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Mathematics & Statistics

Volume 50 (6) (2021), 1667 – 1678 DOI : 10.15672/hujms.896977

Research Article

Faber polynomials coefficients estimates for a certain subclass of Bazilevic functions

Abdel Moneim Lashin∗1,2, Abeer O. Badghaish1, Amani Z. Bajamal1

1Department of Mathematics, Faculty of Science, King Abdulaziz University, P. O. Box 80203, Jeddah 21589, Kingdom of Saudi Arabia

2Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt

Abstract

For a certain subclass of Bazilevic functions, Faber polynomials expansions are used to obtain bi-univalent properties. Estimates on the nth Taylor-Maclaurin coefficients of func- tions in this class are found. Moreover, some special cases are also indicated.

Mathematics Subject Classification (2020). 30C45, 30C50, 30C55, 30C80

Keywords. Faber polynomial, Bazilevic functions, coefficient estimations, starlike and convex functions, univalent functions, bi-univalent functions

1. Introduction

Let A be the class of all analytic functions in the open unit disc U = {z ∈ C : |z| < 1}

with Taylor expansion

f (z) = z +

n=2

anzn. (1.1)

When the function f ∈ A is univalent, we denote the subclass of these functions by S. The univalence property of the function f ∈ S guarantees the existence of the inverse function f−1, by using the Koebe one-quarter theorem [9] in U =

{

w∈ C : |w| < 14}, which is defined by f−1(f (z)) = z (z∈ U) and f(f−1(w)) = w (w∈ U) with the power series

g(w) = f−1(w) = w− a2w2+ (2a22− a3)w3− (5a32− 5a2a3+ a4)w4+ ... .

For the function f ∈ S, if the inverse function f−1 is univalent in U , then f is called bi- univalent function in U . Let σ be the class of all bi-univalent functions in U which are given by (1.1). In 1967, Lewin [18] was the first author who studied the class of analytic and bi-univalent functions. Later, the first two coefficients|a2| and |a3| for different subclasses of analytic and bi-univalent functions were estimated by many authors, see for example [3,4,6,7,12,13,15–17,19,20,22–24,27,28]. In 1903, Faber [10] introduced Faber polynomials

Corresponding Author.

Email addresses: aylashin@mans.edu.eg (A.Y. Lashin), abadghaish@kau.edu.sa (A.O. Badghaish), azbajamal@kau.edu.sa (A.Z. Bajamal)

Received: 15.03.2021; Accepted: 28.06.2021

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which have an effective role in some branches of mathematics. In addition, Airault and Bouali [1] determined the coefficients of the inverse function g = f−1 as follow

g (w) = f−1(w) = w +

n=2

1

nKn−n−1(a2, a3, ..., an) wn, where Knp(a2, a3, ..., an) are given by

K1p = pa2, K2p = p(p− 1)

2 a22+ pa3, K3p = p(p− 1)a2a3+ pa4+p(p− 1)(p − 2)

3! a32, K4p = p(p− 1)a2a4+ pa5+p(p− 1)

2 a23+p(p− 1)(p − 2)

2 a22a3+ p!

(p− 4)!4!a42, More generally,

Knp = p!

(p− n)!n!an2 + p!

(p− n + 1)!(n − 2)!an2−2a3+ p!

(p− n + 2)!(n − 3)!an2−3a4

+ p!

(p− n + 3)!(n − 4)!an2−4 (

a5+p− n + 3 2 a23

)

+ p!

