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Research article

Essential norm of generalized Hilbert matrix from Bloch type spaces to BMOA and Bloch space

  • Received: 09 November 2020 Accepted: 06 January 2021 Published: 18 January 2021
  • MSC : 47B38, 30H30

  • Let μ be a positive Borel measure on the interval [0,1). The Hankel matrix Hμ=(μn+k)n,k0 with entries μn,k=μn+k induces the operator Hμ(f)(z)=n=0(k=0μn,kak)zn on the space of all analytic functions f(z)=n=0anzn in the unit disk D. In this paper, we characterize the boundedness and compactness of Hμ from Bloch type spaces to the BMOA and the Bloch space. Moreover we obtain the essential norm of Hμ from Bα to B and BMOA.

    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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  • Let μ be a positive Borel measure on the interval [0,1). The Hankel matrix Hμ=(μn+k)n,k0 with entries μn,k=μn+k induces the operator Hμ(f)(z)=n=0(k=0μn,kak)zn on the space of all analytic functions f(z)=n=0anzn in the unit disk D. In this paper, we characterize the boundedness and compactness of Hμ from Bloch type spaces to the BMOA and the Bloch space. Moreover we obtain the essential norm of Hμ from Bα to B and BMOA.


    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 fH(D) and

    fBMOA=|f(0)|+supaDfφaf(a)H2<,

    we say that fBMOA. Here φa(z)=az1ˉaz,aD, 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 fH(D) is said to belong to the Bloch type space (or called the αBloch space), denoted by Bα, if

    fBα=supzD|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)|+fBα. See [21] for the theory of Bloch type spaces.

    For a subarc ID, let S(I) be the Carleson box based on I with

    S(I)={zD:1|I||z|<1  and z|z|I}.

    Here |I|=(2π)1I|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 sCarleson measure on D if (see [7])

    μ=supIDμ(S(I))|I|s<.

    We say that a positive Borel measure μ is a vanishing sCarleson measure on D if

    lim|I|0μ(S(I))|I|s=0.

    Here and henceforth supID 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 fHp(0<p<),

    D|f(z)|pdμ(z)fpHp

    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(1t)s.

    A vanishing sCarleson 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,k0 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:

    ank=0μn,kak,n=0,1,2,.

    More precisely, if f(z)=k=0akzkH(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)1tzdμ(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,k0, 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, TXYe=inf{TK:K is compact}, where is the operator norm. It is easy to see that TXYe=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 fBα are bounded. If α>1, then fBα if and only if there exists some constant C such that

    |f(z)|C(1|z|2)α1.

    The following lemma can be found in [18] (see Corollary 3.3.1 in [18]).

    Lemma 2.2. If an0, then f(z)=n=0anznB 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)=1Bα. Then

    Hμ(f)(z)=n=0(k=0μn,kak)zn=n=0μn,0znB.

    Note that μn,0 is positive and decreasing. For any 0<λ<1, we choose n such that 11nλ<11n+1. Lemma 2.2 gives that

    >nμn,0=n10tndμ(t)nλn1λdμ(t)μ([λ,1))e(1λ).

    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 fBα by Proposition 1 in [9]. Moreover, Hμ(f)=Iμ(f) for any fBα.

    For any given fBα,

    [0,1)|f(t)|dμ(t)fBα[0,1)dμ(t)<.

    Then we have

    2π0[0.1)|f(t)g(eiθ)1rteiθ|dμ(t)dθ<

    for any fBα,gH1 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 fBα and gH1. 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)|fBα[0.1)|g(rt)|dμ(t)μfBα2π0|g(reiθ)|dθμfBαgH1.

    We obtain Hμ(f)=Iμ(f)BMOA for any fBα 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 fBα,0<α<1. Let {fn} be any sequence with supnfnBα1 and limnfn(z)=0 on any compact subset of D. Then we have supzD|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)|μgH1.

    Then

    limn2π0Iμ(fn)(reiθ)¯g(eiθ)dθ=0.

    This prove that limnHμ(fn)=limnIμ(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

    HμBαBe=HμBαBMOAe=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)(1t)1αdμ(t)<.

