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Approximate multi-variable bi-Jensen-type mappings

  • Jae-Hyeong Bae and Won-Gil Park EMAIL logo
Published/Copyright: December 20, 2023
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Abstract

In this study, we obtained the stability of the multi-variable bi-Jensen-type functional equation:

n 2 f x 1 + + x n n , y 1 + + y n n = i = 1 n j = 1 n f ( x i , y j ) .

MSC 2010: 39B52; 39B82

1 Introduction

In 1940, Ulam [1] suggested the stability problem of functional equations concerning the stability of group homomorphisms:

Let G be a group and let be a metric group with the metric d ( , ) . Given ε > 0 , does there exist a δ > 0 such that if a mapping h : G satisfies the inequality d ( h ( x y ) , h ( x ) h ( y ) ) < δ for all x , y G then there is a homomorphism H : G with d ( h ( x ) , H ( x ) ) < ε for all x G ?

Hyers-Ulam stability is a mathematical result that deals with the variation of approximations of a function under small perturbations. Research on the stability of functional equations has been continuously conducted, and rich results are coming out [28].

Throughout this article, let X and Y be the vector spaces.

Definition 1

A mapping f : X × X Y is called a bi-Jensen mapping if f satisfies the system of equations:

(1) 2 f x + y 2 , z = f ( x , z ) + f ( y , z ) , and 2 f x , y + z 2 = f ( x , y ) + f ( x , z ) .

Let f : X × X Y be a mapping. In 2006, Bae and Park [9] obtained the general solution of the bi-Jensen functional equation

(2) 4 f x + y 2 , z + w 2 = f ( x , z ) + f ( x , w ) + f ( y , z ) + f ( y , w )

and proved its stability. Subsequent articles have been published since 2008 by several authors [1013].

For an integer n greater than 1, consider the multi-variable bi-Jensen-type functional equation:

(3) n 2 f x 1 + + x n n , y 1 + + y n n = i = 1 n j = 1 n f ( x i , y j ) .

Equation (2) is a special case of equation (3).

In 2011, Park [14] investigated the approximate additive, Jensen, and quadratic mappings in 2-Banach spaces. In 2018, EL-Fassi [15] investigated the generalized hyperstability of bi-Jensen functional equation in (2, β )-Banach spaces.

In this study, we solved the solution and investigated the stability of the multi-variable bi-Jensen-type functional equation (3) in 2-Banach spaces and quasi-Banach spaces.

2 Main results

We introduce some definitions on 2-Banach spaces [16,17].

Definition 2

Let X be a real vector space with dim X 2 and , : X 2 R be a function. Then, ( X , , ) is called a linear 2-normed space if the following conditions hold:

  1. x , y = 0 if and only if x and y are linearly dependent,

  2. x , y = y , x ,

  3. α x , y = α x , y ,

  4. x , y + z x , y + x , z ,

for all α R and x , y , z X . In this case, the function , is called a 2-norm on X .

Definition 3

Let { x n } be a sequence in a linear 2-normed space X . The sequence { x n } is said to be convergent in X if there exists an element x X such that

lim n x n x , y = 0

for all y X . In this case, we say that the sequence { x n } converges to the limit x , simply, denoted by lim n x n = x .

Definition 4

A sequence { x n } in a linear 2-normed space X is called a Cauchy sequence if there are two linearly independent points y , z X such that for any ε > 0 , there exists N N such that for all m , n N , x m x n , y < ε and x m x n , z < ε . A 2-Banach space is defined to be a linear 2-normed space in which every Cauchy sequence is convergent.

In the following lemma, we obtain some basic properties in a linear 2-normed space, which will be used to prove the stability results.

Lemma 1

[14] Let ( X , , ) be a linear 2-normed space and x X .

  1. If x , y = 0 for all y X , then x = 0 .

  2. x , z y , z x y , z for all x , y , z X .

  3. If a sequence { x n } is convergent in X , then lim n x n , y = lim n x n , y for all y X .

Let X be a normed space and Y be a 2-Banach space.

Lemma 2

Let f : X × X Y satisfy (3). And let g x , g y : X Y be given by g x ( y ) f ( x , y ) f ( x , 0 ) and g y ( x ) f ( x , y ) f ( 0 , y ) for all x , y X . Then, g x is additive for all x X and g y is additive for all y X .

