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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 matrixutaΔuβ−Δ1/2ubΔv1ωf1t, xin0, τ×Ω,vtcΔudΔvβ−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, v0L2Ω, the 2×2 diffusion matrix Da b

c d

has semisimple and positive eigenvalues 0< ρ1ρ2,βis an arbitrary constant,ωis an open nonempty subset ofΩ, 1ωdenotes the characteristic function of the setω, and the distributed controlsf1, f2L2 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

utaΔuβ−Δ1/2ubΔv1ωf1t, x in0, τ×Ω, vtcΔudΔvβ−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, v0L2Ω, the 2×2 diffusion matrix

D a b

c d

1.2

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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, f2L2 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, v0XCUBR,whereCUBis the space of bounded and uniformly continuous real-valued functions,

H3ft, u, v and gt, u, vX, for all t > 0 and u, vX. 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, w1ft, w2L|w1w2|, 1.6 is verified for allw1 u1, v1,w2 u2, v2 ∈R×Rwith|w1| ≤k,|w2| ≤ kand t∈ 0, t1.

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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:

ztDΔzβI2×2−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, f2TL2 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 andi,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.

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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 allξD−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,ξH.

iii Δgenerates an analytic semigroup{TΔt}given by

TΔ

j1

e−λjtEjξ. 2.3

Now, we denote byZthe Hilbert spaceH2 L2Ω;R2and define the following operator:

A:DAZ−→Z, −DΔψβI2×2−Δ1/2ψ 2.4

withDA H2Ω,R2H01Ω,R2. Therefore, for allzDA, we obtain

Az

j1

λ1/2j

λ1/2j DβI2×2

Pjz, 2.5

z

j1

Pjz, z2

j1

Pjz2, zZ, 2.6

where

Pj Ej 0

0 Ej

2.7 is a family of complete orthogonal projections inZ.

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Consequently, system1.8can be written as an abstract differential equation inZ:

z−AzBωf, zZ, t≥0, 2.8

wherefL2 0, τ;U,UZ, andBω:UZ,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, zZ, t≥0. 2.10

Then the following hold.

aTt is a linear and bounded operator if eAjtgt, j 1,2, . . ., with gt0, continuous fort0.

bUnder the above (a),{Tt}t≥0is a strongly continuous semigroup in the Hilbert spaceZ, whose infinitesimal generatorAis given by

Az

j1

AjPjz, zDA 2.11

with

DA

⎧⎨

zZ: 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, zZ, t≥0, 2.14

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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, zDA 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

AjzMjz, ∀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

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This implies the existence of positive numbersα, Msuch that

eAjtMeαt, 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 allz0ZandfL20, τ;U, the initial value problem

z−AzBωft, zZ,

z0 z0, 3.1

where the control functionfbelonging toL20, τ;Uadmits only one mild solution given by

zt Ttz0 t

0

TtsBωfsds, 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, z1Z, ε > 0, there exists uL20, 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, zZ, uU, 3.4

where Z, U are Hilbert spaces, A : DAZZ is the infinitesimal generator of strongly continuous semigroup {Tt}t≥0 inZ, BLU, Z, the control function f belongs toL20, τ;U.

Theorem 3.2. System3.4is approximately controllable on 0, τif and only if

BTtz0, ∀t∈ 0, τ ⇒z0. 3.5 Now, one is ready to formulate and prove the main theorem of this work.

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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, Ttz

j1

eRjtPjz, zZ, 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,

BωTtz

j1

BωeRj∗tPjz

j1

2 s1

eΓjstBωPs,j z, 3.10

wherePs,jQsPjPjQs.

Now, suppose forzZthatBωTtz0, for allt∈ 0, τ. Then,

BωTtz

j1

BωeRjtPjz

j1

2 s1

eΓjstBωPs,j z0

⇐⇒

j1

2 s1

eΓjst BωPs,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

BωPs,j z

x Qs

⎢⎢

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

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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

1 S. Badraoui, “Asymptotic behavior of solutions to a 2×2 reaction-diffusion system with a cross diffusion matrix on unbounded domains,” Electronic Journal of Differential Equations, vol. 2006, no. 61, pp. 1–13, 2006.

2 S. Axler, P. Bourdon, and W. Ramey, Harmonic Function Theory, vol. 137 of Graduate Texts in Mathematics, Springer, New York, NY, USA, 1992.

3 R. F. Curtain and A. J. Pritchard, Infinite Dimensional Linear Systems Theory, vol. 8 of Lecture Notes in Control and Information Sciences, Springer, Berlin, Germany, 1978.

4 H. Leiva, “A lemma onC0-semigroups and applications PDEs systems,” Quaestiones Mathematicae, vol.

26, no. 3, pp. 247–265, 2003.

5 R. F. Curtain and H. Zwart, An Introduction to Infinite-Dimensional Linear Systems Theory, vol. 21 of Texts in Applied Mathematics, Springer, New York, NY, USA, 1995.

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