(p− n + 4)!(n − 5)!an2−5[a6+ (p− n + 4)a3a4] +

j≥6

an2−jVj,

where Vj is a homogeneous polynomial of degree j in the variables a2, a3, ..., an. In [1] and [2], we see that

zf(z) f (z)

(f (z) z

)µ

= 1

n=2

Fnµ+n−1−1(a2, a3, ..., an) zn−1 (1.2) and

zf(z)

f (z) = 1

n=2

Fn−1(a2, a3, ..., an) zn−1, (1.3) where Fjk−1(a2, a3, ..., aj), j ≥ 2, are the generalized Faber polynomials given by Fnn+j =

(1 +nj )

Knj and Fn−1(a2, a3, ..., an) , n≥ 2, are the nth Faber polynomials such that Fn= Fnn (see [2, page 351] and [5, page 52]). We note that

F1k = −ka2, F2k= k(3− k)

2 a22− ka3, F3k = k(4− k)(k − 5)

3! a32+ k(4− k)a2a3− ka4, F4k = k(5− k)(k − 6)(k − 7)

4! a42+ k(5− k)(k − 6)

2! a22a3− k(5 − k)a2a4

+k(5− k)

2 a23− ka5,

F5k = k(6− k)(k − 7)(k − 8)(k − 9)

5! a52+ k(6− k)(k − 7)(k − 8) 3! a32a3

+k(6− k)(k − 7)

2 a22a4+k(6− k)(k − 7)

2 a2a23+ k(6− k)a3a4

+k(6− k)a2a5− ka6. (1.4)

It is well known that 1 + zf′′(z) /f(z) = z(zf(z))/zf(z), using (1.3) we have

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zf′′(z)

f(z) =

n=2

Fn−1(2a2, 3a3, ..., nan) zn−1. (1.5) For two analytic functions f1(z) and f2(z) in U , f1(z) is subordinate to f2(z), written f1 ≺ f2 or f1(z) ≺ f2(z), if there exists a Schwarz function ω (z) =

n=1

ωnzn which is analytic in U with ω (0) = 0 and |ω (z)| < 1 for all z ∈ U such that f1(z) = f2(ω (z)) . Definition 1.1. Let Υ (λ, µ, ϕ) be the class of functions f ∈ S satisfying the following subordination condition

f(z) (f (z)

z )µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1−zf(z) f (z)

))

≺ ϕ (z) ,

for some λ, µ≥ 0 and ϕ is an analytic function with positive real part in U and ϕ(U) is symmetric with respect to the real axis such that

ϕ(z) = 1 + B1z + B2z2+ B3z3+ ... (B1 > 0).

By putting different values of λ, µ and ϕ, in the above definition, various previous results are deduced.

(1) Putting ϕ = 1+Az1+Bz,−1 ≤ B < A ≤ 1, the subclass of Bazilevic functions which was considered by Wang and Jing [29] is obtained.

(2) The classes Υ (

0, 0,1+Az1+Bz )

= S[A, B] and Υ (

1, 0,1+Az1+Bz )

= K[A, B](−1 ≤ B <

A≤ 1) are the well-known Janowski starlike and convex functions.

(3) The classes Υ(0, 0,1+(1−2α)z1−z ) = S(α) and Υ(1, 0,1+(1−2α)z1−z ) = K(α) are the classes of starlike and convex functions of order α(0≤ α < 1).

(4) The class Υ(0, 0,√

1 + z)= SL was introduced and studied by Sokół and Stankiewicz [26].

(5) The class Υ (

0, 0, z +√ 1 + z2

)

= S was introduced and studied by Raina and Sokół [25].

(6) The class Υ (

0, 0,(1−z)1 s

)

= SThpl(s) (0 < s ≤ 1) was introduced and studied by Kanas et al. [14].

(7) The class Υ (0, 0, ez) = Se was introduced and studied by Mendiratta et al. [21].

(8) The class Υ (

0, 0,1+e2−z )

= SG was introduced and studied by Goel and Kumar [11].

Definition 1.2. A function f ∈ σ is said to be in the class Υσ(λ, µ, ϕ) if both f and its inverse map g = f−1 are in Υ (λ, µ, ϕ) .

