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R E S E A R C H

Open Access

Approximate controllability of nonlinear

stochastic partial differential systems with

infinite delay

Hanwen Ning

1*

and Guangyan Qing

2

*Correspondence:

[email protected]

1School of Statistics and

Mathematics, Zhongnan University of Economics and Law, Wuhan, 430073, P.R. China

Full list of author information is available at the end of the article

Abstract

This paper aims to investigate approximate controllability of stochastic nonlinear partial differential systems with infinite delay. In the systems under study, nonlinearity and control variable exist both in drift and diffusion terms, and controllability

problems are considered in the framework with a novel Banach space, which not only leads to some difficulties in deriving the properties of interest but also bring some opportunities to study the system in a more general framework. With the help of a new fundamental lemma established in this paper and some useful inequality techniques, some improved results for approximate controllability of stochastic partial differential systems are obtained by using the Banach contraction theorem without introducing any additional restraints on the terms of the system. An example of stochastic heat equation is also provided to illustrate our results.

Keywords: stochastic; partial differential systems; approximate controllability; Banach contraction theorem; infinite delay

1 Introduction

Stochastic partial differential systems are usually used to describe physical and engi-neering phenomena such as heat process, population dynamics, chemical reactors, fluid dynamics,etc. and have been widely investigated (for instance, [–] and references therein). As an important concept in control theory, controllability of dynamical systems has been also investigated by many researchers. In [–], Mahmudov developed several concepts of controllability for linear stochastic differential systems and extended the clas-sical theory for deterministic dynamical systems to stochastic cases. The authors in [, ] considered weak, complete, and exact controllability of semilinear stochastic systems and stochastic functional differential in Hilbert spaces, and the obtained results therein can be applied to the stochastic systems with kinds of delays. Moreover, with the help of semigroup theory, sufficient conditions for the controllability of stochastic integrodiffer-ential systems were derived in [, ].

It should be also noted that the controllability problems can be transformed into fixed point problems. Fixed point principles such as Banach contraction theorem, Nussbaum theorem and Schauder fixed point theorem are frequently used and considered as an im-portant technique in solving the controllability problems. By employing an axiomatic defi-nition of the phase space introduced in [, ], Balasubramaniam and Ntouyas []

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tigated controllability of neutral stochastic differential inclusions with infinite delay with the aid of Leray-Schauder nonlinear alternative. Sufficient conditions for controllability of neutral functional integrodifferential infinite delay systems in Banach spaces were stud-ied in [] with the Nussbaum fixed point theorem. Bao and Jiang [] considered the approximate controllability of stochastic partial differential equations with infinite delay. Recently, in [, ], by using the Schauder fixed point theorem and the fixed point theo-rem for condensing maps due to Martelli, the authors derived some sufficient conditions for controllability of functional differential systems with infinite delay in a deterministic case.

However, most of the results for the stochastic systems mentioned above focus on either finite delays or without delays. Since many systems arising from realistic models greatly depend on histories, it is highly relevant to discuss stochastic differential systems with infinite delays, and few works are available for the controllability properties on this case. Therefore, in this paper, we study the approximate controllability of a class of nonlinear stochastic partial differential systems with infinite delays. This kind of system can be found in many engineering practices, especially those relating to continuum physics, vibration control, and thermodynamics [–]. Nonlinearity and control input exist both in the drift and diffusion terms of the underlying equation, and the control problem of interest is considered in the framework with a novel Banach space. This may not only enable the system under study to be a more general case compared to [], but also bring some diffi-culties in moment estimations and in employing the fixed point theorem. To this objective, an important lemma is established, which greatly facilitates the development of the main result of this paper. Together with the aid of some useful inequality formula adopted in the proof, improved approximate controllability results of the systems under study can be obtained without imposing any additional restraints on the system. An example is given to illustrate our results.

The rest of the paper is organized as follows. In Section , we introduce the basic nota-tions and defininota-tions. In Section ., we introduce Banach spacesBhandBαh and prove an

important inequality. In Section ., we give the controllability results. In the last section, an example of stochastic heat equation is given to illustrate our results.

2 Preliminaries

In this section, we will briefly give some basic assumptions and definitions.

