Journal of Applied Mathematics and Physics, 2016, 4, 1592-1599
Published Online August 2016 in SciRes. http://www.scirp.org/journal/jamp
http://dx.doi.org/10.4236/jamp.2016.48169
How to cite this paper: Osman, A. and Haji, A. (2016) Well-Posedness of an N-Unit Series System with Finite Number of
Vacations. Journal of Applied Mathematics and Physics, 4, 1592-1599. http://dx.doi.org/10.4236/jamp.2016.48169
Well-Posedness of an N-Unit Series System
with Finite Number of Vacations
Abdugeni Osman, Abdukerim Haji
College of Mathematics and Systems Science, Xinjiang University, Urumqi, China
Received 12 May 2016; accepted 17 August 2016; published 24 August 2016
Abstract
We investigate the solution of an N-unit series system with finite number of vacations. By using
-semigroup theory of linear operators, we prove well-posedness and the existence of the unique
positive dynamic solution of the system.
Keywords
N-Unit Series System,
-Semigroup, Dynamic Solution, Well-Posedness
1. Introduction
The study of repairable systems is an important topic in reliability. The series system is one of the classical re-
pairable systems. Since the strong practical background of the series systems, many researchers have studied
them extensively under varying assumptions on the failures and repairs, see [1]-[4]. In [4], the authors studied an
N-unit series system with finite number of vacations and obtained some reliability expressions such as the Lap-
lace transform of the reliability, the mean time to the first failure, the availability and the failure frequency of the
system. In [4], the authors used the dynamic solution in calculating the availability and the reliability. But they
did not discuss the existence of the positive dynamic solution. Motivated by this, we study in this paper the
well-posedness and the existence of a unique positive dynamic solution of the system, by using
-semigroup
theory of linear operators. For background reading on semigroup theory we refer to [5] or [6]. The N-unit series
system with finite number of vacations can be described by the following equations (see [4]).
(
R
)

+ Λ
0
(
)
=
(
)
0
(
,
)

+
0
,

+

+
(
)

(
,
)
=0,=1,2,,,

+

+
(
)


(
,
)
=
0
(
,
)
,=1,2,,,=1,2,,,

+

+ Λ+
(
)

0
(
,
)
=0,=1,2,,,
A. Osman, A. Haji
1593
with the boundary conditions
(

)
(
,0
)
=
0
(
)
+ ()

(,)
0
=1
,=1,2,,

(
,0
)
=0,=1,2,,,=1,2,,,
01
(
,0
)
=
()
(
,
)

0
,
=1
0
(
,0
)
=()
0,1
(,)
0
,=2,,
and the initial conditions
(

)
0
(
0,
)
=1,
(
0,
)
=0 ,=1,2,,,

(
0,
)
=0,=1,2,,,=1,2,,,
0
(
0,
)
=0,=1,2,,,
where Λ=
1
+
2
+ +
Here
(
t,y
)
[
0,
)
×
[
0,
)
,
(
t,
)
[
0,
)
×
[
0,
)
; p
0
(
t
)
dx gives the probability that at time N units
are in working state and the repairman is idle; Analogously, p
i
(
t,y
)
dy represents the probability that at time
the repairman is repairing the failed unit (i=1,2,,n), and the elapsed repair time lies in [y,y + dy);
0
(
,
)
 represents the probability that at time t N units are in working state, the repairman is in

vacation (=1,2,,) and the elapsed vacation time lies in [,+ );

(
,
)
 represents the
probability that at time t unit (i=1,2,,n) is waiting for repair, the repairman is in

vacation
(=1,2,,) and the elapsed vacation time lies in
[
,+
)
; λ
is positive constant; () is the va-
cation rate function of the repairman;
() is the repair rate function of unit (i=1,2,,n).
Throughout the paper we require the following assumption for the vacation rate function () and the re-
pair rate functions
()(i=1,2,,n).
General Assumption 1.1: The functions () and
():[0,+)[0,+)(i=1,2,,n) are measura-
ble and bounded such that
=
+
(),
=
+
(
)(
i=1,2,,n
)
,
=
(
,
1
,
2
,,
)
.
2. Problem as an Abstract Cauchy Problem
In order to apply semigroup theory we transform in this section the system
(