Proof

Letting x 1 = x 2 = = x n = x , y 1 = y , and y 2 = = y n = 0 in (3), we have

n f x , y n = f ( x , y ) + ( n 1 ) f ( x , 0 )

for all x , y X . So, we have

(4) n g x y n = n f x , y n n f ( x , 0 ) = f ( x , y ) f ( x , 0 ) = g x ( y )

for all x , y X . Putting x 1 = x 2 = = x n = x and y 3 = = y n = 0 in (3), we have

n f x , y 1 + y 2 n = f ( x , y 1 ) + f ( x , y 2 ) + ( n 2 ) f ( x , 0 )

for all x , y 1 , y 2 X . So, we have

n g x y 1 + y 2 n = n f x , y 1 + y 2 n n f ( x , 0 ) = f ( x , y 1 ) + f ( x , y 2 ) 2 f ( x , 0 ) = g x ( y 1 ) + g x ( y 2 )

for all x , y 1 , y 2 X . By equation (4) and the aforementioned equation, we know that g x is additive for all x X . Similarly, we also know that g y is additive for all y X .□

Theorem 1

A mapping f : X × X Y satisfies (1) if and only if it satisfies (3).

Proof

First, we assume that f satisfies (1). By [9], there exist a bi-additive mapping B : X × X Y and two additive mappings A , A : X Y such that f ( x , y ) = B ( x , y ) + A ( x ) + A ( y ) + f ( 0 , 0 ) for all x , y X . Thus, we have

n 2 f x 1 + + x n n , y 1 + + y n n = n 2 B 1 n i = 1 n x i , 1 n j = 1 n y j + n 2 A 1 n i = 1 n x i + n 2 A 1 n j = 1 n y j + n 2 f ( 0 , 0 ) = i = 1 n j = 1 n B ( x i , y j ) + n i = 1 n A ( x i ) + n j = 1 n A ( y j ) + n 2 f ( 0 , 0 ) = i = 1 n j = 1 n B ( x i , y j ) + i = 1 n j = 1 n A ( x i ) + i = 1 n j = 1 n A ( y j ) + i = 1 n j = 1 n f ( 0 , 0 ) = i = 1 n j = 1 n f ( x i , y j )

for all x 1 , , x n , y 1 , , y n X , i.e., f satisfies (3).

Conversely, assume that f satisfies (3). Define g x , g y : X Y by g x ( y ) f ( x , y ) f ( x , 0 ) and g y ( x ) f ( x , y ) f ( 0 , y ) for all x , y X . By Lemma 2, g x is additive for all x X and g y is additive for all y X . Thus, we obtain

2 g x y + z 2 = g x ( y ) + g x ( z )

and

2 f x , y + z 2 = 2 g x y + z 2 + 2 f ( x , 0 ) = f ( x , y ) + f ( x , z )

for all x , y , z X . Similarly, we obtain

2 f x + y 2 , z = f ( x , z ) + f ( y , z )

for all x , y , z X , i.e., f satisfies (1).□

The following theorem proves the stability of equation (3) in 2-Banach spaces.

Theorem 2

Let r ( 0 , 2 ) , ε > 0 , δ , η 0 , and let f : X × X Y be a surjection satisfying f ( x , 0 ) = 0 such that

(5) n 2 f x 1 + + x n n , y 1 + + y n n i = 1 n j = 1 n f ( x i , y j ) , f ( s , t ) ε + δ i = 1 n x i r + j = 1 n y j r + η ( s + t )

for all x , x 1 , , x n , y 1 , , y n , s , t X . Then, there exists a unique bi-additive mapping F : X × X Y such that

(6) f ( x , y ) f ( 0 , y ) F ( x , y ) , f ( s , t ) 2 n 2 1 [ ε + η ( s + t ) ] + n r δ n 2 n r ( x r + 2 y r )

for all x , y , s , t X .

Proof

Let g ( x , y ) f ( x , y ) f ( 0 , y ) for all x , y X . Then, g ( 0 , y ) = 0 for all y X . By (5), g satisfies

(7) n 2 g x 1 + + x n n , y 1 + + y n n i = 1 n j = 1 n g ( x i , y j ) , f ( s , t ) 2 ε + δ i = 1 n x i r + 2 j = 1 n y j r + 2 η ( s + t )

for all x , x 1 , , x n , y 1 , , y n , s , t X . Putting x 1 = n k + 1 x , x 2 = = x n = 0 , y 1 = n k + 1 y , y 2 = = y n = 0 in (7), we gain

(8) 1 n 2 k g ( n k x , n k y ) 1 n 2 ( k + 1 ) g ( n k + 1 x , n k + 1 y ) , f ( s , t ) 1 n 2 ( k + 1 ) [ 2 ε + δ n r ( k + 1 ) ( x r + 2 y r ) + 2 η ( s + t ) ]

for all x , y , s , t X and all k . Thus, we have

(9) 1 n 2 l g ( n l x , n l y ) 1 n 2 m g ( n m x , n m y ) , f ( s , t ) k = l m 1 1 n 2 ( k + 1 ) [ 2 ε + δ n r ( k + 1 ) ( x r + 2 y r ) + 2 η ( s + t ) ]

for all integers l , m ( 0 l < m ) and all x , y , s , t X . By (9), the sequence { 1 n 2 k g ( n k x , n k y ) } is a Cauchy sequence for each x , y X . Since Y is complete, the sequence { 1 n 2 k g ( n k x , n k y ) } converges for each x , y X .

