Periodic BVPs for fractional order impulsive evolution equations
Yu and Wang Boundary Value Problems 2014, 2014:35
http://www.boundaryvalueproblems.com/content/2014/1/35
RESEARCH
Open Access
Periodic BVPs for fractional order impulsive
evolution equations
Xiulan Yu1 and JinRong Wang2,3*
*
Correspondence:
2
Department of Mathematics,
Guizhou University, Guiyang,
Guizhou 550025, P.R. China
3
School of Mathematics and
Computer Science, Guizhou Normal
College, Guiyang, Guizhou 550018,
P.R. China
Full list of author information is
available at the end of the article
Abstract
In this paper, we study periodic BVPs for fractional order impulsive evolution
equations. The existence and boundedness of piecewise continuous mild solutions
and design parameter drift for periodic motion of linear problems are presented.
Furthermore, existence results of piecewise continuous mild solutions for semilinear
impulsive periodic problems are showed. Finally, an example is given to illustrate the
results.
MSC: 34B05; 34G10; 47D06
Keywords: fractional order; impulsive evolution equations; periodic BVPs
1 Introduction
In order to describe dynamics of populations subject to abrupt changes as well as other
evolution processes such as harvesting, diseases, and so forth, many researchers have used
impulsive differential systems to describe the model since the last century. For a wideranging bibliography and exposition on this important object see for instance the monographs of [–] and the papers [–].
Fractional differential equations appear naturally in fields such as viscoelasticity, electrical circuits, nonlinear oscillation of earthquakes etc. In particular, impulsive fractional
evolution equations are used to describe many practical dynamical systems in many evolutionary processes models. Recently, Wang et al. [] discussed Cauchy problems and
nonlocal problems for impulsive fractional evolution equations involving the Caputo fractional derivative. However, periodic boundary value problems (BVPs for short) for impulsive fractional evolution equations have not been studied extensively.
In this paper we study the periodic BVPs for impulsive fractional evolution equations.
Firstly, we discuss periodic BVPs for impulsive fractional evolution equations:
⎧ q
c
⎪
⎨ D,t x(t) = Ax(t) + f (t), q ∈ (, ), t ∈ J = [, T], t = tk ,
x() = x(T),
⎪
⎩ +
x(tk ) = x(tk– ) + yk , k = , , . . . , δ,
()
q
in Banach space X, where c D,t is the Caputo fractional derivative of order q with the lower
limit zero, A : D(A) ⊆ X → X is the generator of a C -semigroup {S(t), t ≥ } on a Banach
space X, f : J → X is continuous, x() and yk are the elements of X, = t < t < t < · · · <
tδ < tδ+ = T, and x(tk+ ) = limh→+ = x(tk + h) and x(tk– ) = x(tk ) represent respectively the
right and left limits of x(t) at t = tk .
©2014 Yu and Wang; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction
in any medium, provided the original work is properly cited.
Yu and Wang Boundary Value Problems 2014, 2014:35
http://www.boundaryvalueproblems.com/content/2014/1/35
Page 2 of 11
Secondly, we design parameter drift for the above periodic motion. We study the following impulsive periodic BVPs with parameter perturbations:
⎧ q
c
⎪
⎨ D,t x(t) = Ax(t) + f (t) + p(t, x(t), ξ ),
x() = x(T),
⎪
⎩ +
x(tk ) = x(tk– ) + yk , k = , , . . . , δ,
t ∈ J, t = tk ,
()
where p is a given function and ξ ∈ = (–ξ̃ , ξ̃ ) is a small parameter perturbation that may
be caused by some adaptive control algorithms or parameter drift.
Finally, we consider semilinear impulsive periodic problems:
⎧ q
c
⎪
⎨ D,t x(t) = Ax(t) + f (t, x(t)), t ∈ J, t = tk ,
x() = x(T),
⎪
⎩ +
x(tk ) = x(tk– ) + Ik (x(tk– )), k = , , . . . , δ,
()
where f : J × X → X is continuous and Ik : X → X is continuous.
The rest of this paper is organized as follows. In Section , the existence and boundedness of the operator B = [I – T (T)]– are given. In Section , the existence and boundedness of PC-mild solutions and the design parameter drift for such a periodic motion
are presented. In Section , existence results of PC-mild solutions for impulsive periodic
problems are showed. Finally, an example is presented to illustrate the theory.
2 Existence and boundedness of operator B = [I – T (T)]–1
Suppose T > , let J = [, T]. Let M = supt≥ S(t) < ∞. We denote by C(J, X) the Banach
space of all continuous functions from J into X with the norm xC = sup{x(t) : t ∈ J}.
We also introduce the set of functions PC(J, X) = {x : J → X : x is continuous at t ∈
J \ {t , t , . . . , tδ }, and x is continuous from the left and has right-hand limits at t ∈
{t , t , . . . , tδ }}. Endowed with the norm
xPC = max supx(t + ), supx(t – ) ,
t∈J
t∈J
it is easy to see (PC(J, X), · PC ) is a Banach space.
For measurable functions l : J → R, define the norm lLp (J,R) = ( J |l(t)|p dt) p , ≤ p < ∞.
We denote by Lp (J, R) the Banach space of all Lebesgue measurable functions l with
lLp (J,R) < ∞.
Definition . ([]) The fractional integral of order γ with the lower limit zero for a
function f is defined as
γ
I,t f (t) =
(γ )
t
f (s)
ds,
(t
–
s)–γ
t > , γ > ,
provided the right side is point-wise defined on [, ∞), where (·) is the gamma function.
Definition . ([]) The Riemann-Liouville derivative of order γ with the lower limit
zero for a function f : [, ∞) → R can be written as
L
γ
D,t f (t) =
dn
(n – γ ) dt n
t
f (s)
ds,
(t
–
s)γ +–n
t > , n – < γ < n.
Yu and Wang Boundary Value Problems 2014, 2014:35
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Definition . ([]) The Caputo derivative of order γ for a function f : [, ∞) → R can
be written as
n–
c
γ
γ
D,t f (t) =L D,t f (t) –
k=
t k (k)
f () ,
k!
t > , n – < γ < n.
Remark . If f is an abstract function with values in X, then the integrals which appear
in Definitions . and . are taken in Bochner’s sense.
As in our previous work [], by a PC-mild solution of () we mean the function x ∈
PC(J, X) satisfying
k
x(t) = T (t)x() +
T (t – ti )yi
i=
t
(t – s)q– S(t – s)f (s) ds,
+
t ∈ (ti , ti+ ], k = , , . . . , δ,
and x() = x(T), where
∞
T (t) =
ξq (θ)S t q θ dθ ,
∞
S(t) = q
θ ξq (θ )S t q θ dθ
and
ξq (θ) = θ –– q ϑq θ – q ≥ ,
q
∞
ϑq (θ) =
(nq + )
sin(nπq),
(–)n– θ –qn–
π n=
n!
θ ∈ (, ∞),
here ξq is a probability density function defined on (, ∞), that is,
ξq (θ) ≥ ,
∞
θ ∈ (, ∞) and
ξq (θ ) dθ = .
Lemma . (see Lemma . []) The operator T has the following properties:
(i) For any fixed t ≥ , T (t) and S(t) are linear and bounded operators, i.e., for any
M
x ∈ X, T (t)x ≤ Mx and S(t)x ≤ (q)
x.
(ii) Both {S(t), t ≥ } and {T (t), t ≥ } are strongly continuous.
(iii) For every t > , T (t) and S(t) are compact op (...truncated)