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R E S E A R C H

Open Access

Anti-periodic extremal problems for a class of

nonlinear evolution inclusions in

R

N

Jingrui Zhang

1*

, Yi Cheng

2

, Cuiying Li

3

and Hongtu Hua

4

*Correspondence:

[email protected] 1School of Aerospace Engineering,

Beijing Institute of Technology, Beijing, 100081, P.R. China Full list of author information is available at the end of the article

Abstract

The aim of this paper is to establish the existence of anti-periodic solutions to the following nonlinear anti-periodic problem:x˙+A(t,x)∈ExtF(t,x) a.e.tI,x(T) = –x(0), inRNwhere ExtF(t,x) denotes the extremal point set of the multifunctionF(t,x), and

A(t,x) is a nonlinear map fromRNtoRN. Sufficient conditions for the existence of

extremal solutions are presented. Also, we prove that the extremal point set of this problem is compact inC(I,RN) and dense in the solution set of nonlinear evolution

problems with a convex valued perturbation which is multivalued. We apply our results on the control system witha priorifeedback.

Keywords: anti-periodic solution; evolution inclusion; the Schauder fixed point theorem; continuous selection

1 Introduction

In this paper, we consider the following anti-periodic problems:

˙

x+A(t,x)∈ExtF(t,x) a.e.tI,

x(T) = –x(), ()

inRN whereI= [,T],F(t,x) :I×RNRN satisfies some conditions mentioned later,

A(t,x) is a nonlinear map fromI×RN toRN. Anti-periodic problems of evolution

inclu-sions have important applications in many fields, such as auto-control, partial differential equations and engineering,etc.The study of anti-periodic solutions for nonlinear evolu-tion equaevolu-tions was initiated by Okochi []. Since then, many authors devoted themselves to the investigation of the existence of anti-periodic solutions to nonlinear evolution equa-tions in Hilbert spaces. For the details, see [–] and the references therein. In [], Chen studied the anti-periodic solution for the following first order semilinear evolution equa-tion:

˙

u+Au(t)∈F(t,u), tR, u(t+T) = –u(t),

where A:RNRN is a matrix,f :R×RNRN is a continuous function satisfying f(t+T,u) = –f(t, –u) for all (t,u)∈R×RN. Chenet al.[] also studied this problem in a

real separable Hilbert space whenAis a dense self-adjoint operator which only has a point spectrum. Recently, Q Liu [], ZH Liu [] and Wang [] considered anti-periodic prob-lem of nonlinear evolution equation in a real reflexive Banach space and obtained some

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existence results by applying the theory of pseudo-monotone perturbations of maximal monotone mappings and the theory of evolution operators. However, there are few re-sults about the extremal anti-periodic problem, which is connected with the ‘Bang-Bang’ control problem in the above works. For the case of periodic problems, we refer to the work of Li-Xue [], Xue-Yu [] in Hilbert and Xue-Cheng [] in Banach space. Inspired by [], which considers the problem in Banach space, we continue to consider the ex-istence of solutions for a nonlinear evolution inclusion inRN by relaxing the constraint

conditions. Our approach will be based on techniques and results of the theory of the extremal continuous selection theorem and the Schauder fixed point theorem.

The paper is divided into four parts. In Section , we introduce some notation, and definitions we need for the results. In Section , we present some basic assumptions and main results, the proofs of the main results are given based on the Schauder fixed point theorem and the extremal continuous selection theorem. Finally, an example is presented for our results in Section .

2 Preliminaries

For convenience, we introduce some notation as follows. In Euclidean space, (·,·) expresses inner product, while · expresses the Euclidean norm. LetL([,T];RN) denote the set

of the mapx: [,T]→RN which satisfiesT

 |x|dt<∞, and the norm inL([,T];RN)

is denoted byx= (

T  |x|dt)

. IfF= [,b], theExtF={,b}. We recall some basic

definitions and facts from multivalued analysis which we shall need in the sequel. For details we refer to the book of Zeidler []. LetI= [,T], (I,) be the Lebesgue measurable space andXbe a separable Banach space. Denote

Pf(X) ={AX: nonempty and closed},

Pk(X) ={AX: nonempty and compact},

Pwkc(X) ={AX: nonempty, weakly compact and convex}.

