Abstract
In this paper, the necessary and sufficient conditions for the upper strict monotonicity point and the upper local uniform monotonicity point are given in the case of Musielak–Orlicz spaces equipped with the Mazur–Orlicz F-norm. Moreover, strict monotonicity and upper local uniform monotonicity are easily deduced in the case of Musielak–Orlicz spaces endowed with the Mazur–Orlicz F-norm, and the work by Kaczmarek presented in the references is encompassed by the corollaries presented in this paper.
Keywords:
Musielak–Orlicz spaces; Mazur–Orlicz F-norm; F-norm Köthe spaces; upper strict monotonicity point; upper local uniform monotonicity point MSC:
46-01
1. Introduction and Preliminaries
It is widely known that monotonicity properties play an important role in geometric properties. For example, in the best approximation problem of a Banach lattice, monotonicity properties play a similar role to that of rotundity properties in the best approximation problem of a Banach space. Therefore, we can know that various monotonicity points play an analogous role to rotundity points (exposed points, strongly exposed points, etc.) in geometric properties. In recent years, monotonicity points have been extensively studied in Musielak–Orlicz, Orlicz–Lorentz, and Caldern–Lozanovskiĭ spaces (see [1,2,3,4]).
In this paper, we obtain the necessary and sufficient conditions for the upper strict monotonicity point and the upper local uniform monotonicity point in the case of Musielak–Orlicz spaces equipped with the Mazur–Orlicz F-norm under various conditions. Furthermore, the necessary and sufficient conditions for strict monotonicity and upper local uniform monotonicity in the case of Musielak–Orlicz spaces equipped with the Mazur–Orlicz F-norm are also obtained.
Let us denote and as the sets of natural and real numbers, respectively, and .
Assume that is a complete, finite, and non-atomic measure space. Let be the space of all real-valued and -measurable functions on T. is the space of all real-valued and -integrable functions on T.
Definition 1.
A function is called a monotone Musielak–Orlicz function if the following conditions are satisfied:
- (1)
- ;
- (2)
- is non-decreasing and continuous with respect to u on for almost every and left continuous at ;
i.e.,
- (i)
- whenever ;
- (ii)
- whenever ;
- (iii)
- For almost every , there is a such that and is measurable with respect to t for each ,
where
Define
and
The functions and are measurable and the proofs are similar to the proof of [5]. The function is continuous on in regard to u for almost every .
Definition 2
(see [6]). We say that a monotone Musielak–Orlicz function Φ satisfies the condition (for brevity, we write ) if there exists a set with , a constant , and a function such that for all .
If , then for almost every .
The function is defined by the formula
The space
is said to be a Musielak–Orlicz space (see [7,8,9]). Define the subspace of by the formula:
The Mazur–Orlicz F-norm is defined by the formula (see [7,8,9]):
Definition 3
(see [10]). Given any real vector space X the functional , is called an F-norm if the following conditions are satisfied:
- (i)
- if and only if ;
- (ii)
- for all ;
- (iii)
- for all ;
- (iv)
- whenever and for any in X, and in .
An F-normed space is an F-space under the condition that the F-normed space X is complete with regard to the F-norm topology. If Z is complete, the lattice equipped with a monotone F-norm is an F-lattice, where ≤ denotes the partial order relation.
Definition 4
(see [10]). An F-space is called an F-normed space if it is a linear subspace of satisfying the following conditions:
- (i)
- If and , then and ;
- (ii)
- There exists a strictly positive (called a weak unit).
A complete F-normed space is an F-lattice. If the measure m is non-atomic, then X is an F-normed function space.
Definition 5
(see [10]). A point x in an F-normed space is said to be an upper strict monotonicity point if for any such that , the condition holds whenever (or equivalently whenever and ). If every point in X is an upper strict monotonicity point, then we say that X is upper strictly monotone.
Definition 6
(see [10]). A point x in an F-normed space is said to be an upper local uniform monotonicity point if for any in X such that for all and as , the condition as holds. If every point in X is an upper local uniform monotonicity point, we then say that X is upper locally uniformly monotone.
If a point x is an upper local uniform monotonicity point, it must be an upper strict monotonicity point. However, an upper strict monotonicity point may not be an upper local uniform monotonicity point.
Lemma 1
(see [5]). If , then is a non-null set or for any
there exist measurable functions and mutually disjoint in Σ such that on and
Lemma 2.
