Next Article in Journal
The Alpha-Beta Family of Filters to Solve the Threshold Problem: A Comparison
Next Article in Special Issue
An Application of Hayashi’s Inequality for Differentiable Functions
Previous Article in Journal
Hilfer Fractional Quantum Derivative and Boundary Value Problems
Previous Article in Special Issue
Refinements of the Converse Hölder and Minkowski Inequalities
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Note of Jessen’s Inequality and Their Applications to Mean-Operators

1
Pakistan Navy Engineering College, National University of Sciences and Technology, Karachi 74000, Pakistan
2
Faculty of Science and Technology, University of Debrecen, 4001 Debrecen, Hungary
3
Département de Mathématiques, Faculté des Sciences de Tunis, Université Tunis El Manar, Tunis 1068, Tunisia
*
Author to whom correspondence should be addressed.
Mathematics 2022, 10(6), 879; https://doi.org/10.3390/math10060879
Submission received: 24 January 2022 / Revised: 16 February 2022 / Accepted: 23 February 2022 / Published: 10 March 2022
(This article belongs to the Special Issue Advances in Mathematical Inequalities and Applications)

Abstract

:
A variant of Jessen’s type inequality for a semigroup of positive linear operators, defined on a Banach lattice algebra, is obtained. The corresponding mean value theorems lead to a new family of mean-operators.

1. Introduction

The idea behind the main contents of this article is not very unusual but has been an active area of research in the present decade [1,2,3,4]. The theory of inequalities is not only limited to the real numbers or the basic real functions. In the past few years, the generalization of known inequalities to the operators has become the topic of active research in the field of applied analysis. In recent years, there has been considerable interest in the generalization of “functional-inequalities” and “type-inequalities” to the semigroups of operators defined on a Banach space [5,6]. Due to the mathematical structure and physical applications of operator semigroups, it is significant to find the new expressions and relations among them.
The Banach lattice was introduced to get a general abstract setting within which the ordering of elements can be considered. Therefore, the phenomena related to positivity can be generalized. For a detailed introduction to the Banach lattice, we refer our readers to the introductions of [5,6] and the references therein.
A linear mapping ψ : E E is said to be positive (denoted by: ψ 0 ) if ψ ( E + ) E + . The set of all positive linear mappings forms a convex cone in the space L ( E ) of all linear mappings from E into itself, defining the natural ordering of L ( E ) . The absolute value of ψ , if it exists, is given by
| ψ | ( f ) = sup { ψ ( h ) : | h | f } , ( f E + ) .
Thus ψ : E E is positive if and only if | ψ ( f ) | ψ ( | f | ) holds for any f E .
Each of the following definitions is used in our investigation.
Definition 1.
A (one parameter) C 0 -semigroup (or strongly continuous semigroup) of operators on a Banach space E is a family { S ( t ) } t 0 B ( E ) such that
(1) 
S ( s ) S ( t ) = S ( s + t ) for all s , t R + ;
(2) 
S(0)=I, the identity operator on E;
(3) 
for each fixed f E , S ( t ) f f (with respect to the norm on E) as t 0 + ,
where B ( E ) denotes the space of all bounded linear operators defined on a Banach space E.
Definition 2.
Let U be a nonempty open convex subset of E. An operator L : U E is convex if it satisfies
L ( t f + ( 1 t ) g ) t L ( f ) + ( 1 t ) L ( g ) ,
where f , g U and 0 t 1 .
The (infinitesimal) generator of { S ( t ) } t 0 is the densely defined closed linear operator A : E D ( A ) R ( A ) E such that
D ( A ) = { f : f E , lim t 0 + A t f exists in E }
A f = lim t 0 + A t f ( f D ( A ) )
where, for t > 0 ,
A t f = [ S ( t ) I ] f t ( f E ) .
Let { S ( t ) } t 0 be the strongly continuous positive semigroup, defined on a Banach lattice E. The positivity of the semigroup is equivalent to
| S ( t ) f | S ( t ) | f | , t 0 , f E .
For positive contraction semigroups { S ( t ) } t 0 , defined on a Banach lattice E, we have
( S ( t ) f ) + f + , for all f E .
For details, we refer the reader to [7]. The strongly continuous semigroup { S ( t ) } t 0 defined on unital Banach algebra X is called a normalized semigroup and satisfies [6]
[ S ( t ) ] ( e ) = e , for all t > 0
where e is identity in X .
Let D c ( E ) denote the set of all differentiable convex operators ϕ : E E . The following Jessen’s type inequality of c 0 -semigroup of operators has been proved in [6].
Theorem 1.
(Jessen’s Type Inequality) Let { S ( t ) } t 0 be the positive C 0 -semigroup on E such that it satisfies (2). For an operator ϕ D c ( E ) and t 0 ;
ϕ ( S ( t ) f ) S ( t ) ( ϕ f ) , f E .