LetAPf(X),xX, then the distance fromxtoAis given byd(x,A) =inf{|xa|:aA}.

A multifunctionF:IPf(X) is said to be measurable if and only if, for everyzX, the

functiontd(z,F(t)) =inf{zx:xF(t)} is measurable. A multifunctionG:I→ X\ {∅}is said to be graph measurable, ifGrG={(t,x) :xG(t)} ∈×B(X) withB(X)

being the Borelσ-field ofX. OnPf(X) we can define a generalized metric, known in the

literature as the ‘Hausdorff metric’, by setting

h(A,B) =max

sup

aA

d(a,B),sup

bB

d(b,A)

for allA,BPf(X). It is well known that (Pf(X),h) is a complete metric space andPfc(X)

is a closed subset of it. WhenZis a Hausdorff topological space, a multifunctionG:ZPf(X) is said to beh-continuous if it is continuous as a function fromZinto (Pf(X),h).

LetY,Zbe Hausdorff topological spaces andG:Y→Z\{φ}. We say thatG(·) is ‘upper

semicontinuous (USC)’ (resp., ‘lower semicontinuous (LSC)’), if for allCZnonempty closed,G(C) ={yY:G(y)C=φ}(resp.,G+(C) ={yY:G(y)C}) is closed inY. An

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inZ). A multifunction which is both USC and LSC is said to be ‘continuous’. IfY,Zare both metric spaces, then the above definition of LSC is equivalent to saying that for all zZ,ydZ(z,G(y)) =inf{dZ(z,v) :vG(y)}has upper semicontinuity as anR+-valued

function. Also, lower semicontinuity is equivalent to saying that ifynyinYasn→ ∞,

then

G(y)⊆limG(yn) =

zZ:limdZ

z,G(yn)

= 

=zZ:z=limzn,znG(yn),n≥ .

A setDL(I,X) is said to be ‘decomposable’, if for everyg,g∈Dand for everyJI

measurable we haveχJg+χJcgD. LetXbe a Banach space and letL(I,X) be the Banach

space of all functionsu:IX, which are Bochner integrable. D(L(I,X)) denotes the

collection of nonempty decomposable subsets ofL(I,X). The following lemmas are still

needed in the proof of our main theorems.

Lemma .(see []) Let X be a separable metric space and let F:XD(L(I,X))be a lower semicontinuous multifunction with closed decomposable values.Then F has a con-tinuous selection.

LetXbe a separable Banach Space andC(I,X) be the Banach space of all continuous functions. A multifunctionF:I×XPwkc(X) is said to be Carathéodory type, if for

everyxX,F(·,x) is measurable, and for almost alltI,F(t,·) ish-continuous. (i.e.it is continuous formXto the metric space (Pf(X),h) wherehis Hausdorff metric). LetM

C(I,X). A multifunctionF:I×XPwkc(X) is called integrably bounded onMif there

exists a functionλ:IR+such that for almost alltI,sup{y:yF(t,x(t)),x(·)∈M} ≤

λ(t). A nonempty subsetM⊂C(I,X) is calledσ-compact if there is a sequence{Mk}k≥

of compact subsetsMksuch thatM=

k≥Mk. LetM⊂M, such thatMis dense inM

andσ-compact. The following continuous selection theorem in the extreme point case is due to Tolstonogov [].

Lemma .(see []) Let the multifunction F:I×XPwkc(X)be of Carathéodory type

and integrably bounded.Then there exists a continuous function g:MLp(I,X)such

that for almost all tI,if x(·)∈M,then g(x)(t)∈ExtF(t,x(t)),and if x(·)∈M\M,then

g(x)(t)∈ExtF(t,x(t)).

3 Main results

LetI= [,T] andC(I;RN) be all the continuous functions fromItoRNwith the max norm.

We let={v(·)∈C(I;RN) :v() = –v(T)}, andW,(I;RN) ={u(·)∈:u˙(·)∈L(I;RN)}.

W,(I;RN) is a separable Banach space under the norm · ,.

