Abstract
This study provides new equivalent descriptions of the Bounded Lower Oscillation () space through Luxemburg-type  integrability conditions, where  is a nonnegative function with either convexity or concavity. The framework accommodates various representative forms of , such as the power function , exponential-type functions , and logarithmic functions , with parameters  and . These results unify and extend existing characterizations of  by encompassing a broad class of generating functions.
    Keywords:
                                                                    BLO space;                    Luxemburg;                    space of homogeneous type;                    non-atomic measure;                    Calderón-Zygmund decomposition        MSC:
                42B35; 42B25; 46E30
            1. Introduction
The classical space , originally formulated by Coifman and Rochberg in [], comprises all locally integrable functions h such that the following is written:
	  
      
        
      
      
      
      
    
      where the supremum runs over all cubes  and the following:
	  
      
        
      
      
      
      
    
    A significant characterization of  was established by Bennett in 1982 [], using the natural maximal operator in connection with the  space. Liu and Yang [] extended Bennett’s result [] to Gauss measure metric space. For a more comprehensive account of the research on the space , we refer the reader to Leckband [], Jiang [], Tang [], Yang [,] and the references therein [,,,,].
The problem of characterizing  under weaker integrability conditions can be traced back to Strömberg []. Afterwards, the studies of [,,] further demonstrate the weak conditions of defining . More recently, assuming concavity of the function , Canto, Pérez and Rela in [] (Theorem 1.1) further researched the findings of [] by establishing minimal integrability conditions in terms of Luxemburg-type norms, specifically expressed as follows:
      
        
      
      
      
      
    
      Throughout these discussions, setting  for some  yields the equivalence .
Although the space  has been extensively investigated under minimal integrability assumptions, analogous results for  remain largely undeveloped. Motivated by this gap, the present work is devoted to establishing Luxemburg-type characterizations of  spaces under both convexity and concavity conditions. The Luxemburg norm, originating from the modular approach to Orlicz spaces, provides a classical yet versatile framework for studying generalized integrability conditions. For a recent application of the Luxemburg norm in approximation theory, we refer the reader to Costarelli and Vinti [].
Our aim is to identify the minimal integrability requirements for characterizing  via Luxemburg-type formulations. To this end, we begin by recalling several fundamental notions.
For a cube R, if : is a function and  is a locally integrable function on R, then the Luxemburg-type norm is given by the following:
      
        
      
      
      
      
    
      Moreover, we define the following
	  
      
        
      
      
      
      
    
Definition 1. 
Let φ:. The Luxemburg-type  space, denoted by , consists of the collection of all measurable functions h: such that the composition  is locally integrable over , and satisfies the following:
      
        
      
      
      
      
    where  is defined as in (2). If , then the Luxemburg-type space  coincides with the classical space .
We now recall the definitions of convex and concave functions. Let  and . If the following is true:
	  
      
        
      
      
      
      
    
      then : is the said convex function. If the following is true:
	  
      
        
      
      
      
      
    
      then : is said concave function.
Remark 1. 
Recall [] (Remark 1.4), if : is convex satisfying  and , then we find that the inverse function  is well defined on , where  is given by (5). In addition, if  is concave and satisfies , then  is necessarily increasing on . Furthermore, when  is increasing and concave with , it follows from [] (Remark 1.3) that for any , the following is calculated:
      
        
      
      
      
      
    
Definition 2. 
Let φ: be a given function, and  denote a space endowed with a quasi-metric d and a doubling measure η. Let  be defined as in (2).
- (i)
- The space consists of all functions h satisfying the following:
- (ii)
- The space includes all functions h for which is locally integrable function on and the following:
Definition 3. 
Let φ: be a function,  be defined as in (2) and ω be non-atomic measure.
- (i)
- The space consists of all functions h for which the following is calculated:
- (ii)
- The space includes all functions h for which is locally integrable function on and the following:
Definition 4. 
For any cube  centered at x with side length L, assume the existence of constants  for which the following is calculated:
      
        
      
