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A NONLOCAL PARABOLIC PROBLEM

S. B. DE MENEZES

Received 7 May 2005; Revised 20 September 2005; Accepted 28 November 2005 Dedicated to Professor L. A. Medeiros on the occasion of his 80th birthday

We prove a result on existence and uniqueness of weak solutions for a diffusion prob- lem associated with nonlinear diffusions of nonlocal type studied by Chipot and Lovat (1999) by an application of the fixed point result of Schauder. Moreover, making use of Faedo-Galerkin approximation, coupled with some technical ideas, we establish a result on existence of periodic solution.

Copyright © 2006 Hindawi Publishing Corporation. All rights reserved.

1. Introduction

In this work, we are going to study some questions concerning to the existence, unique- ness, and periodic solution for the parabolic problem

utal(u)Δu+f(u)=h inQ=Ω×(0,T), u(x,t)=0 onΣ=Γ×(0,T),

u(x, 0)=u0(x) inΩ,

(1.1)

whereΩis a smooth bounded open subset of RN with regular boundary Γ. In prob- lem (1.1)aand f are both continuous functions, whose properties will be introduced when necessary, l:L2(Ω)Ris a nonlinear form, hL2(0,T;H1(Ω)), and T >0 is some fixed time. System (1.1) is studied, for instance, in papers of Chipot and Lovat [4]

in case f = f(x) depends only on the variablex. In this work, we are going to present a simple extension of the results contained in [4], in which f = f(u) depends on the stateu, where we study, among other things, the case in whichuis periodic. This kind of problems, besides its mathematical motivation because of presence of the nonlocal term a=a(l(u)), arises from physical situations related to migration of a population of bac- terias in a container in which the velocity of migrationv =audepends on the global population in a subdomainΩΩgiven bya=a(Ωudx). For more details see [4] and the references cited in this paper. Many books have dealt with parabolic equations and as- ymptotic analysis. See, for example, Amann [1], Haraux [5], Pao [6], and Zeidler [7] and

Hindawi Publishing Corporation

International Journal of Mathematics and Mathematical Sciences Volume 2006, Article ID 82654, Pages1–10

DOI10.1155/IJMMS/2006/82654

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the references therein. However, because of the nonlocal termawe cannot, in the present problem, make a direct adaptation of the classical techniques. In view of this we have to appeal to another device in order to obtain results similar to those in which appear only local terms. In particular, our approach rests heavily on the ideas developed by Chipot and Lovat [4]. This work is organized as follows. InSection 2, we prove basic results on existence and uniqueness of weak solution for problem (1.1). The methodology of the proof of our results is based on the fixed point argument. Finally, inSection 3, we will prove the existence and uniqueness of periodic weak solution for problem (1.1). We use Faedo-Galerkin method and Brower fixed point theorem plus also some technical ideas.

2. Results on existence and uniqueness

The first object of this work is to prove existence and uniqueness for the problem (1.1).

In fact, concerning problem (1.1), we will suppose thata:RRis continuous and that for some constantsm,M,

0< ma(ξ)M, ξR, (2.1) l:L2(Ω)−→Ris a continuous nonlinear form, (2.2) that is, there isgL2(Ω) such thatl(u)=lg(u)=

Ωg(x)u(x)dx for alluL2(Ω) and f :RRis a Lipschitz continuous function, that is, there existsγ >0 such that

f(s)f(t)γ|st|, s,tR. (2.3) Moreover assume that f(0)=0, f(0) exists.

In this section, we present some notation that will be used throughout this work. By ·,·we will represent the duality pairing betweenX andX,Xbeing the topological dual of the spaceX, and byC(sometimesC1,C2,. . .) we denote various positive constants.

We represent byHm(Ω) the usual Sobolev space of orderm, byH0m(Ω) the closure of C0(Ω) inHm(Ω), and byL2(Ω) the class of square Lebesgue integrable real functions.

In particular,H01(Ω) has inner product ((·,·)) and norm · given by ((u,v))=

Ωu·

v dx;u2=

Ω|∇u|2dx. For the Hilbert spaceL2(Ω) we represent its inner and norm, respectively, by (·,·) and| · |, defined by (u,v)=

Ωuv dx;|u|2=

Ω|u|2dx. We have our first result.

