Citation: Songxiao Li, Jizhen Zhou. Essential norm of generalized Hilbert matrix from Bloch type spaces to BMOA and Bloch space[J]. AIMS Mathematics, 2021, 6(4): 3305-3318. doi: 10.3934/math.2021198
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Denote by H(D) the space of all analytic functions on the unit disk D={z:|z|<1} in the complex plane. For 0<p≤∞, we let Hp denote the classical Hardy space. If f∈H(D) and
‖f‖BMOA=|f(0)|+supa∈D‖f∘φa−f(a)‖H2<∞, |
we say that f∈BMOA. Here φa(z)=a−z1−ˉaz,a∈D, is a Möbius transformation of D. Fefferman's duality theorem says that BMOA=(H1)∗. We refer to [10] about the theory of BMOA.
Let 0<α<∞. An f∈H(D) is said to belong to the Bloch type space (or called the α−Bloch space), denoted by Bα, if
‖f‖Bα=supz∈D|f′(z)|(1−|z|2)α<∞. |
The classical Bloch space B is just B1. It is clear that Bα is a Banach space with the norm ‖f‖=|f(0)|+‖f‖Bα. See [21] for the theory of Bloch type spaces.
For a subarc I⊂∂D, let S(I) be the Carleson box based on I with
S(I)={z∈D:1−|I|≤|z|<1 and z|z|∈I}. |
Here |I|=(2π)−1∫I|dξ| is the normalized length of the arc I. If I=∂D, let S(I)=D. For 0<s<∞, we say that a positive Borel measure μ is an s−Carleson measure on D if (see [7])
‖μ‖=supI⊂∂Dμ(S(I))|I|s<∞. |
We say that a positive Borel measure μ is a vanishing s−Carleson measure on D if
lim|I|→0μ(S(I))|I|s=0. |
Here and henceforth supI⊂∂D indicates the supremum taken over all subarcs I of ∂D. When s=1, μ is called a Carleson measure on D. It is well known that, for any f∈Hp(0<p<∞),
∫D|f(z)|pdμ(z)≤‖f‖pHp |
if and only if μ is a Carleson measure. See, for example, [8].
A positive Borel measure μ on [0,1) can be seen as a Borel measure on D by identifying it with measure ˜μ defined by
˜μ(E)=μ(E∩[0,1)) |
for any Borel subset E of D. Then a positive Borel measure μ on [0, 1) is an s-Carleson measure if there exists a constant C>0 such that (see [11])
μ([t,1))≤C(1−t)s. |
A vanishing s−Carleson measure on [0,1) can be defined similarly.
Let μ be a finite positive measure on [0,1) and n=0,1,2,⋯. Denote μn the moment of order n of μ, that is, μn=∫[0,1)tndμ(t). Let Hμ be the Hankel matrix (μn,k)n,k≥0 with entries μn,k=μn+k. The matrix Hμ induces an operator, denoted also by Hμ, on H(D) by its action on the Taylor coefficient:
an→∞∑k=0μn,kak,n=0,1,2,⋯. |
More precisely, if f(z)=∑∞k=0akzk∈H(D), then
Hμ(f)(z)=∞∑n=0(∞∑k=0μn,kak)zn, |
whenever the right hand side makes sense and defines an analytic function in D.
As in [9], to obtain an integral representation of Hμ, we write
Iμ(f)(z)=∫[0,1)f(t)1−tzdμ(t), | (1.1) |
whenever the right hand side makes sense and defines an analytic function in D.
If μ is the Lebesgue measure on [0,1), then the matrix Hμ is just the classical Hilbert matrix H=(1n+k+1)n,k≥0, which induces the classical Hilbert operator H. The Hilbert operator H was studied in [1,2,4,5,6,14]. A generalized Hilbert operator was studied in [11,12,14,15].
The operator Hμ acting on analytic functions spaces has been studied by many authors. Galanopoulos and Peláez [9] obtained a characterization that Hμ is bounded or compact on H1. Chatzifountas, Girela and Peláez [3] described the measure μ for which Hμ is bounded (compact) operator from Hp into Hq,0<p,q<∞. See [13] about the Hankel matrix acting on the Dirichlet space.
