DIFFERENCE OF COMPOSITION OPERATORS OVER THE HALF-PLANE

Size: px
Start display at page:

Download "DIFFERENCE OF COMPOSITION OPERATORS OVER THE HALF-PLANE"

Transcription

1 TRANSACTIONS OF TE AMERICAN MATEMATICAL SOCIETY Volume 00, Number 0, Pages S (XX) DIFFERENCE OF COMPOSITION OPERATORS OVER TE ALF-PLANE BOO RIM COE, YUNGWOON KOO, AND WAYNE SMIT Abstract. We study the differences of composition operators acting on weighted Bergman spaces over the upper half-plane. In this setting not all composition operators are bounded and none are compact. The idea of joint pullback measure is used to give a Carleson measure characterization of when the difference of two composition operators is bounded or compact. Alternate characterizations, not using Carleson measures, are also given for certain large classes of the inducing maps for the operators. The relationship between angular derivatives and compact differences of composition operators is also explored, which, in particular, reveals a new phenomenon due to the upper half-plane not being bounded. Our results produce a variety of examples of distinct composition operators whose difference is compact, including examples when the individual operators are not bounded. The paper closes with a characterization of when the difference of composition operators is ilbert-schmidt.. Introduction Let be the upper half of the complex plane C, i.e., := {z C : Im z > 0} and let S be the class of all holomorphic self-maps of. Each φ S induces a composition operator C φ defined by C φ f = f φ for functions f holomorphic on. It is clear that C φ takes the space of holomorphic functions on into itself. Efforts to understand the topological structure of the space of composition operators have led to the study of the difference C φ C ψ of two composition operators. In the setting of the unit disk D, all composition operators, and hence all differences of two composition operators, are bounded on the ardy spaces and the Bergman spaces. Thus the question of when the difference of composition operators is compact was naturally a focus of attention. Shapiro and Sundberg [23] first raised and studied such a question on the ardy space, motivated by the isolation phenomenon observed by Berkson []. Their work initiated subsequent efforts [0, 8] on the Received by the editors Apr. 26, Mathematics Subject Classification. Primary 47B33; Secondary Key words and phrases. Difference of composition operators; Joint pullback measure; Carleson measure; Bounded operator; Compact operator; ilbert-schmidt operator; Weighted Bergman space; alf-plane. B. R. Choe was supported by NRF(203RAA ) of Korea and. Koo was supported by NRF(204RAA205445) of Korea. c XXXX American Mathematical Society

2 2 B. COE,. KOO, AND W. SMIT ardy space and [5, 7, 9, 20] on the Bergman space; see also [3, 4, 2, 4, 6] for work on the Bergman spaces over the ball or the polydisk. The purpose of the current paper is to study the differences of composition operators acting on the weighted Bergman spaces over. We first recall the spaces we work on. For α >, put da α (z) := c α (Im z) α da(z) where c α = 2α (+α) π is a normalizing constant and A is the area measure on. For 0 < p <, we denote by A p α() the weighted Bergman space consisting of all holomorphic functions f on such that the norm { } /p f A p α := f p da α is finite. As is well known, each space A p α() is a closed subspace of L p (da α ). Thus A p α() is a Banach space for p < and, in particular, A 2 α() is a ilbert space. Also, when 0 < p <, the space A p α() is a complete metric space under the translation-invariant metric (f, g) f g p A. p α Unlike the disk case, not all composition operators are bounded on the spaces A p α(). For example, it is not hard to check that the spaces A p α() are not Möbius invariant. Recently, Elliott and Wynn [9] characterized bounded composition operators on A p α(); see Theorem 2.4 below. Their work also shows that no composition operator on A p α() is compact; see [22] for a more general result in this direction. Nevertheless, we will show that there are many and varied examples of distinct composition operators with compact difference, including examples when the individual composition operators are not bounded. In the next section we collect some basic material that will be needed subsequently. Then in 3 the idea of joint pullback measure is used to give a Carleson measure characterization of when the difference of composition operators is bounded or compact on A p α(); see Theorem 3.3. Alternate characterizations not using Carleson measures are given in 4 for special classes of inducing maps for the composition operators, in particular when they map to relatively compact subsets of ; see Theorems 4. and 4.5. Angular derivatives are used in 5 to investigate compactness of the difference of composition operators. In the settings of classical bounded domains, such as the disk([7]), the polydisk([4]), or the ball([3]), it is known that a necessary condition for compactness is that the inducing maps have exactly the same first-order data. This means that their angular derivatives exist at the same points, and at these points the angular limits of the functions and their derivatives match. In the setting of there is a new phenomenon due to the domain being unbounded. We show that while matching first-order data is usually necessary (see Theorem 5.4), in general it is not (see Example 5.). Then, under the assumption that the individual composition operators are bounded, we use angular derivatives to characterize when the difference is compact; see Theorem 5.5. Some applications of our characterization of boundedness are collected in 6. In particular, we show that in the context of bounded differences of composition operators on A p α(), automorphisms of exhibit a certain rigidity; see Theorem 6.2. Finally, ilbert-schmidt differences of composition operators on A 2 α() are characterized in the last section by means of square-integrability with respect to

3 DIFFERENCES OF COMPOSITION OPERATORS 3 the Möbius invariant measure of a quantity that naturally appears in the characterizations of bounded/compact differences in earlier sections; see Theorem 7.6. Constants. Throughout the paper we use the same letter C to denote various positive constants which may vary at each occurrence but do not depend on the essential parameters. Variables indicating the dependency of constants C will be often specified in parenthesis. For nonnegative quantities X and Y the notation X Y or Y X means X CY for some inessential constant C. Similarly, we write X Y if both X Y and Y X hold. 2. Prerequisites In this section we collect some basic facts and preliminary results to be used throughout the paper. 2.. Reproducing Kernel. Given α >, subharmonicity yields a constant C = C(α) > 0 such that f(z) 2 C (Im z) α+2 f 2 A 2 α, z for f A 2 α(). In particular, this shows that each point evaluation is a continuous linear functional on A 2 α(). Thus, to each z corresponds a unique reproducing kernel K z (α) A 2 α(). As is well known, the explicit formula of K z (α) is given as ( ) α+2 i K z (α) (w) = (i = ). w z Note (2.) ( ) (α+2)/2 K z (α) A 2 α = K z (α) (z) =. 2Im z 2.2. Compact Operator. It seems better to clarify the notion of compact operators, since the spaces under consideration are not Banach spaces when 0 < p <. Suppose X and Y are topological vector spaces whose topologies are induced by complete metrics. A continuous linear operator T : X Y is said to be compact if the image of every bounded sequence in X has a subsequence that converges in Y. We have the following convenient compactness criterion for a linear combination of composition operators acting on the weighted Bergman spaces. Lemma 2.. Let α > and 0 < p <. Let T be a linear combination of composition operators and assume that T is bounded on A p α(). Then T is compact on A p α() if and only if T f n 0 in A p α() for any bounded sequence {f n } in A p α() such that f n 0 uniformly on compact subsets of. A proof can be found in [7, Proposition 3.] for a single composition operator over the unit disk and it can be easily modified for a linear combination over the half-plane.

4 4 B. COE,. KOO, AND W. SMIT 2.3. Pseudo-hyperbolic Distance. The pseudo-hyperbolic distance ρ(z, w) between z, w is given by ρ(z, w) := z w z w. Note that ρ is invariant under dilation and horizontal translation. Also, note So, we have by (2.) (2.2) ρ 2 (z, w) = z w 2 z w 2 z w 2 = = [ ρ 2 (z, w)] (α+2)/2 = 2Re [z(w w)] z w 2 4(Im z)(im w) z w 2. K (α) z K w (α) (z) α K w (α) α for any z, w and α >. For z and 0 < δ <, let E δ (z) denote the pseudohyperbolic disk centered at z with radius δ. A straightforward calculation show that E δ (z) is the Euclidean disk with (2.3) (center) = x + i + δ2 2δ y and (radius) = δ2 δ 2 y where x = Re z and y = Im z. Thus it is easily seen that (2.4) δ + δ < Im z Im w < + δ δ whenever w E δ (z). Also, one may verify that (2.5) δ z a < + δ w a < + δ δ whenever w E δ (z) and a ; see [6, Lemma 3.3]. In particular, (2.6) δ z w < + δ 2Im z < + δ δ whenever w E δ (z). Given 0 < δ < and α >, note that there is a constant C = C(α, δ) > 0 such that (2.7) C (Im z) α+2 A α [E δ (z)] C(Im z) α+2 for all z. This yields the submean value type inequality f(z) p C (2.8) (Im z) α+2 f p da α, z E δ (z) for 0 < p < and functions f holomorphic on ; see [6, Lemma 3.6] or, for details on the disk, [25, Proposition 4.3]. In particular, we have (2.9) f(z) p C (Im z) α+2 f p A p α, z

5 DIFFERENCES OF COMPOSITION OPERATORS 5 and (2.0) lim (Im z) α+2 f(z) p = 0 z Ĥ for functions f A p α(). ere, Ĥ := { } and lim z Ĥ g(z) = 0 means that sup \K g 0 as the compact set K expands to the whole of, or equivalently that g(z) 0 as Im z 0 + and g(z) 0 as z Carleson Measure. Let α > and µ be a locally finite positive Borel measure on. ere, the term locally finite means that µ(k) < for any compact set K. For 0 < δ < and 0 < p <, we have (2.) and (2.2) the embedding A p α() L p (dµ) is bounded µ[e δ (z)] sup z A α [E δ (z)] < the embedding A p α() L p (dµ) is compact lim z Ĥ µ[e δ (z)] A α [E δ (z)] = 0. In fact these are proved in [5, Theorem 4.] and [5, Theorem 5.3] for the unweighted L p -harmonic Bergman space, < p <, over the upper half-space; we have however added the missing hypothesis, namely, the local finiteness. Working on the holomorphic Bergman space, one can check that the restriction < p < can be removed. One may also extend the proofs to the weighted cases. Alternatively, one may modify the proofs in [25, Section 7.2] for the disk setting. We say that µ is an α-carleson measure if (2.) holds. Also, we say that µ is a compact α-carleson measure if (2.2) holds. Note that the notion of (compact) α-carleson measures is independent of the size of p or δ. The connection between composition operators and Carleson measures comes from the standard identity (see [, p. 63]) (2.3) (h φ) da α = h d(a α φ ) valid for holomorphic self-maps φ of and Borel functions h 0. ere, A α φ denotes the pullback measure defined by (A α φ )(E) = A α [φ (E)] for Borel sets E. One can easily see from (2.3) that C φ is bounded (compact, resp.) on A p α() if and only if A α φ is a (compact) α-carleson measure Angular Derivative. We first recall the well-known notion of angular derivatives on D. A holomorphic self-map f of D is said to have finite angular derivative at η D, denoted by f (η) C, if f has nontangential limit f(η) D at η such that f(ζ) f(η) lim = f (η) ζ η ζ η where lim stands for the nontangential limit. As is well known by the Julia- Carathéodory Theorem(see [8, Theorem 2.44]), f (η) exists if and only if lim inf ζ η f(ζ) 2 ζ 2 <.

