Journal of Inequalities in Pure and Applied Mathematics CONVEX FUNCTIONS IN A HALF-PLANE, II NICOLAE R. PASCU Green Mountain College One College Circle Poultney, VT 05764, USA. volume 6, issue 4, article 125, 2005. Received 13 August, 2005; accepted 17 October, 2005. Communicated by: H.M. Srivastava EMail: pascun@greenmtn.edu URL: http://www.greenmtn.edu/faculty/pascu_nicolae.asp Abstract Contents JJ J II I Home Page Go Back Close c 2000 Victoria University ISSN (electronic): 1443-5756 241-05 Quit Abstract In the present paper we obtain new sufficient conditions for the univalence and convexity of an analytic function defined in the upper half-plane. In particular, in the case of hydrodynamically normalized functions, we obtain by a different method a known result concerning the convexity and univalence of an analytic function defined in a half-plane. Convex Functions in a Half-plane, II 2000 Mathematics Subject Classification: 30C45. Key words: Univalent function, Convex function, Half-plane. Nicolae R. Pascu I dedicate this paper to the memory of my dear father, Professor Nicolae N. Pascu. Title Page Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Main Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References Contents 3 6 JJ J II I Go Back Close Quit Page 2 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au 1. Introduction In the present paper, we continue the work in [4], by obtaining new sufficient conditions for the convexity and univalence for analytic functions defined in the upper half-plane (Theorems 2.2, 2.3 and 2.4). In particular, under the additional hypothesis (1.2) below, they become necessary and sufficient conditions for convexity and univalence in a half-plane (Corollary 2.5), obtaining thus by a different method the results in [5] and [6]. We begin by establishing the notation and with some preliminary results needed for the proofs. We denote by D = {z ∈ C : Im z > 0} the upper half-plane in C and for π ε ∈ 0, 2 we let Tε be the angular domain defined by: n o π ∗ π (1.1) Tε = z ∈ C : − ε < arg (z) < + ε . 2 2 We say that a function f : D → C is convex if f is univalent in D and f (D) is a convex domain. For an arbitrarily chosen positive real number y0 > 0 we denote by Ay0 the class of functions f : D → C analytic in the upper half-plane D satisfying f (iy0 ) = 0 and such that f 0 (z) 6= 0 for any z ∈ D. In particular, for y0 = 1 we will denote A1 = A. We will refer to the following normalization condition for analytic functions f : D → C as the hydrodynamic normalization: (1.2) lim z→∞,z∈D (f (z) − z) = ai, Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 3 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au where a ≥ 0 is a non-negative real number, and we will denote by H1 the class of analytic functions f : D → C satisfying this condition in the particular case a = 0. For analytic functions satisfying the above normalization condition, J. Stankiewicz and Z. Stankiewicz obtained (see [5] and [6]) the following necessary and sufficient condition for convexity and univalence in a half-plane: Theorem 1.1. If the function f ∈ H1 satisfies: (1.3) f 0 (z) 6= 0, Convex Functions in a Half-plane, II for all z ∈ D and (1.4) Nicolae R. Pascu Im f 00 (z) > 0, f 0 (z) for all z ∈ D, Title Page Contents then f is a convex function. In order to prove our main result we need the following results from [2]: Lemma 1.2. If the function f : D → D is analytic in D, then for any ε ∈ 0, π2 the following limits exist and we have the equalities: lim z→∞,z∈Tε f (z) = lim f 0 (z) = c, z→∞,z∈Tε z where c ≥ 0 is a non-negative real number. Moreover, for any z ∈ D we have the inequality JJ J II I Go Back Close Quit Page 4 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 (1.5) Im f (z) ≥ c Im z, http://jipam.vu.edu.au and if there exists z0 ∈ D such that we have equality in the inequality (1.5), then there exists a real number a such that f (z) = cz + a, for all z ∈ D. Lemma 1.3. If the function f : D → D is analytic in D and hydrodynamically normalized, then for any ε ∈ (0, π2 ) and any natural number n ≥ 2 we have lim z→∞,z∈Tε z n f (n) (z) = 0. Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 5 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au 2. Main Results Let us consider the family of domains Dr,s in the complex plane, defined by Dr,s = {z ∈ C : |z| < r, Im z > s} , where r and s are positive real numbers, 0 < s < r (see Figure 1). Let us note that for any r > 1 and 0 < s < 1 we have the inclusion Dr,s ⊂ D, and that for any z ∈ D arbitrarily fixed, there exists rz > 0 and sz > 0 such that z ∈ Dr,s for any r > rz and any 0 < s < sz (for example, we can choose rz and sz such that they satisfy the conditions rz > |z| and sz ∈ (0, Im z)). We denote by Γr,s = cr ∪ ds the boundary of the domain Dr,s , where cr and ds are the arc of the circle, respectively the line segment, defined by: ( cr = {z ∈ C : |z| = r, z ≥ s} . ds = {z ∈ C : |z| ≤ r, z = s} The curve Γr,s has an exterior normal vector at any point, except for the points a and b (with arg a < arg b) where the line segment ds and the arc of the circle cr meet (see Figure 1). The exterior normal vector to the curve f (cr ) at the point f (z), with z = reit ∈ cr , t ∈ (arg a, arg b), has the argument (2.1) ϕ (t) = arg (zf 0 (z)) , Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit and the exterior normal vector to the curve f (ds ) at the point f (z), with z = x + is ∈ ds , x ∈ (Re b, Re a), has the argument π (2.2) ψ (x) = − + arg f 0 (x + is) . 2 Page 6 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au D cr Drs a ds b Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Figure 1: The domain Drs . Quit Page 7 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au Definition 2.1. We say that the function f ∈ A is convex on the curve Γr,s if the argument of the exterior normal vector to the curve f (Γr,s ) − {f (a), f (b)} is an increasing function. Remark 1. In particular, the condition in the above theorem is satisfied if the functions ϕ and ψ defined by (2.1)–(2.2) are increasing functions. Let us note that for z = reit ∈ cr , we have: it 00 ∂ re f (reit ) ∂ it 0 it 0 it log re f re =i +1 = ln re f reit + iϕ0 (t) , 0 it ∂t f (re ) ∂t and for z ∈ ds : f 00 (x + is) ∂ ∂ log f 0 (x + is) = 0 = ln |f 0 (x + is)| + iψ 0 (x + is) . ∂x f (x + is) ∂x Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page We obtain therefore ϕ0 (t) = reit f 00 (reit ) + 1, f 0 (reit ) for reit ∈ cr , and f 00 (x + is) , f 0 (x + is) for x + is ∈ ds , and from the previous observation it follows that if the function f ∈ A satisfies the inequalities zf 00 (z) f 0 (z) + 1 > 0, z ∈ cr (2.3) , f 00 (z) > 0, z ∈ ds f 0 (z) ψ 0 (x + is) = Contents JJ J II I Go Back Close Quit Page 8 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au the function f is convex on the curve Γr,s , and therefore f (Dr,s ) is a convex domain. Since the function f has in the domain Dr,s bounded by the curve Γr,s a simple zero, from the argument principle it follows that the total variation of the argument of the function f on the curve Γr,s is 2π, and therefore f is injective on the curve Γr,s . From the principle of univalence on the boundary, it follows that the function f is univalent Dr,s . We obtained the following: Theorem 2.1. If the function f belongs to the class A and there exist real numbers 0 < s < 1 < r such that conditions (2.3) are satisfied, then the function f is univalent in the domain Dr,s and f (Dr,s ) is a convex domain. More generally, we have the following: Theorem 2.2. If the function f : D → C belongs to the class A and there exist real numbers 0 < s0 < 1 < r0 such that: (2.4) Re zf 00 (z) +1>0 f 0 (z) for any z ∈ D with |z| > r0 , and (2.5) Im Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close f 00 (z) >0 f 0 (z) for any z ∈ D with Im z < s0 , then the function f is convex and univalent in the half-plane D. Quit Page 9 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au Proof. Let z1 and z2 be arbitrarily fixed distinct points in the half-plane D. For any r > r∗ = max {|z1 | , |z2 |} and any s ∈ (0, s∗ ), where s∗ = min {Im z1 , Im z2 }, the points z1 and z2 belong to the domain Dr,s . From the hypothesis (2.4) and (2.5) and using the Remark 1 it follows that for any r > r0 and s ∈ (0, s0 ) the function f is univalent in the domain Dr,s , and that f (Dr,s ) is a convex