MALAYSIAN MATHEMATICAL
SCIENCES SOCIETY
On a Class of Functions whose Derivatives Map the Unit Disc into a Half Plane
DAUD MOHAMAD
Universiti Teknologi MARA, Kampus Bukit Sekilau, 25200 Kuantan, Pahang, Malaysia
Abstract. Let G(α,δ) denote the class of functions f, f(0) = f(0) − 1 = 0 for which
α ′( )>δ
Re ei f z in D={z: z <1} where α ≤ π and cos α−δ > 0. We discuss some basic properties of the class including representation theorem, extremals and argument of G(α,δ).
1. Introduction
We denote G(α,δ) the class of normalized analytic functions f in the unit disc D where L
L + + +
+
= z a z anzn
z
f( ) 2 2
satisfying Re eiαf′(z) > δ where α ≤ π and cos α − δ > 0.
Many of the classes G(α,δ) have been studied by several researchers such as MacGregors [3] for G(0,0), Goel and Mehrok [1] for G(α,δ)(δ ≥ 0)and Silverman and Silvia [4] for G(α,0). Writing
, ) ( cos
sin ) ) (
( e f z i z D
z p
i
− ∈
−
′ −
= α δ
δ
α α
(1) clearly f ∈G(α,δ) if and only if p∈P, the class of functions with positive real parts.
Solving (1) for f'(z) yields
) ( ) sin ) ( ( )
(z e Ap z i z D
f′ = −iα + α +δ ∈ (2) where A=cosα−δ.
2. Representation theorem
We obtain the representation theorem for G(α,δ), sharing the same approach through Herglotz Representation Theorem for functions in P.
Theorem 2.1. Let f ∈g(α,δ). Then for some probability measure μ on the unit circle X,
[
( 2 ) 2 log(1 )]
( ).)
(z e e z e Ax xz d x
f
X
i i
iα α δ α μ
∫
− − − −= − − − (3)
Conversely, if f is given by the above equation, then f ∈G(α,δ). Proof. For some probability measure μ on the circle X,
).
( 1
) 1 (
d x
xz z xz
p P
p∈ ⇔ =
∫
−+ μUsing (2), we have
) ( 1 sin
) 1
( i d x
xz A xz e z
f iα α δ ⎥⎦⎤ μ
⎢⎣⎡ + +
−
= +
′ −
∫
and so
ψ ψ μ
δ
ψ ψ μ
ψ δ
ψ μ δ ψ α
ψ
α α α
α α
α
d x x d
A e e
e
d x x d
x e e
d x d x i
A x e
z f
i i
X i z
X
i i
z
X i
) ( 1
) 2 2 (
) ( 1
) 2 (
1
) ( ) sin 1 (
) 1 (
z
0 0
2 0
∫ ∫
∫ ∫
∫ ∫
⎥⎥
⎦
⎤
⎢⎢
⎣
⎡
+ −
−
−
=
⎥⎥
⎦
⎤
⎢⎢
⎣
⎡
−
−
= +
⎥⎥
⎦
⎤
⎢⎢
⎣
⎡
⎟⎟
⎠
⎞
⎜⎜
⎝
⎛ ⎟⎟⎠ + +
⎜⎜ ⎞
⎝
⎛
−
= +
− −
−
−
−
−
(4)
and the desired representation theorem is obtained by reversing the order of integration and integrating with respect to ψ .
We note that the extreme points of G(α,δ) are the unit point masses ) 1 ( log 2
) 2 (
)
(z e e z e Ax xz
fx = − −iα −iα − δ − −iα −
with x = 1 and the derivatives of the extreme points for G(α,δ)are the point masses
. 1 , 1
) 2 (
) 1 (
2
− =
−
= + − − x
xz
xz e z e
f
i i
x
α
α δ
3. Extremal properties
Following Silverman and Silvia [4], we now obtain a coefficient bound for functions in )
, (α δ
g and distortion theorems for the derivatives of these functions.
Theorem 3.1. If f∈G(α,δ), then an ≤ 2A/n, n=2,3,4,L and equality is attained for each n when f is an extreme point of G(α,δ).
