In .-w.._...r~..-.~~.., _..._ _ ~ . g . ‘ I ' > .g. . T" :‘ "P : Thesis fat The Degree of Ph D l~;:.‘-Eg.;.-_:.¢..}€ , MECHEGAN STATE UNWERSETY ~ ; _ KENNETH P. GOLDBERG ‘ -- - 1973 gnaw-ll K m f3 LIBRARY : Michigan State University «a.- This is to certify that the ..,:.r ”‘3’ '- ‘ thesis entitled . f . ' g _ J T" . ~ “V435 "Qua51symmetr1c Functlons and Quasiconformal Mappings" presented by Kenneth Philip Goldberg has been accepted towards fulfillment of the requirements for Ph u D . deg-6e in Mathematics Major professor Date June 13, 1973 t- ABSTRACT QUASISYMMETRIC FUNCTIONS AND PLANE QUASICONFORMAL MAPPINGS BY Kenneth P. Goldberg In 1928 H. Grotzsch gave a definition of quasiconformal mappings which sought to generalize the concept of conformal mappings. However, these mappings satisfy neither the reflection principle nor the normal family property. both of which are satisfied by conformal mappings. In 1954 L. V. Ahlfors gave a new definition for quasiconformal mappings which in fact extends the class of mappings that are quasi- conformal in the sense of Grotzsch. These new'mappings do satisfy the above two properties. in addition to having many other properties of conformal mappings. The dilatation Dgz 1 of a differentiable topological mapping f: (x.y)-—€>(u.v) of one plane domain onto another is determined by U 2+U 2+V 2+V 2 _Z;, V Ivay - vax D+D-l= Geometrically. D represents the ratio between major and minor axes of the infinitesimal ellipse Obtained by mapping Kenneth P. Goldberg an infinitesimal circle of center (x.y). A mapping is said to be Quasiconformal in the sense of Ahlfors if D is bounded. The least upper bound of D is called the maximal dilatation. Beurling and Ahlfors showed (Acta Math. 1956) that there exists a quasiconformal mapping of the upper half plane onto itself with boundary correspondence x-——>¢(x) if and only if g; op (x+t) - cP (XL (1) h 3 com - O . . . . . functions 05 OS of OS nitions . functions of RB functions functions function product of RB functions relationship between RB functions inverse of an RB function composition of RB functions and OS 14 18 20 23 25 28 33 33 34 35 39 4O 41 42 43 47 59 CHAPTER IV RADIAL EXTENSIONS . . . . . . . . . . . . . . . 62 Section 1: Notation . . . . . . . . . . . . . . . . 62 Section 2: The radial extension . . . . . . . . . . 63 Section 3: The odd radial extension . . . . . . . . 73 Section 4: Extremal radial extensions . . . . . . . 76 Section 5: An application of the extremal radial extension . . . . . . . . . . . . 93 Section 6: General radial mappings . . . . . . . . 94 CHAPTER V ADDITIONAL EXTREMAL EXTENSIONS: A GENERALIZATION OF REICH AND STREBEL . . . . . . . . . . . . . 105 Figure 1.1 Figure 5.1 Figure 5.2 LIST OF FIGURES vi CHAPTER I INTRODUCTION A well-known theorem of Riemann [2. p.172] states that any simply-connected domain 0 whose boundary consists of more than one point can be mapped conformally onto the unit disk. Thus any two such domains 0. 0' can be mapped conformally onto each other. In 1928 H. Grdtzsch [8] posed the following problem: given a square D and a rectangle R which is not a square, can D be mapped conformally onto R so that the vertices correspond? As was subsequently shown by Grotzsch [8]. no such conformal mapping exists. He then asked for the most nearly conformal map of D onto R with vertices corresponding. In order to answer this new question one needs a method of measuring approximate (or quasi) conformality. It was in attempting to supply such a measure that Grotzsch laid the foundations for the modern theory of plane quasiconformal mappings [8]. Let Q be a domain. A quadrilateral in O is a Jordan domain Q. 5 C'Q. together with a pair of disjoint, closed arcs on the boundary of Q (called the b-arcs). If we map Q conformally onto a rectangle with side lengths a and b, ‘with the b-arcs going onto the sides of length b (see Figure 1.1), then the modulus of Q is defined uniquely as E. (1.1) mod Q — b' 2 3 w W z“ 4 3 Q b b-arc b-arc Z] 22 WIW “Ta a Figure 1.1 The modern definition of quasiconformality. as first given by L. V. Ahlfors in 1954 [4] is: Definition 1.1. Let w = f(z) be a sense-preserving homeomorphism from a domain 0 onto a domain 0'. Then f is said to be quasiconformal on Q. or 99, if there is some K, 1gg K < a. satisfying g1 mod Q' (1'2) KS mon SK for all quadrilaterals Q in O with f(Q) = Q'. We define the maximal, or 99, dilatation K(f) g; f ggg Q to be the infimum of all numbers K satisfying (1.2). ;§_ K(f) = KO we say that f ig Kofiggasiconformal (or KO-QC) ggn Q. The above definition. as well as several equivalent ones, is given in [6]. As is easily shown [4, p.8]. f is conformal if and only if K(f) = 1. Thus K(f) can be used as a measure of approximate conformality. We will also find the following definition quite useful later in this paper. Definition 1.2. Let f = u + iv be a sense-preserving homeomorphism of the domain 0 onto the domain 0'. and let (xo.yo) be a point of D at which both u and v have continuous partial derivatives. Let _1_ . __ _1_ . fz — 2(fx ify), f2 — 2(fX + ify). Then f-(x IY ) x (xo'yo) = FZ'EQ—QT z O'YO is called the complex dilatation of f at the point (xo.yo) and 1+‘X(x009)‘ D(X o ) = 0 YO 1-|x(xo.yoll is called the pgint_§i1§§atign_of f at (xo,yo). Moreover, D(xo.yo) satisfies 2 2 2 2 tgéxo.yo)+uy(xo.y0)+vxtxo.yo)+vy(xo.yo) )vx(xo.yo) (1.3) D(x ,y )+ = _ o o D(xo.yo) ‘ux(xo.yo)vy(xooyo) uy(XooYo Remark: It is clear, from Definition B on page 24 of [3], that if f is a QC map of 0 onto 0' then K(f) = ess sup D(z). z E 0 A few of the more important properties of QC maps. whose proofs may be found in [3], are: (i) f is conformal if and only if K(f) = 1. (ii) f is QC if and only if f.1 is QC, and -1 K(f ) = K(f). (iii) The QC dilatation K(f) is invariant under composition with conformal mappings. (I.e., whenever f is QC, 9 is conformal, and fog (gof) is well-defined, then K(f°g) = K(f) (K(9°f) = K(f))). By (iii) above and the theorem of Riemann mentioned at the beginning of this chapter. it can be assumed without loss of generality that both 0 and 0' are the upper half plane H = {z = x+iyly>0}. A problem that aroused considerable interest during the early research in QC mappings was to determine necessary and sufficient conditions on a homeomorphism u of (-o,m) onto itself which would