real symmetric, unitary, and complex symmetric weighted composition operators on Bergman spaces of polydisk
Abstract.
In this paper, we study weighted composition operators on Bergman spaces of analytic functions which are square integrable on polydisk. We develop the study in full generality, meaning that the corresponding weighted composition operators are not assumed to be bounded. The properties of weighted composition operators such as real symmetry, unitariness, complex symmetry, are characterized fully in simple algebraic terms, involving their symbols. As it turns out, a weighted composition operator having a symmetric structure must be bounded. We also obtain the interesting consequence that real symmetric weighted composition operators are complex symmetric corresponding an adapted and highly relevant conjugation.
Key words and phrases:
complex symmetry, weighted composition operators, Bergman spaces2010 Mathematics Subject Classification:
47B33, 47B321. Introduction
1.1. Weighted composition operators
Our primary object of study is weighted composition operators that are defined as follows. Let be a Banach space of analytic functions on some domain , where . Given functions (often called the symbols), we consider the formal expression by setting
The maximal weighted composition operator is defined as
The operator is called a non-maximal weighted composition operator if the inclusion holds. By the term bounded weighted composition operator, as it is used in the paper, is meant an operator which satisfies (i) and (ii) there exists a constant such that
Note that the phrase "unbounded" is understood as "not necessarily bounded"; in other words, bounded operators belong to the unbounded class. When , writing instead of and it is named a composition operator.
The earliest reference on weighted composition operators appears to be the Banach-Stone theorem, which states that the only surjective isometries between Banach spaces of real-valued continuous functions are precisely of this type ([29]). Leeuw et al [9] and Forelli [10] obtained the similar results for Hardy spaces. Since then, weighted composition operators have become the subject matter of intensive and extensive research on various spaces and they have made important connections to the study of other operators ([6, 30]). What makes weighted composition operators worth to study is the fact that their properties can be characterized in simple algebraic terms.
When is Hardy space of the unit disk, there is a large body of work on composition operators (see [8, 28]). It was proven long by Littlewood [23] that composition operators are always bounded. In contrast to the unweighted setting, the boundedness of weighted composition operators has not been well understood. There are many examples (see [8]) which show that weighted composition operators are not bounded. Other properties have been studied such as conditions for (weighted) composition operators to be real symmetric [7], be normal [24, 21], be unitary [21], or be invertible [15].
Considered on Fock spaces, weighted composition operators act very differently; for example, not all composition operators are bounded. Carswell, MacCluer and Schuster [4] showed that the only affine function gives rise to the boundedness. Le [22] gave a complete characterization of bounded weighted composition operators on Fock spaces. Characterizations of compactness, isometry, normality, cohyponormality, and supercyclicity have also been produced, including those of Le [22], Hai and Khoi [17], and Carroll and Gilmore [3].
1.2. Complex symmetric operators
A complex symmetric operator is an unbounded linear operator on a Hilbert space with the property that , where is an isometric involution (in short, conjugation) on . To indicate the dependence on , this case is often called -selfadjoint.
The concept of complex symmetric operators is a natural generalization of complex symmetric matrices, and their general research was commenced by Garcia, Putinar [13, 14]. The class of complex symmetric operators is of great interest for several reasons. First, it has deep classical roots in various branches of mathematics, including matrix theory, function theory, projective geometry, etc. See [13, 14, 12] for details. Second, it is large enough to cover well-known operators such as normal operators, Volterra operators, Hankel operators, compressed Toeplitz operators. More interestingly, differential operators relevant in non-hermitian quantum mechanics obeying a parity and time symmetry, so called -symmetric, belong to this class (see [2]).
Putted forward by Garcia and Hammond [11], the problem of classifying complex symmetric weighted composition operators is of interest and it is being answered in several particular contexts. Jung et al [19] considered bounded weighted composition operators on Hardy spaces and characterized those which are complex symmetric with respect to the conjugation . The works [11, 19] make a motivation to study the problem in various spaces. We refer the reader to [25, 16] for Fock space and [31] for Hardy spaces in several variables and [18] for Lebesgue spaces.
1.3. Aim
In this paper, we study weighted composition operators on Bergman spaces of analytic functions which are square integrable on polydisk. We develop the study in full generality, meaning that the corresponding weighted composition operators are not assumed to be bounded. The properties of weighted composition operators such as real symmetry, unitariness, complex symmetry, are characterized fully in simple algebraic terms, involving their symbols. As it turns out, a weighted composition operator having a symmetric structure must be bounded. We also obtain the interesting consequence that real symmetric weighted composition operators are complex symmetric corresponding an adapted and highly relevant conjugation.
