Proof. Case (a): Assume
for
and there exists
such that
for
. Denote
. Then
, and there exists
such that
. Hence, we have
which means that
; hence,
x is an upper strict monotonicity point.
Case (b): The necessity.
First let us prove the necessity of condition (1). Assume
. Put
. Because the function
is a measurable function and finite for almost every
, there exists a subset
with
such that
is a bounded measurable function. Hence,
By absolute continuity of the Lebesgue integral, there is a subset
with
for which
Then,
for
and
for
, hence
. However, the inequality
we have that the inequality
holds; This is a contradiction.
Next, we are going to prove that condition (2) is true. If
. Denote
and
. We obtain that
for
and
for any
. It is known that
We can discern from the above equality that . Together with the previous conditions, we can obtain that , which contradicts the fact that x is an upper strict monotonicity point.
Finally, we will prove that condition (3) holds. If
. We want to prove that there exists
satisfying
where
. As the set of positive rational numbers is countable, assume them to be
and
We obtain that
hence,
. In virtue of the condition
, there exist
such that
. Let
. Suppose that
. Thus,
. Denote
We obtain that
which can further yield that
; the equality contradicts the fact that
x is upper strict monotonicity point.
The sufficiency.
Suppose
for
and there exist
and
satisfying
for
. We will to prove that the inequality
holds. By the condition (1) we can get that
From the above inequality we can get that . By the definition of F-norm we have that . Thus, we obtain .
Case (c): The proof of Case (c) is similar to that of Case (b), so we have omitted the proof. □
Proof. The necessity.
(1) If there is a set satisfying and for , and let ; this yields that is not an upper strict monotonicity point. Further, is not strictly monotone.
(2) If
, in combination with Lemma 1 we can take
for
such that
where
are
measurable functions and
in ∑ are mutually disjoint sets satisfying
on the set
.
From the condition (3) in Lemma 2, we can obtain that
and
. For any
, there exists
such that
for any
. Then
Consequently, we have that the inequality holds. Because is arbitrary, we obtain . Further, we conclude that and is not an upper strict monotonicity point, which means that is not strictly monotone.
(3) If
is constant function for each
and
, where
,
and
. Suppose
for
. Select
such that
Define
for
. Because
, we yield that
is measurable. The fact
implies that there exists
satisfying
Define
and
. Therefore, we obtain
and
Because
is an almost everywhere finite measurable function, we know that there exists
such that
and
is an integrable function. We can yield that
There must exist
such that
under the condition
is a non-atomic measure space. Define
. Thus,
,
. According to the condition
, we have that
x is not strict monotonicity point; hence,
is not strictly monotone.
The sufficiency.
The condition implies that . Thus, x is a upper strict monotonicity point, and is strictly monotone. □
Proof. The necessity.
Because the upper local uniform monotonicity point is an upper strict monotonicity point, we only need to prove condition (3).
Case 1: Let
. Suppose that
. From the definition of the Musielak–Orlicz function, we know that
is a finite measurable function. Hence, there exists a
with
such that
Let
. Thus, there is a
such that
. Take
such that
and
. Denote
Then
for
and
Because
, then
. Moreover,
The above inequality shows that ; this is a contradiction.
Case 2: Let
. Take
satisfying
and denote
. Let
be the set of rational numbers on the interval
. According to
is a measurable function on
A that is finite for almost every
. Then, there exists a
satisfying
is an integrable function on the interval
. Denote
. Then,
is an integrable function on the interval
and
Hence, we can assume that is an integrable function on A for each .
Applying Lemma 1 with
, where
. We can find a sequence
of
measurable functions and mutually disjoint measurable subsets
in
A such that
,
Then,
,
and
. Moreover, for any
, there exists an
such that
for any
. Then,
By the above inequality we conclude that there exists satisfying the following conditions:
- (a)
;
- (b)
as ;
- (c)
;
- (d)
for any .
We have
for
and want to prove that
. According to inequality
we know that
. For any
,
Hence, . Further by the arbitrariness of , we obtain , thus the equality holds.
Next, we are going to prove
. Because
and
we only need to prove the condition
. For any
, we have
. The condition
is an integrable function and
imply that there exists
such that
as
. Hence,
. By the arbitrariness of
, we obtain
. The three-angle inequality implies that
From the above equalities we obtain
which contradicts the fact that
x is an upper local uniform monotonicity point.
The sufficiency.
Suppose the conditions
and
are satisfied; then, we only need to prove that the equality
holds. It is known that
Further, we can obtain that
Because
, the equality
holds. According to finiteness of the measure, there is a subsequence
satisfying
for almost every
. Without loss of generality, suppose the equality
for any
is true. Furthermore, there is a sequence
and
satisfying
and
for any
, where
for any
.
By the fact that for almost every , there exists a set and such that for . Let ; we can easily obtain that for under the condition .
The next step we need to prove is for . If the equality imply that the sequence is bounded. Denote . There is a maximum strict monotonicity interval of satisfying . From the fact that , we can obtain that there exists an such that whenever .
We have to consider two cases.
Case 1: If there is a
such that
whenever
. We want to prove that for some
, the inequality
holds whenever
. Suppose to the contrary, there are the sequences
and
with
satisfying
The sequence is bounded, which implies that there are such that , . Because is continuous, we have that . However, because and , it is easy to see that . We obtain a contradiction.
As
, we can find a
such that
whenever
. The inequality
can easily yield that there exists
such that
Combined with equality (2) we also obtain a contradiction. Thus, we have
Case 2: If there exists such that whenever .
There must exist
and
such that
. Then, the following proof is similar to the Case 1. There is
satisfying the inequality:
which contradicts equality (2). Then, we can yield that
for almost every
. By the fact that
, we obtain that the equality
for almost every
holds.
Therefore, by inequality (3), we can conclude that
Then, for any , the Lebesgue dominated convergence theorem concludes that as . Further, Lemma 3 yields that as . The double extract subsequence theorem fulfills the proof. □