allow u to be extended to a QC map of H onto itself. This problem was completely solved by Ahlfors and Beurling in 1956 [5]. They proved that u can be extended to a QC map of H onto itself if and only if u satisfies a condition now referred to as quasisymmetry. The definition of quasisymmetry is as follows. Definition 1.3. Let u be a continuous, strictly increasing function defined on an interval (a.b) with -agg a < bgg n. Then u is said to be guasisygmetric on (a,b), or 98 on (a.b). if there is some p, lgg p < a, satisfying _1_ u (x+t) - u(x) (1’4) p S u(x)-u(x-t) S p for all x and t with a < x-t < x < x+t < b. The 95 dilatation p(u) f u 0 (a,b) is defined as the infimum ‘ of all numbers p satisfying (1.4). g_§ p(u) = po we say that u gig po-QS 29g (a.b). In Chapter 2 we give an alternative definition of 08 and prove it equivalent to Definition 1.3. Using the new def- inition the class of 98 functions is then shown to be closed gppggr the operations of addition! multiplication, composition ppgythe takingiof invepggp. The remainder of Chapter 2 deals with the prOblem of finding explicit, sharp bounds for the OS dilatation of sums. products. compositions and inverses in terms of the OS dilatation of the original functions. One of the difficulties frequently encountered when working with OS functions is that of determining whether or not a particular function u is QS and. if it is. finding p(u). With this problem in mind we begin Chapter 3 by making the following definition. Definition 1.4. Let u be a strictly increasing self-homeomorphism of [0.o). Then u is said to be ratio bounded on [0.o), or 3p, if there are numbers L, M. O ( nggM < a, such that u satisfies (1.5) nggm a.e. on (0...). u(x) The lower (uppgr) ratio bound L(u) (M(u)) _g, u _p_ [0,.) is defined as the supremum (infimum) of all numbers L (M) satisfying (1.5). In the first part of Chapter 3 it is shown that the class pf RB functions is closed under the opgrations of addition, mgltipligatipn, comppsition and the taking of inverses. Sharp bounds are found for the ratio bounds of these sums. products. compositions and inverses. It is then shown that if a function u is RB on [0,m) gppgp u must also be 05 on (0.») and sharp bounds are found for p(u) on (0.») in terms of L(u) and M(u). At the end of Chapter 3 we prove that if_ u is either ; ggpygxggr concave on [0,a) gppgp u is QS on (O,m) if and only if it is RB on [0,m). In [3] Ahlfors and Beurling give an explicit extension for a OS self-homeomorphism u of (-a,o) to a QC self- homeomorphism of H. We begin Chapter 4 by defining a new extension for u p__ H. This extension is called the radial extension and is shown to be 99 if and only if u is RB on [0.a) and the function v given by v(x) = -u(-x) is RB on [0,.). Sharp bounds are found for the QC dilatation of the radial extension in terms of L(u). M(u). L(v) and M(v). The remainder of Chapter 4 is concerned with the following generalization of the prdblem of Gr6tzsch: ggiygp a homeomorphism u between the boundaries of two domains, find the extension to the interiors of these domains which is most nearly conformal. Such an extension is said to be extremal for the given boundary homeomorphism u. Conditions are given on u for whiCh the gadial:exten- sion is extremal. Questions of uniqueness and non-uniqueness are also investigated. In Chapter 5 we continue our study of extremal mappings and generalize a result of Reich and Strebel [14]. CHAPTER I I QUASISYMMETRIC FUNCTIONS 1. A new definition. As was pointed out in the introduction, a homeomorphism u of (-a.m) onto itself can be extended to a QC map of H onto itself if and only if u is QS according to Definition 1.3. The following theorem gives an alternative formulation of quasisymmetry which is equivalent to Definition 1.3 but better suited to the estimates we want to make in this chapter. Theorem 2.1. Let u be a non-constant fupction defined on an interval (a,b) with -agg a < bgg n. Then u is 98 on (a.b) if and only if (i) u is linear 9; (ii) there is some x. 1/2 < l < 1. such that X1+X2 (2.1) Au(x1) + (1-l)u(x2) gu( 2 )g (l-x)u(x1) + lu(x2) fgr all x1.x2 with a < x1 < x2 < b. 10 Definition 2.1. If u is a nonlinear QS function on (a,b) we define the midpoint dilatation 1(u) of u to be the infimum of all numbers I for which (2.1) holds. The relation (2.1) is called the midpoint condition. The relationship between 1(u) and p(u) is _ JUL _ .2111. Proof of Theorem 2.1. (i) Let u be 08 on (a,b). By Definition 1.2 ;L_ u(x+t) u(x x) (2'3) Po g 11(X) - u(x-t) 3 p0 for all x,t satisfying a < x-t < x < x+t < b, where p0 = p(u). Multiplying (2.3) by the positive expression u(x) - u(x-t) and solving for u(x) gives —9—u (x-t) + “90 —u(X+t) S u(x) 3—“1+10pfl(x't) + —9—u(x+t), 1+1pO 1+pO This double inequality becomes (2.1) if we set x1 = x-t, x2 = x+t. x(u) = po/(1+po). (ii) Let u satisfy (2.1) with 10 = 1(u). It must be shown that 11 a) u is continuous on (a.b). b) u is strictly increasing on (a,b). c) u satisfies (1.4) for some p, lgg p < m. Proof of a: In [3, p.66] it is proved that (2.1) implies the continuity of u. Proof of b: Let x1. x2 be given with a < xl < x2 < b. Then by (2.1) it is clear that the inequality Aou(x1) + (l-l0)u(x2) g Aou(x2) + (l-lo)u(xl) implies (210-1)u(x1) < (ZlO-l)u(x2) or equivalently, since 1/2 < A0 < l, u(x1)gg u(x2). Hence u is non-decreasing. To complete the proof of (b) assume there are points x x with a < x1 < x2 < b and u(xl) = u(xz) = M. Since u 1' 2 is non-decreasing this would imply u(x) = M identically on [x1.x2]. By assumption u is not constant. Hence there is some x3 6 (a.b) for which u(x3) # M. Without loss of generality it can be assumed that x2 < x3. Then by the monotonicity of u, u(xz) = M < u(x3). Let S be defined as (2.4) S = {xlx2 g xgg x3 with u(x) > u(x2) = M]. Clearly x3 6 S so that S is not empty. In addition x2 is 12 a lower bound for S by (2.4). Thus S must have a greatest lower bound (g.l.b.) i with ngg i. If u(x) > M then by continuity there is some e > 0 such that u(x) ; M on (i-e.§). But this contradicts the assumption that i is the g.1.b. of S. Hence u(i) = M and so u(x) = M identically on [xl.