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Some new Hermite-Hadamard-type inequalities for strongly h-convex functions on co-ordinates

  • Weizhi Hong , Yanran Xu , Jianmiao Ruan EMAIL logo and Xinsheng Ma
Published/Copyright: September 16, 2024

Abstract

In this article, we study some Hermite-Hadamard-type inequalities for strongly h -convex functions on co-ordinates in R n , which extend some known results. Some mappings connected with these inequalities and related applications are also obtained.

MSC 2010: 26A51; 26D07; 26D15

1 Introduction

Let I be an interval in R and h : ( 0 , 1 ) [ 0 , ) be a given function. Following Varošanec [1], a function f : I R is said to be h -convex, provided that

(1.1) f ( t x + ( 1 t ) y ) h ( t ) f ( x ) + h ( 1 t ) f ( y )

holds for all x , y I and t ( 0 , 1 ) . This notation unifies and generalizes the known classes of convex functions, s-convex functions, Godunova-Levin functions, and P-functions, which are obtained by taking in (1.1) h ( t ) = t , h ( t ) = t s ( s ( 0 , 1 ) ) , h ( t ) = 1 t , and h ( t ) = 1 , respectively. Many properties of them can be found, for instance, in [29].

An important and interesting property with respect to the convex function is the Hermite-Hadamard inequality: if f : I R is a convex function and a , b I with a < b , then

(1.2) f a + b 2 1 b a a b f ( x ) d x f ( a ) + f ( b ) 2 .

This inequality was studied extensively and had been extended under various convex-type functions. In 1995, Dragomir et al. [10] established similar results for Godunova-Levin functions and P -functions. In 1999, Dragomir and Fitzpatrick [11] obtained a analogous inequality for the s -convex function. In 2008, Sarikaya et al. [12] proved the following result for the h -convex function.

Theorem A

Let f be a h-convex function on the interval I and h be Lebesgue integrable on ( 0 , 1 ) with h ( 1 2 ) > 0 . If for any a , b I with a < b , f is Lebesgue integrable on [ a , b ] , then

(1.3) 1 2 h ( 1 2 ) f a + b 2 1 b a a b f ( x ) d x ( f ( a ) + f ( b ) ) 0 1 h ( t ) d t .

It is notable that (1.3) reduces to the results in [10] by h ( t ) = 1 t , h ( t ) = 1 and to the one in [11] by h ( t ) = t s , respectively.

Recall that a function f : I R is called strongly convex with modulus c > 0 , provided that

(1.4) f ( t x + ( 1 t ) y ) t f ( x ) + ( 1 t ) f ( y ) c t ( 1 t ) ( x y ) 2 ,

for all x , y I and t ( 0 , 1 ) . Strongly convex functions were introduced by Polyak [13] in 1966, and they played a significant role in optimization theory and mathematical economics (see, e.g., [1322]). In 2011, Angulo et al. [23] generalized the classes of strongly convex functions and h -convex functions as follows:

Definition 1

Let h : ( 0 , 1 ) [ 0 , ) be a given function and c be a positive constant. We say that f : I R is strongly h -convex with modulus c , or f belongs to the class S X ( h , c , I ) , if

(1.5) f ( t x + ( 1 t ) y ) h ( t ) f ( x ) + h ( 1 t ) f ( y ) c t ( 1 t ) ( x y ) 2 ,

for all x , y I and t ( 0 , 1 ) .

Particularly, if f satisfies (1.5) with h ( t ) = t , h ( t ) = t s ( s ( 0 , 1 ) ) , h ( t ) = 1 t , and h ( t ) = 1 , then f is said to be strongly convex functions, strongly s-convex functions, strongly Godunova-Levin functions, and strongly P-function, respectively. Moreover, it is not difficult to check that h ( 1 2 ) > 0 if f S X ( h , c , I ) and f 0 . As an application, Angulo et al. [23] established the following Hermite-Hadamard inequality.

Theorem B

Let f S X ( h , c , I ) and h be Lebesgue integrable on ( 0 , 1 ) with h ( 1 2 ) > 0 . If for any a , b I with a < b and f is Lebesgue integrable on [ a , b ] , then

(1.6) 1 2 h ( 1 2 ) f a + b 2 + c 12 ( b a ) 2 1 b a a b f ( x ) d x ( f ( a ) + f ( b ) ) 0 1 h ( t ) d t c 6 ( b a ) 2 .

It is easy to see that Theorem B reduces to Theorem A with c 0 .

The main purpose of this article is to give new Hermite-Hadamard-type inequalities under the cases of strongly h -convex functions on multi-dimension spaces and study some related mappings.

2 Preliminaries

In the sequel, unless otherwise specified, R n denotes the Euclidean space of dimension n and R 1 = R . [ a , b ] R n denotes the usual Cartesian product by [ a , b ] = [ a 1 , b 1 ] × [ a 2 , b 2 ] × × [ a n , b n ] and the Lebesgue measure of it by [ a , b ] = i = 1 n ( b i a i ) . Denote by L 1 ( E ) the set of Lebesgue integrable functions on the measurable set E R n . For any points x = ( x 1 , x 2 , , x n ) , y = ( y 1 , y 2 , , y n ) R n , define the product of vectors by

x y = ( x 1 y 1 , x 2 y 2 , , x n y n ) ,

the linear combination of vectors by

a x + b y = ( a x 1 + b y 1 , a x 2 + b y 2 , , a x n + b y n ) , a , b R ,

and the norm of x by

x = x 1 2 + x 2 2 + + x n 2 .

A mapping f : [ a , b ] R n R is said to be an h -convex function on [ a , b ] if

f ( t x + ( 1 t ) y ) h ( t ) f ( x ) + h ( 1 t ) f ( y )

holds for all x , y [ a , b ] and t ( 0 , 1 ) .

A function f : [ a , b ] R n R is called coordinated h-convex on [ a , b ] if for every i { 1 , 2 , , n } the partial mapping f i : [ a i , b i ] R , f i ( u ) = f ( x 1 , , x i 1 , u , x i + 1 , , x n ) is h -convex for all given x j [ a j , b j ] , j i .

Particularly, taking h ( t ) = t , h ( t ) = t s ( s ( 0 , 1 ) ) , h ( t ) = 1 t , and h ( t ) = 1 , then the corresponding function f : [ a , b ] R is called the coordinated convex, coordinated s-convex, coordinated Godunova-Levin function, and coordinated P-function on [ a , b ] , respectively.

