Next Article in Journal
Exact Solutions for the KMM System in (2+1)-Dimensions and Its Fractional Form with Beta-Derivative
Previous Article in Journal
Spiral Dive Control of Underactuated AUV Based on a Single-Input Fractional-Order Fuzzy Logic Controller
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Some H-Godunova–Levin Function Inequalities Using Center Radius (Cr) Order Relation

1
Department of Mathemtics, Government College University Lahore (GCUL), Lahore 54000, Pakistan
2
Departamento de Matemáticas y Física, Universidad Autónoma de Aguascalientes, Avenida Universidad 940, Ciudad Universitaria, Aguascalientes 20131, Mexico
3
Department of Mathematics, School of Digital Technologies, Tallinn University, Narva Rd. 25, 10120 Tallinn, Estonia
4
Department of Applied Mathematics, University Politehnica of Bucharest, 060042 Bucharest, Romania
5
Academy of Romanian Scientists, 54 Splaiul Independentei, 050094 Bucharest, Romania
6
Fundamental Sciences Applied in Engineering-Research Center (SFAI), University Politehnica of Bucharest, 060042 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Fractal Fract. 2022, 6(9), 518; https://doi.org/10.3390/fractalfract6090518
Submission received: 30 August 2022 / Revised: 11 September 2022 / Accepted: 12 September 2022 / Published: 14 September 2022
(This article belongs to the Topic Advances in Optimization and Nonlinear Analysis Volume II)
(This article belongs to the Section Engineering)

Abstract

:
Interval analysis distinguishes between different types of order relations. As a result of these order relations, convexity and nonconvexity contribute to different kinds of inequalities. Despite this, convex theory is commonly known to rely on Godunova–Levin functions because their properties make it more efficient for determining inequality terms than convex ones. The purpose of this study is to introduce the notion of cr-h-Godunova–Levin functions by using total order relation between two intervals. Considering their properties and widespread use, center-radius order relation appears to be ideally suited for the study of inequalities. In this paper, various types of inequalities are introduced using center-radius order (cr) relation. The cr-order relation enables us firstly to derive some Hermite–Hadamard ( H . H ) inequalities, and then to present Jensen-type inequality for h-Godunova–Levin interval-valued functions (GL- IVFS ) using a Riemann integral operator. This kind of convexity unifies several new and well-known convex functions. Additionally, the study includes useful examples to support its findings. These results confirm that this new concept is useful for addressing a wide range of inequalities. We hope that our results will encourage future research into fractional versions of these inequalities and optimization problems associated with them.

1. Introduction

The results of uncertainty problems in real life may be invalid if a specific number is used for describing the results. This is why avoiding such errors and getting effective results is so important. Interval analysis was first applied to automatic error analysis by Moore [1] in 1969 for resulting in an improvement of calculation results and attracting the attention of many researchers. In interval analysis, interval numbers are used as variables, and interval operations are used instead of numbers. The interval is widely used in uncertain problems because it can be expressed as an uncertain variable, such as in computer graphics [2], decision-making analysis [3], multi-objective optimization [4], and error analysis [5]. Thus, interval analysis research has produced numerous excellent results, and interested readers can consult Refs. [6,7,8].
Mathematicians and other scientists have long acknowledged the significance of convexity in fields like economics, probability theory, optimal control theory. In addition, several inequalities have been documented in the literature as well, see Refs. [9,10,11,12]. Convexity and inequality have played a crucial role in many disciplines and applications in recent decades, which has led to extensive research and application in the field of generalized convexity of interval-valued functions, see Refs. [13,14,15,16,17,18]. Here are a few recent applications related to these inequalities, see Refs. [19,20,21,22]. The continuity of interval-valued functions is described by Breckner [23], who defined (A, s)-convex and (A, s)-concave mapping. Moreover, some other inequalities concerning IVFS have been established in the last decade. In the context of IVFS , Chalco-Cano et al. [24], derived some Ostrowski inequalities using the generalized Hukuhara derivative. Inequalities of Opial type were established for generalized Hukuhara differentiable IVFS by Costa et al. [25]. Matkowski et al. [26], established the interval version of Jensen inequality. It was Zhao [27] and his co-authors who first established the H . H and Jensen inequality by using h-convexity for IVFS . Generally, a classical Hermite–Hadamard inequality is defined as the following:
η ( t ) + η ( u ) 2 1 u t t u η ( ν ) d ν η t + u 2 .
where η : K R R is a convex function on K with v < w such that v , w K . Due to the fact that the Hermite–Hadamard inequality is the first geometrical interpretation of convex mappings in elementary mathematics, this inequality has attracted a lot of attention. The following are some generalizations and extensions of this inequality, see Refs. [28,29,30,31]. First, h-convex was developed by Varoşanec [32], in 2007. Hermite–Hadamard-based inequalities have been developed by several authors using h-convex functions, see Refs. [33,34,35,36]. Currently, these results are based on inclusion relations and interval LU-order relations, which are flawed. The inequalities obtained by using these old partial order relations are less precise than those obtained by using center-radius order relation, which can be verified by comparing the examples defined in this literature. Furthermore, we observe that, in examples, the interval difference between endpoints is much closer than for other convexity classes. In light of this, it is of great importance to be able to use a total order relation to study the convexity and inequalities of IVFS . As a result, we will focus the whole paper on Bhunia et al. [37], total interval order relation that is, cr-order. In 2020, Rahman [38], defined cr-convex functions and used cr-order to study nonlinear constrained optimization problems. Using the notions of cr-convexity and cr-order relation, Wei Liu and his co-authors developed a refined version of H . H and Jensen-type inequalities in 2022, see Refs. [39,40].
Theorem 1
(See [39]). Let η : [ t , u ] R I + . Consider h : ( 0 , 1 ) R + and h ( 1 2 ) 0 . If η S X ( cr-h , [ t , u ] , R I + ) and η I R [ t , u ] , then
1 2 h ( 1 2 ) η t + u 2 c r 1 u t t u η ( ν ) d ν c r [ η ( t ) + η ( u ) ] 0 1 h ( x ) d x .
By using cr-convexity, a Jensen-type inequality is also proven.
Theorem 2
(See [39]). Let d i R + , z i [ t , u ] with k 2 . If h is super multiplicative non-negative function and η S X ( cr-h , [ t , u ] , R I + ) , then the inequality become as:
η 1 D k i = 1 k d i z i c r i = 1 k h d i D k η ( z i ) ,
Based on the h-GL function, Ohud Almutairi and Adem Kiliman proved the following result in 2019, see Ref. [35].
Theorem 3.
Let η : [ t , u ] R . If η is h-Godunova–Levin function and h ( 1 2 ) 0 , then
h ( 1 2 ) 2 η t + u 2 1 u t t u η ( ν ) d ν [ η ( t ) + η ( u ) ] 0 1 d x h ( x ) .
It has the advantage of introducing a new concept of interval-valued Godunova–Levin functions pertaining to a total order relation, namely, a center-radius order, which is very novel in the literature. The discussion in this article opens up a new avenue in the field of inequalities, showing how cr-interval-valued functions can be incorporated with various integral inequalities. It is important to note that cr-order interval-valued analysis differs from classical interval-valued analysis. To calculate intervals, we use the centre and radius concept given as t c = t ̲ + t ¯ 2 and t r = t ¯ t ̲ 2 , respectively, where t ¯ and t ̲ are endpoints of interval t.
Inspired by Refs. [35,37,39,40], we introduce a novel class of convexity by using centre-radius order relation for IVFS which are known as cr-h-GL functions. First, we derived new variants of H . H inequality, then we represented the Jensen inequality by using this new class. Additionally, the study includes useful examples to support its findings.
Lastly, the structure of the paper is as follows. In Section 2, preliminary information is provided. The key problems are described in Section 3. There is a conclusion at the end of Section 5.

