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Communication

Absolute Continuity of Fuzzy Measures and Convergence of Sequence of Measurable Functions

1
School of Sciences, Communication University of China, Beijing 100024, China
2
School of Data Science and Media Intelligence, Communication University of China, Beijing 100024, China
Mathematics 2020, 8(5), 726; https://doi.org/10.3390/math8050726
Submission received: 31 January 2020 / Revised: 29 April 2020 / Accepted: 1 May 2020 / Published: 5 May 2020
(This article belongs to the Special Issue Applications of Inequalities and Functional Analysis)

Abstract

:
In this note, the convergence of the sum of two convergent sequences of measurable functions is studied by means of two types of absolute continuity of fuzzy measures, i.e., strong absolute continuity of Type I, and Type VI. The discussions of convergence a.e. and convergence in measure are done in the general framework relating to a pair of monotone measures, and general results are shown. The previous related results are generalized.

1. Introduction

In fuzzy measure and fuzzy integral theory, many results in the classical measure theory no longer hold generally without additional conditions for fuzzy measures. For example, for Lebesgue measurable functions sequences { f n } n N and { g n } n N , we have
f n f a . e . [ m ] and g n g a . e . [ m ] f n + g n f + g a . e . [ m ]
and
f n m f and g n m g f n + g n m f + g ,
where m is the Lebesgue measure and the convergence concerns convergence almost everywhere and convergence in measure [1,2]. However, for a fuzzy measure μ , in general, the above Equations (1) and (2) may not be true.
The above Equations (1) and (2) were generalized to fuzzy measure spaces under the conditions of weak null-additivity and pseudometric generating property of set functions [3].
In this note, we consider a pair of fuzzy measures λ and ν defined on the same measurable space ( X , A ) . Under the condition of strong absolute continuity of Type I (resp. strong absolute continuity of Type VI), we obtain the following result:
f n f a . e . [ ν ] and g n g a . e . [ ν ] f n + g n f + g a . e . [ λ ]
( r e s p . f n ν f and g n ν g f n + g n λ f + g ) .
Comparing Equation (3) with Equation (1), and Equation (4) with Equation (2), respectively, we see that the general results are obtained in the framework concerning a pair of monotone measures. The previous related results in [3,4] (see also [5]) are recovered.

2. Preliminaries

Let ( X , A ) be a measurable space, i.e., X is a nonempty set and A is a σ -algebra of subsets of X. Let F denote the collection of all A -measurable functions f : X [ 0 , 1 ] (such a function f is also called a fuzzy set on X). The symbols and denote logical addition and logical multiplication (i.e., for any a , b [ 0 , 1 ] , a b = max { a , b } , and a b = min { a , b } ), respectively.

2.1. Fuzzy Measures and Integrals

A fuzzy measure on ( X , A ) is a real valued set function μ : A [ 0 , 1 ] satisfying the conditions: (FM1) μ ( ) = 0 and μ ( X ) > 0 ; (FM2) μ ( P ) μ ( Q ) whenever P Q and P , Q A (see [6,7]).
A fuzzy measure is also known as “non-additive measure”, “capacity”, “monotone measure”, “non-additive probability”, etc (see [8,9,10,11]).
Let FM denote the set of all fuzzy measures defined on ( X , A ) . For λ , ν FM , let ( λ , ν ) denote the order pair of λ and ν , i.e., ( λ , ν ) FM × FM .
We recall fuzzy integral [6] (it is also called Sugeno integral, see [12,13]).
Let ( μ , f ) FM × F . The fuzzy integral of f on X with respect to μ , is defined by
( S ) f d μ = 0 α 1 α μ { x X f ( x ) α } .
For A A , we define (S) A f d μ = ( S ) f χ A d μ , where χ A is the characteristic function of A.
Note that the Sugeno integral is a special kind of nonlinear integral.
We define the conjugate μ ¯ of μ by
μ ¯ ( A ) = μ ( X ) μ ( X \ A ) , A A .
Then μ ¯ FM and μ ¯ ¯ = μ .