Remark 1.3. There are new classes if we take special cases for the function ϕ (z) z∈ U in Definition 1.2 such as

(1) If ϕ (z) = 1 + Az

1 + Bz = 1 + (A− B) z − B (A − B) z2+ B2(A− B) z3+ ....,−1 ≤ B < A ≤ 1 , then we get the new class Υσ(λ, µ, A, B) which is defined by

Υσ(λ, µ, A, B) = {

f ∈ σ : f(z) (f (z)

z )µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1 zf(z) f (z)

))

1 + Az 1 + Bz, g(w)

(g (w) w

)µ−1

+ λ

(wg′′(w)

g(w) + (1− µ) (

1−wg(w) g (w)

))

1 + Aw 1 + Bw

}

;

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(2) If

ϕ (z) =

(1 + z 1− z

)α

= 1 + 2αz + 2α2z2+ ...., 0 < α≤ 1, then we obtain the new class Υσ(λ, µ, α) which is defined by Υσ(λ, µ, α) =

{

f ∈ σ : arg (

f(z) (f (z)

z )µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1−zf(z) f (z)

))) < π

2α,

arg (

g(w)

(g (w) w

)µ−1

+ λ

(wg′′(w)

g(w) + (1− µ) (

1−wg(w) g (w)

))) < π

2α }

; (3) If

ϕ (z) = 1 + (1− 2β) z

1− z = 1 + 2 (1− β) z + 2 (1 − β) z2+ ...., 0≤ β < 1, then we acquire the new class Υβσ(λ, µ) which is defined by

Υβσ(λ, µ) = {

f ∈ σ : ℜ (

f(z) (f (z)

z )µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1−zf(z) f (z)

)))

> β,

( g(w)

(g (w) w

)µ−1

+ λ

(wg′′(w)

g(w) + (1− µ) (

1−wg(w) g (w)

)))

> β }

; (4) If

ϕ (z) =√

1 + z = 1 +1 2z−1

8z2+ ...., then we get the new class Υ(λ, µ) which is defined by Υ(λ, µ) =

f ∈ σ : (

f(z) (f (z)

z )µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1−zf(z) f (z)

)))2

− 1 < 1,

(

g(w)

(g (w) w

)µ−1

+ λ

(wg′′(w)

g(w) + (1− µ) (

1−wg(w) g (w)

)))2

− 1 < 1

; (5) If

ϕ (z) = z +1 + z2= 1 + z + 1 2z21

8z4+ ...., then we obtain the new class Υσ (λ, µ) which is defined by

Υσ (λ, µ) =

f ∈ σ : (

f(z) (f (z)

z

)µ−1 + λ

[

zf′′(z)

f(z) + (1− µ) (

1zff (z)(z) )])2

− 1

< 2 f(z) (f (z)

z

)µ−1 + λ

[

zf′′(z)

f(z) + (1− µ) (

1 zff (z)(z))] ,

(

g(w) (g(w)

w

)µ−1 + λ

[

wg′′(w)

g(w) + (1− µ) (

1 wgg(w)(w) )])2

− 1

< 2 g(w) (g(w)

w

)µ−1 + λ

[

wg′′(w)

g(w) + (1− µ) (

1wgg(w)(w))]

;

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(6) If

ϕ (z) = 1

(1− z)s = 1 + sz +s (s + 1)

2! z2+s (s + 1) (s + 2)

3! z3+ ...., 0 < s≤ 1, then we acquire the new class Υσ(λ, µ, s) which is defined by

Υσ(λ, µ, s) = {

f ∈ σ : f(z) (f (z)

z )µ−1

+ λ

[zf′′(z)

f(z) + (1− µ) (

1 zf(z) f (z)

)]

1

(1− z)s, g(w)

(g (w) w

)µ−1

+ λ

[wg′′(w)

g(w) + (1− µ) (

1−wg(w) g (w)

)]

1

(1− w)s }

; (7) If

ϕ (z) = ez = 1 + z + 1

2!z2+ 1

3!z3+ ...., then we get the new class Υσe(λ, µ) which defined by Υσe(λ, µ) =

{

f ∈ σ : log (

f(z) (f (z)

z )µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1−zf(z) f (z)

))) < 1,

log (

g(w)

(g (w) w

)µ−1

+ λ

(wg′′(w)

g(w) + (1− µ) (

1 wg(w) g (w)

))) < 1

} .