2. Preliminaries

For the notions which are used in this paper and are not defined here, see Refs. [39,40]. The space of intervals is denoted by the following R I of R. In addition, the collection of all positive intervals can be represented by R I + . For ν R , the Minkowski addition and scalar multiplication are defined by
t + u = [ t ̲ , t ¯ ] + [ u ̲ , u ¯ ] = [ t ̲ + u ̲ , t ¯ + u ¯ ] ;
ν t = ν . [ t ̲ , t ¯ ] = [ ν t ̲ , μ t ¯ ] , i f ν > 0 , { 0 } , i f ν = 0 , [ ν t ¯ , ν t ̲ ] , i f ν < 0 ,
respectively.
Let t = [ t ̲ , t ¯ ] R I , t c = t ̲ + t ¯ 2 is center while t r = t ¯ t ̲ 2 is known as radius of t. Center-radius form of interval t is represented by
t = t ̲ + t ¯ 2 , t ¯ t ̲ 2 = ( t c , t r ) .
Here is the definition of order relation for radii and centers.
Definition 1
(See [37]). Consider t = [ t ̲ , t ¯ ] = ( t c , t r ) , u = [ u ̲ , u ¯ ] = ( u c , u r ) R I , then centre-radius order (In short cr-order) relation is defined as
t c r u t c < u c , t c u c t c u c , t c = u c
In addition, we describe the concept of Riemann integrable (In short I R ) as it pertains to interval-valued functions in [41].
Theorem 4
(See [41]). Let η : [ t , u ] R I be IVF given by η ( ν ) = [ η ̲ ( ν ) , η ¯ ( ν ) ] for each ν [ t , u ] and η ̲ , η ¯ are IR over interval [ t , u ] . In that case, we would say that our function η is I R over interval [ t , u ] , and
t u η ( ν ) d ν = t u η ̲ ( ν ) d ν , t u η ¯ ( ν ) d ν .
Assign I R [ t , u ] , to all Riemann integrables ( I R ) IVFS over the interval.
Theorem 5
(See [39]). Let η , ζ : [ t , u ] R I + given by η = [ η ̲ , η ¯ ] , and ζ = [ ζ ̲ , ζ ¯ ] . If η , ζ I R [ t , u ] , and η ( ν ) c r ζ ( ν ) , ν [ t , u ] , then
t u η ( ν ) d ν c r t u ζ ( ν ) d ν .
For a more detailed explanation of interval analysis notations, see Ref. [41].
Definition 2
(See [39]). Consider h : [ 0 , 1 ] R + . We say that η : [ t , u ] R + is known h-convex function, or that η S X ( h , [ t , u ] , R + ) , if t 1 , u 1 [ t , u ] and ν [ 0 , 1 ] , we have
η ( ν t 1 + ( 1 ν ) u 1 ) h ( ν ) η ( t 1 ) + h ( 1 ν ) η ( u 1 ) .
If in (5) ≤ replaced with ≥ it is referred to as h-concave function or η S V ( h , [ t , u ] , R + ) .
Definition 3
(See [39]). Consider h : ( 0 , 1 ) R + . We say that η : [ t , u ] R + is known as h-GL function, or that η S G X ( h , [ t , u ] , R + ) , if t 1 , u 1 [ t , u ] and ν ( 0 , 1 ) , we have
η ( ν t 1 + ( 1 ν ) u 1 ) η ( t 1 ) h ( ν ) + η ( u 1 ) h ( 1 ν ) .
If in (6) ≤ replaced with ≥ it is referred to ash-Godunova–Levin concave function or η S G V ( h , [ t , u ] , R + ) .
Now let’s introduce the interval-valued function concept for cr-convexity.
Definition 4
(See [39]). Consider h : [ 0 , 1 ] R + . We say that η = [ η ̲ , η ¯ ] : [ t , u ] R I + is called cr-h-convex function, or that η S X ( cr-h , [ t , u ] , R I + ) , if t 1 , u 1 [ t , u ] and ν [ 0 , 1 ] , we have
η ( ν t 1 + ( 1 ν ) u 1 ) c r h ( ν ) η ( t 1 ) + h ( 1 ν ) η ( u 1 ) .
If in (7) ≤ replaced with ≥ it is referred to as cr-h-concave function or η S V ( cr-h , [ t , u ] , R I + ) .
Definition 5
(See [39]). Consider h : ( 0 , 1 ) R + . We say that η = [ η ̲ , η ¯ ] : [ t , u ] R I + is called cr-h-Godunova–Levin convex function, or that η S G X ( cr-h , [ t , u ] , R I + ) , if t 1 , u 1 [ t , u ] and ν ( 0 , 1 ) , we have
η ( ν t 1 + ( 1 ν ) u 1 ) c r η ( t 1 ) h ( ν ) + η ( u 1 ) h ( 1 ν ) .
If in (2) ≤ replaced with ≥ it is referred to as cr-h-Godunova–Levin concave function or η S G V ( cr-h , [ t , u ] , R I + ) .
Remark 1.
• If h ( ν ) = 1 , Definition 5 becomes a cr-P-function [39].
  • If h ( ν ) = 1 h ( ν ) , Definition 5 becomes a cr h-convex function [39].
  • If h ( ν ) = ν , Definition 5 becomes a cr-Godunova–Levin function [39].
  • If h ( ν ) = 1 ν s , Definition 5 becomes a cr-s-convex function [39].
  • If h ( ν ) = ν s , Definition 5 becomes a cr-s-GL function [39].