2. Preparation
2.1. Notations
Before getting closer to the content, we list notations and terminologies. The domain of an operator is denoted as . When dealing with unbounded operators, the symbol means that and for . Let . Always denote
(2.1) |
Let and . For a fixed integer , the polydisk of is the Cartesian product of copies of . Bergman space consists of all analytic functions with
where denotes the normalized area measure on . The reproducing kernel in is given by
2.2. Elementary estimate
The following lemma may be well-known; but the proof is given, for a completeness of exposition.
Lemma 2.1.
Let and . Then there exists a constant such that
Consequently, if , then the function , where .
Proof.
Denote and . Setting
by the Fubini theorem, we have
which implies, by the subharmonic property of the function , that
∎
We recall a condition when a linear fractional function is a self-mapping of .
Lemma 2.2 ([5]).
Let
Then is a self-mapping of if and only if
2.3. Algebraic observations
Lemma 2.3.
Let be analytic functions, where . Suppose that for every , the product is a function of variables . Then for every the product is a function of variables .
Proof.
The lemma is proven by induction on and its proof is left to the reader. ∎
Lemma 2.4.
Let be an analytic function with the property that
(2.2) |
Then
(2.3) |
where coefficients satisfy
(2.4) | |||
(2.5) |
Proof.
It is clear that the case when verifies (2.2). Next is to consider the remaining case . Let such that . Letting in (2.2), we can observe
After integrating with respect to the variable , is of form
where are complex constants. There are two cases of the coefficient . If , then
Through setting in (2.2) and then equating coefficients, we get
If , then
It follows from , that . By way of substituting this form of back into (2.2) and then equating coefficients, we obtain
Lemma 2.5.
Let and be an analytic function with the property that
(2.6) |
Then
where coefficients satisfy
Proof.
It is clear that the case when verifies (2.6). Next is to consider the remaining case . Let such that . Letting in (2.6), we get
By way of integrating with respect to the variable , we observe is of form
where are complex constants. There are two cases of . If , then
Through setting in (2.6) and then equating coefficients, we get . Consider when and then
It follows from , that . By way of substituting this form of back into (2.6) and then equating coefficients, we obtain
Thus, the conclusion holds, where
∎
Lemma 2.6.
Let and be the function given by (2.1). If the function satisfies
(2.7) |
then either
(2.8) |
or
(2.9) |
where coefficients satisfy
(2.10) | |||
(2.11) | |||
(2.12) |
Proof.
It is clear that the case when verifies (2.7). Next is to consider the remaining case . Since , equation (2.7) is reduced to the following
(2.13) |
or equivalently to saying that
Like the arguments in Lemmas 2.5 and 2.4, is of form
(2.14) |
where are complex constants. Setting (2.1) in (2.13), we find
which implies, by (2.14), that
There are two cases.
- If
then after equating coefficients, we get
Thus, this case gives
but this is impossible as is not a self-mapping of (see Lemma 2.2). ∎
2.4. Basic properties of
The closed graph of the maximal operator is left to the reader as its proof is similar to those used in [16].
Proposition 2.7.
The maximal operator is closed.
Consequently, we get a criterion for the boundedness of the maximal operator .
Corollary 2.8.
The maximal operator is bounded if and only if .
The following lemma will be used frequently to prove the main results as it shows that kernel functions always belong to the domain of .
Lemma 2.9.
Suppose that the operator is densely defined. Then equality holds for every .
We take a while to focus on the very restrictive category of operators induced by the following functions
(2.15) |
and
(2.16) |
Proposition 2.10.
Let . Let be the maximal operator generated by . Then the operator is unitary on .
Proof.
First, we show that and for every . Indeed, for , we consider
which implies, after doing the change of variables , that
as desired. Next, by Lemma 2.9, we have
which implies, as the linear span of kernel functions is dense, that . ∎
2.5. Conjugations
Let be a partition of , that is
(2.17) |
Let and . Consider the operator
(2.18) |
where are given by
(2.19) | |||
(2.20) |
Lemma 2.11.
The operator is a conjugation and moreover it satisfies .
Proof.