6 6 B. COE,. KOO, AND W. SMIT In this case, the left-hand side of the above is equal to f (η). In particular, we have f (η) f(0) + f(0) > 0 by the Schwarz-Pick Lemma. Before introducing angular derivatives in the half-plane setting, we need to clarify the notion of nontangential limits at boundary points of Ĥ. Of course, those at a finite boundary point refer to the standard notion. Meanwhile, those at Ĥ refer to those associated with nontangential approach regions Ω γ, γ > 0, consisting of all z C such that Im z > γ Re z. For a function h : and x Ĥ, we write h(x) = L (possibly ) if h has nontangential limit L, i.e., lim z x h(z) = L. We now introduce the notion of angular derivatives on via the Caley transformation κ(ζ) := i + ζ ζ, ζ D, which conformally maps D onto. Note that a region Γ D is contained in a nontangential approach region in D if and only if κ(γ) is contained in a nontangential approach region in. Given φ S, let (2.4) φ κ = κ φ κ. We say that φ has finite angular derivative at x Ĥ if φ κ has finite angular derivative at x := κ (x) D. In this case, note that φ is forced to have nontangential limit φ(x) Ĥ at x Ĥ and we have φ κ( x) = lim z x φ(z) i φ(z)+i φ(x) i φ(x)+i z i z+i x i x+i Depending on whether x or φ(x) is equal to, this can be simplified and rephrased through straightforward calculations as follows: (i) For x, φ(x), [ ] 2 φ(z) φ(x) φ(x) + i (2.5) lim = φ z x z x κ( x) ; x + i (ii) For x and φ(x) =, [ ] 2 (2.6) lim z x (z x)φ(z) = φ κ( x) ; x + i (iii) For x = and φ( ), (2.7) (iv) For x = = φ( ), (2.8) lim z z[φ(z) φ( )] = φ κ() [φ( ) + i] 2 ; z lim z φ(z) = φ κ(). In each case of (2.5)-(2.8) the limit in the left-hand side is naturally denoted by φ (x). Note φ (x) 0. The following Julia-Carathéodory Theorem for the upper half-plane, taking care of the case (iv), is proved in [9, Prop. 2.2]..

7 DIFFERENCES OF COMPOSITION OPERATORS 7 Proposition 2.2. For φ S, the following statements are equivalent: (a) φ( ) = and φ ( ) exists; Im z (b) sup z Im φ(z) < ; Im z (c) lim sup z Im φ(z) <. Moreover, the quantities in (b) and (c) are both equal to φ ( ). While not needed in the current paper, we remark that one may deduce from Proposition 2.2 the Julia-Carathéodory Theorem for the remaining cases (i)-(iii). For example, if φ( ) = 0, then apply Proposition 2.2 to the function φ(z). The following is another form of the half-plane version of the Julia-Carathéodory Theorem. Proposition 2.3. Let φ S and x Ĥ. Then φ (x) exists if and only if 2 lim sup φ(z) + i Im z z x z + i Im φ(z) > 0. Proof. The proposition follows from the Julia-Carathéodory Theorem and the identity ζ 2 φ κ (ζ) 2 = z i z+i 2 2 φ(z) i 2 = φ(z) + i Im z (2.9) z + i Im φ(z) φ(z)+i where ζ = κ (z). Elliott and Wynn [9] showed that bounded composition operators are characterized by one of the conditions in Proposition 2.2. Theorem 2.4 (Elliott-Wynn). Let α > and 0 < p <. Let φ S. Then C φ is bounded on A p α() if and only if φ( ) = and φ ( ) exists. In fact the above theorem is stated in [9] only for p = 2, but remains true for all p by the Carleson measure characterization mentioned in Section Test Functions. For a, let τ a be the function on defined by (2.20) τ a (z) := z a. Powers of these functions will be the source of test functions in conjunction with Lemma 2.. The norms of such kernel-type functions can be computed by means of the next lemma. Lemma 2.5. Given α > and s real, the equality { cα,s z a α+2+s da (Im a) if s > 0 α(z) = s if s 0 holds for a. ere, c α,s is a constant.

8 8 B. COE,. KOO, AND W. SMIT Proof. Fix α > and a real number s. Given a, denoting by J α,s (a) the integral in question and making the change-of-variable w = z Re a Im a, we obtain J α,s (a) = (Im a) s w + i α+2+s da α(w) = 2c α (Im a) s which yields the asserted equality. 0 dx (x 2 + ) (α+2+s)/2 0 y α dy (y + ) +α+s, As a consequence, we have τ s a A p α() if and only if sp > α + 2. Also, when sp > α + 2, we have (2.2) and thus τ s a p A p α = (constant) (Im a) sp 2 α (2.22) as a Ĥ. τ s a τ s a A p α 0 uniformly on compact subsets of 3. Carleson Measure Characterization The notion of joint pullback measures has been introduced by Koo and Wang [6] quite recently in their study of differences of composition operators over the ball. Earlier, such notion was implicitly considered by Saukko [9] in his study of operator (essential) norm estimates for differences of composition operators over the disk. ere, we introduce the half-plane analogue and use it to characterize boundedness (compactness, resp.) of the difference of two composition operators by the property of the joint pullback measure being a (compact) Carleson measure. Before proceeding, we first set some notation to be used for the rest of the paper. Given φ, ψ S, we put σ(z) = σ φ,ψ (z) := ρ(φ(z), ψ(z)) for short. Use of this function σ has become standard in the study of the difference of two composition operators, going back to [3] in the setting of the ardy space 2 over D. Given α > and 0 < p <, we define the joint pullback measure ω α,p = ω α,p;φ,ψ by (3.) ω α,p (E) := σ p da α + σ p da α φ (E) ψ (E) for Borel sets E. So, ω α,p is actually the sum of two pullback measures (σ p da α ) φ and (σ p da α ) ψ. By a standard argument one can verify (3.2) g dω α,p = [g(φ) + g(ψ)]σ p da α for any positive Borel function g on. Given 0 < δ <, we use the notation (3.3) ω α,p [E δ (z)] ω α,p δ := sup z A α [E δ (z)] ; recall that E δ (a) denotes the pseudohyperbolic disk of radius δ centered at a.

9 DIFFERENCES OF COMPOSITION OPERATORS 9 We need a couple of technical lemmas. In what follows, we use the notation for a and N > 0. a N := Re a + in(im a) Lemma 3.. Given s > 0 and 0 < δ <, there are constants N = N(s, δ) > 0 and C = C(s, δ) > 0 such that τ s a(z) τ s a(w) + τ s a N (z) τ s a N (w) Cρ(z, w) τ s a(z) for all a, w and z E δ (a). Proof. Fix s > 0 and 0 < δ <. Let a. By horizontal translation we may assume a = iy, y > 0. Let z E δ (a). Let w. Consider the case w a Ny where N > 4 is a number to be chosen later. In this case we have and thus by (2.6) w a w a a a ( N 2)y z a w a 4 ( δ)( N 2). So, choosing N so large that [ 4 (3.4) we obtain ( δ)( N 2) ] s 2, ( τa(z) s τa(w) s = τa(z) s τ a(w) s ) τa(z) s 2 τ a(z) s, which implies the asserted inequality. Now, consider the case w a < Ny. Note τa s N (z) τa s N (w) τa s τa(z) s = N (z) ( ) s z + iny τa(z) s w + iny τ s = an (z) ( τa(z) s w z ) s (3.5). w + iny For the first factor of the above, since z + iny (N )y z + iy + z + iy < + N 2 where the second inequality holds by (2.6), we have τa s ( ) N (z) s δ τa(z) s >. N + δ δ < N δ To estimate the second factor of (3.5), we first note from (2.6) w z w a + a a + a z < w + iny Ny N So, choosing N so large that (3.6) ( ζ) s s 2 ζ for ζ N ( N δ ( ) N , δ ).

10 0 B. COE,. KOO, AND W. SMIT we have 2 s ( w z ) s w z w + iny w + iny z w = ρ(z, w) w + iny Im z ρ(z, w) w a + a + iny ρ(z, w) δ N + N + 2 Accordingly, choosing N satisfying (3.4) and (3.6), we obtain τ s an (z) τ s a N (w) Cρ(z, w) τ s a (z) by (2.4). for some positive constant C = C(α, δ, N) = C(α, δ). This completes the proof. Lemma 3.2. Let α >, 0 < p < and 0 < δ < δ <. Then there is a constant C = C(α, p, δ, δ ) > 0 such that f(z) f(w) p C ρp (z, w) f p da α A α [E δ (z)] E δ (z) for all z, w with w E δ (z) and functions f holomorphic on E δ (z). Proof. Let z, w and assume w E δ (z). Let f be an arbitrary holomorphic function on E δ (z). Then we have ( ) (3.7) f(z) f(w) z w sup f (ζ) ζ E δ (z) In conjunction with this, we note (by the subharmonicity of f p ) that there is a constant C = C(α) > 0 such that f(a) p C d α+2 f p da α, a E δ (z) (a) E δ (z) where d(a) denotes the distance from a to the boundary of E δ (z). Using this and the Cauchy Estimates, one may check by (2.3) that sup f (ζ) p C (3.8) ζ E δ (z) (Im z) α+2+p f p da α for some constants C = C(α, δ, δ ) > 0. Now, since E δ (z) 4(Im z) (3.9) z w = ρ(z, w) z w ρ(z, w) δ by (2.6), we conclude the lemma by (3.7), (3.8) and (2.7). We are now ready to characterize the boundedness/compactness of the difference of composition operators by means of the joint pullback measures. In the next theorem we use notation as in (3.)-(3.3). Theorem 3.3. Let α >, 0 < p < and 0 < δ <. For φ, ψ S the following statements hold: (a) C φ C ψ is bounded on A p α() if and only if ω α,p is an α-carleson measure. In this case, the operator norm of C φ C ψ is comparable to ω α,p /p δ ;.

11 DIFFERENCES OF COMPOSITION OPERATORS (b) C φ C ψ is compact on A p α() if and only if ω α,p is a compact α-carleson measure. Proof. Put T := C φ C ψ for brevity. First, we consider the boundedness. To prove the sufficiency, assume ω α,p δ <. Let f A p α(). Setting we have T f p da α D = D δ/2 := {z : σ(z) < δ/2}, D T f p da α + ( f(φ) p + f(ψ) p ) da α \D =: I(f) + II(f). The second term of the above is easily handled. Namely, we have (3.0) II(f) δ p ω α,p δ f p A p α by the Carleson measure characterization. We now estimate the first term. We have by Lemma 3.2 and Fubini s Theorem { σ p } (z) I(f) f(w) p da α (w) da α (z) D A α [E δ (φ(z))] E δ (φ(z)) { } σ p (z) (3.) = A α [E δ (φ(z))] da α(z) f(w) p da α (w). Note from (2.7) and (2.4) D φ [E δ (w)] A α [E δ (φ(z))] [Im φ(z)] α+2 (Im w) α+2 A α [E δ (w)] for all z φ [E δ (w)]. So, we see from (3.) that ω α,p [E δ (w)] (3.2) I(f) A α [E δ (w)] f(w) p da α (w) and thus I(f) ω α,p δ f p α,p. So, we see from this and (3.0) that T is bounded on A p α with norm at most ω α,p /p δ times some constant depending only on α, p and δ. For the necessity, assume that T is bounded on A p α. Let s = (α + 3)/p and N = N(s, δ) > 0 be a number provided by Lemma 3.. Let w and put Note from Lemma 3. that w N := Re w + in(im w). T τ s w(z) + T τ s w N (z) σ(z) τ s w(φ(z)), z φ [E δ (w)] for all w. Also, note from (2.6) τ s w(φ(z)) (Im w) s, z φ [E δ (w)].

