doi:10.7151/dmdico.1167
CONTROLLABILITY FOR SOME PARTIAL FUNCTIONAL INTEGRODIFFERENTIAL EQUATIONS WITH NONLOCAL
CONDITIONS IN BANACH SPACES
Khalil Ezzinbi
Université Cadi Ayyad, Faculté des Sciences Semlalia Département de Mathématiques, B.P. 2390 Marrakech, Morocco
e-mail: ezzinbi@uca.ma Guy Degla
Institut de Mathématiques et de Sciences Physiques (IMSP) 01 BP 613, Porto-Novo, Republic of Benin
e-mail: gadegla@yahoo.fr and
Patrice Ndambomve
∗African University of Science and Technology (AUST) Mathematics Institute, P.M.B 681, Garki, Abuja F.C.T, Nigeria
e-mail: ndambomve@gmail.com
Abstract
This work concerns the study of the controllability of some partial func- tional integrodifferential equation with nonlocal initial conditions in Banach spaces. It gives sufficient conditions that ensure the controllability of the system by supposing that its linear homogeneous part admits a resolvent operator in the sense of Grimmer, and by making use of the measure of non- compactness and the Mönch fixed-point theorem. As a result, we obtain a generalization of the work of Y.K. Chang, J.J. Nieto and W.S. Li (J. Optim.
Theory Appl. 142, 267–273 (2009)), without assuming the compactness of the resolvent operator. An example of application is given for illustration.
Keywords: controllability, integrodifferential equations, nonlocal initial con- dition, resolvent operator, Mönch fixed-point theorem.
2010 Mathematics Subject Classification: 93B05, 93C23, 45K05, 35C99, 34B10, 47H08, 47H10.
∗
Corresponding author.
1. Introduction
Control theory arises in many modern applications in engineering and environ- mental sciences [1], is one of the most interdisciplinary research areas [8, 15]
and its empirical concept for technology goes back to antiquity with the works of Archimede, Philon, etc... [18]. A control system is a dynamical system on which one can act by the use of suitable parameters (i.e., the controls) in order to achieve a desired behavior or state of the system. Control systems are usu- ally modeled by mathematical formalism involving mainly ordinary differential equations, partial differential equations or functional differential equations. In condensed expression, they often take the form of differential equation:
x
0(t) = F (t, x(t), u(t)) for t ≥ 0,
where x is the state and u is the control. While studying a control system, one of the most common problems that appear is the controllability problem, which consists in checking the possibility of steering the control system from an initial state (initial condition) to a desired terminal one (boundary condition), by an appropriate choice of the control u. However in many real world contexts such as engineering, environmental sciences, demography, etc..., nonlocal constraints (such as isoperimetric or energy condition, multipoint boundary condition and flux boundary condition) appear and have received considerable attention during the last decades, cf. [5] and [6]. So the concept of nonlocal initial condition not only extends that of Cauchy initial condition, but also turns out to have better effects in applications as it may take into account future measurements over a certain period after the initial time t equals 0.
Several authors have studied the controllability problem of nonlinear systems described by functional integrodifferential equations with nonlocal conditions in infinite dimensional Banach spaces: see for instance [2, 3, 7, 20, 21], and the ref- erences therein. For example in [21], the authors proved the controllability of an integrodifferential system with nonlocal conditions basing on the measure of non- compactness and the Sadovskii fixed-point theorem, and in [2], R. Atmania and S.
Mazouzi proved the controllability of a semilinear integrodifferential system using Schaefer fixed-point theorem and requiring the compactness of the semigroup.
In [12], R. Grimmer proved the existence and uniqueness of resolvent operators
for these integrodifferential equations that gave the variation of parameter formula
for the solution. In [9], W. Desch, R. Grimmer and W. Schappacher proved the
equivalence of the compactness of the resolvent operator and that of the operator
semigroup. In [2], the authors assumed the compactness of the operator semigroup
and in [3], the authors assumed the compactness of the resolvent operator whereas
in [7, 20, 21], the authors managed to drop this condition which motivates our
current work.
The organization of this work is as follows: In Section 2, some definitions and results are given. In Section 3, the controllability result for equation (2.1) is given. In Section 4, an example is given to illustrate the results.
2. Preliminaries
Integrodifferential equations have applications in many problems arising in phys- ical systems, the following one-dimensional model in viscoelasticity is one of the applications of that theory
α ∂
2ω
∂t
2(t, ξ) + β ∂ω
∂t (t, ξ) = ϕ(t, ξ) + h(t, ξ), γ ∂ω
∂ξ (t, ξ) + Z
t0
a(t − s) ∂ω
∂ξ (s, ξ)ds = ϕ(t, ξ), (t, ξ) ∈ R
+× [0, 1], ω(t, 0) = ω(t, 1) = 0, t ∈ R
+,
ω(0, ξ) = ω
0(ξ), ξ ∈ [0, 1],
where, ω is the displacement, ϕ is the stress, h is the external force, α, γ > 0 and β are constants. In this model, the first equation describes the linear momentum equation while the second equation describes the constitutive relation between stress and strain. Setting γ = 1, v =
∂ω∂t, and u =
∂ω∂ξ, the above equations can be rewritten as follows
u
0(t) v
0(t)
=
"
0 ∂
ξ∂ξ
α
0
#
u(t) v(t)
+
Z
t 0a(t − s) 0
0 0
u(s) v(s)
ds
+
0 0 0 −
αβu(t) v(t)
+
0
h(t) α
, t ≥ 0.