Theorem 2.1. If (2.1)–(2.3) hold, then for

u0L2(Ω), hL20,T,H1(Ω) (2.4) there exists a functionusuch that

uL20,T,H01(Ω)C[0,T],L2(Ω), utL20,T,H1(Ω), (2.5)

u(x, 0)=u0, (2.6)

d

dt(u,v) +al(u)

Ωu· ∇v dx+

Ωf(u)v dx= h,v, (2.7) for allvH01(Ω), where (2.7) must be understood as an equality inᏰ(0,T).

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Proof. We argue using the Schauder fixed point theorem. For that purpose, considerw L2(0,T;L2(Ω)) andu=N(w) the unique solution to “linearized” problem

uL20,T,H01(Ω)C[0,T],L2(Ω), utL20,T,H1(Ω), (2.8)

u(x, 0)=u0, (2.9)

d

dt(u,v) +al(w)

Ωu· ∇v dx+

Ωb(x,t,w)uv dx= h,v, (2.10) inᏰ(0,T) for allvH01(Ω).

Hereb×R+×RRis defined by

b(x,t,η)=

f(η)

η forη=0, f(0) forη=0.

(2.11)

We note that the mapping

t−→l(w) (2.12)

is measurable, and due to (2.1)–(2.3), so is

t−→al(w). (2.13)

We also note thata(l(w))L(0,T), andb(x,t,η) is continuous, a.e. (x,t)Ω×R+, and measurable for allηRand

b(x,t,η)C a.e. (x,t)Ω×R+,ηR. (2.14) We know that such au=N(w) exists (see, e.g., [3]). Thus we would like to show that the mapping

w−→N(w) (2.15)

fromL2(0,T;L2(Ω)) into itself has a fixed point—this will be clearly a solution to our problem.

First let us remark that

utal(w)u+b(x,t,w)u=h inL20,T;H1(Ω), (2.16) and thus for everyvL2(0,T;H01(Ω)),

ut,v+al(w)(u,v) +b(x,t,w)(u,v)= h,v a.e.t(0,T). (2.17) Takingv=uin (2.17), and in view of (2.1) and (2.14), one gets

1 2

d

dtu(t)2+mu(t)2Cu(t)2+u(t)|h|H1(Ω). (2.18)

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Applying Young’s inequality, we obtain 1

2 d

dtu(t)2+mu(t)2Cu(t)2+m

2u(t)2+ 1

2m|h|2H1(Ω), (2.19) that is,

1 2

d

dtu(t)2+m

2u(t)2Cu(t)2+ 1

2m|h|2H1(Ω). (2.20) Integrating it over (0,t) and employing Gronwall’s lemma, we obtain

|u|L2(0,T;H01(Ω))C, |u|L2(0,T;L2(Ω))C. (2.21) Setting

B=

vL20,T;L2(Ω)| |v|L2(0,T;L2(Ω))C, (2.22) it follows thatwu=N(w) is a mapping fromBinto itself. The arguments above show that whenwlies in a bounded setBofL2(0,T;L2(Ω)),u=N(w) also lies in a bounded set ofL2(0,T;L2(Ω)). We have to show thatN(B) is relatively compact inL2(0,T;L2(Ω)).

Indeed, going back to (2.10), we have ut

L2(0,T;H1(Ω))C. (2.23) Thenubelongs toW(0,T,H01(Ω),H1(Ω)). We recall that

W(0,T,X,Y)=

vL2(0,T;X)|vtL2(0,T;Y). (2.24) Thus, the compactness ofN is a consequence of the compactness of the embedding of W(0,T,H01(Ω),H1(Ω)) intoL2(0,T;L2(Ω)) (Aubin-Lions compactness result). In order to be able to apply the Schauder fixed point theorem, we now just need to prove thatNis continuous fromBinto itself. For that let (wn) be a sequence inBsuch that

wn−→w inL20,T;L2(Ω). (2.25) Setun=N(wn). From (2.25) we derive that

lwn

−→l(w) inL2(0,T). (2.26)

By the estimates above and Aubin-Lions compactness result we can finduW(0,T, H01(Ω),H1(Ω)) and a subsequence fromnthat we will label alsonsuch that

un u weakly inW0,T,H01(Ω),H1(Ω), (2.27) un−→u strongly inL20,T;L2(Ω), (2.28) lwn−→l(w) a.e.t(0,T). (2.29)

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By continuity ofawe obtain alwn

−→al(w) a.e.t(0,T). (2.30) From (2.10) we have that

T

0

Ωun(t)dx dt+ T

0

Ωalwn

un· ∇vϕ(t)dx dt +

T

0

Ωbx,t,wn

unvϕ(t)dx dt= T

0 h,vϕ(t)dt,

(2.31)

for anyϕᏰ(0,T),vH01(Ω).