LetKandHbe two separable Hilbert spaces. We denote by| · |and| · |Kthe norms in H andK, respectively, by·,·the scalar product inH.L(K,H) denotes the space of all bounded linear operators fromKintoH. · is also used to denote the norm in an ordi-nary Banach space. Let (,,t,P) be a complete probability space with a filtration{t}

satisfying the usual condition (i.e., the filtration contains all P-null sets and is right con-tinuous). Letwn(t) (n= , , , . . .) be a sequence of real-valued one-dimensional standard

Brownian motions mutually independent on (,,t,P). Set

W(t) =

n=

σnwn(t)en, t≥,

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we denote byGits Hilbert-Schmidt norm,i.e.,

G=trGQG∗.

We first give an abstract phase spaceBh.

Assume that h: (–∞, ]→(,∞) is a continuous function withl=h(s)ds<∞. Define

Bh=

φ: (–∞, ]→is continuous on [–a, ] for anya> , and

 –∞

h(s) sup

s≤θ≤

φ(θ)ds<∞

.

Bhis a Banach space endowed with the norm

φBh=

 –∞h(s)

sup

s≤θ≤

φ(θ)ds for∀φBh.

The above conclusion will be proved in the next section. In the present paper, we are in-terested in the controllability problem of the following system:

⎧ ⎨ ⎩

dx(t) = [–Ax(t) +Bu(t) +f(t,xt,u(t))]dt+g(t,xt,u(t))dw(t), t∈[,T),

x(t) =ξ(t), t∈(–∞, ], ()

where –A is a closed, densely defined linear operator generating an analytic semi-group S(t), t≥ on H. Let  <α < , and define the Banach space D() with the

norm =|Aαx| for xD(), where D() denotes the domain of a fractional

power operator : H H []. Denote =D(Aα), define Bα

h ={φ : (–∞, ] → |φis continuous on [–a, ] for anya> , andh(s)sups≤θ≤φ(θ)αds<∞}. LetU

be another separable Hilbert space,u(t) is aUvalued process andBis a bounded linear op-erator fromUtoH. We also assume thatf : (R

h×U)→Handg: (RBαh×U)→ L(K,H) are two measurable mappings, whereL(K,H) denotes the space of bounded linear operators from K to H with the Hilbert-Schmidt norm. For initial datum ξ, let ξLp(,,P;Bα

h)≡Lp(,B α

h), and we always assumep> . Moreover, denote histories xt: (–∞, ]→Hbyxt(θ) =x(t+θ) for –∞<θ≤.

Definition . A stochastic processxis said to be a mild solution of () if the following conditions are satisfied.

() x(t,ω)is measurable as a function from[,TtoH, andx(t)istadapted.

() E|x(t)|p<for eacht(–, ].

() For eachuL

t(;L

p(,T;U))(u(t)is

tadapted, andE T

u(t)pdt<∞) the

processxsatisfies the following equation:

x(t) =S(t)ξ() +

t

S(ts)Bu(s)ds+

t

S(ts)fs,xs,u(s)ds

+

t

S(ts)gs,xs,u(s)dw(s), t> ,

x=ξLp

, h

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Remark . The dynamic system is controlled byu(t). Sometimes, control termu(t) af-fects the system not only in a linear manner, but also in a nonlinear way [, ]. Especially for stochastic differential systems,u(t) exists in both the diffusion and drift terms. These cases are all taken into consideration in the present study.

Definition . System () is said to be approximately controllable on [,T] if

R(T) =Lp(,,P;H),

whereR(T) ={x(T) =x(T,u) :uLp(,T;U)}.

Lemma .[] For any h∗∈Lp(,,P;H),there existsϕLp(;L(,T;L

(K,H)))such

that

h∗=Eh∗+

T

ϕ(t)dw(t).

Lemma .[] IfϕL(,T;L(K,H)),AαϕL(,T;L(K,H))andϕ(t)kHαfor t

and arbitrary kK,then

t

ϕ(s)dw(s) =

t

Aαϕ(s)dw(s).