Proof. Using (4) and since 1 (1−xψ) =
∑
∞0(xψ)n, we can write. ) ( 2
) (
2
∫ ∑
∞ 1=
−
+ −
=
X
n
n n i
n x z d x A e z z
f α μ
Now, let ∑∞
=
+
=
2
) (
n n nz a z z
f . Then 2 1 ( )
x d n x
A a e
X n i
n = −α
∫
− μ and the result follows immediately.Our further result will be based on the following theorem.
Theorem 3.2. Let f∈G(α,δ). Then f′ maps z ≤ r into the disc Dr with center )
1 /(
) 2 ( ) 2
(e e A r2
e i i − + i −
− −α −α δ −α and radius 2Ar/(1 − r2).
Proof. If a and b are complex numbers with b <1, and if 0 < r <1, the range of the function (1 + arω) (1 + brω)(|ω| ≤ 1) is the disc with center and radius
2 2 2
1 1
r b
r b a
−
− ,
2 2
1 b r
r b a
−
−
respectively. By taking a=(e−i2α− 2δ e−iα)xr and b=xr where x =1, we see that
1
) 2 (
1 2
xz
xz e
e i i
−
−
+ − α δ −α
maps z ≤ r onto Dr. By convexity, any linear combination of functions of this form also maps D onto Dr. Since for some probability measure μ, we have
, ) ( 1
) 2 (
) 1 (
2
x xz d
xz e z e
f
X
i
iα δ α μ
∫
+ −−′ = − −
the stated result now follows.
Theorem 3.3. If f ∈G(α,δ), then
2 2
2 2
1
2 ) 1 ) ( 2 ( 1 ) ( Re 1
2 ) 1 ) ( 2 ( 1
r
rA A
A z r
f r
rA A
A r
−
+
− +
≤ +
≤ ′
−
−
− +
+ δ δ
(5) and
2
2 2
2
1
) ) ( 1 1 ( 2 ) ( Im 1
) ) ( 1 1 ( 2
r A r
z Ar f r
A r
Ar
− +
−
≤ +
≤ ′
−
+
− +
− δ δ
.
All bounds are sharp for any extreme point f of G(α,δ). Proof. By Theorem 3.2, we can write
2
2 1
2 1
) 2 2 (
) (
r Ar r
A e e
e z
f
i i
i
≤ −
⎪⎭
⎪⎬
⎫
⎪⎩
⎪⎨
⎧
+ −
−
−
′ − −α −α δ −α (6) so that
2 2
2 1
2 1
) 2 2 (
) ( Re 1
2
r Ar r
A e e
e z f r
Ar i i i
≤ −
⎪⎭
⎪⎬
⎫
⎪⎩
⎪⎨
⎧
− −
−
′ +
− ≤
− −α −α δ −α
and also
2 2
2 1
2 1 ) 2 2 (
) ( Im 1
2
r Ar r
A e e
e z f r
Ar i i i
≤ −
⎪⎭
⎪⎬
⎫
⎪⎩
⎪⎨
⎧
− −
−
′ +
− ≤
− −α −α δ −α .
The results are obtained by simplifying the above inequalities.
We note that if f ∈G(α,δ), then since f0′(0)=1, we have Ref′(z) > 0 for ρ
<
z and some ρ in (0,1]. However if
, ) ( , 1
) 2 (
) 1 (
2
D z z
z e z e
f
i i
o ∈
−
−
= + − α δ −α
then the left side of inequality (5) is sharp so that
) 1 ( ) 1 )(cos (cos
2 2 ) 1 ) ( 2 ( 1 ) ( Re ) 1
( −r2 f0′ −r = + r2 A A+δ − − rA → α−δ α − r→
and the last expression is negative if α ≠ 0. This shows that ρ≠1 in general, and it is natural to ask for the best possible value of ρ. We answer this question in the following application of Theorem 3.2
Theorem 3.4. Let f ∈g(α,δ) and put ρ = 1(A + 1−A(2δ + A)). Then 1
0 < ρ ≤ and Re f′(z) ≥ 0 fo r z <ρ . If ρ ≤ r ≤ 1, then Ref0′(z) < 0 for some z on z < r.
