Home On inequalities involving n-polynomial exponential-type convex functions
Article Open Access

On inequalities involving n-polynomial exponential-type convex functions

  • Muhammad Samraiz , Ghada Alobaidi , Muhammad Hammad , Gauhar Rahman EMAIL logo and Yasser Elmasry
Published/Copyright: October 9, 2025
Become an author with De Gruyter Brill

Abstract

This article deals with new generalized and more refined classes of Hermite-Hadamard and Fejér Hermite-Hadamard-type inequalities via n -polynomial exponential-type convex functions. The illustrative graphs confirm the validity of new inequalities. Some applications are provided for generalized means to accommodate different user preferences, device capabilities, and technological advancements. To establish the main results, we primarily use Hölder’s inequality, the power mean inequality, and some other generalized inequalities. These inequalities have strong applicability in the theory of optimization.

MSC 2020: 26A51

1 Introduction

The concept of convexity holds a significant value in mathematical areas. It describes the property of a function wherein the graph of a line segment joining any two points is located above the graph between the two points. While the primary source of convexity lies in geometry, it also possesses numerous useful qualities that render it applicable in a variety of scientific and mathematical domains. Convexity plays a helpful role in optimization problems [1], as well as in exploring other fields of study such as finance [2], machine learning [3,4], data science [5,6], control theory [7], and linear programming [8]. Furthermore, convexity is applied for the development of statistical models and efficient estimates [9,10].

The study of inequalities is essential in mathematics for resolving different types of problems. The necessity for inequalities arises since not all mathematical expressions are in the form of equality. Several kinds of inequalities exist in the literature, which include linear inequalities, quadratic inequalities, and rational inequalities. Some widely used inequalities include the triangle inequality [11,12], the inequality of arithmetic and geometric means [13,14], Jensen’s inequality [15,16], Bell’s inequality [17,18], and the Cauchy-Schwarz inequality [19,20]. Inequalities are extensively utilized in different mathematical branches such as analysis [21,22], number theory [23], and other scientific fields like engineering [24], economics [25], environmental science [26], and operation research [27]. Inequalities are also relevant to the field of convexity, especially in optimization theory. There are important convex inequalities in the literature, like the Jensen inequality, the Hermite-Hadamard inequality [2830], and the Fejér-type inequality [31]. The widely known Hermite-Hadamard inequality, named after Charles Hermite and Jacques Hadamard,is defined as follows:

If f : [ s 1 , s 2 ] R is a convex function, then the Hermite-Hadamard inequality is defined as

f s 1 + s 2 2 1 s 2 s 1 s 1 s 2 f ( s ) d s f ( s 1 ) + f ( s 2 ) 2 .

Due to important properties and usefulness of the Hermite-Hadamard inequality, many novel and generalized forms of Hermite-Hadamard-type inequality are being explored by researchers. Some of its refinements include its generalized forms to n -intervals, weighted Hermite-Hadamard inequality [32]. Furthermore, Fejér-type inequality, which was discovered by Lipót Fejér in 1906, is

f s 1 + s 2 2 s 1 s 2 w ( s ) d s s 1 s 2 f ( s ) w ( s ) d s f ( s 1 ) + f ( s 2 ) 2 s 1 s 2 w ( s ) d s ,

where f is a convex function in the interval ( s 1 , s 2 ) and w is a positive and symmetric function in the same interval. This inequality is a weighted version of the Hermite-Hadamard inequality.

In this article, we investigate a new generalized class of Hermite-Hadamard inequalities via n -polynomial exponential-type convexity. Moreover, we will also derive Fejér-type inequalities for the n -polynomial exponential-type convex function. First, we present some foundational definitions and concepts below.

Definition 1

A function f : I R is called convex if

f ( t s 1 + ( 1 t ) s 2 ) t f ( s 1 ) + ( 1 t ) f ( s 2 ) ,

for all s 1 , s 2 I and for all t [ 0 , 1 ] .

Definition 2

A function f : I R is called exponential-type convex if

f ( t s 1 + ( 1 t ) s 2 ) ( e t 1 ) f ( s 1 ) + ( e 1 t 1 ) f ( s 2 ) ,

where t [ 0 , 1 ] and s 1 , s 2 I .

The n -polynomial convex function is defined as follows.

Definition 3

A function f : I R is called n -polynomial convex if

f ( t s 1 + ( 1 t ) s 2 ) 1 n i = 1 n [ 1 ( 1 t ) i ] f ( s 1 ) + 1 n i = 1 n [ 1 t i ] f ( s 2 ) ,

where s 1 , s 2 I , n N , and t [ 0 , 1 ] .

Now, we present the definition of the n -polynomial exponential-type convex function.

Definition 4

[33] A function f : I R is called n -polynomial exponential-type convex if

f ( t s + ( 1 t ) x ) 1 n i = 1 n ( e t 1 ) i f ( s ) + 1 n i = 1 n ( e 1 t 1 ) i f ( x ) ,

holds for all s , x I , t [ 0 , 1 ] , and n N .

Theorem 1

(Hölder’s integral inequality [34]). Let f and g be the real-valued functions defined on the domain [ s 1 , s 2 ] . If f p and g q are integrable over [ s 1 , s 2 ] , then

s 1 s 2 f ( s ) g ( s ) d s s 1 s 2 f ( s ) p d s 1 p s 1 s 2 g ( s ) q d s 1 q ,

where p > 1 and 1 p + 1 q = 1 .

Theorem 2

(Power-mean integral inequality [34]). Let f and g be the real-valued functions defined on the domain [ s 1 , s 2 ] . If f , f g q are integrable on [ s 1 , s 2 ] , then

s 1 s 2 f ( s ) g ( s ) d s s 1 s 2 f ( s ) d s 1 1 q s 1 s 2 f ( s ) g ( s ) q d s 1 q .

The following Hölder-İscan inequality is the refined form of Hölder’s inequality.