2.2. Convergence of Sequence of Measurable Functions

Let μ FM and f , f n F ( n = 1 , 2 , ). We say that
(1) { f n } n N converges almost everywhere to f on X with respect to μ, and denote it by f n a . e . f [ μ ] , if there is a subset E A such that μ ( E ) = 0 and f n f on X \ E ;
(2) { f n } n N converges pseudo-almost everywhere to f on X with respect to μ, and denote it by f n p . a . e . f [ μ ] , if there is a subset F A such that μ ( X \ F ) = μ ( X ) and f n f on X \ F ;
(3) { f n } n N converges to f in measure μ (resp. pseudo-in measure μ) on X, denoted by f n μ f (resp. f n p . μ f ), if for any σ > 0 , lim n μ { x X | f n ( x ) f ( x ) | σ } = 0 (resp. lim n + μ ( { x X | f n ( x ) f ( x ) | < σ } ) = μ ( X ) ).
Proposition 1.
Let μ FM . Then
( 1 ) f n a . e . f [ μ ] if and only if f n p . a . e . f [ μ ¯ ] ;
( 2 ) f n μ . f if and only if f n p . μ ¯ f .

2.3. Absolute Continuity of Fuzzy Measures

We recall several types of absolute continuity of fuzzy measures.
Definition 1.
[14] Let ( λ , ν ) FM × FM . We say that
(1) λ is absolutely continuous of Type I with respect to ν, denoted by λ I ν , if for any A A , we have
ν ( A ) = 0 λ ( A ) = 0 ;
(2) λ is absolutely continuous of Type V I with respect to ν, denoted by λ V I ν , if for any { A n } n N A , we have
ν ( A n ) 0 ( n ) λ ( A n ) 0 ( n ) .
Inspired by the concepts of weak null-additivity and pseudometric generating property of set functions we generalized the above two types of absolute continuity, i.e., Type I and Type V I (see [3]). Let us first recall weak null-additivity and pseudometric generating property of fuzzy measures.
Let μ FM . (1) μ is called weakly null-additive [11,15], if for any P , Q A , we have
μ ( P ) = μ ( Q ) = 0 μ ( P Q ) = 0 .
(2) μ is called to have pseudometric generating property (briefly, ( p . g . p . )) [4,16], if for any sequences { P n } n N A and { Q n } n N A , we have
μ ( P n ) μ ( Q n ) 0 ( n ) μ ( P n Q n ) 0 ( n ) .
Definition 2.
(Li et al. [3]) Let ( λ , ν ) FM × FM . We say that
(1) λ is strongly absolute continuous of Type I with respect to ν, denoted by λ I ( s ) ν , if
ν ( A ) = ν ( B ) = 0 λ ( A B ) = 0 ;
(2) λ is strongly absolute continuous of Type V I with respect to ν, denoted by λ V I ( s ) ν , if for any sequences { A n } n N A and { B n } n N A , we have
ν ( A n ) ν ( B n ) 0 ( n ) λ ( A n B n ) 0 ( n ) .
Note: Comparing Equation (10) with Equation (8), and Equation (11) with Equation (9), respectively, we have (1) μ I ( s ) μ if and only if μ is weakly null-additive, and (2) μ V I ( s ) μ if and only if μ has pseudometric generating property.
Proposition 2.
Let ( λ , ν ) FM × FM .
(1) If λ V I ν , then λ I ν .
(2) If λ V I ( s ) ν , then λ I ( s ) ν .
(3) λ I ( s ) ν implies λ I ν , and λ V I ( s ) ν implies λ V I ν .
The inverse statements in (1), (2) and (3) may not hold.