Setting
x(t) =
u(t) v(t)
, A =
"
0 ∂
ξ∂ξ
α
0
#
, G(t) =
a(t − s) 0
0 0
K =
0 0 0 −
βα, and p(t) =
0
h(t) α
, we can rewrite the above equation into the following abstract form
x
0(t) = A h x(t) +
Z
t0
G(t − s)x(s) i
ds + Kx(t) + p(t) for t ≥ 0
x(0) = x
0.
The operator A is unbounded here, while K and G(t) are bounded operators for t ≥ 0 on a Banach space X. When AG(t) = G(t)A, we obtain the following equation
x
0(t) = Ax(t) + Z
t0
G(t − s)Ax(s)ds + Kx(t) + p(t) for t ≥ 0 x(0) = x
0.
which has been studied in [10]. We note that in general, the equality AG(t) = G(t)A does not hold.
In this paper, we study the controllability of some systems that arise in the analysis of heat conduction in materials with memory [12], and viscoelasticity, and take the form of the following model of a partial functional integrodifferential equation subject to a nonlocal initial condition in a Banach space (X, k · k) : (2.1)
x
0(t) = Ax(t) + Z
t0
B(t − s)x(s)ds + f (t, x(t)) + Cu(t) for t ∈ I = [0, b]
x(0) = x
0+ g(x),
where x
0∈ X, g : C(I, X) → X and f : I × X → X are functions satisfying some conditions; A : D(A) → X is the infinitesimal generator of a C
0-semigroup
T (t)
t≥0
on X; for t ≥ 0, B(t) is a closed linear operator with domain D(B(t)) ⊃ D(A). The control u belongs to L
2(I, U ) which is a Banach space of admissible controls, where U is a Banach space. The operator C belongs to B(U, X) which is the Banach space of bounded linear operators from U into X, and C(I, X) denotes the Banach space of continuous functions x : I → X with supremum norm kxk
∞= sup
t∈Ikx(t)k
X.
The particular case B(t) = 0 has been considered by Y.K. Chang, J.J. Nieto and W.S. Li [7], where the authors used Sadovskii fixed-point theorem and the operator semigroup to prove their result.
Here our goal is to study equation (2.1) where B(t) 6= 0 as a generalization of the result by Y.K. Chang, J.J. Nieto and W.S. Li without requiring the com- pactness of the operator semigroup, in the same way as J. Wang, Z. Fan and Y.
Zhou [20] have done for the nonlocal controllability of some semilinear dynamic systems with fractional derivative. Our approach constists in transforming the problem (2.1) into a fixed-point problem of an appropriate operator and to apply the Mönch fixed-point theorem.
We now introduce some definitions and lemmas that will be used throughout the paper.
Let I = [0, b], b > 0 and let X be a Banach space. A measurable function
x : I → X is Bochner integrable if and only if kxk is Lebesgue integrable. We
denote by L
1B(I, X) the Banach space of functions x : I → X which are Bochner
integrable and normed by
kxk
L1= Z
b0
kx(t)kdt.
Consider the following linear homogeneous equation:
(2.2)
x
0(t) = Ax(t) + Z
t0
B(t − s)x(s)ds for t ≥ 0 x(0) = x
0∈ X.
where A and B(t) are closed linear operators on a Banach space X.
In the sequel, we assume A and B(t)
t≥0
satisfy the following conditions:
(H
1) A is a densely defined closed linear operator in X. Hence D(A) is a Banach space equipped with the graph norm defined by |y| = kAyk + kyk, which will be denoted by (Y, | · |).
(H
2) B(t)
t≥0
is a family of linear operators on X such that B(t) is continuous when regarded as a linear map from (Y, | · |) into (X, k · k) for almost all t ≥ 0, the map t 7→ B(t)y is measurable for all y ∈ Y and t ≥ 0 and belongs to W
1,1(R
+, X).
Moreover, there is a locally integrable function f : R
+→ R
+such that kB(t)yk ≤ f (t)|y| and
d dt B(t)y
≤ f (t)|y|.
Remark 1. Note that (H
2) is satisfied in the modelling of heat conduction in materials with memory and viscosity. More details can be found in [13].
Definition 2 (see e.g., [11]). A resolvent operator for equation (2.2) is a family R(t)
t≥0
of bounded linear operators valued function R : [0, +∞) −→ B(X) such that
(i) R(0) = Id
Xand kR(t)k ≤ N e
βtfor some constants N and β.