2. Main Results

Our first main results are asserted in the following Theorem.
Theorem 2.
(Converse Jessen’s Type Inequality) Let { S ( t ) } t 0 be the positive C 0 -semigroup on E such that it satisfies (2). For an ordered interval K = [ u , U ] E , let ϕ : K E be a convex operator. Then, for all f E , such that u ϕ ( f ) U , we have
S ( t ) [ ϕ ( f ) ] U S ( t ) [ f ] U u ϕ ( u ) + S ( t ) [ f ] u U u ϕ ( U ) .
Proof. 
From the definition of convex functions, we have
ϕ ( x 2 ) x 3 x 2 x 3 x 1 ϕ ( x 1 ) + x 2 x 1 x 3 x 1 ϕ ( x 3 ) , ( x 1 x 2 x 3 , x 1 < x 3 )
Now, let x 1 = u , x 2 = f and x 3 = U ; we have
ϕ ( f ) U f U u ϕ ( u ) + f u U u ϕ ( U )
Since u , U , ϕ ( u ) and ϕ ( U ) are fixed in E, using the positivity and property (2), we finally reach the assertion (4). □
Now, let us consider the following example to present a better illustration.
Example 1.
Let E : = C ( R ) , S ( t ) t 0 be the left shift semigroup of operators defined on E. Let ϕ be the squaring operator; i.e, maps f to f 2 for each f E . Clearly, the existence of identity element e E such that e ( x ) = 1 for all x R is assured. Now, consider the function f : R R , defined as
f ( x ) = 1 1 + x 2 .
Clearly, 0 < f ( x ) 1 so set u ( x ) = 0 and U ( x ) = 1 for all x R and hence, ϕ ( u ) = 0 and ϕ ( U ) = 1 .
It follows that ϕ ( f ) = f and
( S ( t ) ϕ f ) ( x ) = 1 ( 1 + ( x + t ) 2 ) 2 1 1 1 + ( x + t ) 2 1 0 ( 0 ) + 1 1 + ( x + t ) 2 0 1 0 ( 1 ) = 1 1 + ( x + t ) 2 = S ( t ) f ( x ) ,
with equality at x = t . See Figure 1 below.
Next we present an extension of results in [8].
Theorem 3.
Let { S ( t ) } t 0 be the positive C 0 -semigroup on E such that it satisfies (2). Let ϕ be a continuous convex operator on an ordered interval K = [ u , U ] E ; then, for all f E such that ϕ ( f ) , ϕ ( u + U f ) E (so that u f U ), we have the following variant of Jessen’s inequality:
ϕ [ u + U S ( t ) ( f ) ] ϕ ( u ) + ϕ ( U ) S ( t ) ( ϕ ( f ) ) .
This actually gives a series of inequalities:
ϕ [ u + U S ( t ) ( f ) ] S ( t ) [ ϕ [ u + U ( f ) ] ] U S ( t ) ( f ) U u ϕ ( U ) + S ( t ) ( f ) u U u ϕ ( u ) ϕ ( u ) + ϕ ( U ) S ( t ) [ ϕ ( f ) ]
Proof. 
Let ψ ( f ) = ϕ [ u + U ( f ) ] , the continuity and convexity of ϕ imply the same for ψ : [ u , U ] E . Using Theorem 1,
ψ ( S ( t ) f ) S ( t ) ( ψ f ) , f E
or
ϕ [ u + U S ( t ) ( f ) ] ϕ ( u ) + ϕ ( U ) S ( t ) ( ϕ ( f ) ) .
Applying Theorem 2 to ψ and then to ϕ , we obtain
S ( t ) [ ϕ [ u + U ( f ) ] ] = S ( t ) [ ψ ( f ) ] U S ( t ) ( f ) U u ψ ( u ) + S ( t ) ( f ) u U u ψ ( U ) = U S ( t ) ( f ) U u ϕ ( U ) + S ( t ) ( f ) u U u ϕ ( u ) = ϕ ( u ) + ϕ ( U ) U S ( t ) ( f ) U u ϕ ( u ) + S ( t ) ( f ) u U u ϕ ( U ) ϕ ( u ) + ϕ ( U ) S ( t ) [ ϕ ( f ) ] ,
which completes the proof of Theorem 3. □
Let the arithmetic mean of the C 0 -semigroup { S ( t ) } t 0 defined on E be denoted as
m t ( f ) = m ( S , f , t ) = 1 t 0 t S ( τ ) f d τ , f E .
Corollary 1.
Let { S ( t ) } t 0 be the positive C 0 -semigroup on E such that it satisfies (2). Let ϕ be a continuous convex operator; then,
ϕ [ u + U m t ( f ) ] ϕ ( u ) + ϕ ( U ) m t ( ϕ ( f ) ) , f E .
Proof. 
Straightforward calculation would yield
ϕ [ u + U m t ( f ) ] = ϕ 1 t 0 t S ( τ ) u d τ + 1 t 0 t S ( τ ) U d τ 1 t 0 t S ( τ ) f d τ = ϕ 1 t 0 t S ( τ ) [ u + U f ] d τ 1 t 0 t ϕ [ S ( τ ) [ u + U f ] ] d τ 1 t 0 t S ( τ ) [ ϕ [ u + U f ] ] d τ ϕ ( u ) + ϕ ( U ) m t ( ϕ ( f ) ) .