In this paper, Faber polynomials expansions are used to find estimate of the nth (n ≥ 3) Taylor-Maclaurin coefficients|an| of functions belong to the class Υσ(λ, µ, ϕ). Moreover, estimates of the first coefficients|a2| and |a3| are also obtained.

2. The estimates of the coefficients for the class Υσ(λ, µ, ϕ)

In the next theorem, estimate of the nth (n ≥ 3) Taylor-Maclaurin coefficients |an| of functions belong to the class Υσ(λ, µ, ϕ) is found by using Faber polynomials expansions.

Theorem 2.1. Let the function f∈ Υσ(λ, µ, ϕ) and ak = 0 for 2≤ k ≤ n − 1. Then

|an| ≤ B1

(µ + n− 1) [1 + λ (n − 1)], n≥ 3, λ, µ ≥ 0. (2.1) Proof. If u and v are Schwarz functions in U such that

u (z) = b1z +

n=2

bnzn and v (z) = c1z +

n=2

cnzn, (z ∈ U) , (2.2) then

|bn| ≤ 1 and |cn| ≤ 1 for all n = 1, 2, 3, ... (2.3) which are proved by Duren [9]. Since f ∈ Υσ(λ, µ, ϕ), then there are two analytic functions u, v : U → U given by (2.2) such that

f(z) (f (z)

z )µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1−zf(z) f (z)

))

= ϕ (u (z)) (2.4) and

g(w)

(g (w) w

)µ−1

+ λ

(wg′′(w)

g(w) + (1− µ) (

1−wg(w) g (w)

))

= ϕ (v (w)) , (2.5)

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where g (w) = f−1(w). By using (1.2),(1.3) and (1.5), we get f(z)

(f (z) z

)µ−1

+ λ

(zf′′(z)

f(z) + (1− µ) (

1−zf(z) f (z)

))

= 1

n=2

(

Fnµ+n−1−1(a2, a3, ..., an) + λFn−1(2a2, 3a3, ..., nan)

−λ (1 − µ) Fn−1(a2, a3, ..., an)) zn−1, (2.6) and

g(w)

(g (w) w

)µ−1

+ λ

(wg′′(w)

g(w) + (1− µ) (

1 wg(w) g (w)

))

= 1

n=2

(

Fnµ+n−1−1(d2, d3, ..., dn) + λFn−1(2d2, 3d3, ..., ndn)

−λ (1 − µ) Fn−1(d2, d3, ..., dn)) wn−1, (2.7) where dn= n1Kn−n−1(a2, a3, ..., an) . Simple calculation yields

ϕ (u (z)) = 1− B1

n=1

Kn−1(b1, b2, ..., bn, B1, B2, ..., Bn) zn

= 1 + B1b1z + (

B1b2+ B2b21 )

z2+ ..., (z∈ U) , (2.8) and

ϕ (v (w)) = 1− B1

n=1

Kn−1(c1, c2, ..., cn, B1, B2, ..., Bn) wn (2.9)

= 1 + B1c1w +(B1c2+ B2c21)w2+ ..., (w∈ U) , where the coefficients Knp(k1, k2, ..., kn, B1, B2, ..., Bn) are given by(see [8])

Knp(k1, k2, ..., kn, B1, B2, ..., Bn) = p!

(p− n)!n!kn1(−1)n+1Bn

B1

+ p!

(p− n + 1)! (n − 2)!k1n−2k2(−1)nBn−1 B1

+ p!

(p− n + 2)! (n − 3)!k1n−3k3(−1)n−1Bn−2 B1

+ p!