Lemma . Let p> ,Lp(;L(,T;L

(K,H))),we have

E

sup

≤s≤t

s(r)dw(r)

p

cp sup

≤s≤tE

s(r)dw(r)

p

CpE t

(r)dr p

, t∈[,T],

where cp= (pp–)pand Cp= (p(p– ))p( p p–)

p  .

Lemma .[] LetA be the infinitesimal generator of an analytic semigroup S(t).If∈

ρ(A),then

() There exist a constantM≥and a real numbera> such that

S(t)hMeat|h| for allt≥andhH.

() There exists a constantMαsuch that the fractional power operatorAαsatisfies that AαS(t)hMαeattα|h| for allt≥andhH.

() Let <α≤andhD(),there exists a constantsuch that S(t)hhNαtαAαh for alltandhH.

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(A) ∈ρ(A).

(A) For anyη,η∈Bαh,υ,υ∈Uand≤tT, there exists a constantKsuch that

f(t,η,υ) –f(t,η,υ)p+g(t,η,υ) –g(t,η,υ)p

K

η–ηpBα

h+υ–υp,

f(t,η,υ)p+g(t,η,υ)pK

 +ηpBα h+υ

p.

(A∗) For anyη,η∈Bαh,υ,υ∈Uand≤tT, there exists a constantKsuch that

f(t,η,υ) –f(t,η,υ)

p

+g(t,η,υ) –g(t,η,υ)

p

K

η–ηpBα

h+υ–υp,

f(t,η,υ)

p

+g(t,η,υ)

p

≤K.

(A) For each≤s<T, the operatorλ(λI+sT)–→in the strong operator topology as

λ→+, whereT s =

T

s S(Tr)BBS∗(Tr)dris the controllability Grammian.

3 Main results

3.1 Banach spacesBhandBαh

In this section we prove thatBhand

h are two Banach spaces and establish an important

lemma, which will be used in the next section.

It is obvious that · Bh is a norm. Following a similar discussion in [] and [], the

following lemma can be obtained.

Lemma . For anyε> and k> ,there existsδ=δ(ε,k) > such that for anyη,η∈Bh,

ifη–ηBhδ,thensup–k≤τ≤|η(τ) –η(τ)| ≤ε.

Lemma . Let Xa={xXais an H valued continuous function defined on[–a, ],where a is a positive constant andsupa≤t≤|x(t)|<∞},then Xais a Banach space endowed with the normx=supa≤t≤|x(t)|.

Lemma . Bhis a Banach space.

LetBT ={xBT|xis anHvalued continuoust adapted process defined on (–∞,T], Esup≤t≤T|x(t)|p<∞andx=AαξLp(,Bh)}. Heret :=for allt≤. We take a

seminorm · Tdefined by

xT=

ExpBh

p+E sup

≤t≤T x(t)p

p

.

In the following, an important lemma is established, which will play a crucial role in the development of the main results in the next section.

Lemma . Assume xBT,then for t∈[,T],xtLp(,Bh),and

lpEx(t)pExtpBh≤

p–lpE sup

≤s≤t

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Proof For anyt∈[,T], we have

In the following, we give the controllability results.

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LetBT={x|xBT,x= ∈Lp(,Bh)}, and for anyxBT,

xT=

ExpBh

p+E sup

≤t≤T

x(t)p

p

=E sup

≤t≤T

x(t)p

p

.

It is obvious thatBTis a Banach space with the norm·T= (Esup≤t≤T|x(t)|p) 

p. Forξ(t),

we define

ξ(t) =

⎧ ⎨ ⎩

ξ(t), t(–, ], S(t)ξ(), tJ,

andξ(t)∈Lp(,B h). Let

(t) =(t) –ξ(t) and Y(t) =Z(t) –ξ(t),

then it can be easily concluded thatY(t)∈B

T. Define an operatorλonBT×C(J,LP(,

,P;U)) byλ(Y,u)(t) = ((t),(t)) for (Y,u)∈BT×C(J,LP(,,P;U)), whereBT× C(J,LP(,,P;U)) is a Banach space with the norm · =Y

T+u. Then from the

above definition of (,uλ), it holds that

⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

(t) =t

A

αS(ts)Buλ(s)ds+t

A

αS(ts)f(s,Aα(Ys+ξ

s),u(s))ds

+tAαS(ts)g(s,Aα(Ys+ξ

s),u(s))dw(s), tJ, (t) = , t(–, ],

(t) =BS(Tt)(λI+T

)–(EhS(T)ξ())

BS∗(Tt)t(λI+Ts)–S(Ts)f(s,Aα(Y

s+ξs),u(s))ds

BS∗(Tt)t(λI+T s)–

×[S(Ts)g(s,Aα(Y

s+ξs),u(s)) –ϕ(s)]dw(s), tJ.