By the Lebesgue’s dominated convergence theorem we have ϕ(t)bx,t,wn

v−→ϕ(t)b(x,t,w)v, ϕ(t)alwn∂v

∂xi−→ϕ(t)al(w)∂v

∂xi, (2.32)

inL2(0,T;L2(Ω)). Taking limit in both sides of (2.31), we obtain thatusatisfies (2.8) and (2.10). By (2.28) one can assume without loss of generality that

un(t)−→u(t) inL2(Ω), a.e.t(0,T). (2.33) Thus

u(0)=u0. (2.34)

Then by the uniqueness of the solution to (2.8)–(2.10) we have thatu=u. Since any subsequence ofunhas the same limit,

un=Nwn−→u=N(w) inL20,T;L2(Ω), (2.35)

which concludes the proof ofTheorem 2.1.

Next, we will prove the following result.

Theorem 2.2. Assume thatais Lipschitz continuous in the sense that there exists a constant Asuch that

a(t)a(t)A|tt|, t,tR. (2.36) Then under the assumptions ofTheorem 2.1, the problem (1.1) has a unique solution.

Proof. Let us denote byu1andu2two solutions of (1.1). Thus d

dt

u1u2 ,v

+alu1

Ωu1· ∇v dxalu2

×

Ωu2· ∇v dx+

Ω

fu1

fu2

v dx=0.

(2.37)

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From (2.3) we obtain d

dt

u1u2

,v

+alu1

Ω u1u2

· ∇v dx

(alu2

alu1

Ωu2· ∇v dx+γ

Ω

u1u2v dx.

(2.38)

Takingv=(u1u2)(t), for a.e.t, one gets 1

2 d

dtu1u22+alu1u1u22

alu2

alu1

Ω

u2

u1u2dx+γu1u22.

(2.39)

So by the Cauchy-Schwarz inequality and by using (2.1)–(2.2) and (2.36), one gets 1

2 d

dtu1u22+mu1u22

Alu2

lu1u2u1u2+γu1u22

Cu1u2u2u1u2+γu1u22.

(2.40)

Then, applying Young’s inequality, we obtain 1

2 d

dtu1u22+mu1u22

m

2u1u22+ 1

2mC2u22u1u22+γu1u22

=m

2u1u22+ C2

2mu22+γu1u22,

(2.41)

which gives

d

dtu1u2ζ(t)u1u22, (2.42) where the functionζ(t) belongs toL1(0,T). So this reads after multiplication by

exp

t

0ζ(s)ds

, d

dt

exp

t

0ζ(s)dsu1u22

0.

(2.43)

Since this last function is nonincreasing and vanishes at 0 (u1(0)=u2(0)), the result fol-

lows.

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3. Periodic solution

The second object of this work is to show the existence of periodic solution of problem (1.1). For this purpose, in addition to (2.1)–(2.3), we assume that

12γ >0, (3.1)

withλ1the first eigenvalue of (,H01(Ω)). We make use of Faedo-Galerkin approxima- tion and Brower fixed point theorem. The result on the periodic solution is given by the following theorem.

Theorem 3.1. Under the assumptions ofTheorem 2.2, assume that (3.1) holds. IfhL2 (0,T,H1)), then there exists a unique solutionuof the periodic problem

uL20,T,H01(Ω)C[0,T],L2(Ω), utL20,T,H1(Ω), d

dt(u,v) +al(u)

Ωu· ∇v dx+

Ωf(u)v dx= h,v,

(3.2)

for allvH01), in the sense of(0,T),

u(0)=u(T) inL2(Ω). (3.3)

Proof. We employ the Faedo-Galerkin method. Let (ωj)j∈N be a Hilbertian basis of H01(Ω) (cf. Brezis [2]). Represent byVjthe subspace ofH01(Ω) generated by{ω1,. . .,ωj} and let us consider the approximate problem given by

ujVj, (3.4)

uj,v+alujuj,v+fuj,v= h,v, vVj, (3.5) uj(0)=u0j−→u0 strongly inL2(Ω). (3.6) The system of ordinary differential equations (3.4)–(3.6) has a local solution on an in- terval [0,tm[, 0< tm< T. We now have to establish an estimate that permits to extend the solution to the whole interval [0,T]. Takingv=uj in (3.5) and in view of (2.1)–(2.3), one gets