    (2) For any given fBα, the integral in (1.1) converges for all zD 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)CfBα[0,1)(1t2)1αdμ(t)CfBα. (3.1)

    This implies that

    [0,1)|f(t)||1tz|dμ(t)CfBα1|z|

    for any fBα and zD. By (3.1) we have

    supn0|[0,1)tnf(t)dμ(t)|<. (3.2)

    (3.2) and Fubini's Theorem give that the integral [0,1)f(t)1tzdμ(t) converges absolutely for any fixed zD. Then we have

    [0,1)f(t)1tzdμ(t)=n=0([0,1)tnf(t)dμ(t))zn,zD.

    Hence Iμ(f) is a well defined analytic function in D and

    Iμ(f)(z)=n=0([0,1)tnf(t)dμ(t))zn,zD.

    (2)(1). Let f(z)=(1z)1α. Then f belongs to Bα. So Iμ(f) is well defined for every zD. In particular,

    Iμ(f)(0)=[0,1)(1t)1αdμ(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)=(1t)1αdμ(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)(1t) and dμ(t)=(1t)α1dv(t). We have

    μ([t,1))=1t(1s)α1dv(s)(1t)α11tdv(s)(1t)α.

    (1)(2) Note that μ([t,1))(1t)α. Integrating by parts, we obtain

    v([t,1))=1t(1s)1αdμ(s)=(1t)1αμ([t,1))+(α1)1t(1s)αμ([s,1))ds(1t)+(α1)1tds(1t).

    The proof is complete.

    Lemma 3.3. Let f(z)=n=0anznBα for any α>0. Then

    supn2n+1k=2n+1|akkα1|2<Cf2Bα. (3.3)

    Proof. For any 0<r<1 and f(z)=k=0akzkBα, we have

    (1r)2α2π0|f(reiθ)|2dθf2Bα.

    This gives that

    k=1k2|ak|2r2kf2Bα(1r)2α.

    Choosing r=12n for any fixed n, we obtain

    2n+1k=2n+1k2|ak|2(12n)2kf2Bα22αn. (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=0l(2,), we have n=0|λnan|C{an}l(2,). l(2,) consists all the sequences {bk}k=0 for which

    {(2n+1k=2n+1|bk|2)1/2}n=0l.

    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+1k=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)=1λ2(1λz)α=k=0ak,λzn, (3.5)

    where ak,λ=O((1r2)kα1λk). It is easy to see that fλBα. Then

    Hμ(f)(z)=n=0(k=0μn,kak)znB.

    Lemma 2.2 gives that

    >supnnk=0μn,kak,λ=supnn(1λ2)k=0kα1λk10tn+kdμ(t)supnn(1λ2)k=0kα1λk1λtn+kdμ(t)supnn(1λ2)λnμ([λ,1))k=0kα1λ2k=supnnλn1λ2(1λ2)αμ([λ,1)).

    We choose n such that 11nλ<11n+1. We have

    >1e(1λ2)αμ([λ,1)). (3.6)

    So μ is an αCarleson measure.

    (1)(3). Assume that the condition (1) holds. Lemma 3.1 shows that Iμ(f) is analytic on D. Let f(z)=n=0anznBα. By Lemma 3.3 we have that the sequence {ak/kα1}l(2,). Since μ is an α-Carleson measure, we have μkCkα by Lemma 2.7 in [11]. There exists a constant C such that

    n=1(2n+1k=2n+1(μkkα1)2)1/2n=1(2n+1k=2n+11k2)1/2n=112n/2<.

    This shows that the sequence {μkkα1} 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=0anznBα for α>1, we have

    k=1|μn+kak|k=1|μkak|k=1μkk1α|ak|kα1Csupn(2n+11k=2n|ak|2k2(α1))1/2<CfBα.

    This implies that Hμ(f)(z) is well defined for all zD 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=0aktk1tzdμ(t)=Iμ(f)(z).

    Note that |f(t)|(1t)1α 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)|fBα[0.1)|g(rt)|(1t)1αdμ(t)μfBα2π0|g(reiθ)|dθμfBαgH1.

    We obtain Hμ(f)=Iμ(f)BMOA by Fefferman's duality Theorem for any fBα. 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:BαB is compact. Let fλ be defined by (3.5). Then {fλ} is a bounded sequence in Bα and limr1fλ(z)=0 on any compact subset of D. Then we have

    limλ1Hμ(fλ)Bα=0.