For every monotone Musielak–Orlicz function Φ, and we have:
- (1)
- ;
- (2)
- whenever for some ;
- (3)
- If for , then .
Proof.
The proofs of conditions (1) and (2) are similar to the proof of Lemma 6.1 from [11], and the proof of condition (3) is similar to the proof of Lemma 2.16 from [10], so they are omitted. □
Lemma 3.
if and only if for any .
Proof.
The proof is similar to the proof of [11], so it is omitted. □
2. Results in F-Normed Musielak–Orlicz Spaces
Theorem 1.
- (a)
- If and for , then is upper strict monotonicity point;
- (b)
- If , then is upper strict monotonicity point if and only if the following conditions are satisfied:
- (1)
- ;
- (2)
- for almost every ;
- (3)
- for almost every .
- (c)
- If , then is an upper strict monotonicity point if and only if the following conditions are satisfied:
- (1)
- for almost every ;
- (2)
- for almost every .
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
Set
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. □
Corollary 1.
is upper strict monotonicity point if and only if the following conditions are satisfied:
- (1)
- ;
- (2)
- for almost every .
Proof.
The condition implies that , which means that the statement in Theorem 1 (c) is satisfied. □
Corollary 2.
is strictly monotone if and only if the following conditions are satisfied:
- (1)
- for almost every ;
- (2)
- ;
- (3)
- is strictly monotonically increasing with respect to u for almost every .
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 .
Define
Then
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. □
Theorem 2.
is upper local uniform monotonicity point if and only if the following conditions are satisfied:
- (1)
- ;
- (2)
- for almost every ;
- (3)
- .
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 ,
Let us define
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 .
Define
and
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. □
Corollary 3.
is upper locally uniformly monotone if and only if the following conditions are satisfied:
- (1)
- for almost every ;
- (2)
- is strictly monotonically increasing with respect to u for almost every .
Corollary 4.
is upper locally uniformly monotone if and only if the following conditions are satisfied:
- (1)
- for almost every ;
- (2)
- is strictly monotonically increasing with respect to u for almost every ;
- (3)
- .
Author Contributions
All authors contributed equally and significantly in writing this article. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the National Key Laboratory Foundation Project (Project Number is 6142217210206.
Data Availability Statement
Not applicable.
Acknowledgments
We would like to express our thanks to the anonymous referees and the editor for their constructive comments and suggestions, which greatly improved this article.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Gong, W.Z.; Shi, Z.R. Points of monotonicity in Orlicz-Lorentz function spaces. Nonlinear Anal.-Theory 2010, 73, 1300–1317. [Google Scholar] [CrossRef]
- Narloch, A.; Hudzik, H. Local monotonicity structure of Caldero´n-Lozanovskii¨ spaces. Indag. Math. 2004, 15, 245–255. [Google Scholar]
- Hudzik, H.; Liu, X.B.; Wang, T.F. Points of monotonicity in Musielak-Orlicz function spaces endowed with the Luxemburg norm. Arch. Math. 2004, 82, 534–545. [Google Scholar] [CrossRef]
- Yang, Y.B.; Cui, Y.A.; Kaczmarek, R. Points of monotonicity in F-normed Orlicz function spaces. Aequ. Math. 2023. [Google Scholar] [CrossRef]
- Chen, S.T. Geometry of Orlicz spaces. Diss. Math. 1996, 356, 1–204. [Google Scholar]
- Kaczmarek, R. Some monotonicity properties in F-normed Musielak-Orlicz spaces. Aequ. Math. 2020, 94, 865–885. [Google Scholar] [CrossRef]
- Mazur, S.; Orlicz, W. On some classes of linear spaces. Stud. Math. 1958, 17, 97–119. [Google Scholar] [CrossRef]
- Musielak, J. Orlicz Spaces and Modular Spaces; Springer: Berlin/Heidelberg, Germany, 2008. [Google Scholar]
- Musielak, J.; Orlicz, W. On modular spaces. Stud. Math. 1959, 18, 49–65. [Google Scholar] [CrossRef]
- Cui, Y.A.; Hudzik, H.; Kaczmarek, R.; Kolwicz, P. Geometric properties of F-normed Orlicz spaces. Aequ. Math. 2019, 93, 311–343. [Google Scholar] [CrossRef]
- Hudzik, H.; Kaczmarek, R.; Wójtowicz, M. Some monotonicity properties in certain s-normed (0<s<1) and F-normed lattices. J. Nonlinear Convex Anal. 2016, 17, 1985–2011. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).