3. Applications

In the sequel, we apply the Theorem 3 to generate inequalities involving power means and generalized means taking inspiration from [8].

3.1. Generalized Power Mean-Operators

Let { S ( t ) } t 0 be the positive C 0 -group on E such that it satisfies (2) and let f [ u , U ] E . Then, we define the generalized power mean as follows:
Q r ( S , f , t ) = [ S ( t ) [ f r ] ] 1 / r , r 0 exp [ S ( t ) [ log f ] ] , r = 0 .
Now, for r , s R , we present the following family of functions corresponding to the above-defined generalized power mean:
Q ¯ r ( S , f , t ) : = u r + U r S ( t ) ( f r ) 1 / r , r 0 u U exp [ S ( t ) ( log ( f ) ) ] , r = 0 ,
R ¯ r , s ( S , f , t ) : = S ( t ) ( [ u r + U r f r ] s r ) 1 / s , r 0 , s 0 exp S ( t ) ( log [ u r + U r f r ] 1 r ) , r 0 , s = 0 S ( t ) ( [ u U f ] s ) 1 s , r = 0 , s 0 exp S ( t ) ( log [ u U f ] ) , r = s = 0 ,
S ¯ r , s ( S , f , t ) : = U r S ( t ) ( f r ) U r u r . U s + S ( t ) ( f r ) u r U r u r . u s 1 / s , r 0 , s 0 exp U r S ( t ) ( f r ) U r u r . log U + S ( t ) ( f r ) u r U r u r . log u , r 0 , s = 0 log ( U ) S ( t ) ( log ( f ) ) log ( U ) log ( u ) . U s + S ( t ) ( log ( f ) log ( u ) ) log ( U ) log ( u ) . u s 1 / s , r = 0 , s 0 exp log ( U ) S ( t ) ( log ( f ) ) log ( U ) log ( u ) . log ( U ) + S ( t ) ( log ( f ) ) log ( u ) log ( U ) log ( u ) . log ( u ) , r = s = 0 ,
Theorem 4.
If r , s R and r s , then
Q ¯ r ( S , f , t ) Q ¯ s ( S , f , t ) .
Moreover,
Q ¯ r ( S , f , t ) R ¯ r , s ( S , f , t ) S ¯ r , s ( S , f , t ) Q ¯ s ( S , f , t ) .
Proof. 
We know that
u r f r U r .
Five cases are present: Case I: Let 0 < r s . Then
u r f r U r .
By applying Theorem 3 to the continuous convex operator ϕ , where
ϕ ( f ) = f s r , for all f E .
Then, we have
[ u r + U r S ( t ) ( f r ) ] s r S ( t ) [ u r + U r f r ] s r U r S ( t ) [ f r ] U r u r U s + S ( t ) ( [ f r ] ) u r U r u r u s u s + U s S ( t ) [ f s ]
Hence,
Q ¯ r ( S , f , t ) R ¯ r , s ( S , f , t ) S ¯ r , s ( S , f , t ) Q ¯ s ( S , f , t ) .
Case II: Let r s < 0 . Then we have,
U r f r u r .
By applying Theorem 3 to the continuous concave operator ϕ (observe that 0 < s r 1 ), where
ϕ ( f ) = f s r , f E .
Therefore,
[ U r + u r S ( t ) ( f r ) ] s r S ( t ) [ ( U r + u r f r ) s r ] u r S ( t ) ( f r ) u r U r . u s + S ( t ) ( f r ) U r u r U r . U s U s + u s S ( t ) ( f s ) .
Since r s < 0 , we get
[ u r + U r S ( t ) ( f r ) ] 1 r [ S ( t ) [ ( u r + U r f r ) s r ] ] 1 s [ U r S ( t ) ( f r ) U r u r U s + S ( t ) ( f r ) u r U r u r u s ] 1 s [ u s + U s S ( t ) ( f s ) ] 1 s .