    The proof of Theorem 3.5 gives that

    Hμ(fλn)Bαμ([λ,1))e(1λ2)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 fBα and gH1. Let {fn} be any sequence with supnfnBα1 and limnfn(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)=(1t)1αdμ(t). We obtain

    [r,1)|fn(t)g(rt)|dμ(t)[0,1)|g(rt)|dvr(t)<vvrgH1, (3.8)

    where dvr(t)=χ0<t<rdv(t). It is well known that v is a vanishing Carleson measure if and only if

    vvr0,r1.

    See p. 283 of [22]. Combining (3.7) and (3.8), then

    limn(limr1[0,1)|fn(t)g(rt)|dμ(t))=0.

    This prove that limnHμ(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

    HμBαBeHμBαBMOAelim supr1μ([r,1))(1r)α. (3.9)

    Proof. For any fBα, we have

    Hμ(f)BαBHμ(f)BαBMOA.

    This gives that

    HμBαBeHμBαBMOAe.

    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 αCarleson measure by Theorem 3.5. For any 0<r<1, the positive measure μr is defined by

    μr(t)={μ(t),0tr,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

    HμHμrBαBMOA=inffBα=1Hμμr(f)BMOA. (3.11)

    By (2.1) we have

    |2π0Hμμr(f)(reiθ)¯g(eiθ)dθ|[0.1)|¯g(rt)|(1t)1αd(μμr)(t)vvrgH1,

    for any gH1, where dv(t)=(1t)1αdμ(t) and dvr(t)=(1t)1αdμr(t). The above estimate gives

    HμBαBMOAelim supr1μ([r,1))(1r)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 fλBα. Since fλ0 weakly in Bα, we have that Kfλ0 as λ1 for any compact operator K on Bα. Moreover

    HμKBαB(HμK)fλBHμfλBKfλB.

    By the proof of Theorem 3.5 we have

    Hμ(fλ)Bsupnnk=0μn,kak,λsupnnrn1λ2(1rλ)αμ([r,1)).

    Let r=λ and we choose n such that 11n+1λ<11n. We have

    Hμ(fλ)B>1e(1λ2)αμ([λ,1)). (3.12)

    Then

    HμBαBelim supλ1HμfλBlim supr1μ([r,1))(1r)α.

    The proof is complete.

    The reader can refer to [11,12] for the results of Hμ:BBMOA and Hμ:BB. 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)=loge1tdμ(t)

    Then the following statements are equivalent.

    (1) v is a Carleson measure.

    (2) μ is a 1logarithmic 1Carleson 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 1logarithmic 1Carleson 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 1logarithmic 1Carleson measure on [0,1). Then

    HμBBeHμBBMOAelim supr1μ([r,1))loge1r1r. (4.1)

    Proof. For any fB, we have

    Hμ(f)BBHμ(f)BBMOA.

    This gives that

    HμBBeHμBBMOAe.

    We now give the upper estimate of Hμ from B to BMOA. Since μ is an 1logarithmic 1Carleson 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 1logarithmic 1Carleson measure. We have that Hμr is compact from B to BMOA by Lemma 4.2. Then

    HμBBMOAeHμHμrBBMOA=inffB=1Hμμr(f)BMOA. (4.2)

    By (2.1) we have

    |2π0Hμμr(f)(reiθ)¯g(eiθ)dθ|[0.1)|f(t)¯g(rt)|d(μμr)(t)[0.1)|¯g(rt)|loge1td(μμr)(t)vvrgH1,

    where dv(t)=loge1tdμ(t) and dvr(t)=loge1tdμr(t). The positive measure vvr is a Carleson measure by Lemma 4.1. The above estimate gives

    HμBBMOAelim supλ1μ([λ,1))loge1λ1λ.

    We will give the lower estimate for Hμ. Let 0<λ<1 and

    fλ(z)=βλlog2e1λz, (4.3)

    where βλ=log1e1λ2. Then {fλ} is a bounded sequence in B and limλ1fλ(z)=0 on any compact subset of D. Since fλ0 weakly in B, we have that Kfλ0 as λ1 for any compact operator K on B. Moreover

    HμKBB(HμK)fλBHμfλBKfλB.

    Note that Hμ(fλ)=Iμ(fλ). We have

    Hμ(fλ)B(1λ2)|(Iμ(fλ))(λ)|(1λ2)1λfλ(t)(1tλ)2dμ(t)loge1λ2μ([λ,1))1λ2.

    The above estimate shows that

    HμKBBelim supλ1HμfλBlim supλ1μ([λ,1))loge1λ1λ.

    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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