv1ωf1t, xin0, τ×Ω,vtcΔu−dΔv− β−Δ1/2v1ωf2t, xin0, τ×Ω,u v 0, on0, T×∂Ω,u0, x u0x,v0, x v0x, x∈Ω, whereΩis a bounded domain inRNN ≥ 1,u0, v0∈L2Ω, the 2×2 diffusion matrix Da b
c d
has semisimple and positive eigenvalues 0< ρ1≤ρ2,βis an arbitrary constant,ωis an open nonempty subset ofΩ, 1ωdenotes the characteristic function of the setω, and the distributed controlsf1, f2∈L2 0, τ;L2Ω. Specifically, we prove the following statement: ifλ1/21 ρ1β >0 whereλ1is the first eigenvalue of−Δ, then for allτ >0 and all open nonempty subsetωofΩthe system is approximately controllable on 0, τ.
Copyrightq2009 H. Larez and H. Leiva. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
In this paper we prove the interior approximate controllability for the following 2×2 reaction- diffusion system with cross-diffusion matrix
utaΔu−β−Δ1/2ubΔv1ωf1t, x in0, τ×Ω, vtcΔu−dΔv−β−Δ1/2v1ωf2t, x in0, τ×Ω,
uv0, on0, τ×∂Ω, u0, x u0x, v0, x v0x, x∈Ω,
1.1
whereΩis a bounded domain inRNN≥1,u0, v0∈L2Ω, the 2×2 diffusion matrix
D a b
c d
1.2
has semisimple and positive eigenvalues,βis an arbitrary constant,ωis an open nonempty subset ofΩ, 1ωdenotes the characteristic function of the setω, and the distributed controls f1, f2∈L2 0, τ;L2Ω. Specifically, we prove the following statement: ifλ1/21 ρ1β >0the first eigenvalue of−Δ, then for allτ >0 and all open nonempty subsetωofΩ, the system is approximately controllable on 0, τ.
WhenΩ 0,1this system takes the following particular form:
uta∂2u
∂x2 β∂u
∂xb∂2v
∂x2 1ωf1t, x in0, τ×0,1, vtc∂2u
∂x2 d∂2v
∂x2 β∂v
∂x 1ωf2t, x in0, τ×0,1, ut,0 vt,0 ut,1 vt,1 0, t∈0, τ,
u0, x u0x, v0, x v0x, x∈0,1.
1.3
This paper has been motivated by the work done Badraoui in 1, where author studies the asymptotic behavior of the solutions for the system1.3on the unbounded domainΩ R.
That is to say, he studies the system:
uta∂2u
∂x2 β∂u
∂xb∂2v
∂x2 ft, u, v, x∈R, t >0, vtc∂2u
∂x2 d∂2v
∂x2 β∂v
∂xgt, u, v, x∈R, t >0,
1.4
supplemented with the initial conditions:
ux,0 u0x, vx,0 v0x, x∈R, 1.5
where the diffusion coefficientsaanddare assumed positive constants, while the diffusion coefficientsb,c and the coefficientβ are arbitrary constants. He assume also the following three conditions:
H1 a−d24bc >0,cd /0 andad > bc,
H2u0, v0∈XCUBR,whereCUBis the space of bounded and uniformly continuous real-valued functions,
H3ft, u, v and gt, u, v ∈ X, for all t > 0 and u, v ∈ X. Moreover, f and g are locally Lipshitz; namely, for allt1 ≥0 and all constantk >0, there exist a constant LLk, t1>0 such that
ft, w1−ft, w2≤L|w1−w2|, 1.6 is verified for allw1 u1, v1,w2 u2, v2 ∈R×Rwith|w1| ≤k,|w2| ≤ kand t∈ 0, t1.
We note that the hypothesisH1implies that the eigenvalues of the matrix D are simple and positive. But, this condition is not necessary for the eigenvalues ofD to be positive, in fact we can find matricesDwithaanddbeen negative and having positive eigenvalues. For example, one can consider the following matrix:
D 5 −6
2 −2
, 1.7
whose eigenvalues areρ11 andρ2 2.
The system1.1can be written in the following matrix form:
ztDΔz−βI2×2−Δ1/2z1ωft, x, in0, τ×Ω, z0, on0, τ×∂Ω,
z0, x z0x, x∈Ω,
1.8
wherez u, vT ∈R2, the distributed controlsf f1, f2T ∈L2 0, τ;L2Ω;R2, andI2×2 is the identity matrix of dimension 2×2.
Our technique is simple and elegant from mathematical point of view, it rests on the shoulders of the following fundamental results.
Theorem 1.1. The eigenfunctions of −Δ with Dirichlet boundary condition are real analytic functions.
Theorem 1.2see 2, Theorem 1.23, page 20. SupposeΩ⊂Rnis open, nonempty, and connected set, andfis real analytic function inΩwithf 0 on a nonempty open subsetωofΩ. Then,f 0 inΩ.
