Directional convexity of harmonic mappings
Subzar Beig, V. Ravichandran

TL;DR
This paper investigates the convolution properties of harmonic functions in the unit disk, establishing conditions under which the convolution is univalent and convex in a specified direction, extending previous results to broader function classes.
Contribution
It introduces new convolution results for harmonic functions involving harmonic shearing and extends prior work to larger classes of functions.
Findings
Convolution $f*F$ is univalent and convex in the direction of $-mu$ under certain conditions.
Local-univalence of the convolution is established for specific analytic dilatations.
If $g\equiv0$ and both functions are convex, then their convolution is convex.
Abstract
The convolution properties are discussed for the complex-valued harmonic functions in the unit disk constructed from the harmonic shearing of the analytic function , where and are real numbers. For any real number and harmonic function , define an analytic function . Let and be real numbers, and and be locally-univalent and sense-preserving harmonic functions such that . It is shown that the convolution is univalent and convex in the direction of , provided it is locally univalent and sense-preserving. Also, local-univalence of the above convolution is shown for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAnalytic and geometric function theory
directional convexity of harmonic mappings
SUBZAR BEIG
Department of Mathematics, University of Delhi, Delhi–110 007, India
and
V. Ravichandran
Department of Mathematics, University of Delhi, Delhi–110 007, India
Abstract.
The convolution properties are discussed for the complex-valued harmonic functions in the unit disk constructed from the harmonic shearing of the analytic function , where and are real numbers. For any real number and harmonic function , define an analytic function . Let and be real numbers, and and be locally-univalent and sense-preserving harmonic functions such that . It is shown that the convolution is univalent and convex in the direction of , provided it is locally univalent and sense-preserving. Also, local-univalence of the above convolution is shown for some specific analytic dilatations of and . Furthermore, if and both the analytic functions and are convex, then the convolution is shown to be convex. These results extends the work done by Dorff et al. to a larger class of functions.
Key words and phrases:
harmonic mappings; convex mappings; convolution; directional convexity.
2010 Mathematics Subject Classification:
31A05; 30C45
The first author is supported by a Junior Research Fellowship from University Grants Commission, New Delhi, India.
1. Introduction
Let be the class of all complex-valued harmonic functions defined on the unit disk . Such functions can be expressed as , where and are analytic functions on and are respectively known as analytic and co-analytic parts of . We consider the functions to be the normalized one, that is functions in satisfy the conditions, . Let be the sub-class of consisting of all univalent harmonic functions, and let . The sub-classes , and of (resp. , and of ), which maps respectively onto convex, starlike and close-to-convex domains, were studied by Cluine and Sheil-Small in [cluine]. With the co-analytic part , the class reduces to , the class of all normalized analytic univalent mappings in . The classes , and (respectively known as convex, starlike and close-to-convex analytic functions) are respectively the sub-classes of , and , consisting of all functions with . One of the important fields in the geometric function theory is the study of the convolution (or Hardmard product) of functions. Let the functions and be analytic in , with the Taylor series expansion as:
[TABLE]
Then the convolution of and is defined as:
[TABLE]
Also, the convolution of two harmonic functions and is defined as: , and the convolution of the analytic function with the harmonic function is defined as: .
In [rusch], Ruscheweyh and Sheil-Small showed that the class is closed under convolution. That is, if the functions , , then the function . However, such a result is not true for the corresponding class of harmonic functions. In the case of harmonic mappings, the convolution need not be univalent. In this direction Cluine and Sheil-Small proposed the problem, known as multiplier problem: if the function , then what are the functions such that ? This problem was partially solved by Ruscheweyh and Salins in [rushsalin]. In Section 3, we prove that the convolution of some analytic convex functions with non-convex harmonic functions belongs to . In particular, it is shown that the convolution of the analytic function function with the locally univalent and sense-preserving harmonic function , satisfying , is convex. Another important class, which is of our interest as well in this paper, is the class of univalent functions convex in a particular direction. A domain is said to be convex in the direction of , if every line parallel to the line joining origin to the point has connected intersection with . If (or ; such a domain is said to be convex in the direction of real (or imaginary) axis. A function is said to be convex in some direction, if it maps to a domain which is convex in that particular direction. Such functions are close to convex. Functions convex in every direction are convex functions. In [cluine], Cluine and Sheil-Small gave a result, which gives a method known as method of Shear Construction, to check the convexity in a particular direction or convexity of harmonic functions. In particular, they gave the following result.