12 2 B. COE,. KOO, AND W. SMIT Accordingly, we obtain J(w) : = T τ s w(z) p + T τ s w N (z) p da α (z) φ [E δ (w)] (Im w) α+3 σ p (z) τ s w(φ(z)) p da α (z) φ [E δ (w)] σ p (z) da α (z). for all w. The same argument works with ψ in place of φ and hence we have (3.3) for all w. Since we have (2.2) we may use (2.7) to rephrase (3.3) as J(w) ω α,p[e δ (w)] (Im w) α+3 τw s N p A = p α Im w N N(Im w) τ w s p A, p α (3.4) T τ s w p A p α τ s w p A p α + T τ s w N p A p α τ s w N p A p α ω α,p[e δ (w)] A α [E δ (w)] for all w. Consequently, the boundedness of T on A p α yields ω α,p δ T p ; the constant suppressed above depends only on α, p and δ. proof of the boundedness part. This completes the We now turn to the proof of the compactness part. First, assume that T is compact on A p α(). Note from (a) that ω α,p is locally finite. Also, note w N Ĥ as w Ĥ. So, we deduce from (2.22), (3.4) and Lemma 2. that ω α,p is a compact α-carleson measure. Conversely, suppose that ω α,p is a compact α-carleson measure, i.e., that ω α,p is locally finite and (3.5) ω α,p [E δ (w)] lim = 0. w Ĥ A α [E δ (w)] Let {f n } be an arbitrary bounded sequence in A p α() such that f n 0 uniformly on compact subsets of. Since the embedding A p α() L p (dω α,p ) is compact, we can pick a subsequence {f nj } that converges (necessarily to 0) in L p (dω α,p ). So, we obtain by (3.2) ( f nj (φ) p + f nj (ψ) p )σ p da α = f nj p dω α,p 0 and thus II(f nj ) 0. Also, since ω α,p is locally finite, it is not hard to see I(f nj ) 0 by (3.2) and (3.5). Accordingly, we have T f nj 0 in A p α(). This actually implies T f n 0 in A p α(), as one may easily check. This completes the proof.

13 DIFFERENCES OF COMPOSITION OPERATORS 3 4. Other Characterizations: Two Special Cases In this section we obtain alternate characterizations not involving Carleson measures, in the case of two special types of inducing maps. The first case concerns inducing maps whose images are relatively compact. Theorem 4.. Let α > and 0 < p <. Let φ, ψ S and assume that their images are relatively compact in. Then the following statements are equivalent: (a) C φ C ψ is compact on A p α(); (b) C φ C ψ is bounded on A p α(); (c) φ ψ A p α(); (d) σ L p (da α ). One may use Theorem 3.3 to prove Theorem 4.. proof. ere, we provide a direct Proof. Put T := C φ C ψ. Let K be a convex compact set containing φ() ψ(). The implication (a) = (b) is clear. Also, the equivalence (c) (d) is clear, because the pseudohyperbolic distance is equivalent to the Euclidean distance on a compact set. We now prove the implications (b) = (c) = (a). First, we assume (b) and prove (c). Pick s > (α + 2)/p and put f N (z) := τ s Ni(z) = (z + Ni) s Ap α() where N > 0 is a large number to be fixed in a moment. Note z w w+ni 0 uniformly in z, w K as N. Thus, fixing N > 0 sufficiently large, we have f N(w) f N (z) s 2 z + Ni w + Ni = s z w (4.) 2 w + Ni for all z, w K. It follows that T f N = f N (φ) f N(ψ) f N (φ) s 2 f N(φ) φ ψ ψ + Ni C φ ψ on for some constant C = C(K, N, s) > 0. So, we conclude (c). Next, we assume (c) and show (a). Note ( ) T g sup g K φ ψ on for all g A p α(). Thus, given a bounded sequence {f n } converging to 0 uniformly on compact subsets of, we have ( ) T f n p A = f p α n (ϕ) f n (ψ) p da α sup f n p φ ψ p da α. K It follows that T f n p A 0, because {f p α n} also converges to 0 uniformly on compact sets. Thus T is compact on A p α() by Lemma 2.. This completes the proof. The second special case concerns the characterization of compactness when the operator in question is already known to be bounded on a certain smaller space. Such a characterization is motivated by the necessary conditions described in Theorem 4.3 below. We need the following lemma.

14 4 B. COE,. KOO, AND W. SMIT Lemma 4.2. Given s > 0, there is a constant C = C(s) > 0 such that ( ) s z z Cρ(z, w) w z for z, w with Im z Im w. Proof. Let s > 0. Note ρ(z, w) = z z w z for z, w. Also, note that there is δ 0 (0, ) such that ζ s s ζ 2 for ζ C with ζ δ 0. Thus the inequality in question holds for any z, w with ρ(z, w) δ 0. Now, assume ρ(z, w) > δ 0 and Im z Im w. Since (Im z) 2 (Im z)(im w), we have ( ) s z z s z z w z w z [ ] s/2 4(Im z)(im w) w z 2 = [ ρ 2 (z, w) ] s/2 Now, since t s/2 t for 0 t <, we obtain ( ) s z z ρ 2 (z, w) > δ 0 ρ(z, w), w z which completes the proof. by (2.2). Theorem 4.3. Let α > and 0 < p <. For φ, ψ S the following statements hold: (a) If C φ C ψ is bounded on A p α(), then [ Im z Im φ(z) + Im z ] (α+2)/p (4.2) σ(z) < ; Im ψ(z) sup z (b) If C φ C ψ is compact on A p α(), then [ Im z Im φ(z) + Im z ] (α+2)/p (4.3) σ(z) = 0. Im ψ(z) lim z Ĥ Proof. Before proceeding, we first introduce some temporary notation. Pick a number s > (α + 2)/p and put τ s a f a := τa s A p α for a ; recall that τ a denotes the function defined in (2.20). Put T := C φ C ψ again for brevity. To prove (a), it is sufficient to show (4.4) T f φ(z) p A p α + T f ψ(z) p A p α C [ Im z Im φ(z) + Im z ] α+2 σ p (z) Im ψ(z)

15 DIFFERENCES OF COMPOSITION OPERATORS 5 for all z and for some constant C = C(p, α) > 0. To see this let z. Note from (2.8) that T f φ(z) p A f p α φ(z) (φ) f φ(z) (ψ) p da α E δ (z) (Im z) α+2 fφ(z) ( φ(z) ) fφ(z) ( ψ(z) ) p. Meanwhile, we have ( ) ( ) ( ) fφ(z) φ(z) fφ(z) ψ(z) = fφ(z) φ(z) f ( ) φ(z) ψ(z) ( ) f φ(z) φ(z) ( ) s [Im φ(z)] (α+2)/p φ(z) φ(z) ψ(z) φ(z) ; the last estimate comes from (2.2). It follows that [ ] ( ) α+2 T f φ(z) p Im z s A p α Im φ(z) φ(z) φ(z) p (4.5) ; ψ(z) φ(z) the same estimate holds when the roles of φ and ψ are exchanged. Now, assuming Im φ(z) Im ψ(z) by symmetry, we obtain by (4.5) and Lemma 4.2 that [ ] α+2 T f φ(z) p Im z (4.6) A σ p (z); p α Im φ(z) the constant suppressed above is independent of z. This yields (4.4), because Im φ(z) Im ψ(z). We now turn to the proof of (b). Assume T is compact on A p α() but (4.3) fails. Then we can find a sequence {z k } such that [ Im zk z k Ĥ but inf k Im φ(z k ) + Im z ] α+2 k σ p (z k ) > 0. Im ψ(z k ) By passing to a subsequence if necessary, we may assume for all k and thus Im ψ(z k ) Im φ(z k ) [ ] α+2 Im zk inf σ p (z k ) > 0. k Im φ(z k ) It follows from (4.6) and Lemma 2. that φ(z k ) Ĥ. So, by passing to another subsequence if necessary, we may further assume {φ(z k )} converges to some point, say b, in. Assuming so, we have (4.7) Note from (2.0) (4.8) inf k (Im z k) α+2 σ p (z k ) > 0. (Im z k ) α+2 T f b (z k ) p 0 as k. Since inf k (Im z k ) > 0 from (4.7), this implies T f b (z k ) 0, which in turn implies ( )s b b. ψ(z k ) b

16 6 B. COE,. KOO, AND W. SMIT Moreover, this holds for any s > (α + 2)/p, because the choices of s and {z k } are independent. Accordingly, we have ψ(z k ) b. It follows that and therefore φ(z k) b ψ(z k ) b = ψ(z k) ϕ(z k ) 0 ψ(z k ) b ( )s T f b (z k ) = τb s A p ϕ(z α k) b s ϕ(zk ) b ψ(z k ) b (Im b)s (α+2)/p ψ(z k ) ϕ(z k ) (Im b) s ψ(z k ) b σ(z k ) ψ(z k ) ϕ(z k ) = (Im b) (α+2)/p ψ(z k ) b σ(z k ) (Im b) (α+2)/p for all large k. This, together with (4.8), is a contradiction to (4.7). The proof is complete. One may suspect that the necessary conditions in Theorem 4.3 would also be sufficient. The next example shows that it is not the case. Example 4.4. Let α > and 0 < p <. Let φ(z) = 2i and ψ(z) = 2i + (z + i) (α+2)/p [log(z + ei)]. /p Then (4.3) holds but C φ C ψ is bounded/compact on A q α() if and only if q > p. Proof. Note ψ(z) 2i for all z, because z + i and log(z + ei) log z + ei. Thus ψ is a holomorphic self-map of whose image is relatively compact. It follows that [ Im z Im φ(z) + Im z Im ψ(z) ] α+2 σ p (z) ( Im z ) α+2 z + i log(z + ei) which easily yields (4.3). On the other hand, we see by Theorem 4. that C φ C ψ is bounded/compact on A q α() if and only if ( ) q/p z + i α+2 da α (z) <, log(z + ei) which, in turn, is equivalent to q > p. The above example can be generalized a little bit by Theorem 4.. Namely, for any φ whose image is relatively compact, one may take ψ of the form c ψ(z) := φ(z) + (z + i) (α+2)/p [log(z + ei)] /p where c > 0 is a sufficiently small constant. We also remark that there are inducing maps fixing, in addition to having the properties stated in Example 4.4; see the remark after Example 7.9. When C φ C ψ is already known to be bounded on a smaller space, it turns out that the necessary conditions in Theorem 4.3 are also sufficient on a certain

17 DIFFERENCES OF COMPOSITION OPERATORS 7 larger space. In connection with this remark, we note A q β () Ap α() under the parameter conditions given below; this can be verified via (2.9) and the factorization f p = f q f p q. Theorem 4.5. Let α > β > and 0 < q < p < with α+2 q. Let φ, ψ S and assume that C φ C ψ is bounded on A q β (). Then the following statements hold: (a) C φ C ψ is bounded on A p α() if and only if (4.2) holds; (b) C φ C ψ is compact on A p α() if and only if (4.3) holds. p = β+2 Proof. Fix δ (0, ). Note ω β,q δ < by assumption. By Theorem 4.3 we only need to prove the sufficiency. We provide details for the compactness part; the boundedness part is simpler. We now turn to the proof of the sufficiency. So, assume (4.3). Using the notation as in Theorem 3.3, it suffices to show that ω α,p is a compact α-carleson measure. Since C φ C ψ is bounded on A q α+2 β () and p = β+2 q, we see from (a) that C φ C ψ is bounded on A p α() and thus that ω α,p is an α-carleson measure by Theorem 3.3. So, it suffices to show ω α,p [E δ (z)] (4.9) lim = 0. z Ĥ A α [E δ (z)] Let ɛ > 0. By (4.3) there is a compact set K such that [ Im w Im φ(w) + Im w ] (α+2)/p (4.0) σ(w) ɛ Im ψ(w) for w \ K. Put V := w φ(k) E δ (w). Since φ(k) is compact, we see that V is a compact subset of. Note that, for z / V, we have E δ (z) φ(k) = and thus φ [E δ (z)] K =. Accordingly, (4.0) holds when w φ [E δ (z)] and z V. Assume z \ V. For w φ [E δ (z)], note and by (4.0) σ p (w)(im w) α = σ q (w)(im w) β σ p q (w)(im w) α β σ p q (w)(im w) α β ɛ p q ( Im φ(w) Im w = ɛ p q (Im φ(w)) α β ) (α+2)(p q)/p (Im w) α β ɛ p q (Im z) α β by (2.6); the equality above comes from α+2 q. Consequently, we obtain by (2.6) σ p ɛ p q (w) da α (w) σ q (w) da β (w); A α [E δ (z)] A β [E δ (z)] φ [E δ (z)] p = β+2 φ [E δ (z)] the constant suppressed here is independent of z \ V. The same argument also works for ψ instead of φ. Consequently, we obtain ω α,p [E δ (z)] A α [E δ (z)] ɛ p q ω β,q δ, z \ V