)
,() and () into an ab-
stract Cauchy problem [5, Def. II. 6.1] on the Banach space
(
,
.
)
, where
X=× L
y
1
[0,+)
×
(
L
1
[0,+)
)
(
+1
)
×
and
=
|
0
|
+
L
y
1
[0,+)
+ 

L
1
[
0,+
)
=1
=1
+ 
0
L
1
[
0,+
)
=1
=1
p=(
0
,
1
(
)
,
2
(
)
,,
(
)
,
11
(
)
,
12
(
)
,,
1
(
)
,
21
(
)
,
22
(
)
,,
2
(
)
,,
1
(
)
,
2
(
)
,

(
)
,
01
(
)
,
02
(
)
,,
0
(
)
)
Χ
To define the system operator
(
,()
)
we introduce a “maximal operator”
(
,(
)
)
on X given as
A. Osman, A. Haji
1594
=
00000000000000
0
1
00000000000000
00
2
0000000000000

000 
000000000000
0000
11
00000000
1
00
00000
12
00000000
1
0

000000 
1
00000000
1
0000000
21
00000
2
00
00000000
22
00000
2
0

000000000 
2
00000
2

0000000000 
1
00
00
00000000000
2
00
0

0
00000000000 

00
0000000000000
01
00
00000000000000
02
0

000000000000000 
0
where
:
(
)
=
(
)
(
)

0
,
=


(
)
,=1,2,,,

=


(
)
,= 1,2,,,=1,2,,,
0
=

+ Λ+
(
)
,=1,2,,
Applying an abstract approach as in [7] we can model the boundary conditions (BC) with operators. For this
purpose we consider the boundary space
+(+1)
and then define boundary operators and Φ
as follows.
(
)
,
0
1
(
)
2
(
)
(
)
11
(
)
12
(
)
1
()
21
()
22
()
2
()
1
()
2
()

()
01
()
02
()
0
()

0
1
(
)
2
(
)
(
)
11
(
)
12
()
1
()
21
()
22
()
2
()
1
()
2
()

()
01
()
02
()
0
()
=
1
(
0
)
2
(
0
)
(
0
)
11
(
0
)
12
(0)
1
(0)
21
(0)
22
(0)
2
(0)
1
(0)
2
(0)

(0)
01
(0)
02
(0)
0
(0)
and
A. Osman, A. Haji
1595
1
(
0
)
2
(
0
)
(
0
)
11
(
0
)
12
(0)
1
(0)
21
(0)
22
(0)
2
(0)
1
(0)
2
(0)

(0)
01
(0)
02
(0)
0
(0)
=
1
000
11
12
 
1
000000000
2
000000
21
22
 
2
000000
 
000000000 
1
2
 

000
0000000000000000
0000000000000000
 
0000000000000000
0000000000000000
0000000000000000
 
0000000000000000
 
0000000000000000
0000000000000000
 
0000000000000000
0
1
2
 
000000000000
0000000000000
01
00
 
0000000000000000
0
1
(
)
2
(
)
(
)
11
(
)
12
()
1
()
21
()
22
()
2
()
1
()
2
()

()
01
()
02
()
0
()
,
where:

:

=
(
)

(
)
 ,=1,2,,,=1,2,,
0
:
(
)
=
(
)
0
(
)
,=1,2,,,
0
: 
0
=
(
)
01
(
)
,=2,,,
0
The system operator
(
,()
)
on is then defined as
=
,
(
)
=
{

(
)
| =
}
.
With these definitions the above equations (R), (BC) and (IC) are equivalent to the abstract Cauchy problem
()

=
(
)
, 
[
0,
)
,
(
0
)
=(1,0,,0)
.
(ACP)
3. Characteristic Equation
In this section we characterize () by the spectrum of a scalar
(
2 × 2
)
-matrix, i.e., or we obtain a characte-
ristic equation which relates () to the spectrum of an operator on the boundary space X. For this purpose,
we apply techniques and results from [7]. We start from the operator
(
0
,(
0
)
)
defined by
(
0
)
=
{