(ii) For all x ∈ X, the map t 7→ R(t)x is continuous for t ≥ 0.
(iii) Moreover, for x ∈ Y , R(·)x ∈ C
1(I; X) ∩ C(I; Y ) and R
0(t)x = AR(t)x +
Z
t 0B(t − s)R(s)xds
= R(t)Ax + Z
t0
R(t − s)B(s)xds.
Observe that the map defined on I by t 7→ R(t)x
0solves equation (2.2) for x
0∈ D(A).
We have the following example of a resolvent operator for equation (2.2) in R.
Example ([9]). Let X = R, Ay = 2y, and B(t)y = −2y in (2.2). Then we have R(t)x
0= e
t(cos t + sin t)x
0and T (t)x
0= e
2tx
0.
Remark 3. The above example also shows that, in general, the resolvent operator R(t)
t≥0
for equation (2.2) does not satisfy the semigroup law, namely, R(t + s) 6= R(t)R(s) for some t, s > 0.
Now consider the following system:
(2.3)
x
0(t) = Ax(t) + Z
t0
[B
1(t − s) + B
2(t − s)] x(s)ds for t ≥ 0 x(0) = x
0∈ X,
where B
1(t) and B
2(t) are closed linear operators in X and satisfy (H
2).
Then we have the following Lemma coming from [9].
Lemma 4 (Perturbation result) ([9]). Suppose A satisfies (H
1) and B
1(t)
t≥0
and B
2(t)
t≥0
satisfy (H
2). Let R
B1(t)
t≥0
be a resolvent operator of equation (2.2) and R
B1+B2(t)
t≥0
be a resolvent operator of equation (2.3). Then R
B1+B2(t)x − R
B1(t)x =
Z
t 0R
B1(t − s)Q(s)x ds where the operator Q is defined by
Q(t)x = Z
t0
B
20(t − s) Z
s0
R
B1+B2(τ )x dτ ds + B
2(0) Z
t0
R
B1+B2(s)x ds, Q is uniformly bounded on bounded intervals, and for each x ∈ X, Q(·)x belongs to C([0, ∞), X).
Based on this and the following corollary from ([9], p. 224), we prove the operator- norm continuity of the resolvent operator R(t)
t≥0
for t > 0.
Corollary 5 ([9]). Let A be a closed, densely defined linear operator in X, B(t) = 0 for all t ≥ 0, and R(t)
t≥0
be a resolvent operator for equation (2.2).
Then R(t)
t≥0
is a C
0-semigroup with infinitesimal generator A.
Theorem 6. Let A be the infinitesimal generator of a C
0-semigroup T (t)
t≥0
and let B(t)
t≥0
satisfy (H
2). Then the resolvent operator R(t)
t≥0
for equation (2.2) is operator-norm continuous (or continuous in the uniform operator topology) for t > 0 if and only if T (t)
t≥0
is operator-norm continuous for t > 0.
Proof. Since T (t)
t≥0
is a C
0-semigroup, there exist M and ω such that
||T (t)|| ≤ M e
ωtfor all t ≥ 0.
Let
Q(t)x = B(0) Z
t0
R(s)x ds + Z
t0
B
0(t − s) Z
s0
R(τ )x dτ ds.
By Lemma 4 (applied to equation (2.2)) we deduce that the operators Q(t)
t≥0
are uniformly bounded for t in a bounded interval and that R(t)x = T (t)x +
Z
t 0T (t − s)Q(s)x ds.
Now set α = sup
0≤t≤bkQ(t)k and let x ∈ X be arbitrary and such that kxk ≤ 1.
Suppose first that T (t)
t≥0
is operator-norm continuous for t > 0. Then on the one hand, we have for every t ∈ (0, b) and h ∈ (0, b − t) :
R(t + h)x − R(t)x ≤
h
T (t + h) − T (t) i x
+ α
Z
t 0h
T ((t − s) + h) − T (t − s) i
x ds + α
Z
t+h tM e
ω(t−s+h)ds.
It follows that
R(t + h) − R(t) ≤
T (t + h) − T (t) + α
Z
t 0T ((t − s) + h) − T (t − s) ds + α
Z
t+h tM e
ω(t−s+h)ds.
Therefore, by using the operator-norm continuity of T (t)
t≥0
on (0, +∞) and the Lebesgue dominated convergence theorem, we deduce that
R(t + h) − R(t)
→ 0 as h → 0
+. On the other hand, for every t ∈ (0, b] and h ∈ (−t, 0), we have
R(t + h) − R(t) ≤
T (t + h) − T (t) + α
Z
t 0T ((t − s) + h) − T (t − s) ds + α
Z
t t+hM e
ω(t−s)ds.
Using the operator-norm continuity of T (t)
t≥0
and the Lebesgue dominated convergence theorem, we get
R(t + h) − R(t)
→ 0 as h → 0
−. Hence
R(t + h) − R(t)
→ 0 when h → 0 with t + h ∈ [0, b].