18 8 B. COE,. KOO, AND W. SMIT and thus conclude (4.9), as required. The proof is complete. An immediate consequence of Theorem 4.3 (and Theorem 4.5) is the following: Corollary 4.6. Let α > β > and 0 < q < p < with α+2 q. Let φ, ψ S. If C φ C ψ is bounded(compact, resp.) on A q β (), then it is bounded(compact) on A p α(). Im z Im φ(z) and Im z Im ψ(z) p = β+2 When are already bounded, it is elementary to see that condition (4.3) is independent of the parameters α and p. So, as another consequence, we obtain the next corollary. Corollary 4.7. Let α > and 0 < p <. Let φ, ψ S and assume that C φ and C ψ are both bounded on A p α(). Then C φ C ψ is compact on A p α() if and only if (4.) [ Im z lim z Ĥ Im φ(z) + Im z ] σ(z) = 0. Im ψ(z) Of course, condition (4.) is not sufficient without the boundedness of C φ and C ψ ; see Example 4.4 (with α = 0 and p = 2). We now close the section with another example with inducing maps whose images are not relatively compact in. Example 4.8. For s > 2, let φ(z) := 2(z + i) and ψ(z) := 2(z + i) +. (z+i) s Then (4.) holds but C φ C ψ is not even bounded on A p α() for p α+2 s+2. Proof. Note Im φ(z) = Im z + 2 z + i 2 and 2Im z Im (z + i) s 2Im z + Im ψ(z) = 2(z + i) + 2 (z+i) 2(z + i) + 2. s (z+i) s Thus φ and ψ are holomorphic self-maps of. Note ( σ(z) = ρ φ(z), ) = ψ(z) z + i s (z+i) + 4i(Im z + ) ; s the first equality holds by the Möbius invariance of the pseudohyperbolic distance. Thus (4.) is easily verified, because s > 2. Now, given α > and 0 < p <, put f := τ (3+α)/p i A p α(). Since f is one-to-one in a small closed disk D centered at the origin, the function F (z, w) := { f(z) f(w) z w f (z) if z w if z = w is continuous and zero-free on D D. Thus F has a positive minimum, say m, on D D. It follows that (4.2) f(z) f(w) m z w, z, w D.

19 DIFFERENCES OF COMPOSITION OPERATORS 9 Note φ(z) 0 and ψ(z) 0 as z. Thus, we see from (4.2) that (C φ C ψ )f(z) m φ(z) ψ(z) z + i 2+s for all z with z sufficiently large. Thus, for p α+2 2+s, we conclude (C φ C ψ )f / A p α() by Lemma 2.5 and thus that C φ C ψ cannot be bounded on A p α(). 5. Compactness and Angular Derivatives In this section we investigate compactness by means of angular derivatives. We first fix some notation and terminology. Given φ S, we denote its angular derivative set by F (φ) := {x Ĥ : φ (x) exists} and put (5.) D[φ, x] := ( φ(x), φ (x) ) Ĥ C 0, x F (φ) where C 0 = C\{0}; recall φ (x) 0. Naturally, we refer to D[φ, x] as the first-order data of φ at x. In the settings of the classical bounded domains such as the disk, the ball and the polydisk, it is known that a difference of composition operators cannot be compact unless the inducing maps have exactly the same first-order data; such necessary condition is first observed in [5, Theorem 5.2] on the disk and then extended to the polydisk [3, Corollary 5.9] and to the ball [4, Corollary 3.7]. To our surprise, the coincidence of the first-order data is no longer necessary in general on the half-plane, as the next example shows. Example 5.. Given a 0 with a, let φ, ψ S be given by φ(z) := z + i z and ψ(z) := z + i a z. Then C φ C ψ is compact on any A p α(), but φ and ψ do not have the same firstorder data at 0. Proof. Note that φ(0) = and φ (0) =. On the other hand, we have (a) ψ(0) = i and 0 / F (ψ) if a = 0; (b) ψ(0) = and ψ (0) = /a if a > 0 (and a ). Thus, in either case φ and ψ do not have the same first-order data at 0. Note that C φ and C ψ are both bounded on any A p α() by Theorem 2.4. Thus, to prove the compactness of C φ C ψ on any A p α(), we may assume p = 2 and α = 0 by Corollary 4.7. Now, by Theorem 3.3, it suffices to show that the embedding A 2 0() L 2 (dω) is compact where ω := ω 0,2;φ,ψ is the joint pullback measure induced by φ and ψ. So, given a weak null-sequence {f n } in A 2 0(), we need to show f n 0 in L 2 (dω), or more explicitly by (3.2), (5.2) I n := ( f n (φ) 2 + f n (ψ) 2 )σ 2 da 0. In conjunction with this we note by the uniform boundedness principle and the standard normal family argument that any weak null-sequence in A 2 0() is normbounded and converges to 0 uniformly on each compact subset of. Put M := sup n f n A 2 0 () <.

20 20 B. COE,. KOO, AND W. SMIT We now prove (5.2) for the case a > 0; the case a = 0 is a bit simpler. Given R > > ɛ > 0, put U ɛ := {z : z < ɛ}, V R := {z : z > R} and decompose the defining integral of I n into the sum of three pieces I n = ( f n (φ) 2 + f n (ψ) 2 )σ 2 da V R + U ɛ + \(U ɛ V R ) = : I n, + I n,2 + I n,3. First, we have I n,3 0, because φ and ψ map \(U ɛ V R ) onto relatively compact sets in. Next, to estimate the first integral, note φ ψ Im φ + Im ψ 2 and thus σ(z) 2 a z where c = a 2 > 0. It follows that c R, z V R I n, c2 M 2 R ( C φ 2 + C ψ 2 ) for all n where denotes the operator norm on A 2 0(). Finally, for the second integral, setting ψ (w) := ψ( w ) = aw w +i, we have by an elementary change of variables I n,2 ( f n (φ) 2 + f n (ψ) 2 ) da U ɛ = ( f n (φ(w)) 2 + f n (ψ (w)) 2 ) da(w) V /ɛ w 4 ɛ 4 M 2 ( C φ 2 + C ψ 2 ) for all n; note that C ψ is also bounded on A 2 0() by Theorem 2.4. Combining the observations in the preceding paragraph, we obtain ( lim sup f n 2 dω CM 2 ɛ 4 + ) n R for some constant C = C(φ, ψ) > 0. Since this holds for arbitrary 0 < ɛ < and R >, we conclude (5.2), as required. In view of Example 5., we now proceed to the investigation of a subclass of S for which the coincidence of first-order data is necessary for compact difference. Note that one of the inducing maps in Example 5. maps a finite boundary point to and has finite angular derivative at that boundary point. Such a property will turn out to be the main cause responsible for the pathology demonstrated in Example 5.; see Theorem 5.4 below. We first introduce some notation needed for a couple of technical lemmas. Given ɛ > 0 and x, let R ɛ,x be the ray emanating from x with slope ɛ, i.e., For x =, we put R ɛ,x := {z : Im z = ɛre (z x)}. R ɛ, := {z : Im z = ɛre z}. Note that R ɛ,0 is mapped onto R ɛ,, and vice versa, by the automorphism z. Clearly, each R ɛ,x is a nontangential curve having x as one of the end points.

21 DIFFERENCES OF COMPOSITION OPERATORS 2 Lemma 5.2. Let φ, ψ S. Then (5.3) lim lim ɛ 0 + z x z R ɛ,x for x F (φ) F (ψ). φ(z) φ(z) φ(z) ψ(z) = { if D[ϕ, x] = D[ψ, x] 0 otherwise Proof. Let x F (φ) F (ψ). Clearly, the z-limit in (5.3) is 0 when φ(x) ψ(x). So, assume φ(x) = ψ(x) for the rest of the proof. First, assume x φ(x). Since x F (φ), we have by (2.9) and (2.5) (5.4) Im z lim z x Im φ(z) = φ (x) and the same holds with ψ in place of φ. Note Also, for any ɛ > 0, note and φ(z) ψ(z) φ(z) φ(z) = Im z φ(z) ψ(z) Im φ(z) z z = Im z Im φ(z) z x φ(z) ψ(z) Im ψ(z) + z z z x Im φ(z). z x z z = + ɛi 2ɛi for z R ɛ,x φ(z) ψ(z) lim = φ (x) ψ (x). z x z x We see from these and (5.4) that the z-limit in (5.3) is equal to { + ɛi 2ɛi φ (x) ψ (x) φ (x) + ψ (x) φ (x) }. Now, taking the limit ɛ 0 +, we conclude (5.3). Next, assume x = φ(x). In this case we consider the functions φ (z) := /φ(z) and ψ (z) := /ψ(z). Clearly, φ (x) = ψ (x) = 0. Moreover, it is easily verified that x F (φ ) F (ψ ) with φ (x) = φ (x) and ψ (x) = ψ (x). Also, since ψ(z) lim z x φ(z) = lim (z x)ψ(z) z x (z x)φ(z) = φ (x) ψ (x), we note φ (z) φ (z) lim z x z R ɛ,x φ (z) ψ (z) = lim φ(z) φ(z) z x z R ɛ,x φ(z) ψ(z) ψ(z) φ(z) = φ (x) φ(z) φ(z) lim ψ z x (x) z R ɛ,x φ(z) ψ(z) for any ɛ > 0. So, applying the preceding case to φ and ψ, we obtain (5.3). Finally, when x =, one may apply the previous cases to the functions φ 2 (z) := φ( /z) and ψ 2 (z) := ψ( /z). The proof is complete. In the next lemma the restriction φ(x) cannot be removed. For example, consider φ(z) = z, ψ(z) = i and x = 0.