(
)
| =0
}
,
0
=
.
The elements in ker
(
γ
)
can be expressed as follows.
Lemma 3.1: For γρ
(
0
)
, we have

(

)
(1)
p=(
0
,
1
(
)
,
2
(
)
,,
(
)
,
11
(
)
,
12
(
)
,,
1
(
)
,
21
(
)
,
22
(
)
,,
2
(
)
,,
1
(
)
,
2
(
)
,

(
)
,
01
(
)
,
02
(
)
,,
0
(
)
)
Χ
with
0
=
0
+ Λ

(
)
Λ
(
)

0

0
,
1
(
)
=
1

1
(
)

0
,
2
(
)
=
2

2
()
0
,,
(
)
=

(
)

0
,
11
(
)
=
11

(
)

0
+
1
01
Λ

(
)

0
(
1 
Λ
)
,
12
(
)
=
12

()
0
+
1
02
Λ

(
)

0
(
1 
Λ
)
,…
1
(
)
=
1

(
)

0
+
1
0
Λ

(
)

0
(
1 
Λ
)
21
(
)
21

()
0
+
2
01
Λ

(
)

0
(
1 
Λ
)
A. Osman, A. Haji
1596
22
(
)
=
22

()
0
+
2
02
Λ

(
)

0
(
1 
Λ
)
,,
2
(
)
=
2

()
0
+
2
0
Λ

(
)

0
(
1 
Λ
)
,
1
(
)
=
1

(
)

0
+
01
Λ

(
)

0
(
1 
Λ
)
,
2
(
)
=
2

()
0
+
02
Λ

(
)

0
(
1 
Λ
)
,

=


()
0
+
0
Λ

(
)

0
(
1 
Λ
)
,
01
(
)
=
01
Λ
()
0
,
02
(
)
=
02
Λ
()
0
,
0
(
)
=
0
Λ
()
0
Using [8, Lemma 1.2], the domain
(
)
of the maximal operator
decomposes as
D
(
)
=D(
0
)ker(γ
).
Moreover, since is surjective, L|
ker (
)
:(
) is invertible for each γρ
(
0
)
, see [8,
Lemma 1.2]. We denote its inverse by
:=|
ker (
)
1
:(
)
and call it Dirichlet operator”.
We can give the explicit form of
as follows.
Lemma 3.2: For each γρ
(
0
)
, the operator
has the form
=
00000000000000
0
1
00000000000000
0
2
0000000000000

00 
000000000000
000
11
00000000
01
00
0000
12
00000000
02
0

00000 
1
00000000 
0
000000
21
00000
01
00
0000000
22
00000
02
0

00000000 
2
00000 
0

000000000 
1
00
01
00
0000000000
2
00
02
0

00000000000

00 
0
000000000000
1
00
0000000000000
1
0

00000000000000
1
,
where
0
=
1
+Λ
(
)
Λ
(
)

0

0
,
=

(
)

0
,=1,2,,,

=

(
)

0
,=1,2,,,=1,2,,,
0
=
Λ

(
)

0
(
1 
Λ
)
,=1,2,,
0
=
Λ
()
0
,=1,2,,.
For γρ
(
0
)
, the operator Φ
can be represented by the
(
+ × +
)
×
(
+ × +
)
-matrix
A. Osman, A. Haji
1597
ϕ
=
000
1,+1
1,+2
 
1,+
000
000000
2,++1
2,++2
 
2,++

000000000
000000000
000000000

000000000
000000000
000000000

000000000

000000000
000000000

000000000
++1,1
++1,2
 
++1,
000000
000000000

000000000
,
000
1,++1
1,++2

1,++1
1,++
000
2,++1
2,++2

2,++1
2,++

,+
(
1
)
+1
,+
(
1
)
+2
 
,+
,++1
,++2

,++1
,++
0000000
0000000

0000000
0000000
0000000

0000000

0000000
0000000

0000000
0000000
000
++2,++1
000

00000 
++,++
0
where
++1,1
=
1
()

1
()
0

0
,
++1,2
=
2
()

2
()
0

0
,,
++1,
=
()

()
0

0
,
1,+1
=
(
)

(
)

0

0
,
1,+2
=
()

()
0

0
,,
1,+
=
()