()

By Lemma ., we also remark that for anytJ,

EAα(Yt+ξt)pBα

h =EYt+ξt p Bh

EYtBh+ξtBh p

≤p–EYtpBh+ p–tpB

h

≤p–EYpBh+  p–Eξ

p Bh+ 

p–lpE sup

≤s≤t Y(s)p

+ p–lpE sup

≤s≤t ξ(s)p

≤p–

EξpBα

h+l pE sup

≤t≤T

Y(t)p+lpE sup

≤t≤T

S(t)Aαξ()p

≤p–EξpBα h+l

pYp

T+lpMpEA αξ

()p.

It can be seen that the operatorλhas a fixed point onBT×C(J,Lp(,,P;U)) if and only

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Lemma . Let <α<p–p,and(A), (A)hold,then for anyλ> ,the operatorλmaps BT×C(J,LP(,,P;U))into B

T×C(J,LP(,,P;U)).

Proof We just need to prove that(t) anduλ(t) are bounded onJand continuous inLp

sense onJ. By (A), (A), the Hölder inequality and the Burkholder-Davis-Gundy

inequal-ity, we have

Euλ(t)p =EBS(Tt)λI+T

–

EhS(T)ξ()

BS∗(Tt)

t

λI+sT–S(Ts)fs,Aα(Ys+ξs),u(s)ds

BS∗(Tt)

t

λI+sT–

×S(Ts)gs,Aα(Ys+ξs),u(s)–ϕ(s)dw(s)

p

≤p–BS∗(Tt)λI+T–Ehp

+ p–EBS∗(Tt)λI+T–S(T)ξ()p + p–EBS∗(Tt)

t

λI+sT–S(Ts)fs,Aα(Ys+ξs),u(s)ds p

+ p–EBS∗(Tt)

t

λI+sT–S(Ts) ×gs,Aα(Ys+ξs),u(s)dw(s)

p

+ p–EBS∗(Tt)

t

λI+sT–S(Ts)ϕ(s)dw(s)

p

=I+I+I+I+I.

For each one

I= p–BS∗(Tt)

λI+T–Ehp≤p–BpMp

λp|Eh| p,

I= p–EBS∗(Tt)

λI+T–S(T)ξ()p≤p–BpMp

λpEξ() p

,

I= p–E

BS∗(Tt)

t

λI+Ts–S(Ts)fs,Aα(Ys+ξs),u(s)ds p

≤p–BpMp

λpT p–E t

fs,Aα(Y

s+ξs),u(s) p

ds

≤p–BpMp

λpT p– t

K

 +EAα(Ys+ξs)pBα h+E

u(s)pds

≤p–BpMp

λpT pK

 + p–Eξp h+l

pYp

T+lpMpEA

αξ()p+up,

I= p–E

BS∗(Tt)

t

λI+Ts–S(Ts)gs,Aα(Y

s+ξs),u(s)

dw(s)

p

≤p–BpMpCpE t

λI+sT–S(Ts)gs,Aα(Y

s+ξs),u(s)

 ds

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≤p–CpBpMp

λp(t–t) p –E

T

ϕ(s)ds p

+ p–C

pBpMp

λpT

p –E

T

ϕ(s)ds p

S∗(t–t) –I

p

.

From the above equations, we can obtain that E|(t

) –(t)|p→ ast→t. Then

(t) is continuous inLp sense onJanduλ(t)C(J,Lp(,,P;U)). Moreover, forYλ(t)

andt≥, we have

E sup

≤s≤t

(s)p =E sup

≤s≤t

sAαS(sr)Buλ(r)dr

+

s

AαS(sr)fr,Aα(Yr+ξr),u(r)dr

+

s

AαS(sr)gr,Aα(Yr+ξr),u(r)dw(r)

p

≤p–E sup

≤s≤t

sAαS(sr)Buλ(r)dr p

+ p–E sup

≤s≤t

sAαS(sr)fr,Aα(Yr+ξr),u(r)dr p

+ p–E sup

≤s≤t s

AαS(sr)gr,Aα(Yr+ξr),u(r)dw(r)

p

I+I+I.