3. Main Results

Proposition 1.
Consider h 1 , h 2 : ( 0 , 1 ) R + be non-negative functions and
1 h 2 1 h 1 , ν ( 0 , 1 ) .
If η S G X ( c r - h 2 , [ t , u ] , R I + ) , then η S G X ( c r - h 1 , [ t , u ] , R I + ) .
Proof. 
Since η S G X ( c r - h 2 , [ t , u ] , R I + ) , then for all t 1 , u 1 [ t , u ] , ν ( 0 , 1 ) , we have
η ( ν t 1 + ( 1 ν ) u 1 ) c r η ( t 1 ) h 2 ( ν ) + η ( u 1 ) h 2 ( 1 ν )
c r η ( t 1 ) h 1 ( ν ) + η ( u 1 ) h 1 ( 1 ν ) .
Hence, η S G X ( c r - h 1 , [ t , u ] , R I + ) .
Proposition 2.
Let η : [ t , u ] R I given by [ η ̲ , η ¯ ] = η c , η r . If η c and η r are h-GL over [ t , u ] , then η is known as cr-h-GL function over [ t , u ] .
Proof. Since
η c and η r are h-GL over [ t , u ] , then for each ν ( 0 , 1 ) and for all t 1 , u 1 [ t , u ] , we have
η c ( ν t 1 + ( 1 ν ) u 1 ) c r η c ( t 1 ) h ( ν ) + η c ( u 1 ) h ( 1 ν ) ,
and
η r ( ν t 1 + ( 1 ν ) u 1 ) c r η r ( t 1 ) h ( ν ) + η r ( u 1 ) h ( 1 ν ) ,
Now, if
η c ( ν t 1 + ( 1 ν ) u 1 ) η c ( t 1 ) h ( ν ) + η c ( u 1 ) h ( 1 ν ) ,
then for each ν ( 0 , 1 ) and for all t 1 , u 1 [ t , u ] ,
η c ( ν t 1 + ( 1 ν ) u 1 ) < η c ( t 1 ) h ( ν ) + η c ( u 1 ) h ( 1 ν ) ,
Accordingly,
η c ( ν t 1 + ( 1 ν ) u 1 ) c r η c ( t 1 ) h ( ν ) + η c ( u 1 ) h ( 1 ν ) .
Otherwise, for each ν ( 0 , 1 ) and for all t 1 , u 1 [ t , u ] ,
η r ( ν t 1 + ( 1 ν ) u 1 ) η r ( t 1 ) h ( ν ) + η r ( u 1 ) h ( 1 ν ) η ( ν t 1 + ( 1 ν ) u 1 ) c r η ( t 1 ) h ( ν ) + η ( u 1 ) h ( 1 ν ) .
Taking all of the above into account, and Definition 1 this can be written as
η ( ν t 1 + ( 1 ν ) u 1 ) c r η ( t 1 ) h ( ν ) + η ( u 1 ) h ( 1 ν )
for each ν ( 0 , 1 ) and for all t 1 , u 1 [ t , u ] .
This completes the proof. □
This section establishes H . H inequalities for cr-h-GL functions.
Theorem 6.
Consider h : ( 0 , 1 ) R + and h ( 1 2 ) 0 . Let η : [ t , u ] R I + , if η S G X ( cr-h , [ t , u ] , R I + ) and η I R [ t , u ] , we have
h ( 1 2 ) 2 η t + u 2 c r 1 u t t u η ( ν ) d ν c r [ η ( t ) + η ( u ) ] 0 1 d x h ( x ) .
Proof. 
Since η S G X ( cr-h , [ t , u ] , R I + ) , we have
h 1 2 η t + u 2 c r η ( x t + ( 1 x ) u ) + η ( ( 1 x ) t + x u )
Integration over (0,1), we have
h 1 2 η t + u 2 c r 0 1 η ( x t + ( 1 x ) u ) d x + 0 1 η ( ( 1 x ) t + x u ) d x
= [ 0 1 η ̲ ( x t + ( 1 x ) u ) d x + 0 1 η ̲ ( ( 1 x ) t + x u ) d x ,
0 1 η ¯ ( x t + ( 1 x ) u ) d x + 0 1 η ¯ ( ( 1 x ) t + x u ) d x ]
= 2 u t t u η ̲ ( ν ) d ν , 2 u t t u η ¯ ( ν ) d ν
= 2 u t t u η ( ν ) d ν .
By Definition 5, we have
η ( x t + ( 1 x ) u ) c r η ( t ) h ( x ) + η ( u ) h ( 1 x )
With integration over (0,1), we have
0 1 η ( x t + ( 1 x ) u ) d x c r η ( t ) 0 1 d x h ( x ) + η ( u ) 0 1 d x h ( 1 x )
Accordingly,
1 u t t u η ( ν ) d ν c r η ( t ) + η ( u ) 0 1 d x h ( x )
Now, combining (9) and (10), we get required result
h ( 1 2 ) 2 η t + u 2 c r 1 u t t u η ( ν ) d ν c r [ η ( t ) + η ( u ) ] 0 1 d x h ( x ) .
Remark 2.
• If h ( x ) = 1 , Theorem 6 becomes result for cr- P-functions:
1 2 η t + u 2 c r 1 u t t u η ( ν ) d ν c r [ η ( t ) + η ( u ) ] .
  • If h ( x ) = 1 x , Theorem 6 becomes result for cr-convex functions:
    η t + u 2 c r 1 u t t u η ( ν ) d ν c r [ η ( t ) + η ( u ) ] 2 .
  • If h ( x ) = 1 ( x ) s , Theorem 6 becomes result for cr-s-convex function:
    2 s 1 η t + u 2 c r 1 u t t u η ( ν ) d ν c r [ η ( t ) + η ( u ) ] s + 1 .
Example 1.
Let [ t , u ] = [ 0 , 1 ] , h ( x ) = 1 x , x ( 0 , 1 ) . η : [ t , u ] R I + is defined as
η ( ν ) = [ ν 2 + 1 , 2 ν 2 + 2 ] .