For every , we consider the integral
which implies, after doing the change of variables , that . The equality shows that the operator is isometric. On one hand, we have and on the other hand, we observe . Thus, the operator is involutive. ∎
3. Real symmetry
Recall that a linear operator is called real symmetric if the equality holds. In this section, we are concerned with how the function-theoretic properties of the symbols affect the real symmetry of the corresponding weighted composition operator, and vice versa. As a consequence, we show that a real symmetric weighted composition operator must be bounded.
We start the section by a lemma which focuses on symbol computation.
Lemma 3.1.
Let and . Let be analytic functions. Suppose that
(3.1) |
Then the following conclusions hold.
-
(1)
The functions are of forms
(3.2) where coefficients satisfy
(3.3) and
(3.4) -
(2)
If the functions are given in item (1), then is bounded on .
Proof.
(1) Taking into account the form of kernel functions, (3.1) can be expressed in the following
(3.5) |
Take arbitrarily . Differentiating (3.5) with respect to the variable (i.e. taking derivative ), we obtain
(3.6) |
Equation (3.6) divided by (3.5) is equal to
(3.7) |
In particular with , we get
(3.8) |
Setting
then
and so (3.8) becomes . For that reason, is a function of variables . Since is arbitrary, by Lemma 2.3 the function must be of form in (3.2). Next, we find the function as follows.
Claim: is a function of one variable .
Indeed, after taking derivative in (3.7), the following is obtained
or equivalently to saying
(3.9) |
For every , we differentiate (3.9) with respect to the variable
(3.10) |
If there is with , then (3.9) gives
and hence by (3.10) we have
meaning that is a function of one variable . Now consider the case when . Equation (3.10) divided by (3.9) is equal to
which implies, by way of equating coefficients of , that
The claim is proven.
Suppose that for some function . Thus, (3.9) is simplified to (2.2). By Lemma 2.4, the function is of the desired form.
(2) Since the function is bounded, it is enough to show that the composition operator is bounded. Before proving this, we denote
Suppose that and are elements of , respectively; meaning
For each , we express , where and . Then and
Note that the Jacobian determinant of is
so by [20, Theorem 10], the operator is bounded and together with Lemma 2.1, we get the boundedness of the operator . ∎
With all preparation in place we give one of the main results of this section. The following theorem provides a useful criteria to determine whether a maximal weighted composition operator is real symmetric or not.
Theorem 3.2.
Proof.
The following result shows that the real symmetry cannot be separated from the maximal domain; in other words, a real symmetric weighted composition operator must be maximal.
Theorem 3.3.
Proof.
The implication is proven in Theorem 3.2 and the remaing task is to prove the implication . Indeed, since , by [26, Proposition 1.6], we have
Lemma 2.9 shows that , and so,
By Lemmas 2.9 and 3.1, conditions (3.2)-(3.4) hold, and hence, by Theorem 3.2, the operator . Using this equality, item (2) is proven as follows
∎
4. Unitary property
Recall that a bounded linear operator is called unitary if the equality holds. In this section, we describe all weighted composition operators that are unitary. The following lemma gives a partial characterization of the operator under the assumption that the symbol fixes .
Lemma 4.1.
Let and . Let be analytic functions. Suppose that
(4.1) |
If , then
(4.2) |
where
(4.3) |
Proof.
Setting in (4.1), we find , which means , where . Consequently, taking into account the explicit form of kernel functions, (4.1) is reduced to the following
(4.4) |
Let . Taking derivative , (4.4) becomes
(4.5) |
Equation (4.5) divided by (4.4) is equal to
In particular with , we get
(4.6) |
Let
and be the diagonal matrix given by
Now equation (4.6) is rewritten as , which gives , where .
Fix . Setting in (4.4), where is the -th coordinate, we obtain
(4.7) |
We continue with choosing , where is the -th coordinate, and then (4.7) is reduced to the following
Hence, since are arbitrary, coefficients verify
(4.8) |
The highest power of the left-hand side is ; meanwhile of the right-hand side is . Thus, the coefficient of in (4.8) must be ; meaning that
Denote
If , then for every ; but this is impossible as the matrix is invertible. Now consider the situation when . Setting in (4.7), where is the -th coordinate, we get
Through equating coefficients of and then using the fact that for , we have
and so
(4.9) |
Note that equation (4.8) can be rewritten in the following form
which implies, after equating coefficients of , that
Since is a self-mapping of , we have
Thus,
Claim: For every , is a singleton set.