Consider the following anti-periodic problem:

˙

x(t) +A(t,x(t))∈ExtF(t,x(t)) a.e.tI, x() = –x(T),

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functionf(t)∈ExtF(t,x(t)) such that

˙

x(t),v+At,x(t),v=f(t),v

for allvRN and almost alltI. The precise hypotheses on the data of problem () are

the following:

H(A): A:I×RNRN is a nonlinear function such that (i) tA(t,x)is measurable;

(ii) for eachtI, the operatorA(t,·) :RNRNis uniformly monotone and

hemicontinuous, that is, there exists a constantp> such that (A(t,x) –A(t,x),x–x)≥px–xfor allx,x∈RN.

H(F): F:R×RNP

kc(RN)is a multifunction such that

(i) (t,x)→F(t,x)is graph measurable;

(ii) for almost alltI,xF(t,x)ish-continuous; (iii) there exist a nonnegative functionb(·)∈L

+(I)and a constantc> such that

F(t,x)=supf:fF(t,x) ≤b(t) +cxα

for allxRN,tT, whereα< .

We still need the following lemma.

Lemma .(see []) If the hypothesis H(A)holds,consider the equation

˙

x+A(t,x) =f(t) a.e. tI, ()

where fL([,T];RN).Then problem()has a unique T -anti-periodic solution.

Theorem . If hypotheses H(A)and H(F)hold,then problem()has at least one solution.

Proof We defineL:W,(I;RN)L([,T];RN) asLx=x˙+A(t,x) andx() = –x(T). By

Lemma ., we haveL:W,(I;RN)L([,T];RN) is one to one and surjective, and so

L–:L([,T];RN)W,(I;RN) is well defined. As in the proof of Theorem ., we obtain

a prioribound forSewhich denotes the solution set of problem (). We know that there

exist Mi> ,i= , , such thatx,<M andxC(I,H)<M for allxSe. Let ψ(t) =

b(t) +CM,ψ(t)∈L+(I). We may assume that|F(t,x)| ≤ψ(t), a.e. onIfor allxRN. So

let

W=vLq(I,H) :v(t)Hψ(t) a.e. onI ,

thenKˆ =L–(W)W,(I;RN) is compact convex subset inC(I,H). ObviouslyKˆ is

con-vex. We only need to show the compactness. Let{xn}n≥⊂ ˆK, then there existshnW

such that L(xn) =hn, i.e. x˙n=hnA(t,xn). By the definition ofW, soW is uniformly

bounded inL([,T];RN). By the Dunford-Pettis theorem, passing to a subsequence if

necessary, we may assume thathnhinL([,T];RN) for somehW. From the

defini-tion ofW, we have

xnW,=L –(Lx

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Therefore, the sequence {xn}n≥ ⊂ W,(I;RN) is bounded. Because of the

compact-ness of the embeddingW,(I;RN)L([,T];RN), we find that the sequence{x n}n≥⊂

L([,T];RN) is relatively compact. So by passing to a subsequence if necessary, we

may assume that xnx in L([,T];RN). Moreover, by the boundedness of the

se-quence {xn}n≥ ⊂ W,(I;RN), it follows that the sequence {˙xn}n≥ ⊂ L([,T];RN) is

uniformly bounded and passing to a subsequence if necessary, we may assume that

˙

xnx˙ inL([,T];RN). Since the embeddingW,(I;RN)⊂C(I;RN) is continuous and

W,(I;RN)L([,T];RN) is compact, it follows thatx

nxinC(I;RN) andxnxin

L([,T];RN). Hence,x

nxin RN for alltI\, m() =  (m being the Lebesgue

measure on R). Since A is hemicontinuous and monotone. Thus, A(t,xn)A(t,x) in

L([,T];RN) and asn→ ∞, we obtainx˙+A(t,x) =ha.e. onI andx() = –x(T). Note

that

˙

xnx˙+

A(t,xn) –A(t,x)

=hnh.

Taking the inner product above withxnxand integrating from  toT, one can see that

T

A(t,xn) –A(t,x),xnx

dt

= T

(hnh,xnx)dt

T

(x˙nx˙,xnx)dt

≤ T

ψxnxdt

≤ψLxnxL→ asn→ ∞. ()

By hypothesisH(A), it follows that

T

A(t,xn) –A(t,x),xnx

dtp

T

xnxdt

→ asn→ ∞. ()

So, we can findτI\such that

xn(τ) –x(τ)→ asn→ ∞.