where
h ( 1 2 ) 2 η t + u 2 = η 1 2 = 3 4 , 5 2 ,
1 u t t u η ( ν ) d ν = 0 1 ( ν 2 + 1 ) d ν , 0 1 ( 2 ν 2 + 2 ) d ν = 2 3 , 8 3 ,
η ( t ) + η ( u ) 0 1 d x h ( x ) = 1 2 , 3 .
As a result,
3 4 , 5 2 c r 2 3 , 8 3 c r 1 2 , 3 .
This proves the above theorem.
Theorem 7.
Consider h : ( 0 , 1 ) R + and h ( 1 2 ) 0 . Let η : [ t , u ] R I + , if η S G X ( cr-h , [ t , u ] , R I + ) and η I R [ t , u ] , we have
h ( 1 2 ) 2 4 η t + u 2 c r 1 c r 1 u t t u η ( ν ) d ν c r 2
c r η ( t ) + η ( u ) 1 2 + 1 h ( 1 2 ) 0 1 d x h ( x ) ,
where
1 = [ h ( 1 2 ) ] 4 η 3 t + u 4 + η 3 u + t 4 ,
2 = η t + u 2 + η ( t ) + η ( u ) 2 ) 0 1 d x h ( x ) .
Proof. 
Consider [ t , t + u 2 ] , we have
η t + t + u 2 2 = η 3 t + u 2 c r η x t + ( 1 x ) t + u 2 h ( 1 2 ) + η ( 1 x ) t + x t + u 2 h ( 1 2 )
Integration over (0,1), we have
η 3 t + u 2 c r 1 h ( 1 2 ) 0 1 η ( x t + ( 1 x ) t + u 2 ) d x + 0 1 η ( x t + u 2 + ( 1 x ) u ) d x
= 1 h ( 1 2 ) 2 u t u t + u 2 η ( ν ) d ν + 2 u t u t + u 2 η ( ν ) d ν
= 4 h ( 1 2 ) 1 w v v v + w 2 φ ( μ ) d μ .
Accordingly,
[ h ( 1 2 ) ] 4 η 3 t + u 2 c r 1 u t t t + u 2 η ( ν ) d ν .
Similarly for interval [ t + u 2 , u ] , we have
[ h ( 1 2 ) ] 4 η 3 u + t 2 c r 1 u t t t + u 2 η ( ν ) d ν .
Adding inequalities (11) and (12), we get
1 = h ( 1 2 ) 4 η 3 t + u 4 + η 3 u + t 4 c r 1 u t t u η ( ν ) d ν .
Now
h ( 1 2 ) 2 4 η t + u 2
= h ( 1 2 ) 2 4 η 1 2 3 t + u 4 + 1 2 3 u + t 4
c r h ( 1 2 ) 2 4 η 3 t + u 4 h ( 1 2 ) + η 3 u + t 4 h ( 1 2 )
= h ( 1 2 ) 4 η 3 t + u 4 + η 3 u + t 4
= 1
c r h ( 1 2 ) 4 1 h ( 1 2 ) η ( t ) + η t + u 2 + 1 h ( 1 2 ) η ( u ) + η t + u 2
= 1 2 η ( t ) + η ( u ) 2 + η t + u 2
c r η ( t ) + η ( u ) 2 + η t + u 2 0 1 d x h ( x )
= 2
c r η ( t ) + η ( u ) 2 + η ( t ) h ( 1 2 ) + η ( u ) h ( 1 2 ) 0 1 d x h ( x )
c r η ( t ) + η ( u ) 2 + 1 h ( 1 2 ) η ( t ) + η ( u ) 0 1 d x h ( x )
c r η ( t ) + η ( u ) 1 2 + 1 h ( 1 2 ) 0 1 d x h ( x ) .
Example 2.
Thanks to Example 1, we have
h ( 1 2 ) 2 4 η t + u 2 = η 1 2 = 3 4 , 5 2 ,
1 = 1 2 η 1 4 + η 3 4 = 11 16 , 21 8 ,
2 = η ( 0 ) + η ( 1 ) 2 + η 1 2 0 1 d x h ( x ) ,
2 = 1 2 1 2 , 3 + 3 4 , 5 2 ,
2 = 5 8 , 11 4 ,
η ( t ) + η ( u ) 1 2 + 1 h ( 1 2 ) 0 1 d x h ( x ) = 1 2 , 3 .
Thus, we obtain
3 4 , 5 2 c r 11 16 , 21 8 c r 2 3 , 8 3 c r 5 8 , 11 4 c r 1 2 , 3 .
This proves the above theorem.
Theorem 8.
Let η , ζ : [ t , u ] R I + , h 1 , h 2 : ( 0 , 1 ) R + such that h 1 , h 2 0 . If η S G X ( c r - h 1 , [ t , u ] , R I + ) , ζ S G X ( c r - h 2 , [ t , u ] , R I + ) and η , ζ I R [ v , w ] then, we have
1 u t t u η ( ν ) ζ ( ν ) d ν c r M ( t , u ) 0 1 1 h 1 ( x ) h 2 ( x ) d x + N ( t , u ) 0 1 1 h 1 ( x ) h 2 ( 1 x ) d x
where
M ( v , w ) = η ( t ) ζ ( t ) + η ( u ) ζ ( u ) , N ( t , u ) = η ( t ) ζ ( u ) + η ( u ) ζ ( t ) .
Proof. 
Conider η S G X ( c r - h 1 , [ t , u ] , R I + ) , ζ S G X ( c r - h 2 , [ t , u ] , R I + ) then, we have
η t x + ( 1 x ) u c r η ( t ) h 1 ( x ) + η ( u ) h 1 ( 1 x ) ,
ζ t x + ( 1 x ) u c r ζ ( t ) h 2 ( x ) + ζ ( u ) h 2 ( 1 x ) .
Then,
η t x + ( 1 x ) u ζ t x + ( 1 x ) u
c r η ( t ) ζ ( t ) h 1 ( x ) h 2 ( x ) + η ( t ) ζ ( u ) h 1 ( x ) h 2 ( 1 x ) + η ( u ) ζ ( t ) h 1 ( 1 x ) h 2 ( x ) + η ( u ) ζ ( u ) h 1 ( 1 x ) h 2 ( 1 x ) .
Integration over (0,1), we have
0 1 η t x + ( 1 x ) u ζ t x + ( 1 x ) u d x
= 0 1 η ̲ t x + ( 1 x ) u ζ ̲ t x + ( 1 x ) u d x , 0 1 η ¯ t x + ( 1 x ) u ζ ¯ t x + ( 1 x ) u d x
= 1 u t t u η ̲ ( ν ) ζ ̲ ( ν ) d ν , 1 u t t u η ¯ ( ν ) ζ ¯ ( ν ) d ν = 1 u t t u η ( ν ) ζ ( ν ) d ν