()
0

0
,
2,++1
=
()

()
0

0
,
2,++2
=
()

()
0

0
,,
2,++
=
()

()
0

0
,,
,+(1)+1
=
()

()
0

0
,
,+
(
1
)
+2
=
()

()
0

0
,,
,+
=
()

()
0

0
,
1,++1
=
1
Λ
()
0

(
)

0
(
1 
Λ
)
,
2,++1
=
2
Λ
(
)
0

(
)

0
(
1 
Λ
)
,,
,++1
=
Λ
()
0

(
)

0
(
1 
Λ
)
,
A. Osman, A. Haji
1598
++2,++1
=
()
0
Λ
(
)

0
,
1,++2
=
1
Λ
()
0

(
)

0
(
1 
Λ
)
,
2,++2
=
2
Λ
()
0

(
)

0
(
1 
Λ
)
,,
,++2
=
Λ
()
0

(
)

0
(
1 
Λ
)
,
++3,++2
=
()
0
Λ
(
)

0
,,
1,++1
=
1
Λ
()
0

(
)

0
(
1 
Λ
)
,
2,++1
=
2
Λ
()
0

(
)

0
(
1 
Λ
)
,,
,++1
=
Λ
()
0

(
)

0
(
1 
Λ
)
,
++,+++1
=
()
0
Λ
(
)

0
,
1,++
=
1
+ Λ
()
0
Λ
(
)

0
+
1
Λ
()
0

(
)

0
(
1 
Λ
)
,
2,++
=
2
+ Λ
()
0
Λ
(
)

0
+
2
Λ
()
0

(
)

0
(
1 
Λ
)
,
2,++
=
+ Λ
()
0
Λ
(
)

0
+
Λ
()
0

(
)

0
(
1 
Λ
)
,
The Following result, which can be found in [9], plays important role for us to prove the well-posedness of
the system.
Lemma 3.3 (The characteristic equation): If 
(
0
)
and there exists
0
 such that 1σ(ΦD_γ
0
),
then
γσ
(
A
)
1σΦ
.
4. Well-Posedness of the System
Our main goal in this section is to prove the well-posedness of the system. We first prove that the operator A
generates a positive contraction
0
-semigroup 
(
)
0
For this purpose we will check that operator A fulfills
all the conditions in the Phillips’ theorem, see [6, Thm. C-II 1.2]. The following lemma shows the surjectivity of
γA for >0.
Lemma 4.1: If , >0, then 
(
)
.
Proof: Let , >0. Then all the entries ofΦ
are positive and using only elementary calculations one
can show that both column sums are strictly less than 1. Hence, Φ
<1 and thus 1σΦ
. Using
Lemma 3.3 we conclude that 
(
)
.
Lemma 4.2: :()
(
)
 is a closed linear operator and () is dense in .
If
denotes the dual space of , then
=× 
[0,)
×
(
[0,)
)
++1
It is obvious that
is a Banach space endowed with the norm
=
|
0
|
+
L
y
[0,+)
+ 

L
[
0,+
)
=1
=1
+ 
0
L
[
0,+
)
=1
=1
where
q=(
0
,
1
(
)
,
2
(
)
,,
(
)
,
11
(
)
,
12
(
)
,,
1
(
)
,
21
(
)
,
22
(
)
,,
2
(
)
,,
1
(
)
,
2
(
)
,

(
)
,
01
(
)
,
02
(
)
,,
0
(
)
)

.
Lemma 4.3: The operator (,()) is dispersive.
Proof: For
p=(
0
,
1
(
)
,
2
(
)
,,
(
)
,
11
(
)
,
12
(
)
,,
1
(
)
,
21
(
)
,
22
(
)
,,
2
(
)
,,
1
(
)
,
2
(
)
,

(
)
,
01
(
)
,
02
(
)
,,
0
(
)
)
Χ
,
we define
q=(
0
,
1
(
)
,
2
(
)
,,
(
)
,
11
(
)
,
12
(
)
,,
1
(
)
,
21
(
)
,
22
(
)
,,
2
(
)
,,
1
(
)
,
2
(
)
,

(
)
,
01
(
)
,
02
(
)
,,
0
(
)
)