Let X and Y be two Banach spaces. The essential norm of a continuous linear operator T between normed linear spaces X and Y is the distance to the set of compact operators K, that is, ‖T‖X→Ye=inf{‖T−K‖:K is compact}, where ‖⋅‖ is the operator norm. It is easy to see that ‖T‖X→Ye=0 if and only if T is compact. See [16,19] for the study of essential norm of some operators.
In [11,12], Girela and Merchán studied the operator Hμ acting on spaces of analytic functions on D such as the Bloch space, BMOA, the Besov space and Hardy spaces. The paper generalizes some results of [11]. Moreover we also characterize the essential norm of Hμ from Bα to B and BMOA. We first acknowledge that the proof of part result are suggested by the technique of [11].
In this paper, C denotes a constant which may be different in each case.
In this section, we characterize the boundedness of Hμ from Bα into the BMOA and the Bloch space when 0<α<1. For this purpose, we need some auxiliary results.
Lemma 2.1. [21] If 0<α<1, then f∈Bα are bounded. If α>1, then f∈Bα if and only if there exists some constant C such that
|f(z)|≤C(1−|z|2)α−1. |
The following lemma can be found in [18] (see Corollary 3.3.1 in [18]).
Lemma 2.2. If an↓0, then f(z)=∑∞n=0anzn∈B if and only if supnnan<∞.
Theorem 2.3. Let μ be a positive measure on [0,1) and 0<α<1. Then the following statements are equivalent.
(1) The operator Hμ is bounded from Bα into B.
(2) The operator Hμ is compact from Bα into B.
(3) The operator Hμ is bounded from Bα into BMOA.
(4) The operator Hμ is compact from Bα into BMOA.
(5) The measure μ is a Carleson measure.
Proof. (1)⇒ (5). Assume that the operator Hμ is bounded from Bα into B. Let f(z)=1∈Bα. Then
Hμ(f)(z)=∞∑n=0(∞∑k=0μn,kak)zn=∞∑n=0μn,0zn∈B. |
Note that μn,0 is positive and decreasing. For any 0<λ<1, we choose n such that 1−1n≤λ<1−1n+1. Lemma 2.2 gives that
∞>nμn,0=n∫10tndμ(t)≥nλn∫1λdμ(t)≥μ([λ,1))e(1−λ). |
The above estimate gives that μ is a Carleson measure.
(5)⇒(3). Assume that μ is a Carleson measure. Lemma 2.1 implies that Bα is a subspace of H1 for 0<α<1. Then Hμ(f) is an analytic function for any f∈Bα by Proposition 1 in [9]. Moreover, Hμ(f)=Iμ(f) for any f∈Bα.
For any given f∈Bα,
∫[0,1)|f(t)|dμ(t)≤‖f‖Bα∫[0,1)dμ(t)<∞. |
Then we have
∫2π0∫[0.1)|f(t)g(eiθ)1−rteiθ|dμ(t)dθ<∞ |
for any f∈Bα,g∈H1 and 0<r<1. It is easy to obtain that
∫2π0Iμ(f)(reiθ)¯g(eiθ)dθ=∫[0.1)f(t)¯g(rt)dμ(t) | (2.1) |
whenever f∈Bα and g∈H1. The reader can refer to the proof of Theorem 2.2 in [11]. Using (2.1), we have
|∫2π0Iμ(f)(reiθ)¯g(eiθ)dθ|=|∫[0.1)f(t)¯g(rt)dμ(t)|≤‖f‖Bα∫[0.1)|g(rt)|dμ(t)≤‖μ‖‖f‖Bα∫2π0|g(reiθ)|dθ≤‖μ‖‖f‖Bα‖g‖H1. |
We obtain Hμ(f)=Iμ(f)∈BMOA for any f∈Bα by Fefferman's duality Theorem.
(5)⇒(4). Assume that μ is a Carleson measure. Then Hμ is bounded from Bα to BMOA and Hμ(f)=Iμ(f) for any f∈Bα,0<α<1. Let {fn} be any sequence with supn‖fn‖Bα≤1 and limn→∞fn(z)=0 on any compact subset of D. Then we have supz∈D|fn(z)|→0 as n→∞ by Lemma 3.2 in [20]. Applying (2.1) again, we have
|∫2π0Iμ(fn)(reiθ)¯g(eiθ)dθ|=|∫[0.1)fn(t)¯g(rt)dμ(t)|≤sup0<t<1|fn(t)|∫[0.1)|g(rt)|dμ(t)≤sup0<t<1|fn(t)|‖μ‖‖g‖H1. |
Then
limn→∞∫2π0Iμ(fn)(reiθ)¯g(eiθ)dθ=0. |
This prove that limn→∞Hμ(fn)=limn→∞Iμ(fn)=0. So Hμ is compact.