      
      
      
    holds for . Then we assert that the measure ω is non-atomic.
The structure of the paper is organized as follows. Section 2 is devoted to Luxemburg norm characterizations of  in Theorems 1 and 2, where we establish the fundamental equivalence results in the Euclidean setting. Section 3 addresses Luxemburg norm characterizations of  in Theorem 3, extending the previous analysis to the space of homogeneous type. Section 4 presents Luxemburg norm characterization of  in Theorem 4, in which we further investigate the weighted framework under non-atomic measures. Finally, Section 5 provides a conclusion, where we summarize the main contributions.
In this paper, the following terminology and notation will be employed: Define . For subset , denote its complement by . The notation  indicates the existence of a constant  such that ; similarly,  means . We write  when both  and  hold.
2. Luxemburg Norm Characterizations of ()
In this section, we present Theorems 1 and 2, which establishes the Luxemburg norm characterizations of . To proceed, we begin by recalling the John–Nirenberg-type inequality for the  space, as stated in [] (Lemma 2.1).
Lemma 1 
([]). If , then, there exist constants  for which it holds that the following is true:
      
        
      
      
      
      
    for all ,  and , where  is as in (2).
Lemma 2 
([]). Let φ: be convex satisfying  and . Then, for any  and , calculate the following:
      
        
      
      
      
      
    where  is defined in (5).
Theorem 1. 
Assume that φ: is a function with  and . Then the following hold.
- (i)
- Suppose that φ is convex and denotes the inverse of φ on with the following:If there exists satisfying the following:then the spaces and can be identified with equivalent norms.
- (ii)
- If φ is concave, then . Moreover, there exist constants such that the following is calculated:
Proof.  
Now, we first verify (i). Given any , we will verify the following:
		
      
        
      
      
      
      
    
        where  and  is defined in (5). Observe that  for such C. We normalize . Denote by  the constant defined in (2). For any cube , we calculate the following:
		
      
        
      
      
      
      
    
        Applying Lemma 2, we deduce the following:
		
      
        
      
      
      
      
    
        The inequality (7) is thus derived by applying the supremum over all cubes Q.
Next, suppose . Our goal is to prove the following:
      
        
      
      
      
      
    
        A sufficient condition for (8) is the existence of a constant  satisfying the following:
		
      
        
      
      
      
      
    
        To verify (9), assume . Set , where  is as in (6) and  is from Lemma 1. By Remark 1,  exists on , with  defined in (5). Then, we calculate the following:
		
      
        
      
      
      
      
    
        From condition (6), one has the following:
		
      
        
      
      
      
      
    
        Furthermore, since  is convex with , then, for any  and , calculated as follows:
		
      
        
      
      
      
      
    
        We define the following:
		
      
        
      
      
      
      
    
        Using this, together with the above inequalities (10) and (11), we derive the following:
		
      
        
      
      
      
      
    
        which establishes (9). Then (8) holds. Finally, combining (7) and (8) yields that  with equivalent norms. This implies that (i) holds.
We now proceed to prove (ii). Assume that : is increasing and concave with  and . Let  be defined as in (2). From Remark 1, we find that  is increasing. Given a cube , applying Jensen’s inequality, we obtain, for constant , the following:
		
      
        
      
      
      
      
    
        From this and Definition 1, the following is assumed:
		
      
        
      
      
      
      
    
        Below, we only need to verify the converse inequality, written as follows:
		
      
        
      
      
      
      
    
        which directly follows from the following inequality
		
      
        
      
      
      
      
    
        Suppose that . Then the Luxemburg norm condition implies that, for any cube Q, the following is calculated:
		
      
        
      
      
      
      
    
        To prove (12), we define the following:
		
      
        
      
      
      
      
    
        Since the finiteness of X is not guaranteed, for a large number t, we instead consider the following truncated quantity:
		
      
        
      
      
      
      
    
        Then, we have . From (13), we know the following:
      
        
      
      
      
      
    
        therefore, if we take  applying the Calderón–Zygmund decomposition yields non-overlapping dyadic cubes  and constant  such that the following properties hold:
        
- (i)
- ;
- (ii)
- for a.e.;
- (iii)
- .
        We write the following:
		
      
        
      
      
      
      