Let p+q= . From Lemma ., it can be obtained that

I= p–E sup ≤s≤t

s

AαS(sr)Buλ(r)dr p

≤p–E sup

≤s≤t s

AαS(sr)Buλ(r)dr p

≤p–E sup ≤s≤t

s

Mαea(sr)(sr)αBuλ(r)dr p

≤p–BpMpαE sup

≤s≤t s

(sr)–αqds p

q s

(r)pdr

= p–BpMpαE sup

≤s≤t

s–αq

 –αq p

q s

(r)pdr

= p–BpMpαE

t–αq

 –αq p

q t

(s)pds

≤p–BpMpα

T–αq

 –αq p

q

Tuλp,

I= p–E sup ≤s≤t

sAαS(sr)fr,Aα(Yr+ξr),u(r)dr p

≤p–E sup

≤s≤t s

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+ p–CpMpαN p

α(t–t)

p– p

(T)––p

 –pαp–

p– p

×TK

 + p–EξpBα h+l

pYp

T+lpMpEA αξ

()p+up.

Then it is clear thatE|(t

) –(t)|p→ ast→t, therefore(t) is continuous inLp

sense.

From all inequalities above, we conclude that the operatorλmapsBT×C(J,LP(,

,P;U)) intoBT×C(J,LP(,,P;U)). The proof is completed.

Lemma . Let <α<p–p,and(A), (A)and Lp with p lower case hold,then for any

λ> ,the operatorλhas a unique fixed point in BT×C(J,LP(,,P;U)).

Proof The proof is based on the Banach fixed point theorem for contractions. In the proof, we takeλ(Y,u)(t) = (Yλ(t),(t)) andλ(Y,u)(t) = (Yλ(t),(t)). Then we have

Euλ(t) –(t)p =EBS∗(Tt)

t

λI+sT–S(Ts)fs,Aα(Ys+ξs),u(s)

fs,Aα(Ys+ξs),u(s)

ds

+BS∗(Tt)

t

λI+sT–S(Ts)gs,Aα(Ys+ξs),u(s)

gs,Aα(Y

s+ξs),u(s)

dw(s)

p

≤p–EBS∗(Tt)

t

λI+Ts–S(Ts)fs,Aα(Ys+ξs),u(s)

fs,Aα(Ys+ξs),u(s)

ds

p

+ p–EBS(Tt) t

λI+Ts–S(Ts)gs,Aα(Y

s+ξs),u(s)

gs,Aα(Ys+ξs),u(s)

dw(s)

p

≤p–BpMp

λpT p–E t

fs,Aα(Ys+ξs),u(s)

fs,Aα(Ys+ξs),u(s)

p ds

+ p–BpMp

λpT p –E

t

g

s,Aα(Ys+ξs),u(s)

gs,Aα(Ys+ξs),u(s)pds

≤p–BpMp

λpT p–K

t

EAα(Ys+ξs) –Aα(Ys+ξs) p h

+Eu(s) –u(s)

p

ds+ p–BpMp

λpT p –

×K

t

EAα(Ys+ξs) –Aα(Ys+ξs) p

h+Eu(s) –u(s) p

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≤p–BpMp

which yields that there exists a constantKsuch that

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(18)
(19)
(20)

≤p–

E sup

≤t≤T

Y(t) –Y(t)p+ sup

≤t≤T

Eunλ (t) –unλ (t)p

LY–YpT+u–up

LY–YT+u–u

p

,

which implies

nλ(Y,u) –(Y,u)≤L

pY

–Y+u–u

<Y–Y+u–u

=(Y,u) – (Y,u).