22 22 B. COE,. KOO, AND W. SMIT Lemma 5.3. Let φ, ψ S. Then for x F (φ) \ F (ψ) with φ(x). lim z x φ(z) φ(z) φ(z) ψ(z) = 0 Proof. By a straightforward calculation we have φ κ (ζ) 2 φ κ (ζ)ψ κ (ζ) = ψ(z) i φ(z) φ(z) φ(z) i φ(z) ψ(z) where ζ = κ (z). Thus, since ψ(z) + i, we have φ(z) φ(z) φ(z) ψ(z) φ(z) + i φ κ(ζ) 2 ζ 2 ζ 2 ψ κ (ζ). Now, for x F (φ)\f (ψ) with φ(x), note by the Julia-Carathéodory Theorem that the right-hand side of the above tends to φ(x) + i φ κ( x) 0 = 0 where x = κ (x) as z x nontangentially. This completes the proof. Put S f := {φ S : φ(x) for all x F (φ) }. We are now ready to prove that compactness implies the coincidence of first-order data, when the inducing maps are confined to the above subclass of S. Theorem 5.4. Let φ, ψ S f and assume that C φ C ψ is compact on some A p α(). Then the following statements hold: (a) F (φ) = F (ψ) =: F ; (b) φ and ψ have the same first-order data at every point of F. Proof. In the proof below we continue using the notation introduced in the proof of Theorem 4.3. To prove (a) it is sufficient to show F (φ) F (ψ) by symmetry. Let x F (φ). Since φ S f, we have either φ(x) or x = = φ( ). In the latter case C φ is bounded on A p α() by Theorem 2.4 and so is C ψ. Thus F (ψ) again by Theorem 2.4. So, assume φ(x). Since φ has nontangential limit φ(x), we have φ(z) as z x along any R ɛ,x. So, given ɛ > 0, we have by (2.22) and thus by (4.5) (5.5) lim z x z R ɛ,x lim T fφ(z) A p = 0 z x α z R ɛ,x [ ] ( (α+2)/p Im z Im φ(z) Meanwhile, since φ(x), note from (2.9) that ) s φ(z) φ(z) ψ(z) φ(z) = 0. Im z lim z x Im φ(z) = x + i 2 φ κ( x) φ(x) + i 2 > 0. It follows from (5.5) (because s > (α + 2)/p is arbitrary) that (5.6) φ(z) φ(z) lim z x z R ɛ,x ψ(z) φ(z) =.

23 DIFFERENCES OF COMPOSITION OPERATORS 23 Thus, we conclude x F (ψ) by Lemma 5.3, as required. Note that (b) is a consequence of (a), (5.6) and Lemma 5.2. The proof is complete. Now, under the additional assumption of boundedness, we characterize compact differences of composition operators with inducing maps in S f by means of angular derivative sets. Theorem 5.5. Let α > and 0 < p <. Let φ, ψ S f and assume that C φ and C ψ are bounded on A p α(). Then the following statements are equivalent: (a) C φ C ψ is compact on A p α(); (b) F (φ) = F (ψ) =: F and (5.7) for all x F. lim z x [ Im z Im φ(z) + Im z ] σ(z) = 0 Im ψ(z) Proof. The implication (a) = (b) is immediate from Corollary 4.7 and Theorem 5.4. Conversely, assume (b). Let y / F. Note y by Theorem 2.4, because C φ and C ψ are bounded on A p α(). Also, note from Proposition 2.3 so that 0 = lim z y φ(z) + i z + i 2 Im z Im φ(z) Im z lim sup y + i 2 z y Im φ(z) Im z lim z y Im φ(z) = 0; the same is true with ψ in place of φ. It follows that lim z y [ Im z Im φ(z) + Im z Im ψ(z) ] σ(z) = 0 for each y F. This, together with (5.7), implies (4.). So, we conclude (a) by Corollary Some Consequences In this section we notice some consequences of our results on boundedness. We begin with a lemma. Lemma 6.. Let φ, ψ S, x and γ : [0, ] be a continuous curve such that Im γ(t) > 0 if t [0, ) and γ() = x. Assume that (6.) lim sup σ(γ(t)) < and lim Im φ(γ(t)) = 0. t t Then φ(γ(t)) ψ(γ(t)) 0 as t. Proof. By the first assumption in (6.) there is some 0 < t 0 < such that and thus we obtain by (2.6) sup σ((γ(t)) < t 0<t< φ(γ(t)) ψ(γ(t)) sup. t 0<t< Im φ(γ(t))

24 24 B. COE,. KOO, AND W. SMIT Now, by this and the second assumption in (6.) we conclude that completing the proof. lim φ(γ(t)) ψ(γ(t)) = 0, t Recall that Aut(), the set of all Möbius transformations from onto, consists of functions φ of the form (6.2) φ(z) = az + b cz + d where a, b, c, d are real and ad bc > 0. Clearly, automorphisms fixing must be linear polynomials and thus induce bounded composition operators. On the other hand, other automorphisms turn out to behave quite rigidly in the sense of the next theorem. Theorem 6.2. Let φ Aut() with φ( ) and ψ S. If C φ C ψ is bounded on some A p α(), then φ = ψ. Proof. Let φ be a function as in (6.2). Note c 0, because φ( ). Note Im φ(z) = (ad bc) Im z cz+d. So, assuming that C 2 φ C ψ is bounded on A p α(), we have by Theorem 4.3(a) sup z + d 2(α+2)/p c σ(z) <. z In particular, for any x > 0 sufficiently large, we have sup σ(z) <. Re z=x Note lim y 0 + Im φ(x + iy) = 0 for any x d c. It follows from Lemma 6. that φ ψ has vanishing boundary values (= radial limit) on a set of positive measure. Thus we conclude ψ = φ on. This completes the proof. The rigidity phenomenon as in Theorem 6.2 does not extend to univalent symbols, as the next proposition shows. Proposition 6.3. There exist distinct univalent φ, ψ S such that C φ and C ψ are both bounded on A p α(), and C φ C ψ is compact on A p α() for any α > and 0 < p <. Proof. Recall that D denotes the unit disk of the complex plane. Let Q D be a simply connected domain with smooth boundary such that Q D = {} and makes order β-contact with D, where < β < 2. Let η be a Riemann map from D onto Q with (radial limit) η() =. It follows from < β that η has (positive) finite angular derivative at ; see [2, p. 72]. Now, choose φ S so that φ κ = η where φ κ is as in (2.4). Then φ is a univalent mapping of onto κ(q) =: Ω, with the properties (i) φ( ) = and φ has finite angular derivative at ; (ii) lim Im w = ; w w Ω (iii) inf w Ω Im w > 0.

25 DIFFERENCES OF COMPOSITION OPERATORS 25 Indeed, property (i) is immediate from the relationship of φ to η; see Section 2.5. To see (ii), let be a disk contained in D with intersecting D at. Since Q makes order β < 2 contact with D, there is a small neighborhood U of such that U Q. Mapping by κ to, we see that there is a neighborhood V := κ(u) of such that V Ω κ( ). By varying, we can get κ( ) to be any half-plane {Im w > t}, 0 < t <, and this establishes (ii). Last, (iii) follows from (ii) and the property Q D = {}. Now define ψ(z) := φ(z) + i, so that ψ also satisfies (i). Thus C φ and C ψ are both bounded on any A p α() by Theorem 2.4. To see that C φ C ψ is compact on A p α(), by Corollary 4.7 it suffices to show that (4.) holds. From (iii) we see that lim Im z 0 + [ Im z Im φ(z) + Im z Im ψ(z) ] = 0. ence (4.) holds as z, since σ(z). Next, as z in, φ(z) and by (ii) Im φ(z). ence φ(z) (i + φ(z)) lim σ(z) = lim = lim z z φ(z) ψ(z) z + 2Im φ(z) = 0. Also, from (i) and Proposition 2.2(b), we have [ Im z Im φ(z) + sup z Im z Im ψ(z) ] <, and hence [ Im z lim z Im φ(z) + Im z ] σ(z) = 0. Im ψ(z) This completes the proof that (4.) holds as z C φ C ψ is compact on A p α(). Ĥ, and thus the proof that In general we observe the following. Proposition 6.4. Let φ, ψ S and assume that C φ C ψ is bounded on some A p α(). Assume φ( ). Then there is a sequence {z n } such that z n nontangentially and φ(z n ) ψ(z n ) 0 as n. Proof. Since φ( ), there is a sequence {z n } such that z n nontangentially and {φ(z n )} stays bounded. So, passing to a subsequence if needed, we may assume φ(z n ) a for some a. Note that Im z n, because z n nontangentially. It follows that Im z n Im φ(z n). So, we have (6.3) σ(z n ) 0 by Theorem 4.3(). This clearly implies ψ(z n ) a if a. On the other hand, if a, then Im φ(z n ) Im a = 0. So, we conclude ψ(z n ) a by Lemma 6.. We remark that φ( ) is essential in the above proposition. For example, consider the bounded difference C z C 2z.

26 26 B. COE,. KOO, AND W. SMIT 7. ilbert-schmidt Differences In this section we characterize ilbert-schmidt differences of composition operators on A 2 α() by means of square-integrability (with respect to the Möbiusinvariant measure) of the quantity [ Im z Im φ(z) + Im z ] (α+2)/2 σ(z), Im ψ(z) which already appeared in the previous sections. Recall that a bounded linear operator T on a separable ilbert space X with an orthonormal basis {e β } is called ilbert-schmidt if the norm T S(X) := T e β 2 is finite. As is well known, the value (possibly ) of the sum on the right-hand side of the above does not depend on the choice of orthonormal basis. It is well known that every ilbert-schmidt operator is compact; see [24, Section 6.2] for details. Throughout the section the parameters α > and p = 2 are fixed. So, we simplify notation by writing We have (7.) β /2 K z := K (α) z and K z α := K z A 2 α. C φ C ψ 2 S(A 2 α ) = K φ(z) K ψ(z) 2 α da α (z), for φ, ψ S; this is proved in [2, Proposition 3.] (in fact for general linear combinations) over the disk and the proof remains precisely the same over the half-plane. Motivated by (7.), we will establish the optimal norm estimate K z K w α K z α + K w α ρ(z, w) for z, w. Based on the identity (2.2), this estimate was first observed over the disk in [2] and then extended to the polydisk in [3]. One may modify the earlier proofs to fit to the setting of the half-plane. Details are included below for readers convenience. We need Lemma 7.3 below, whose disk and polydisk analogues were the key tools in [2] and [3]. We need a couple of preliminary lemmas. Lemma 7.. Given s > 0, the inequality z s w s 8s ρ(z, w) ρ(z, w) holds for z, w. Proof. Fix s > 0 and let z, w. Note z s = s(z w) ws 0 ( Im z + ) s Im w dt [tz + ( t)w] s+.

27 Also, note Im ξ Im z + Im w DIFFERENCES OF COMPOSITION OPERATORS 27 for any ξ on the line segment connecting z and w. Thus we have z s ( w s s z w Im z + ) s+ Im w ( = sρ(z, w) z w Im z + Im w ρ(z, w) 4s (Im z) ρ(z, w) ) s+ ( Im z + Im w ) s+ ; the last inequality comes from (2.6). By symmetry we obtain z s ( w s 4s ρ(z, w) min(im z, Im w) ρ(z, w) Im z + ) s+, Im w which implies the asserted inequality. Lemma 7.2. Given s real and 0 < δ <, there is a constant C = C(s, δ) > 0 such that ( ) s z a w a Cρ(z, w) for a, z, w with ρ(z, w) < δ. Proof. By symmetry we may assume s > 0. Note that ξ s / ξ stays bounded as ξ. Thus we have { ξ s M := sup ξ : δ + δ < ξ < + δ }, ξ / R < δ where R denotes the set of all negative real numbers. Now, given a, z, w with ρ(z, w) < δ, we have by (2.5) ( ) s z a w a M z w w w a Mρ(z, w) z Im w. So, we conclude the lemma by (2.6). As a consequence of Lemma 7.2 we see that [( ) s ] z a (7.2) Re > 0 w a for a, z, w with ρ(z, w) < δ when δ = δ(s) is sufficiently small. Using this and Lemma 7., we now prove the next lemma. Lemma 7.3. Given s > 0, there is a constant C = C(s) > 0 such that ( ) s i z w s Re ρ 2 (z, w) C z w (Im z) s/2 (Im w) s/2 for z, w. Proof. Fix s > 0 and let z, w. Since z w Im z + Im w, the inequality in question is elementary when ρ(z, w) stays away from 0. So, we only need to consider the case when ρ(z, w) is small. Fix a sufficiently small δ = δ(s) > 0 for which (7.2) holds.

