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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−Δ1/2v1

ωf2t, xin0, τ×Ω,u v 0, on0, T×∂Ω,u0, x u0x,v0, x v0x,

x∈Ω, whereΩis a bounded domain inRNN 1,u

0, 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: ifλ11/2ρ1β >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, v0∈L2Ω, the 2×2 diffusion matrix

D

a b c d

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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, f2∈L2 0, τ;L2Ω. Specifically, we prove the following statement: ifλ11/2ρ1β >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 ad24bc >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, 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

(3)

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 f

1, 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 0on a nonempty open subsetωofΩ. Then,f 0

inΩ.

Lemma 1.3 see 3, Lemma 3.14, page 62. Letj}j1 andi,j :i1,2, . . . , m}j1 be two

sequences of real numbers such thatα1> α2> α3· · ·. Then

j1

eαjtβ

i,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

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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 λ

1 < 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

eλjtE

jξ. 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,R2H1

,R2. Therefore, for allzDA, we obtain

Az

j1

λj1/2λj1/2DβI2×2

Pjz, 2.5

z

j1

Pjz, z2

j1

Pjz2, zZ, 2.6

where

Pj

Ej 0

0 Ej

2.7

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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, and: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}j1,{Pj}j1two families of bounded linear

operator inZ, with{Pj}j1a family of complete orthogonal projection such that

AjPjPjAj, j≥1. 2.9

Define the following family of linear operators:

Ttz

j1

eAjtP

jz, zZ, t≥0. 2.10

Then the following hold.

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

continuous fort≥0.

bUnder the above (a),{Tt}t0is 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

σAj

, 2.13

whereAj AjPj:RPj → RPj.

Theorem 2.2. The operator−Adefine by2.5is the infinitesimal generator of a strongly continuous semigroup{Tt}t0given by:

Ttz

j1

eAjtP

(6)

wherePj diag Ej, EjandAj RjPjwith

Rj

−aλj −bλj −cλj −dλj

β ⎡ ⎣λ

1/2

j 0

0 λ1j/2 ⎤

. 2.15

Moreover, ifλ11/2ρ1β >0, then there existsM >0such that

TtMexp−λ11/2λ11/2ρ1β

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−λ1j/2

λ1j/2DβI2×2

Pj, Pjdiag

Ej, Ej

. 2.18

Therefore,AjRjPjwith

Rj

−aλj −bλj −cλj −dλj

β ⎡ ⎣λ

1/2

j 0

0 λ1j/2 ⎤

, AjPjPjAj. 2.19

Clearly thatAj is a bounded linear operatorlinear and continuous. That is, there exists

Mj>0 such that

AjzMjz, ∀zZ. 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

eDteρ1tQ

12tQ2. 2.21

Hence,

eRjteΓ1jtQ

1eΓ2jtQ2, with Γjs−λ1j/2

λ1j/2ρsβ

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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}t0given by2.14.

Finally, ifλ11/2ρ1β >0, then

−λ1/2 1

λ11/2ρ1β

≥ −λ1/2

j

λ1j/2ρiβ

, 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∈ZandfL20, 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, z1 ∈ Z, ε > 0, there exists uL20, τ;Usuch that

the solutionztof3.2corresponding touverifies:

zτz1< 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 : DA ⊂ ZZ is the infinitesimal generator of

strongly continuous semigroup {Tt}t0 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, τz0. 3.5

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Theorem 3.3main theorem. Ifλ11/2ρ1β >0, then for allτ >0and 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

BωBω, Ttz

j1

eRjtP

jz, zZ, t≥0. 3.6

On the other hand,

Rj−λ1j/2

λ1j/2 a b c d β 1 0 0 1

−λ1/2

j

λ1j/2DβI2×2

. 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

eDteρ1tQ

12tQ2. 3.8

Hence,

eRjteΓj1tQ

1eΓj2tQ2, withΓjs−λ1j/2

λ1j/2ρsβ

, s1,2. 3.9

Therefore,

BωTtz

j1

BωeRjtPjz

j1 2

s1

eΓjstB

ωPs,jz, 3.10

wherePs,jQsPjPjQs.

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

BωTtz

j1

BωeRjtPjz

j1 2

s1

eΓjstB

ωPs,jz0

⇐⇒∞ j1

2

s1

eΓjst

BωPs,jzx 0, ∀x∈Ω.

3.11

Clearly that,{Γjs}is a decreasing sequence. Then, fromLemma 1.3, we obtain for all x∈ Ω

that

BωPs,jzx Qs ⎡ ⎢ ⎢ ⎣ γj k1

z1, φj,k 1ωφj,kx γj

k1

z2, φj,k 1ωφj,kx ⎤ ⎥ ⎥ ⎦ 0 0

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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 ofEjzi

γj

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 ofGraduate Texts in Mathematics, Springer, New York, NY, USA, 1992.

3 R. F. Curtain and A. J. Pritchard,Infinite Dimensional Linear Systems Theory, vol. 8 ofLecture 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.

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