1 2

d

dtuj(t)2+muj(t)2γuj(t)2+uj|h|H1(Ω). (3.7) Thanks to Young’s inequality, one gets

1 2

d

dtuj(t)2+m

2uj(t)2γuj(t)2+ 1

2m|h|2H1(Ω). (3.8)

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As in the proof ofTheorem 2.1, integrating it over (0,t) and employing Gronwall’s lemma, we obtain

uj

L2(0,T;H01(Ω))C, (3.9)

uj

L(0,T;L2(Ω))C, (3.10)

tuj

L2(0,T;H1(Ω))C. (3.11)

In view of the estimates above, we can extend the approximate solutionuj(t) to [0,T].

Next, let us consider

uj(0)=u0jB0(R)Vj, (3.12) whereB0(R)= {uL2(Ω);|u|L2(Ω)< R}, withRa positive constant.

Letλ1 be the first eigenvalue of (,H01(Ω)). Then, thanks to Poincare’s inequality and (3.8), we obtain

d

dtuj(t)2+1uj(t)2 1

2m|h|2H1(Ω). (3.13) We note that, by hypothesis (3.1),12γ >0 and thus

d

dtuj(t)2+Cuj(t)2C|h|2H1(Ω). (3.14) We multiply both sides of (3.14) byeCtand we integrate on [0,t) to obtain

uj(t)2eCtuj(0)2+C T

0 eC(sT)h(s)2H1(Ω)ds. (3.15) SincehL2(0,T,H1(Ω)), one has

uj(t)2θ(t)uj(0)2+C, (3.16) for all 0tT, withθ(t)=eCt and C=T

0 eC(sT)|h(s)|2H1(Ω)ds. We note that 0<

θ(t)<1. Then,

uj(T)2θuj(0)2+C, (3.17) withθ=θ(T) constant, 0< θ <1. ChoosingR >0 such thatC/(1θ)< R2, we have that

uj(T)2R2. (3.18)

Thus, for eachu0jB0(R)Vjthere exists a solutionuj(t) of the approximating problem (3.4)–(3.6) and, furthermore,uj(t) satisfies (3.18). So, we have defined a mapping

τ:B0(R)Vj−→B0(R)Vj,

u0j−→τu0j=uj(T). (3.19) We are ready to establish the following lemma.

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Lemma 3.2. Assume that hypotheses ofTheorem 2.2hold. Then the mappingτis continuous.

Proof. Let us consideru01j,u02j inB0(R)Vj andu1,u2the corresponding solutions of (3.4)–(3.6). From (2.41) we obtain

1 2

d

dtu1ju2j2+m

2u1ju2j2Cu1ju2j2, (3.20) since, byTheorem 2.1,u2j< C. By Gronwall’s lemma, one gets

u1j(T)u2j(T)Cu01ju02j. (3.21) Returning to (3.20) and using the equivalence between the norms inVj, we obtain

u1j(T)u2j(T)VjCu01ju02jVj (3.22) and, therefore, Lemma 3.2follows. Returning to the map τ and usingLemma 3.2, we obtain, from the fixed Brower theorem, that there existsu01jVjsuch that

τu01j=u01j. (3.23)

Thus,

u1j(0)=u1j(T), (3.24)

whereu1j is the solution of the approximate problem (3.4)–(3.6) with initial datumu01j. Since the estimates (3.9)–(3.11) were uniform inj, we can see that exist a subsequence of (u1j), again called (u1j), and a functionusuch that

u1j u weak star inL0,T,L2(Ω), (3.25) u1j u weakly inL20,T,H01(Ω), (3.26)

tu1j tu weakly inL20,T,H1(Ω), (3.27) d

dt(u,v) +al(u)

Ωu· ∇v dx+

Ωf(u)v dx= h,v, (3.28) for allvH01(Ω), in the sense ofᏰ(0,T).

Finally, we will now prove that

u(0)=u(T). (3.29)

Indeed, by (3.26) we have T

0

u1j(t),vψ(t)dt−→

T

0

u(t),vψ(t)dt, (3.30)

for allvH01(Ω) andψH01(0,T), withψ(T)=0.

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Also by (3.27) we obtain T

0

d dt

u1j(t),vψ(t)dt−→

T

0

d dt

u(t),vψ(t)dt, (3.31)

for allvH01(Ω) andψH01(0,T), withψ(T)=0.