c r 0 1 η ( t ) ζ ( t ) + η ( u ) ζ ( u ) h 1 ( x ) h 2 ( x ) d x + 0 1 η ( t ) ζ ( u ) + η ( u ) ζ ( t ) h 1 ( x ) h 2 ( 1 x ) d x
It follows that
1 u t t u η ( ν ) ζ ( ν ) d ν c r M ( t , u ) 0 1 1 h 1 ( x ) h 2 ( x ) d x + N ( t , u ) 0 1 1 h 1 ( x ) h 2 ( 1 x ) d x .
Theorem is proved. □
Example 3.
Let [ t , u ] = [ 1 , 2 ] , h 1 ( x ) = h 2 ( x ) = 1 x , x ( 0 , 1 ) . η , ζ : [ t , u ] R I + be defined as
η ( ν ) = [ ν 2 + 1 , 2 ν 2 + 2 ] , ζ ( ν ) = [ ν , ν + 1 ] .
Then,
1 u t t u η ( ν ) ζ ( ν ) d ν = 9 4 , 103 6 ,
M ( t , u ) 0 1 1 h 1 ( x ) h 2 ( x ) d x = M ( 1 , 2 ) 0 1 x 2 d x = 140 3 , 70 ,
N ( t , u ) 0 1 1 h 1 ( x ) h 2 ( 1 x ) d x = N ( 1 , 2 ) 0 1 x 2 d x = 42 , 224 3 .
It follows that
9 4 , 103 6 c r 140 3 , 70 + 42 , 224 3 = 266 3 , 434 3 .
It follows that the theorem above is true.
Theorem 9.
Let η , ζ : [ t , u ] R I + , h 1 , h 2 : ( 0 , 1 ) R + such that h 1 , h 2 0 . If η S G X ( c r - h 1 , [ t , u ] , R I + ) , ζ S G X ( c r - h 2 , [ t , u ] , R I + ) and η , ζ I R [ v , w ] then, we have
h 1 ( 1 2 ) h 2 ( 1 2 ) 2 η t + u 2 ζ t + u 2 c r 1 u t t u η ( ν ) ζ ( ν ) d μ
+ M ( t , u ) 0 1 1 h 1 ( x ) h 2 ( x ) d x + N ( t , u ) 0 1 1 h 1 ( x ) h 2 ( 1 x ) d x .
Proof. 
Since η S G X ( c r - h 1 , [ t , u ] , R I + ) , ζ S G X ( c r - h 2 , [ t , u ] , R I + ) , we have
η t + u 2 c r η t x + ( 1 x ) u h 1 ( 1 2 ) + η t ( 1 x ) + x u h 1 ( 1 2 ) ,
ζ t + u 2 c r ζ t x + ( 1 x ) u h 2 ( 1 2 ) + ζ t ( 1 x ) + x u h 2 ( 1 2 ) .
Then,
η t + u 2 ζ t + u 2
c r 1 h 1 ( 1 2 ) h 2 ( 1 2 ) η t x + ( 1 x ) u ζ t x + ( 1 x ) u + η t ( 1 x ) + x u ζ t ( 1 x ) + x u
+ 1 h 1 ( 1 2 ) h 2 ( 1 2 ) η t x + ( 1 x ) u ζ t ( 1 x ) + x u + η t ( 1 x ) + x u ζ t x + ( 1 x ) u
c r 1 h 1 ( 1 2 ) h 2 ( 1 2 ) η t x + ( 1 x ) u ζ t x + ( 1 x ) u + η t ( 1 x ) + ( x u ζ t ( 1 x ) + x u
+ 1 h 1 ( 1 2 ) h 2 ( 1 2 ) [ η ( t ) h 1 ( x ) + η ( u ) h 1 ( 1 x ) ζ ( u ) h 2 ( 1 x ) + ζ ( u ) h 2 ( x )
+ η ( t ) h 1 ( 1 x ) + η ( u ) h 1 ( x ) ζ ( t ) h 2 ( x ) + ζ ( u ) h 2 ( 1 x ) ]
c r 1 h 1 ( 1 2 ) h 2 ( 1 2 ) η t x + ( 1 x ) u ζ t x + ( 1 x ) u + η t ( 1 x ) + u x ζ t ( 1 x ) + u x
+ 1 h 1 ( 1 2 ) h 2 ( 1 2 ) [ 1 h 1 ( x ) h 2 ( 1 x ) + 1 h 1 ( 1 x ) h 2 ( x ) M ( t , u )
+ 1 h 1 ( x ) h 2 ( x ) + 1 h 1 ( 1 x ) h 2 ( 1 x ) N ( t , u ) ] .
Integration over ( 0 , 1 ) , we have
0 1 η t + u 2 ζ t + u 2 d x = 0 1 η ̲ t + u 2 ζ ̲ t + u 2 d x , 0 1 η ¯ t + u 2 ζ ¯ t + u 2 d x
= η t + u 2 ζ t + u 2 d x c r 2 h 1 ( 1 2 ) h 2 ( 1 2 ) 1 u t t u η ( ν ) ζ ( ν ) d ν
+ 2 h ( 1 2 ) h ( 1 2 ) M ( t , u ) 0 1 1 h 1 ( x ) h 2 ( 1 x ) d x + N ( t , u ) 0 1 1 h 1 ( x ) h 2 ( x ) d x
Multiply both sides by h 1 ( 1 2 ) h 2 ( 1 2 ) 2 above equation, we get required result
h 1 ( 1 2 ) h 2 ( 1 2 ) 2 η t + u 2 ζ t + u 2 c r 1 u t t u η ( ν ) ζ ( ν ) d ν
+ M ( t , u ) 0 1 1 h 1 ( x ) h 2 ( 1 x ) d x + N ( t , u ) 0 1 1 h 1 ( x ) h 2 ( x ) d x .
As a result, the proof is complete. □
Example 4.
Let [ t , u ] = [ 1 , 2 ] , h 1 ( x ) = h 2 ( x ) = 1 x , x ( 0 , 1 ) . η , ζ : [ t , u ] R I + be defined as
η ( ν ) = [ ν 2 + 1 , 2 ν 2 + 2 ] , ζ ( ν ) = [ ν , ν + 1 ] .
Then,
h 1 ( 1 2 ) h 2 ( 1 2 ) 2 η t + u 2 ζ t + u 2 = 2 η 3 2 ζ 3 2 = 78 4 , 130 ,
1 u t t u η ( ν ) ζ ( ν ) d ν = 9 4 , 103 6 ,
M ( t , u ) 0 1 1 h 1 ( x ) h 2 ( 1 x ) d x = M ( 1 , 2 ) 0 1 x 2 d x = 140 3 , 70 ,
N ( t , u ) 0 1 1 h 1 ( x ) h 2 ( x ) d x = N ( 1 , 2 ) 0 1 x 2 d x = 42 , 224 3 .
It follows that
78 4 , 130 c r 9 4 , 103 6 + 140 3 , 70 + 42 , 224 3 = 1037 12 , 971 6 .
This proves the above theorem.