This shows that for large enoughn,nλis a contraction. Thus,λhas a unique fixed point

inBT×C(J,Lp(,,P,U)). We complete the proof. Remark . The general Banach spaceB

T×C(J,Lp(,,P;U)) and the operatorλare

constructed to transform the controllability problem into a fixed point problem. It shall be emphasized that the fundamental Lemma . is purposely established, which plays an important role in obtaining the boundedness of the operator and in solving the problems brought by the infinite delays. Although the control input and nonlinearity exist both in the drift and diffusion terms of the system, which makes it complicated to prove the con-traction property of the operator, some inequality techniques are deliberately adopted as demonstrated in the proof of Lemma ., which can effectively overcome the difficulty. With these techniques, the main conclusion will be established in a more general space with less restrictive conditions.

For any λ> , let (,uλ) be the fixed point of

λ, (t) =(t) +ξ(t) and(t) = AαZλ(t). Then (Zλ(t),uλ(t)) is the unique fixed point of the operator

λ, and(t) is a

solution of system (). We also have

(t) =S(t)ξ() +tS∗(Tt)λI+T–Eh∗–S(T)ξ() +

t

IstS∗(Tt)λI+sT–S(Tt)S(Ts)fs,s,(s)ds

+

t

IstS∗(Tt)λI+sT–S(Tt)S(Ts)gs,s,(s)dw(s)

+

t

stS∗(Tt)λI+sT–ϕ(s)dw(s), tJ,

(t) =ξ(t), t≤.

Lettingt=Tin the equation above, it can be obtained that

(T) =h∗–λλI+T–EhS(T)ξ() –λ

T

λI+sT–S(Ts)fs,s,(s)ds

λ

T

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Theorem . Under hypotheses(A), (A∗),and(A),system()is approximately

control-lable on[,T].

Proof By (A∗),|f(t,η,u)|p+g(t,η,u)p ≤K in [,Tfor anyη∈h andu∈

U. Then there exists a subsequence, still denoted by{f(s,

s,(s)),g(s,xλs,(s))}, weakly

converging to some{f(s),g(s)}inH×L

(K,H). By (A), we also haveλ(λI+Ts)– ≤

for ≤sT[]. From the compactness ofS(t), we obtain that, in [,T,

S(Ts)fs,s,(s)→S(Ts)f(s),

S(Ts)gs,s,(s)→S(Ts)g(s).

Meanwhile

Exλ(T) –hp

≤p–λλI+T–EhS(T)ξ()p

+ p–E T

λλI+T–S(Ts)fs,s,(s)–f(s)ds p

+ p–E T

λλI+T–S(Ts)f(s)ds p

+ p–E T

λλI+T–S(Ts)gs, s,(s)

g(s)ds p

+ p–E T

λλI+T–S(Ts)g(s)ds p

+ p–E T

λλI+T–ϕ(s)ds p

.

By the dominated convergence theorem and (A) (i.e.,λ(λI+Ts)–→ in strong

oper-ator topology asλ→+),E|xλ(T) –h|p asλ+, which implies the approximate

controllability of system (). The proof is completed.

Remark . It shall be noted that a similar but rather preliminary result has been devel-oped in [], where the initial datum of the systemξLp(,Ch

α) and the delays are

consid-ered in the spaceLp(,Ch

α), whereCαh={xC(R–,)| 

–∞h(s)sups≤τ≤x(τ)

p

αds<∞}.

Since

 –∞h(s)

sup

s≤τ≤

x(τ)αds=

 –∞h(s)

qh(s)psup s≤τ≤

x(τ)αds

≤ 

–∞h(s)ds

q

–∞h(s)

sup

s≤τ≤

x(τ)pαds

p

=lq

 –∞h(s)

sup

s≤τ≤

x(τ)pαds

p

,

it is clear that

hChα. That is, a more general space is studied in this paper. Moreover,

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 <α< p–p. Clearly, the result in [] could not be well applied to the cases which are studied in this paper.

4 An example

Heat equation describes the flow of heat by conduction through a stationary homoge-neous, isotropic material. As an application of our results, we consider a heat equation system described by the following stochastic partial differential equation:

⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩

dv(t,x) = (–∂xv(t,x) +b(x)u(t) + t

–∞e(st)v(s,x)ds)dt

+ (te(st)v(s,x)ds+log( +|u(t)|))dw(t),

tJ= [,T], ≤xπ,

v(t, ) =v(t,π) = , t≥,

v(s,x) =ξ(s,x)∈Lp(,Bα

h), s∈(–∞, ], ≤xπ.