3. Main Results

The following Theorems 1–3 are our main results.
Theorem 1.
Let ( λ , ν ) FM × FM . Then, we have
(1) for all f F and all { f n } n N F ,
f n a . e . f [ ν ] f n a . e . f [ λ ]
if and only if λ I ν ;
(2) for all f F and all { f n } n N F ,
f n ν f f n λ f
if and only if λ V I ν .
Proof. 
From Definition 1 it is easy to obtain the conclusions. □
Theorem 2.
Let ( λ , ν ) FM × FM . Then the following are equivalent:
(1) λ I ( s ) ν ;
(2) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n a . e . f [ ν ] a n d g n a . e . g [ ν ] f n g n a . e . f g [ λ ] ;
(3) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n a . e . f [ ν ] a n d g n a . e . g [ ν ] f n + g n a . e . f + g [ λ ] .
Proof. 
( 1 ) ( 2 ) . If f n a . e f [ ν ] and g n a . e g [ ν ] , then there exist F , G A with ν ( F ) = ν ( G ) = 0 such that f n f on X \ F and g n g on X \ G . Since λ I ( s ) ν , we have λ ( F G ) = 0 . Noting that f n g n f g on X \ F G , therefore f n g n a . e . f g [ λ ] .
( 2 ) ( 1 ) . Let P , Q A and ν ( P ) = ν ( Q ) = 0 . Denote f n = χ P and g n = χ Q , where χ P and χ Q are the characteristic functions of P and Q, respectively. It follows from f n a . e 0 [ ν ] and g n a . e 0 [ ν ] that f n g n a . e . 0 [ λ ] . So λ ( P Q ) = λ ( { x X | f n ( x ) g n ( x ) 0 } ) = 0 .
( 1 ) ( 3 ) . The proof is similar. □
Theorem 3.
Let ( λ , ν ) FM × FM . Then the following are equivalent:
(1) λ V I ( s ) ν ;
(2) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n ν f a n d g n ν g f n + g n λ f + g ;
(3) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n ν f a n d g n ν g f n g n λ f g .
Proof. 
( 1 ) ( 2 ) . Suppose that f n ν f and g n ν g . For any given ϵ > 0 , we denote
F n ( ϵ ) = x X | | f n ( x ) f ( x ) | ϵ 2
and
G n ( ϵ ) = x X | | g n ( x ) g ( x ) | ϵ 2 .
Then
x X | | ( f n ( x ) + g n ( x ) ) ( f ( x ) + g ( x ) ) | ϵ F n ( ϵ ) G n ( ϵ ) .
Since f n ν f and f n ν g , we have
ν F n ( ϵ ) ν G n ( ϵ ) 0 ( n ) .
Therefore, from λ V I ( s ) ν , we have
λ F n ( ϵ ) G n ( ϵ ) 0 ( n ) .
Hence it is clear that
λ x X | | ( f n ( x ) + g n ( x ) ) ( f ( x ) + g ( x ) ) | ϵ 0 ( n ) .
This shows that f n + g n λ f + g .
( 2 ) ( 3 ) . If f n ν f and g n ν g , then f n + g n λ f + g .
Noting that f n ( x ) g n ( x ) f n ( x ) + g n ( x ) , for any ϵ > 0 we have
{ x X | | f n ( x ) g n ( x ) | ϵ } { x X | | f n ( x ) + g n ( x ) | ϵ } .
So
lim n + λ ( { x X | f n ( x ) g n ( x ) | ϵ } ) lim n + λ ( { x X | f n ( x ) + g n ( x ) | ϵ } ) = 0 .
This shows f n g n λ 0 .
( 3 ) ( 1 ) . For any { P n } n N A , { Q n } n N A with lim n μ ( P n ) μ ( Q n ) = 0 , we define measurable function sequences { f n } n N F and { g n } n N F by
f n ( x ) = χ P n ( x ) = 0 i f x P n 1 i f x P n
and
g n ( x ) = χ Q n ( x ) = 0 i f x Q n 1 i f x Q n ,
n = 1, 2,..., then f n ν 0 and g n ν 0 . Thus, f n g n λ 0 . Therefore for ϵ = 1 2 , we have
lim n + λ ( { x X | f n ( x ) g n ( x ) 1 2 } ) = 0 .
Noting f n g n = χ P n χ Q n = χ P n Q n , we have
{ x X | f n ( x ) g n ( x ) 1 2 } = { x X | χ P n Q n ( x ) 1 2 } = P n Q n .
So
lim n + λ ( P n Q n ) = 0 .
Thus we have λ V I ( s ) ν . □
When we take ( λ , ν ) = ( μ , μ ) , ( μ ¯ , μ ¯ ) , ( μ ¯ , μ ) , and ( μ , μ ¯ ) , respectively, and combine Proposition 1, then the previous results obtained in [3] (Li et al.) are recovered by Theorems 2 and 3, respectively.
Corollary 1.
([3], Theorem 1) Let μ FM . Then,
(1) μ I ( s ) μ (i.e., μ is weakly null-additive) if and only if for any f , g , f n , g n F , f n a . e f [ μ ] a n d g n a . e g [ μ ] f n + g n a . e f + g [ μ ] .
(2) μ ¯ I ( s ) μ ¯ (i.e., μ ¯ is weakly null-additive) if and only if for any f , g , f n , g n F , f n p . a . e f [ μ ] a n d g n p . a . e g [ μ ] f n + g n p . a . e f + g [ μ ] .
(3) μ ¯ I ( s ) μ if and only if for any f , g , f n , g n F , f n a . e f [ μ ] a n d g n a . e g [ μ ] f n + g n p . a . e f + g [ μ ] .
(4) μ I ( s ) μ ¯ if and only if for any f , g , f n , g n F , f n p . a . e f [ μ ] a n d g n p . a . e g [ μ ] f n + g n a . e f + g [ μ ] .
Corollary 2.
([3], Theorem 2) Let μ FM . Then,
(1) μ V I ( s ) μ (i.e., μ has ( p . g . p . )) if and only if for any f , g , f n , g n F , f n μ f a n d g n μ g f n + g n μ f + g .
(2) μ ¯ V I ( s ) μ ¯ (i.e., μ ¯ has ( p . g . p . )) if and only if for any f , g , f n , g n F , f n p . μ f a n d g n p . μ g f n + g n p . μ f + g .
(3) μ ¯ V I ( s ) μ if and only if for any f , g , f n , g n F , f n μ f a n d g n μ g f n + g n p . μ f + g .
(4) μ V I ( s ) μ ¯ if and only if for any f , g , f n , g n F , f n p . μ f a n d g n p . μ g f n + g n μ f + g .
In the following we discuss fuzzy measures defined by fuzzy integral.
Given ν FM and h F . Then the Sugeno integral of h with respect to ν determines a new fuzzy measure λ h FM , as follows:
λ h ( A ) = ( S ) A h d ν , A A .
Proposition 3.
(1) λ h I ν , and λ h V I ν ; (2) λ h I ( s ) ν ; (3) If ν is continuous from below, then λ h V I ( s ) ν .
As a direct result of Proposition 3 and Theorems 2 and 3, we have the following corollary.
Corollary 3.
Let ν FM . Then,
(1) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n a . e . f [ ν ] a n d g n a . e . g [ ν ] f n g n a . e . f g [ λ h ] ;
(2) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n a . e . f [ ν ] a n d g n a . e . g [ ν ] f n + g n a . e . f + g [ λ h ] ;
Furthermore, if ν is continuous from below, then
(3) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n ν f a n d g n ν g f n g n λ h f g ;
(4) for all f , g F and all { f n } n N F , { g n } n N F , we have
f n ν f a n d g n ν g f n + g n λ h f + g .