Using the integration by parts formula for functions inW,(I;RN), for anytIwe have

xn(t) –x(t)=xn(τ) –x(τ)+ 

t

τ

˙

xn(s) –x˙(s),xn(s) –x(s)

ds

xn(τ) –x(τ) 

+ ϕ(t)Lxn(t) –x(t)L. ()

By (), we see that

max

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So,xn(t)→x(t) inC(I;RN). Sincex=L–(h) with hW, we conclude that L–(W)⊆

C(I;RN) is compact. From Lemma ., we can find a continuous mapf :Kˆ →L(I;RN) such thatf(x)(t)∈ExtF(t,x(t)) a.e. onIfor allx∈ ˆK. ThenL–◦f is a compact operator. On applying the Schauder fixed point theorem, there exists ax∈ ˆKsuch thatx=L–f(x).

This is a solution of (), and soSe=∅inW,(I;RN).

For the relation theorem of problem (), we need the following definition and hypothe-ses.

Definition .(see []) The multifunction mappingF:I×RNP

k(RN) is called

‘one-sided Lipschitz (OSL)’ continuous if there is an integrable functionω:IR+such that

for everyx,yRN,tI, andvF(t,x) there existsuF(t,y) such that

(vu,xy)≤ω(t)xy.

Under the above hypotheses, let S denote the solution set of the equation x˙(t) + A(t,x(t))∈F(t,x),x() = –x(T).

Theorem . If hypotheses H(A)and H(F)hold and,moreover,F(t,x)satisfies the OSL condition,we have Se=S,where the closure is taken in C(I;RN).

Proof LetxS, then there existfL(I;RN) andf(x)(t)F(t,x(t)) a.e. onI, such that

˙

x(t) +At,x(t)=f(t,x),

x() = –x(T).

()

As before letW={vL(I;RN) :vψ(t) a.e. onI}, thenKˆ =L–(W)⊆W,(I;RN) is compact convex subset inC(I;RN). For everyy∈ ˆK, we define the multifunction

Q(t) =

vF(t,y) : (fv,xy)≤ω(t)xy+ .

Clearly, for everytI,Q(t)=∅, and it is graph measurable. On applying the Aumann

selection theorem, we get a measurable functionv:IRN such thatv(t)Q

(t) almost

everywhere onI. So we define the multifunction

R(y) =

vSF(·,y): (fv,xy)≤ω(t)xy+ .

We see thatR :Kˆ →L(I;RN)

has nonempty and decomposable values. It follows from Theorem  of [] thatR(·) is LSC. ThereforeyR(y) is LSC and has closed and

de-composable values. So we apply Lemma . to get a continuous mapf :Kˆ →L(I;RN)

such thatf(y)∈R(y) for ally∈ ˆK. Invoking II-Theorem . of [] (in [, p.]), we

can find a continuous mapg:Kˆ →L(I;RN) such thatg(y)(t)∈ExtF(t,y) almost

every-where onI, andf(y) –g(y) ≤for ally∈ ˆK. Now let→ and setfn=f,gn=g.

Note thatgn(y) ≤ψ(t) a.e. onIwithψL(I;RN), so we havegnfninL(I;RN). We

consider the following problem:

˙

x(t) +A(x)(t) =gn(x)(t),

x() = –x(T),

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where gn(x)∈ExtR(x). We see thatL–gn:Kˆ → ˆK is a compact operator and by the

Schauder fixed point theorem, we obtain a solutionxnSeW,(I;RN) of (). We see

that the sequence{xn}n≥⊂ ˆKis uniformly bounded. So by passing to a subsequence if

necessary, we may assume thatxnxˆinW,(I;RN). From the proof of Theorem ., we

know thatxn→ ˆxinC(I,H) andxˆ() = –xˆ(T). Note thatLxnLx=gn(xn) –f(x). So, we

have

˙

xn(t) –x˙(t),xn(t) –x(t)

+A(xn)(t) –A(x)(t),xn(t) –x(t)

=gn(xn)(t) –f(x)(t),xn(t) –x(t)

.

However,

A(xn)(t) –A(x)(t),xn(t) –x(t)

≥ a.e.I.