(p− n + 3)! (n − 4)!k1n−4 (

k4(−1)n−2Bn−3

B1 +p− n + 3

2 k22k3(−1)n−1Bn−2 B1

)

+

j≥5

kn1−jXj,

where Xj is a homogeneous polynomial of degree j in the variables k1, k2, ..., kn. By com- paring the corresponding coefficients of (2.6) and (2.8), we obtain

Fnµ+n−1−1(a2, a3, ..., an) + λFn−1(2a2, 3a3, ..., nan)− λ (1 − µ) Fn−1(a2, a3, ..., an)

= B1Kn−1−1(b1, b2, ..., bn−1, B1, B2, ..., Bn−1) . (2.10)

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Now comparing the corresponding coefficients of (2.7) and (2.9), we get

Fnµ+n−1−1(d2, d3, ..., dn) + λFn−1(2d2, 3d3, ..., ndn)− λ (1 − µ) Fn−1(d2, d3, ..., dn)

= B1Kn−1−1(c1, c2, ..., cn−1, B1, B2, ..., Bn−1) . (2.11) Under the assumption ak= 0 for 2≤ k ≤ n − 1, dn=−an and

Fnµ+n−1−1=−(µ + n − 1), (2.10) and (2.11) become

[(µ + n− 1) + λ (n − 1) n − λ (1 − µ) (n − 1)] an= B1bn−1 (2.12) and

[− (µ + n − 1) − λ (n − 1) n + λ (1 − µ) (n − 1)] an= B1cn−1 . (2.13) From (2.12), (2.13) and (2.3), we get

|an| ≤ B1

(µ + n− 1) [1 + λ (n − 1)],

which completes the proof. 

Lemma 2.2. [8] Let the function Φ (z) =

n=1

Φnzn be a Schwarz function with|Φ (z)| < 1, z∈ U. Then for −∞ < ρ < ∞

Φ2+ ρΦ21

1− (1 − ρ) Φ21 ρ > 0 1− (1 + ρ) Φ21 ρ≤ 0

In the following theorem, Faber polynomials expansions are also used to find estimates of the first coefficients|a2| and |a3| of functions belong to the class Υσ(λ, µ, ϕ).

Theorem 2.3. Let the function f ∈ Υσ(λ, µ, ϕ). Then

|a2| ≤

B1 2B1

(µ+1)((µ+2λ+2)B12+2(µ+1)(λ+1)2(B1+B2)) B2 ≤ 0, B1+ B2 ≥ 0

B1

2B1

(µ+1)((µ+2λ+2)B12+2(µ+1)(λ+1)2(B1−B2)) B2 > 0, B1− B2 ≥ 0 and

a3− a22

B1

(µ+2)(2λ+1) B1 ≥ |B2|

|B2|

(µ+2)(2λ+1) B1 <|B2|

(2.14)

Proof. Put n = 2 and n = 3 in (2.10) and (2.11), respectively, we obtain that

(µ + 1) (λ + 1) a2 = B1b1 (2.15) (µ + 2) (2λ + 1) a3+

((µ− 1) (µ + 2)

2 − λ (µ + 3) )

a22 = B1b2+ B2b21 (2.16)

− (µ + 1) (λ + 1) a2= B1c1 (2.17)

−(µ + 2) (2λ + 1) a3+

((µ− 1) (µ + 2)

2 − λ (µ + 3) + 2 (µ + 2) (2λ + 1) )

a22= B1c2+B2c21. (2.18) From (2.15) and(2.17), we get

b1=−c1. (2.19)

Adding (2.16) and (2.18), we find that

[(µ + 1) (µ + 2λ + 2)] a22 = B1(b2+ c2) + B2

( b21+ c21

)

. (2.20)

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Thus a22 B1

(µ + 1) (µ + 2λ + 2)

( b2+B2

B1b21 + c2+ B2 B1c21

) .