4. Jensen-Type Inequality

This section establishes cr-h-GL version of Jensen-type inequality.
Theorem 10.
Let d i R + , z i [ t , u ] with k 2 . If h is non-negative and super multiplicative function or η S G X ( cr-h , [ t , u ] , R I + ) . Then the inequality become as:
η 1 D k i = 1 k d i z i c r i = 1 k η ( z i ) h d i D k ,
where D k = i = 1 k d i .
Proof. 
When k = 2 , inequality (13) holds. Assume that inequality (13) is also true for k 1 , then
η 1 D k i = 1 k d i z i = η d k D k z k + i = 1 k 1 d i D k z i
= η d k D k z k + D k 1 D k i = 1 k 1 d i D k 1 z i
c r η ( z k ) h d k D k + η i = 1 k 1 d i D k 1 z i h D k 1 D k
c r η ( z k ) h d k D k + i = 1 k 1 η ( z i ) h d i D k 1 1 h D k 1 D k
c r η ( z k ) h d k D k + i = 1 k 1 η ( z i ) h ( d i D k )
c r i = 1 k η ( z i ) h d i D k .
Therefore, the result can be proved by mathematical induction. □
Remark 3.
• If h ( x ) = 1 , Theorem 10 becomes result for cr-P-functions:
η 1 D k i = 1 k d i z i c r i = 1 k η ( z i ) .
  • If h ( x ) = 1 x , Theorem 10 becomes result for cr-convex functions:
    η 1 D k i = 1 k d i z i c r i = 1 k d i D k η ( z i ) .
  • If h ( x ) = 1 ( x ) s , Theorem 10 becomes result for cr-s-convex function:
    η 1 D k i = 1 k d i z i c r i = 1 k d i D k s η ( z i ) .

