Interpolation for intersections of Hardy-type spaces
S. V. Kislyakov, I. K. Zlotnikov

TL;DR
This paper investigates the interpolation properties of intersections of Hardy-type spaces within a measure space, establishing conditions under which certain subspace couples are $K$-closed, with applications to classical Hardy spaces and shift operator subspaces.
Contribution
It introduces new interpolation results for intersections of Hardy-type spaces and extends previous analyses to broader algebraic settings involving $w^*$-Dirichlet algebras.
Findings
Couples of intersected spaces are $K$-closed under specific conditions.
Results unify previous cases on Hardy spaces and shift operator subspaces.
Applicable to $w^*$-Dirichlet algebra contexts.
Abstract
Let be a space with a finite measure , let and be -closed subalgebras of , and let and be closed subspaces of () that are modules over and , respectively. Under certain additional assumptions, the couple is -closed in . This statement covers, in particular, two cases analyzed previously: that of Hardy spaces on the two-dimensional torus and that of the coinvariant subspaces of the shift operator on the circle. Next, many situations when and are -Dirichlet algebras also fit in this pattern.
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Holomorphic and Operator Theory · Advanced Banach Space Theory
Interpolation for intersections of Hardy-type spaces
S. V. Kislyakov and I. K. Zlotnikov
St. Petersburg Department of V.A. Steklov
Mathematical Institute of the Russian Academy of Sciences
27 Fontanka, St. Petersburg 191023, Russia
Chebyshev Laboratory, St. Petersburg State University,
14th Line V.O., 29B, Saint Petersburg 199178 Russia
Abstract.
Let be a space with a finite measure , let and be -closed subalgebras of , and let and be closed subspaces of () that are modules over and , respectively. Under certain additional assumptions, the couple is -closed in .
This statement covers, in particular, two cases analyzed previously: that of Hardy spaces on the two-dimensional torus and that of the coinvariant subspaces of the shift operator on the circle. Next, many situations when and are -Dirichlet algebras also fit in this pattern.
Key words and phrases:
Real interpolation, uniform algebra, -Dirichlet algebra, analytic cut-off functions
1991 Mathematics Subject Classification:
Primary 30H10, 46J20; Secondary 46B70, 30H50
This research was supported by the Russian Science Foundation (grant No. 18-11-00053)
1. Introduction
Let be a compatible couple of Banach spaces, and let be closed subspaces of and , respectively. We remind the reader that the couple is said to be -closed in if, whenever with , , we also have with and , .
Obviously, this property implies that the interpolation spaces of the real method for the couple are equal to the intersection of the corresponding interpolation spaces for with the sum . So, whenever we know the interpolation spaces for the latter couple, -closedness makes interpolation for the former one quite easy. We recall (see [10] or the survey [8]) that -closedness does occur in the scale of the Hardy spaces on the unit circle (viewed as subspaces of the corresponding Lebesgue spaces), but now we are interested in the following two more complicated results (in them we assume that , though, in fact, some information beyond this condition is available).
- i)
The couple is -closed in the couple (see [5]). 2. ii)
For an inner function on the unit circle, the couple is -closed in (see [6]).
It should be noted that an analog of i) in dimensions is an open problem.
Surprisingly, the proofs of Statements i) and ii) have turned out to be quite similar, signalizing that these facts might be particular cases of a more general claim. Such a claim exists indeed and looks roughly like this. Again, here .
Theorem**.**
Let be a space with a finite measure , let and be -closed subalgebras of , and let and be closed subspaces of that are Banach modules over and , respectively. Under certain additional assumptions, the couple is -closed in .
The additional assumptions will be described below and, among other things, will require that some analogs of the harmonic conjugation operator relative to the algebras and have the usual properties, as is, for instance, in the case of -Dirichlet algebras. However, the condition for and to be -Dirichlet is too restrictive (in particular, we do not insist that a multiple of represent some multiplicative linear functional on either or ). Also, note that the proofs of Statements i) and ii) known previously were based upon the fact that, in those settings, the corresponding harmonic conjugations (or Riesz projections) were classical singular integral operators. In particular, the two proofs employed Calderón–Zygmund decomposition, which is not available in the generality adopted in the theorem. In our presentation, this singular integral operator techniques will be replaced by the use of “cut-off functions” belonging to and . Next, some assumptions about the mutual position of the annihilators of and will be made (in the context of the above Statements i) and ii), these assumptions are satisfied trivially).
