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Abstract

Geometric properties of starlike functions associated with a balloon-shaped domain studied. Sharp bounds derived for Zalcman functionals, Krushkal inequality, and Hankel and Toeplitz determinants.

Results & Lemmas (13)

Each result is auto-extracted from the paper via OCR - the math is shown verbatim and may carry occasional transcription artifacts. Click to expand the full statement.

Lemma 2.1 Lemma 2.1. [ ](#page-18-8) Let p ∈ Pand of the form [ ](#page-3-0). Then, the following inequality hold true
Lemma 2.1. [\[2,](#page-17-7) [17\]](#page-18-8) Let p ∈ Pand of the form [\(2.1\)](#page-3-0). Then, the following inequality hold true $$|p_{n+k} - \mu p_n p_k| \le 2 \max\{1, |2\mu - 1|\} = \begin{cases} 2, & \text{if } 0 \le \mu \le 1, \\ 2|2\mu - 1|, & \text{Otherwise.} \end{cases}$$
Lemma 2.2 Lemma 2.2. [ ](#page-18-10) Let p ∈ P. Then for some ρ, γ and η such that |ρ| ≤ 1, |γ| ≤ 1 and |η| ≤ 1.
Lemma 2.2. [\[11,](#page-18-9) [13\]](#page-18-10) Let p ∈ P. Then $$p_{2} = \frac{1}{2} \left( p_{1}^{2} + \gamma (4 - p_{1}^{2}) \right),$$ $$p_{3} = \frac{1}{4} \left( p_{1}^{3} + 2p_{1} (4 - p_{1}^{2}) \gamma - p_{1} (4 - p_{1}^{2}) \gamma^{2} + 2(4 - p_{1}^{2}) (1 - |\gamma|^{2}) \eta \right),$$ $$p_{4} = \frac{1}{8} \left( p_{1}^{4} + (4 - p_{1}^{2}) \gamma \left( p_{1}^{2} (\gamma^{2} - 3\gamma + 3) + 4\gamma \right) - 4(4 - p_{1}^{2}) (1 - |\gamma|^{2}) \left( p_{1} (\gamma - 1) \eta + \overline{\gamma} \eta^{2} - (1 - |\eta|^{2}) \rho \right) \right),$$ for some ρ, γ and η such that |ρ| ≤ 1, |γ| ≤ 1 and |η| ≤ 1.
Lemma 2.3 Lemma 2.3. [ ](#page-18-12) Let w ∈ H, are said to be schwarz function such that w(0) = 0 and |w(z)| < 1 for all z ∈ D, and have the…
Lemma 2.3. [\[22,](#page-18-11) [23\]](#page-18-12) Let w ∈ H, are said to be schwarz function such that w(0) = 0 and |w(z)| < 1 for all z ∈ D, and have the following series: $$w(z) = \sum_{n=1}^{\infty} b_n z^n \tag{2.2}$$ Then, the following inequalities hold true $$|b_1| \leq 1,$$ $$|b_2| \leq 1 - |b_1|^2,$$ $$|b_3| \leq 1 - |b_1|^2 - \frac{|b_2|^2}{1 + |b_1|},$$ $$|b_4| \leq 1 - |b_1|^2 - |b_2|^2.$$
Theorem 2.4 · radius Theorem 2.4. The radius of convexity for the function B(z) is given by
Theorem 2.4. The radius of convexity for the function B(z) is given by $$r_c = 1 - 1/e \approx 0.63212.$$
Lemma 2.5 Lemma 2.5. (Function Bounds) Let and denote the real and imaginary part of the function respectively and given as Then we have - (i) at…
Lemma 2.5. (Function Bounds) Let $B_R(\theta)$ and $B_I(\theta)$ denote the real and imaginary part of the function $B(e^{i\theta})$ respectively and given as $$B_R(\theta) = \frac{1 - \log(2\cos\theta/2)}{(1 - \log(2\cos\theta/2))^2 + (\theta/2)^2}, \quad and \quad B_I(\theta) = \frac{\theta/2}{(1 - \log(2\cos\theta/2))^2 + (\theta/2)^2}. \quad (2.4)$$ Then we have - (i) $0 < \Re(B(z)) < 1/(1 \log 2) \approx 3.25889$ at $\theta = 0$ and $\pi$ , we get maximum and minimum of $B_R(\theta)$ respectively. - (ii) $|\Im(B(z))| \le B_I(\theta_0) \approx 1.41379$ at $\theta_0 = 0.524085$ . (iii) $|\arg(B(z))| \le \left|\arctan\left(\frac{\theta_0/2}{1-\log(2\cos\theta_0/2)}\right)\right| \approx 0.88329$ at $\theta_0 = 1.37501$ . (iv) $|B(z)| \le \left|\frac{1}{1-\log(1+r)}\right|$ , where |z| = r < 1. $$(iv) |B(z)| \le \left| \frac{1}{1 - \log(1+r)} \right|, where |z| = r < 1$$ These bounds are best possible. We now study the geometric extent of the image domain $B(\mathbb{D})$ via disk containment. In particular, we determine the largest disk contained in $B(\mathbb{D})$ and the smallest disk containing $B(\mathbb{D})$ .
Theorem 2.6 · radius Theorem 2.6. For, then we have (1) and, is the root of the given equation with,. (2) Proof. Let, where and are defined in (2.4), represents…