5. Conclusions

In this study, we introduce the h-GL concept for IVFS using cr-order. The purpose of this concept was to study Jensen and H . H inequalities for IVFS . Recent results developed by Wei Liu [39,40] and Adem Kiliman [35] are generalized in this study. As a further support for our main findings, we provide a few relevant examples. We can explore this topic in the future by determining equivalent inequalities for different types of convexity. A new direction begins to emerge in convex optimization theory under the influence of this concept. As part of our future research, we will be interested in the study of differential equations with intervals and application of cr-h-GL functions to optimize problems using cr-order. It is hoped that other scientists in various scientific disciplines will benefit from this concept.

Author Contributions

Conceptualization, W.A.; Formal analysis, W.A.; Funding acquisition, J.E.M.-D.; Investigation, J.E.M.-D.; Methodology, M.A.; Resources, S.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by J.E.M.-D. by the National Council of Science and Technology of Mexico (CONACYT) through grant A1-S-45928.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Moore, R.E. Interval Analysis; Prentice-Hall: Hoboken, NJ, USA, 1966. [Google Scholar]
  2. Snyder, J.M. Interval analysis for computer graphics. In Proceedings of the 19th Annual Conference on Computer Graphics and Interactive Techniques, Chicago, IL, USA, 27–31 July 1992; pp. 121–130. [Google Scholar]
  3. Qian, Y.; Liang, J.; Dang, C. Interval ordered information systems. Comput. Math. Appl. 2008, 56, 1994–2009. [Google Scholar] [CrossRef]
  4. Bettahalli Kengegowda, D.; Kamidoddi Chowdaiah, S.; Harinahalli Lokesh, G.; Flammini, F. Classification and Merging Techniques to Reduce Brokerage Using Multi-Objective Optimization. Algorithms 2022, 15, 70. [Google Scholar] [CrossRef]
  5. Rothwell, E.J.; Cloud, M.J. Automatic error analysis using intervals. IEEE Trans. Educ. 2011, 55, 9–15. [Google Scholar] [CrossRef]
  6. de Weerdt, E.; Chu, Q.P.; Mulder, J.A. Neural network output optimization using interval analysis. IEEE Trans. Neural Netw. 2009, 20, 638–653. [Google Scholar] [CrossRef] [PubMed]
  7. Gao, W.; Song, C.; Tin-Loi, F. Probabilistic interval analysis for structures with uncertainty. Struct. Saf. 2010, 32, 191–199. [Google Scholar] [CrossRef]
  8. Wang, X.; Wang, L.; Qiu, Z. A feasible implementation procedure for interval analysis method from measurement data. Appl. Math. Model. 2014, 38, 2377–2397. [Google Scholar] [CrossRef]
  9. Xiaoju, Z.; Shabbir, K.; Afzal, W.; Xiao, H.; Lin, D. Hermite–Hadamard and Jensen-Type Inequalities via Riemann Integral Operator for a Generalized Class of Godunova–Levin Functions. J. Math. 2022, 2022, 3830324. [Google Scholar]
  10. Faisal, S.; Adil Khan, M.; Khan, T.U.; Saeed, T.; Alshehri, A.M.; Nwaeze, E.R. New “Conticrete” Hermite–Hadamard–Jensen–Mercer Fractional Inequalities. Symmetry 2022, 14, 294. [Google Scholar] [CrossRef]
  11. Dragomir, S.S. Inequalities of Hermite–Hadamard type for functions of selfadjoint operators and matrices. J. Math. Inequalities 2017, 11, 241–259. [Google Scholar] [CrossRef]
  12. Kamenskii, M.; Petrosyan, G.A.R.I.K.; Wen, C.F. An existence result for a periodic boundary value problem of fractional semilinear differential equations in a Banach space. J. Nonlinear Var. Anal. 2021, 5, 155–177. [Google Scholar]
  13. Zhao, D.; An, T.; Ye, G.; Torres, D.F. On Hermite–Hadamard type inequalities for harmonical h-convex interval-valued functions. arXiv 2019, arXiv:1911.06900. [Google Scholar]
  14. Khan, M.B.; Macías-Díaz, J.E.; Treanțǎ, S.; Soliman, M.S.; Zaini, H.G. Hermite–Hadamard Inequalities in Fractional Calculus for Left and Right Harmonically Convex Functions via Interval-Valued Settings. Fractal Fract. 2022, 6, 178. [Google Scholar] [CrossRef]
  15. Afzal, W.; Alb Lupaş, A.; Shabbir, K. Hermite–Hadamard and Jensen-Type Inequalities for Harmonical (h 1, h 2)-Godunova–Levin Interval-Valued Functions. Mathematics 2022, 10, 2970. [Google Scholar] [CrossRef]
  16. Niculescu, C.P.; Persson, L.E. Old and new on the Hermite–Hadamard inequality. Real Anal. Exch. 2004, 29, 663–686. [Google Scholar] [CrossRef]
  17. Abdeljawad, T.; Rashid, S.; Khan, H.; Chu, Y.M. On new fractional integral inequalities for p-convexity within interval-valued functions. Adv. Differ. Equ. 2020, 2020, 330. [Google Scholar] [CrossRef]
  18. Nwaeze, E.R.; Khan, M.A.; Chu, Y.M. Fractional inclusions of the Hermite–Hadamard type for m-polynomial convex interval-valued functions. Adv. Differ. Equ. 2020, 2020, 507. [Google Scholar] [CrossRef]
  19. Nowicka, M.; Witkowski, A. Applications of the Hermite–Hadamard inequality. arXiv 2016, arXiv:1603.07170. [Google Scholar] [CrossRef]