DIFFERENCE OF COMPOSITION OPERATORS OVER THE HALF-PLANE

DIFFERENCE OF COMPOSITION OPERATORS OVER THE HALF-PLANE DIFFERENCE OF COMPOSITION OPERATORS OVER TE ALF-PLANE BOO RIM COE, YUNGWOON KOO, AND WAYNE SMIT Abstract. We study the differences of composition operators acting on weighted Bergman spaces over the upper

More information

SARASON S COMPOSITION OPERATOR OVER THE HALF-PLANE

SARASON S COMPOSITION OPERATOR OVER THE HALF-PLANE SARASON S COMPOSITION OPERATOR OVER THE HALF-PLANE BOO RIM CHOE, HYUNGWOON KOO, AND WAYNE SMITH In memory of Donald Sarason Abstract. Let H = {z C : Im z > 0} be the upper half plane, and denote by L p

More information

Derivatives of Harmonic Bergman and Bloch Functions on the Ball

Derivatives of Harmonic Bergman and Bloch Functions on the Ball Journal of Mathematical Analysis and Applications 26, 1 123 (21) doi:1.16/jmaa.2.7438, available online at http://www.idealibrary.com on Derivatives of Harmonic ergman and loch Functions on the all oo

More information

Composition operators: the essential norm and norm-attaining

Composition operators: the essential norm and norm-attaining Composition operators: the essential norm and norm-attaining Mikael Lindström Department of Mathematical Sciences University of Oulu Valencia, April, 2011 The purpose of this talk is to first discuss the

More information

A TALE OF TWO CONFORMALLY INVARIANT METRICS

A TALE OF TWO CONFORMALLY INVARIANT METRICS A TALE OF TWO CONFORMALLY INVARIANT METRICS H. S. BEAR AND WAYNE SMITH Abstract. The Harnack metric is a conformally invariant metric defined in quite general domains that coincides with the hyperbolic

More information

Composition Operators on the Fock Space

Composition Operators on the Fock Space Composition Operators on the Fock Space Brent Carswell Barbara D. MacCluer Alex Schuster Abstract We determine the holomorphic mappings of C n that induce bounded composition operators on the Fock space

More information

PICARD S THEOREM STEFAN FRIEDL

PICARD S THEOREM STEFAN FRIEDL PICARD S THEOREM STEFAN FRIEDL Abstract. We give a summary for the proof of Picard s Theorem. The proof is for the most part an excerpt of [F]. 1. Introduction Definition. Let U C be an open subset. A

More information

Composition Operators with Multivalent Symbol

Composition Operators with Multivalent Symbol Composition Operators with Multivalent Symbol Rebecca G. Wahl University of South Dakota, Vermillion, South Dakota 57069 March 10, 007 Abstract If ϕ is an analytic map of the unit disk D into itself, the

More information

COMPOSITION OPERATORS INDUCED BY SYMBOLS DEFINED ON A POLYDISK

COMPOSITION OPERATORS INDUCED BY SYMBOLS DEFINED ON A POLYDISK COMPOSITION OPERATORS INDUCED BY SYMBOLS DEFINED ON A POLYDISK MICHAEL STESSIN AND KEHE ZHU* ABSTRACT. Suppose ϕ is a holomorphic mapping from the polydisk D m into the polydisk D n, or from the polydisk

More information

Fractional Derivatives of Bloch Functions, Growth Rate, and Interpolation. Boo Rim Choe and Kyung Soo Rim

Fractional Derivatives of Bloch Functions, Growth Rate, and Interpolation. Boo Rim Choe and Kyung Soo Rim Fractional Derivatives of loch Functions, Growth Rate, and Interpolation oo Rim Choe and Kyung Soo Rim Abstract. loch functions on the ball are usually described by means of a restriction on the growth

More information

SAMPLING SEQUENCES FOR BERGMAN SPACES FOR p < 1. Alexander P. Schuster and Dror Varolin

SAMPLING SEQUENCES FOR BERGMAN SPACES FOR p < 1. Alexander P. Schuster and Dror Varolin SAMPLING SEQUENCES FOR BERGMAN SPACES FOR p < Alexander P. Schuster and ror Varolin Abstract. We provide a proof of the sufficiency direction of Seip s characterization of sampling sequences for Bergman

More information

Composition Operators on Hilbert Spaces of Analytic Functions

Composition Operators on Hilbert Spaces of Analytic Functions Composition Operators on Hilbert Spaces of Analytic Functions Carl C. Cowen IUPUI (Indiana University Purdue University Indianapolis) and Purdue University First International Conference on Mathematics

More information

Difference of composition operators on weighted Bergman spaces over the half-plane

Difference of composition operators on weighted Bergman spaces over the half-plane Wang and Pang Journal of Inequalities and Applications (016) 016:06 DOI 10.1186/s13660-016-1149- RESEARCH Open Access Difference of composition operators on weighted Bergman spaces over the half-plane

More information

MORE NOTES FOR MATH 823, FALL 2007

MORE NOTES FOR MATH 823, FALL 2007 MORE NOTES FOR MATH 83, FALL 007 Prop 1.1 Prop 1. Lemma 1.3 1. The Siegel upper half space 1.1. The Siegel upper half space and its Bergman kernel. The Siegel upper half space is the domain { U n+1 z C

More information

COMPACT DIFFERENCE OF WEIGHTED COMPOSITION OPERATORS ON N p -SPACES IN THE BALL

COMPACT DIFFERENCE OF WEIGHTED COMPOSITION OPERATORS ON N p -SPACES IN THE BALL COMPACT DIFFERENCE OF WEIGHTED COMPOSITION OPERATORS ON N p -SPACES IN THE BALL HU BINGYANG and LE HAI KHOI Communicated by Mihai Putinar We obtain necessary and sucient conditions for the compactness

More information

MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5

MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5 MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5.. The Arzela-Ascoli Theorem.. The Riemann mapping theorem Let X be a metric space, and let F be a family of continuous complex-valued functions on X. We have

More information

Hartogs Theorem: separate analyticity implies joint Paul Garrett garrett/

Hartogs Theorem: separate analyticity implies joint Paul Garrett  garrett/ (February 9, 25) Hartogs Theorem: separate analyticity implies joint Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ (The present proof of this old result roughly follows the proof

More information

Linear Fractional Composition Operators over the Half-plane

Linear Fractional Composition Operators over the Half-plane Linear Fractional Comosition Oerators over the Half-lane Boo Rim Choe, Hyungwoon Koo and Wayne Smith Abstract. In the setting of the Hardy saces or the standard weighted Bergman saces over the unit ball

More information

HARDY SPACES THAT SUPPORT NO COMPACT COMPOSITION OPERATORS

HARDY SPACES THAT SUPPORT NO COMPACT COMPOSITION OPERATORS HARDY SPACES THAT SUPPORT NO COMPACT COMPOSITION OPERATORS JOEL H. SHAPIRO AND WAYNE SMITH Abstract. We consider, for G a simply connected domain and 0 < p

More information

An introduction to some aspects of functional analysis

An introduction to some aspects of functional analysis An introduction to some aspects of functional analysis Stephen Semmes Rice University Abstract These informal notes deal with some very basic objects in functional analysis, including norms and seminorms

More information

COMPLETELY INVARIANT JULIA SETS OF POLYNOMIAL SEMIGROUPS

COMPLETELY INVARIANT JULIA SETS OF POLYNOMIAL SEMIGROUPS Series Logo Volume 00, Number 00, Xxxx 19xx COMPLETELY INVARIANT JULIA SETS OF POLYNOMIAL SEMIGROUPS RICH STANKEWITZ Abstract. Let G be a semigroup of rational functions of degree at least two, under composition

More information

An Introduction to Complex Analysis and Geometry John P. D Angelo, Pure and Applied Undergraduate Texts Volume 12, American Mathematical Society, 2010

An Introduction to Complex Analysis and Geometry John P. D Angelo, Pure and Applied Undergraduate Texts Volume 12, American Mathematical Society, 2010 An Introduction to Complex Analysis and Geometry John P. D Angelo, Pure and Applied Undergraduate Texts Volume 12, American Mathematical Society, 2010 John P. D Angelo, Univ. of Illinois, Urbana IL 61801.

More information

LINEAR FRACTIONAL COMPOSITION OPERATORS OVER THE HALF-PLANE

LINEAR FRACTIONAL COMPOSITION OPERATORS OVER THE HALF-PLANE LINEAR FRACTIONAL COMPOSITION OPERATORS OVER THE HALF-PLANE BOO RIM CHOE, HYUNGWOON KOO, AND WAYNE SMITH Abstract. In the setting of the Hardy saces or the standard weighted Bergman saces over the unit

More information

UNIFORM DENSITIES OF REGULAR SEQUENCES IN THE UNIT DISK. Peter L. Duren, Alexander P. Schuster and Kristian Seip

UNIFORM DENSITIES OF REGULAR SEQUENCES IN THE UNIT DISK. Peter L. Duren, Alexander P. Schuster and Kristian Seip UNIFORM DENSITIES OF REGULAR SEQUENCES IN THE UNIT DISK Peter L. Duren, Alexander P. Schuster and Kristian Seip Abstract. The upper and lower uniform densities of some regular sequences are computed. These

More information

8 8 THE RIEMANN MAPPING THEOREM. 8.1 Simply Connected Surfaces

8 8 THE RIEMANN MAPPING THEOREM. 8.1 Simply Connected Surfaces 8 8 THE RIEMANN MAPPING THEOREM 8.1 Simply Connected Surfaces Our aim is to prove the Riemann Mapping Theorem which states that every simply connected Riemann surface R is conformally equivalent to D,

More information

A brief review on Brennan s conjecture

A brief review on Brennan s conjecture Department of Mathematics, Aristotle University of Thessaloniki, Greece. Malaga, July 10-14, 2011 Notation and Background Classes of analytic functions 1. Basic notation C = C { }, The extened complex

More information

CARLESON MEASURES AND DOUGLAS QUESTION ON THE BERGMAN SPACE. Department of Mathematics, University of Toledo, Toledo, OH ANTHONY VASATURO

CARLESON MEASURES AND DOUGLAS QUESTION ON THE BERGMAN SPACE. Department of Mathematics, University of Toledo, Toledo, OH ANTHONY VASATURO CARLESON MEASURES AN OUGLAS QUESTION ON THE BERGMAN SPACE ŽELJKO ČUČKOVIĆ epartment of Mathematics, University of Toledo, Toledo, OH 43606 ANTHONY VASATURO epartment of Mathematics, University of Toledo,

More information

COMPOSITION SEMIGROUPS ON BMOA AND H AUSTIN ANDERSON, MIRJANA JOVOVIC, AND WAYNE SMITH

COMPOSITION SEMIGROUPS ON BMOA AND H AUSTIN ANDERSON, MIRJANA JOVOVIC, AND WAYNE SMITH COMPOSITION SEMIGROUPS ON BMOA AND H AUSTIN ANDERSON, MIRJANA JOVOVIC, AND WAYNE SMITH Abstract. We study [ϕ t, X], the maximal space of strong continuity for a semigroup of composition operators induced

More information

Introduction to The Dirichlet Space

Introduction to The Dirichlet Space Introduction to The Dirichlet Space MSRI Summer Graduate Workshop Richard Rochberg Washington University St, Louis MO, USA June 16, 2011 Rochberg () The Dirichlet Space June 16, 2011 1 / 21 Overview Study