Proof. Let f ∈G(α,δ) and define ρ as above. Obviously ρ>0 since A>0,and 0
cos 1
) 2 (
1−A δ + A = + δ2− α ≥ . The inequality ρ ≤ 1 is equivalent to 1
) 2 (
1− + ≥
+ A A
A δ and this is obviously true if A ≥ 1. If A < 1, it is true if and only if 1 − A(2δ + A) ≥ (1 − A)2, and thus reduces to the trivially true inequality cos α ≤ 1. So in both cases, ρ ≤1.
Now, put σ(x) = (2A(A + δ) − 1)x2− 2x + 1 for real values of x. From (5), we have (1− r2)Ref′(z) ≥ σ(r) (0 ≤ z = r < 1) with equality for each r when
fo
f = and z is a suitable value on z = r. To prove the theorem, it is sufficient to show that σ(x) is positive on [0,ρ) and non-positive on [ρ,1].
If 2A(A + δ) = 1, so that σ(x) is linear in x, then ρ=1/(2A) and it is clear that )
σ(x is positive on [0,ρ)and non-positive on [ρ,1]. When 2A(A + δ ≠) 1, σ(x) is quadratic and has zeros
. ) 2 ( 1 1 1 ) ( 2
) 2 ( 1
A A
A A A
A A
x A
+
= −
− +
+
−
= ±
δ δ δ
m (7) One of the zeros is ρ. Let the other zero be μ, If 2A(A + δ) < 1, then μρ < 0 and (7) shows that μ< 0 and ρ > 0. Since σ is concave, σ(x) is positive on [0,ρ)and
non-positive on [ρ,1]. If 2A(A + δ)>1, then μ,ρ>0 since μρ>0, μ+ρ>0.
Also ρ <μ by (5). In this case σ is convex so σ(x) is positive on [0,ρ) and non-positive on [ρ,μ]. In particular, since σ(1) = 2A(cosα−1) ≤ 0,σ(x) is non-positive on [ρ,1]. This completes the proof.
We next obtain a distortion theorem for G(α,δ). Theorem 3.5. If f∈G(α,δ), then
1 2
) 2 ( ) (
r r Ar
C z
f′ ≤ + −
where
1 1
1 ) 4
( 2 2
2 ⎟⎟ +
⎠
⎞
⎜⎜
⎝
⎛ +
−
= − δ
r A r r Ar
C (8)
and the bound is sharp for any extreme point f of G(α,δ).
Proof. Let 2
1 ) 2 2 ( )
( r
A e e
e r
i i
i
+ −
−
−
=
Γ −α −α δ −α . By using (6) we have
1 2
) 2 ( ) (
r r Ar z
f′ ≤ Γ + −
1 2
) 2 (
r r Ar
C + −
= as required.
4. Argument of f′(z)
We see that if δ ≥0, then f′ is non-zero throughout D, and has continuous argument.
But if δ <0, and if fo is any extreme function of G(α,δ), then at some point of D, f0′ has a zero and hence no argument. So to obtain result for argument of f′, we restrict the values of z considered in the case δ <0. We will also use the following property for argument: for a given α in [−π,π] and as x varies in some interval [0, c], so that eiα+ x ≠ 0, φα(x) is the continuous argument of eiα+x, for which
α
φα(0)= . We have
0 cos if 2 ,
/
0 cos if , cos
tan sin
0 cos if cos ,
tan sin
)
( 1
1
⎪⎪
⎪⎪
⎩
⎪⎪
⎪⎪
⎨
⎧
= +
<
⎟ +
⎠
⎜ ⎞
⎝
⎛ + +
>
⎟ +
⎠
⎜ ⎞
⎝
⎛ +
= −
−
π α
α α
π α
α α α
φα
x x x
x x
x
when 0<α <π, and similar formulae for the case −π <α <0, α = 0, ±π. Theorem 4.1. Let f ∈G(α,δ), and put x(r)=2Ar2 (1−r2) (0≤r<1). Let
⎪⎪
⎩
⎪⎪⎨
⎧
<
−
≥
= , 0.
4 1
1
0 , 1
δ δ
δ
A ro
Then, for 0 < z = r < ro, and for suitable determination of argument
) ( ) 1 ( sin 2 )) ( ( )
(
arg 2
1
r C r r Ar
x z
f′ + α −φα ≤ − − (9)
where φα(x) is defined on [0,x(ro)) as above and C(r) is given by (8).