§]. Pick 3 > 0 so small that u(i+e) > M and u(i-e) = M. This is possible because i is the g.1.b. of S. Then by (2.1), using the points i-e. i. §+e. we obtain Xou(x-e) + (l-Ao)u(x+e)gg u(x) g (l-lo)u(x-e) + Aou(x+e). The left inequality implies that u(xlgz lou(X-e) + (l-lo)u(x+e) > 10M + (l-lolM = M- But this is obviously a contradiction of u(x) = M. That is, there cannot be any x1 < x with u(xl) = u(xz). Hence u 2 must be strictly increasing on (a,b). Proof of c: The proof is immediate since all the steps in the proof of (i) are reversible. Remark: Looking at the statement of Theorem 2.1 it is reasonable to ask if condition (i) can be omitted by simply changing condition (ii) to allow' 1/2 g 10 < 1. It is obvious that if u is 08 and linear then (2.1) does hold with IO = 1/2. 13 The converse. however. is not true. It is possible to have a non-constant function which satisfies (2.1) with AC = 1/2 but is not 08 on (a.b). To show this we will exhibit an example . In [7. p.150] a function f is constructed. using a Hamel basis x1.x2.....xa,.... a E Q, with the property f(x+y) = f(x) + f(y) for all x.y. Taking x = y we obtain f(2x) = 2f(x). which leads to f(x) = f(2x)/2 or f(x/2) = f(x)/2. Thus for any x,y. «as = fee = ME) + res = + Ew- But this is just (2.1) with A0 = 1/2. As indicated in [7, p.150]. f can be defined arbitrarily on the Hamel basis. Since a Hamel basis has an infinite number of elements. we can choose three elements x x x from this particular basis. 1' 2' 3 Assume without loss of generality that in the usual ordering of the reals we have x1 < x2 < x3. and define f(xl) = 0, f(xz) = l. f(x3) = 0 and f = O for all the other elements in this basis. Let u = f. Then u satisfies (2.1) with A0 = 1/2 because f does. The function u is not constant since u(xl) ¥ u(xz). Yet u cannot be QS because it is not even monotonic since x1 < x2 < x3 with u(xl) < u(x2) and u(x2) > u(x3). Hence condition (i) cannot be omitted in the statement of Theorem 2.1. l4 2. Upper and lower bounds. In order to Obtain upper and lower bounds for a QS function u on the interior of an interval when the function values are known at the endpoints. we define the following two functions P(l) and p(l) on [0.1]. If fi+i+ +9 2 22 2 A: a]: 4. (ai = 0 or 1) is the binary expansion of A E [0.1]. then (205) 90.) = P (I) = X [6 +x 9+). A e +...+>. x ...). 9+...]. A0 0 1 e1 2 e1 e2 3 e1 e2 en-1 n p(1)=p (M =l[e+l_ 6+X_ A_ 9+...+)._ ...)._ e+...], x0 1119121911923 191 len_ln where 10. 1/2 g x0 < l, is the midpoint dilatation of u (Cf. Definition 2.1) and l = 1-10. When there is no chance 1 of confusion we will use P. p in place of PA . Pl . 0 0 respectively. Theorem 2.2. Let u be a Q§ function on (a.b) and le x1. x2 6 (a.b) be given. Then for any 1 6 [0.1], u[(l->.)x1 + 1x2] g [1-P(l)]u(x1) + P(l)u(x2). (2.6) u[(l-l)x1 + 1x2] 2_[1-p(l)]u(xl) + p(l)u(x2). lS gpggf: In a paper by R. Salem [15] P and p are shown to be continuous. strictly increasing functions mapping [0.1] onto itself. If v is QS with v(0) = 0, v(l) = 1, then by (2.1) and the method of construction of P and p in [15] we must have p(i) g v0.) g pm for all A e [0.1] with a finite binary expansion. But the set of these numbers is dense in [0.1]. Hence. by the continuity of v.P and 13. pm g v0.) g P(x) for all I e [0.1]. If we now take any 08 function u and set u[(l-l)x1+lx;l-u(xl) V(X) = u(x2)-u(x1) then v is QS with v(0) = 0. v(l) = 1. Hence u[(1-1)xl+lx2]-u(xl) P0.) g v(l) = u;fi(x2)-u(’xT) g P(l). Solving for u[(l-l)xl+lx2] gives the desired bounds. Theorem 2.3. P(t) + p(l-t) = l identically on [0,1]. 3%: Define f(t) = P(t) + p(l-t) on [0.1]. Since P and p are both continuous [15], so is f. It will be shown by induction on n that f(t) = 1 when t is of the form t = m/Zn, n = 0.1.2.... and m = 0.1,....2n. Since the set of all such t is dense in [0,1] the continuity of f will then imply f(x) = 1 identically on [0,1]. 16 (i) Let n = 0. Then m can be either 0 or 1 and f(0) = P(O) + p(l-O) = 0 + l = l, f(1) = P(l) + p(l-l) = 1. (ii) Let n = 1. Then m can be either 0.1, or 2. But the cases m = 0 and m = 2 are covered by (i), while m = 1 gives f(l/2) = P(1/2) + p(l-(l/2)) = 10 + l = 1. 1 (iii) Assume f(t) = 1 for all t: of the form N N +1 N +1 t=m/20and1et t0=m/2°, ogmgzo. If m=O NO+1 or m = 2 then t = 0 or 1, respectively. These cases have been treated in (i). N Let m be an even number. Then m = 2k, lgg k < 2 0-1, N +1 N +1 N and so t = m/2 O = 2k/2 O = k/2 0. By the induction N0 hypothesis this would imply f(t) = f(k/Z ) = 1. Let m be an odd number. Then m-l and m+1 are both even. Hence m-l = 2k m+1 = 2k for some k , k N 1' 2 1 2 with ogkl/2) N0+1 N0+1N0+1 Nb+l 2 2 2 2 17 NO NO NO NO P([(kl/2 ) + (kz/z )1/2) + p([(1-k1/2 )+(1-k2/2 )1/2) No No [119(k1/2 ) + 109(k2/2 )] NO NO + [Alp(1-kl/2 ) + Xop(l-k2/2 )] NO NO xlf(k1/2 ) + Aof(k2/2 ). Hence, by the induction hypothesis, (2.7) reduces to 11 + 10 = 1. The induction proof is completed. Corollapy 2.3. p'1(1/2) + p'l(1/2) = 1. Proof: Since P(O) = 0. P(l) = 1 and P is continuous. there must be some t1 6 (0.1) with P(tl) = 1/2 or. equi- valently. t = P-1(l/2). Similarly p(O) = 0. p(1) = 1 1 and p continuous imply the existence of a t2 6 (0,1) with t2 = p-1(1/2). By Theorem 2.3. 1/2 = P(tl) = 1-p(1-tl). Hence p(l-tl) = 1/2 = P(t2)° Since p is strictly increasing, p(l-tl) = p(tz) implies 1-tl = t2 or tl + t2 = 1. Substituting t = P.1(1/2), t = p-1(1/2) gives 1 p71(1/2) + p'1(1/2) = 1. 2 18 3. The powe; fupctions u(x) = x0, a > 0. Corollary 2.3 will be found to be very useful later in this chapter. Also quite useful is Lemma 2.1. Let u(x) = xa, a > 0, on [0,w). Then u is OS on (o,e) with 1 (2.8) p(u) = max 2“ - 1, . 1 } Proof: It is clear that 1 2a-1 if o.2 1 max {2a-1. } = 1. . 2a-1 _ET—' if 0 < o < 1 2 -1 The cases qu 1 and O < o < 1 will be treated separately. (i) Assume a.2 1 and let x,t be given arbitrarily with x > O. 0 < t < x. Then x+t o _ 1 (2 9) u(x+t) -ULX)=(X+§£'£=(X) = 1+Sa-l u(x) - u(x-t) x01 _ (x-t)a 1 _ (my 1 .. (1-s)°‘ X 1+3,“ - 1 =—-—§——— with O = (u(x1)+U(x3))/2 = Y2 by Theorem 2.2. Since u is monotone increasing this gives x2 2_(l-):)xl + Xx3. Similarly, u(ix1+(1-X)x3) = u((l-(l—anl + (l-X)x3) 2.<1-p(1-X))u(xl) + p(l-X)ug(1+1/p(11)) _ 1. K(u) = P . 10 n 2_0. and P(l/ZO) = and P Since P(l) = 1 > 1/2. k such that k — k 0 P(l/2 ). 