The other cases are trivial. The proof is complete.
Corollary 2.4. Let μ be a positive Borel measure on [0,1). If Hμ is bounded from Bα to B for any 0<α<1, then
‖Hμ‖Bα→Be=‖Hμ‖Bα→BMOAe=0. |
In this section, we will give the essential norm of the operator Hμ from Bα to BMOA and B when α>1. The following lemma will be needed in the proof of the main results.
Lemma 3.1. Let μ be a positive Borel measure on [0,1) and α>1. Then the following conditions are equivalent.
(1) ∫[0,1)(1−t)1−αdμ(t)<∞.
(2) For any given f∈Bα, the integral in (1.1) converges for all z∈D and the resulting function Iμ(f) is analytic on D.
Proof. (1)⇒(2). We assume that (1) holds. Lemma 2.1 gives
∫[0,1)|f(t)|dμ(t)≤C‖f‖Bα∫[0,1)(1−t2)1−αdμ(t)≤C‖f‖Bα. | (3.1) |
This implies that
∫[0,1)|f(t)||1−tz|dμ(t)≤C‖f‖Bα1−|z| |
for any f∈Bα and z∈D. By (3.1) we have
supn≥0|∫[0,1)tnf(t)dμ(t)|<∞. | (3.2) |
(3.2) and Fubini's Theorem give that the integral ∫[0,1)f(t)1−tzdμ(t) converges absolutely for any fixed z∈D. Then we have
∫[0,1)f(t)1−tzdμ(t)=∞∑n=0(∫[0,1)tnf(t)dμ(t))zn,z∈D. |
Hence Iμ(f) is a well defined analytic function in D and
Iμ(f)(z)=∞∑n=0(∫[0,1)tnf(t)dμ(t))zn,z∈D. |
(2)⇒(1). Let f(z)=(1−z)1−α. Then f belongs to Bα. So Iμ(f) is well defined for every z∈D. In particular,
Iμ(f)(0)=∫[0,1)(1−t)1−αdμ(t) |
is a complex number. Since μ is a positive Borel measure on [0,1), we get the desired result. The proof is complete.
Lemma 3.2. Let μ be a positive measure on [0,1) and α>1. Let v be the positive measure on [0,1) defined by
dv(t)=(1−t)1−αdμ(t). |
Then the following conditions are equivalent.
(1) μ is an α-Carleson measure.
(2) v is a Carleson measure.
Proof. (2)⇒(1) Note that v([t,1)≲(1−t) and dμ(t)=(1−t)α−1dv(t). We have
μ([t,1))=∫1t(1−s)α−1dv(s)≤(1−t)α−1∫1tdv(s)≲(1−t)α. |
(1)⇒(2) Note that μ([t,1))≲(1−t)α. Integrating by parts, we obtain
v([t,1))=∫1t(1−s)1−αdμ(s)=(1−t)1−αμ([t,1))+(α−1)∫1t(1−s)−αμ([s,1))ds≲(1−t)+(α−1)∫1tds≲(1−t). |
The proof is complete.
Lemma 3.3. Let f(z)=∑∞n=0anzn∈Bα for any α>0. Then
supn2n+1∑k=2n+1|akkα−1|2<C‖f‖2Bα. | (3.3) |
Proof. For any 0<r<1 and f(z)=∑∞k=0akzk∈Bα, we have
(1−r)2α∫2π0|f′(reiθ)|2dθ≤‖f‖2Bα. |
This gives that
∞∑k=1k2|ak|2r2k≤‖f‖2Bα(1−r)−2α. |
Choosing r=1−2−n for any fixed n, we obtain
2n+1∑k=2n+1k2|ak|2(1−2−n)2k≤‖f‖2Bα22αn. | (3.4) |
Then (3.3) follows by (3.4).