Consequently,
Q ¯ r ( S , f , t ) R ¯ r , s ( S , f , t ) S ¯ r , s ( S , f , t ) Q ¯ s ( S , f , t ) .
Case III: Let r < 0 < s . Thus we get
U r f r u r .
From Theorem 3 to the continuous convex operator ϕ (observe that s r < 0 ), where
ϕ ( f ) = f s r , f E
we have
[ U r + u r S ( t ) ( f r ) ] s r S ( t ) [ ( U r + u r f r ) s r ] u r S ( t ) ( f r ) u r U r . u s + S ( t ) ( f r ) U r u r U r . U s U s + u s S ( t ) ( f s ) .
Moreover, since r s < 0 , it follows
[ u r + U r S ( t ) ( f r ) ] 1 r [ S ( t ) [ ( u r + U r f r ) s r ] ] 1 s [ U r S ( t ) ( f r ) U r u r U s + S ( t ) ( f r ) u r U r u r u s ] 1 s [ u s + U s S ( t ) ( f s ) ] 1 s .
Hence
Q ¯ r ( S , f , t ) R ¯ r , s ( S , f , t ) S ¯ r , s ( S , f , t ) Q ¯ s ( S , f , t ) .
Case IV: Let r < 0 , s = 0 . Again,
U r f r u r .
By means of Theorem 3 to the continuous concave operator ϕ , where
ϕ ( f ) = 1 r log f , f E .
we have
1 r log [ U r + u r S ( t ) ( f r ) ] S ( t ) ( 1 r log [ U r + u r f r ] ) u r S ( t ) ( f r ) u r U r . 1 r log ( u r ) + S ( t ) ( f r ) U r u r U r u s . 1 r log ( U r ) 1 r log ( U r ) + 1 r log ( u r ) S ( t ) ( 1 r log ( f r ) ) ,
which implies
log [ Q ¯ r ( S , f , t ) ] log [ R ¯ r , 0 ( S , f , t ) ] log [ S ¯ r , 0 ( S , f , t ) ] log [ Q ¯ 0 ( S , f , t ) ] .
Therefore,
Q ¯ r ( S , f , t ) R ¯ r , 0 ( S , f , t ) S ¯ r , 0 ( S , f , t ) Q ¯ 0 ( S , f , t ) .
Case V: Let r = 0 , s > 0 . Since
u f U ,
it follows
log ( u ) log ( f ) log ( U ) .
By applying Theorem 3 to the continuous convex operator ϕ , where
ϕ ( f ) = exp ( s f ) , f E .
We have
exp ( s ( log ( u ) + log ( M ) S ( t ) ( log ( f ) ) ) S ( t ) ( exp ( s ( log ( u ) + log ( U ) log ( f ) ) ) log ( U ) S ( t ) ( log ( f ) ) log ( U ) log ( u ) exp ( s log ( U ) ) + S ( t ) ( log ( f ) ) log ( u ) log ( U ) log ( u ) exp ( s log ( u ) ) exp ( s log ( u ) ) + exp ( s log ( U ) ) S ( t ) ( exp ( s log ( f ) ) ) ,
which implies
[ Q ¯ 0 ( S , f , t ) ] s [ R ¯ 0 , s ( S , f , t ) ] s [ S ¯ 0 , s ( S , f , t ) ] s [ Q ¯ s ( S , f , t ) ] s ,
and since s 0 , we get
Q ¯ 0 ( S , f , t ) R ¯ 0 , s ( S , f , t ) S ¯ 0 , s ( S , f , t ) Q ¯ s ( S , f , t ) .
Finally, in the case r = s = 0 , it follows
Q ¯ 0 ( S , f , t ) = R ¯ 0 , 0 ( S , f , t ) = S ¯ 0 , 0 ( S , f , t ) .
Corollary 2.
Let
m t ( T , f ) = 1 t 0 t T ( τ ) f d τ
be the arithmetic mean for C 0 group, and let u T ( τ ) f U . Let S ( t ) be defined as S ( t ) ( f ) = m t ( T , f ) . Then, for any continuous convex operator ϕ : [ u , U ] E , and any r , s R with r s ,the inequality (11) holds.