It is notable to point out that Latif and Alomari [24] proved that if f : [ a , b ] R n R is convex, then f is also coordinated convex on [ a , b ] ( n 2 ), but the converse is not necessarily true.

One interesting work related to Hermite-Hadamard-type inequalities is to extend them to high-dimension spaces. In 2001, Dragomir [25] proved the following Hermite-Hadamard-type inequality for coordinated convex functions.

Theorem C

Let f : [ a , b ] R 2 R be a coordinated convex on [ a , b ] and f L 1 ( [ a , b ] ) . Then

f a 1 + b 1 2 , a 2 + b 2 2 1 ( b 1 a 1 ) ( b 2 a 2 ) a 2 b 2 a 1 b 1 f ( x 1 , x 2 ) d x 1 d x 2 f ( a 1 , a 2 ) + f ( a 1 , b 2 ) + f ( b 1 , a 2 ) + f ( b 1 , b 2 ) 4 .

Thereafter, Alomari and Darus [26] extended similar results for coordinated s -convex functions. Latif and Alomari [24] considered the case of coordinated h -convex functions and they obtained the following theorem.

Theorem D

Let h : ( 0 , 1 ) [ 0 , ) with h ( 1 2 ) > 0 and h L 1 ( ( 0 , 1 ) ) . Suppose that f : [ a , b ] R 2 R be a coordinated h-convex function on [ a , b ] and f L 1 ( [ a , b ] ) . Then

1 4 h 2 ( 1 2 ) f a 1 + b 1 2 , a 2 + b 2 2 1 ( b 1 a 1 ) ( b 2 a 2 ) a 2 b 2 a 1 b 1 f ( x 1 , x 2 ) d x 1 d x 2 [ f ( a 1 , a 2 ) + f ( a 1 , b 2 ) + f ( b 1 , a 2 ) + f ( b 1 , b 2 ) ] 0 1 h ( t ) d t 2 .

Definition 2

Let h : ( 0 , 1 ) [ 0 , ) . A function f : [ a , b ] R n R is called strongly h -convex with modulus c > 0 if

f ( t x + ( 1 t ) y ) h ( t ) f ( x ) + h ( 1 t ) f ( y ) c t ( 1 t ) x y 2

holds for any x , y [ a , b ] and t ( 0 , 1 ) .

Definition 3

Let h : ( 0 , 1 ) [ 0 , ) . A function f : [ a , b ] R n R is called coordinated strongly h -convex with modulus c > 0 on [ a , b ] , provided that the partial mapping f i is strongly h -convex with modulus c > 0 on the interval [ a i , b i ] for every i { 1 , 2 , , n } and all given x j [ a j , b j ] , j i .

Another interesting topic is to provide some applications of the Hermite-Hadamard inequalities. Let f : [ a , b ] R n R , define the mapping H : [ 0 , 1 ] = [ 0 , 1 ] n R n R by

(2.1) H ( t ) = 1 [ a , b ] [ a , b ] f t x + ( 1 t ) a + b 2 d x .

It is easy to see that

H ( 0 ) = H ( 0 , , 0 ) = f a + b 2 , H ( 1 ) = H ( 1 , , 1 ) = 1 [ a , b ] [ a , b ] f ( x ) d x .

In 2001, Dragomir [25] studied some properties of the mapping connected to the Hermite-Hadamard-type inequalities of coordinated convex functions on the plane.

Theorem E

[25] If f : [ a , b ] R 2 R is coordinated convex on [ a , b ] , then:

  1. The mapping H : [ 0 , 1 ] = [ 0 , 1 ] 2 R is coordinated convex on [ 0 , 1 ] 2 .

  2. sup t [ 0 , 1 ] H ( t ) = H ( 1 ) , inf t [ 0 , 1 ] H ( t ) = H ( 0 ) .

In 2008, Alomari and Darus [27] extended Theorem E to the case of coordinated s -convex functions. In 2013, Matłoka [28] obtained similar results for coordinated h -convex functions.

Theorem F

[28] Let h 1 , h 2 : ( 0 , 1 ) [ 0 , ) with h 1 , h 2 L 1 ( ( 0 , 1 ) ) and h 1 ( 1 2 ) h 2 ( 1 2 ) > 0 . Suppose that the function f : [ a , b ] R 2 R , f L ( [ a , b ] ) and its partial mappings f ( , x 2 ) and f ( x 1 , ) are h 1 -convex on [ a 1 , b 1 ] and h 2 -convex on [ a 2 , b 2 ] , respectively. H : [ 0 , 1 ] = [ 0 , 1 ] 2 R is defined by (2.1), then

  1. The partial mappings H ( , t 2 ) and H ( t 1 , ) are h 1 -convex and h 2 -convex on [ 0 , 1 ] , respectively.

  2. 1 4 h 1 ( 1 2 ) h 2 ( 1 2 ) H ( 0 , 0 ) H ( t 1 , t 2 )

    holds for all ( t 1 , t 2 ) [ 0 , 1 ] × [ 0 , 1 ] .

Another interesting mapping connected closely with Hermite-Hadamard’s inequalities F : [ 0 , 1 ] = [ 0 , 1 ] n R n R is given by

(2.2) F ( t ) = 1 [ a , b ] 2 [ a , b ] [ a , b ] f ( t x + ( 1 t ) y ) d x d y .

Clearly,

F ( 0 ) F ( 0 , , 0 ) = F ( 1 ) F ( 1 , , 1 ) = 1 [ a , b ] [ a , b ] f ( x ) d x , F ( 1⁄2 ) F ( 1 2 , , 1 2 ) = 1 [ a , b ] 2 [ a , b ] [ a , b ] f x + y 2 d x d y .

Dragomir and Pearce [29] obtained the following results.

Theorem G

If f : [ a , b ] R 2 R is coordinated convex on [ a , b ] , then:

  1. The mapping F is coordinated convex on [ 0 , 1 ] 2 .

  2. sup t [ 0 , 1 ] 2 F ( t ) = F ( 0 ) = F ( 1 ) , inf t [ 0 , 1 ] 2 F ( t ) = F ( 1⁄2 ) .