A complex sequence {λn}∞n=0 is a multiplier from l(2,∞) to l1 if and only if there exists a positive constant C such that whenever {an}∞n=0∈l(2,∞), we have ∑∞n=0|λnan|≤C‖{an}‖l(2,∞). l(2,∞) consists all the sequences {bk}∞k=0 for which
{(2n+1∑k=2n+1|bk|2)1/2}∞n=0∈l∞. |
The following result can be found in [17].
Lemma 3.4. A complex sequence {λn}∞n=0 is a multiplier from l(2,∞) to l1 if and only if
∞∑n=1(2n+1∑k=2n+1|λk|2)1/2<∞. |
Theorem 3.5. Let μ be a positive measure on [0,1) and α>1. Then the following statements are equivalent.
(1) The measure μ is an α-Carleson measure.
(2) The operator Hμ is bounded from Bα into B.
(3) The operator Hμ is bounded from Bα into BMOA.
Proof. (3)⇒ (2). It is trivial.
(2)⇒(1). We suppose that Hμ is bounded from Bα into B for α>1. For any 0<λ<1, let
fλ(z)=1−λ2(1−λz)α=∞∑k=0ak,λzn, | (3.5) |
where ak,λ=O((1−r2)kα−1λk). It is easy to see that fλ∈Bα. Then
Hμ(f)(z)=∞∑n=0(∞∑k=0μn,kak)zn∈B. |
Lemma 2.2 gives that
∞>supnn∞∑k=0μn,kak,λ=supnn(1−λ2)∞∑k=0kα−1λk∫10tn+kdμ(t)≥supnn(1−λ2)∞∑k=0kα−1λk∫1λtn+kdμ(t)≥supnn(1−λ2)λnμ([λ,1))∞∑k=0kα−1λ2k=supnnλn1−λ2(1−λ2)αμ([λ,1)). |
We choose n such that 1−1n≤λ<1−1n+1. We have
∞>1e(1−λ2)αμ([λ,1)). | (3.6) |
So μ is an α−Carleson measure.
(1)⇒(3). Assume that the condition (1) holds. Lemma 3.1 shows that Iμ(f) is analytic on D. Let f(z)=∑∞n=0anzn∈Bα. By Lemma 3.3 we have that the sequence {ak/kα−1}∈l(2,∞). Since μ is an α-Carleson measure, we have μk≤Ckα by Lemma 2.7 in [11]. There exists a constant C such that
∞∑n=1(2n+1∑k=2n+1(μkkα−1)2)1/2≲∞∑n=1(2n+1∑k=2n+11k2)1/2≲∞∑n=112n/2<∞. |
This shows that the sequence {μkkα−1} is a multiplier from l(2,∞) to l1 by Lemma 3.4. Note that {μn}∞n=1 is a decreasing sequence of positive numbers. Given any f(z)=∑∞n=0anzn∈Bα for α>1, we have
∞∑k=1|μn+kak|≤∞∑k=1|μkak|≤∞∑k=1μkk1−α|ak|kα−1≤Csupn(2n+1−1∑k=2n|ak|2k2(α−1))1/2<C‖f‖Bα. |
This implies that Hμ(f)(z) is well defined for all z∈D and Hμ(f) is an analytic function in D. Applying Fubini's Theorem, we get
Hμ(f)(z)=∞∑n=0(∞∑k=0μn+kak)zn=∞∑k=0ak(∞∑n=0μn+kzn)=∞∑k=0ak(∞∑n=0∫[0,1)tn+kzndμ(t))=∞∑k=0∫[0,1)(∞∑n=0tnzn)aktkdμ(t)=∫[0,1)∞∑k=0aktk1−tzdμ(t)=Iμ(f)(z). |
Note that |f(t)|≲(1−t)1−α by Lemma 2.1. Applying (2.1) and Lemma 3.2, we have
|∫2π0Iμ(f)(reiθ)¯g(eiθ)dθ|=|∫[0.1)f(t)¯g(rt)dμ(t)|≤‖f‖Bα∫[0.1)|g(rt)|(1−t)1−αdμ(t)≤‖μ‖‖f‖Bα∫2π0|g(reiθ)|dθ≤‖μ‖‖f‖Bα‖g‖H1. |
We obtain Hμ(f)=Iμ(f)∈BMOA by Fefferman's duality Theorem for any f∈Bα. The proof is complete.
