Abstract
Here, we study strong differential subordinations for the extended new operator defined by the Hadamard product of the extended multiplier transformation and the extended Ruscheweyh derivative , on the class of normalized analytic functions , by ,
1. Introduction
Different types of operators have been used from early on in the study of complex functions. Among the advantages of using operators is the possibility of giving easier proofs of already known results but also facilitating the emergence of new, original research. The best-known operators are integral and differential operators. The first integral operator was introduced in 1915 [1] by Alexander. A very well-known integral operator was introduced by Libera in 1965; Bernardi then generalized it in 1969 [2]. Some of the best-known differential operators are the one used for obtaining the original results of the present paper, introduced by Ruscheweyh in 1975 [3], and Sălăgean’s differential operator, introduced in 1983 [4]. Recent studies have been conducted combining these two kinds of operators, obtaining differential–integral operators, such as seen in [5,6,7]. Convolution operators having numerous applications have been introduced, such as the Dziok–Srivastava operator [8], Srivastava–Wright operator [9], the operator introduced in [10] and the operator used in the present paper, defined in [11]. The monograph [12] and the paper [13], as well as the research performed in [14], give hints as to how the differential operator method is linked to partial differential equations and their applications.
For the research presented in the present paper, the following notions are necessary.
Consider the unit disc of the complex plane, the closed unit disc of the complex plane and the class of analytic functions in denoted .
Let
where are holomorphic functions in for and
for and are holomorphic functions in for
J.A. Antonino and S. Romaguera defined in [15] the notion of strong differential subordinations, which was developed by G.I. Oros and Gh. Oros in [16,17].
Definition 1.
([16]) Let , be analytic in The function is said to be strongly subordinate to if there exists a function w analytic in U, with and , such that for all . In such a case, we write
Remark 1.
([16]) (i) Since is analytic in , for all and univalent in for all , Definition 1 is equivalent to for all and
(ii) If and the strong subordination becomes the usual notion of subordination.
The concept of differential subordination was introduced in [18,19] by S.S. Miller and P.T. Mocanu. The main results related to the theory of differential subordination can be found in [20] and we next recall some basic definitions as given in this monograph.
Definition 2.
([20]) Let . The function f is said to be subordinate to F, if there exists a Schwarz function analytic in U, with and , such that . In such a case, we write . If F is univalent, then if and only if and .
Definition 3.
([20]) Let and let h be univalent in U. If p is analytic and satisfies the differential subordination
then p is called a solution of the differential subordination. The univalent function q is called a dominant of the solutions of the differential subordination, or, more simply, a dominant, if for all p satisfying (1). A dominant that satisfies for all dominants q of (1) is said to be the best dominant of (1).
In studying the strong differential subordinations, we will use the following lemmas.
Lemma 1.
([21]) Let be a convex function with for every and let be a complex number with . If and
then
where is convex and it is the best dominant.
Lemma 2.
([21]) Let be a convex function in , for all and let
where and n is a positive integer. If
is holomorphic in and
then
and this result is sharp.
The author extended in [22,23] the multiplier transformation ([24]) and, respectively, the Ruscheweyh derivative ([3]) to the new class of analytic functions introduced in [17].
Definition 4.
([22]) For , , the operator is defined by the following infinite series:
Remark 2.
([22]) The operator verifies the property
, .
Definition 5.
([23]) For , the operator is defined by ,
Remark 3.
([23]) If , , then
,
The author also extended in [11] the differential operator obtained as a convolution product (Hadamard product) of multiplier transformation and the Ruscheweyh derivative ([25,26]) to the class .
Definition 6.
([11]) Let and . Denote by the extended operator given by the Hadamard product of the extended multiplier transformation and the extended Ruscheweyh derivative , ,
Remark 4.
([11]) If , then
Remark 5.
For , , we obtain the operator studied in [27], and for and we obtain the operator studied in [28].
The symmetry properties of the functions used in defining an equation or inequality could be studied to determine solutions with particular properties. Regarding the differential subordinations or strong differential subordinations, which are some inequalities, the study of special functions, given their symmetry properties, could provide interesting results. Studies on the symmetry properties for different types of operators associated with the concept of quantum computing could also be investigated in a future paper.
2. Main Results
Definition 7.
Consider , and . A function belongs to the class if the inequality
is satisfied.
Theorem 1.
Let g be a convex function in such that and , with and . If , and then
implies
and this result is sharp.
Proof.
We have
and differentiating it with respect to z, we obtain , which implies the relation
which, by differentiating with respect to z, gives
Applying Lemma 2, we obtain the sharp result
equivalently with
□
Theorem 2.
Let and . If , and is given by Theorem 1, then
with and
Proof.
For , Lemma 1 gives
equivalently with
and
g being convex and being symmetric with respect to the real axis, we obtain
□
Theorem 3.
Let g be a convex function in , and , . If , and
the strong differential subordination holds; then,
and this result is sharp.
Proof.
Consider and
, ,
Put
Differentiating it with respect to z, we can write , ,
Relation (11) becomes and Lemma 2 allows us to write , , which is equivalent with , □
Theorem 4.
Let h be a convex function in with . If , and
the strong differential subordination holds; then,
where the convex best dominant is .
Proof.
For , we can write
, ,
Define
Differentiating it with respect to z, we obtain , , and the strong differential subordination from the hypothesis becomes , , Applying Lemma 1 for we obtain , , and is the best dominant and it is convex. It is equivalent with , □
Corollary 1.
Consider and the convex function in . If and
the strong differential subordination holds; then,
where g is the convex best dominant in given by
Proof.
Considering , the strong differential subordination (13) becomes
and for , Lemma 1 implies , , , which is equivalent with
□
Theorem 5.
Let g be a convex function in such that and , . If , and
the strong differential subordination holds; then,
and this result is sharp.
Proof.
We can write , . for
Consider
We have and
Relation (14) can be written as , , and applying Lemma 2, we obtain , , which is equivalent with , □
Theorem 6.
Let g be a convex function in such that and , , . If and
the strong differential subordination holds; then,
and this result is sharp.
Proof.
For denote .
We have and, after a short computation,
Therefore,
We obtain , . Lemma 2 implies , , , which is equivalent with , a sharp result. □
Theorem 7.
Let h be a convex function in with . If , and
the strong differential subordination holds; then,
where the convex best dominant is .
Proof.
For , denote and .
Differentiating with respect to z, we can write that
and the strong differential subordination from the hypothesis can be written , .
We can apply Lemma 1 for since and we obtain , , , i.e., , , and is the convex best dominant. □
Corollary 2.
Let and the convex function in . If and
the strong differential subordination holds; then,
where the convex best dominant g is given by
Proof.
Considering , the strong differential subordination (17) becomes
Applying Lemma 1 for , we obtain , , , which is equivalent with
□
3. Discussion
Generalizing the concept of differential subordination and using the operator defined by using the multiplier transformation and Ruscheweyh operator, further study is carried out and new strong subordinations are obtained, also giving their best dominant. Interesting corollaries are stated using particular functions as the best dominant of the strong subordinations studied in the theorems described in this paper. Using the strong subordination and strong superordination for some differential operators, we can obtain some new properties of the studied operators. The operator can be applied for the introduction of other subclasses of analytic functions and further investigations related to symmetry properties, distortion theorems, coefficient estimates, neighborhoods and the radii of starlikeness, closure theorems, convexity or close-to-convexity of functions from the defined class can be performed.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The author declares no conflict of interest.
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