Thus R(t)
t≥0
is operator-norm continuous when T (t)
t≥0
is operator-norm continuous.
The converse is proved similarly by using the identities T (t)x = −R(t)x +
Z
t 0T (t − s)Q(s)x ds = −R(t)x + Z
t0
T (s)Q(t − s)x ds and the continuity of Q(t)
t≥0
which follows from the property (H
2) of B(t)
t≥0
and the continuity of R(t)
t≥0
. In fact, suppose that R(t)
t≥0
is operator-norm continuous for t > 0. Then, we obtain
T (t + h)x − T (t)x ≤
h
R(t + h) − R(t) i
x +
Z
t 0M e
ωsh
Q((t − s) + h) − Q(t − s) i x
ds + α
Z
t+h tM e
ωsds for every t ∈ (0, b) and h ∈ (0, b − t).
It follows that
T (t + h) − T (t) ≤
R(t + h) − R(t) +
Z
t 0M e
ωsQ((t − s) + h) − Q(t − s) ds + α
Z
t+h tM e
ωsds.
Therefore, by using the operator-norm continuity of R(t)
t≥0
on (0, +∞), the continuity of Q(t)
t≥0
and the Lebesgue dominated convergence theorem, we get
T (t + h) − T (t)
→ 0 as h → 0
+.
On the other hand, for every t ∈ (0, b] and h ∈ (−t, 0), we have
T (t + h)x − T (t)x ≤
h
R(t + h) − R(t) i
x +
Z
t 0M e
ωsh
Q((t − s) + h) − Q(t − s) i x
ds + α
Z
t t+hM e
ωsds.
It follows that
T (t + h) − T (t) ≤
R(t + h) − R(t) +
Z
t 0M e
ωsQ((t − s) + h) − Q(t − s) ds + α
Z
t t+hM e
ωsds.
Therefore, by using the operator-norm continuity of R(t)
t≥0
on (0, +∞), the continuity of Q(t)
t≥0
and the Lebesgue dominated convergence theorem, we obtain
T (t + h) − T (t)
→ 0 as h → 0
−. Hence,
T (t + h) − T (t)
→ 0 as h → 0 with t + h ∈ [0, b].
Thus T (t)
t≥0
is operator-norm continuous when R(t)
t≥0
is.
Definition 7. A mild solution of equation (2.1) is a function x ∈ C(I, X) such that
x(t) = R(t)[x
0+ g(x)] + Z
t0
R(t − s)f (s, x(s)) + Cu(s) ds for t ∈ I.
Definition 8. Equation (2.1) is said to be controllable on the interval I if for every x
0, x
1∈ X, there exist a control u ∈ L
2(I, U ) and a mild solution x of equation (2.1) satisfying the condition x(b) = x
1.
For proving the main result of the paper we recall the notion of measure of non-
compactness and the Mönch fixed-point theorem. More information on the subject
can be found in [4]. In order to use the Hausdorff measure of noncompactness,
we recall some properties related to this concept.
Definition 9. Let D be a bounded subset of a normed space Z. The Hausdorff measure of noncompactness ( shortly MNC) is defined by
β(D) = inf n
> 0 : D has a finite cover by balls of radius less than o . Theorem 10. Let D, D
1, D
2be bounded subsets of a Banach space Z. The Haus- dorff MNC has the following properties:
(i) If D
1⊂ D
2, then β(D
1) ≤ β(D
2), (monotonicity).
(ii) β(D) = β(D).
(iii) β(D) = 0 if and only if D is relatively compact.
(iv) β(λD) = |λ|β(D) for any λ ∈ R, (Homogeneity)
(v) β(D
1+ D
2) ≤ β(D
1) + β(D
2), where D
1+ D
2= {d
1+ d
2: d
1∈ D
1, d
2∈ D
2}, (subadditivity)
(vi) β({a} ∪ D) = β(D) for every a ∈ Z.
(vii) β(D) = β(co(D)), where co(D) is the closed convex hull of D.
(viii) For any map G : D(G) ⊆ X → Z which is Lipschitz continuous with a Lipschitz constant k, we have
β(G(D)) ≤ kβ(D), for any subset D ⊆ D(G).
Lemma 11 ([20]). If (u
n)
n≥1is a sequence of Bochner integrable functions from I into a Banach space Z with the estimation ku
n(t)k ≤ µ(t) for almost all t ∈ I and every n ≥ 1, where µ ∈ L
1(I, R), then the function
ψ(t) = β({u
n(t) : n ≥ 1}) belongs to L
1(I, R) and satisfies the following estimation
β
Z
b 0u
n(s)ds : n ≥ 1
≤ 2 Z
b0
ψ(s)ds.
Lemma 12. Let Z be a Banach space and (T
n)
n≥1be a sequence of bounded linear maps on Z converging pointwise to T ∈ B(Z). Then for any compact set K in Z, T
nconverges to T uniformly in K, namely,
sup
x∈K
kT
n(x) − T (x)k −→ 0, as n → +∞.