Case 1. If B2 ≤ 0 and B1+ B2 ≥ 0, using Lemma 2.2 with ρ = BB21 ≤ 0 and (2.19), we have a22 2B1

(µ + 1) (µ + 2λ + 2) (

1

(B1+ B2

B1

) b21 )

. Using (2.15), we find that

|a2| ≤ B1

2B1

(µ + 1)((µ + 2λ + 2) B12+ 2 (µ + 1) (λ + 1)2(B1+ B2))

. (2.21)

Case 2. If B2 > 0 and B1− B2 ≥ 0, using Lemma 2.2 with ρ = BB21 > 0 and (2.19), we have a22 2B1

(µ + 1) (µ + 2λ + 2) (

1

(B1− B2

B1

) b21 )

. Using (2.15), we find that

|a2| ≤ B1

2B1

(µ + 1) (

(µ + 2λ + 2) B12+ 2 (µ + 1) (λ + 1)2(B1− B2)

). (2.22)

Therefore, (2.21) and (2.22) are the required estimate of|a2| .To estimate the next part of this theorem, we subtract (2.18) from (2.16) to obtain

2 (µ + 2) (2λ + 1) (

a3− a22)= B1(b2− c2) + B2

(

b21− c21). (2.23) Then a3− a22 B1

2 (µ + 2) (2λ + 1)

( b2+B2

B1b21 + c2+B2

B1c21 )

. Case 1. If B2≤ 0, using Lemma 2.2 with ρ = BB21 ≤ 0 we have

a3− a22 B1

2 (µ + 2) (2λ + 1) ((

1−B1+ B2 B1

b21 )

+ (

1−B1+ B2 B1

c21 ))

. Using the assumption B1+ B2 ≥ 0, we get

a3− a22 B1

(µ + 2) (2λ + 1). (2.24)

But if B1+ B2 < 0 and by using (2.3), we get a3− a22 −B2

(µ + 2) (2λ + 1). (2.25)

Case 2. If B2> 0, using Lemma 2.2 with ρ = BB2

1 > 0 we have a3− a22 B1

2 (µ + 2) (2λ + 1) ((

1−B1− B2

B1

b21 )

+ (

1−B1− B2

B1

c21 ))

. Using the assumption B1− B2 ≥ 0, we get

a3− a22 B1

(µ + 2) (2λ + 1). (2.26)

But if B1+ B2 < 0 and by using (2.3), we get a3− a22 B2

(µ + 2) (2λ + 1). (2.27)

Therefore, (2.24),(2.25),(2.26) and (2.27) are the desired estimations of a3− a22 and this

completes the proof. 

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In Theorem 2.1 and Theorem 2.3, taking the special cases for the function ϕ(z) as in Remark 1 leads to the following corollaries.

Corollary 2.4. If the function f ∈ Υσ(λ, µ, A, B) and ak= 0 for 2≤ k ≤ n − 1, then

|an| ≤ A− B

(µ + n− 1) (1 + λ (n − 1)), n≥ 3, λ, µ ≥ 0.

Corollary 2.5. If the function f ∈ Υσ(λ, µ, A, B), then

|a2| ≤

(A−B)

2

(µ+1)((µ+2λ+2)(A−B)+2(µ+1)(λ+1)2(1−B)) 0≤ B < 1

(A−B)

2

(µ+1)((µ+2λ+2)(A−B)+2(µ+1)(λ+1)2(1+B)) − 1 ≤ B < 0 and

a3− a22 A− B (µ + 2) (2λ + 1).

Corollary 2.6. If the function f ∈ Υσ(λ, µ, α) and ak= 0 for 2≤ k ≤ n − 1, then

|an| ≤

(µ + n− 1) (1 + λ (n − 1)), n≥ 3, λ, µ ≥ 0.

Corollary 2.7. If the function f ∈ Υσ(λ, µ, α), then

|a2| ≤

(µ + 1) (

(µ + 2λ + 2) α + (µ + 1) (λ + 1)2(1− α)) and

a3− a22

(µ + 2) (2λ + 1).

Corollary 2.8. If the function f ∈ Υβσ(λ, µ) and ak= 0 for 2≤ k ≤ n − 1, then

|an| ≤ 2 (1− β)

(µ + n− 1) (1 + λ (n − 1)), n≥ 3, λ, µ ≥ 0.