Throughout the article, we assume that the function h in the above definitions is always Lebesgue integrable on the interval [ 0 , 1 ] and satisfies h ( 1 2 ) > 0 . In the next section, we will generalize the above theorems for strongly h -convex functions on R n .

3 Main results

Theorem 1

Let f : [ a , b ] R n R and f L 1 ( [ a , b ] ) . If the partial mapping f i is a strongly h i -convex function with modulus c i > 0 on [ a i , b i ] , i.e., f i S X ( h i , c i , [ a i , b i ] ) , for i = 1 , 2 , , n , respectively, then

1 2 n i = 1 n h i ( 1 2 ) f a + b 2 + A ˜ 1 1 2 n i = 1 n h i ( 1 2 ) f a + b 2 + A 1 1 [ a , b ] [ a , b ] f ( x ) d x i = 1 n 0 1 h i ( t ) d t d i = a i o r b i , i = 1 , , n f ( d 1 , , d n ) 1 i = 1 n 0 1 h i ( t ) d t d i = a i o r b i , i = 1 , , n f ( d 1 , , d n ) ˜ 1 ,

where

A 1 = max λ i { 1 , 2 , , n } λ i λ j , i j k = 1 n 1 2 k i = 1 k h λ i ( 1 2 ) c λ k 12 ( b λ k a λ k ) 2 , A ˜ 1 = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j k = 1 n 1 2 k i = 1 k h λ i ( 1 2 ) c λ k 12 ( b λ k a λ k ) 2 , 1 = max λ i { 1 , 2 , , n } λ i λ j , i j k = 0 n 1 2 k i = 0 k 0 1 h λ i ( t ) d t c λ k + 1 6 ( b λ k + 1 a λ k + 1 ) 2 , ˜ 1 = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j k = 0 n 1 2 k i = 0 k 0 1 h λ i ( t ) d t c λ k + 1 6 ( b λ k + 1 a λ k + 1 ) 2 ;

here we denote h λ 0 1 .

Proof

Since the first and fourth inequalities are obvious, we will pay more attention to prove the second and third inequalities. It follows from Fubini’s theorem and Theorem B that, for each λ 1 { 1 , 2 , , n } ,

1 [ a , b ] [ a , b ] f ( x ) d x = 1 j = 1 n ( b j a j ) a n b n a λ 1 + 1 b λ 1 + 1 a λ 1 1 b λ 1 1 a 1 b 1 a λ 1 b λ 1 × f ( x 1 , , x λ 1 1 , x λ 1 , x λ 1 + 1 , , x n ) d x λ 1 d x 1 d x λ 1 1 d x λ 1 + 1 d x n 0 1 h λ 1 ( t ) d t j λ 1 ( b j a j ) a n b n a λ 1 + 1 b λ 1 + 1 a λ 1 1 b λ 1 1 a 1 b 1 [ f ( x 1 , , x λ 1 1 , a λ 1 , x λ 1 + 1 , , x n ) + f ( x 1 , , x λ 1 1 , b λ 1 , x λ 1 + 1 , , x n ) ] d x 1 d x λ 1 1 d x λ 1 + 1 d x n c λ 1 6 ( b λ 1 a λ 1 ) 2 .

A similar argument as above tells us that, for any λ 2 { 1 , 2 , , n } \ { λ 1 } ,

0 1 h λ 1 ( t ) d t j λ 1 ( b j a j ) a n b n a λ 1 + 1 b λ 1 + 1 a λ 1 1 b λ 1 1 a 1 b 1 f ( x 1 , , x λ 1 1 , c λ 1 , x λ 1 + 1 , , x n ) d x 1 d x λ 1 1 d x λ 1 + 1 d x n 0 1 h λ 1 ( t ) d t 0 1 h λ 2 ( t ) d t j λ 1 , λ 2 ( b j a j ) a n b n a λ 2 + 1 b λ 2 + 1 a λ 2 1 b λ 2 1 a λ 1 + 1 b λ 1 + 1 a λ 1 1 b λ 1 1 a 1 b 1 × [ f ( x 1 , , x λ 1 1 , d λ 1 , x λ 1 + 1 , , x λ 2 1 , a λ 2 , x λ 2 + 1 , , x n ) + f ( x 1 , , x λ 1 1 , d λ 1 , x λ 1 + 1 , , x λ 2 1 , b λ 2 , x λ 2 + 1 , , x n ) ] d x 1 d x λ 1 1 d x λ 1 + 1 d x λ 2 1 d x λ 2 + 1 d x n 0 1 h λ 1 ( t ) d t c λ 2 6 ( b λ 2 a λ 2 ) 2 ,

where d λ 1 = a λ 1 or b λ 1 . Then, by induction, we have

1 [ a , b ] [ a , b ] f ( x ) d x i = 1 n 0 1 h i ( t ) d t d i = a i or b i , i = 1 , , n f ( d 1 , , d n ) c λ 1 6 ( b λ 1 a λ 1 ) 2 2 0 1 h λ 1 ( t ) d t c λ 2 6 ( b λ 2 a λ 2 ) 2 2 2 i = 1 2 0 1 h λ i ( t ) d t c λ 3 6 ( b λ 3 a λ 3 ) 2 2 n 1 i = 1 n 1 0 1 h λ i ( t ) d t c λ n 6 ( b λ n a λ n ) 2 ,

where λ i { 1 , 2 , , n } , i = 1 , 2 , , n , and λ i λ j if i j . This completes the proof of the third inequality.

On the other hand, according to Fubini’s theorem and Theorem B again, for any λ 1 { 1 , 2 , , n } , we have

1 [ a , b ] [ a , b ] f ( x ) d x 1 2 h λ 1 ( 1 2 ) j λ 1 ( b j a j ) a n b n a λ 1 + 1 b λ 1 + 1 a λ 1 1 b λ 1 1 a 1 b 1 × f x 1 , , x λ 1 1 , a λ 1 + b λ 1 2 , x λ 1 + 1 , , x n d x 1 d x λ 1 1 d x λ 1 + 1 d x n + 1 2 h λ 1 ( 1 2 ) c λ 1 12 ( b λ 1 a λ 1 ) 2 .

Then for any λ 2 { 1 , 2 , , n } \ { λ 1 } , similar discussion shows that

1 2 h λ 1 ( 1 2 ) j λ 1 ( b j a j ) a n b n a λ 1 + 1 b λ 1 + 1 a λ 1 1 b λ 1 1 a 1 b 1 × f x 1 , , x λ 1 1 , a λ 1 + b λ 1 2 , x λ 1 + 1 , , x n d x 1 d x λ 1 1 d x λ 1 + 1 d x n 1 2 2 h λ 1 ( 1 2 ) h λ 2 ( 1 2 ) j λ 1 , λ 2 ( b j a j ) a n b n a λ 2 + 1 b λ 2 + 1 a λ 2 1 b λ 2 1 a λ 1 + 1 b λ 1 + 1 a λ 1 1 b λ 1 1 a 1 b 1 × f x 1 , , x λ 1 1 , a λ 1 + b λ 1 2 , x λ 1 + 1 , , x λ 2 1 , a λ 2 + b λ 2 2 , x λ 2 + 1 , , x n × d x 1 d x λ 1 1 d x λ 1 + 1 d x λ 2 1 d x λ 2 + 1 d x n + 1 2 2 h λ 1 ( 1 2 ) h λ 2 ( 1 2 ) c λ 2 12 ( b λ 2 a λ 2 ) 2 .

Therefore, by induction,

1 [ a , b ] [ a , b ] f ( x ) d x 1 2 n i = 1 n h i ( 1 2 ) f a + b 2 + 1 2 h λ 1 ( 1 2 ) c λ 1 12 ( b λ 1 a λ 1 ) 2 + 1 2 2 i = 1 2 h λ i ( 1 2 ) c λ 2 12 ( b λ 2 a λ 2 ) 2 + + 1 2 n i = 1 n h λ i ( 1 2 ) c λ n 12 ( b λ n a λ n ) 2 ,

where { λ i } are as before, i.e., λ i { 1 , 2 , , n } , i = 1 , 2 , , n and λ i λ j if i j . Thus, we complete the proof of the theorem.□

In particular, taking c 1 = c 2 = = c n and h 1 = h 2 = = h n , we have the following conclusion.

Corollary 1

If f : [ a , b ] R n R is a coordinated strongly h-convex function with modulus c > 0 on [ a , b ] and f L 1 ( [ a , b ] ) , then

1 2 n h n ( 1 2 ) f a + b 2 + A ˜ 2 1 2 n h n ( 1 2 ) f a + b 2 + A 2 1 [ a , b ] [ a , b ] f ( x ) d x 0 1 h ( t ) d t n d i = a i or b i , i = 1 , , n f ( d 1 , , d n ) 2 0 1 h ( t ) d t n d i = a i or b i , i = 1 , , n f ( d 1 , , d n ) ˜ 2 ,

where

A 2 = max λ i { 1 , 2 , , n } λ i λ j , i j c 12 k = 1 n 1 ( 2 h ( 1 2 ) ) k ( b λ k a λ k ) 2 , A ˜ 2 = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j c 12 k = 1 n 1 ( 2 h ( 1 2 ) ) k ( b λ k a λ k ) 2 , 2 = max λ i { 1 , 2 , , n } λ i λ j , i j c 6 k = 0 n 1 2 0 1 h ( t ) d t k ( b λ k + 1 a λ k + 1 ) 2 , ˜ 2 = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j c 6 k = 0 n 1 2 0 1 h ( t ) d t k ( b λ k + 1 a λ k + 1 ) 2 .

Particularly, if [ a , b ] is a cube, i.e., [ a , b ] = [ a , b ] × × [ a , b ] , we have

1 2 n h n ( 1 2 ) f a + b 2 + c ( b a ) 2 12 k = 1 n 1 ( 2 h ( 1 2 ) ) k 1 [ a , b ] [ a , b ] f ( x ) d x 0 1 h ( t ) d t n d i = a o r b , i = 1 , , n f ( d 1 , , d n ) c ( b a ) 2 6 k = 0 n 1 2 0 1 h ( t ) d t k .

It is not difficult to check that Corollary 1 reduces to Theorem D if letting c 0 with n = 2 and, as a consequence, we have the following result.

Corollary 2

If f : [ a , b ] R n R is a coordinated strongly convex function with modulus c > 0 on [ a , b ] and f L 1 ( [ a , b ] ) , then

f a + b 2 + c 12 b a 2 1 [ a , b ] [ a , b ] f ( x ) d x 1 2 n d i = a i or b i , i = 1 , , n f ( d 1 , , d n ) c 6 b a 2 .

Obviously, Theorem C is obtained by letting c 0 in Corollary 2 for n = 2 .

Next we will give some applications of the Hermite-Hadamard inequalities. To prove our main results, we first introduce two key lemmas.

Lemma 1

Let f S X ( h , c , [ a , b ] ) . Define the mapping G : [ 0 , 1 ] R R by

G ( t ) = 1 b a a b f t x + ( 1 t ) a + b 2 d x .

Then:

  1. G S X h , c ( b a ) 2 12 , [ 0 , 1 ] .

  2. For any t [ 0 , 1 ] , we have

    (3.1) 1 2 h ( 1 2 ) f a + b 2 + c ( b a ) 2 12 t 2 G ( t ) G ( 1 ) [ h ( t ) + 2 h ( 1 2 ) h ( 1 t ) ] c ( b a ) 2 12 [ h ( 1 t ) + t ( 1 t ) ] .

    Particularly, if f is a strongly convex function with modulus c on [ a , b ] , we have

    (3.2) f a + b 2 + c ( b a ) 2 12 t 2 G ( t ) G ( 1 ) c ( b a ) 2 6 ( 1 t 2 ) .

Proof

(i) Let t 1 , t 2 , ξ , η [ 0 , 1 ] and ξ + η = 1 . For any x [ a , b ] , we have

f ( ξ t 1 + η t 2 ) x + [ 1 ( ξ t 1 + η t 2 ) ] a + b 2 = f ξ t 1 x + ( 1 t 1 ) a + b 2 + η t 2 x + ( 1 t 2 ) a + b 2 h ( ξ ) f t 1 x + ( 1 t 1 ) a + b 2 + h ( η ) f t 2 x + ( 1 t 2 ) a + b 2 c ξ η ( t 2 t 1 ) 2 x a + b 2 2 .