Proof. By the uniform boundedness principle, we deduce that sup
n≥1kT
nk < ∞.
Let M = sup
n≥1kT
nk and > 0 be arbitrarily given. Then there exist a
1, a
2, . . . , a
msuch that K ⊂ S
mi=1
B a
i,
2(M +1).
For any x ∈ K, there exists i ∈ {1, . . . , m} such that x ∈ B a
i,
2(M +1). Since for i = 1, 2, . . . , m, T
n(a
i) → T (a
i), then there exists N
> 0 such that
kT
n(a
i) − T (a
i)k ≤
M + 1 , for n ≥ N
and for any i = 1, . . . . We have
kT
n(x) − T (x)k ≤ kT
n(x) − T
n(a
i)k + kT
n(a
i) − T (a
i)k + kT (a
i) − T (x)k
≤ kT
nkkx − a
ik + kT kka
i− xk + kT
n(a
i) − T (a
i)k
≤ M
M + 1 + kT
n(a
i) − T (a
i)k
≤ M
M + 1 +
M + 1 = .
Therefore, sup
x∈KkT
n(x) − T (x)k → 0 as n → +∞.
To end this section, we recall a nonlinear alternative of Mönch’s type for non selfmaps.
Theorem 13 [14] (Mönch, 1980). Let G be an open neighborhood of the origin in a Banach space Z. Suppose that F : G → Z is a continuous map which satisfies the following conditions:
(i) D ⊂ G countable and D ⊆ co({0} ∪ F (D)) =⇒ D is compact.
(ii) F (x) 6= λx for all x ∈ ∂G and λ > 1, (Leray-Schauder condition).
Then F has a fixed point.
We now state the following nonlinear alternative of Mönch’s type for selfmaps, which we shall use in the proof of the controllability of equation (2.1).
Theorem 14 [14] (Mönch, 1980). Let K be a closed and convex subset of a Banach space Z and 0 ∈ K. Assume that F : K → K is a continuous map which satisfies Mönch’s condition, namely, let D ⊆ K be countable and D ⊆ co({0} ∪ F (D)), then D is compact. Then F has a fixed point.
Corollary 15. Let K be a closed, convex and bounded subset of a Banach space
Z and 0 be an interior point of K. Assume that F : K → K is a continuous map
which satisfies Mönch’s condition. Then F has a fixed point.
We observe that in the statements of Mönch’s Theorem for non selfmaps in [20]
and [17], the key Leray-Schauder boundary condition is missing.
3. Controllability Result We shall consider furthermore the following hypotheses.
(H
3) The linear operator W : L
2(I, U ) → X satisfies the following condition:
(i) W defined by
W u = Z
b0
R(b − s)Cu(s) ds,
is surjective so that it induces an isomorphism between L
2(I, U ) /
KerWand X again denoted by W with inverse W
−1taking values in L
2(I, U ) /
KerW, (see e.g., [16]).
(ii) There exists a function L
W∈ L
1(I, R
+) such that for any bounded set Q ⊂ X we have
β((W
−1Q)(t)) ≤ L
W(t)β(Q), where β is the Hausdorff MNC.
(H
4) The function f : I × X −→ X satisfies the following conditions:
(i) f (·, x) is measurable for x ∈ X and f (t, ·) is continuous for a.e t ∈ I.
(ii) There exist a function L
f∈ L
1(I, R
+) and a nondecreasing continuous func- tion φ : R
+→ R
+such that
kf (t, x)k ≤ L
f(t)φ(kxk) for x ∈ X, t ∈ I and lim inf
r→+∞
φ(r) r = 0.
(iii) There exists a function h ∈ L
1(I, R
+) such that for any bounded set D ⊂ X, β(f (t, D)) ≤ h(t)β(D) for a.e t ∈ I,
where β is the Hausdorff MNC.
(H
5) g : C(I, X) −→ X is continuous, compact and satisfies lim inf
r→+∞
g
rr = 0, where g
r= sup n
kg(x)k : kxk ≤ r o
.
Theorem 16. Suppose the equation (2.2) has a resolvent operator R(t)
t≥0
which is continuous in the operator-norm topology for t > 0 and hypotheses (H
3)–(H
5) are satisfied. Then equation (2.1) is controllable on I, provided that
γ =
1 + 2M
1M
2kL
Wk
L12M
1khk
L1< 1, where M
1= sup
0≤t≤bkR(t)k and M
2is such that kCk = M
2.
Proof. Note that M
1< +∞ according to the exponential growth of the resolvent operator R(t)
t≥0
. Using (H
3) we define the control u
xby u
x(t) = W
−1x
1− R(b)[x
0+ g(x)] − Z
b0
R(b − s)f (s, x(s)) ds
(t) for t ∈ I, for an arbitrarily given function x ∈ C(I, X).