Lemma 1.3 see 3, Lemma 3.14, page 62. Let {αj}j≥1 and {βi,j :i1,2, . . . , m}j≥1 be two sequences of real numbers such thatα1> α2> α3· · ·. Then
∞ j1
eαjtβi,j 0, ∀t∈ 0, t1, i1,2, . . . , m 1.9
if and only if
βi,j 0, i1,2, . . . , m; j1,2, . . . ,∞. 1.10
Finally, with this technique those young mathematicians who live in remote and inhospitable places, far from major research centers in the world, can also understand and enjoy the interior controllability with a minor effort.
2. Abstract Formulation of the Problem
In this section we choose a Hilbert space where system 1.8can be written as an abstract differential equation; to this end, we consider the following notations:
Let us consider the Hilbert spaceH L2Ω,R and 0 λ1 < λ2 < · · · < λj → ∞ the eigenvalues of −Δ, each one with finite multiplicity γj equal to the dimension of the corresponding eigenspace. Then, we have the following well-known propertiessee 3, pages 45-46.
iThere exists a complete orthonormal set{φj,k}of eigenvectors of−Δ.
iiFor allξ∈D−Δ, we have
−Δξ∞
j1
λj γj
k1
ξ, φj,k φj,k∞
j1
λjEjξ, 2.1
where ·,·is the inner product inHand
Enξ
γj
k1
ξ, φj,k φj,k. 2.2
So,{Ej}is a family of complete orthogonal projections inHandξ∞
j1Ejξ,ξ∈H.
iii Δgenerates an analytic semigroup{TΔt}given by
TΔtξ∞
j1
e−λjtEjξ. 2.3
Now, we denote byZthe Hilbert spaceH2 L2Ω;R2and define the following operator:
A:DA⊂Z−→Z, Aψ−DΔψβI2×2−Δ1/2ψ 2.4
withDA H2Ω,R2∩H01Ω,R2. Therefore, for allz∈DA, we obtain
Az∞
j1
λ1/2j
λ1/2j DβI2×2
Pjz, 2.5
z∞
j1
Pjz, z2 ∞
j1
Pjz2, z∈Z, 2.6
where
Pj Ej 0
0 Ej
2.7 is a family of complete orthogonal projections inZ.
Consequently, system1.8can be written as an abstract differential equation inZ:
z−AzBωf, z∈Z, t≥0, 2.8
wheref∈L2 0, τ;U,UZ, andBω:U → Z,Bωf1ωfis a bounded linear operator.
Now, we will use the following Lemma from 4to prove the following theorem.
Lemma 2.1. LetZbe a Hilbert separable space and{Aj}j≥1,{Pj}j≥1two families of bounded linear operator inZ, with{Pj}j≥1a family of complete orthogonal projection such that
AjPjPjAj, j≥1. 2.9
Define the following family of linear operators:
Ttz∞
j1
eAjtPjz, z∈Z, t≥0. 2.10
Then the following hold.
aTt is a linear and bounded operator if eAjt ≤ gt, j 1,2, . . ., with gt ≥ 0, continuous fort≥0.
bUnder the above (a),{Tt}t≥0is a strongly continuous semigroup in the Hilbert spaceZ, whose infinitesimal generatorAis given by
Az∞
j1
AjPjz, z∈DA 2.11
with
DA
⎧⎨
⎩z∈Z: ∞ j1
AjPjz2 <∞
⎫⎬
⎭. 2.12
cThe spectrumσAofAis given by
σA ∞
j1
σ Aj
, 2.13
whereAj AjPj:RPj → RPj.
Theorem 2.2. The operator−Adefine by2.5is the infinitesimal generator of a strongly continuous semigroup{Tt}t≥0given by:
Ttz∞
j1
eAjtPjz, z∈Z, t≥0, 2.14
wherePj diag Ej, EjandAj RjPjwith
Rj
−aλj −bλj
−cλj −dλj
−β
⎡
⎣λ1/2j 0 0 λ1/2j
⎤
⎦. 2.15
Moreover, ifλ1/21 ρ1β >0, then there existsM >0 such that
Tt ≤Mexp
−λ1/21
λ1/21 ρ1β t
, t≥0. 2.16
Proof. In order to apply the foregoing Lemma, we observe that−Acan be written as follows:
−Az∞
j1
AjPjz, z∈DA 2.17
with
Aj−λ1/2j
λ1/2j DβI2×2
Pj, Pjdiag Ej, Ej
. 2.18
Therefore,AjRjPjwith
Rj
−aλj −bλj
−cλj −dλj
−β
⎡
⎣λ1/2j 0 0 λ1/2j
⎤
⎦, AjPjPjAj. 2.19
Clearly thatAj is a bounded linear operatorlinear and continuous. That is, there exists Mj>0 such that
Ajz≤Mjz, ∀z∈Z. 2.20 In fact,AjzRjPjz ≤ RjPjz ≤ Rjz.