Therefore,

G ( ξ t 1 + η t 2 ) h ( ξ ) G ( t 1 ) + h ( η ) G ( t 2 ) c ξ η ( t 2 t 1 ) 2 b a a b x a + b 2 2 d x = h ( ξ ) G ( t 1 ) + h ( η ) G ( t 2 ) ξ η c ( b a ) 2 12 ( t 2 t 1 ) 2 ,

which completes the proof of (i).

(ii) A change of variable shows that

G ( t ) = 1 t ( b a ) ( 1 + t ) a + ( 1 t ) b 2 ( 1 t ) a + ( 1 + t ) b 2 f ( ξ ) d ξ .

Since

( 1 + t ) a + ( 1 t ) b 2 ( 1 t ) a + ( 1 + t ) b 2 = t ( b a ) , ( 1 + t ) a + ( 1 t ) b 2 + ( 1 t ) a + ( 1 + t ) b 2 = a + b ,

by Theorem B,

(3.3) G ( t ) 1 2 h ( 1 2 ) f a + b 2 + c ( b a ) 2 12 t 2

holds for all t [ 0 , 1 ] .

On the other hand, by Definition 1 and (3.3),

G ( t ) h ( t ) G ( 1 ) + h ( 1 t ) f a + b 2 c t ( 1 t ) b a a b x a + b 2 2 d x h ( t ) G ( 1 ) + h ( 1 t ) 2 h ( 1 2 ) G ( 1 ) c ( b a ) 2 12 c ( b a ) 2 12 t ( 1 t ) = G ( 1 ) [ h ( t ) + 2 h ( 1 2 ) h ( 1 t ) ] c ( b a ) 2 12 [ h ( 1 t ) + t ( 1 t ) ] .

Thus, we complete the proof of Lemma 1.□

Lemma 2

Let f S X ( h , c , [ a , b ] ) . Define the mapping P : [ 0 , 1 ] R R by

P ( t ) = 1 ( b a ) 2 a b a b f ( t x + ( 1 t ) y ) d x d y .

Then:

  1. P S X h , c ( b a ) 2 6 , [ 0 , 1 ] .

  2. For any t [ 0 , 1 ] , we have

    (3.4) 1 2 h ( 1 2 ) P ( 1 2 ) + c ( b a ) 2 24 ( 1 2 t ) 2 P ( t ) P ( 0 ) [ h ( t ) + h ( 1 t ) ] c ( b a ) 2 6 t ( 1 t ) = P ( 1 ) [ h ( t ) + h ( 1 t ) ] c ( b a ) 2 6 t ( 1 t ) .

Particularly, if f is a strongly convex function with modulus c on [ a , b ] , we have

(3.5) P ( 1 2 ) + c ( b a ) 2 24 ( 1 2 t ) 2 P ( t ) P ( 0 ) c ( b a ) 2 6 t ( 1 t ) = P ( 1 ) c ( b a ) 2 6 t ( 1 t ) .

Proof

(i) Let t 1 , t 2 , ξ , η [ 0 , 1 ] and ξ + η = 1 . Similar to the proof of Lemma 1, for any x [ a , b ] , we have

f ( ( ξ t 1 + η t 2 ) x + [ 1 ( ξ t 1 + η t 2 ) ] y ) h ( ξ ) f ( t 1 x + ( 1 t 1 ) y ) + h ( η ) f ( t 2 x + ( 1 t 2 ) y ) c ξ η ( t 2 t 1 ) 2 ( x y ) 2 .

Therefore,

P ( ξ t 1 + η t 2 ) h ( ξ ) P ( t 1 ) + h ( η ) P ( t 2 ) c ξ η ( t 2 t 1 ) 2 ( b a ) 2 a b a b ( x y ) 2 d x d y = h ( ξ ) P ( t 1 ) + h ( η ) P ( t 2 ) ξ η c ( b a ) 2 6 ( t 2 t 1 ) 2 ,

which completes the proof of (i).

(ii) Since

f x + y 2 h ( 1 2 ) [ f ( t x + ( 1 t ) y ) + f ( ( 1 t ) x + t y ) ] c 4 ( 1 2 t ) 2 ( x y ) 2 ,

Fubini’s theorem yields that

(3.6) P ( 1 2 ) = 1 ( b a ) 2 a b a b f x + y 2 d x d y 2 h ( 1 2 ) ( b a ) 2 a b a b f ( t x + ( 1 t ) y ) d x d y c ( 1 2 t ) 2 4 ( b a ) 2 a b a b ( x y ) 2 d x d y = 2 h ( 1 2 ) P ( t ) c ( b a ) 2 24 ( 1 2 t ) 2 .

On the other hand, we easily infer from Definition 2 that

P ( t ) h ( t ) ( b a ) 2 a b a b f ( x ) d x d y + h ( 1 t ) ( b a ) 2 a b a b f ( y ) d x d y c t ( 1 t ) ( b a ) 2 a b a b ( x y ) 2 d x d y = [ h ( t ) + h ( 1 t ) ] P ( 1 ) c ( b a ) 2 6 t ( 1 t ) = [ h ( t ) + h ( 1 t ) ] P ( 0 ) c ( b a ) 2 6 t ( 1 t ) ,

which combining with (3.6), obtains the desired results.□

It is notable that Lemmas 1 and 2 extend Theorems 1 and 2 in [30] as h ( t ) = t and c 0 , respectively. And using these results, Dragomir [30] provided applications on some interesting and basic inequalities.

Theorem 2

Let f : [ a , b ] R n R be as in Theorem 1. Then:

  1. For any j { 1 , 2 , , n } and any given t k [ 0 , 1 ] , k j , the partial mappings H j ( ) = H ( t 1 , , t j 1 , , t j + 1 , , t n ) S X h j , c j ( b a ) 2 12 , [ 0 , 1 ] respectively.

  2. For any t [ 0 , 1 ] R n ,

    (3.7) 1 2 n j = 1 n h j ( 1 2 ) H ( 0 ) + A ˜ 3 ( t ) 1 2 n j = 1 n h j ( 1 2 ) H ( 0 ) + A 3 ( t ) H ( t ) j = 1 n [ h j ( t j ) + 2 h j ( 1 2 ) h j ( 1 t j ) ] H ( 1 ) 3 ( t ) j = 1 n [ h j ( t j ) + 2 h j ( 1 2 ) h j ( 1 t j ) ] H ( 1 ) ˜ 3 ( t ) ,

    where

    A 3 ( t ) = max λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n 1 2 j i = 1 j h λ i ( 1 2 ) c λ j ( b λ j a λ j ) 2 12 t λ j 2 , A ˜ 3 ( t ) = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n 1 2 j i = 1 j h λ i ( 1 2 ) c λ j ( b λ j a λ j ) 2 12 t λ j 2 , 3 ( t ) = max λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n c λ j ( b λ j a λ j ) 2 12 [ h λ j ( 1 t λ j ) + t λ j ( 1 t λ j ) ] i = 0 j 1 [ h λ i ( t λ i ) + 2 h λ i ( 1 2 ) h λ i ( 1 t λ i ) ] , ˜ 3 ( t ) = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n c λ j ( b λ j a λ j ) 2 12 [ h λ j ( 1 t λ j ) + t λ j ( 1 t λ j ) ] i = 0 j 1 [ h λ i ( t λ i ) + 2 h λ i ( 1 2 ) h λ i ( 1 t λ i ) ] ;

    here we denote h λ 0 ( t λ 0 ) + 2 h λ 0 ( 1 2 ) h λ 0 ( 1 t λ 0 ) 1 .

Proof

The first and fourth inequalities of the proceeding theorem are clear, and we have to prove only the second and third inequalities.

(i) Without loss of generality, we just prove that H 1 ( ) is a strongly h 1 -convex function with modulus c 1 ( b 1 a 1 ) 2 12 on [ 0 , 1 ] R , the other follows the same procedure. For any ξ , η , u , v [ 0 , 1 ] and ξ + η = 1 , Fubini’s theorem and Definition 2 tell us that

H 1 ( ξ u + η v ) = 1 j = 1 n ( b j a j ) a n b n a 1 b 1 f ( ξ u + η v ) x 1 + [ 1 ( ξ u + η v ) ] a 1 + b 1 2 , t 2 x 2 + ( 1 t 2 ) a 2 + b 2 2 , , t n x n + ( 1 t n ) a n + b n 2 d x 1 d x 2 d x n = 1 j = 1 n ( b j a j ) a n b n a 1 b 1 f ξ u x 1 + ( 1 u ) a 1 + b 1 2 + η v x 1 + ( 1 v ) a 1 + b 1 2 , t 2 x 2 + ( 1 t 2 ) a 2 + b 2 2 , , t n x n + ( 1 t n ) a n + b n 2 d x 1 d x 2 d x n h 1 ( ξ ) H 1 ( u ) + h 1 ( η ) H 1 ( v ) c 1 ξ η ( u v ) 2 1 b 1 a 1 a 1 b 1 x 1 a 1 + b 1 2 2 d x 1 = h 1 ( ξ ) H 1 ( u ) + h 1 ( η ) H 1 ( v ) c 1 ( b 1 a 1 ) 2 ξ η 12 ( u v ) 2 ,

which means that H 1 ( ) S X h 1 , c 1 ( b 1 a 1 ) 2 12 , [ 0 , 1 ] . This proves Theorem 2 (i).

(ii) It follows from (3.1) and Fubini’s theorem that

H ( t ) h 1 ( t 1 ) + 2 h 1 ( 1 2 ) h 1 ( 1 t 1 ) j = 1 n ( b j a j ) × a n b n a 1 b 1 f x 1 , t 2 x 2 + ( 1 t 2 ) a 2 + b 2 2 , , t n x n + ( 1 t n ) a n + b n 2 d x 1 d x 2 d x n c 1 ( b 1 a 1 ) 2 12 [ h 1 ( 1 t 1 ) + t 1 ( 1 t 1 ) ] j = 1 2 [ h j ( t j ) + 2 h j ( 1 2 ) h j ( 1 t j ) ] j = 1 n ( b j a j ) × a n b n a 1 b 1 f x 1 , x 2 , t 3 x 3 + ( 1 t 3 ) a 3 + b 3 2 , , t n x n + ( 1 t n ) a n + b n 2 d x 1 d x 2 d x 3 d x n c 2 ( b 2 a 2 ) 2 12 [ h 2 ( 1 t 2 ) + t 2 ( 1 t 2 ) ] [ h 1 ( t 1 ) + 2 h 1 ( 1 2 ) h 1 ( 1 t 1 ) ] c 1 ( b 1 a 1 ) 2 12 [ h 1 ( 1 t 1 ) + t 1 ( 1 t 1 ) ] j = 1 n [ h j ( t j ) + 2 h j ( 1 2 ) h j ( 1 t j ) ] H ( 1 ) j = 1 n c j ( b j a j ) 2 12 [ h j ( 1 t j ) + t j ( 1 t j ) ] i = 0 j 1 [ h i ( t i ) + 2 h i ( 1 2 ) h i ( 1 t i ) ] ,

here we denote h 0 ( t 0 ) + 2 h 0 ( 1 2 ) h 0 ( 1 t 0 ) 1 . Changing the integral order and taking similar argument as above, for any class { λ 1 , , λ n } = { 1 , , n } , where λ i λ j if i j , we also have

H ( t ) j = 1 n [ h j ( t j ) + 2 h j ( 1 2 ) h j ( 1 t j ) ] H ( 1 ) j = 1 n c λ j ( b λ j a λ j ) 2 12 [ h λ j ( 1 t λ j ) + t λ j ( 1 t λ j ) ] i = 0 j 1 [ h λ i ( t λ i ) + 2 h λ i ( 1 2 ) h λ i ( 1 t λ i ) ] ,

where we define h λ 0 ( t λ 0 ) + 2 h λ 0 ( 1 2 ) h λ 0 ( 1 t λ 0 ) 1 . Then the third inequality in (3.7) is immediately obtained by the proceeding inequality.

On the other hand, using Lemma 1 and Fubini’s theorem again, we derive that

H ( t ) 1 2 h 1 ( 1 2 ) 1 j = 2 n ( b j a j ) a n b n a 2 b 2 × f a 1 + b 1 2 , t 2 x 2 + ( 1 t 2 ) a 2 + b 2 2 , , t n x n + ( 1 t n ) a n + b n 2 d x 2 d x n + 1 2 h 1 ( 1 2 ) c 1 ( b 1 a 1 ) 2 12 t 1 2 1 2 2 h 1 ( 1 2 ) h 2 ( 1 2 ) 1 j = 3 n ( b j a j ) a n b n a 3 b 3 f a 1 + b 1 2 , a 2 + b 2 2 , t 3 x 3 + ( 1 t 3 ) a 3 + b 3 2 , , t n x n + ( 1 t n ) a n + b n 2 d x 3 d x n + 1 2 2 h 1 ( 1 2 ) h 2 ( 1 2 ) c 2 ( b 2 a 2 ) 2 12 t 2 2 + 1 2 h 1 ( 1 2 ) c 1 ( b 1 a 1 ) 2 12 t 1 2 1 2 n j = 1 n h j ( 1 2 ) f a + b 2 + j = 1 n 1 2 j i = 1 j h i ( 1 2 ) c j ( b j a j ) 2 12 t j 2 .