  20. Mihai, M.V.; Awan, M.U.; Noor, M.A.; Kim, J.K.; Noor, K.I. Hermite–Hadamard inequalities and their applications. J. Inequalities Appl. 2018, 2018, 309. [Google Scholar] [CrossRef]
  21. Xiao, L.; Lu, G. A new refinement of Jensen’s inequality with applications in information theory. Open Math. 2020, 18, 1748–1759. [Google Scholar] [CrossRef]
  22. Awan, M.U.; Noor, M.A.; Safdar, F.; Islam, A.; Mihai, M.V.; Noor, K.I. Hermite–Hadamard type inequalities with applications. Miskolc Math. Notes 2020, 21, 593–614. [Google Scholar] [CrossRef]
  23. Breckner, W.W. Continuity of generalized convex and generalized concave set-valued functions. Rev. D’Anal. Numér. Théor. Approx. 1993, 22, 39–51. [Google Scholar]
  24. Chalco-Cano, Y.; Flores-Franulič, A.; Román-Flores, H. Ostrowski type inequalities for interval-valued functions using generalized Hukuhara derivative. Comput. Appl. Math. 2012, 31, 457–472. [Google Scholar]
  25. Costa, T.M.; Román-Flores, H.; Chalco-Cano, Y. Opial-type inequalities for interval-valued functions. Fuzzy Sets Syst. 2019, 358, 48–63. [Google Scholar] [CrossRef]
  26. Matkowski, J.; Nikodem, K. An integral Jensen inequality for convex multifunctions. Results Math. 1994, 26, 348–353. [Google Scholar] [CrossRef]
  27. Afzal, W.; Shabbir, K.; Botmart, T. Generalized version of Jensen and Hermite-Hadamard inequalities for interval-valued (h1, h2)-Godunova-Levin functions. AIMS Math. 2022, 7, 19372–19387. [Google Scholar] [CrossRef]
  28. Wu, Y.; Qi, F. Discussions on two integral inequalities of Hermite–Hadamard type for convex functions. J. Comput. Appl. Math. 2022, 406, 114049. [Google Scholar] [CrossRef]
  29. Macías-Díaz, J.E.; Khan, M.B.; Noor, M.A.; Abd Allah, A.M.; Alghamdi, S.M. Hermite–Hadamard inequalities for generalized convex functions in interval-valued calculus. AIMS Math. 2022, 7, 4266–4292. [Google Scholar] [CrossRef]
  30. Khan, M.B.; Srivastava, H.M.; Mohammed, P.O.; Nonlaopon, K.; Hamed, Y.S. Some new Jensen, Schur and Hermite–Hadamard inequalities for log convex fuzzy interval-valued functions. AIMS Math. 2022, 7, 4338–4358. [Google Scholar] [CrossRef]
  31. Khan, M.B.; Noor, M.A.; Shah, N.A.; Abualnaja, K.M.; Botmart, T. Some New Versions of Hermite–Hadamard Integral Inequalities in Fuzzy Fractional Calculus for Generalized Pre-Invex Functions via Fuzzy-Interval-Valued Settings. Fractal Fract. 2022, 6, 83. [Google Scholar] [CrossRef]
  32. Varošanec, S. On h-convexity. J. Math. Anal. Appl. 2007, 326, 303–311. [Google Scholar] [CrossRef]
  33. Luo, C.; Wang, H.; Du, T. Fejér–Hermite–Hadamard type inequalities involving generalized h-convexity on fractal sets and their applications. Chaos Solitons Fractals 2020, 131, 109547. [Google Scholar] [CrossRef]
  34. Sun, W. Generalized h-convexity on fractal sets and some generalized Hadamard-type inequalities. Fractals 2020, 28, 2050021. [Google Scholar] [CrossRef]
  35. Almutairi, O.; Kılıçman, A. Some integral inequalities for h-Godunova–Levin preinvexity. Symmetry 2019, 11, 1500. [Google Scholar] [CrossRef]
  36. Ali, S.; Ali, R.S.; Vivas-Cortez, M.; Mubeen, S.; Rahman, G.; Nisar, K.S. Some fractional integral inequalities via h-Godunova–Levin preinvex function. AIMS Math. 2022, 7, 13832–13844. [Google Scholar] [CrossRef]
  37. Bhunia, A.K.; Samanta, S.S. A study of interval metric and its application in multi-objective optimization with interval objectives. Comput. Ind. Eng. 2014, 74, 169–178. [Google Scholar] [CrossRef]
  38. Rahman, M.S.; Shaikh, A.A.; Bhunia, A.K. Necessary and sufficient optimality conditions for non-linear unconstrained and constrained optimization problem with interval valued objective function. Comput. Ind. Eng. 2020, 147, 106634. [Google Scholar] [CrossRef]
  39. Shi, F.; Ye, G.; Liu, W.; Zhao, D. cr-h-convexity and some inequalities for cr-h-convex function. Filomat 2022. submitted. [Google Scholar]
  40. Liu, W.; Shi, F.; Ye, G.; Zhao, D. The Properties of Harmonically cr-h-Convex Function and Its Applications. Mathematics 2022, 10, 2089. [Google Scholar] [CrossRef]
  41. Markov, S. Calculus for interval functions of a real variable. Computing 1979, 22, 325–337. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Afzal, W.; Abbas, M.; Macías-Díaz, J.E.; Treanţă, S. Some H-Godunova–Levin Function Inequalities Using Center Radius (Cr) Order Relation. Fractal Fract. 2022, 6, 518. https://doi.org/10.3390/fractalfract6090518

AMA Style

Afzal W, Abbas M, Macías-Díaz JE, Treanţă S. Some H-Godunova–Levin Function Inequalities Using Center Radius (Cr) Order Relation. Fractal and Fractional. 2022; 6(9):518. https://doi.org/10.3390/fractalfract6090518

Chicago/Turabian Style

Afzal, Waqar, Mujahid Abbas, Jorge E. Macías-Díaz, and Savin Treanţă. 2022. "Some H-Godunova–Levin Function Inequalities Using Center Radius (Cr) Order Relation" Fractal and Fractional 6, no. 9: 518. https://doi.org/10.3390/fractalfract6090518

Article Metrics

Back to TopTop