    
Regarding , by (ii) and the increasing property of , it follows that for , the following is valid:
		
      
        
      
      
      
      
    
        which implies the following:
      
        
      
      
      
      
    
Now, we consider . For any , according to (3), (i) and (13), we see the following:
      
        
      
      
      
      
    
        From this and the following
		
      
        
      
      
      
      
    
        the following is calculable:
		
      
        
      
      
      
      
    
        where the penultimate step used the definition of  and the last step used (iii).
Combining the above bounds for  and , we have the following:
		
      
        
      
      
      
      
    
        Taking the supremum over all intervals, we choose  and obtain that there exists a constant  such that we calculate the following:
		
      
        
      
      
      
      
    
        Finally, we let  and obtain (12). So, we conclude that (ii) holds. This finishes the proof of Theorem 1.    □
As application of Theorem 1, we give a related result as follows:
Theorem 2. 
Let  be a function with  and . If , then .
Proof.  
Assume that  is measurable function with  and . By analyzing the growth of  at infinity, we construct a polygonal function  such that  is concave and  for large values of s.
Specifically, for , define . For , the function  is defined as a polygonal curve composed of linear segments joining points of the form  and , with  chosen so that  is continuous, concave, and satisfies . As a consequence of this construction, the following is assumed:
      
        
      
      
      
      
    
        Then we only need to verify the following:
		
      
        
      
      
      
      
    
        To simplify the argument, let . Assume that  is defined as in (2). For a fiven cube Q, we following the proof of (12), if we claim the following:
		
      
        
      
      
      
      
    
        Then we repeat the argument of (12) and obtain that (14) holds. Moreover, we calculate the following:
		
      
        
      
      
      
      
    
        It remains to show (15). Referring the proof of [] (pp. 10–11) and replacing  with , we conclude that (15) holds. This end the proof of Theorem 2.    □
3. Luxemburg Norm Characterization of
In preparation for the proof of Theorem 3, this section first recalls some concepts about the space of homogeneous type (see []) and two key Lemmas from [] (Lemmas 3.1 and 3.2).
Assume that  is a set and d is a quasi-metric, that is, d satisfies quasi-triangular inequality, written as follows:
      
        
      
      
      
      
    
      where  is a finite constant. For a measure  and a ball  with center  and radius , if there exists constant  independent of y and t such that we calculate the following:
	  
      
        
      
      
      
      
    
      then we say that  satisfies the doubling condition. Define  to be the smallest constant in the doubling condition, and let  denote the doubling dimension of . For any balls  with , we utilize the above doubling condition to derive the following:
      
        
      
      
      
      
    
      where  is a positive constant,  and  mean the radius of  and , respectively.
Assume that  is the set, d is a quasi-metric and  is a doubling measure. The space of homogeneous type is a triple . To simplify the concept, for a ball B, we fix  and define the following:
      
        
      
      
      
      
    
      and
      
        
      
      
      
      
    
Lemma 3. 
Assume that  is a family of balls whose radius are bounded. Then one can find a subcollection  consisting of mutually disjointed balls satisfying the following:
      
        
      
      
      
      
    
Lemma 4. 
Let  and B be a ball. There is a sufficiently large constant  for which any ball P whose center lies in B and satisfies the following:
      
        
      
      
      
      
    it holds that . Furthermore, choosing ϵ sufficiently small ensures that .
Theorem 3. 
Let φ: be a function satisfying  and . If φ is concave, then  with equivalent norms.
Proof.  
Proceeding as in the proof of Theorem 1, based on Remark 1, we have that  exist. Let  be defined as in (2). For any ball B, by applying Jensen’s inequality, we deduce the following:
      
        
      
      
      
      
    
        which implies the following:
      
        
      
      
      
      
    
        Therefore, we establish the following reverse inequality:
		
      
        
      
      
      
      
    
        To prove this, we need to show the following:
		
      
        
      
      
      
      
    
        for all B balls. Assume that . Then, we define the following:
		
      
        
      
      
      
      
    
        To prove (17), we define the following:
		
      
        
      
      
      
      
    
        We claim that X is finite. Assume that  is a parameter to be determined. We define this as follows:
		