Now, we have to verify condition a of Lemma 2.1. To this end, without loss of generality, we will suppose that 0 < ρ1 < ρ2. Then, there exists a set {Q1, Q2} of complementary projections onR2such that
eDteρ1tQ1eρ2tQ2. 2.21
Hence,
eRjteΓ1jtQ1eΓ2jtQ2, with Γjs−λ1/2j
λ1/2j ρsβ
, s1,2. 2.22
This implies the existence of positive numbersα, Msuch that
eAjt≤Meαt, j1,2, . . . . 2.23
Therefore,−Agenerates a strongly continuous semigroup{Tt}t≥0given by2.14.
Finally, ifλ1/21 ρ1β >0, then
−λ1/21
λ1/21 ρ1β
≥ −λ1/2j
λ1/2j ρiβ
, j1,2,3, . . .; i1,2, 2.24
and using2.14we obtain2.16.
3. Proof of the Main Theorem
In this section we will prove the main result of this paper on the controllability of the linear system 2.8. But, before we will give the definition of approximate controllability for this system. To this end, for allz0∈Zandf∈L20, τ;U, the initial value problem
z−AzBωft, z∈Z,
z0 z0, 3.1
where the control functionfbelonging toL20, τ;Uadmits only one mild solution given by
zt Ttz0 t
0
Tt−sBωfsds, t∈ 0, τ. 3.2
Definition 3.1 approximate controllability. The system 2.8 is said to be approximately controllable on 0, τif for every z0, z1 ∈ Z, ε > 0, there exists u ∈ L20, τ;Usuch that the solutionztof3.2corresponding touverifies:
zτ−z1< ε. 3.3
The following result can be found in 5for the general evolution equation:
zAzBft, z∈Z, u∈U, 3.4
where Z, U are Hilbert spaces, A : DA ⊂ Z → Z is the infinitesimal generator of strongly continuous semigroup {Tt}t≥0 inZ, B ∈ LU, Z, the control function f belongs toL20, τ;U.
Theorem 3.2. System3.4is approximately controllable on 0, τif and only if
B∗T∗tz0, ∀t∈ 0, τ ⇒z0. 3.5 Now, one is ready to formulate and prove the main theorem of this work.
Theorem 3.3main theorem. Ifλ1/21 ρ1β >0, then for allτ >0 and all open nonempty subsetω ofΩthe system,2.8is approximately controllable on 0, τ.
Proof. We will applyTheorem 3.2to prove the approximate controllability of system2.8.
With this purpose, we observe that
Bω∗ Bω, T∗tz∞
j1
eR∗jtPj∗z, z∈Z, t≥0. 3.6
On the other hand,
Rj−λ1/2j
λ1/2j a b
c d
β 1 0
0 1
−λ1/2j
λ1/2j DβI2×2
. 3.7
Without lose of generality, we will suppose that 0< ρ1< ρ2. Then, there exists a set{Q1, Q2} of complementary projections onR2such that
eDteρ1tQ1eρ2tQ2. 3.8
Hence,
eRjteΓj1tQ1eΓj2tQ2, withΓjs−λ1/2j
λ1/2j ρsβ
, s1,2. 3.9
Therefore,
Bω∗T∗tz∞
j1
B∗ωeRj∗tPj∗z∞
j1
2 s1
eΓjstB∗ωPs,j∗ z, 3.10
wherePs,jQsPjPjQs.
Now, suppose forz∈ZthatB∗ωT∗tz0, for allt∈ 0, τ. Then,
B∗ωT∗tz∞
j1
B∗ωeR∗jtPj∗z∞
j1
2 s1
eΓjstBω∗Ps,j∗ z0
⇐⇒∞
j1
2 s1
eΓjst Bω∗Ps,j∗
zx 0, ∀x∈Ω.
3.11
Clearly that,{Γjs}is a decreasing sequence. Then, fromLemma 1.3, we obtain for all x∈ Ω that
Bω∗Ps,j∗ z
x Q∗s
⎡
⎢⎢
⎣
γj
k1
z1, φj,k 1ωφj,kx
γj
k1
z2, φj,k 1ωφj,kx
⎤
⎥⎥
⎦ 0
0
, j 1,2,3,4, . . .; s1,2. 3.12
SinceQ1Q2IR2, we get that
⎡
⎢⎢
⎣
γj
k1
z1, φj,k φj,kx
γj
k1
z2, φj,k φj,kx
⎤
⎥⎥
⎦ 0
0
, j 1,2,3,4, . . .; s1,2, ∀x∈ω. 3.13
On the other hand, fromTheorem 1.1we know thatφn,kare analytic functions, which implies the analyticity ofEjziγj
k1< zi,φj,k > φj,k. Then, fromTheorem 1.2we get that
⎡
⎢⎢
⎣
γj
k1
z1, φj,k φj,kx
γj
k1
z2, φj,k φj,kx
⎤
⎥⎥
⎦ 0
0
, j1,2,3,4, . . . , ∀x∈Ω, s1,2. 3.14
HencePjz0,j1,2,3,4, . . ., which implies thatz0. This completes the proof of the main theorem.
Acknowledgment
This work was supported by the CDHT-ULA-project: 1546-08-05-B.
References
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