Theorem 3

[35] Let f and g be the real-valued mappings defined on the domain [ s 1 , s 2 ] . If f p and g q are integrable over [ s 1 , s 2 ] , then

s 1 s 2 f ( s ) g ( s ) d s 1 s 2 s 1 s 1 s 2 ( s 2 s ) f ( s ) p d s 1 p s 1 s 2 ( s 2 s ) g ( s ) q d s 1 q + s 1 s 2 ( s s 1 ) f ( s ) q d s 1 p s 1 s 2 ( s s 1 ) g ( s ) q d s 1 q ,

where p > 1 and 1 p + 1 q = 1 .

The following theorem presents an improved form of the power-mean integral inequality.

Theorem 4

[36] Let f and g be the real-valued mappings on the interval [ s 1 , s 2 ] . If f , f g q are integrable on [ s 1 , s 2 ] , then

s 1 s 2 f ( s ) g ( s ) d s 1 s 2 s 1 s 1 s 2 ( s 2 s ) f ( s ) d s 1 1 q s 1 s 2 ( s 2 s ) f ( s ) g ( s ) q d s 1 q + s 1 s 2 ( s s 1 ) f ( s ) d s 1 1 q s 1 s 2 ( s s 1 ) f ( s ) g q d s 1 q ,

where q 1 .

Now, we present the following useful lemma which was proved by İscan.

Lemma 1

[37] Let the function f : I R R be differentiable on interior I 0 of I, and s 1 , s 2 I 0 with s 1 < s 2 , n N , and m { 0 , 1 , , n 1 } . If f L [ s 1 , s 2 ] , then the following equality holds true

I n ( f , s 1 , s 2 ) = m = 0 n 1 1 2 n f ( n m ) s 1 + m s 2 n + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n 1 s 2 s 1 s 1 s 2 f ( s ) d s = m = 0 n 1 s 2 s 1 2 n 2 0 1 ( 1 2 t ) f t ( n m ) s 1 + m s 2 n + ( 1 t ) ( n m 1 ) s 1 + ( m + 1 ) s 2 n d t .

Studying generalized versions of inequalities allows for broader applicability and flexibility in various mathematical and scientific areas. It often leads to the discovery of new results and applications. Keeping in view the importance and extensive use of Hermite-Hadamard and Fejér Hermite-Hadamard in analysis and convexity theory, the present study is to explore generalized and refined Hermite-Hadamard inequalities via n -polynomial exponential-type convexity. Some applications of the explored results are provided in terms of means to enhance the impact and relevance of research, fostering innovation and facilitating its uptake in practical settings.

2 Main results

In this section, we study some new generalized inequalities of Hermite-Hadamard type for n -polynomial exponential-type convex functions by implementing Hölder’s inequality, power mean inequality, and their improved forms. The first result of this section is as follows.

Theorem 5

Let f : I R R be a differentiable function on interior I 0 of I and s 1 , s 2 I 0 with s 1 < s 2 . If f q is an n-polynomial exponential-type convex mapping on [ s 1 , s 2 ] for some p > 1 where n N , then the inequality

(1) I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 1 1 + p 1 p ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 1 q × f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q

holds for 1 p + 1 q = 1 .

Proof

By applying Lemma 1, we obtain

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 0 1 ( 1 2 t ) f t ( n m ) s 1 + m s 2 n + ( 1 t ) ( n m 1 ) s 1 + ( m + 1 ) s 2 n d t .

By using Hölder’s inequality, we obtain

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 0 1 1 2 t p d t 1 p 0 1 f t ( n m ) s 1 + m s 2 n + ( 1 t ) ( n m 1 ) s 1 + ( m + 1 ) s 2 n q d t 1 q .

Since f q is the n -polynomial exponential-type convex function,

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 0 1 1 2 t p d t 1 p 0 1 1 n i = 1 n ( e t 1 ) i f ( n m ) s 1 + m s 2 n q + 1 n i = 1 n ( e 1 t 1 ) i f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q d t 1 q = m = 0 n 1 s 2 s 1 2 n 2 0 1 1 2 t p d t 1 p 1 n i = 1 n 0 1 ( e t 1 ) i f ( n m ) s 1 + m s 2 n q d t + 0 1 ( e 1 t 1 ) i f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q d t 1 q .

Now, using the facts that e t e and e 1 t e for any t [ 0 , 1 ] , so

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 0 1 1 2 t p d t 1 p 1 n i = 1 n 0 1 ( e 1 ) i f ( n m ) s 1 + m s 2 n q d t + 0 1 ( e 1 ) i f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q d t 1 q = m = 0 n 1 s 2 s 1 2 n 2 1 1 + p 1 p 1 n i = 1 n ( e 1 ) i 1 q f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q = m = 0 n 1 s 2 s 1 2 n 2 1 1 + p 1 p ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 1 q × f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q .

Hence, the required result is proved.□

Example 1

Here, we present the graphical representation to show the validity of Theorem 5. For this purpose, we make substitution f ( s ) = e s and f ( s ) = e s to arrive at

(2) m = 0 n 1 1 2 n e ( n m ) s 1 + m s 2 n + e ( n m 1 ) s 1 + ( m + 1 ) s 2 n m = 0 n 1 s 2 s 1 2 n 2 1 1 + p 1 p 1 n i = 1 n ( e 1 ) i 1 q e ( ( n m ) s 1 + m s 2 ) q n + e ( ( n m 1 ) s 1 + ( m + 1 ) s 2 ) q n 1 q 1 s 2 s 1 s 1 s 2 f ( s ) d s m = 0 n 1 1 2 n e ( n m ) s 1 + m s 2 n + e ( n m 1 ) s 1 + ( m + 1 ) s 2 n + m = 0 n 1 s 2 s 1 2 n 2 1 1 + p 1 p 1 n i = 1 n ( e 1 ) i 1 q e ( ( n m ) s 1 + m s 2 ) q n + e ( ( n m 1 ) s 1 + ( m + 1 ) s 2 ) q n 1 q .

By choosing the parameters n = 1 , s 1 = 0 , s 2 = 1 , p = 2 , q = 2 in (2), we achieve

p o ( n ) = e + 1 2 0.8362 1 n i = 1 n ( e 1 ) i 1 2 , p 1 ( n ) = e 1 , p 2 ( n ) = e + 1 2 + 0.8362 1 n i = 1 n ( e 1 ) i 1 2 .