Corollary 2.9. If the function f ∈ Υβσ(λ, µ), then

|a2| ≤ 2

1− β

(µ + 1) (µ + 2λ + 2) and

a3− a22 2 (1− β) (µ + 2) (2λ + 1).

Corollary 2.10. If the function f ∈ Υ(λ, µ) and ak= 0 for 2≤ k ≤ n − 1, then

|an| ≤ 1

2 (µ + n− 1) (1 + λ (n − 1)), n≥ 3, λ, µ ≥ 0.

Corollary 2.11. If the function f ∈ Υ(λ, µ), then

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|a2| ≤ 1

(µ + 1) (

(µ + 2λ + 2) + 3 (µ + 1) (λ + 1)2 )

and

a3− a22 1

2 (µ + 2) (2λ + 1).

Corollary 2.12. If the function f ∈ Υσ (λ, µ) and ak = 0 for 2≤ k ≤ n − 1, then

|an| ≤ 1

(µ + n− 1) (1 + λ (n − 1)), n≥ 3, λ, µ ≥ 0.

Corollary 2.13. If the function f ∈ Υσ (λ, µ), then

|a2| ≤

2

(µ + 1) (

(µ + 2λ + 2) + (µ + 1) (λ + 1)2 )

and

a3− a22 1

(µ + 2) (2λ + 1).

Corollary 2.14. If the function f ∈ Υσ(λ, µ, s) and ak= 0 for 2≤ k ≤ n − 1, then

|an| ≤ s

(µ + n− 1) (1 + λ (n − 1)), n≥ 3, λ, µ ≥ 0.

Corollary 2.15. If the function f ∈ Υσ(λ, µ, s), then

|a2| ≤ s√

2

(µ + 1) (

(µ + 2λ + 2) s + (µ + 1) (λ + 1)2(1− s)) and

a3− a22 s

(µ + 2) (2λ + 1).

Corollary 2.16. If the function f ∈ Υσe(λ, µ) and ak = 0 for 2≤ k ≤ n − 1, then

|an| ≤ 1

(µ + n− 1) (1 + λ (n − 1)), n≥ 3, λ, µ ≥ 0.

Corollary 2.17. If the function f ∈ Υσe(λ, µ), then

|a2| ≤

2

(µ + 1) (

(µ + 2λ + 2) + (µ + 1) (λ + 1)2 )

and

a3− a22 1

(µ + 2) (2λ + 1)

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3. Distortion theorem

An important consequence of Bieberbach’s inequality |a2| ≤ 2 is that it provides sharp lower and upper bounds of|f| and f usually referred to as growth and distortion the- orems, respectively. In this section, we obtain the distortion theorem of functions in the class Υσ(λ, µ, ϕ)

Theorem 3.1. If f ∈ Υσ(λ, µ, ϕ) and z = re, then (1− r)M−1

(1 + r)M +1 f(z) (1 + r)M−1

(1− r)M +1, (3.1)

where

M :=

B1 2B1

(µ+1)((µ+2λ+2)B12+2(µ+1)(λ+1)2(B1+B2)) B2≤ 0, B1+ B2 ≥ 0

B1

2B1

(µ+1)((µ+2λ+2)B21+2(µ+1)(λ+1)2(B1−B2)) B2> 0, B1− B2≥ 0.

Proof. Using the same method and technique given by Duren [9, Theorem 2.5, Page 32], we have

zf′′(z)

f(z) 2r2 1− r2

2M r 1− r2. In particular,

2r2− 2Mr 1− r2 ≤ ℜ

(zf′′(z) f(z)

)

2r2+ 2M r 1− r2 . This leads to

2r− 2M 1− r2

∂rlog f(re) 2r + 2M 1− r2 . Integrating and exponentiating, we find that

(1− r)M−1

(1 + r)M +1 f(z) (1 + r)M−1 (1− r)M +1.

 Acknowledgment. The authors would like to thank the referee for his helpful com- ments and suggestions which improved the presentation of the paper.

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