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.
MSC:
47D03; 46B42; 43A35; 43A17
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 [,,,]. 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 [,]. 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 [,] and the references therein.
A linear mapping is said to be positive (denoted by: ) if . The set of all positive linear mappings forms a convex cone in the space of all linear mappings from E into itself, defining the natural ordering of . The absolute value of , if it exists, is given by
Thus is positive if and only if holds for any .
Each of the following definitions is used in our investigation.
Definition 1.
A (one parameter) -semigroup (or strongly continuous semigroup) of operators on a Banach space E is a family such that
- (1)
- for all ;
- (2)
- S(0)=I, the identity operator on E;
- (3)
- for each fixed , (with respect to the norm on E) as ,
where 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 is convex if it satisfies
where and .
The (infinitesimal) generator of is the densely defined closed linear operator such that
where, for ,
Let be the strongly continuous positive semigroup, defined on a Banach lattice E. The positivity of the semigroup is equivalent to
For positive contraction semigroups , defined on a Banach lattice E, we have
For details, we refer the reader to []. The strongly continuous semigroup defined on unital Banach algebra X is called a normalized semigroup and satisfies []
where e is identity in
Let denote the set of all differentiable convex operators . The following Jessen’s type inequality of -semigroup of operators has been proved in [].
Theorem 1.
(Jessen’s Type Inequality) Let be the positive -semigroup on E such that it satisfies (2). For an operator and ;
2. Main Results
Our first main results are asserted in the following Theorem.
Theorem 2.
(Converse Jessen’s Type Inequality) Let be the positive -semigroup on E such that it satisfies (2). For an ordered interval , let be a convex operator. Then, for all , such that , we have
Proof.
Now, let us consider the following example to present a better illustration.
Example 1.
Let , be the left shift semigroup of operators defined on E. Let ϕ be the squaring operator; i.e, maps f to for each . Clearly, the existence of identity element such that for all is assured. Now, consider the function , defined as
Clearly, so set and for all and hence, and .
Figure 1.
Visualization of converse Jessen’s type inequality.
Next we present an extension of results in [].
Theorem 3.
Let be the positive -semigroup on E such that it satisfies (2). Let ϕ be a continuous convex operator on an ordered interval ; then, for all such that (so that ), we have the following variant of Jessen’s inequality:
This actually gives a series of inequalities:
Proof.
Let , the continuity and convexity of imply the same for . Using Theorem 1,
or
Applying Theorem 2 to and then to , we obtain
which completes the proof of Theorem 3. □
Let the arithmetic mean of the -semigroup defined on E be denoted as
Corollary 1.
Let be the positive -semigroup on E such that it satisfies (2). Let ϕ be a continuous convex operator; then,
Proof.
Straightforward calculation would yield
□
3. Applications
In the sequel, we apply the Theorem 3 to generate inequalities involving power means and generalized means taking inspiration from [].
3.1. Generalized Power Mean-Operators
Let be the positive -group on E such that it satisfies (2) and let . Then, we define the generalized power mean as follows:
Now, for we present the following family of functions corresponding to the above-defined generalized power mean:
Theorem 4.
If and , then
Moreover,
Proof.
We know that
Five cases are present:
Case I: Let . Then
By applying Theorem 3 to the continuous convex operator , where
Then, we have
Hence,
Case II: Let . Then we have,
By applying Theorem 3 to the continuous concave operator (observe that ), where
Therefore,
Since we get
Consequently,
Case III: Let . Thus we get
From Theorem 3 to the continuous convex operator (observe that ), where
we have
Moreover, since it follows
Hence
Case IV: Let Again,
By means of Theorem 3 to the continuous concave operator , where
we have
which implies
Therefore,
Case V: Let Since
it follows
By applying Theorem 3 to the continuous convex operator , where
We have
which implies
and since , we get
Finally, in the case it follows
□
Corollary 2.
Let
be the arithmetic mean for group, and let Let be defined as . Then, for any continuous convex operator and any with ,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). is a positive bounded linear operator satisfying (2);
- (iii). are continuous and strictly monotonic operators on , such that are invertible;
- (iv).
Under the above-stated assumptions, we define the generalized mean of f with respect to the operator , belonging to the semigroup family, and by,
Note that if , then by (2), we have,
so that is well defined. Now, let us define
From assumption (iv), we see that
Consequently, is well defined.
Theorem 5.
Assume that hypotheses (i)–(iv) are satisfied. If either is convex and χ is strictly increasing or is concave and χ is strictly decreasing, then
Furthermore, the following inequalities hold true:
In addition, if either is concave and χ is strictly increasing or is convex and χ is strictly decreasing, then the inequality (13) is reversed.
Proof.
Since is strictly monotonic and , we have
Now suppose that is convex. Letting in Theorem 3, we get
Alternatively, we have
Finally, by the same method, we have the reverse of inequalities (14) if is concave. □
Remark 1.
If χ is strictly increasing, then the inverse function is also strictly increasing, so (14) implies (13). If χ is strictly decreasing, then the inverse function is also strictly decreasing, and so the reverse of (14) implies (13) (i.e., is concave). Similarly, if either is convex and χ is strictly decreasing or is concave and χis strictly increasing, we get the reverse of (13).
Remark 2.
Upon setting in Theorem 5
and
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.
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