Figure 1 shows the validity of inequality (2) for the above functions with 1.1 n 10 .

Figure 1 
               2D graph exhibiting inequality (2) for 
                     
                        
                        
                           1.1
                           ≤
                           n
                           ≤
                           10
                        
                        1.1\le n\le 10
                     
                  .
Figure 1

2D graph exhibiting inequality (2) for 1.1 n 10 .

In Table 1, a comparative analysis is provided for the functions p 0 ( n ) , p 1 ( n ) , and p 2 ( n ) .

Table 1

Comparison of the results between the double inequality in Example 1

Functions 1.1 2 4 6 8 10
p 0 ( n ) 0.76302 0.58126 0.06271 0.76696 2.10059 4.25326
p 1 ( n ) 1.71828 1.71828 1.71828 1.71828 1.71828 1.71828
p 2 ( n ) 2.95526 3.13702 3.65557 4.48525 5.81887 7.97154

Now, for 3D representation, we choose n = 1 , p = 2 , q = 2 , and n = 1 over the interval [ s 1 , s 2 ] with 0.1 s 1 0.5 , 1.1 s 2 1.5 to write

e s 1 + e s 2 2 0.2887 ( e 1 ) 1 2 ( s 2 s 1 ) e s 1 2 + e s 2 2 1 2

(3) e s 2 e s 1 s 2 s 1 e s 1 + e s 2 2 + 0.2887 ( e 1 ) 1 2 ( s 2 s 1 ) e s 1 2 + e s 2 2 1 2 .

Figure 2 indicates the validity of inequality (2) with the choice of the parameters 0.1 s 1 0.5 , 1.1 s 2 1.5 in a 3D format.

Figure 2 
               3D graph exhibiting inequality (3) for 
                     
                        
                        
                           0.1
                           ≤
                           
                              
                                 s
                              
                              
                                 1
                              
                           
                           ≤
                           0.5
                        
                        0.1\le {s}_{1}\le 0.5
                     
                  , 
                     
                        
                        
                           1.1
                           ≤
                           
                              
                                 s
                              
                              
                                 2
                              
                           
                           ≤
                           1.5
                        
                        1.1\le {s}_{2}\le 1.5
                     
                  .
Figure 2

3D graph exhibiting inequality (3) for 0.1 s 1 0.5 , 1.1 s 2 1.5 .

Corollary 1

If we apply n-polynomial exponential-type convexity of f q in inequality (1) again, then we obtain

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 1 1 q n 2 1 1 + p 1 p ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 2 q [ f ( s 1 ) q + f ( s 2 ) q ] 1 q .

Corollary 2

If we specify n = 1 in Corollary 1, we obtain

f ( s 1 ) + f ( s 2 ) 2 1 s 2 s 1 s 1 s 2 f ( s ) d s s 2 s 1 2 1 1 q 1 1 + p 1 p ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 2 q [ f ( s 1 ) q + f ( s 2 ) q ] 1 q .

Theorem 6

Let the function f : I R R be differentiable on interior I 0 of I and s 1 , s 2 I 0 with s 1 < s 2 . If f q is n-polynomial exponential-type convex on the closed interval [ s 1 , s 2 ] for some q 1 , then the following inequality

(4) I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 4 n 2 ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 1 q × f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q .

is true.

Proof

By utilizing Lemma 1 and then power mean inequality, we obtain

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 0 1 ( 1 2 t ) f t ( n m ) s 1 + m s 2 n + ( 1 t ) ( n m 1 ) s 1 + ( m + 1 ) s 2 n d t m = 0 n 1 s 2 s 1 2 n 2 0 1 1 2 t d t 1 1 q × 0 1 1 2 t f t ( n m ) s 1 + m s 2 n + ( 1 t ) ( n m 1 ) s 1 + ( m + 1 ) s 2 n q d t 1 q .

Since f q is n -polynomial exponential-type convex on [ s 1 , s 2 ] , so

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 0 1 1 2 t d t 1 1 q 0 1 1 2 t 1 n i = 1 n ( e t 1 ) i f ( n m ) s 1 + m s 2 n q + ( e 1 t 1 ) i f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q d t 1 q .

Now, using the facts that e t e and e 1 t e for any t [ 0 , 1 ] , so

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 0 1 1 2 t d t 1 1 q 0 1 1 2 t 1 n i = 1 n ( e 1 ) i f ( n m ) s 1 + m s 2 n q + ( e 1 ) i f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q d t 1 q = m = 0 n 1 s 2 s 1 2 2 1 q n 2 1 n i = 1 n ( e 1 ) i 1 q f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q 0 1 1 2 t d t 1 q = m = 0 n 1 s 2 s 1 4 n 2 ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 1 q × f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q .

This proves the desired result.□

Example 2

Here, we present the graphical representation to show the validity of Theorem 6. For this purpose, we make substitution f ( s ) = e s and f ( s ) = e s to arrive at

(5) m = 0 n 1 1 2 n e ( n m ) s 1 + m s 2 n + e ( n m 1 ) s 1 + ( m + 1 ) s 2 n m = 0 n 1 s 2 s 1 4 n 2 1 n i = 1 n ( e 1 ) i 1 q e ( ( n m ) s 1 + m s 2 ) q n + e ( ( n m 1 ) s 1 + ( m + 1 ) s 2 ) q n 1 q 1 s 2 s 1 s 1 s 2 f ( s ) d s m = 0 n 1 1 2 n e ( n m ) s 1 + m s 2 n + e ( n m 1 ) s 1 + ( m + 1 ) s 2 n + m = 0 n 1 s 2 s 1 4 n 2 1 n i = 1 n ( e 1 ) i 1 q e ( ( n m ) s 1 + m s 2 ) q n + e ( ( n m 1 ) s 1 + ( m + 1 ) s 2 ) q n 1 q .