A similar discussion as above, for any class { λ 1 , , λ n } = { 1 , , n } , here λ i λ j if i j , we also have

(3.8) H ( t ) 1 2 n j = 1 n h j ( 1 2 ) f a + b 2 + j = 1 n 1 2 j i = 1 j h λ i ( 1 2 ) c λ j ( b λ j a λ j ) 2 12 t λ j 2 .

Therefore, the proof of Theorem 2 is easily completed by (3.8).□

Obviously, Theorem 2 is an extension of Theorem F and, consequently, we have the following conclusion.

Corollary 3

Let f : [ a , b ] R n R be a coordinated strongly convex function with modulus c. Then:

  1. The partial mappings H j ( ) are strongly convex functions with modulus c ( b j a j ) 2 12 , j = 1 , 2 , n , respectively.

  2. For any t [ 0 , 1 ] R n ,

    H ( 0 ) + c 12 t ( b a ) 2 H ( t ) H ( 1 ) c 12 [ b a 2 t ( b a ) 2 ] .

Theorem H

Let f : [ a , b ] R n R be as in Theorem 2. Then:

  1. For any j { 1 , 2 , , n } and any given t k [ 0 , 1 ] , k j , the partial mappings F j ( ) = F ( t 1 , , t j 1 , , t j + 1 , , t n ) S X h j , c j ( b j a j ) 2 6 , [ 0 , 1 ] , respectively.

  2. For any t [ 0 , 1 ] ,

    F ( 1⁄2 ) 2 n j = 1 n h j ( 1 2 ) + A ˜ 4 ( t ) F ( 1⁄2 ) 2 n j = 1 n h j ( 1 2 ) + A 4 ( t ) F ( t ) j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] F ( 1 ) 4 ( t ) = j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] F ( 0 ) 4 ( t ) j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] F ( 1 ) ˜ 4 ( t ) = j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] F ( 0 ) ˜ 4 ( t ) ,

    where

    A 4 ( t ) = max λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n 1 2 j i = 1 j h λ i ( 1 2 ) c λ i ( b λ j a λ j ) 2 24 ( 1 2 t λ j ) 2 , A ˜ 4 ( t ) = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n 1 2 j i = 1 j h λ i ( 1 2 ) c λ i ( b λ j a λ j ) 2 24 ( 1 2 t λ j ) 2 , 4 ( t ) = max λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n c λ j ( b λ j a λ j ) 2 6 t λ j ( 1 t λ j ) i = 0 j 1 [ h λ i ( t λ i ) + h λ i ( 1 t λ i ) ] , ˜ 4 ( t ) = 1 n ! λ i { 1 , 2 , , n } λ i λ j , i j j = 1 n c λ j ( b λ j a λ j ) 2 6 t λ j ( 1 t λ j ) i = 0 j 1 [ h λ i ( t λ i ) + h λ i ( 1 t λ i ) ] ;

    here we denote h λ 0 ( t λ 0 ) + h λ 0 ( 1 t λ 0 ) 1 .

Proof

Similar to the proof of Theorem 2 (i), Theorem 3 (i) is easily obtained by Lemma 2 (i). Now we turn to prove the part of Theorem 3 (ii). The first and fourth inequalities are obvious, and we have to prove only the second and third inequalities.

(i) It follows from (3.4) and Fubini’s theorem that

F ( t ) h 1 ( t 1 ) + h 1 ( 1 t 1 ) ( b 1 a 1 ) j = 2 n ( b i a i ) 2 [ a , b ] a n b n a 2 b 2 f ( x 1 , t 2 x 2 + ( 1 t 2 ) y 2 , , t n x n + ( 1 t n ) y n ) d x d y 2 d y n c 1 ( b 1 a 1 ) 2 6 t 1 ( 1 t 1 ) j = 1 2 [ h j ( t j ) + h j ( 1 t j ) ] ( b 1 a 1 ) ( b 2 a 2 ) j = 3 n ( b i a i ) 2 × [ a , b ] a n b n a 3 b 3 f ( x 1 , x 2 , t 3 x 3 + ( 1 t 3 ) y 3 , , t n x n + ( 1 t n ) y n ) d x d y 3 d y n c 2 ( b 2 a 2 ) 2 6 t 2 ( 1 t 2 ) [ h 1 ( t 1 ) + h 1 ( 1 t 1 ) ] c 1 ( b 1 a 1 ) 2 6 t 1 ( 1 t 1 ) j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] j = 1 n ( b i a i ) [ a , b ] f ( x ) d x j = 1 n c j ( b j a j ) 2 6 t j ( 1 t j ) i = 0 j 1 [ h i ( t i ) + h i ( 1 t i ) ] ,

where h 0 ( t 0 ) + h 0 ( 1 t 0 ) 1 . That is,

F ( t ) j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] [ a , b ] [ a , b ] f ( x ) d x j = 1 n c j ( b j a j ) 2 6 t j ( 1 t j ) i = 0 j 1 [ h i ( t i ) + h i ( 1 t i ) ] .

Changing the integral order and taking similar argument as above, for any class { λ 1 , , λ n } = { 1 , , n } , here λ i λ j if i j , we also have

(3.9) F ( t ) j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] [ a , b ] [ a , b ] f ( x ) d x j = 1 n c λ j ( b λ j a λ j ) 2 6 t λ j ( 1 t λ j ) i = 0 j 1 [ h λ i ( t λ i ) + h λ i ( 1 t λ i ) ] = j = 1 n [ h j ( t j ) + h j ( 1 t j ) ] F ( 1 ) j = 1 n c λ j ( b λ j a λ j ) 2 6 t λ j ( 1 t λ j ) i = 0 j 1 [ h λ i ( t λ i ) + h λ i ( 1 t λ i ) ] ,

here we denote h λ 0 ( t λ 0 ) + h λ 0 ( 1 t λ 0 ) 1 . Noting that F ( 1 ) = F ( 0 ) , we conclude the second inequality of (ii) by (3.9).