Then,

˙

xn(t) –x˙(t),xn(t) –x(t)

gn(xn)(t) –f(x)(t),xn(t) –x(t)

=gn(xn)(t) –fn(xn)(t),xn(t) –x(t)

+fn(xn)(t) –f(x)(t),xn(t) –x(t)

.

BygnfninL(I;RN) andxn→ ˆxinL(I;RN), we have

gn(xn)(t) –fn(xn)(t),xn(t) –x(t)

=gn(xn)(t) –fn(xn)(t),xn(t) –xˆ(t)

+gn(xn)(t) –fn(xn)(t),xˆ(t) –x(t)

→ a.e.I. ()

Hence, there exists a constantN> , and one has

gn(xn)(t) –fn(xn)(t),xn(t) –x(t)<

asn>N. It follows that

 

d

dtxnx

=x˙

n(t) –x˙(t),xn(t) –x(t)

gn(xn)(t) –fn(xn)(t),xn(t) –x(t)

+fn(xn)(t) –f(x)(t),xn(t) –x(t)

fn(xn)(t) –f(x)(t),xn(t) –x(t)

+

ω(t)xnx

+. ()

LetSn(t) =xnx, thenS˙n(t)≤ω(t)Sn(t) + . Integrating over () from  tot, one has

Sn(t)≤

t

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By using the Gronwall inequality, we have

Sn(t)≤

t

ω(s)Sn() + s

exp(μ)ds+S

n() + t.

Fromgn(x)(t)∈F(t,x), we know thatSn() = . Let→, we haveSn(t)→,i.e.x(t) –

x(t) → for anytI. Therefore,x=xˆ,i.e. xxandxSe, and soSSe. AlsoSis

closed inC(I,H) (see the proof of Theorem .), thusS=Se.

4 An application

We present an example of a nonlinear anti-periodic distributed parameter control sys-tem, with a priorifeedback (i.e.state dependent control constraint set). LetT = [,b],

˙

x= (x˙,x˙, . . . ,x˙N). Consider the following control system:

⎧ ⎪ ⎨ ⎪ ⎩

˙

x+a(t,x)x=g(t,x)u(t) a.e. onT, x() = –x(b),

u(t)∈ExtU(t,x(t)) a.e. onT.

()

The hypotheses on the data () are the following.

H(a): a:T×RNR+,g:T×RNRare Carathéodory functions such that for almost

alltT

 <θ≤a(t,x)≤θ,

g(t,x)η(t) +η(t)|x|α,

withθ,θ> , <α< ,η(t)∈L+(T),η(t)∈L∞(T).

H(U): U:T×RNP

kc(RN)is a multifunction such that

(i) for allxRN,tU(t,x)is measurable;

(ii) for alltT,xU(t,x)ish-continuous;

(iii) for almost alltT and allxRN,|U(t,x)| ≤γ, withγ > .

LetA:T×RNRN be the operator defined byA(t,x) =a(t,x)x. Evidently, using

hy-pothesisH(a), it is straightforward to check thatAsatisfies hypothesisH(A). Also, let F:T×RN P

kc(RN) be defined by

F(t,x) =yRN:y(t) =gt,x(t)u(t),u(t)∈Ut,x(t)a.e. onT .

Using hypothesesH(a) andH(U), it is straightforward to check thatFsatisfies hypothesis H(F).

Rewrite problem () in the following equivalent evolution inclusion form:

˙

x+A(t,x(t))∈ExtF(t,x) a.e. onT,

x() = –x(b). ()

We can apply Theorem . on problem () and obtain the following.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed equally and significantly in writing this paper. All authors read and approved the final version.

Author details

1School of Aerospace Engineering, Beijing Institute of Technology, Beijing, 100081, P.R. China.2Department of

Mathematics, Bohai University, Jinzhou, 121013, P.R. China.3Center of Teaching Innovation and Evaluation, Bohai University, Jinzhou, 121013, P.R. China.4Department of Foundation, Aviation University of Air Force, Changchun, 130022, P.R. China.

Acknowledgements

The first author was also supported by NSFC Grant 11172036. The authors are also thankful to the referee for careful reading of the paper and valuable comments.

Received: 5 September 2013 Accepted: 24 February 2014 Published:12 Mar 2014

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