Abstract
Sharp lower and upper bounds of the second- and third-order Hermitian Toeplitz determinants for the class of -convex functions were found. The symmetry properties of the arithmetic mean underlying the definition of -convexity and the symmetry properties of Hermitian matrices were used.
1. Introduction
Let be the class of all analytic functions in and be its subclass of functions f of the form:
Let be the subclass of of all univalent functions.
For let denote the subclass of of all functions f satisfying the condition:
The class was introduced by Mocanu [1] and its elements are called -convex (see also [2] [Volume I, pp. 142–147]). For , the condition (2) describes the class of starlike functions denoted by introduced by Alexander [3] ([4], as can also be seen in [2] [Volume I, Chapter 8]). For , the condition (2) specifies the class of convex functions denoted by defined by the study [5] (see also [2] [Volume I, Chapter 8]). Thus, the classes create a “continuous passage” on from the set of convex functions to the set of starlike functions One can see that the range of can be extended to the real axis as well to the complex plane. In [1], Mocanu presented a geometrical interpretation of functions in the class In [6], it was observed that for every This result can be found in the paper due to Sakaguchi [7] that was published before the advent of the -convexity concept (cf. [2] [Volume I. pp. 142–143]). Furthermore, in [6], the authors have shown that for every The class plays an important role in the geometric function theory and was studied by various authors (e.g., [8,9] [Chapter 7] with further references).
For by with of the form (1), define the matrix:
where In case, is a real number, is the Hermitian Toeplitz matrix. Thus, the matrix is like this. In particular:
In recent years, many papers have been devoted to the estimation of determinants whose entries are coefficients of functions in the class or its subclasses. Hankel matrices, i.e., square matrices which have constant entries along the reverse diagonal (see, e.g., [10,11,12], with further references), and the symmetric Toeplitz matrices (see [13]), are of particular interest.
For this reason, considering the interest of specialists, in [14,15,16], the estimation of the determinants of the Hermitian Toeplitz matrices on the class or its subclasses was started. Hermitian Toeplitz matrices play an important role in functional analysis, applied mathematics as well as in physics and technical sciences. Let us mention that only a few papers have been published that concern the estimation of Hermitian Toeplitz determinants in the basic subclasses of univalent functions. This is a new issue and it is important to find such estimates for the class of -convex functions, which are among the most important in geometric function theory. This paper was dedicated to finding the sharp lower and upper bounds of the second- and third-order Hermitian Toeplitz determinants for the class
Let be the class of all of the form:
which have a positive real part.
In the proof of the main result, we will use the following lemma which contains the Carathéodory result for [17], and the well-known formula for (e.g., [18] [p. 166]).
Lemma 1.
Observe that for each where i.e., is rotationally invariant.
Recall now the following observation [15].
Theorem 1.
Let be a subclass of such that and exists. Then:
Both inequalities are sharp.
2. Main Results
We now compute the sharp bounds of and in the class of -convex functions.
Let . In view of (11), we see that with the extremal function satisfying:
i.e., for with the function:
called -convex Koebe function, and for with the Koebe function:
Hence, and by observing that the identity function belongs to the class , by Theorem 1, we have:
Theorem 2.
Let . If , then:
Both inequalities are sharp.
Particularly, for and i.e., for starlike and convex functions, we have the following result [14].
Corollary 1.
- If , then:
- If , then:
All inequalities are sharp.
Now, we will compute the upper and lower bounds of
Theorem 3.
Let . If , then:
where is the unique root in of the equation:
and:
All inequalities are sharp.
Proof.
Fix and let be of the form (1). Then, by (2):
for a certain of the form (4). Substituting the series (1) and (4) into (10), by equating the corresponding coefficients, we obtain:
Since the class and the determinant are rotationally invariant, by (5), we may assume that i.e., that . Furthermore, (3) with (11), (5) and (6) give:
for some
Define:
for and
If then for a unique Thus, by (12):
If then by (12):
Therefore, we will find the maximum and minimum value of
A. First, we show the inequality (8). We have:
for and
A1. For
A2. Let Set:
(a) Note that if and only if Then, by (15) with we obtain:
(b) Assume now that
Observe that if and only if Then:
for Since the inequality:
is equivalent to:
which holds for we deduce that:
Now, we consider the case which holds only for Then:
for Since the inequality:
is equivalent to:
which holds for we deduce that:
A3. Comparing (16), (18) and (19) with leads to the inequality:
equivalently written:
which holds for where Hence, by (13)–(15), (17), we obtain (8).
B. Now, we show the inequality (9). We have:
for and
B1. For
B2. Let Set:
Since we have:
For let:
We see that and if and only if:
which holds for Therefore:
for
C. It remains to show the sharpness of all results. The first inequality in (8) is sharp for the function given by (7) for which by (11),
The identity function is extremal for the second inequality in (8).
Particularly, for and we obtain the following result [14].
Corollary 2.
- If , then:
- If , then:
All inequalities are sharp.
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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