Theorem 3.6. Let μ be a positive measure on [0,1) and α>1. Then the following statements are equivalent.
(1) The measure μ is a vanishing α-Carleson measure.
(2) The operator Hμ is compact from Bα spaces into B.
(3) The operator Hμ is compact from Bα spaces into BMOA.
Proof. (3)⇒(2). It is trivial.
(2)⇒(1). Suppose that Hμ:Bα→B is compact. Let fλ be defined by (3.5). Then {fλ} is a bounded sequence in Bα and limr→1fλ(z)=0 on any compact subset of D. Then we have
limλ→1‖Hμ(fλ)‖Bα=0. |
The proof of Theorem 3.5 gives that
‖Hμ(fλn)‖Bα≥μ([λ,1))e(1−λ2)α. |
Consequently, μ is a vanishing α-Carleson measure.
(1)⇒(3). Assume that μ is a vanishing α-Carleson measure. The proof of the sufficiency for the boundedness gives that Hμ(f)=Iμ(f) and
|∫2π0Hμ(f)(eiθ)¯g(reiθ)dθ|≤∫[0.1)|f(t)g(rt)|dμ(t) |
for all f∈Bα and g∈H1. Let {fn} be any sequence with supn‖fn‖Bα≤1 and limn→∞fn(z)=0 on any compact subset of D. Then we have
limn→∞∫[0,r)|fn(t)g(rt)|dμ(t)=0. | (3.7) |
Since v is a vanishing Carleson measure, where v is defined by dv(t)=(1−t)1−αdμ(t). We obtain
∫[r,1)|fn(t)g(rt)|dμ(t)≤∫[0,1)|g(rt)|dvr(t)<‖v−vr‖‖g‖H1, | (3.8) |
where dvr(t)=χ0<t<rdv(t). It is well known that v is a vanishing Carleson measure if and only if
‖v−vr‖→0,r→1. |
See p. 283 of [22]. Combining (3.7) and (3.8), then
limn→∞(limr→1∫[0,1)|fn(t)g(rt)|dμ(t))=0. |
This prove that limn→∞Hμ(fn)=0. So Hμ is compact. The proof is complete.
Theorem 3.7. Let μ be a positive measure on [0,1). If Hμ is bounded from Bα to B for any α>1, then
‖Hμ‖Bα→Be≈‖Hμ‖Bα→BMOAe≈lim supr→1−μ([r,1))(1−r)α. | (3.9) |
Proof. For any f∈Bα, we have
‖Hμ(f)‖Bα→B≲‖Hμ(f)‖Bα→BMOA. |
This gives that
‖Hμ‖Bα→Be≲‖Hμ‖Bα→BMOAe. |
We now give the upper estimate of Hμ from Bα to BMOA. Since Hμ is bounded from Bα to B, then the operator Hμ from Bα to BMOA is bounded and μ is an α−Carleson measure by Theorem 3.5. For any 0<r<1, the positive measure μr is defined by
μr(t)={μ(t),0≤t≤r,0,r<t<1. | (3.10) |
It is easy to check that μr is a vanishing α-Carleson measure. We have that Hμr is compact from Bα to BMOA by Theorem 3.6. Then
‖Hμ−Hμr‖Bα→BMOA=inf‖f‖Bα=1‖Hμ−μr(f)‖BMOA. | (3.11) |
By (2.1) we have
|∫2π0Hμ−μr(f)(reiθ)¯g(eiθ)dθ|≤∫[0.1)|¯g(rt)|(1−t)1−αd(μ−μr)(t)≤‖v−vr‖‖g‖H1, |
for any g∈H1, where dv(t)=(1−t)1−αdμ(t) and dvr(t)=(1−t)1−αdμr(t). The above estimate gives
‖Hμ‖Bα→BMOAe≲lim supr→1−μ([r,1))(1−r)α. |
We now give the lower estimate of Hμ from Bα to B. For any 0<λ<1, let fλ be defined by (3.5). Then fλ∈Bα. Since fλ→0 weakly in Bα, we have that ‖Kfλ‖→0 as λ→1 for any compact operator K on Bα. Moreover
‖Hμ−K‖Bα→B≥‖(Hμ−K)fλ‖B≥‖Hμfλ‖B−‖Kfλ‖B. |
By the proof of Theorem 3.5 we have
‖Hμ(fλ)‖B≥supnn∞∑k=0μn,kak,λ≥supnnrn1−λ2(1−rλ)αμ([r,1)). |
Let r=λ and we choose n such that 1−1n+1≤λ<1−1n. We have
‖Hμ(fλ)‖B>1e(1−λ2)αμ([λ,1)). | (3.12) |
Then
‖Hμ‖Bα→Be≥lim supλ→1−‖Hμfλ‖B≳lim supr→1−μ([r,1))(1−r)α. |
The proof is complete.