Now, choosing the parameters n = 1 , s 1 = 0 , s 2 = 1 , p = 2 , q = 2 in (5), we achieve

p o ( n ) = e + 1 2 0.7241 1 n i = 1 n ( e 1 ) i 1 2 , p 1 ( n ) = e 1 , p 2 ( n ) = e + 1 2 + 0.7241 1 n i = 1 n ( e 1 ) i 1 2 .

Figure 3 shows the validity of inequality (5) for the above functions with 1.1 n 10 .

Figure 3 
               2D graph exhibiting inequality (5) for 
                     
                        
                        
                           1.1
                           ≤
                           n
                           ≤
                           10
                        
                        1.1\le n\le 10
                     
                  .
Figure 3

2D graph exhibiting inequality (5) for 1.1 n 10 .

In Table 2, a comparative analysis is provided for the functions p 0 ( n ) , p 1 ( n ) , and p 2 ( n ) .

Table 2

Comparison of the results between the double inequality in Example 2

Functions 1.1 2 4 6 8 10
p 0 ( n ) 0.90997 0.75257 0.30354 0.41491 1.56976 3.43384
p 1 ( n ) 1.71828 1.71828 1.71828 1.71828 1.71828 1.71828
p 2 ( n ) 2.80831 2.96571 3.41474 4.13319 5.28804 7.15212

Now, for 3D representation, we chose n = 1 , p = 2 , q = 2 , and n = 1 over the interval [ s 1 , s 2 ] with 0.1 s 1 0.5 , 1.1 s 2 1.5 to achieve

(6) e s 1 + e s 2 2 ( e 1 ) 1 2 ( s 2 s 1 ) 4 e s 1 2 + e s 2 2 1 2 e s 2 e s 1 s 2 s 1 e s 1 + e s 2 2 + ( e 1 ) 1 2 ( s 2 s 1 ) 4 e s 1 2 + e s 2 2 1 2 .

Figure 4 indicates the validity of inequality (6) with the choice of the parameters 0.1 s 1 0.5 , 1.1 s 2 1.5 in a 3D format.

Figure 4 
               3D graph exhibiting inequality (6) for 
                     
                        
                        
                           0.1
                           ≤
                           
                              
                                 s
                              
                              
                                 1
                              
                           
                           ≤
                           0.5
                        
                        0.1\le {s}_{1}\le 0.5
                     
                  , 
                     
                        
                        
                           1.1
                           ≤
                           
                              
                                 s
                              
                              
                                 2
                              
                           
                           ≤
                           1.5
                        
                        1.1\le {s}_{2}\le 1.5
                     
                  .
Figure 4

3D graph exhibiting inequality (6) for 0.1 s 1 0.5 , 1.1 s 2 1.5 .

Corollary 3

If n-polynomial exponential-type convexity of f q is applied in Theorem 2.5 again, we obtain

I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 2 1 q n 2 ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 2 q [ f ( s 1 ) q + f ( s 2 ) q ] 1 q .

Corollary 4

If we specify n = 1 in Corollary 3, we arrive at

f ( s 1 ) + f ( s 2 ) 2 1 s 2 s 1 s 1 s 2 f ( s ) d s s 2 s 1 2 2 1 q ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 2 q [ f ( s 1 ) q + f ( s 2 ) q ] 1 q .

Theorem 7

Let the mapping f : I R R be differentiable on interior I 0 of I and s 1 , s 2 I 0 with s 1 < s 2 . If f q is the n-polynomial exponential-type convex function on [ s 1 , s 2 ] , then the following inequality Let the mapping f : I R R be differentiable on interior I 0 of I and s 1 , s 2 I 0 with s 1 < s 2 . If f q is the n-polynomial exponential-type convex function on [ s 1 , s 2 ] , then the following inequality

(7) I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 2 n 2 ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 1 q 1 ( p + 1 ) 1 p × f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q

is satisfied, where 1 p + 1 q = 1 .

Proof

If we apply the Hölder-İscan inequality upon Lemma 1 and then use the same steps as in Theorem 5, we arrive at inequality (7) which is the same as inequality (1).□

Theorem 8

Let the mapping f : I R R be differentiable on I 0 , s 1 , s 2 I 0 with s 1 < s 2 . If f q is n-polynomial exponential-type convex mapping on [ s 1 , s 2 ] , then the following inequality

(8) I n ( f , s 1 , s 2 ) m = 0 n 1 s 2 s 1 4 n 2 ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 1 q × f ( n m ) s 1 + m s 2 n q + f ( n m 1 ) s 1 + ( m + 1 ) s 2 n q 1 q

is true for q 1 .

Proof

If we apply the improved power-mean inequality upon Lemma 1 and then use the same steps as in Theorem 6, we arrive at inequality (8) which is the same as inequality (4).□

In the next theorem, we explore a new result for the Fejér-Hermite-Hadamard-type inequality.

Theorem 9

If n N and w is a non-negative, symmetric, and integrable function, then n-polynomial exponential-type convex function f : I = [ s 1 , s 2 ] R R satisfies the following inequality:

(9) ( 2 e ) n ( e 1 ) ( 1 ( e 1 ) n ) f s 1 + s 2 2 s 1 s 2 w ( s ) d s f ( x ) s 1 s 2 w ( s ) d s s 1 s 2 f ( s ) w ( s ) d s 1 n i = 1 n f ( s 1 ) s 1 s 2 ( e s 2 s s 2 s 1 1 ) i w ( s ) d s + f ( s 2 ) s 1 s 2 ( e s s 1 s 2 s 1 1 ) i w ( s ) d s ,

where s , x I .

Proof

Substituting t = 1 2 into Definition 4, we obtain

f s + x 2 1 n i = 1 n ( e 1 2 1 ) i f ( s ) + 1 n i = 1 n ( e 1 2 1 ) i f ( x ) = 1 n i = 1 n ( e 1 2 1 ) i ( f ( s ) + f ( x ) ) .

Now, substituting s = t s 1 + ( 1 t ) s 2 , x = t s 2 + ( 1 t ) s 1 , we have

f s 1 + s 2 2 1 n i = 1 n ( e 1 ) i [ f ( t s 1 + ( 1 t ) s 2 ) + f ( t s 2 + ( 1 t ) s 1 ) ] .

Since w is non-negative, symmetric, and integrable function, we have

(10) f s 1 + s 2 2 w ( t s 1 + ( 1 t ) s 2 ) ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n [ f ( t s 1 + ( 1 t ) s 2 ) w ( t s 1 + ( 1 t ) s 2 ) + f ( t s 2 + ( 1 t ) s 1 ) w ( t s 1 + ( 1 t ) s 2 ) ] .

Integrating inequality (10) with respect to t over [ 0 , 1 ] , we obtain

0 1 f s 1 + s 2 2 w ( t s 1 + ( 1 t ) s 2 ) d t ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n 0 1 f ( t s 1 + ( 1 t ) s 2 ) w ( t s 1 + ( 1 t ) s 2 ) d t + 0 1 f ( t s 2 + ( 1 t ) s 1 ) w ( t s 1 + ( 1 t ) s 2 ) d t .

Now, we again substitute s = t s 1 + ( 1 t ) s 2 , x = t s 2 + ( 1 t ) s 1 to achieve

f s 1 + s 2 2 s 2 s 1 w ( s ) s 1 s 2 d s ( e 1 ) ( 1 ( e 1 ) n ) ( 2 e ) n s 2 s 1 f ( s ) w ( s ) s 1 s 2 d s + s 2 s 1 f ( x ) w ( s ) s 1 s 2 d s

This can also be written as

(11) ( 2 e ) n ( e 1 ) ( 1 ( e 1 ) n ) f s 1 + s 2 2 s 1 s 2 w ( s ) d s f ( x ) s 1 s 2 w ( s ) d s s 1 s 2 f ( s ) w ( s ) d s .

which is the left side of inequality (9). Now, for the right side of inequality (9), we set s = s 1 , x = s 2 in Definition 4 to obtain

f ( t s 1 + ( 1 t ) s 2 ) 1 n i = 1 n ( e t 1 ) i f ( s 1 ) + 1 n i = 1 n ( e 1 t 1 ) i f ( s 2 ) .

Since w is symmetric and integrable function, we have

(12) f ( t s 1 + ( 1 t ) s 2 ) w ( t s 1 + ( 1 t ) s 2 ) 1 n i = 1 n ( e t 1 ) i f ( s 1 ) w ( t s 1 + ( 1 t ) s 2 ) + 1 n i = 1 n ( e 1 t 1 ) i f ( s 2 ) w ( t s 1 + ( 1 t ) s 2 ) .

Integrating inequality (12) with respect to t over [0, 1], we arrive at

0 1 f ( t s 1 + ( 1 t ) s 2 ) w ( t s 1 + ( 1 t ) s 2 ) d t 0 1 1 n i = 1 n ( e t 1 ) i f ( s 1 ) w ( t s 1 + ( 1 t ) s 2 ) d t + 0 1 1 n i = 1 n ( e 1 t 1 ) i f ( s 2 ) w ( t s 1 + ( 1 t ) s 2 ) d t .

By substituting s = t s 1 + ( 1 t ) s 2 , we acquire

s 2 s 1 f ( s ) w ( s ) s 1 s 2 d s 1 n ( s 1 s 2 ) i = 1 n f ( s 1 ) s 2 s 1 ( e s 2 s s 2 s 1 1 ) i w ( s ) d s + f ( s 2 ) s 2 s 1 ( e s s 1 s 2 s 1 1 ) i w ( s ) d s

This can also be written as

(13) s 1 s 2 f ( s ) w ( s ) d s 1 n i = 1 n f ( s 1 ) s 1 s 2 ( e s 2 s s 2 s 1 1 ) i w ( s ) d s + f ( s 2 ) s 1 s 2 ( e s s 1 s 2 s 1 1 ) i w ( s ) d s ,

which is the right side of inequality (9).

Ultimately, we combine inequalities (11) and (13) to achieve

( 2 e ) n ( e 1 ) ( 1 ( e 1 ) n ) f s 1 + s 2 2 s 1 s 2 w ( s ) d s f ( s 2 ) s 1 s 2 w ( s ) d s s 1 s 2 f ( s ) w ( s ) d s 1 n i = 1 n f ( s 1 ) s 1 s 2 ( e s 2 s s 2 s 1 1 ) i w ( s ) d s + f ( s 2 ) s 1 s 2 ( e s s 1 s 2 s 1 1 ) i w ( s ) d s .

Thus, the proof is completed.□

3 Applications to generalized average values

Mean is the average value that is used to sum up the statistical data. These are extensively utilized in mathematics, statistics, economics, and other numerical fields. In this section, to gain the relations for the following means, we apply the novel inequalities of Section 2.

Arithmetic mean:

Let s 1 , s 2 R ,

A = A ( s 1 , s 2 ) = s 1 + s 2 2 , s 1 , s 2 0 .

r-Logarithmic mean:

Let s 1 , s 2 R ,

L r ( s 1 , s 2 ) = s 1 if  s 1 = s 2 ; s 2 r + 1 s 1 r + 1 ( r + 1 ) ( s 2 s 1 ) 1 r if  s 1 s 2 , r R \ { 1,0 } , s 1 , s 2 > 0 .

Proposition 1

Let s 1 , s 2 R , 0 < s 1 < s 2 , h N , where h 2 . Then, for all q > 1 , the inequality

m = 0 n 1 1 n A ( n m ) s 1 + m s 2 n h , ( n m 1 ) s 1 + ( m + 1 ) s 2 n h ( L h ( s 1 , s 2 ) ) h m = 0 n 1 h ( s 2 s 1 ) 2 1 1 q n 2 1 1 + p 1 p ( e 1 ) ( 1 ( e 1 ) h ) ( 2 e ) h 2 q [ s 1 ( h 1 ) q + s 2 ( h 1 ) q ] 1 q

holds.

Proof

In Corollary 1, if we substitute f ( s ) = s h where s [ s 1 , s 2 ] , h N , and h 2 , the result is obtained.□

Proposition 2

Let s 1 , s 2 R , 0 < s 1 < s 2 , h N , where h 2 . Then, for all q > 1 , the inequality

m = 0 n 1 1 n A ( n m ) s 1 + m s 2 n h , ( n m 1 ) s 1 + ( m + 1 ) s 2 n h ( L h ( s 1 , s 2 ) ) h m = 0 n 1 s 2 s 1 2 2 1 q n 2 ( e 1 ) ( 1 ( e 1 ) h ) ( 2 e ) h 2 q [ s 1 ( h 1 ) q + s 2 ( h 1 ) q ] 1 q

holds.

Proof

In Corollary 3, if we substitute f ( s ) = s h where s [ s 1 , s 2 ] , h N , and h 2 , the result is obtained.□

4 Conclusions

In this article, we have built generalized inequalities of the Hermite-Hadamard type with regard to n -polynomials exponential-type convex functions. In this regard, we employed Hölder’s inequality and power-mean inequality. These inequalities are extremely useful in investigating generalized inequalities as well as in other fields of study such as statistics and engineering. To validate the results, examples are also rendered. Graphical representation is also brought forth for further explication. Special cases of these inequalities are also derived. Moreover, we attained a generalized form of Fejér-type inequality utilizing n -polynomials exponential-type convex functions. Finally, we demonstrated the relation of these new results to some special means. Furthermore, these inequalities can prove worthwhile in dealing with other mathematical problems. Moreover, we hope that these new results will prove fruitful to further refinements using different convex functions.


,

Acknowledgments

The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/43/46.

  1. Funding information: The authors state no funding involved.

  2. Author contributions: The authors contributed equally and significantly in writing this article. All authors read and approved the final manuscript.

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

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

References

[1] M. D. Fajardo, M. A. Goberna, M. M. L. Rodrıguez, and J. Vicente-Pérez, Convexity and Optimization, vol. 2020, Springer, Cham, 2020. 10.1007/978-3-030-53456-1Search in Google Scholar

[2] R. Rebonato and V. Putyatin, The value of convexity: A theoretical and empirical investigation, Quant. Finance 18 (2018), no. 1, 11–30. 10.1080/14697688.2017.1341639Search in Google Scholar

[3] S. Bubeck, Convex Optimization: Algorithms and Complexity, 2015, arXiv: http://arXiv.org/abs/arXiv:1405.4980. 10.1561/9781601988614Search in Google Scholar

[4] T. D. Sears, Generalized Maximum Entropy, Convexity and Machine Learning, The Australian National University, Canberra, Australia, 2008. Search in Google Scholar

[5] S. Roy, Algorithms for Convex Optimization with Applications to Data Science, University of Washington, Seattle, Washington, 2017. Search in Google Scholar

[6] E. C. Chi and S. Steinerberger, Recovering trees with convex clustering, SIAM J. Math. Data Sci. 1 (2019), no. 3, 383–407. 10.1137/18M121099XSearch in Google Scholar

[7] L. Cesari and M. B. Suryanarayana, Convexity and property (Q) in optimal control theory, SIAM J. Control Optim. 12 (1974), no. 4, 705–720. 10.1137/0312055Search in Google Scholar

[8] R. J. Duffin, Convex analysis treated by linear programming, Math. Program. 4 (1973), 125–143. 10.1007/BF01584656Search in Google Scholar

[9] H-H. Bock, Convexity-based clustering criteria: theory, algorithms and applications in statistics, Stat. Methods Appl. 12 (2003), 293–317. 10.1007/s10260-003-0069-8Search in Google Scholar

[10] M. Nouiehed, J-S. Pang, and M. Razaviyayn, On the pervasiveness of difference-convexity in optimization and statistics, Math. Program. 174 (2019), 195–222. 10.1007/s10107-018-1286-0Search in Google Scholar

[11] L. Maligranda, Some remarks on the triangle inequality for norms, Banach J. Math. Anal. 2 (2008), no. 2, 31–41. 10.15352/bjma/1240336290Search in Google Scholar

[12] A. H. Lipkus, A proof of the triangle inequality for the Tanimoto distance, J. Math. Chem. 26 (1999), 263–265. 10.1023/A:1019154432472Search in Google Scholar

[13] R. Bhatia and C. Davis, More matrix forms of the arithmetic-geometric mean inequality, SIAM J. Matrix. Anal. Appl. 14 (1993), no. 1, 132–136. 10.1137/0614012Search in Google Scholar

[14] A. Israel, F. Krahmer, and R. Ward, An arithmetic-geometric mean inequality for products of three matrices, Linear Algebra Appl. 488 (2016), 1–12. 10.1016/j.laa.2015.09.013Search in Google Scholar

[15] J-H. Kim, Further improvement of Jensen inequality and application to stability of time-delayed systems, Automatica. 64 (2016), 121–125. 10.1016/j.automatica.2015.08.025Search in Google Scholar

[16] E. J. McShane, Jensen’s inequality, Bull. Amer. Math. Soc. 43 (1937), no. 8, 521–527. 10.1090/S0002-9904-1937-06588-8Search in Google Scholar

[17] A. Aspect, Bellas inequality test: More ideal than ever, Nature 398 (1999), 189–190. 10.1038/18296Search in Google Scholar

[18] L. Maccone, A simple proof of Bell’s inequality, Amer. J. Phys. 81 (2013), no. 11, 854–859. 10.1119/1.4823600Search in Google Scholar

[19] R. Bhatia and C. Davis, A Cauchy-Schwarz inequality for operators with applications, Linear Algebra Appl. 223 (1995), 119–129. 10.1016/0024-3795(94)00344-DSearch in Google Scholar

[20] H. Alzer, On the Cauchy-Schwarz inequality, J. Math. Anal. Appl. 234 (1999), no. 1, 6–14. 10.1006/jmaa.1998.6252Search in Google Scholar

[21] O. Pons, Inequalities in Analysis and Probability, World Scientific, New Jersey, 2013. 10.1142/8529Search in Google Scholar

[22] W. Beckner, Geometric inequalities in Fourier analysis. In: C. Fefferman, R. Fefferman, and S. Wainger, Essays on Fourier Analysis in Honor of Elias M. Stein, Princeton University Press, Princeton, New Jersey, 2014, pp. 36–68. 10.1515/9781400852949.36Search in Google Scholar

[23] A. Baker and H. M. Stark, On a fundamental inequality in number theory, Ann. Math. 94 (1971), no. 1, 190–199. 10.2307/1970742Search in Google Scholar

[24] M. Todinov, Reverse engineering of algebraic inequalities for system reliability predictions and enhancing processes in engineering, IEEE Trans. Reliab. 72 (2024), 902–911. 10.1109/TR.2023.3315662Search in Google Scholar

[25] A. Jofré, R. T. Rockafellar, and R. J-B. Wets, Variational inequalities and economic equilibrium, Math. Oper. Res. 32 (2007), no. 1, 32–50. 10.1287/moor.1060.0233Search in Google Scholar

[26] G-W. Weber, S. Z. A. Gök, and B. Söyler, A new mathematical approach in environmental and life sciences: Gene-environment networks and their dynamics, Environ. Model. Assess. 14 (2009), no. 2, 267–288. 10.1007/s10666-007-9137-zSearch in Google Scholar

[27] O. Karsu and A. Morton, Inequity averse optimization in operational research, Eur. J. Oper. Res. 245 (2015), no. 2, 343–359. 10.1016/j.ejor.2015.02.035Search in Google Scholar

[28] S. S. Dragomir and C. E. M. Pearce, Selected topics on Hermite-Hadamard inequalities and applications, Science Direct Working Paper, 2003. Search in Google Scholar

[29] A. E. Farissi, Simple proof and refinement of Hermite-Hadamard inequality, J. Math. Inequal. 4 (2010), no. 3, 365–369. 10.7153/jmi-04-33Search in Google Scholar

[30] G. Zabandan, A. Bodaghi, and A. Kılıçman, The Hermite-Hadamard inequality for r-convex functions, J. Inequal. Appl. 2012 (2012), 1–8. 10.1186/1029-242X-2012-215Search in Google Scholar

[31] A. Chandola, R. Agarwal, and R. M. Pandey, Some new Hermite-Hadamard, Hermite-Hadamard Fejer and weighted hardy type inequalities involving (k−p) Riemann-Liouville fractional integral operator, Appl. Math. Inf. Sci. 16 (2022), no 2. 287–297. 10.18576/amis/160216Search in Google Scholar

[32] S-R. Hwang, K-L. Tseng, and K-C. Hsu, Hermite-Hadamard type and Fejér type inequalities for general weights (I), J. Inequal. Appl. 2013 (2013), 1–13. 10.1186/1029-242X-2013-170Search in Google Scholar

[33] M. Samraiz, K. Saeed, S. Naheed, G. Rahman, and K. Nonlaopon, On inequalities of Hermite-Hadamard type via n-polynomial exponential type s-convex functions, AIMS Math. 7 (2022), no. 8, 14282–14298. 10.3934/math.2022787Search in Google Scholar

[34] H. Kadakal, On refinements of some integral inequalities using improved power-mean integral inequalities, Numer. Methods Partial Differential Equations 36 (2020), 1555–1565. 10.1002/num.22491Search in Google Scholar

[35] I. Iscan, New refinements for integral and sum forms of Hölder inequality, J. Inequal. Appl. 2019 (2019), 1–11. 10.1186/s13660-019-2258-5Search in Google Scholar

[36] M. Kadakal, I. Iscan, H. Kadakal, and K. Bekar, On improvements of some integral inequalities, Honam Math. J. 43 (2021), no. 3, 441–452. 10.17776/csj.1110051Search in Google Scholar

[37] I. Iscan, T. Toplu, and F. Yetgin, Some new inequalities on generalization of Hermite-Hadamard and Bullen type inequalities, applications to trapezoidal and midpoint formula, Kragujevac J. Math. 45 (2021), no. 4, 647–657. 10.46793/KgJMat2104.647ISearch in Google Scholar

Received: 2024-06-24
Revised: 2025-03-11
Accepted: 2025-08-20
Published Online: 2025-10-09