domain. Therefore, choosing r > max {r0 , r∗ } and s ∈ (0, s1 ), where s1 = min {s0 , s∗ }, it follows that the points z1 and z2 belong to the domain Dr,s , and since the function f is univalent in the domain Dr,s , we obtain that f (z1 ) 6= f (z2 ). Since z1 and z2 were arbitrarily chosen in the half-plane D, it follows that the function f is univalent in D, concluding the first part of the proof. In order to show that f (D) is a convex domain, we consider w1 and w2 arbitrarily fixed distinct points in f (D), and let z1 = f −1 (w1 ) and z2 = f −1 (w2 ) be their preimages. Repeating the above proof it follows that the points z1 and z2 belong to the domain Dr,s (for any r > max {r0 , r∗ } and s ∈ (0, s1 ), where s1 = min {s0 , s∗ }, in the notation above), and therefore we obtain that w1 = f (z1 ) ∈ f (Dr,s ) and w2 = f (z2 ) ∈ f (Dr,s ). Since f (Dr,s ) is a convex domain, it follows that the line segment [w1 , w2 ] is also contained in the domain f (Dr,s ), and since f (Dr,s ) ⊂ f (D), we obtain that [w1 , w2 ] ⊂ f (D). Since w1 , w2 ∈ f (D) were arbitrarily chosen, it follows that f (D) is a convex domain, concluding the proof. Remark 2. The point z0 = i, in which the functions f belonging to the class A = A1 are normalized can be replaced by any point z0 = iy0 , with y0 > Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 10 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au 0. Repeating the proof of the previous theorem with this new choice for the normalization condition, we obtain the following result which generalizes the previous theorem: Theorem 2.3. If the function f : D → C belongs to the class Ay0 for some y0 > 0, and there exist real numbers 0 < s0 < y0 < r0 such that zf 00 (z) f 0 (z) + 1 > 0, z ∈ D, |z| > r0 , f 00 (z) > 0, z ∈ D, z ∈ (0, s0 ) f 0 (z) then the function f is univalent and convex in the half-plane D. Remark 3. By noticing that the function f : D → C is convex and univalent in D if and only the function f˜ : D → C, fe(z) = f (z) − f (iy0 ) is convex and univalent in D, for any arbitrarily chosen point y0 > 0, and replacing the function f in the previous theorem by fe(z) = f (z) − f (iy0 ), we can eliminate from the hypothesis of this theorem the condition f (iy0 ) = 0, obtaining the following more general result: Theorem 2.4. If the function f : D → C is analytic in D, satisfies f 0 (z) 6= 0 for all z ∈ D and there exist real numbers 0 < s0 < r0 such that the following inequalities hold: zf 00 (z) f 0 (z) + 1 > 0, z ∈ D, |z| > r0 (2.6) , f 00 (z) > 0, z ∈ D, z ∈ (0, s0 ) f 0 (z) Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 11 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au then the function f is convex and univalent in the half-plane D. Example 2.1. For a ∈ R, consider the function fa : D → C defined by fa (z) = z a , z ∈ D, where we have chosen the determination of the power function corresponding to the principal branch of the logarithm, that is: z a = ea log z , z ∈ D, where log z denotes the principal branch of the logarithm (with log i = i π2 ). We have fa0 (i) = aia−1 (a − 1) π (a − 1) π = a cos + i sin 2 2 6= 0, for any a 6= 0. For an arbitrarily chosen z ∈ D we have: 1 fa00 (z) = (a − 1) fa0 (z) z (a − 1) z =− |z|2 >0 Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 12 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au for any a < 1, and also zfa00 (z) + 1 = (a − 1) + 1 fa0 (z) = a >0 for any a > 0. It follows that the hypotheses of the previous theorem are satisfied for any a ∈ (0, 1), and according to this theorem it follows that the function fa (z) = z a (z ∈ D) is convex and univalent in the half-plane D for any a ∈ (0, 1). It is easy to see that the function fa (z) = z a , z ∈ D, is convex and univalent for any a ∈ (−1, 0) ∪ (0, 1), and therefore the previous theorem gives only sufficient conditions for the convexity and univalence of an analytic function defined in the upper half-plane D. Remark 4. As shown in [4], the condition f 00 (z) > 0, z ∈ D, f 0 (z) is a necessary condition (but not also a sufficient one) for an analytic function in D to be convex and univalent in D. However, in the case of a hydrodynamically normalized function, as shown in Theorem 1.1 (see [5] and [6]), this becomes also a sufficient condition for the convexity and the univalence in the half-plane D. We recall that the hydrodynamic normalization used by Stankiewicz in is given by (2.7) lim z→∞,z∈D (f (z) − z) = 0. Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 13 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au In particular, in the case of analytic and hydrodynamically normalized functions in the upper half-plane, from Theorem 2.4 we can obtain as a consequence a new proof of the last cited result, namely a necessary and sufficient condition for the convexity and the univalence of an analytic, hydrodynamically normalized function defined in the half-plane, as follows: Corollary 2.5. If the function f : D → C is analytic and hydrodynamically normalized by (1.2) in the half-plane D, and it satisfies f 0 (z) 6= 0 for all z ∈ D (2.8) and Convex Functions in a Half-plane, II Nicolae R. Pascu 00 (2.9) Im f (z) > 0, f 0 (z) for all z ∈ D, then the function f is convex and univalent in the half-plane D. Proof. Since f satisfies the hydrodynamic normalization condition lim z→∞,z∈D (f (z) − z − ai) = 0, for some a ≥ 0, it follows that for any ε0 > 0 there exists r > 0 such that for z ∈ D with |z| > r we have: Title Page Contents JJ J II I Go Back Close Quit |Im (f (z) − z − ai)| ≤ |f (z) − z − ai| < ε0 , Page 14 of 17 and therefore we obtain J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 Im f (z) > Im z + a − ε0 , http://jipam.vu.edu.au for any z ∈ D with |z| > r. Choosing y0 = max {r, ε − a} and considering the auxiliary function g : D → C defined by g (z) = f (z + 2iy0 ) it follows that for all z ∈ D we have: g (z) = f (z + 2iy0 ) > z + 2y0 + a − ε > y0 > 0, Convex Functions in a Half-plane, II which shows that g : D → D. Since the function f is hydrodynamically normalized, the function g is also hydrodynamically normalized, and from Lemma 1.2 we obtain lim z→∞,z∈Tε f 0 (z + 2iy0 ) = = lim g 0 (z) lim g (z) = 1, z z→∞,z∈Tε z→∞,z∈Tε since from the hydrodynamic normalization condition we have g (z) − z g (z) − 1 = lim z→∞,z∈D z→∞,z∈D z z lim g(z) − z z→∞,z∈D = limz→∞,z∈D z ai = = 0, lim z lim z→∞,z∈D Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 15 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au and therefore we obtain lim z→∞,z∈Tε g(z) z = 1, for any ε ∈ (0, π2 ). From Lemma 1.3, applied to the function g in the particular case n = 2, we obtain: 2 00 lim z g (z) = 0, z→∞,z∈Tε for any ε ∈ (0, lim z→∞,z∈Tε Since π ), 2 and therefore we obtain 2 00 z f (z) = lim (z − 2iy0 )2 g 00 (z − 2iy0 ) z→∞,z∈Tε lim z→∞,z∈D z2 = 0. (z − 2iy0 )2 f 0 (z) = 1, we obtain lim z→∞,z∈Tε zf 00 (z) = 0, f 0 (z) for any ε ∈ (0, π2 ). It follows that for any ε ∈ (0, π2 ) arbitrarily fixed, there exists r0 > 0 such that zf 00 (z) + 1 > 0, f 0 (z) for any z ∈ Tε with |z| > r0 . Following the proof Theorem 2.4 it can be seen that this inequality together with the hypotheses (2.8) and (2.9) suffices for the proof, and therefore the function f is convex and univalent in the half-plane D, concluding the proof. Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 16 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au References [1] F.G. AVHADIEV, Some univalent mappings of the half-plane (Russian), Trudy Sem. Kraev. Zadačam Vyp., 11 (1974), 3–8. [2] N.R. PASCU, Some properties of Caratheodory functions in the half-plane (to appear). [3] N.N. PASCU, On univalent functions in a half-plane, Studia Univ. “BabeşBolyai”, Math., 46(2) (2001), 93–96. [4] N.N. PASCU AND N.R. PASCU, Convex functions functions in a halfplane, J. Inequal. Pure Appl. Math., 4(5) (2003), Art. 102. [ONLINE http://jipam.vu.edu.au/article.php?sid=343]. [5] J. STANKIEWICZ AND Z. STANKIEWICZ, On the classes of functions regular in a half-plane I, Bull. Polish Acad. Sci. Math., 39(1-2) (1991), 49– 56. [6] J. STANKIEWICZ, Geometric properties of functions regular in a halfplane, Current Topics in Analytic Function Theory, World Sci. Publishing, River Edge NJ, pp. 349–362 (1992). Convex Functions in a Half-plane, II Nicolae R. Pascu Title Page Contents JJ J II I Go Back Close Quit Page 17 of 17 J. Ineq. Pure and Appl. Math. 6(4) Art. 125, 2005 http://jipam.vu.edu.au