Proof. We restrict the value of z = r by the condition
2
2 1
2 2 1
2
r e Ar
r
A i
> −
−
− +
−α
δ
to ensure that f′(z) ≠ 0. Squaring both sides and simplifying, we have 0
1 4 1
4
2 − + >
− δ δ
A r
A .
The inequality holds for all r in [0,1) if δ ≥ 0 and for 0 ≤ r < 1 1−4δA if δ <0. This establishes the restriction on z . By using (6) and Theorem 3.5, we deduce that
) ( ) 1 ( sin 2 ) ( arg ) (
arg 2
1
r C r r Ar
z
f′ − Γ ≤ − − (10)
and also
. 1
arg 2
1 ) 2 2 (
arg ) ( arg
2 2
2
⎥⎥
⎦
⎤
⎢⎢
⎣
⎡ + − +
−
=
⎥⎥
⎦
⎤
⎢⎢
⎣
⎡
+ −
−
−
=
Γ − − −
r e Ar
r A e e
e r
i
i i
i
α α α α
α
δ
Put x(r)=2Ar2 /(1−r2), then argΓ(r) = −α + φα(x(r)) and the desired result follows using (10).
We obtain another result for argument of G(α,δ), features arg(f′(z) + k) for some real k that satisfy f′(z) + k ≠ 0 for z∈D and for all f ∈G(α,δ). When
2 π /
α = , such a choice is impossible, for if fo is an extreme function in ,
) , (α δ
G then f0′(z)+k maps D onto either Imw >δ or Imw<−δ and since δ <0 both these half planes contain 0. If α ≠ π/2, any choice of k with kcosα + δ >0 ensures that f0′(z) + k ≠ 0 for z∈D, f ∈G(α,δ).
In the statement of the following theorem, for a given α∈[−π,π], and as x varies in some interval [0,c), so that (k+1)eiα +x≠0, ψα(α) is the continuous argument of
x e k+1) iα +
( for which ψα(0) is principal.
Theorem 4.2. Let f ∈G(α,δ), where α ≠ π/2. Put x(r)=2A/(1−r2)(0 ≤ r<1) and let k be a real number such that kcosα + δ > 0. Then
) ( ) 1 ( sin 2 )) ( ( )
) ( ( arg
1 2 1
r C r r Ar
x k
z
f′ + + α − ψα ≤ − −
where ψα(α) is defined on [0,∞) as above, and
2 2
2 2
1 cos ( 1)
1 1
) 4
( ⎟⎟ + +
⎠
⎞
⎜⎜
⎝
⎛ + +
−
= − k k
r A r
r Ar
C α δ . (11)
Proof. Let α ≠ π/2, and let k satisfy kcosα + δ >0. We have, using (6),
1 2
) 2 ) ( ( )
(
r k Ar
r k z
f′ + − Γ + ≤ −
where
1 . 1 2 1
) 2 2 ( )
( 2
2 2
α α α
α i δ i i
i e
r Ar r
A e e
e
r −
− −
−
+ −
− = +
−
−
= Γ
Hence
) ( ) 1 ( sin 2 ) ) ( arg(
) ) ( arg(
1 2 1
r C r k Ar
r k
z
f′ + − Γ + ≤ − − (12)
where C1(r) = Γ(r) + k and is written as in (11). Now
)) ( ( 1
2 2 arg )
) (
arg( 2 ke xr
r e A
k
r α δ iα iα⎥⎦⎤ = −α +ψα
⎢⎣⎡ +
+ −
− +
−
= +
Γ −
and the proof is complete by using (12).
References
1. R.M. Goel and B.S. Mehrok, A class of univalent functions, J. Austral. Maths Soc. (Series A) 35 (1983), 1-17.
2. A.W. Goodman, Univalent Functions, Vol. I and II, Mariner Publishing Co. Inc. Tampa, Florida, 1983.
3. T.H. MacGregor, Functions whose derivative has a positive real part, Trans. Amer. Math. Soc.
104 (1962), 532-537.
4. H. Silverman and E.M. Silvia, On α-close to convex function, Publ. Math. Debrecen, 49 (1996), 532-537.