3.2. Generalized Mean-Operators

In this section, we assume the following assertions:
  • (i). E denotes unital Banach lattice algebra;
  • (ii). S ( t ) is a positive bounded linear operator satisfying (2);
  • (iii). ψ , χ are continuous and strictly monotonic operators on [ u , U ] E , such that ψ , χ are invertible;
  • (iv). ψ ( f ) , χ ( f ) , χ ( ψ 1 ( ψ ( u ) + ψ ( U ) ψ ( f ) ) ) E .
Under the above-stated assumptions, we define the generalized mean of f with respect to the operator S ( t ) , belonging to the C 0 semigroup family, and ψ by,
M ψ ( S , f ) = ψ 1 ( S ( t ) ( ψ ( f ) ) ) .
Note that if ψ ( u ) ψ ( f ) ψ ( U ) , then by (2), we have,
ψ ( u ) S ( t ) ( ψ ( T ( τ ) f ) ) ψ ( U ) ,
so that M ψ is well defined. Now, let us define
M ¯ S , f = ψ 1 ( ψ ( u ) + ψ ( U ) S ( t ) ( ψ ( f ) ) ) .
From assumption (iv), we see that
ψ ( u ) ψ ( u ) + ψ ( U ) S ( t ) ( ψ ( T ( τ ) f ) ) ψ ( U ) .
Consequently, M ¯ T , f , S is well defined.
Theorem 5.
Assume that hypotheses (i)–(iv) are satisfied. If either χ ψ 1 is convex and χ is strictly increasing or χ ψ 1 is concave and χ is strictly decreasing, then
M ¯ ψ ( S , f ) M ¯ χ ( S , f ) .
Furthermore, the following inequalities hold true:
M ¯ ψ ( S , f ) χ 1 [ ( S ( t ) ( ψ 1 ( ψ ( u ) + ψ ( U ) ψ ( f ) ) ) ) ] χ 1 ( ψ ( U ) S ( t ) ( ψ ( f ) ) ψ ( U ) ψ ( u ) χ ( U ) + S ( t ) ( ψ ( f ) ψ ( u ) ) ψ ( U ) ψ ( u ) χ ( u ) ) M ¯ χ ( S , f ) .
In addition, if either χ ψ 1 is concave and χ is strictly increasing or χ ψ 1 is convex and χ is strictly decreasing, then the inequality (13) is reversed.
Proof. 
Since ψ is strictly monotonic and u f U , we have
ψ ( u ) ψ ( f ) ψ ( U ) .
Now suppose that χ ψ 1 is convex. Letting ϕ = χ ψ 1 in Theorem 3, we get
χ ψ 1 ( ψ ( u ) + ψ ( U ) S ( t ) ( ψ ( f ) ) ) S ( t ) ( ( χ ψ 1 ) ( ψ ( u ) + ψ ( U ) ψ ( f ) ) ) ψ ( U ) S ( t ) ( ψ ( f ) ) ψ ( U ) ψ ( u ) ( χ ψ 1 ) ( ψ ( U ) ) + S ( t ) ( ψ ( f ) ψ ( u ) ) ψ ( U ) ψ ( u ) ( χ ψ 1 ) ( ψ ( u ) ) ( χ ψ 1 ) ( ψ ( u ) ) + ( χ ψ 1 ) ( ψ ( U ) ) S ( t ) ( ( χ ψ 1 ) ( ψ ( f ) ) ) .
Alternatively, we have
( χ ( ψ 1 ( ψ ( u ) + ψ ( U ) S ( t ) ( ψ ( f ) ) ) ) S ( t ) ( χ ( ψ 1 ( ψ ( u ) + ψ ( U ) ψ ( f ) ) ) ) ψ ( U ) S ( t ) ( ψ ( f ) ) ψ ( U ) ψ ( u ) ( χ ( U ) ) + S ( t ) ( ψ ( f ) ψ ( u ) ) ψ ( U ) ψ ( u ) ( χ ( u ) ) ( χ ( u ) ) + ( χ ( U ) ) S ( t ) ( χ ( f ) ) .
Finally, by the same method, we have the reverse of inequalities (14) if χ ψ 1 is concave. □
Remark 1.
If χ is strictly increasing, then the inverse function χ 1 is also strictly increasing, so (14) implies (13). If χ is strictly decreasing, then the inverse function χ 1 is also strictly decreasing, and so the reverse of (14) implies (13) (i.e., χ ψ 1 is concave). Similarly, if either χ ψ 1 is convex and χ is strictly decreasing or χ ψ 1 is concave and χis strictly increasing, we get the reverse of (13).
Remark 2.
Upon setting in Theorem 5
ψ ( f ) : = f r , r 0 ln ( f ) , r = 0
and
χ ( f ) : = f s , s 0 ln ( f ) , s = 0 ,
we get Theorem 4.