Using this control, we shall show that the operator K : C(I, X) → C(I, X) defined by
(Kx)(t) = R(t)[x
0+ g(x)] + Z
t0
R(t − s) h
f (s, x(s)) + Cu
x(s) i ds,
has a fixed point x which is just a mild solution of the equation (2.1). Observe that (Kx)(b) = x
1and so the control u
xsteers the integrodifferential equation from x
0to x
1in time b. This means that equation (2.1) is controllable on I.
For each positive r, let B
r= {x ∈ C(I, X) : kxk
∞≤ r}. We shall prove the above theorem through the following steps.
Step 1. We claim that there exists r > 0 such that K(B
r) ⊂ B
r.
Suppose on the contrary that this is not true. Then for each positive r, there exists a function x
r∈ B
r, such that K(x
r) / ∈ B
r, i.e., k(Kx
r)(τ )k > r, for some τ = τ (r) ∈ I. Now
(∗) k(Kx
r)(τ )k
r > 1 that implies that lim inf
r→+∞
k(Kx
r)(τ )k
r ≥ 1.
On the other hand, let M
3= kW
−1k. We have
(Kx
r)(τ )
≤ M
1kx
0k + M
1kg(x
r)k + M
1Z
b 0f (s, x
r(s)) ds + bM
1M
2M
3kx
1k + M
1kx
0k
+ bM
1M
2M
3M
1kg(x
r)k + M
1Z
b0
f (s, x
r(s)) ds
≤ M
1kx
0k + M
1g
r+ M
1φ(r)kL
fk
L1+ bM
1M
2M
3kx
1k + M
1kx
0k + bM
1M
2M
3M
1g
r+ M
1φ(r)kL
fk
L1≤ w
r:=
1 + bM
1M
2M
3M
1kx
0k +
1 + bM
1M
2M
3M
1g
r+
1 + bM
1M
2M
3M
1kL
fk
L1φ(r) + bM
1M
2M
3kx
1k.
Since
lim inf
r→+∞
w
rr = 0 = lim inf
r→+∞
g
rr then we get
lim inf
r→+∞
k(Kx
r)(τ )k
r = 0.
This is clearly a contradiction to (∗). Consequently, there exists r > 0 such that K(B
r) ⊂ B
r.
Step 2. The operator K is continuous on B
r. To see this, let (x
n)
n≥1⊂ B
rbe such that x
n→ x in B
r. Set
(K
1x)(t) := R(t)[x
0+ g(x)] and (K
2x)(t) :=
Z
t 0R(t − s)f (s, x(s)) + Cu
x(s)ds for t ∈ I, then K = K
1+ K
2.
Therefore, since g is continuous, we obtain
kK
1x
n− K
1xk ≤ M
1kg(x
n) − g(x)k → 0, as n → +∞.
For the proof of the continuity of K
2, we set
F
n(s) = f (s, x
n(s)) for every n and a.e. s, and F (s) = f (s, x(s)) for a.e. s.
Therefore, by (H
4)–(i), F
n(s) → F (s) and by (H
4)–(ii),
F
n(s)
=
f (s, x
n(s))
≤ L
f(s)φ(kx
nk) ≤ φ(r)L
f(s)
for every n and a.e. s.
It follows from the Lebesgue dominated convergence theorem that Z
t0
F
n(s) − F (s)
ds −→ 0, as n → +∞, t ∈ I.
Moreover, we have
K
2x
n− K
2x ≤ M
1Z
t 0F
n(s) − F (s)
ds + M
1M
2b
12u
xn− u
xL2(I,U )
, where
u
xn− u
xL2(I,U )
≤ M
3M
1g(x
n) − g(x) + M
1Z
b 0F
n(s) − F (s) ds
. Thus it follows that
K
2x
n− K
2x
−→ 0 as n → +∞, showing that K
2is continuous on B
r. Hence K is continuous on B
r.
Step 3. The Mönch condition holds.
Suppose that D ⊆ B
ris countable and D ⊆ co
{0} ∪ K(D)
. We have to show that D is relatively compact. To this end, it suffices to show that β(D) = 0, where β is the Hausdorff MNC. Since D is countable, we can describe it as D = {x
n}
n≥1. Therefore, K(D) = {Kx
n}
n≥1(t) and its relative compactness implies that D is also relatively compact. So we have to prove that K(D) is equibounded and equicontinuous on I in order to use Ascoli-Arzela’s theorem. We show that K(D) is equicontinuous. Let y ∈ K(D), and 0 ≤ t
1< t
2≤ b. There exists x ∈ D such that y = Kx and
y(t
2) − y(t
1) ≤
R(t
2)x
0− R(t
1)x
0+
R(t
2)g(x) − R(t
1)g(x) +
Z
t20
R(t
2− s)f (s, x(s))ds − Z
t10
R(t
1− s)f (s, x(s))ds +
Z
t20
R(t
2− s)Cu
x(s)ds − Z
t10
R(t
1− s)Cu
x(s)ds . Firstly assume that t
1> 0. By (ii) of definition 2, the first term on the right hand side tends to 0 as |t
2− t
1| → 0. That is
R(t
2)x
0− R(t
1)x
0→ 0 as |t
2− t
1| → 0.