(ii) On the other hand, by Lemma 2 and Fubini’s theorem, we derive that

F ( t ) 1 2 h 1 ( 1 2 ) [ a , b ] 2 [ a , b ] [ a , b ] f x 1 + y 1 2 , t 2 x 2 + ( 1 t 2 ) y 2 , , t n x n + ( 1 t n ) y n d x d y + 1 2 h 1 ( 1 2 ) c 1 ( b 1 a 1 ) 2 24 ( 1 2 t 1 ) 2 1 2 2 h 1 ( 1 2 ) h 2 ( 1 2 ) [ a , b ] 2 [ a , b ] [ a , b ] f x 1 + y 1 2 , x 2 + y 2 2 , t 3 x 3 + ( 1 t 3 ) y 3 , , t n x n + ( 1 t n ) y n d x d y + 1 2 2 h 1 ( 1 2 ) h 2 ( 1 2 ) c 2 ( b 2 a 2 ) 2 24 ( 1 2 t 2 ) 2 + 1 2 h 1 ( 1 2 ) c 1 ( b 1 a 1 ) 2 24 ( 1 2 t 1 ) 2 F ( 1⁄2 ) 2 n j = 1 n h j ( 1 2 ) + j = 1 n 1 2 j i = 1 j h i ( 1 2 ) c j ( b j a j ) 2 24 ( 1 2 t j ) 2 .

A similar argument shows that, for any class { λ 1 , , λ n } = { 1 , , n } , λ i λ j if i j ,

(3.10) F ( t ) F ( 1⁄2 ) 2 n j = 1 n h j ( 1 2 ) + j = 1 n 1 2 j i = 1 j h λ i ( 1 2 ) c λ i ( b λ j a λ j ) 2 24 ( 1 2 t λ j ) 2 .

Therefore, the proof of Theorem 3 is completed by (3.10).□

Corollary 4

Let f : [ a , b ] R n R be a coordinated strongly convex function with modulus c. Then:

  1. The partial mappings F j ( ) are strongly convex functions with modulus c ( b j a j ) 2 6 , j = 1 , 2 , , n , respectively.

  2. For any t [ 0 , 1 ] ,

    F ( 1⁄2 ) + c 24 j = 1 n [ ( 1 2 t j ) 2 ( b j a j ) 2 ] F ( t ) F ( 1 ) c 6 j = 1 n [ t j ( 1 t j ) ( b j a j ) 2 ] = F ( 0 ) c 6 j = 1 n [ t j ( 1 t j ) ( b j a j ) 2 ] .

Acknowledgement

The authors would like to express their deep thanks to the referees for many helpful comments and suggestions.

  1. Funding information: The research was supported by the National Natural Science Foundation of China (No. 11771358) and the Teaching Reform Project of Zhejiang Province (No. jg20180252).

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

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

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

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Received: 2024-02-26
Revised: 2024-07-15
Accepted: 2024-07-30
Published Online: 2024-09-16

© 2024 the author(s), published by De Gruyter

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

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  92. Vector optimization problems with weakened convex and weakened affine constraints in linear topological spaces
  93. The curvature entropy inequalities of convex bodies
  94. Brouwer's conjecture for the sum of the k largest Laplacian eigenvalues of some graphs
  95. High-order finite-difference ghost-point methods for elliptic problems in domains with curved boundaries
  96. Riemannian invariants for warped product submanifolds in Q ε m × R and their applications
  97. Generalized quadratic Gauss sums and their 2mth power mean
  98. Euler-α equations in a three-dimensional bounded domain with Dirichlet boundary conditions
  99. Enochs conjecture for cotorsion pairs over recollements of exact categories
  100. Zeros distribution and interlacing property for certain polynomial sequences
  101. Random attractors of Kirchhoff-type reaction–diffusion equations without uniqueness driven by nonlinear colored noise
  102. Study on solutions of the systems of complex product-type PDEs with more general forms in ℂ2
  103. Dynamics in a predator-prey model with predation-driven Allee effect and memory effect
  104. A note on orthogonal decomposition of 𝔰𝔩n over commutative rings
  105. On the δ-chromatic numbers of the Cartesian products of graphs
  106. Binomial convolution sum of divisor functions associated with Dirichlet character modulo 8
  107. Commutator of fractional integral with Lipschitz functions related to Schrödinger operator on local generalized mixed Morrey spaces
  108. System of degenerate parabolic p-Laplacian
  109. Stochastic stability and instability of rumor model
  110. Certain properties and characterizations of a novel family of bivariate 2D-q Hermite polynomials
  111. Stability of an additive-quadratic functional equation in modular spaces
  112. Monotonicity, convexity, and Maclaurin series expansion of Qi's normalized remainder of Maclaurin series expansion with relation to cosine
  113. On k-prime graphs
  114. On the existence of tripartite graphs and n-partite graphs
  115. Classifying pentavalent symmetric graphs of order 12pq
  116. Almost periodic functions on time scales and their properties
  117. Some results on uniqueness and higher order difference equations
  118. Coding of hypersurfaces in Euclidean spaces by a constant vector
  119. Cycle integrals and rational period functions for Γ0+(2) and Γ0+(3)
  120. Degrees of (L, M)-fuzzy bornologies
  121. A matrix approach to determine optimal predictors in a constrained linear mixed model
  122. On ideals of affine semigroups and affine semigroups with maximal embedding dimension
  123. Solutions of linear control systems on Lie groups
  124. A uniqueness result for the fractional Schrödinger-Poisson system with strong singularity
  125. On prime spaces of neutrosophic extended triplet groups
  126. On a generalized Krasnoselskii fixed point theorem
  127. On the relation between one-sided duoness and commutators
  128. Non-homogeneous BVPs for second-order symmetric Hamiltonian systems
  129. Erratum
  130. Erratum to “Infinitesimals via Cauchy sequences: Refining the classical equivalence”
  131. Corrigendum
  132. Corrigendum to “Matrix stretching”
  133. Corrigendum to “A comprehensive review of the recent numerical methods for solving FPDEs”
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