,
where
q
0
=
|
p
|
sgn
+
(
p
0
)
q
i
(
)
=
|
p
|
sgn
+
p
i
(
)
,=1,2,,,
q

(
)
=
|
p
|
sgn
+
p

(
)
,i=1
,2,,n,j=1,2,,M,
A. Osman, A. Haji
1599
q
0
(
)
=
|
p
|
sgn
+
p
0
(
)
,j=1,2,,M,
and
sgn
+
(
p
0
)
=
1if p
0
>0,
0if p
0
0,
sgn
+
p
i
(
y
)
=
1if p
i
(
)
>0,
0if p
i
(
y
)
0,
=1,2,,,
sgn
+
p

(
)
=
1if p

(
)
>0,
0if p

(
)
0,
i=1,2,,n,j=1,2,,M,
sgn
+
p
0
(
)
=
1if p
0
(
)
>0,
0if p
0
(
)
0,
j=1,2,,M.
Noting the boundary condition, it is not difficult to see that
,
0. By [6, p.49] we obtain that
(
,()
)
is a dispersive operator.
From Lemma 4.1- 4.3 we see that all the conditions in Phillips' theorem (see [6, Thm. C-II 1.2]) are fulfilled
and thus we obtain the following result.
Theorem 4.4: The operator
(
,()
)
generates a positive contraction
0
-semi-group 
(
)
0
.
From Theorem 4.4 and [5, Cor.II.6.9] we can characterize the well-posedness of The system
(
)
,
(

)
and
(

)
as follows.
Theorem 4.5: The system
(
)
,
(

)
and
(

)
is well-posed.
Combining Theorem 4.5 with [5, Prop.II.6.2] we can state our main result.
Theorem 4.6: The system
(
)
,
(

)
and
(

)
has a unique positive dynamic solution
p(t)=(
0
(),
1
(
,
)
,
2
(
,
)
,,
(
,
)
,
11
(
,
)
,
12
(
,
)
,,
1
(
,
)
,
21
(
,
)
,
22
(
,
)
,,
2
(
,
)
,,
1
(
,
)
,
2
(
,
)
,

(
,
)
,
01
(
,
)
,
02
(
,
)
,,
0
(
,
)
)

Acknowledgements
This work was supported by the National Natural Science Foundation of Xinjiang Uighur Autonomous Region
(No. 2014211A002).
References
[1] Liu, R.B., Tang, Y.H. and Luo, C.Y. (2007) A New Kind of N-Unit Series Repairable System and Its Reliability Anal-
ysis. Math. Appl, 20, 164-170.
[2] Liu, R.B., Tang, Y.H. and Cao, B.S. (2008) A New Model for the N-Unitseries Repairable System and Its Reliability
Analysis. Chinese Journal of Engineering Mathematics, 25, 421-428.
[3] Kovalyov, M.Y., Portmann, M.C. and Oulamara, A. (2006) Optimaltesting and Repairing a Failed Series System. J.
Comb. Optim, 12, 279-295. http://dx.doi.org/10.1007/s10878-006-9633-0
[4] Liu, R.B. and Liu, Z.M. (2011) Reliability Analysis of an N-Unit Series Repairable System with Finite Number of Va-
cations. Operations Research and Management Science, 20, 102-107.
[5] Engel, K.-J. and Nagel, R. (2000) One-Parameter Semigroups for Linear Evolution Equations. Graduate Texts in Ma-
thematics, 194, Springer-Verlag.
[6] Nagel, R. (1986) One-Parameter Semigroups of Positive Operators. Springer-Verlag.
[7] Casarino, V., Engel, K.-J., Nagel, R. and Nickel, G. (2003) A Semigroup Approach to Boundary Feedback Systems.
Integr. Equ. Oper. Theory, 47, 289-306. http://dx.doi.org/10.1007/s00020-002-1163-2
[8] Greiner, G. (1987) Perturbing the Boundary Conditions of a Generator. Houston J. Math., 13, 213-229.
[9] Haji, A. and Radl, A. (2007) A Semigroup Approach to Queueing Systems. Semigroup Forum, 75, 610-624.
http://dx.doi.org/10.1007/s00233-007-0726-6
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