It follows from (3.30) and (3.31) that T

0

d dt

u1j(t),vψ(t)dt−→

T

0

d dt

u(t),vψ(t)dt, (3.32)

that is,

u1j(0),v−→

u(0),v, vH01(Ω). (3.33) We use the preceding argument withψH01(Ω),ψ(0)=0, to get

u1j(T),v−→

u(T),v, vH01(Ω). (3.34) Sinceu1j(0)=u1j(T), it follows from (3.33) and (3.34) thatu(T)=u(0) inL2(Ω), which

concludes the proof of ourTheorem 3.1.

References

[1] H. Amann, Linear and Quasilinear Parabolic Problems. Vol. I, Monographs in Mathematics, vol.

89, Birkh¨auser Boston, Massachusetts, 1995.

[2] H. Brezis, Analyse Fonctionnelle: Th´eorie et Applications [Functional Analysis: Theory and Appli- cations], Masson, Paris, 1983.

[3] M. Chipot, Elements of Nonlinear Analysis, Birkh¨auser Advanced Texts, Birkh¨auser, Basel, 2000.

[4] M. Chipot and B. Lovat, On the asymptotic behaviour of some nonlocal problems, Positivity 3 (1999), no. 1, 65–81.

[5] A. Haraux, Syst`emes Dynamiques Dissipatifs et Applications [Dissipative Dynamical Systems and Applications], Research in Applied Mathematics, vol. 17, Masson, Paris, 1991.

[6] C. V. Pao, Nonlinear Parabolic and Elliptic Equations, Plenum Press, New York, 1992.

[7] E. Zeidler, Nonlinear Functional Analysis and Its Applications. II/B. Nonlinear Monotone Operator, Springer, New York, 1990.

S. B. de Menezes: Departamento de Matem´atica, Universidade Federal do Par´a, 66075-110 Bel´em, Par´a, Brazil

E-mail address:[email protected]

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Special Issue on

Intelligent Computational Methods for Financial Engineering

Call for Papers

As a multidisciplinary field, financial engineering is becom- ing increasingly important in today’s economic and financial world, especially in areas such as portfolio management, as- set valuation and prediction, fraud detection, and credit risk management. For example, in a credit risk context, the re- cently approved Basel II guidelines advise financial institu- tions to build comprehensible credit risk models in order to optimize their capital allocation policy. Computational methods are being intensively studied and applied to im- prove the quality of the financial decisions that need to be made. Until now, computational methods and models are central to the analysis of economic and financial decisions.

However, more and more researchers have found that the financial environment is not ruled by mathematical distribu- tions or statistical models. In such situations, some attempts have also been made to develop financial engineering mod- els using intelligent computing approaches. For example, an artificial neural network (ANN) is a nonparametric estima- tion technique which does not make any distributional as- sumptions regarding the underlying asset. Instead, ANN ap- proach develops a model using sets of unknown parameters and lets the optimization routine seek the best fitting pa- rameters to obtain the desired results. The main aim of this special issue is not to merely illustrate the superior perfor- mance of a new intelligent computational method, but also to demonstrate how it can be used effectively in a financial engineering environment to improve and facilitate financial decision making. In this sense, the submissions should es- pecially address how the results of estimated computational models (e.g., ANN, support vector machines, evolutionary algorithm, and fuzzy models) can be used to develop intelli- gent, easy-to-use, and/or comprehensible computational sys- tems (e.g., decision support systems, agent-based system, and web-based systems)

This special issue will include (but not be limited to) the following topics:

Computational methods: artificial intelligence, neu- ral networks, evolutionary algorithms, fuzzy inference, hybrid learning, ensemble learning, cooperative learn- ing, multiagent learning

Application fields: asset valuation and prediction, as- set allocation and portfolio selection, bankruptcy pre- diction, fraud detection, credit risk management

Implementation aspects: decision support systems, expert systems, information systems, intelligent agents, web service, monitoring, deployment, imple- mentation

Authors should follow the Journal of Applied Mathemat- ics and Decision Sciences manuscript format described at the journal site http://www.hindawi.com/journals/jamds/.

Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Track- ing System athttp://mts.hindawi.com/, according to the fol- lowing timetable:

Manuscript Due December 1, 2008 First Round of Reviews March 1, 2009 Publication Date June 1, 2009

Guest Editors

Lean Yu,Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China;

Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong;

[email protected]

Shouyang Wang,Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; [email protected]

K. K. Lai,Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong; [email protected]

Hindawi Publishing Corporation http://www.hindawi.com

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