Theorem 2.6. For $B(z) = 1/(1 - \log(1+z))$ , then we have (1) $\mathbb{D}_L := \{w : |w - a| < r_a\} \subset B(\mathbb{D}), where$ $$r_a = \begin{cases} \sqrt{d(\theta_a)}, & 0 < a < \frac{2 - \log 2}{(1 - \log 2)(3 - \log 2)}, \\ \frac{1}{1 - \log 2} - a, & \frac{2 - \log 2}{(1 - \log 2)(3 - \log 2)} \le a < \frac{1}{1 - \log 2}. \end{cases}$$ and $\theta_a \in (0,\pi)$ , is the root of the given equation $$\sin B(a(A^2 - B^2) - A) + B\cos B(2aA - 1) = 0, (2.5)$$ with $A := 1/(1 - \log(2\cos(\theta/2)))$ , $B := \theta/2$ . (2) $B(\mathbb{D}) \subset \{w : |w-a| < R_a\} =: \mathbb{D}_S, \text{ where }$ $$R_a = \begin{cases} \frac{1}{1 - \log 2} - a, & 0 < a < \frac{1}{2(1 - \log 2)}, \\ a, & \frac{1}{2(1 - \log 2)} \le a < \frac{1}{1 - \log 2}. \end{cases}$$ Proof. Let $B(e^{i\theta}) = B_R(\theta) + iB_I(\theta)$ , where $B_R(\theta)$ and $B_I(\theta)$ are defined in (2.4), represents the boundary of $B(\mathbb{D})$ and is symmetric about real axis. Take $d(\theta)$ denote the square of the distance of (a,0) from the points on the curve $B(e^{i\theta})$ is given by $$d(\theta) := a^2 + \frac{1 - 2aA}{A^2 + B^2}.$$ where A and B are given in (2.5). (1) We'll start with $\{w: |w-a| < r_a\} \subset B(\mathbb{D})$ . For $0 < a < \frac{2-\log 2}{(1-\log 2)(3-\log 2)}$ , $$d'(\theta) = \frac{\sin B(a(A^2 - B^2) - A) + B\cos B(2aA - 1)}{\cos B(A^2 + B^2)^2} = 0,$$ A mathematical computation shows that $d'(\theta)$ changes sign exactly at $\theta_a$ , where $\theta_a$ is the root of the equation $$\sin B(a(A^2 - B^2) - A) + B\cos B(2aA - 1) = 0.$$ Since $d'(\theta) < 0$ for $\theta \in (0, \theta_a)$ and $d'(\theta) > 0$ for $\theta \in (\theta_a, \pi)$ , we get $d(\theta)$ is decreasing in $(0, \theta_a)$ and increasing in $(\theta_a, \pi)$ . For the largest disk inside $B(\mathbb{D})$ , we need $r_a = \min_{\theta \in [0, \pi]} \sqrt{d(\theta)}$ . Therefore $$\min_{\theta \in [0,\pi]} d(\theta) = d(\theta_a) \implies r_a = \sqrt{d(\theta_a)}.$$ For $\frac{2-\log 2}{(1-\log 2)(3-\log 2)} \le a < \frac{1}{1-\log 2}$ , $d'(\theta) \ge 0$ for all $\theta \in (0,\pi)$ , hence $d(\theta)$ is monotonic increasing. Therefore, we get $$\min_{\theta \in [0,\pi]} d(\theta) = d(0) = \left(\frac{1}{1 - \log 2} - a\right)^2 \implies r_a = \frac{1}{1 - \log 2} - a.$$ (2) For $B(\mathbb{D}) \subset \{w : |w-a| < R_a\}$ , we need to find the smallest disk that contain $B(\mathbb{D})$ , we need $R_a = \sup_{\theta \in [0,\pi]} \sqrt{d(\theta)}$ . For $0 < a < \frac{1}{2(1-\log 2)}$ , the supremum of $d(\theta)$ over $[0,\pi]$ is $$\sup_{\theta \in [0,\pi]} d(\theta) = d(0) = \left(\frac{1}{1 - \log 2} - a\right)^2 \implies R_a = \frac{1}{1 - \log 2} - a.$$ For $\frac{1}{2(1-\log 2)} \le a < \frac{1}{1-\log 2}$ , $d(\theta) \le a^2$ for all $\theta \in (0,\pi)$ . Hence $R_a = a$ . This completes the proof. Remark 2.7. The largest disk $\mathbb{D}_L := \{w : |w - a_1| < r_{a_1}\}$ contained in $B(\mathbb{D})$ is obtained when $a_1 \approx 1.90$ and $r_{a_1} = 1/(1 - \log 2) - 1.90 \approx 1.3589$ , such that $\mathbb{D}_L \subset B(\mathbb{D})$ . And the smallest disk $\mathbb{D}_S := \{w : |w - a_2| < R_{a_2}\}$ containing $B(\mathbb{D})$ , is obtained when $a_2 \approx 1.6295$ and $R_{a_2} \approx 1.6295$ , such that $B(\mathbb{D}) \subset \mathbb{D}_S$ as shown in Figure 1. ![](_page_6_Figure_4.jpeg) FIGURE 1. Visualization of the image $B(\mathbb{D})$ under the mapping $B(z) = 1/(1 - \log(1+z))$ , together with the largest inscribed disk and the smallest disk containing $B(\mathbb{D})$ . The parameters $a_1$ and $a_2$ denote the centers of the respective disks on the real axis.
Theorem 2.8 · coeff Theorem 2.8. Let, then This inequality is sharp.
Theorem 2.8. Let $f \in \mathcal{S}_B^*$ , then $$|a_2^2 - a_3| \le \frac{1}{2}.$$ This inequality is sharp.
Theorem 2.9 · coeff Theorem 2.9. Let, then This inequality is sharp.
Theorem 2.9. Let $f \in \mathcal{S}_B^*$ , then $$|a_3^2 - a_5| \le \frac{1}{4}.$$ This inequality is sharp.
Theorem 2.10 Theorem 2.10. Let, then This inequality is sharp.
Theorem 2.10. Let $f \in \mathcal{S}_B^*$ , then $$|H_{3,1}(f)| \le \frac{1}{9}.$$ This inequality is sharp.
Theorem 2.11 · coeff Theorem 2.11. Let, then This inequality is sharp.
Theorem 2.11. Let $f \in \mathcal{S}_B^*$ , then $$|a_4 - a_2^3| \le \frac{17}{36}.$$ This inequality is sharp.
Theorem 2.12 · coeff Theorem 2.12. Let, then This inequality is sharp.
Theorem 2.12. Let $f \in \mathcal{S}_B^*$ , then $$|a_5 - a_2^4| \le \frac{187}{288}.$$ This inequality is sharp.
Theorem 2.13 Theorem 2.13. Let. Then The above estimate is sharp.
Theorem 2.13. Let $f \in \mathcal{S}_B^*$ . Then $$|T_{3,1}(f)| \le 1.$$ The above estimate is sharp.
Theorem 2.14 Theorem 2.14. Let, then This inequality is sharp.
Theorem 2.14. Let $f \in \mathcal{S}_B^*$ , then $$-\frac{1}{16} \le H_{3,1}^T(f) \le 1.$$ This inequality is sharp.
Function classes studied:

Coefficient bounds & claims (9)

Machine-extracted from the paper text - useful for cross-referencing, not a verified fact.
coefficient_bound
|a2^2 - a3| (Zalcman n=2) ≤ 1/2 for class S*_B (sharp) [Theorem 2.8]
coefficient_bound
|a3^2 - a5| (Zalcman n=3) ≤ 1/4 for class S*_B (sharp) [Theorem 2.9]
coefficient_bound
|H_{3,1}(f)| third Hankel determinant ≤ 1/9 for class S*_B (sharp) [Theorem 2.10]
coefficient_bound
|a4 - a3^2| (Krushkal n=4) ≤ 17/36 for class S*_B (sharp) [Theorem 2.11]
coefficient_bound
|a5 - a4^2| (Krushkal n=5) ≤ 187/288 for class S*_B (sharp) [Theorem 2.12]
coefficient_bound
|T_{3,1}(f)| third Toeplitz determinant ≤ 1 for class S*_B (sharp) [Theorem 2.13]
coefficient_bound
HT_{3,1}(f) Hermitian-Toeplitz upper bound ≤ 1 for class S*_B (sharp) [Theorem 2.14]
coefficient_bound
HT_{3,1}(f) Hermitian-Toeplitz lower bound ≤ -1/16 for class S*_B (sharp) [Theorem 2.14]
function_family
Class S*_B: f in A: zf'(z)/f(z) subordinate to 1/(1-log(1+z)) := B(z), z in D

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