4. Conclusions

We have shown the equivalences between the convergence (a.e. or in measure) of the sum of two convergent sequences of measurable functions and several types of absolute continuity of fuzzy measures. The main results are Theorems 1–3. The characteristics of strong absolute continuity of Type I and Type VI of fuzzy measures have been described by using convergence of sequence of measurable functions. As we have seen, such descriptions were done in a more general context concerning a pair of monotone measures, the previous related results [3,15] become to be some special cases of our new results.
In our discussions we only involved theoretical methods, not presenting a specific application instance. In further research, we will focus on the application of these methods. For instance, we will generalize convergence in measure theorems of nonlinear integrals [17,18] in the general framework concerning a pair of monotone measures, and discuss the linearity of pan-integrals and concave integrals [19,20], our results will be useful.

Funding

This work was supported by the National Natural Science Foundation of China (Grants No. 11571106 and No. 11371332), and the Fundamental Research Funds for the Central Universities.

Acknowledgments

The author is grateful to the referees for their valuable comments for improvements.

Conflicts of Interest

The author declares no conflict of interest.

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Li, J. Absolute Continuity of Fuzzy Measures and Convergence of Sequence of Measurable Functions. Mathematics 2020, 8, 726. https://doi.org/10.3390/math8050726

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Li J. Absolute Continuity of Fuzzy Measures and Convergence of Sequence of Measurable Functions. Mathematics. 2020; 8(5):726. https://doi.org/10.3390/math8050726

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Li, Jun. 2020. "Absolute Continuity of Fuzzy Measures and Convergence of Sequence of Measurable Functions" Mathematics 8, no. 5: 726. https://doi.org/10.3390/math8050726

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