Moreover, we have
R(t
2)g(x) − R(t
1)g(x) ≤
R(t
2) − R(t
1) g(x)
≤
R(t
2) − R(t
1)
g
r,
where g
r= sup{kg(x)k : kxk ≤ r}. Moreover,
R(t
2)−R(t
1)
→ 0 as |t
2−t
1| → 0, by the continuity of R(t)
t≥0
for t > 0 in the operator-norm topology.
Now let t
1= 0. Since g(B
r) is compact, then we have
R(h)g(x) − g(x) ≤ sup
y∈g(Br)
R(h)y − y
→ 0, as h → 0
+, by Lemma 12.
Therefore,
R(t
2)g(x) − R(t
1)g(x)
→ 0 as t
2→ t
1. Now we have
Z
t20
R(t
2− s)f (s, x(s))ds − Z
t10
R(t
1− s)f (s, x(s))ds
≤ M
1Z
t2t1
f (s, x(s)) ds +
Z
t10
R(t
2− s) − R(t
1− s)
f (s, x(s)) ds
≤ M
1φ(r) Z
t2t1
L
f(s)ds + φ(r)
Z
t10
R(t
2− s) − R(t
1− s)
L
f(s)ds .
The right hand side tends to 0 as t
2→ t
1by the Lebesgue dominated convergence theorem, showing that the family R
t0
R(t − s)f (s, x(s))ds, x ∈ D is equicontin- uous. Moreover,
Z
t20
R(t
2− s)Cu
x(s)ds − Z
t10
R(t
1− s)Cu
x(s)ds
≤ M
1Z
t2t1
Cu
x(s)
ds +
Z
t10
R(t
2− s) − R(t
1− s) Cu
x(s)
ds
≤ M
2M
3h
kx
1k + M
1kx
0k + g
r+ M
1φ(r)kL
fk
L1i
M
1(t
2− t
1) + Z
t10
R(t
2− s) − R(t
1− s) ds
and the right hand side tends to 0 as t
2→ t
1. Therefore, the family
Z
t 0R(t − s)Cu
x(s) ds ; x ∈ D
is equicontinuous and the set K(D) is equicontinuous on I.
We prove that K(D) is equibounded. To do this, we show that for all t ∈ [0, b],
the set K(x)(t); x ∈ D is relatively compact. We achieve this using the measure
of noncompactness. For t = 0, the set n
(Kx)(0); x ∈ D o
= n
x
0+ g(x); x ∈ D o
= x
0+ g(D) is relatively compact in X. Since g is compact, then g(D) is compact also.
For t ∈ (0, b], we have β
{(K
1x
n)(t)}
n≥1≤ β
{R(t)(x
0+ g(x
n))}
n≥1= 0, by the compactness of g. Also, by (H
3)–(ii) we obtain
β
{u
xn(t)}
n≥1(t)
= β W
−1n
x
1− R(b)
x
0+ g(x
n)
− Z
b0
R(t − s)f (s, x
n(s)) ds o
n≥1
(t)
≤ L
W(t)β
n
x
1− R(b)
x
0+ g(x
n)
− Z
b0
R(t − s)f (s, x
n(s)) ds o
n≥1
(t)
≤ L
W(t)β
n
x
1− R(b)
x
0+ g(x
n)
o
n≥1
(t)
+ L
W(t)β
n Z
b 0R(t − s)f (s, x
n(s)) ds o
n≥1
(t)
. By Lemma 11 and (H
4)–(iii), we deduce that
β
{u
xn(t)}
n≥1(t)
≤ 2M
1L
W(t)
Z
b 0h(s) ds
β
{x
n(s)}
n≥1(t)
≤ 2M
1L
W(t)
Z
b 0h(s) ds
β
D(t) . Moreover,
β
{(K
2x
n)(t)}
n≥1= β
Z
t 0R(t − s)f (s, x
n(s)) ds + Z
t0
R(t − s)Cu
xn(s) ds
n≥1
(t)
!
≤ 2M
1Z
b 0h(s) ds
β
D(t)
+ 2M
1M
2Z
b 0L
W(s) ds
2M
1Z
b 0h(s) ds
β
D(t)
≤ 2M
1khk
L1β
D(t)
+ 2M
1M
2kL
Wk
L12M
1khk
L1β
D(t)
≤
1 + 2M
1M
2kL
Wk
L12M
1khk
L1β
D(t)
.
Finally β
K(D)(t)
≤ β
K
1(D)(t) + β
K
2(D)(t)
≤
1 + 2M
1M
2kL
Wk
L12M
1khk
L1β
D(t)
. It means that β K(D(t)) ≤ γβ D(t). From Mönch’s condition, we obtain
β D(t)
≤ β co
{0} ∪ K(D(t))
= β
K(D(t))
≤ γβ D(t)
.
This implies that β D(t) = 0, since γ < 1 and therefore, β K(D)(t) = 0. This shows that K(D)(t) is compact, that is {K(x)(t); x ∈ D} is compact as desired.
So K(D) is equicontinuous and equibounded and therefore, by Ascoli-Arzela’s Theorem, we deduce that K(D) is relatively compact.
But
β D
≤ β co
{0} ∪ K(D)
= β
K(D)
= 0.
This implies that D is compact in X as desired. Thus D is relatively compact and the Mönch condition is satisfied. Therefore, by Corollary 15, K has a fixed point x in B
r, which is a mild solution of equation (2.1) and satisfies x(b) = x
1. The proof is complete.
4. Example
We now illustrate our main result by the following example.
Let Ω be a bounded domain in R
nwith smooth boundary. Consider the following nonlinear integrodifferential equation.
(4.1)
∂v(t,ξ)
∂t
= ∆v(t, ξ) + Z
t0
ζ(t − s)∆v(s, ξ) ds +
k+ee−ttsin(v(t, ξ)) + aω(t, ξ) for t ∈ [0, b] = I and ξ ∈ Ω
v = 0 on ∂Ω v(0, ξ) = v
0(ξ) + Z
Ω
Z
b 0ρ(t, ξ) log
1 + |v(t, η)|
12dt dη for ξ ∈ Ω,
where a > 0, k ≥ 1, ω : I × Ω → Ω is continuous in t and ω(t, ξ) = 0 for all
ξ ∈ ∂Ω, ρ ∈ C(I × Ω) and ρ(t, ξ) = 0 for all ξ ∈ ∂Ω, and ζ ∈ W
1,1(R
+, R).
Let X = U = C
0(Ω), the space of all continuous functions from Ω to R vanishing on the boundary. We define A : D(A) ⊂ X → X by:
(4.2)
D(A) = n
v ∈ C
0(Ω) ∩ H
01(Ω); ∆v ∈ C
0(Ω) o Av = ∆v,
for each v ∈ D(A).
Theorem 17 (Theorem 4.1.4, p. 82 of [19]). If Ω has a C
1-boundary, then the operator A defined above is the infinitesimal generator of a C
0-semigroup of con- tractions on C
0(Ω).
By Theorem 17, A generates a C
0-semigroup T (t)
t≥0
of contractions on C
0(Ω).
Moreover, T (t)
t≥0
generated by A is compact for t > 0 and operator-norm continuous for t > 0. Then by Theorem 6, the corresponding resolvent operator is operator-norm continuous. Define
x(t)(ξ) = v(t, ξ), x
0(t)(ξ) = ∂v(t, ξ)
∂t .
Let f (t, x)(ξ) =
k+ee−ttsin(x(t)(ξ)) for t ∈ I, ξ ∈ Ω and let C : X → X be defined by Cu = aω.
Let (B(t)x)(ξ) = ζ(t)∆x(t)(ξ) for t ∈ I, x ∈ D(A), ξ ∈ Ω and let g : C(I, X)
→ X be defined by
g(x)(ξ) = Z
Ω
Z
b 0ρ(t, ξ) log
1 + |x(t)(η)|
12dt dη for ξ ∈ Ω and x ∈ C(I, X).
Equation (4.1) can be transformed into the following form (4.3)
x
0(t) = Ax(t) + Z
t0
B(t − s)x(s)ds + f (t, x(t)) + Cu(t) for t ∈ I = [0, b], x(0) = x
0+ g(x).
Then f is Lipschitz continuous with respect to its second variable and we get
f (t, x)
≤ e
−tk + e
tfor (t, x) ∈ I × Ω.
Consequently, f satisfies (H
4)–(i), (H
4)–(ii) and (H
4)–(iii), with φ : R
+→ R
+defined by φ(x) = 1.
Moreover,
g(x)
C
0(Ω)
≤
b mes(Ω) M
ρkxk
12, where M
ρ= max
(t,ξ)∈I×Ω|ρ(t, ξ)|.
It is clear that for g
r= sup kg(x)k : kxk
∞≤ r , we have lim
r→+∞grr= 0.
Lemma 18. The map g : C(I, C
0(Ω)) → C
0(Ω) defined by g(x)(ξ) =
Z
Ω
Z
b 0ρ(t, ξ) log
1 + |x(t)(η)|
12dt dη for ξ ∈ Ω and x ∈ C(I, X), is compact.
Proof. Let E ⊂ C(I, C
0(Ω)) be bounded. Then, by computing as above, we have
g(x)
C
0(Ω)
≤
b mes(Ω)
M
ρkxk
12, for all x ∈ E.
So g(E) is bounded.
Now since ρ is uniformly continuous on I × Ω, it follows that g(E) is equicon- tinuous on Ω. Therefore, by Ascoli-Arzela’s theorem, g(E) is relatively compact in C
0(Ω). Hence, g is compact.
By Lemma 18 g is compact and therefore, it satisfies (H
5). Now for ξ ∈ Ω, the operator W is given by
(W u)(ξ) = Z
10