28 Since P is strictly increasing (2.11) is equivalent to 1/2k+1 g P-1(1/2) < (l/2k), which reduces easily to (2.12) 1 - 1/2k < 1-P'1(1/2) = p'1(1/2) g 1-1/2k+1. Solving (2.11) for k gives 10g 2 = log 2g k k 3 log (1/10) log (1+1/p (u)) < “‘1' and thus log 2 ZR‘S 2 log(l+1/p(u)) . Hence, by Theorem 2.7 and (2.12) we find the desired bound lo _ _____;a_2______ -1 2 1(142) _g _—__/_2:+_ = = S m+1/mm. p (1/2) 1/2k+l 7. The composition of 98 functions. Theorem 2.8. Let ul, u2. .... un be Q§ functions such that the domain of each ui+1 is contained in the range of thegpgeceding ui. Then the composed function u defined gag u(x) = u oun_lo...ou1(x) is also 95 and pn(1/2) P ‘u’ 5 I-EIn (1/2) = ... . ' ' t where Pn PMun)oPMu )0 °PA(u1) This result is sharp n-l 29 Proof: The proof is by induction on n. (i) Assume n = 2 and let x .x 6 (a,b) be given. 1 2 ‘where (a,b) is the domain of u . Let c = PA 1 (1(u1)). (“2) Then by Theorem 2.1 and Theorem 2.2 X1+X2 xl+x2 “ “2‘“1‘ 2 V I )) g_u2((1-A(u1))ul(x1)+A(u1)u1(x2)) (u )(A(u1))u(x2) gg (l-Px(u2)(A(ul)))u(xl)+Px 2 (l-c)u(x1)+cu(x2). Similarly x1+x xl+x tit—jg'z) - u2(u1(-3fjh) 2.(l-Px(u2)(1-X(ul)))u(x1)+PA(u2)(1-X(u1))11(x2) = P )(A(ul))u(x1)+(1-P A(u2 u )(A(u1)))u(x2) A( 2 = cu(x1)+(l-c)u(x2). Hence x+x cu(x1)+(l-c)u(x2)$u(—;5-z)g(l-c)u(xl)+cu(x2). By Theorem 2.1 u is 08 on (a,b) and A(u)gc = PA (A(u )) (u2) l Pl(u2)(Pl(u1)1/2)) = P2(l/2). Changing to the QS dilatation, this becomes 3O 92(1/2) p(u)-S 1-P2(1/2) (ii) Assume the theorem true for n = NO and let G u u u Then u u G But u is = o o. o o O O = . o N -1 +1 1 Nb 0 1 Nb Nb+ assumed QS and G is 08 by the induction hypothesis with A(G)g P (1/2). Hence. by part (i). u = u .G is also Nb NO+1 QS and A (1/2)) = Pl(u (1(u)) Nb+ Mu) Mu oG)gP (P Nb+l) A No+l A (u (3) (1/2). p +1 N0 By Definition 2.1 this is equivalent to PNo+l(l/2) p(u).s _ 1 PN +1(1/2) O ”i Equality holds when ui(x) = x . i = 1,2,....n. on [0.«) for any choice of a1.a2.....ah with all gig 1. F0. Obviously u(x) = x l on [0,o). so that Lemma 2.1 gives a. P(u.) i 1(u.) =""""""1-"""==“Z“—l : 1 - l for each i. i 1+p(u.) a. o. i 2 i 2 i 77a. It is now trivial to show by induction that Pn(1/2) = 1-1/2 1. Hence No ”“i 1-1 1 P (1/2) p(u) = 2 -l = _n Fa. = 1-p (1/2) ' 1/2 1 n 31 Remark: It would be interesting. in Theorem 2.8. to see how p(u) depends on the individual p(ui). For simplicity we will restrict the investigation to the case n = 2. If n = 2 then by Theorem 2.8 92(1/2) P1(u2)(*(“1’) (2°13) P(u) = P(uzoul) g I:P;7I7§T = l-P1(u2)(x(ul)) since l/2g1(ul) O. u(O) = 0, l where X is some real valued measurable function on (0,o) with (3.4) sup |x(s)| < 1. ess sup lx(S)l = 372% < 1. 0 0 =; u(x2) > u(xl). Thus u is strictly increasing. It is also trivial to show from the form of u (3.3) that u is normalized according to (3.1). Finally, a. e. on (00 “)0 . _J-JML}. u (x) - 1'X(x) x u(x) whence o<_1_qu x _1+X(81 u(x) - l-x(x)'S'Q < a a.e. on (030). 37 By definition 3.1 u is RB with 1/QgLOgMOg Q, and either L0 = 1/0 or MO in the second part of (3.4). Hence Q = max[MO.1/LO}. = 0: otherwise there could not be equality (ii) Assume u is RB with ratio bounds L0 and MO. Then since u is monotonic. u' exists a.e. on (0,o) and is measurable. Let Q = max[MO,l/LO] 2_l and define X by su' s —u s . wherever u' exists su (s)+u(s) (3-5) x(8) = O elsewhere Then X is measurable on (0,») and sup |x(s)l = ess sup |x(s)l = (Q-l)/(Q+1) < 1. 0 0, u(O) = O, ‘which implies that M'MSMO a.e. on (0,0)- LO'S l-x(s) - u(s) Hence b L b 13M L() I '—Q' ds I i: (S) _d_s_ I "Q ds MO p_ _ a £5 a X s 8 __11fln e a S _ jp (a) - e 'g e - u(a)S - 1a) (ii) Assume L0 “0 (3.7) (‘3) g fi‘fifi' g ('5') for all O 0 implies u(b)/u(a) 2_(b/a) > 1 for any a < b. O 'which means u is strictly increasing. Hence u must also 'be differentiable a.e. on (0.»). If x e (0.w) is a point of differentiability for u. then for any h > 0 (3.7) gives 39 LO LO M0 M0 g_ _ u(x+h) x+h _ [h 1+x) - Kt?!) g u(x) 3 K x ) — (1+x) a.e., or L M h o h 0 (l+-) -1 (l+—) -1 x u(x+h)-u(x) x (3.8) Jh u(x) g h g h u(x) a.e. Letting h approach 0. (3.8) reduces easily to L0 MO 3"" u(x) g u' (x) g '3"— u(x) a.e. on (0, no) , ‘which is equivalent to xu'(x) Log u(x) 3M0 a.e. on (0.»). Therefore u is RB. CLOSURE PROPERTIES 4. The sum of RB functions. Theorem 3.3. Let ul, u2. ....un be RB functions with ratio bounds L(ui) = Li' M(ui) = Mi, i = 1. 2.....n. Then n the function v =(l/n) Z) ui is also RB, and i=1 L(v) 2 min {L.}. M(v) 3 max {Mi}. lgign 1 Igign This result is sharp! 40 Proof: Let L = min [Li]. M0 = max [M.]. Then 1313!! 1 £1 gn 1 (3-9) Loui(X) g xui(x) ggMoui(x) a.e. on (0.m) for each i. By the subadditivity of measure. however, the set of points at which any of the ui does not satisfy (3.9) has measure 0. Hence n n n ‘33 Loui XV. x xx? ui (x) i3 M011i Loz—rT—S v(x) =-l'-1——S—I-l———=MO a.e. on (0.ao). ZDu. Z)u.(x) Z3u. 1 1 1 1 1 1 The proofs of continuity. monotonicity and normality follow trivially from the definition of v. (I Equality holds when ui(x) = x on [0,a). i = 1.2.....n, for some a 2,1. 5. The product of RB functions. Thegpem 3.4. Let u1.u2.....un be RB functions. . n Then thegggnction v = H 111 is also RB, and n n L(v) 22L” M(v) $2M.. 1 1 1 1 This result is sharp! 41 n n Proof: Let L = Z L.. M = 2311,. By the subadditivity “———' O 1 i O 1 i of measure. Liui(X)'S xui(x) g Miui(X) a.e. on (O,a) for each 1 implies n x Z)(u!(x) H uj(x)) I ' '- (X) xv'(x) _ i=1 1 1¢i fi___ n xu Lo.g v(x) —- n — .Ei u (x) g MO a.e. on (0.x). H 11.(x) l- i=1 3 The proofs of continuity. monotonicity and normality follow trivially from the definition of v. i Equality holds when ui(x) = u on [0.o). i=1.2.....n, for any choice of the ai all greater than 0. 