()

Herev(t,x) denotes the temperature at timet.u(t) is the control term to enable the system temperature achieve the target value approximately for a given timeT. LetH=L(,π)

be endowed with the usual norm · L,h(s) =es, 

h(s)ds=. Note that there exists a

complete orthonormal set{en},n≥, of eigenvectors ofAwithen(x) =

π. The analytic

semigroupS(t),t≥, is generated byAsuch that

=

n=

nρ,enen, ρD(A),

S(t)ρ=

n=

en,enen, ρH.

We define(actually|A|α) for the self-adjoint operatorAby the classical spectral

theo-rem, and it can be obtained that

|A|αeAtρ=

n=

nαen,enen,

which yields

Aα

eAtρ=

n=

nαe–n,en

=

n=

ntαe–(n–a),en.

On the other hand, for anyζ,ζandζ, we have

ζL = π

ζ(x)dx

=

n=

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n=

nαζ,en

=ζ=ζ

α,

and

ζ–ζL = π

ζ(x) –ζ(x) 

dx

=

n=

ζ–ζ,en

n=

nαζ

–ζ,en

=Aαζ=ζ–ζα.

For anyφBh,φ(s)(x) =φ(s,x), (s,x)∈(–∞, ]×[,π], it is clear thatf(t,φ) =g(t,φ) = 

–∞e(s)(x)ds, and forφ,ψBh, f(t,φ) –f(t,ψ)L =

π

  –∞

esφ(s)(x) –ψ(s)(x)ds

dx

≤ 

–∞e

sds

π

  –∞e

sφ(s)(x) –ψ(s)(x)ds dx

=  

 –∞

es π

φ(s)(x) –ψ(s)(x)dx ds

=  

 –∞

e(s) –ψ(s)L 

≤ 

 –∞e

ssup s≤τ≤

φ(s) –ψ(s)L 

≤ 

–∞

es sup

s≤τ≤

φ(s) –ψ(s)Lds

= 

φψBαh.

Then the functionsf(t,φ) andg(t,φ) are globally Lipschitz continuous inφhand uni-formly bounded. On the other hand, it is known that the deterministic linear system cor-responding to () is approximately controllable on every [,t],t> , provided that for

n= , , . . . ,

π

b(x)en(x)dx= .

By Theorem ., we can ensure that system () is approximately controllable on [,T].

Remark . In system (), considering the initial datumξ, if letξ(s)α=e– 

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5 Conclusion

In this paper, improved approximate controllability results of a class of stochastic partial differential systems with infinite delays are obtained in a general case by using a fixed point theorem, stochastic analysis techniques and an important lemma established, which fills a gap of the research area of control theory for stochastic functional partial differential sys-tems. Moreover, intuitively, under more hypothesis, the controllability results established in this study could be also extended to the case of neutral type, which are frequently used to characterize some Burgers equations, vibration equations, Navier-Stokes equations,etc.

[]. Thus, it is an important and interesting topic to further study controllability prob-lems of the neutral stochastic partial differential systems, and the probprob-lems will be focused on in our future studies.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed equally in writing this article. All authors read and approved the final manuscript.

Author details

1School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, 430073, P.R. China.2Key

Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, P.R. China.

Acknowledgements

The authors sincerely thank the reviewers for their valuable comments and the editor for kind help on this paper. This research was supported by the National Natural Science Foundation of China (Grant No. 11301544).