© 2025 the author(s), published by De Gruyter

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

Articles in the same Issue

  1. Research Articles
  2. On approximation by Stancu variant of Bernstein-Durrmeyer-type operators in movable compact disks
  3. Circular n,m-rung orthopair fuzzy sets and their applications in multicriteria decision-making
  4. Grand Triebel-Lizorkin-Morrey spaces
  5. Coefficient estimates and Fekete-Szegö problem for some classes of univalent functions generalized to a complex order
  6. Proofs of two conjectures involving sums of normalized Narayana numbers
  7. On the Laguerre polynomial approximation errors and lower type of entire functions of irregular growth
  8. New convolutions for the Hartley integral transform imbedded in the Banach algebras and convolution-type integral equations
  9. Some inequalities for rational function with prescribed poles and restricted zeros
  10. Lucas difference sequence spaces defined by Orlicz function in 2-normed spaces
  11. Evaluating the efficacy of fuzzy Bayesian networks for financial risk assessment
  12. Fixed point results for contractions of polynomial type
  13. Estimation for spatial semi-functional partial linear regression model with missing response at random
  14. Investigating the controllability of differential systems with nonlinear fractional delays, characterized by the order 0 < η ≤ 1 < ζ ≤ 2
  15. New forms of bilateral inequalities for K-g-frames
  16. Rate of pole detection using Padé approximants to polynomial expansions
  17. Existence results for nonhomogeneous Choquard equation involving p-biharmonic operator and critical growth
  18. Note on the shape-preservation of a new class of Kantorovich-type operators via divided differences
  19. Geršhgorin-type theorems for Z1-eigenvalues of tensors with applications
  20. New topologies derived from the old one via operators
  21. Blow up solutions for two-dimensional semilinear elliptic problem of Liouville type with nonlinear gradient terms
  22. Infinitely many normalized solutions for Schrödinger equations with local sublinear nonlinearity
  23. Nonparametric expectile shortfall regression for functional data
  24. Advancing analytical solutions: Novel wave insights and methodologies for beta fractional Kuralay-II equations
  25. A generalized p-Laplacian problem with parameters
  26. A study of solutions for several classes of systems of complex nonlinear partial differential difference equations in ℂ2
  27. Towards finding equalities involving mixed products of the Moore-Penrose and group inverses by matrix rank methodology
  28. ω -biprojective and ω ¯ -contractible Banach algebras
  29. Coefficient functionals for Sakaguchi-type-Starlike functions subordinated to the three-leaf function
  30. Solutions of several general quadratic partial differential-difference equations in ℂ2
  31. Inequalities for the generalized trigonometric functions with respect to weighted power mean
  32. Optimization of Lagrange problem with higher-order differential inclusion and special boundary-value conditions
  33. Hankel determinants for q-starlike functions connected with q-sine function
  34. System of partial differential hemivariational inequalities involving nonlocal boundary conditions
  35. A new family of multivalent functions defined by certain forms of the quantum integral operator
  36. A matrix approach to compare BLUEs under a linear regression model and its two competing restricted models with applications
  37. Weighted composition operators on bicomplex Lorentz spaces with their characterization and properties
  38. Behavior of spatial curves under different transformations in Euclidean 4-space
  39. Commutators for the maximal and sharp functions with weighted Lipschitz functions on weighted Morrey spaces
  40. A new kind of Durrmeyer-Stancu-type operators
  41. A study of generalized Mittag-Leffler-type function of arbitrary order
  42. On the approximation of Kantorovich-type Szàsz-Charlier operators
  43. Split quaternion Fourier transforms for two-dimensional real invariant field
  44. Quantum injectivity of G-frames in Hilbert spaces
  45. Some results on disjointly weakly compact sets
  46. On Motzkin sequence spaces via q-analog and compact operators
  47. Existence and multiplicity of nontrivial solutions for Schrödinger-Bopp-Podolsky systems with critical nonlinearity in ℝ3
  48. Stability analysis of linear time-invariant difference-differential system with constant and distributed delays
  49. The discriminant of quasi m-boundary singularities
  50. Norm constrained empirical portfolio optimization with stochastic dominance: Robust optimization non-asymptotics
  51. Fuzzy stability of multi-additive mappings
  52. On inequalities involving n-polynomial exponential-type convex functions
  53. Review Article
  54. Characterization generalized derivations of tensor products of nonassociative algebras
  55. Special Issue on Differential Equations and Numerical Analysis - Part II
  56. Existence and optimal control of Hilfer fractional evolution equations
  57. Persistence of a unique periodic wave train in convecting shallow water fluid
  58. Existence results for critical growth Kohn-Laplace equations with jumping nonlinearities
  59. Monotonicity and oscillation for fractional differential equations with Riemann-Liouville derivatives
  60. Nontrivial solutions for a generalized poly-Laplacian system on finite graphs
  61. Stability and bifurcation analysis of a modified chemostat model
  62. Special Issue on Nonlinear Evolution Equations and Their Applications - Part II
  63. Analytic solutions of a generalized complex multi-dimensional system with fractional order
  64. Extraction of soliton solutions and Painlevé test for fractional Peyrard-Bishop DNA model
  65. Special Issue on Recent Developments in Fixed-Point Theory and Applications - Part II
  66. Some fixed point results with the vector degree of nondensifiability in generalized Banach spaces and application on coupled Caputo fractional delay differential equations
  67. On the sum form functional equation related to diversity index
  68. Special Issue on International E-Conference on Mathematical and Statistical Sciences - Part II
  69. Simpson, midpoint, and trapezoid-type inequalities for multiplicatively s-convex functions
  70. Converses of nabla Pachpatte-type dynamic inequalities on arbitrary time scales
  71. Special Issue on Blow-up Phenomena in Nonlinear Equations of Mathematical Physics - Part II
  72. Energy decay of a coupled system involving a biharmonic Schrödinger equation with an internal fractional damping
  73. Special Issue on Some Integral Inequalities, Integral Equations, and Applications - Part II
  74. Nonlinear heat equation with viscoelastic term: Global existence and blowup in finite time
  75. New Jensen's bounds for HA-convex mappings with applications to Shannon entropy
  76. Special Issue on Approximation Theory and Special Functions 2024 conference
  77. Ulam-type stability for Caputo-type fractional delay differential equations
  78. Faster approximation to multivariate functions by combined Bernstein-Taylor operators
  79. (λ, ψ)-Bernstein-Kantorovich operators
  80. Some special functions and cylindrical diffusion equation on α-time scale
  81. (q, p)-Mixing Bloch maps
  82. Orthogonalizing q-Bernoulli polynomials
  83. On better approximation order for the max-product Meyer-König and Zeller operator
  84. Moment-based approximation for a renewal reward process with generalized gamma-distributed interference of chance
  85. A note on linear compositions of the Mellin convolution operators in the weighted Mellin-Lebesgue spaces
  86. A new perspective on generalized Laguerre polynomials
  87. Global existence of semilinear system of Klein-Gordon equations in anti-de Sitter spacetime
  88. Estimates for Durrmeyer-type exponential sampling series in Mellin-Orlicz spaces
  89. -αβ-statistical relative uniform convergence for double sequences and its applications
  90. New developments for the Jacobi polynomials
  91. Generalization of Sheffer-λ polynomials
  92. Special Issue on Variational Methods and Nonlinear PDEs
  93. A note on mean field type equations
  94. Ground states for fractional Kirchhoff double-phase problem with logarithmic nonlinearity
  95. Solution of nonlinear Langevin equations involving Hilfer-Hadamard fractional order derivatives and variable coefficients
  96. Bifurcation, quasi-periodic, and wave solutions to the fractional model of optical fibers in communication systems
  97. Multiplicity and concentration behavior of solutions for the generalized quasilinear Schrödinger equation with critical growth
Downloaded on 18.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/dema-2025-0176/html
Scroll to top button