Lemma 1.1**.**
[cluine]* A locally univalent and sense-preserving harmonic function on is univalent and maps onto a domain convex in the direction of if and only if the analytic mapping is univalent and maps onto a domain convex in the direction of .*
A function is known as a right half-plane mapping, if it maps onto the right half-plane . For , a function that maps onto the vertical strip
[TABLE]
is known as a vertical strip mapping, and the class of all such mappings is denoted by . Such mappings; and satisfy the following, (see [abu, dorffvstrip])
[TABLE]
and
[TABLE]
If is the analytic dilatation of the function , that is , then, in view of (1.1), we get
[TABLE]
This right half-plane mapping acts as extremal function for many problems for the class of convex harmonic functions, (see for example [cluine]). Also, in [dnowak], it is shown that, for real, a function that maps onto the slanted half-plane satisfy
[TABLE]
Such a mapping is known as a slanted half-plane mapping, and the class of all such mappings is denoted by . If , the above mapping is a right half-plane mapping. We prove a similar result for the strip mappings. For and real number , if a function maps onto the slanted strip
[TABLE]
we call it as a slanted strip mapping and denote the class of all such mappings by . Clearly . Following result gives an explicit description of such mappings.
Lemma 1.2**.**
If the function , then
[TABLE]
Proof.
Let the function . Then, the function maps onto the vertical strip , and hence the function
[TABLE]
where , maps onto the vertical strip . Also, normalization of gives that . Therefore, the function . Hence, (1.2) gives
[TABLE]
Substituting the values of and from (1.5) and replacing by in the above equation, we get the desired result. ∎
Using Lemma 1.1, Dorff [dorff] studied the directional convexity of the convolution of right half-plane and vertical strip mappings. Later on, Dorff et al.[dnowak] extended such study to slanted half-plane mappings as well. In these papers the problem of directional convexity of the convolution of such functions is actually reduced to the local univalence and sense-preservity of the convolution function. In fact, they proved the following results.
Lemma 1.3**.**
[dnowak]* Let the function , . Then the function and is convex in the direction of , if it is locally univalent and sense-preserving in .*
Lemma 1.4**.**
[dnowak]* Let the function be a right half-plane mapping and the function be a strip mapping as defined above. Then the function and is convex in the direction of the real axis, if it is locally univalent and sense-preserving in .*
Furthermore, after fixing the function to be the right half-plane mapping defined in (1.3), they proved the local univalence of the convolution function for some special analytic dilatations of the function . In fact by using the above two lemmas, they proved the following results.
Theorem 1.5**.**
[dnowak]* Let the function be the right half-plane mapping given by (1.3) and the function be a slanted half-plane mapping. If is the analytic dilation of , then, for and , the convolution and is convex in the direction of real axis.*
Theorem 1.6**.**
[dnowak]* Let the function be the right half-plane mapping given by (1.3) and the function be a vertical strip mapping. If is the analytic dilation of , then, for and , the convolution and is convex in the direction of real axis.*
Later on, in [lipona] Li and Ponnusamy improved the above two results and proved the following results.
Theorem 1.7**.**
[lipona]* Let the function be the right half-plane mapping given by (1.3). Also, let the function be a slanted half-plane mapping and , be its analytic dilation. Then the convolution is univalent and convex in the direction of , if*
- (1)
* and , or* 2. (2)
* and .*
Theorem 1.8**.**
[lipona]* Let the function be the right half-plane mapping given by (1.3). Also, let function be a vertical strip mapping and , be its analytic dilation. Then the convolution is univalent and convex in the direction of real axis, if*
- (1)
* and , or* 2. (2)
* and .*
In this direction, we find out that the results in Lemma 1.3 and Lemma 1.4 depend upon the convolution of functions in the right-hand sides of (1.1), (1.2) and (1.4). In fact, we find out that such results work for a larger class of functions, which can be determined by taking the harmonic shears of the convex functions which upon convolution gives the function , (see Theorem 2.3). Also, in last theorem, we investigate the local univalence of the convolution of such functions for some choices of analytic dilatations of these functions. In this theorem, not only we consider a larger class of functions than those considered in the above results, but we also vary the function which is taken to be fixed right half-plane mapping in the above results.
2. Main Results
We will begin this section with the following theorem, which will be useful in finding out the local univalence of the convolution of harmonic functions.
Theorem 2.1**.**
Let the harmonic functions and be locally univalent and sense-preserving in such that, for some real numbers and , the functions , . Also, let any analytic function satisfying
[TABLE]
where , implies that is convex in the direction of . Then the convolution is univalent and convex in the direction of , if it is locally univalent and sense-preserving.
Proof.
Consider the functions and defined by
[TABLE]
A calculation shows that
[TABLE]
where
[TABLE]
Since the function is locally univalent and sense-preserving, its dilatation satisfies for . Hence, for . Also, the function and the function . Therefore, in view of (2.1), a result in [rusch] gives
[TABLE]
Similarly we will get
[TABLE]
In view of (2.2) and (2.3), the function defined by
[TABLE]
satisfies
[TABLE]
Therefore, by assumption in the statement of the theorem, the function is univalent and convex in the direction of . The result now follows by invoking Lemma 1.1. ∎
Now we recall a result of Royster and Zeigler [royster] for checking the directional convexity of analytic functions.