Since are subsets of , it is enough to show that the family consists of disjoint sets. Indeed, assume in contrary that there exist with such that . Let . It follows from (4.9) that
but this is impossible as and .
With the help of Lemma 4.1, we give a complete characterization of unitary weighted composition operators.
Theorem 4.2.
Let and . Let be analytic functions. Then the operator is unitary on if and only if
(4.10) |
where coefficients satisfy (4.3) and
(4.11) |
Proof.
Note that the sufficient condition can be obtained by arguments similar to those used in Proposition 2.10. We prove the necessary condition as follows. Suppose that the operator is unitary on . Put and define
A direct computation gives and so we get
Using Proposition 2.10, we can show that the operator is unitary with . We have
The line above allows us to use Lemma 4.1 and the proof is complete. ∎
5. Complex symmetry
The section studies which the symbols give rise to weighted composition operators that are complex symmetric with respect to the conjugation . Such operators are called -symmetric. Like as the real symmetry, a -symmetric weighted composition operator must be bounded. As a byproduct, we obtain the interesting fact that real symmetric weighted composition operators are -symmetric corresponding an adapted and highly relevant selection of the parameters .
To study the necessary condition for a weighted composition operator to be -symmetric, we apply the symmetric condition to kernel functions. It turns out that the symbols generating such operators can be precisely computed.
Lemma 5.1.
Let . Let with condition (2.17) and . Let , where
Let be analytic functions. Suppose that
(5.1) |
Then the following assertions hold.
-
(1)
The functions are of forms
(5.2) where coefficients satisfy
(5.3) (5.4) (5.5) (5.6) (5.7) -
(2)
If the functions are given in item (1), then is bounded on .
Proof.
(1) Setting in (5.1), we find
Consequently, taking into account the explicit form of kernel functions, we get
(5.8) |
Let . After differentiating with respect to the variable , the equation above becomes
(5.9) |
Equation (5.9) divided by (5.8) is equal to
(5.10) |
Setting , we observe
Using the arguments similar to (3.8), the function is of form as in (5.2). Setting , (5.10) is rewritten as
(5.11) |
We differentiate (5.11) with respect to the variable , where , and then
(5.12) |
or equivalently to saying that
(5.13) |
where we denote
Claim 1: is a function of one variable .
Let . Taking derivative on both sides of (5.13) gives
(5.14) |
If there is for which , then (5.13) gives
and hence by (5.14),
meaning that is a function of one variable . Now consider the situation when . Equation (5.14) divided by (5.13) is equal to the following
which implies, after equating coefficients of , that
meaning that is a function of one variable .
Claim 2: is a function of one variable , too.
Let . We proceed into taking derivative on both sides of (5.12)
After equating coefficients of , we get
meaning that is a function of one variable . Thus, we make use of Lemma 2.5 (when ) and Lemma 2.6 (when ).
(2) The part is the same as those of Lemma 3.1(2) but we give a proof, for a completeness of exposition. Since the function is bounded, it is enough to show that the composition operator is bounded. Before proving this, we fix some symbols used. Denote
Suppose that and and are elements of , respectively; meaning
For each , we express , where and and . Then and
Note that the Jacobian determinant of is
so by [20, Theorem 10], the operator is bounded and together with Lemma 2.1, we get the boundedness of the operator . ∎
Lemma 5.1 provides a necessary condition for a weighted composition operator to be -symmetric. It turns out that the assertion in Lemma 5.1 is also a sufficient condition.
Theorem 5.2.
Proof.
Theorem 5.2 characterizes maximal weighted composition operators that are -symmetric. The following theorem proves that the maximal domain and boundedness are consequences of the -symmetry.
Theorem 5.3.
Proof.
The implication is proven in Theorem 5.2 and the remaining task is to prove the implication . Indeed, since , by [26, Proposition 1.6], we have
Lemma 2.9 shows that , and so,
By Lemmas 2.9 and 5.1, conditions (5.2)-(5.7) hold, and hence, by Theorem 5.2, the operator is -symmetric. Using this, item (2) is proven as follows
∎
Corollary 5.4.
Let and . Let be analytic functions. If the operator is real symmetric, then it is complex symmetric.
Acknowledgements
The paper was completed during a scientific stay of P.V. Hai at the Vietnam Institute for Advanced Study in Mathematics (VIASM). He would like to thank the VIASM for financial support and hospitality.
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