More information

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify

More information

BLOCH FUNCTIONS ON THE UNIT BALL OF AN INFINITE DIMENSIONAL HILBERT SPACE

BLOCH FUNCTIONS ON THE UNIT BALL OF AN INFINITE DIMENSIONAL HILBERT SPACE BLOCH FUNCTIONS ON THE UNIT BALL OF AN INFINITE DIMENSIONAL HILBERT SPACE OSCAR BLASCO, PABLO GALINDO, AND ALEJANDRO MIRALLES Abstract. The Bloch space has been studied on the open unit disk of C and some

More information

7 Complete metric spaces and function spaces

7 Complete metric spaces and function spaces 7 Complete metric spaces and function spaces 7.1 Completeness Let (X, d) be a metric space. Definition 7.1. A sequence (x n ) n N in X is a Cauchy sequence if for any ɛ > 0, there is N N such that n, m

More information

Lecture 4 Lebesgue spaces and inequalities

Lecture 4 Lebesgue spaces and inequalities Lecture 4: Lebesgue spaces and inequalities 1 of 10 Course: Theory of Probability I Term: Fall 2013 Instructor: Gordan Zitkovic Lecture 4 Lebesgue spaces and inequalities Lebesgue spaces We have seen how

More information

ON THE NORM OF A COMPOSITION OPERATOR WITH LINEAR FRACTIONAL SYMBOL

ON THE NORM OF A COMPOSITION OPERATOR WITH LINEAR FRACTIONAL SYMBOL ON THE NORM OF A COMPOSITION OPERATOR WITH LINEAR FRACTIONAL SYMBOL CHRISTOPHER HAMMOND Abstract. For any analytic map ϕ : D D, the composition operator C ϕ is bounded on the Hardy space H 2, but there

More information

arxiv: v3 [math.cv] 4 Mar 2014

arxiv: v3 [math.cv] 4 Mar 2014 ON HARMONIC FUNCTIONS AND THE HYPERBOLIC METRIC arxiv:1307.4006v3 [math.cv] 4 Mar 2014 MARIJAN MARKOVIĆ Abstract. Motivated by some recent results of Kalaj and Vuorinen (Proc. Amer. Math. Soc., 2012),

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

ON HARMONIC FUNCTIONS ON SURFACES WITH POSITIVE GAUSS CURVATURE AND THE SCHWARZ LEMMA

ON HARMONIC FUNCTIONS ON SURFACES WITH POSITIVE GAUSS CURVATURE AND THE SCHWARZ LEMMA ROCKY MOUNTAIN JOURNAL OF MATHEMATICS Volume 44, Number 5, 24 ON HARMONIC FUNCTIONS ON SURFACES WITH POSITIVE GAUSS CURVATURE AND THE SCHWARZ LEMMA DAVID KALAJ ABSTRACT. We prove some versions of the Schwarz

More information

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable

More information

Conformal Mappings. Chapter Schwarz Lemma

Conformal Mappings. Chapter Schwarz Lemma Chapter 5 Conformal Mappings In this chapter we study analytic isomorphisms. An analytic isomorphism is also called a conformal map. We say that f is an analytic isomorphism of U with V if f is an analytic

More information

2. Function spaces and approximation

2. Function spaces and approximation 2.1 2. Function spaces and approximation 2.1. The space of test functions. Notation and prerequisites are collected in Appendix A. Let Ω be an open subset of R n. The space C0 (Ω), consisting of the C

More information

DERIVATIVE-FREE CHARACTERIZATIONS OF Q K SPACES

DERIVATIVE-FREE CHARACTERIZATIONS OF Q K SPACES ERIVATIVE-FREE CHARACTERIZATIONS OF Q K SPACES HASI WULAN AN KEHE ZHU ABSTRACT. We give two characterizations of the Möbius invariant Q K spaces, one in terms of a double integral and the other in terms

More information

TRANSLATION INVARIANCE OF FOCK SPACES

TRANSLATION INVARIANCE OF FOCK SPACES TRANSLATION INVARIANCE OF FOCK SPACES KEHE ZHU ABSTRACT. We show that there is only one Hilbert space of entire functions that is invariant under the action of naturally defined weighted translations.

More information

Geometric Complex Analysis. Davoud Cheraghi Imperial College London

Geometric Complex Analysis. Davoud Cheraghi Imperial College London Geometric Complex Analysis Davoud Cheraghi Imperial College London May 9, 2017 Introduction The subject of complex variables appears in many areas of mathematics as it has been truly the ancestor of many

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

Möbius Transformation

Möbius Transformation Möbius Transformation 1 1 June 15th, 2010 Mathematics Science Center Tsinghua University Philosophy Rigidity Conformal mappings have rigidity. The diffeomorphism group is of infinite dimension in general.

More information

INTRODUCTION TO REAL ANALYTIC GEOMETRY

INTRODUCTION TO REAL ANALYTIC GEOMETRY INTRODUCTION TO REAL ANALYTIC GEOMETRY KRZYSZTOF KURDYKA 1. Analytic functions in several variables 1.1. Summable families. Let (E, ) be a normed space over the field R or C, dim E

More information

Chapter 6: The metric space M(G) and normal families

Chapter 6: The metric space M(G) and normal families Chapter 6: The metric space MG) and normal families Course 414, 003 04 March 9, 004 Remark 6.1 For G C open, we recall the notation MG) for the set algebra) of all meromorphic functions on G. We now consider

More information

A NEW CLASS OF OPERATORS AND A DESCRIPTION OF ADJOINTS OF COMPOSITION OPERATORS

A NEW CLASS OF OPERATORS AND A DESCRIPTION OF ADJOINTS OF COMPOSITION OPERATORS A NEW CLASS OF OPERATORS AND A DESCRIPTION OF ADJOINTS OF COMPOSITION OPERATORS CARL C. COWEN AND EVA A. GALLARDO-GUTIÉRREZ Abstract. Starting with a general formula, precise but difficult to use, for

More information

IV. Conformal Maps. 1. Geometric interpretation of differentiability. 2. Automorphisms of the Riemann sphere: Möbius transformations

IV. Conformal Maps. 1. Geometric interpretation of differentiability. 2. Automorphisms of the Riemann sphere: Möbius transformations MTH6111 Complex Analysis 2009-10 Lecture Notes c Shaun Bullett 2009 IV. Conformal Maps 1. Geometric interpretation of differentiability We saw from the definition of complex differentiability that if f

More information

Iteration in the disk and the ball

Iteration in the disk and the ball Noname manuscript No. (will be inserted by the editor) Iteration in the disk and the ball A survey of the role of hyperbolic geometry Pietro Poggi-Corradini Received: date / Accepted: date Abstract We

More information

Deviation Measures and Normals of Convex Bodies

Deviation Measures and Normals of Convex Bodies Beiträge zur Algebra und Geometrie Contributions to Algebra Geometry Volume 45 (2004), No. 1, 155-167. Deviation Measures Normals of Convex Bodies Dedicated to Professor August Florian on the occasion

More information

Multiple interpolation and extremal functions in the Bergman spaces

Multiple interpolation and extremal functions in the Bergman spaces Multiple interpolation and extremal functions in the Bergman spaces Mark Krosky and Alexander P. Schuster Abstract. Multiple interpolation sequences for the Bergman space are characterized. In addition,

More information

PRODUCTS OF TOEPLITZ OPERATORS ON THE FOCK SPACE

PRODUCTS OF TOEPLITZ OPERATORS ON THE FOCK SPACE PRODUCTS OF TOEPLITZ OPERATORS ON THE FOCK SPACE HONG RAE CHO, JONG-DO PARK, AND KEHE ZHU ABSTRACT. Let f and g be functions, not identically zero, in the Fock space F 2 α of. We show that the product

More information

Tools from Lebesgue integration

Tools from Lebesgue integration Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given

More information

Problem Set 6: Solutions Math 201A: Fall a n x n,

Problem Set 6: Solutions Math 201A: Fall a n x n, Problem Set 6: Solutions Math 201A: Fall 2016 Problem 1. Is (x n ) n=0 a Schauder basis of C([0, 1])? No. If f(x) = a n x n, n=0 where the series converges uniformly on [0, 1], then f has a power series

More information

ON COMPACTNESS OF THE DIFFERENCE OF COMPOSITION OPERATORS. C φ 2 e = lim sup w 1

ON COMPACTNESS OF THE DIFFERENCE OF COMPOSITION OPERATORS. C φ 2 e = lim sup w 1 ON COMPACTNESS OF THE DIFFERENCE OF COMPOSITION OPERATORS PEKKA NIEMINEN AND EERO SAKSMAN Abstract. We give a negative answer to a conjecture of J. E. Shapiro concerning compactness of the dierence of

More information

Difference of two weighted composition operators on Bergman spaces

Difference of two weighted composition operators on Bergman spaces Difference of two weighted comosition oerators on Bergman saces S. Acharyya, Z. Wu Deartment of Math, Physical, and, Life Sciences Embry - Riddle Aeronautical University Worldwide, Deartment of Mathematical

More information

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space 1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization

More information

BELLWETHERS OF COMPOSITION OPERATORS ACTING BETWEEN WEIGHTED BERGMAN SPACES AND WEIGHTED BANACH SPACES OF HOLOMORPHIC FUNCTIONS. E.

BELLWETHERS OF COMPOSITION OPERATORS ACTING BETWEEN WEIGHTED BERGMAN SPACES AND WEIGHTED BANACH SPACES OF HOLOMORPHIC FUNCTIONS. E. Acta Universitatis Apulensis ISSN: 58-539 http://www.uab.ro/auajournal/ No. 54/08 pp. 5-38 doi: 0.74/j.aua.08.54.0 BELLWETHERS OF COMPOSITION OPERATORS ACTING BETWEEN WEIGHTED BERGMAN SPACES AND WEIGHTED

More information

3. 4. Uniformly normal families and generalisations

3. 4. Uniformly normal families and generalisations Summer School Normal Families in Complex Analysis Julius-Maximilians-Universität Würzburg May 22 29, 2015 3. 4. Uniformly normal families and generalisations Aimo Hinkkanen University of Illinois at Urbana

More information

INVARIANT GRADIENT IN REFINEMENTS OF SCHWARZ AND HARNACK INEQUALITIES

INVARIANT GRADIENT IN REFINEMENTS OF SCHWARZ AND HARNACK INEQUALITIES Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 43, 208, 39 399 INVARIANT GRADIENT IN REFINEMENTS OF SCHWARZ AND HARNACK INEQUALITIES Petar Melentijević University of Belgrade, Faculty of Mathematics

More information

Solutions to Exercises 6.1

Solutions to Exercises 6.1 34 Chapter 6 Conformal Mappings Solutions to Exercises 6.. An analytic function fz is conformal where f z. If fz = z + e z, then f z =e z z + z. We have f z = z z += z =. Thus f is conformal at all z.

More information

arxiv: v1 [math.cv] 21 Sep 2007

arxiv: v1 [math.cv] 21 Sep 2007 Proc. Indian Acad. Sci. (Math. Sci. Vol. 117, No. 3, August 2003, pp. 371 385. Printed in India Weighted composition operators from Bergman-type spaces into Bloch spaces arxiv:0709.3347v1 [math.cv] 21

More information

Chapter One. The Calderón-Zygmund Theory I: Ellipticity

Chapter One. The Calderón-Zygmund Theory I: Ellipticity Chapter One The Calderón-Zygmund Theory I: Ellipticity Our story begins with a classical situation: convolution with homogeneous, Calderón- Zygmund ( kernels on R n. Let S n 1 R n denote the unit sphere

More information

COMPOSITION OPERATORS ON ANALYTIC WEIGHTED HILBERT SPACES

COMPOSITION OPERATORS ON ANALYTIC WEIGHTED HILBERT SPACES COMPOSITION OPERATORS ON ANALYTIC WEIGHTE HILBERT SPACES K. KELLAY Abstract. We consider composition operators in the analytic weighted Hilbert space. Various criteria on boundedness, compactness and Hilbert-Schmidt

More information

Riemann sphere and rational maps

Riemann sphere and rational maps Chapter 3 Riemann sphere and rational maps 3.1 Riemann sphere It is sometimes convenient, and fruitful, to work with holomorphic (or in general continuous) functions on a compact space. However, we wish

More information

MATH 426, TOPOLOGY. p 1.

MATH 426, TOPOLOGY. p 1. MATH 426, TOPOLOGY THE p-norms In this document we assume an extended real line, where is an element greater than all real numbers; the interval notation [1, ] will be used to mean [1, ) { }. 1. THE p

More information

Introduction to Real Analysis Alternative Chapter 1

Introduction to Real Analysis Alternative Chapter 1 Christopher Heil Introduction to Real Analysis Alternative Chapter 1 A Primer on Norms and Banach Spaces Last Updated: March 10, 2018 c 2018 by Christopher Heil Chapter 1 A Primer on Norms and Banach Spaces

More information

2) Let X be a compact space. Prove that the space C(X) of continuous real-valued functions is a complete metric space.

2) Let X be a compact space. Prove that the space C(X) of continuous real-valued functions is a complete metric space. University of Bergen General Functional Analysis Problems with solutions 6 ) Prove that is unique in any normed space. Solution of ) Let us suppose that there are 2 zeros and 2. Then = + 2 = 2 + = 2. 2)

More information

7.2 Conformal mappings

7.2 Conformal mappings 7.2 Conformal mappings Let f be an analytic function. At points where f (z) 0 such a map has the remarkable property that it is conformal. This means that angle is preserved (in the sense that any 2 smooth

More information

Introduction and Preliminaries

Introduction and Preliminaries Chapter 1 Introduction and Preliminaries This chapter serves two purposes. The first purpose is to prepare the readers for the more systematic development in later chapters of methods of real analysis

More information

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability... Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................

More information

Plurisubharmonic Functions and Pseudoconvex Domains

Plurisubharmonic Functions and Pseudoconvex Domains Plurisubharmonic Functions and Pseudoconvex Domains Thomas Jackson June 8, 218 1 Introduction The purpose of this project is to give a brief background of basic complex analysis in several complex variables

More information

LECTURE 15: COMPLETENESS AND CONVEXITY

LECTURE 15: COMPLETENESS AND CONVEXITY LECTURE 15: COMPLETENESS AND CONVEXITY 1. The Hopf-Rinow Theorem Recall that a Riemannian manifold (M, g) is called geodesically complete if the maximal defining interval of any geodesic is R. On the other

More information

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books.

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books. Applied Analysis APPM 44: Final exam 1:3pm 4:pm, Dec. 14, 29. Closed books. Problem 1: 2p Set I = [, 1]. Prove that there is a continuous function u on I such that 1 ux 1 x sin ut 2 dt = cosx, x I. Define

More information

RIEMANN MAPPING THEOREM

RIEMANN MAPPING THEOREM RIEMANN MAPPING THEOREM VED V. DATAR Recall that two domains are called conformally equivalent if there exists a holomorphic bijection from one to the other. This automatically implies that there is an

More information

l(y j ) = 0 for all y j (1)

l(y j ) = 0 for all y j (1) Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that

More information

Qualifying Exam Complex Analysis (Math 530) January 2019

Qualifying Exam Complex Analysis (Math 530) January 2019 Qualifying Exam Complex Analysis (Math 53) January 219 1. Let D be a domain. A function f : D C is antiholomorphic if for every z D the limit f(z + h) f(z) lim h h exists. Write f(z) = f(x + iy) = u(x,

More information

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite

More information

POINTWISE MULTIPLIERS FROM WEIGHTED BERGMAN SPACES AND HARDY SPACES TO WEIGHTED BERGMAN SPACES

POINTWISE MULTIPLIERS FROM WEIGHTED BERGMAN SPACES AND HARDY SPACES TO WEIGHTED BERGMAN SPACES Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 29, 24, 139 15 POINTWISE MULTIPLIERS FROM WEIGHTE BERGMAN SPACES AN HARY SPACES TO WEIGHTE BERGMAN SPACES Ruhan Zhao University of Toledo, epartment

More information

F (z) =f(z). f(z) = a n (z z 0 ) n. F (z) = a n (z z 0 ) n

F (z) =f(z). f(z) = a n (z z 0 ) n. F (z) = a n (z z 0 ) n 6 Chapter 2. CAUCHY S THEOREM AND ITS APPLICATIONS Theorem 5.6 (Schwarz reflection principle) Suppose that f is a holomorphic function in Ω + that extends continuously to I and such that f is real-valued

More information

9 Radon-Nikodym theorem and conditioning

9 Radon-Nikodym theorem and conditioning Tel Aviv University, 2015 Functions of real variables 93 9 Radon-Nikodym theorem and conditioning 9a Borel-Kolmogorov paradox............. 93 9b Radon-Nikodym theorem.............. 94 9c Conditioning.....................

More information

POINTWISE PRODUCTS OF UNIFORMLY CONTINUOUS FUNCTIONS

POINTWISE PRODUCTS OF UNIFORMLY CONTINUOUS FUNCTIONS SARAJEVO JOURNAL OF MATHEMATICS Vol.1 (13) (2005), 117 127 POINTWISE PRODUCTS OF UNIFORMLY CONTINUOUS FUNCTIONS SAM B. NADLER, JR. Abstract. The problem of characterizing the metric spaces on which the

More information

Complex Analysis Qualifying Exam Solutions

Complex Analysis Qualifying Exam Solutions Complex Analysis Qualifying Exam Solutions May, 04 Part.. Let log z be the principal branch of the logarithm defined on G = {z C z (, 0]}. Show that if t > 0, then the equation log z = t has exactly one

More information

Math 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces.

Math 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces. Math 350 Fall 2011 Notes about inner product spaces In this notes we state and prove some important properties of inner product spaces. First, recall the dot product on R n : if x, y R n, say x = (x 1,...,

More information

LINEAR FRACTIONAL COMPOSITION OPERATORS ON H 2

LINEAR FRACTIONAL COMPOSITION OPERATORS ON H 2 J Integral Equations and Operator Theory (988, 5 60 LINEAR FRACTIONAL COMPOSITION OPERATORS ON H 2 CARL C COWEN Abstract If ϕ is an analytic function mapping the unit disk D into itself, the composition

More information

INTEGRATION OPERATORS FROM CAUCHY INTEGRAL TRANSFORMS TO WEIGHTED DIRICHLET SPACES. Ajay K. Sharma and Anshu Sharma (Received 16 April, 2013)

INTEGRATION OPERATORS FROM CAUCHY INTEGRAL TRANSFORMS TO WEIGHTED DIRICHLET SPACES. Ajay K. Sharma and Anshu Sharma (Received 16 April, 2013) NEW ZEALAN JOURNAL OF MATHEMATICS Volume 44 (204), 93 0 INTEGRATION OPERATORS FROM CAUCHY INTEGRAL TRANSFORMS TO WEIGHTE IRICHLET SPACES Ajay K. Sharma and Anshu Sharma (Received 6 April, 203) Abstract.

More information

ANALYSIS QUALIFYING EXAM FALL 2017: SOLUTIONS. 1 cos(nx) lim. n 2 x 2. g n (x) = 1 cos(nx) n 2 x 2. x 2.

ANALYSIS QUALIFYING EXAM FALL 2017: SOLUTIONS. 1 cos(nx) lim. n 2 x 2. g n (x) = 1 cos(nx) n 2 x 2. x 2. ANALYSIS QUALIFYING EXAM FALL 27: SOLUTIONS Problem. Determine, with justification, the it cos(nx) n 2 x 2 dx. Solution. For an integer n >, define g n : (, ) R by Also define g : (, ) R by g(x) = g n

More information

Two Lemmas in Local Analytic Geometry

Two Lemmas in Local Analytic Geometry Two Lemmas in Local Analytic Geometry Charles L Epstein and Gennadi M Henkin Department of Mathematics, University of Pennsylvania and University of Paris, VI This paper is dedicated to Leon Ehrenpreis

More information

Riemann Mapping Theorem (4/10-4/15)

Riemann Mapping Theorem (4/10-4/15) Math 752 Spring 2015 Riemann Mapping Theorem (4/10-4/15) Definition 1. A class F of continuous functions defined on an open set G is called a normal family if every sequence of elements in F contains a

More information

HYPERBOLICITY IN UNBOUNDED CONVEX DOMAINS

HYPERBOLICITY IN UNBOUNDED CONVEX DOMAINS HYPERBOLICITY IN UNBOUNDED CONVEX DOMAINS FILIPPO BRACCI AND ALBERTO SARACCO ABSTRACT. We provide several equivalent characterizations of Kobayashi hyperbolicity in unbounded convex domains in terms of

More information

A HARDY LITTLEWOOD THEOREM FOR BERGMAN SPACES

A HARDY LITTLEWOOD THEOREM FOR BERGMAN SPACES Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 43, 2018, 807 821 A HARY LITTLEWOO THEOREM FOR BERGMAN SPACES Guanlong Bao, Hasi Wulan and Kehe Zhu Shantou University, epartment of Mathematics

More information

Reminder Notes for the Course on Distribution Theory

Reminder Notes for the Course on Distribution Theory Reminder Notes for the Course on Distribution Theory T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie March

More information

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms (February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops

More information

MA651 Topology. Lecture 10. Metric Spaces.

MA651 Topology. Lecture 10. Metric Spaces. MA65 Topology. Lecture 0. Metric Spaces. This text is based on the following books: Topology by James Dugundgji Fundamental concepts of topology by Peter O Neil Linear Algebra and Analysis by Marc Zamansky

More information

LOCAL DIRICHLET SPACES AS DE BRANGES-ROVNYAK SPACES

LOCAL DIRICHLET SPACES AS DE BRANGES-ROVNYAK SPACES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 125, Number 7, July 1997, Pages 2133 2139 S 0002-9939(97)03896-3 LOCAL DIRICHLET SPACES AS DE BRANGES-ROVNYAK SPACES DONALD SARASON (Communicated

More information

Riemann-Stieltjes Operators between Weighted Bloch and Weighted Bergman Spaces

Riemann-Stieltjes Operators between Weighted Bloch and Weighted Bergman Spaces Int. J. Contemp. Math. Sci., Vol. 2, 2007, no. 16, 759-772 Riemann-Stieltjes Operators between Weighted Bloch and Weighted Bergman Spaces Ajay K. Sharma 1 School of Applied Physics and Mathematics Shri

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES CHRISTOPHER HEIL 1. Compact Sets Definition 1.1 (Compact and Totally Bounded Sets). Let X be a metric space, and let E X be

More information

MATH 566 LECTURE NOTES 6: NORMAL FAMILIES AND THE THEOREMS OF PICARD

MATH 566 LECTURE NOTES 6: NORMAL FAMILIES AND THE THEOREMS OF PICARD MATH 566 LECTURE NOTES 6: NORMAL FAMILIES AND THE THEOREMS OF PICARD TSOGTGEREL GANTUMUR 1. Introduction Suppose that we want to solve the equation f(z) = β where f is a nonconstant entire function and

More information