Information Technology Reference
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2 Main Results
We first recall some necessary definitions, which are needed in our main results.
Definition 1.
Let
(,)
X
≤
gX
→
X
.We say that
g
be a partially ordered set and
x
,
y
∈
X
,
is monotone nondecreasing if, for all
x
≤
y
⇒
g
(
x
)
≤
g
(
y
).
g
is monotone nonincreasing if, for all
x
,
y
∈
X
,
x
≤
y
⇒
g
(
x
)
≥
g
(
y
).
g
is monotone if it is monotone nonincreasing or monotone nondecreasing.
Definition 2.
Let
(,)
X
≤
fX
→
X
be a partially ordered set.
is said to be
r
∈
(0,1)
quasi-contractive with constant
r
if there exists a constant
such that
d
(
f
(
x
),
f
(
y
))
≤
rQ
(
x
,
y
),
∀
x
≥
y
or
x
≤
y
,
where
Q
(
x
,
y
)
=
max{
d
(
x
,
y
),
d
(
x
,
f
(
x
)),
d
(
y
,
f
(
y
)),
d
(
x
,
f
(
y
)),
d
(
y
,
f
(
x
))}
.
f
is called to be contractive if it is quasi-contractive and satisfies that
Q
(
x
,
y
)
=
d
(
x
,
y
),
∀
x
≥
y
or
x
≤
y
.
Theorem 1.
Let
(,)
X
≤
be a partially ordered set and suppose that there exists a
metric
d
in
X
such that
(,)
Xd
is a complete metric space. Let
gX
→
X
be a
1
k
∈
(
0
)
. Suppose that either
g
is
monotone quasi-contractive map with constant
2
0
xX
∈
xgx
≤
()
xgx
≥
()
, then
g
has a
continuous. If there exists
with
or
0
0
x
*
y
are fixed points of
g
with
x
*
≥
y
*
fixed point. Furthermore, if
and
or
x
*
≤
y
*
x
*
=
y
*
.
, then
gx
()
=
x
Proof.
If
, then the proof is complete.
0
0
gx
()
≠
x
Suppose that
. The proof is similar to that of Theorem 2.1 in [1].
0
0
0
xX
∈
x
≤
gx
()
For the completeness, we conclude it. Let
with
or
0
xgx
≥
()
g
n
(
x
)
≠
g
n
+
1
(
x
)
. Without loss of generality, suppose that
, i.e.,
0
0
0
d
(
g
n
(
x
),
g
n
+
1
(
x
))
≠
0
n
=
0
2
,...
0
0
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