      
        
      
      
      
      
    
        For any , we use Lebesgue differentiation theorem to derive that there exists  centered at x satisfying the following:
		
      
        
      
      
      
      
    
        So, we construct a family , where  satisfies (19) and  for all other ball  satisfying (19). Using Lemma 3, we obtain a maximal subfamily .
Further, when L is chosen sufficiently large and , we utilize Lemma 4 to derive  and the following:
		
      
        
      
      
      
      
    
        Moreover, we have the following:
		
      
        
      
      
      
      
    
        where  refers to a constant that depends solely on .
Now, we summarize the key features of  as follows:
        
- (i)
- For , and , we have ;
- (ii)
- ;
- (iii)
- and ;
- (iv)
- there exist constants such that .
To verify (17), by , we write the following:
      
        
      
      
      
      
    
For term , by the definition of  and Remark 1, we obtain, for any , the following:
      
        
      
      
      
      
    
        which allows us to obtain the following:
      
        
      
      
      
      
    
Now, we consider . Based to , by (3), (iii) and (18), we have the following:
      
        
      
      
      
      
    
        where  refers to a constant that depends solely on . Combining properties (ii) and (iv), we estimate II as follows:
      
        
      
      
      
      
    
        where the third step used the definition of X and  is as in (iv).
Finally, utilizing the bounds for  and  together, we obtain the following:
      
        
      
      
      
      
    
        Taking the supremum over all intervals and choosing , we conclude that there exists constant  dependent of  such that we obtain the following:
      
        
      
      
      
      
    
This allows us to derive (17). We finish the proof of Theorem 3.    □
4. Luxemburg Norm Characterization of
This section discusses the equivalent characterization  with non-atomic measure .
Theorem 4. 
Let  be a function satisfying  and . For any non-atomic measure ω, if φ is concave, then  with equivalent norms.
Proof.  
Firstly, we use Remark 1 to derive that  exists. For any cube Q, let  be as in (2). Again applying Jensen inequality, we see the following:
		
      
        
      
      
      
      
    
        for all  hold. From this, the following holds:
		
      
        
      
      
      
      
    
        Therefore, it remains to show the following:
		
      
        
      
      
      
      
    
        In fact, for any cube , we only need to verify the following:
		
      
        
      
      
      
      
    
Now, we prove (20). Fix cube Q and assume the following:
      
        
      
      
      
      
    
        To verify (20), we define the following:
		
      
        
      
      
      
      
    
        Again, we claim that X is finite, as established in the proof Theorem 1. Fix  to be precised later. Referring the dyadic construction of [] (pp. 15–17) and [] (Lemma 3.3), we replace  with  and obtain the following Calderón–Zygmund decomposition; the family  of dyadic cubes satisfies the following:
        
- (i)
- ;
- (ii)
- for a.e. ;
- (iii)
- .
5. Conclusions
This paper investigates minimal integrability conditions for BLO spaces via Luxemburg-type norms, under assumptions of convexity and concavity on the generating function . These characterizations extend from Euclidean spaces to more general metric spaces, homogeneous spaces, and further to frameworks with non-atomic measures, thereby unifying and significantly broadening the scope of BLO theory. The results not only unify and generalize classical BLO frameworks but also provide a flexible analytical bridge for addressing oscillation phenomena related to the boundedness of fractional operators. These findings contribute to the theoretical foundation for analyzing fractional integral and maximal operators on general metric measure spaces and underscore the profound interplay between harmonic analysis, fractional calculus, and geometric frameworks.
Author Contributions
Conceptualization, L.Y. and X.J.; formal analysis, L.Y. and X.J.; investigation, L.Y. and X.J.; methodology, L.Y.; project administration, L.Y. and X.J.; resources, X.J.; supervision, L.Y. and X.J.; validation, L.Y. and X.J.; visualization, L.Y. and X.J.; writing—original draft, L.Y.; writing—review and editing, L.Y. and X.J. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed at the corresponding authors.
Acknowledgments
All the authors are thankful to their respective institutes.
Conflicts of Interest
The authors declare no conflicts of interest.
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