Received: 3 November 2014 Accepted: 3 March 2015 References

1. Caraballo, T: Nonlinear partial functional differential equations: existence and stability. J. Math. Anal. Appl.262, 87-111 (2001)

2. Muller, TG, Timmera, J: Fitting parameters in partial differential equations from partially observed noisy data. Physica D171, 1-7 (2002)

3. Kevrekidis, PG: On a class of discretizations of Hamiltonian nonlinear partial differential equations. Physica D183, 68-86 (2003)

4. Pazy, A: Semigroups of Linear Operators and Applications to Partial Differential Equations. Springer, Berlin (1983) 5. Friedman, A: Stochastic Differential Equations and Applications. Academic Press, New York (1975)

6. Mao, X: Stochastic Differential Equations and Applications. Ellis Horwood, Chichester (1997)

7. Ockendon, J, Howison, S, Lacey, A, Movchan, A: Applied Partial Differential Equations. Oxford University Press, New York (1999)

8. Taniguchi, T: Successive approximations to solutions of stochastic differential equations. J. Differ. Equ.96, 152-169 (1992)

9. Taniguchi, T, Liu, K, Truman, A: Existence, uniqueness and asymptotic behavior of mild solutions to stochastic functional differential equations in Hilbert spaces. J. Differ. Equ.81, 72-91 (2002)

10. Da Prato, G, Zabczyk, J: Stochastic Equations in Infinite Dimensions. Cambridge University Press, Cambridge (1992) 11. Mahmudov, NI, Denker, A: On controllability of linear stochastic systems. Int. J. Control73, 144-151 (2000) 12. Mahmudov, NI: Controllability of linear stochastic systems in Hilbert spaces. J. Math. Anal. Appl.259, 64-82 (2001) 13. Mahmudov, NI: Controllability of linear stochastic systems. IEEE Trans. Autom. Control41, 724-731 (2001) 14. Bashirov, AE, Mahmudov, NI: On concepts of controllability for deterministic and stochastic systems. SIAM J. Control

Optim.37, 1808-1821 (1999)

15. Mahmudov, NI: Controllability of semilinear stochastic systems in Hilbert spaces. J. Math. Anal. Appl.288, 197-211 (2003)

16. Dauer, JP, Mahmudov, NI: Controllability of stochastic semilinear functional differential equations in Hilbert spaces. J. Math. Anal. Appl.290, 373-394 (2004)

17. Balachandran, K, Sakthivel, R: Controllability of neutral functional integrodifferential systems in Banach spaces. Comput. Math. Appl.39, 117-126 (2000)

18. Balachandran, K, Kim, JH, Karthikeyan, S: Controllability of semilinear stochastic integrodifferential equations. Kybernetika43, 31-44 (2007)

19. Hale, JK, Kato, J: Phase space for retarded equations with infinite delay. Funkc. Ekvacioj21, 11-41 (1978) 20. Hale, JK: Theory of Functional Differential Equations. Springer, Berlin (1977)

21. Balasubramaniam, P, Ntouyas, SK: Controllability for neutral stochastic functional differential inclusions with infinite delay in abstract space. J. Math. Anal. Appl.324, 161-176 (2006)

(25)

23. Bao, H, Jiang, D: The Banach spaces and with application to the approximate controllability of stochastic partial functional differential equations with infinite delay. Stoch. Anal. Appl.25, 995-1024 (2007)

24. Liu, B: Controllability of neutral functional differential and integrodifferential inclusions with infinite delay. J. Optim. Theory Appl.123, 573-593 (2004)

25. Liu, B: Controllability of nonlinear neutral evolution integrodifferential systems with infinite delay. J. Optim. Theory Appl.122, 87-109 (2004)

26. Caraballo, T, Langa, JA, Taniguchi, T: The exponential behaviour and stabilizability of stochastic 2D-Navier-Stokes equations. J. Differ. Equ.179, 714-737 (2002)

27. Temam, R: Infinite Dimensional Dynamical Systems in Mechanics and Physics. Springer, Berlin (1988)

28. Palazoglu, A, Karakas, A: Control of nonlinear distributed parameter systems using generalized invariants. Automatica

179, 714-734 (2002)

29. Carmona, RA, Rozovskii, B: Stochastic Partial Differential Equations: Six Perspectives. Am. Math. Soc., New York (1998) 30. Adomian, G: Nonlinear Stochastic Systems Theory and Applications to Physics. Springer, Berlin (2001)

31. Moran, MJ, Shapiro, HN: Fundamentals of Engineering Thermodynamics. Wiley, New York (1988)

32. Balachandran, K, Dauer, JP: Null controllability of nonlinear infinite delay systems with time varying multiple delays in control. Appl. Math. Lett.9, 115-121 (1996)

References

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