The reader can refer to [11,12] for the results of Hμ:B→BMOA and Hμ:B→B. In this section, we characterize the essential of norm of Hμ on B. The following results will be needed in the proof of the main result.
Lemma 4.1. [11] Let μ be a positive Borel measure on [0,1). Let v be the Borel measure on [0,1) defined by
dv(t)=loge1−tdμ(t) |
Then the following statements are equivalent.
(1) v is a Carleson measure.
(2) μ is a 1−logarithmic 1−Carleson measure.
Lemma 4.2. [11] Let μ be a positive Borel measure on [0,1). Then the following statements are equivalent.
(1) The measure μ is a vanishing 1−logarithmic 1−Carleson measure.
(2) The operator Hμ is compact on B.
(3) The operator Hμ is compact from B to BMOA.
Theorem 4.3. Let μ be an 1−logarithmic 1−Carleson measure on [0,1). Then
‖Hμ‖B→Be≈‖Hμ‖B→BMOAe≈lim supr→1−μ([r,1))loge1−r1−r. | (4.1) |
Proof. For any f∈B, we have
‖Hμ(f)‖B→B≲‖Hμ(f)‖B→BMOA. |
This gives that
‖Hμ‖B→Be≲‖Hμ‖B→BMOAe. |
We now give the upper estimate of Hμ from B to BMOA. Since μ is an 1−logarithmic 1−Carleson measure on [0,1), the operator Hμ from B to BMOA is bounded by Theorem 2.8 of [11]. For any 0<r<1, let the positive measure μr defined by (3.10). It is easy to check that μr is a vanishing 1−logarithmic 1−Carleson measure. We have that Hμr is compact from B to BMOA by Lemma 4.2. Then
‖Hμ‖B→BMOAe≤‖Hμ−Hμr‖B→BMOA=inf‖f‖B=1‖Hμ−μr(f)‖BMOA. | (4.2) |
By (2.1) we have
|∫2π0Hμ−μr(f)(reiθ)¯g(eiθ)dθ|≤∫[0.1)|f(t)¯g(rt)|d(μ−μr)(t)≤∫[0.1)|¯g(rt)|loge1−td(μ−μr)(t)≲‖v−vr‖‖g‖H1, |
where dv(t)=loge1−tdμ(t) and dvr(t)=loge1−tdμr(t). The positive measure v−vr is a Carleson measure by Lemma 4.1. The above estimate gives
‖Hμ‖B→BMOAe≲lim supλ→1−μ([λ,1))loge1−λ1−λ. |
We will give the lower estimate for Hμ. Let 0<λ<1 and
fλ(z)=βλlog2e1−λz, | (4.3) |
where βλ=log−1e1−λ2. Then {fλ} is a bounded sequence in B and limλ→1−fλ(z)=0 on any compact subset of D. Since fλ→0 weakly in B, we have that ‖Kfλ‖→0 as λ→1 for any compact operator K on B. Moreover
‖Hμ−K‖B→B≥‖(Hμ−K)fλ‖B≥‖Hμfλ‖B−‖Kfλ‖B. |
Note that Hμ(fλ)=Iμ(fλ). We have
‖Hμ(fλ)‖B≥(1−λ2)|(Iμ(fλ))′(λ)|≥(1−λ2)∫1λfλ(t)(1−tλ)2dμ(t)≥loge1−λ2μ([λ,1))1−λ2. |
The above estimate shows that
‖Hμ−K‖B→Be≥lim supλ→1−‖Hμfλ‖B≳lim supλ→1−μ([λ,1))loge1−λ1−λ. |
The proof is complete.
The authors thank the referee for useful remarks and comments that led to the improvement of this paper. The first author was partially supported by NNSF of China (No. 11720101003).
The authors declare that they have no conflict of interest.
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