Theorem 2.2**.**
[royster]* Let be a non-constant analytic function in . Then maps onto a domain convex in the direction of imaginary axis if and only if there are real numbers and , such that*
[TABLE]
Since a function is convex in the direction if and only if the function is convex in the direction of imaginary axis, Theorem 2.2 gives the following criteria for a function to be convex in the direction of .
Theorem 2.3**.**
Let be a non-constant analytic function in . Then maps onto a domain convex in the direction of if and only if there are real numbers and , such that
[TABLE]
Using Theorem 2.1 and Theorem 2.3, we get the following result.
Theorem 2.4**.**
Let the functions and be locally univalent and sense-preserving harmonic mappings in such that for some real numbers and , the functions , and
[TABLE]
Then the convolution is univalent and convex in the direction of , if it is locally univalent and sense-preserving.
Let the function , . Then, by (1.4), the functions , and satisfy
[TABLE]
which is equivalent to (2.7) with . Therefore, by Theorem 2.4, the convolution is univalent and convex in the direction of , if it is locally univalent and sense-preserving. Also, let the function be a right half-plane mapping and the function be a strip mapping. Then, by (1.1) and (1.2), the functions , and satisfy
[TABLE]
which is equivalent to (2.7) with . Therefore, by Theorem 2.4, the convolution is univalent and convex in the direction of real axis, if it is locally univalent and sense-preserving. The above discussion shows that the Theorem 2.4 is a generalization of both Lemma 1.3 and Lemma 1.4.
The problem of interest now is to find out whether the solutions of (2.7) exists or not. In other words, whether right hand side of (2.7) can be written as convolution of two functions in the class or not. We will show that such solutions exists. Since the function is convolution identity, for every function in such solutions exists. So in order to prove that the solutions exist for (2.7), it is enough to prove that the right hand side of (2.7) is in
Let, for some real numbers and satisfying and ,
[TABLE]
Clearly the function is analytic on . Now, on differentiating (2.8), we get
[TABLE]
Again, on differentiating (2.9), we get
[TABLE]
Using (2.9) and (2.10), we see for ,
[TABLE]
Also, and . Therefore, the function .
3. Convolution of convex mappings
Let be the set of analytic functions in which are convex in the direction of . The set DCP represents all analytic functions in such that the convolution for every and every . Ruscheweyh and Salins [rushsalin] gave a partial proof of the multiplier problem, given in the introduction, and proved the following.
Theorem 3.1**.**
[rushsalin]* Let the function be analytic in . Then the convolution for all the functions if and only if the function .*
Above result talks of convex harmonic functions. Next two results provides us examples in which we see convolution of some analytic convex functions with some non-convex harmonic functions is convex. These functions are actually determined implicitly by a class of analytic convex functions. Here the non-convex harmonic functions considered satisfy for some real number .
Theorem 3.2**.**
Let the function and the function be a locally univalent and sense-preserving harmonic function such that for some real number ,
[TABLE]
Then the convolution is univalent and convex in the direction of . Furthermore, if the function is convex in the direction of for some real number , then the convolution is also convex in the direction of .
Proof.
In view of Lemma 1.1, it is enough to show that the function is locally univalent and sense-preserving, or by Lewy’s theorem it reduces to showing that its dilatation satisfies on . First, we note that
[TABLE]
Since the function is locally univalent and sense-preserving, therefore on , or equivalently on . Also, the function and the function . Therefore, in view of (3.2), a result in [rusch] gives on , or equivalently on . ∎
Next result provides examples for Theorem 3.2.
Theorem 3.3**.**
Let the function and the function be a locally univalent and sense-preserving harmonic mapping in such that for some real numbers and , the function and
[TABLE]
Then the convolution .
Proof.
Clearly the functions and satisfy the assumptions in Theorem 3.1, and hence the convolution is univalent. In order to prove the result, in view of Lemma 1.1, it suffices to show that the function is convex in the direction for all ranging in an interval of length . In other words, it is sufficient to show that the function is convex in the direction for all such that . Consider the case . Since is univalent, its dilation lies in and hence
[TABLE]
Using above inequality, we have
[TABLE]
Now, (3.3) gives . Therefore, in view of (3.4), Theorem 2.3 after taking shows that the function is convex in the direction of for all such that . Taking in Theorem 2.3 and proceeding similarly as above for the case . ∎
Remark 3.4*.*
Theorem 3.3 shows that the local-univalence assumption of the function in Theorem 2.4 can be removed, if . That is, if the function .