Define F : X × X Y by:

(10) F ( x , y ) lim k 1 n 2 k g ( n k x , n k y )

for all x , y X . By (7), we have

1 n 2 k n 2 g n k 1 i = 1 n x i , n k 1 j = 1 n y j i = 1 n j = 1 n g ( n k x i , n k y j ) , f ( s , t ) 1 n 2 k 2 ε + n k r δ i = 1 n x i r + 2 j = 1 n y j r + 2 η ( s + t )

for all x 1 , , x n , y 1 , , y n , s , t X and all k . Letting k in the aforementioned inequality, we obtain that F satisfies (3). By Theorem 1, F is a bi-Jensen mapping. Setting l = 0 and taking m in (9), one can obtain inequality (6).

Define G x , G y : X Y by G x ( y ) F ( x , y ) F ( x , 0 ) and G y ( x ) F ( x , y ) F ( 0 , y ) for all x , y X . By Lemma 2, G x is additive for all x X and G y is additive for all y X . Since F ( x , 0 ) = F ( 0 , y ) = 0 for all x , y X , we have G x ( y ) = G y ( x ) = F ( x , y ) for all x , y X . Hence, F is bi-additive.

Let G : X × X Y be another bi-additive mapping satisfying (6). Then, we have

F ( x , y ) G ( x , y ) , f ( s , t ) = lim k 1 n 2 k f ( n k x , n k y ) f ( 0 , n k y ) G ( n k x , n k y ) , f ( s , t ) lim k 1 n 2 k 2 n 2 1 [ ε + η ( s + t ) ] + n r ( k + 1 ) δ n 2 n r ( x r + 2 y r ) = 0

for all x , y , s , t X . So F = G .□

In [1820], one can find the concept of quasi-Banach spaces.

Definition 5

Let X be a real vector space. A quasi-norm is a real-valued function on X satisfying the following:

  1. x 0 for all x X and x = 0 if and only if x = 0 .

  2. λ x = λ x for all λ R and all x X .

  3. There is a constant K 1 such that x + y K ( x + y ) for all x , y X .

The pair ( X , ) is called a quasi-normed space if  is a quasi-norm on X . The smallest possible K is called the modulus of concavity of . A quasi-Banach space is a complete quasi-normed space. A quasi-norm is called a p-norm ( 0 < p 1 ) if

x + y p x p + y p

for all x , y X . In this case, a quasi-Banach space is called a p-Banach space.

From now on, assume that X is a quasi-normed space with quasi-norm and that Y is a p -Banach space with p -norm Y . Let K be the modulus of concavity of Y .

We will use the following lemma in the proof of the next theorem.

Lemma 3

[21] Let 0 p 1 and let x 1 , x 2 , , x n be non-negative real numbers. Then,

( x 1 + x 2 + + x n ) p x 1 p + x 2 p + + x n p .

The following theorem proves the stability of equation (3) in quasi-Banach spaces.

Theorem 3

Let r ( 0 , 2 ) , ε > 0 , δ 0 and let f : X × X Y be a mapping satisfying f ( x , 0 ) = 0 such that

(11) n 2 f x 1 + + x n n , y 1 + + y n n i = 1 n j = 1 n f ( x i , y j ) Y ε + δ i = 1 n x i r + j = 1 n y j r

for all x , x 1 , , x n , y 1 , , y n X . Then, there exists a unique bi-additive mapping F : X × X Y such that

(12) f ( x , y ) f ( 0 , y ) F ( x , y ) Y 2 ε p n 2 p 1 + n p r δ p n 2 p n p r ( x p r + 2 y p r ) 1 p

for all x , y X .

Proof

Letting x 1 = n k + 1 x , x 2 = = x n = 0 , y 1 = n k + 1 y , y 2 = = y n = 0 in (11), we gain

1 n 2 k f ( n k x , n k y ) 1 n 2 ( k + 1 ) f ( n k + 1 x , n k + 1 y ) n 1 n 2 ( k + 1 ) f ( 0 , n k + 1 y ) Y 1 n 2 ( k + 1 ) [ ε + δ n r ( k + 1 ) ( x r + y r ) ]

for all x , y X and all k . Putting x = 0 in the aforementioned inequality, we obtain