Author Contributions

All authors contributed equally and significantly in writing this paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bakry, D. Functional Inequalities for Markov Semigroups. Probability Measures on Groups; Mubai, 91-147. <Hal-00353724>; Tata Institute of Fundamental Research: Mumbai, India, 2004. [Google Scholar]
  2. Wang, F.-Y. Functional Inequalities, Markov Semigroups and Spectral Theory; Science Press: Beijing, China, 2005. [Google Scholar]
  3. Wang, F.-Y. Harnack Inequalities for Stochastic Partial Differential Equations; Springer: Heildleberg, Germany; New York, NY, USA, 2013. [Google Scholar]
  4. Siddiqi, J.; Elkoutri, A. Norm Inequalities for Generators of Analytic Semigroups and Cosine Operator Functions. Can. Math. Bull. 1989, 32, 47–53. [Google Scholar] [CrossRef] [Green Version]
  5. Aslam, G.I.H.; Anwar, M. Cauchy Type Means on One-Parameter C0-Group of Operators. J. Math. Inequal. 2015, 9, 631–639. [Google Scholar] [CrossRef]
  6. Aslam, G.I.H.; Anwar, M. Jessen’s Type Inequality and Exponential Convexity for Operator Semigroups. J. Inequal. Appl. 2015, 2015, 353. [Google Scholar] [CrossRef] [Green Version]
  7. Nagel, R. (Ed.) One-Parameter Semigroups of Positive Operators; Lecture Notes in Mathematics; Springer: Berlin/Heidelberg, Germany, 1986; Volume 1184. [Google Scholar]
  8. Cheung, W.S.; Matkovic, A.; Pecaric, J. A Variant of Jessen’s Inequality and Generalized Means. J. Ineq. Pure and Appl. Math. 2006, 7, 10. [Google Scholar]
Figure 1. Visualization of converse Jessen’s type inequality.
Figure 1. Visualization of converse Jessen’s type inequality.
Mathematics 10 00879 g001
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Aslam, G.I.H.; Ali, A.; Mehrez, K. A Note of Jessen’s Inequality and Their Applications to Mean-Operators. Mathematics 2022, 10, 879. https://doi.org/10.3390/math10060879

AMA Style

Aslam GIH, Ali A, Mehrez K. A Note of Jessen’s Inequality and Their Applications to Mean-Operators. Mathematics. 2022; 10(6):879. https://doi.org/10.3390/math10060879

Chicago/Turabian Style

Aslam, Gul I Hina, Amjad Ali, and Khaled Mehrez. 2022. "A Note of Jessen’s Inequality and Their Applications to Mean-Operators" Mathematics 10, no. 6: 879. https://doi.org/10.3390/math10060879

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop