Convexity in one direction of convolutions and linear combination of harmonic functions
Subzar Beig, V. Ravichandran

TL;DR
This paper investigates the convexity properties of convolutions of harmonic functions and introduces conditions under which linear combinations of these functions are convex along the imaginary axis.
Contribution
It establishes new convexity results for convolutions of harmonic functions with specific dilatations and introduces a family of harmonic mappings with convexity conditions.
Findings
Convolution of certain harmonic functions is convex in a specified direction.
Convexity in the direction of linear combinations of harmonic functions is characterized.
A new family of univalent harmonic mappings with convexity conditions is proposed.
Abstract
We show that the convolution of the harmonic function , where having analytic dilatation , with the mapping , where , is convex in the direction . We also show that the convolution of with the right half-plane mapping having dilatation is convex in the direction . Finally, we introduce a family of univalent harmonic mappings and find out sufficient conditions for convexity along imaginary-axis of the linear combinations of harmonic functions of this family.
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Taxonomy
TopicsAnalytic and geometric function theory · Differential Equations and Boundary Problems · Mathematical functions and polynomials
10.1080/0278107YYxxxxxxxx \issn1563-5066 \issnp0278-1077 \jvol00 \jnum00 \jyear2012 \jmonthDecember
Convexity in one direction of convolution and convex combinations of harmonic functions
Subzar Beig and V. Ravichandran*∗*
*Department of Mathematics, University of Delhi, Delhi–110 007, India
∗Corresponding author. Email: [email protected]
(v3.0 released December 2012)
Abstract
We show that the convolution of the harmonic function , where having analytic dilatation , with the mapping , where , is convex in the direction . We also show that the convolution of with the right half-plane mapping having dilatation is convex in the direction . Finally, we introduce a family of univalent harmonic mappings and find out sufficient conditions for convexity along imaginary-axis of the linear combinations of harmonic functions of this family.
{classcode}
Primary 31A05; Secondary 30C45
keywords:
Convexity; convexity in one direction; convolution; dilatation; convex combination
††articletype: RESEARCH ARTICLE
1 Introduction
The complex-valued harmonic function on the unit disk can be written as , where and are analytic functions and are respectively known as analytic and co-analytic parts of . By Lewy’s theorem, the function is locally univalent and sense-preserving if and only if and the dilatation is bounded by one on . Let denote the class of all harmonic, sense-preserving and univalent mappings defined on normalized by the conditions and . Additionally, if the function satisfies , then the class of such functions is denoted by . The sub-classes of and consisting of functions mapping onto convex domains are respectively denoted by and . For , let denote the class of all harmonic functions that maps onto . In [1], Dorff * et al.* showed that if then
[TABLE]
A domain is said to be convex in direction if every line parallel to the line joining [math] and lies completely inside or outside the domain . If , such a domain is called convex in the horizontal direction (CHD for short). The convolution (or Hadamard product) of two analytic functions , with Taylor series expansions
[TABLE]
is defined by , and the harmonic convolution of the functions and is defined by Consider the harmonic mapping , , where
[TABLE]
Also, we see from (2) . Therefore, \operatorname{Re}\big{(}\emph{e}^{\textit{i}\alpha}f_{a,\alpha}(\emph{e}^{\textit{i}\alpha}z)\big{)}>-1/2 and hence , as is a right half-plane mapping. Therefore, (1) gives
[TABLE]
The convolution of univalent convex harmonic function is not necessarily convex harmonic and it need not even be univalent. Convexity in one direction of the convolution of mappings in the class were studied in [1, 2, 3, 9].
Lemma 1.1**.**
[1, Theorem 2, p.491]** Let . If is locally univalent and sense-preserving in , then and is convex in the direction
Lemma 1.2**.**
[9, Theorem 7, p.268]** Let is a right half-plane mapping given by , and for , let be a strip mapping given by . If is locally univalent and sense-preserving, then and is convex in the direction of the real axis.
Lemma 1.3**.**
[2, Theorem 1.1]** Let with dilatation and , where , are given by (2). If , then and is convex in the direction .
Lemma 1.4**.**
[3, Theorem 2.2]** Let , where , are given by (2). If is a right half-plane mapping given by with dilatation , then and is CHD for
In this paper, we generalize the result in Lemma 1.4 by showing that the convolution is convex in the direction of the mappings as given by (2) with , satisfying with the dilatation . We also find the values of , for the convolution of with the right half-plane mapping having dilatations and to be convex in the direction of . Finally, we study convex combination of mappings from a family of locally-univalent and sense-preserving mappings obtained by shearing of h(z)+g(z)=\big{(}z(1+z^{2})(1+z^{4})...(1+z^{2^{n}}+\alpha z^{2^{n-1}})/(1+z^{2^{n+1}})\big{)}*\log({1/(1-z)}),n\in\mathbb{N},\alpha\in[-1,1], for different choices of the dilatation .
2 Main Results
We begin this section with the following lemma, which gives a relation among the dilatations of harmonic mappings and their convolution.
Lemma 2.1**.**
Let the function be harmonic mapping, where , are given by (2). If is the dilatation of slanted right half-plane mapping , then the dilatation of is given by
[TABLE]
Proof 2.2**.**
Let the function be a harmonic mapping with the dilatation and let . A calculation shows that
[TABLE]
and
[TABLE]
and the dilatation of is given by
[TABLE]
Since, and is its dilatation, we have
[TABLE]
The above two equations in (6) together gives
[TABLE]
Now, using the expressions of and given by (7) and (8) in place of and in (5) and replacing by , we get the desired expression for the dilatation of the convolution .
Theorem 2.3**.**
Let the function be harmonic mapping, where , are given by (2). If is the dilatation of slanted right half-plane mapping , then the function and is convex in the direction for
Proof 2.4**.**
Since
[TABLE]
therefore we have
[TABLE]
Let be the dilatation of the function . Therefore, we have by above equation
[TABLE]
In order to prove the result, by Lemma 1.1, we just need to show that . Equation (9) shows it is enough to prove the result for , that is to show . Now, by Lemma 2.1 we have
[TABLE]
Substitute in the above equation, we get
[TABLE]
Put and . Then by using , we get
[TABLE]
where corresponds to By Lemma 1.4, and hence (20) gives .
In the next two theorems, we consider the right half-plane mapping with dilatations and , and examine its convolution properties with the mapping , where , are given by (2). The proof of these results requires the following lemma due to Cohn.
Lemma 2.5**.**
(Cohn’s rule)[4]. Given a polynomial of degree n, let
[TABLE]
Denote by and , the number of zeros of inside and on the unit circle respectively. If , then
[TABLE]
is of degree and has and number of zeros inside and on the unit circle respectively.
Theorem 2.6**.**
Let the function be the harmonic right hal-plane mapping with , and the dilatation . If the function is harmonic right half-plane mapping, where , are given by (2), then the function and is convex in the direction of real-axis.
Proof 2.7**.**
If , the result follows from Lemma 1.3, so we consider the case . By Lemma 1.1, we only need to show that the dilatation of the function is bounded by one in . From (9), we see it is enough to prove the result for . Let be dilatation of the function . Setting and in Lemma 2.1, we get
[TABLE]
Therefore, if are zeros of , then are zeros of , and hence we can write (21) as
[TABLE]
*Thus, in order to show that , it is enough to show that
Consider the polynomial given by*
[TABLE]
Since , by Cohn’s rule, the number of zeros of the polynomial in is one less than that of the polynomial . Again, consider the polynomial given by
[TABLE]
Since , by Cohn’s rule, the number of zeros of the polynomial in is one less than that of the polynomial . Also, consider the polynomial given by
[TABLE]
Since for , by Cohn’s rule the number of zeros of the polynomial in is one less than that of the polynomial . Finally, is zero of the polynomial for . Therefore, it follows that all the four zeros of the polynomial lies in , and hence .
Theorem 2.8**.**
Let the function be the harmonic right half-plane mapping with , and the dilatation . If the function is harmonic right half-plane mapping, where , are given by (2), then the function and is convex in the direction of real-axis.
Proof 2.9**.**
If , the result follows from Lemma 1.3, so we consider the case . By Lemma 1.1, we only need to show that the dilatation of the function is bounded by one in . From (9), we see it is enough to prove the result for . Let be the dilatation of the function . Setting and in Lemma 2.1, we get
[TABLE]
and Therefore, if are zeros of , then are zeros of , and hence we can write (22) as
[TABLE]
*We shall show that by proving that for
Consider the polynomial given by*
[TABLE]
Since , by Cohn’s rule the number of zeros of the polynomial in is one less than that of the polynomial . Again, consider the polynomial given by
[TABLE]
Since for , by Cohn’s rule the number of zeros of the polynomial in the the is one less than that of the polynomial . Also, consider the polynomial given by
[TABLE]
where
[TABLE]
For , both and are positive, and the difference of the term from the term is , which is also positive on the interval . Therefore, for , and hence by Cohn’s rule the number of zeros of the polynomial in is one less than that of the polynomial . Finally, on and hence the zero of the polynomial lies in . Therefore, all the four zeros of the polynomial lies in , and hence .
In the next theorem, we examine the convexity along real axis of the convolution of the mapping , where , are given by (2), with the strip mapping instead of right half-plane mapping.
Theorem 2.10**.**
Let the function be harmonic mapping given by
[TABLE]
with the dilatation . If the function is harmonic right-half plane mapping, where , are given by (2), then the function and is convex in the direction of real axis.
Proof 2.11**.**
Since, we have and , it follows that
[TABLE]
Using the above expressions for and , by (5) the dilatation of the function reduces to
[TABLE]
Substituting in above equation, we get , and hence on . The result now follows from Lemma 1.2.
3 Linear Combination of Harmonic mappings.
Before going into the detail in this section, we first introduce a result due to Hengartner and Schober for checking the convexity of analytic functions in the direction of imaginary-axis, and a result due to Clunie and Sheil-small for constructing univalent harmonic mapping convex in given direction. These results will be of interest in this section.
Lemma 3.1**.**
[5, Theorem 1, p.304]** Suppose is analytic and non-constant mapping in , then
[TABLE]
if and only if
- (1)
* is univalent in *
- (2)
* is convex in the direction of imaginary axis, and*
- (3)
there exists sequences and converging to and , respectively, such that
[TABLE]
[TABLE]
Lemma 3.2**.**
[6]** A locally univalent harmonic mapping on is univalent mapping of onto a domain convex in the direction of if and only if is univalent analytic mapping of onto a domain convex in the direction of .
Wang et al. gave a sufficient condition of univalency for the convex combination of two harmonic univalent functions and . Indeed, they have proved the following:
Theorem 3.3**.**
[7, Theorem 3, p.455]** If the function satisfies for , then the convex combination , , is univalent and convex in the direction of real axis.
Kumar et al. [8] introduce a locally univalent and sense-preserving harmonic functions given by , , with the dilatation , and proved the following:
Theorem 3.4**.**
[8, Theorem 2.7]** For , let the function be normalized harmonic mapping satisfying , . If and are the dilatations respectively of the mappings and , then their convex combination , , belongs and is convex in the direction of imaginary axis provided
Theorem 3.5**.**
[8, Theorem 2.9]** For , let the function be normalized harmonic mapping satisfying , . Let and be the dilatations respectively of mappings and , with . Let , , be convex combination of and . Then, we have
- (1)
If and then is in and is convex in the direction of imaginary axis.
- (2)
If and and then is in and is convex in the direction of imaginary axis.
For , , we will introduce a family of locally univalent and sense-preserving harmonic mappings , given by
[TABLE]
with the dilatation . In this section, we will study the convexity in the direction of real axis of convex combinations of mappings in this family. First, we check the convexity in the direction of real axis of the functions . Differentiating (23), we get
[TABLE]
Now, upon putting , and using (24), we see
[TABLE]
if
[TABLE]
Since for , the first term in the above sum is non-negative, the second and the third terms are positive, therefore
[TABLE]
and hence
[TABLE]
Therefore, by Lemma 3.1, is analytic and convex in the direction of imaginary axis, and hence Lemma 3.2 implies that the function and is convex in the direction of imaginary axis.
In the next theorem, we will show that, for the convex combination of the functions to be convex in the direction of imaginary axis, it is sufficient for this combination to be local univalent and sense-preserving.
Theorem 3.6**.**
For let the function be normalized harmonic mapping, satisfying h_{\alpha_{i},n}(z)+g_{\alpha_{i},n}(z)=\big{(}z(1+z^{2})(1+z^{4})\dots(1+z^{2^{n}}+\alpha_{i}z^{2^{n-1}})/(1+z^{2{n+1}})\big{)}*\log{1/(1-z)},\alpha_{i}\in[-2(\sqrt{2}-1),2(\sqrt{2}-1)],n\in\mathbb{N} and in . Then the convex combination is in and is convex in the direction of of imaginary axis, provided is locally univalent and sense-preserving.
Proof 3.7**.**
We have . Let , and , . Now by using , we have
[TABLE]
Therefore, by Lemma 3.1, the function is analytic and convex in the direction of imaginary axis, and hence Lemma 3.2 shows that the function and is convex in the direction of imaginary axis.
Lemma 3.8**.**
For and let the function be the normalized harmonic mapping, such that h_{\alpha_{i},n}(z)+g_{\alpha_{i},n}(z)=\big{(}z(1+z^{2})(1+z^{4})\dots(1+z^{2^{n}}+\alpha_{i}z^{2^{n-1}})/(1+z^{2{n+1}})\big{)}*\log{1/(1-z)}, and with in . Then for the dilatation of the convex combination , is given by
[TABLE]
where
[TABLE]
Proof 3.9**.**
As , and therefore the dilatation of the function is given by
[TABLE]
Also, we have
[TABLE]
Differentiating the above equation, and using , we get
[TABLE]
Similarly, we see
[TABLE]
Now, using the above expressions for and in (27), we get the desired result.
For in Lemma 3.8, (26) reduces to
[TABLE]
Theorem 3.10**.**
For and , let the function be the normalized harmonic mapping such that h_{i,n}(z)+g_{i,n}(z)=\big{(}z(1+z^{2})(1+z^{4})\dots(1+z^{2^{n}}+\alpha z^{2^{n-1}})/(1+z^{2^{n+1}})\big{)}*\log{1/(1-z)}, and having dilatation If in , then the convex combination , belongs to and is convex in the direction of imaginary axis.
Proof 3.11**.**
In view of the Theorem 3.6, we only need to show that the function is locally univalent and sense-preserving. Let be the dilatation of the function . Setting in (28), we get
[TABLE]
Therefore, from [7, Theorem 3], we get . Hence the function is locally univalent and sense-preserving.
In the next three theorems, we examine the convexity in the direction of imaginary axis of the convex combinations of functions , having different dilatations.
Theorem 3.12**.**
For and let the function be normalized harmonic mapping satisfying h_{\alpha_{i},n}(z)+g_{\alpha_{i},n}(z)=\big{(}z(1+z^{2})(1+z^{4})\dots(1+z^{2^{n}}+\alpha_{i}z^{2^{n-1}})/(1+z^{2{n+1}})\big{)}*\log{1/(1-z)}, . If and are dilatations respectively of the functions and , then the convex combination , belongs to and is convex in the direction of imaginary axis provided
Proof 3.13**.**
In view of Theorem 3.6, we only need to show that the function is locally univalent and sense-preserving. Let be the dilatation of the function . Using and in (28), we get
[TABLE]
Put in above equation, we get
[TABLE]
which is the dilatation of the function in the Theorem 3.4, with replaced by , see [8, Theorem 2.7]. Therefore, . Hence the function is locally univalent and sense-preserving.
Theorem 3.14**.**
For and let the function be the normalized harmonic mapping satisfying h_{\alpha,n}(z)+g_{\alpha,n}(z)=\big{(}z(1+z^{2})(1+z^{4})\dots(1+z^{2^{n}}+\alpha z^{2^{n-1}})/(1+z^{2{n+1}})\big{)}*\log{1/(1-z)},\alpha_{i}\in[-2(\sqrt{2}-1),2(\sqrt{2}-1)]. If and are dilatations respectively of and , then for the convex combination we have
- (1)
If and then the function belongs to and is convex in the direction of imaginary axis.
- (2)
If and and then the function belongs to and is convex in the direction of imaginary axis.
Proof 3.15**.**
In view of Theorem 3.6, we only need to show that the function is locally univalent and sense-preserving. Let be the dilatation of the function . Using and in (28), we get
[TABLE]
Put , above equation gives
[TABLE]
which is the dilatation of the function in the Theorem 3.5, with replaced by . Therefore, . Hence the function is locally univalent and sense-preserving. Part follows similarly.
Theorem 3.16**.**
For and let the function be the normalized harmonic mapping satisfying h_{\alpha,n}(z)+g_{\alpha,n}(z)=\big{(}z(1+z^{2})(1+z^{4})\dots(1+z^{2^{n}}+\alpha z^{2^{n-1}})/(1+z^{2{n+1}})\big{)}*\log{1/(1-z)}, . If and are dilatations respectively of functions and , then the convex combination , belongs to and is convex in the direction of imaginary axis, provided
Proof 3.17**.**
For , the result is proved in Theorem 3.10, so we consider the case . Also, for , the result has been already shown in the discussion proceeding the Theorem 3.5, so we will prove it for the case . Let be the dilatation of the function . Using and in (28), we get
[TABLE]
Take , above equation gives
[TABLE]
Therefore, if are zeros of , then are zeros the of the polynomial , and we can write as
[TABLE]
*Thus, to show that , it is enough to show ,
Consider the polynomial given by*
[TABLE]
Since , by Cohn’s rule the number of zeros of the polynomial in is one less than that of the polynomial . Again, consider the polynomial given by
[TABLE]
Since , by Cohn’s rule the number of zeros of the polynomial in is one less than that of the polynomial . Also, consider the polynomial given by
[TABLE]
Since , by Cohn’s rule the number of zeros of the polynomial in is one less than that of the polynomial . Now, for the zeros of in , consider
[TABLE]
Thus, on , by Rouche’s theorem all the three zeros of lie in . Hence, we see that all the six zeros of the polynomial lie in . Therefore, . The result now follows from Theorem 3.6.
Upon looking at the Theorems 2.6, 2.8 and 2.10, we can propose the following questions.
- (1)
To find the values of and , such that the result in the Theorem 2.6 holds if we take
- (2)
To find the values of and such that the result in the Theorem 2.8 holds if we take .
- (3)
To find the values of and such that the result in the Theorem 2.10 holds if we take .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[2] L. Li and S. Ponnusamy, Convolutions of slanted half-plane harmonic mappings, Analysis (Munich) 33 (2013), no. 2, 159–176. MR 3082279
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- 4[4] Q. I. Rahman and G. Schmeisser, Analytic theory of polynomials , London Mathematical Society Monographs. New Series, 26, Oxford Univ. Press, Oxford, 2002.
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