1 n 2 k f ( 0 , n k y ) n n 2 ( k + 1 ) f ( 0 , n k + 1 y ) Y 1 n 2 ( k + 1 ) [ ε + δ n r ( k + 1 ) y r ]

for all y X and all k . By the aforementioned two inequalities, we have

(13) 1 n 2 k [ f ( n k x , n k y ) f ( 0 , n k y ) ] 1 n 2 ( k + 1 ) [ f ( n k + 1 x , n k + 1 y ) f ( 0 , n k + 1 y ) ] Y p 1 n 2 p ( k + 1 ) [ 2 ε p + δ p n p r ( k + 1 ) ( x p r + 2 y p r ) ]

for all x , y X and all k . Thus, we have

(14) 1 n 2 l [ f ( n l x , n l y ) f ( 0 , n l y ) ] 1 n 2 m [ f ( n m x , n m y ) f ( 0 , n m y ) ] Y p k = l m 1 1 n 2 p ( k + 1 ) [ 2 ε p + δ p n p r ( k + 1 ) ( x p r + 2 y p r ) ]

for all integers l , m ( 0 l < m ) and all x , y X . By (14), the sequence { 1 n 2 k [ f ( n k x , n k y ) f ( 0 , n k y ) ] } is a Cauchy sequence for all x , y X . Since Y is complete, the sequence { 1 n 2 k [ f ( n k x , n k y ) f ( 0 , n k y ) ] } converges for all x , y X .

Define F : X × X Y by:

F ( x , y ) lim k 1 n 2 k [ f ( n k x , n k y ) f ( 0 , n k y ) ]

for all x , y X . Setting x 1 = = x n = 0 in (11), we gain

n 2 f 0 , 1 n j = 1 n y j n j = 1 n f ( 0 , y j ) Y ε + δ j = 1 n y j r

for all y 1 , , y n X . By (11), the aforementioned inequality and Lemma 3, we have

1 n 2 p k n 2 f n k 1 i = 1 n x i , n k 1 j = 1 n y j n 2 f 0 , n k 1 j = 1 n y j i = 1 n j = 1 n [ f ( n k x i , n k y j ) f ( 0 , n k y j ) ] Y p 1 n 2 p k 2 ε p + n k r p δ p i = 1 n x i p r + 2 j = 1 n y j p r = 2 ε p 1 n 2 p k + n ( r 2 ) p k δ p i = 1 n x i p r + 2 j = 1 n y j p r

for all x 1 , , x n , y 1 , , y n X and all k . Letting k in the aforementioned inequality, we obtain that F satisfies (3).

Define G x , G y : X Y by G x ( y ) F ( x , y ) F ( x , 0 ) and G y ( x ) F ( x , y ) F ( 0 , y ) for all x , y X . By Lemma 2, G x is additive for all x X and G y is additive for all y X . Since F ( x , 0 ) = F ( 0 , y ) = 0 for all x , y X , we have G x ( y ) = G y ( x ) = F ( x , y ) for all x , y X . Hence, F is bi-additive. Setting l = 0 and taking m in (14), one can obtain inequality (12).

To prove the uniqueness of F , let G : X × X Y be another bi-additive mapping satisfying (12). Then, we have

F ( x , y ) G ( x , y ) Y = lim k 1 n 2 k f ( n k x , n k y ) f ( 0 , n k y ) G ( n k x , n k y ) Y lim k 1 n 2 k 2 ε p n 2 p 1 + n p r ( k + 1 ) δ p n 2 p n p r ( x p r + 2 y p r ) 1 p = 0

for all x , y X . So F = G .□

Taking n = 2 and δ = 0 in Theorem 3, we obtain the following corollary. The result coincides with the one of Corollary 4 in [22].

Corollary 1

Let ε > 0 be fixed. Suppose that f : X × X Y be a mapping satisfying f ( x , 0 ) = 0 such that

4 f x + y 2 , z + w 2 f ( x , z ) f ( x , w ) f ( y , z ) f ( y , w ) Y ε

for all x , y , z , w X . Then, there exists a unique bi-additive mapping F : X × X Y satisfying

f ( x , y ) f ( 0 , y ) F ( x , y ) Y ε 2 4 p 1 1 p

for all x , y X .

3 Conclusion

We demonstrated the stability of the multi-variable bi-Jensen functional equation (3) as the duplicative fusion equation of the multi-variable Jensen functional equation:

n f x 1 + + x n n = f ( x 1 ) + + f ( x n ) .

Acknowledgement

The authors would like to thank the handling editor and the referees for their helpful comments and suggestions.

  1. Funding information: This research received no external funding.

  2. Author contributions: All authors contributed equally to the writing of this article. All authors have accepted responsibility for entire content of the manuscript and approved its submission.

  3. Conflict of interest: The authors state no conflict of interest.

  4. Data availability statement: Data sharing is not applicable to the article as no datasets were generated or analyzed during this study.

  5. Ethical approval: The conducted research is not related to either human or animal use.

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Received: 2022-12-08
Revised: 2023-04-28
Accepted: 2023-07-19
Published Online: 2023-12-20

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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