6. The inverse gf an 33 function. Theorem 3.5. f u is an RB function then so is u . L(u-l) = l/M(u), M(u-l) = l/L(u). Proof: Let v = u . It is obvious that the continuity. monotonicity and normality of u imply the same properties for v. Since v is monotonic it is differentiable a.e. Let yo be a point at which v is differentiable. Then also u 42 :must be differentiable at x0, where x0 = v(yo). Also v'(yo) = l/u'(xo) implies that 1 . ‘u(x l'fi“"' 1 S.y v (YO) _ 0 u (x0)._ u(xo) 1 a e on (0 w) .M(u) v(yo) ’ x0 " xou'(xo)‘g L(u) ° ° ' 7. The composition of RB fupctions. Theorem 3.6._ Let ul.u2.....un be RB functions. Then the compgsition function v = unoun_lo...ou1 is also RB, and n n L(v) 2 n L.. M(v) g n Mi. i=1 1 i=1 This result is sharp: 2599;: The proof is by induction on n. (i) Assume n = 2. Then v = uzoul. The proofs of continuity. monotonicity and normality follow trivially from the definition of v. Hence v is differentiable a.e. on (0.»). Let xo be a point of differentiability for v and let yo = u1(xo). Then v'(xo) = ui(yo)ui(xo). Since v(xo) = u2(yo) and y0 = u1(xb) we thus have L L .g XOV'(xg) = xgué(yg)ui(xo) y = Ygué(yg) . xoui(xo) 1 2 v(xo) u2(yo) u1(xo) u2(yo) u1(xo) S M1142 a.e. on (O. a) o 43 (ii) Assume the theorem true for n = NO and let A . u ov. But u 15 +1 +1 N0 N0 0 = ‘JNoouNo-1Oo o o oulo Then V = RB by assumption and 0 is RB by the induction hypothesis wi th A NC) A NO L(v); H L.. M(v) g;n M.. i i l 1 Hence. by part (i). v = uN +lo9 is also RB and O A A No+l A L(v) = L(uN +1av) Z'LN +1°L(v)g2 II Li' M(v) = M(uN +1ov) O O l O A NO+1 3 MN +1°MM 3 n Mi' 0 1 “i Equality holds when ui(x) = x on [0,o). i = l,2,...,n. for any choice of the “i all greater than 0. 8. The class TL M of RB functions. 0 Definition 3.2. For given L. M E (0.a) with L i M, let TL M denote the class of RB functions u with L(u) 2 L. I and M(u) 3M. ______Lema 3-1- La 11 W tom) and su se {ui} converges to u pgintwise on [0.«) and uniformly on compact subsets. where 111 6 TL M for each i. 0 Then u e T also. L,M 44 Proof: Since ui(0) = 0 and ui(l) = l for each i. we obviously have u(O) = 0. u(l) = 1 as well. by the pointwise convergence of the ui. Also. ui(x) > 0 for each i and any x > 0, so that u(x) 2_0. Suppose there exist x .x e (0.«) l ‘with u(xl) > u(xz). Let d = u(xl) - u(xz) > 0. Since 2 [uil converges uniformly to u on the compact set [XI/2. 2x2]. there exists an Nb such that )uNo(x1)-u(xlll < 6/4,] uNb(x2)-u(x2)|< d/4. Then uNo(x1)g2 u(x1)-d/4 = u(x2)+3d/4 > u(x2)+d/4 > uno(x2). Therefore (x ) > (x ), which is impossible since u “No 1 uuo 2 NO is strictly increasing. Therefore u is non-decreasing. The proof will be completed by showing that for any x1.x2 6 (0.o) ‘with x1 < x2. x L u(x ) x M _Z. 2 .4; (3°10) )xl)'s u(xl)‘S 1x1) , Given any integer No, let 6 = u(x1)/2(2Nb+l). By the uniform convergence of [ui} to u on [XI/2' 2x2], there exists an n such that 0 < un(x1)-e g u(xl) g un(xl)+e. un(x2)-e g u(xz) g un(x2)+e. 45 Thus Mx) u(X)+e u(x) 11(X) __2__S_B__2___=_B__2_ __n___2___ u(x ) un(x1)-e un(x1) 1 g 1 u (x ) ___£___. 3 :2 M 1 un(x1) g :2 M l+u(x1)-e: (x1) 1 g le) 1 a un (x1) u(X1)-e = K22)!“ u(xul ()x- 1:2)6 k:l)M[1+—_] Since No can be chosen arbitrarily large. this means that u(x2)/u(x1) g (xz/xl)M. Similarly, we find that u(x2)/u(x1) 2.(x2/x1)L. Thus (3.10) holds. By Theorem 3.2 u must be RB with L(u) 2 L, M(u) g_M. Hence u E T L.M' Theorem 3.7. TL M is compact under uniform convergence I on compact subsets of (0.m). Proof: We begin by showing that T is equicontinuous L,M on compact subsets of (O.¢). Let S be a compact subset of (O.o). Then there exist positive numbers a,b 'with o 0. let = a((1+e/2bM 1). Let u 6 T and x .x 6 S ‘with x < x Then by Theorem 3.2. L,M 1 2 l 2 u(b) = u(b)/u(l) g,b W(u)'s . Hence 46 Ixz-x1| < 6 implies that xz/xl < l + (6/x1)‘g l + (6/a), ‘which implies further that u(x ) — -- - = _—-'2_- |u(x2) u(x1)| — u(xz) u(xl) u(xl) Lu(x1) lJ gnu»): :ZM-l ngL1+9-M-1 kal) J k a) J =1, is... ._._.e<€. "LZbMJ 2 Thus T is equicontinuous on compact subsets of (O.a). L.M Now let x E (O.w). It must be shown that S = {u(x)lu E T } is bounded. If x = 1 then S = {l} by X LoM the normality condition. and {l} is Obviously bounded. Suppose O < x < 1. Then by Theorem 3.2. using a = x and M L]. b = l, we Obtain x" g_u(x) g xL. so Sx c:[x ,x Hence Sx is bounded. Finally, if x > 1 then by Theorem 3.2 ‘with a = l and b = x ‘we find xL.g’u(x)‘g xM, so Sx C’fo, xM] is bounded. Hence T satisfies al’ the conditions of Ascoli's L.M of elements from T has Theorem, so any sequence (ui} L.M a subsequence which converges to a continuous function u pointwise on (0,») and uniformly on compact subsets of (0.»). By Lemma 3.1 u e T L,M . Therefore T is compact. , L.M 47 Corollary 3.7. For any a > 0, let ua(x) = xa gr; [0.en). Then for any LI“! 6 (0,...) with LgM, uL E TL,M and uM E TL,M° Also, for any_ u E TL.M we have uM(x) g u(x) g uL(x) for all x 6 [0.1], uL(x) S u(x) g uM(x) for all x E [l,m). Proof: The proof is immediate from Theorem 3.2. If x E [0.1] take a = x, b = 1. If x E [l,m) take a = l, b = x. FIRST APPLICATION 9. The relationship between RB and Q5. It will be shown in this section that any function u which is RB on [0,m) must also be 05 on (O.c). Sharp bounds on p(u) 'will be found in terms of L(u) and M(u). The following lemmas will be found quite useful. Lemma 3.2. Let T > 0. Then T > 2T - 1 .;§ Ol. T Proof: Let f(T) 2 - l - T for T 2_O. Clearly f(0) = o and £(1) 0. Furthermore, f'(T) = 2T log 2 - 1 has only one zero T with O 0 0 everywhere. Therefore the critical point To must be a 48 minimum and so f is decreasing on (0.1) and increasing on (l,o). This completes the proof. Lemma 3.3. f T > 0 and O 0 if T > 1 . Case 1: If O 1 then by (3.11) 51 is a minimum point of f and T T-l (Sl - 81 - sl - s1 2 ° Hence 50 f(s) 2 min [f(O). f(l), T} = min (T. 2T - l}, f(s) g.max [f(O). f(l)} = max[T,2T-1}. Lemma 3.4. f T > O and O o if O 1. (3.15) 9"(51) is 51 Case 1: If O 1 then by (3.15) s1 is a maximum point for g and Hence 9(8) gmax (9(0). 9(1). T} = max {LT}. 9(8) 2min (9(0). 9(1)} = min {1. T}. Theorem 3.8. Let u. be, RB 9g, [0,o) with ratio bounds L = L(u), M = M(u). Then u must also be 98 on 52 (i) 2L-1 g 80:) g 2M-1 if 1991, .. 1 A 1 . (11) T's p(u) g L if Lgmgl, 2 -l 2 -l A M M M 2 M-L M-l 1-L ... _ _. _.__—. m, _ (m) p(u) smax { L . 2 1. L. L5H) < 1) (1 L) 1 2 -1 if L<10. Ox, and remembering that u is continuous on [0.m) with u(O) = O, we find that l u(2x) A 6“) S u(x) - 1 S P(LI). Thus 8m); M_12KZ£)L_1=2L_L u(x) x 1 u(2x) _ 2;,M _ _ M _ Tongue) lskx) 1-2 1. 53 Hence 8(u) 2 max{2L-1, 1/(2M_1) }. The lower bounds in cases (i) and (ii) follow simply from this inequality. To find upper bounds for 3(u) let x 6 (O.m)o OO then h'(so) = o for so= (M+L-2)/(M-L) E (0.1] since L31 implies M+L-2§M-L. 56 And in this case h increases from S0 = O to S0 = (M+L-2)/(M-L) and then decreases until s0 = 1. So if M+L-2>O then the supremum of h on (0.1) is M+L~2 _ M-l l-L h(——M_L) - ;(—;-M L)” 1‘04 1) (1 L) . Thus. in any case, if 50 is any critical point for f on (0.1) then mo) 3 mam-”If. ”-(-%-)“'L(M-1)M’1(1-L)1'1‘). This means. finally. that _2__ M-L M-l l-L} M-L ) (M-l) (l-L) a = max£f<0). f(l). f(son s mam-E. 2M-1. % ( Now suppose s O 1 and so we are in case (iii). Looking at the upper bound in case (iii) of Theorem 3.8 we see that M 23/2-1 = 2¢2 -1 < 2(3/2)-1 = 3-1 = 2. N I ..a ll l/(ZL-l) = 1/(21/2-1) < l/(1.4-1) = l/.4 = 5/2. M/L (3/2)/(1/2) = 3. L 1/2 /2 = (m/L) (2m—L))”"(u-1)M'1(1-L)1' (3) (2) (1/2) (1/2)1 3. Hence the upper bound says 8(u) g 3. But if we take x = 1 in the definition of 08 then we find u(l+t)-u(l) _ 1+t 3/2-1 u(l)-u(l-t) “ 1/ ‘ 1-(1-t) 59 u(l+t) -u(lL _ . A Thus 11m¥+u(l)-u(l-t) - 3 so that p(u) 2_3. Hence we must 1?—>O have 3(u) = 3. which shows that equality holds in case (iii). 10. Convex anchoncave functions. If we look back at Theorem 2.1 we can think of (2.1) as a generalized convexity-concavity condition. For if 10 = 1/2 then the left inequality becomes the condition for the concavity of u and the right inequality becomes the condition for the convexity of u. Then it is natural to ask:, If u is concave or convex. what else is needed to show that u is QS? The answer is contained in the next two theorems. Theogem 3.9. Let u §§,a continuous. monotone function 23_ [0.w). and normalized according to (3.1). Furthermore. su se u is convexggn (O.w). Then u is 98 if and gnly if it is RB. Moreover, if u i§_ 05. then (3 . 18) 1gL(u) . 2L-1g8 (u) gzM-l. This result is sharp: Proof: (1) Assume u RB and let xo be any point of differentiability for u. (Since u is monotonic it must be differentiable a.e.). since u is assumed to be convex we can use statement (1.4) of [10, p.3] if we simply reverse 60 both of the inequality symbols. Hence u(xo)-u(xO-h) u(xO)-u(0) _ u(xo) h 2' xO-O -' xO Letting h-€>O+. we find that u(x )-u(x -h) u(x ) lim+ O h9 =u'(x0)>_ x . 1v->O O or x u'(x ) O O u(xo) 2'1. Therefore L(u) 2.1. Case (i) of Theorem 3.8 now shows that u is 08. and gives the desired bounds. (ii) Now assume that u is 05 on (O.m) with OS dilatation 6(u). Then again by (1.4) of [10, p.3] with both inequalities reversed, u(xQ)-u(x -h) u(2xo)-u(xo) O h 'S xO _ u(2xo)-u(xgl . u(xo)-u(0) u(xo)-u(0) xO u(x ) g 301) x0 . o Letting h-€>O+, we find that u'(xo) g_8(u) u(xo)/xo or x u'(x ) O Q A u(xo) S P (u) . 61 And. as we showed in part (i) of this proof, x u'(x ) O O __57;;T—'2'1’ Therefore u is RB. Again, since L(u) 2.1 we may apply case (i) of Theorem 3.8. and the bounds follow. Equality holds in (3.18) if we take u(x) = x for Q§x 0. O<9 0} onto itself. 64 Proof: It is Obvious from the definition of fu that arg fu(z) = arg z for Im z > 0; hence fu maps each ray with argument between 0 and F onto itself. But lfu(reie) l = ul(r)(7T--y)/Trou2(fly/Tr increases monotonically from 0 to m as r increases from 0 to m. Hence fu is a one-to-one map of H onto itself. Since arg fu and Iful are both continuous functions of arg z and lzl. fu must be a bi-continuous mapping. Finally. taking 6 = 0. e = F shows that fu = u on (-m.m). so that fu is an extension of u to H. Theorem 4.1. Let u be a 08 map of (-a.o) onto itself. Then the radial extension fu is C if and only if u is RB on both (-m.0] and [0.m). Furthermore. if_ f i§_ QC. then u 2 _ _ + -4 Q - K(f“) - 2 where 6 = ess sup 6(x)’ -a [I]? U(x) + %v (x)] + iy for ~m o. (U'(x0)+yh'(xo)) dy 0 'Therefore. any interior extremum will be a minimum. not a Inaximum. So l+h2(x ) l+h2(x ) sup (D(xO .y)+D-'(—"---'-X1 )) = mafo' (X0)+—IT'_(—x—)2-' V' “(OH-17%} o 0 there 1 exists a set ‘W c (-w.m) with positive one-dimensional measure 70 on which U'(x‘ > A. But then the set Wx(0,n/2) has positive two-dimensional measure and for any (x0,y0) in Wx(0,v/2) we have 2 1+h (x0) U (x0)+yh (x0) + ____1_ D(xoo YO) D(xo.y0) (U'(x0)+yh'(x0)) + 2 1+h (x0) _ m . +x . — ( U (X ) V (x )) + _ 7’ ° 7’ ° (EfUWxOHffoOM 1r "’2' 2,(-;-11 (xo)+0) + o U'(xO)/2 > A/2. Therefore. for any A > 0 there exists a set of positive measure in Q on which D + l/D > A/Z. Thus D + l/D. and hence also D, cannot be bounded a.e. in 0. This means that g, and hence also fu' is not QC. Corollary 4.1. Under the hypgtheses of Theorem 4.1 ...a (D L1,M1 and L2.M2 be the ratio bounds of u .gg [0,m) and (-m,0], respectiyelv. Also let p0 = po(u) be the smallest constant greater than or eggal to l for which (t) u(t}-u§02_ u1 (4.8) —.g _ ‘g p0 for all t > 0. p0 u(O) U(- 1:)= u21(t) ““““ Then 109 P K(fu) + I“: ) g max[L + l(1+(-——-Q)2). M + -(14(1-—-p£)2 )} u ‘where L = min[L1.L2}, M = max{M1.M2}. 71 Proof: Consider the function x + a/x, where a is a positive constant. Then 6 a. a d2 a. 2a .E;(x+;) = l-‘33 -—31x+;) = -§-> o for x > O. x dx x So if this function is defined on an interval, any maximum must occur at an endpoint. Now apply this reasoning to the expression l+h2(xo) U! (x0) + ”_U' (x0) . van—v(x) 1 3.25:). 333.32 since ngUKng and h(x) = =‘— log .g . n F v u (e ) l we have 2 1+h (x ) log p log p (4.9) U (x0)+ U'(xo) .g max[L1+Ll(l+( 1r ) ), M1+M1(l+( "_ ) )}. Similarly 2 1+h (x ) log p log p . ____Q._ _1_ ___9. 2 A _J 2 (4.10) V (xo)+ V'(xo) ‘g,max{L2+L2(l+( 1r ) ), M2+M2(l+( 1r ) )}. By Theorem 4.1 we are looking for the maximum of the four right-hand terms in (4.9) and (4.10). But these are all of the form x + a/x with a = 1 + (iii—{22¢ and, as we have already shown. any maximum must occur at an endpoint. Since the values L1.M L2,M2 are contained in the interval 10 [L.M], where L = min{L1.L2} and M = max{M1.M2}, all four terms can be replaced by the maximum of the two terms using L and M. The desired bound follows easily. 72 Theorem 4.2. Let u be S on (-m.m) and RB on both [0.w) and (~m.0]. Let p1 = p(ul) and p2 = p(uz). _1_: (i) u1 and u2 are convex. then 1+< O and x < O. In this case we would have ended up with x 4 - m and x 4 0’ instead of x 4 a and x a 0+ in (4.11) and (4.12), respectively. This completestfluaproof. As we shall soon see, equality holds when u(x) = (sign x)|x|a, a > O. Equality holds in the lower bound for o_ max{ lim M, 11m '——(—L . lim xu x u x + ) - u(x ) u x x 40 x*O x4» x4- whenever any of these limits exists. Both tgungs are sharp: 2399:: Since all the cases are similar we will treat only x 4 0. Assume lim xu'(x)/u(x) = A xaa exists, where A can be finite or infinite. This implies that xu'(x)/u(x) is actually defined on some interval (a,m). But we know that x and u(x) exist on (a.w). Thus u' must also exist on (a.o). That is. u is differentiable on (a.«). Thus we can apply l'HSpital's rule to the ratio 81 log u(x)/log x to obtain 0 I ' O . 11m log u(x) = 11m u (x)(u(x) = 11m xu (x) . log x 1/x u(X) x4» x+m x4e Equality again holds for u(x) = (sign x)|xla. a > 0. Theorem 4.7. Let u Qt OS on (-m,m) and RB on both (-o.O] and [0.m). Let I I B=limxux, c=1im"“", x40+ u(x) x-oO- u(x) I I D=1imxux, E=limxux. x4” u(x) xe-o u(x) and put 1 1 1 1 A = max{B. 3' c. 3' D. 3. E, E}. gt, A 2_Q.'where Q is defined as in Theorem 4,1, then the radial extension fu is extremal for u, and hence K = K(fu) = Q. Proof: By Corollary 4.6 we must have Ku 2_A. Thus K(fu) 2_A. If K(fu) = Q gLA, however. then by the definition of Ku we must have K(fu) = Ku' Hence the radial extension fu is extremal. Theorem 4.8. Let u be Q§ on (-o,m). odd, and RB on [0.6) with ratio bounds L and M. Let Q = max{M,l/L}. If any one of the four conditions 82 (1) X131 *3}; = 0. (iii) ii: x31xf = 0. (iv) lim X3}; .= 215-, xam holds. then the tadial extension fu is extremal. Proof: The proof follows immediately from Theorem 4.7 since any one of the four COnditions leads to A.2 Q. ggrollaty 4.8. Let u be 98 on (-m,w) and odd. ‘Ihgg_ u satisfies the hypgtheses 9f Ihegtem 4.8 if and gnLy 'f u is of the form l-X(s) s + i arg x). x a" O. u(O) IXI (4.13) u(x) = expkf Ell—8')— fig 0: 1 where X is real-valued and measurable on (O.m). sup |X(s)l < l. ess sup |X(s)l = gi% < 1. O 0. the a1 and ci not necessarily integers. n and 2231 = 1. We obviously may assume for simplicity that i=1 c1 < c2 < ...< Cn' Then it is easy to see that u is odd, u(O) = O. u(l) = l, and u is continuous and monotonic. Now for any x > O. n C Z}a.c x 1 xu' x _ l u(x) n ci ' ZDaix 1 Thus. since n ci :1 ci :1 c, c Za.x g Zc.a.x _gc Ea.x 1 , 1 i i i n i l l 1 we easily see that xu' x L — c1.g u(x) ‘g cn — M. 84. Thus u is RB on [0,m). Also lim ' X - c lim xu' x - c _ O - l x-m u (x) n x + u (x) 1 so that one of the conditions of Theorem 4.8 must be satisfied -- condition (iii) if cn 2_l/c1. condition (ii) if cn‘g l/cl. Hence the radial extension is extremal. Theorem 4.9. Let u satisfy the hypgtheses of Theorem 4.7 so that the radiaifextension is extremal, and let Q(x), 6 and Q be defined as in Theorem 4.1. If there is some 6 > O and somefiinterval (c.d) c (-w.°) on which Q(x) g 6 - 9 then the radial extension fu is not unique extremal. Proof: As in the proof of Theorem 4.1, if we use the auxiliary conformal mappings e2 and log 2, then we need only consider functions of 0 onto O' where Q = {x+iy‘O U(x) + Oi, x + vi -—e> V(x) + vi, for -mQ' given by 85 fu:x + iy —-> (Ki-Z U(x) + f V(x)) + iy. Let W(x) = (U(x) + V(x))/2 + U(x) where 0 20 is a function to be defined later in the proof, and let g:Q -€>Q' be defined as [13:21 U(x) +11} W(x)] + iy if O+2o(x ))2 o o (U'(xo)+V'(xo))+wc'(xO) ' + Hence, if we choose 0 to be positive but sufficiently small on (c.d), and with a sufficiently small derivative a.e. on (c.d). then ___l___. I _r_JL__. .____1____ D(xo.y) + D(xo'y) g max[D(xO'O)+D(xo.O)' D(xO'F/2)+D(xo.1r/2)}S6 for all y with O<¥Sfl/2. A similar result holds for v/Zgy.s o = K(Qu) = xu. Hence 9 is also extremal. But 0 > O on (c.d) implies that g # fu on (c.d)x(O,v). That is, @u is not unique extremal. III" I)! I 87 The statement of this theorem is much simpler in the case where u is an odd function. In fact the result becomes: Theorem 4.10. Let u atigfiy the hypotheses of Theorem 4.8. so thgt the odd radial extension fu is extremal and Q = max{M,l/L}. If there is some 5 > O and some interval (a,b) c (O.w) on which (4.15) _1_. S £13.99. 0%: u(x) 59“” then the odd radial extension is not unique exttemal. Proof: Suppose Q = 1. Then M = L = l as well and thus Q = 1 = xu'(x)/u(x) a.e. on (O.w). That is, (4.15) could not hold on the interval (a,b). Hence we can assume that Q > 1. Pick e in (4.15) small enough that Q - e > 1. Since the expression x + l/x is increasing for x > 1, l 0. Since 11 is odd we must have h = 0 (Cf. (v), page 69.) and hence 6(x) = U'(x) + l/U'(x). Furthermore. by (4.15). l xu' x Q-e S u(x) = U. (x) S Q-e' so by the monotonicity of x + l/x we must also have . 1 _ _1_ U (x) +U'(x)‘SQ€+Q-e° 88 Finally. by definition of 6 and Q. 6 Q + l/Q. Putting all this together we find .S Q-e +'—l‘ < Q + - 2 = 6 - G A . t Q(X) = U (X) + Q_€ Q 1 W (X) for all x 6 (a,b). The result follows immediately from Theorem 4.9. Corollary 4.10. The condition for non-unigteness in Theorem 4.10 is satisfied if there is any pgint xo 6 (O.o) at which u' is continuous and xou'(xo) .1 ‘1929 # Q or Q . Proof: Since u' is continuous at xb. and x0 > 0. also xu'(x)/u(x) is continuous at x0. If xu'(x)/u(x) is either > Q or < l/Q for x = x0, then the same must be true in some small interval containing x0. But this is impossible. since Q = max{M.l/L}, where L and M are the ratio bounds of u. Thus we must have i. x u'(x ) '<'Jl———£L' 0 for which _stso_e u(x) on (xo-t/Z. x0+t/2) c [xo-t, xo+t]. We can now appeal to Theorem 4.10. Example 4.2: Consider again the function 11 c1 u(x) = (sign x)23a.x i 1 introduced in Example 4.1 on page 83. If n > 1 then the radial extension is not unique extremal for this u. The function u is obviously odd. and if n > 1 then n n n clflai Zaic. ana. L_ ____1__<_1.:21.Lll__l___1.<_l_1__c =M - c1- n u(l) -' n n - n ' 23a 236. 233 1 1 1 1 1 1 so that ;_ l u'(l) where Q = maxfcn, l/cl]. Also u' is clearly continuous at x = 1, since u(x) is a linear combination of powers of x. Therefore the hypotheses of Corollary 4.10 are fulfilled by u. and we conclude that the radial extension is not unique extremal. Theorem 4.11. Let u be a 98 function of [-l,1] WWW L1. M1. L2. M2 90 such that O < L1.g xu'(x)/u(x) 3 M1 < m a.e. on (0.1). O < L2{g_xu'(x)/u(x)‘g_M < m a.e. on (-l.O). 2 I I Let C = lim_ x303: and D = lim w. and put 3‘0 x40+ 1 l A = max{C. E’ D. B}. A _g_ A + l/A 2 ess sup Q(x). where Q(x) i§ dgfined ag in -e O}. (i.e. the restriction of fu in (4.1) to 0 O and some intetval (c.d) C'(-°.0) on which Q(x) < Q -6. where Q = ess sup Q(x). then the O 0 -w_ 1111 log r/log (|f(r) |/16). Now f also satisfies the r40 hypotheses of Lemma 4.3. Hence we can use f-1 in (4.18) with 21 = r 6 (0.1] and 22 = 0. Again solving for K gives K 2_log |f(r)|/log (r/16). which implies K 2 linl log [f(r) I/log (r/16). This proves the lemma. r40 Theorem 4.15. Let ie _ 2ie g(r)-l+i§(r) x(re ) — e a(r)+1+i5(r) for OO existg. r40 98 f* be the ragial mapping of A onto itself that leaves ° IE and 1 fixed and has x as its complex dilatation. If (4.19) ess sup |X(r)l S I; :Io o+iB(s))—) for r 6 (0.1]. Hence 1 ds I9(r) I = epr-[ra(s) '2'). But by (ii) and (iii) of Theorem 4.15 we can use l'HSpital's rule to find -:[ u(s) 9: lgg |g(r)| 1m.)- log (r/16) 3 I113. log (r/16) r40 = 11a}r Elf-1; = 111:; a(r) r40 r40 = a 99 and lim log r = li log,r + 109 (I9(r) I/16) “I 1 r40 r40 ‘gg -[ u(s) S-log 16 r _ . 11: __ . l _ :31 u(r)/r 1' r133- a(r) __ A. _ a0 . Hence. by Lemma 4.3 and (4.19). x 1+I(a0-1)/(ao+l)l 1*egerEP I (1" = _-_- 'I: . mg) 2 1r11"“"I"‘o' 1/‘101 1-|(ao-l)/(ao+l) | >- l-ess sup |x(r)| “1 I OO eggists. r-oo Let f* bg the gagigl pgpptgg gt A ggtg itgglf that leaves 0 and 1 fixed and has X ag its complex dilatation. If 101 (4.20) ess sup . r - ;o(r) +1 + r .3 BO O O. (4.21) implies that ‘K(g) 2 K(f*). Hence f* is extremal. Corollary 4.16. Let ' M). 19) - e219 1 1+1 for «:31. oge<21r. x(re - a(r)+l+i8(r) ‘with g(r) = v/B(r)2+l. and such that (i) B(r) is real-valued and measurable on (0.1]. (ii) B(r) is continugus in sgme right-hand neighborhood (0.1) of the origin. (iii) o0 there exists an N(e)>0 such that (l-e)Qx$U(x) for all x>N(e). 107 Prggf: Consider 1 Q(x) = ' ds Qx Qx Since lim U'(x) = Q. there is some Q>O such that x29 x-Om implies that U'(x)}Q-é. where Q = 06/2. Therefore {2 x [X] = IOU (s)ds + .121 U (s)ds Qx QX 0x x x A IA U' (s)ds IA (Q-e)ds 2 X 2 X QX Ox ’3 x-Q = (l- a) (T) . _A Now since lim x X = 1. there exists an N(e) for which x-Oco Q x-Q Q 9 (l-Q)(—;—)2(l- 6) - 6': l-e for x>N(e). Hence uéitzl-e for x>N(e). and the lemma is proved. rem 1. Let h be a normalized RB function on [0.») with ratio bounds L. M. where 1h(IXI)}. 108 W F(z) = F(x+iy) = (sign x)U(Ix|) + iy 12. G. whare U is L3, If G' = F(G) then F i§ extremal in tha glaaa at aLI QC mapa tram. G (t9 G' a a r wi F on dar f G. Matagver. K(F) = Q = max [M.l/L}. (See Figure 5.1). y " h(x) Figure 5.1 2119.92: Let f:G->G' be any K-QC map of G to G' that agrees with F on the boundary of G. Now choose e>0. Then by Lemma 5.1 there exists an N(e)>0 such that U(x)}(l-e)Qx whenever x>N(e). Let yo = h(N(e)). Then for any n>yo. we have h-1(n)2h-l(yo) = N(e). so that 109 -1 _ _ h (n) (5.1) 2(l-e)Qh 1m) _<. 2110: 1m) s L(n) =1 _1 Ifz+f§|dg . h (n) for any n > yo. where L(n) is the length of the f—image of the segment yn = {lem z = n. -h-1(n) S,Re 2.3 h-1(n)}. (See figure 5.2) m) GI Figure 5.2 Integrating (5.1) with respect to n from 0 to y for any y > yO gives _1 y b 1(7)) 2(1-emjyh (man s] L(mdn g [’1‘ lfz+f§|d§- YO YO O -1 -h (n) 110 Squaring and applying the Schwarz inequality gives (2(1-e)oj:h' 1(T1)d1'1)2 g (I:L(mdn)2 g Ldegdn ”lg—I- dgdn . 1- N2 H) H} N In: where J(z) = IfZI2 - Ilez and x(z) = are the Jacobian and complex dilatation. respectively. of f. and <3y = GnIZIIImz _ O. O 0 Hence. if 6(y) 2_O is the maximal upper deviation of f(yy) above the horizontal line Im z = y. i.e. 6(y) = sup [Im f(x)-y}. 26 Yy then it is easy to see by considering the relevant areas (cf. Figure 5.2) that +6 _1 +6(y)_1 JIJdgdn g 2} U(h (mm?) g 20f h (mdn Gy o o and. using the same reasoning as on page 354 of [14]. Y -1 LII—ELL :dgdn g ZKJ h (mdn. 1-|x|20 where (K-l)/(K+l) = ess sup |X(z)l. Therefore 266 Y y _ y _ +6(y)._ (Zn-emf h 1(n)dn)2 g 41(th 1(n)dnjr h 1(11) dn 0 o 0 or 111 y _1 +6(y)_1 [h (mdnfy h (mdn (5.2) Q 3‘41"; 0 L - (1-6) ([yh-1(n)dn)2 yo If we can show that the term in brackets in (5.2) approaches 1 as y tends to m. then we will have Q.g K/(l-e). After this we can let 6 tend to O and achieve ng,K. from which it will follow that F is extremal for its boundary values. For convenience we write _ +6(y)_ _ [ya 1mm]y h 1(n)dn [yh 1(n)dn (5.3) 0 ° = 0 Y -1 2 y -1 (J h (man) Ln (man yo 0 y _ y+6(y)_ [hlmdn I h1(n)dn o y + Y o [Yb-lmmn L h'l(n)dn yo 0 In order to simplify calculations. we let h-1(n) = g(n) in the rest of the proof. Now by Theorem 3.5. since h is an RB function with (5.4) 1 1. Theorem 3.2 shows that g(n) g n . l/L < 1. Hence. the proof on the top of page 355 in [14] that lim - 0 still goes through and so lim (1-+§€f1)1+1/L-1 = 0. Moreover. since C 11“ 1—(yog(yO)/yg(y)) y-Oo: =C' we conclude from (5.6) that +6(y) [y g(n)an lim ”y = 0. yI” [yg(n)dn Yo Hence. by (5. 3) a _ +6(y)_ [Yh 1(n)dn [y b 1(n)dn lim 0 0 1"” (Eh-1(7)) c111)2 0 so that Q S K. 1. Therefore any QC mapping f:G-—€>G' agreeing with F on the boundary of G must have QC dilatation K(f) 2_Q. We“ _0‘; huh-m I F .51! nevi; J 114 But for the original function U(x) + iy if x 2.0 F(x+iy) = -U(-x) + iy if x < 0. it is clear from (4.7) in the proof of Theorem 4.1 that the point dilatation of F is l = U' (IXI) 'I' U. (|XI) D( +i ) + ——-l‘-—' X y D(x+iy) wherever U' exists (i.e.. almost everywhere). Thus. since O 1. and U(x) = Qx. Q 2_l. then we get the extremality results of Reich and Strebel [14] as a special case. As before. the question of uniqueness in Theorem 5.1 is partially resolved by the following corollary. Corollaty 5.1. Let U and h satisty the hypgtheses of Theorem 5.1. so that the map F is extremal for the boundary 115 values itgaaapmes. If there is some 6 > 0 and apmeyantepyal (a.b) c (0.m) on which —l— g U' (x) S Q-eo Q-e tpap_ F is not unique extremal. -1 Proof: Let yO be so large that h (yo) > b. Define a map g:G-—€>G' as f ZYO-y y-y I ( y U(x)+—y—Q W(x))+iy if yogyg2yo o o Bye-y y-Zyo . = . .f 3 g(x+1y) I< Yo W(x)+—;o—U(x))+1y 1 woe/s Yo \F(x+iy) if y I [y0. 3Y0]: where W(x) = U(x) + U(x) for x 6 [0.m) and some function 0 2.0 to be picked. It is clear that between y = y0 and y = 2yo. g is a linear combination of U and W. and the same is true between y = 2yO and y = 3y0. Hence we have the same kind of mapping as in the proof of Theorem 4.9. The proof here is almost identical to the proof of Theorem 4.9 and it is easy to see that if we choose 0 so that U(x) = 0 for x t [a.b]. U(x) > o for x e (a.b). and both a and Io'I are sufficiently small on [a.b]. then D(x+iy) g Q for all x+iy with agxgb and yogygBYO. Since 9 = F everywhere else. this implies K(g) = Q = K(F). Hence 9 is 116 also extremal. It is also clear that g(z) = F(z) on the boundary of G but that g is not the same as F everywhere on G since 0 > 0 on (a.b). Thus F is not unique extremal. BIBLIOGRAPHY l. 10. 11. 12. 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