2. Description of the assumptions and some examples
Among the restrictions mentioned above, only the last one will bind the pairs and together, and the other pertain to these objects taken separately. We discuss these “individual” conditions first. Let be a -closed subalgebra of containing constants (as before, is a finite measure), and let be as in the theorem. Usually, the algebras we consider will be subject to the following requirement.
Condition (). For every nonnegative function , there exists a sequence of functions belonging to and such that
[TABLE]
with a constant that may depend only on .
Observe that, passing to a subsequence, we may assume that the (and not merely their real parts) converge weakly in , hence some convex combinations of them converge strongly. Another passage to a subsequense ensures also convergence a.e. Clearly, the functions of the last subsequence still have positive real parts that converge strongly and a.e. to . So, we can always strengthen Condition in this way for free.
Examples will be discussed later, but now we signalize that this condition can easily be verified in the prototypical case of : it suffices to put
[TABLE]
where the are the Fejér kernels and tilde indicates harmonic conjugation.
The next condition will be imposed on modules over algebras in question. Let be a -closed subspace of that is a module over an algebra as above. Throughout the paper, we use the sesquilinear duality Consider the annihilator of in ,
[TABLE]
Denoting the exponent conjugate to by and putting , we readily see that , where stands for the -closure of . Next, an easy separation argument shows that is norm dense in . The last important observation is that is a Banach module over , and and are Banach modules over the algebra .
We are ready to formulate another important condition, which imitates this time some continuity properties of the orthogonal projection of onto (the Riesz projection).
Condition (). Let and be as above. We assume that there is a bounded projection of onto that is also of weak type :
[TABLE]
for all and all . As usual, the operator then extends by continuity to all with preservation of the last estimate.
Finally, we state the main result of the paper accurately. Let , , , and be the objects mentioned in the “rough” statement in the Introduction, and let and be two conjugate exponents strictly between and . The spaces , etc. (and all similar spaces for in place of ) are introduced in accordance with the above discussion.
Theorem 2.1**.**
Suppose that the algebras and satisfy Condition and that Condition is fulfilled for the module . Suppose also that the projection occurring in Condition has the following property:**
[TABLE]
Then the couple is -closed in
Condition () is precisely the “coupling” condition already promised.
2.1. The known cases
The two results mentioned in the Introduction fit in this pattern.
2.1.1. Coinvariant subspaces of the shift operator
On the unit circle with Lebesgue measure, consider the algebras and . Next, let and , where is an inner function, i.e., a function belonging to whose boundary values have modulus a.e. These objects are easily seen to satisfy conditions , , and for every , which implies Statement ii) in the Introduction. Indeed, see the paragraph after the definition of Condition to see that this condition is fulfilled for and for . As to the annihilators, we have and ( stands for the identity mapping on the circle). Condition is satisfied for because of the standard properties of the “negative” Riesz projection
[TABLE]
Next, clearly, , ensuring also .
2.1.2. Two-dimensional torus
In the situation of Statement i) in the Introduction, we take for the subalgebra of consisting of all functions that belong to in the first variable for almost every value of the second, and for the same but with the roles of the variables interchanged. Next, we take and . Again, it is easily seen that Theorem 2.1 is applicable, yielding Statement i).
Indeed, now is the subspace of that consists of all functions lying in in the first variable for almost every value of the second, and is the same but with the roles of the variables interchanged. To verify for both and , we simply do the easy harmonic conjugation construction described above (see formula (1)), but this time in one variable for every fixed value of the other. For the projection related to (or, rather, to ), we take the orthogonal projection of onto (i.e., we again simply apply the one-dimensional “negative Riesz projection” in the first variable). Note that we do have (i.e., condition is true), but this time.
2.2. -Dirichlet algebras and beyond
We remind the reader that a -Dirichlet algebra is a -closed subalgebra of that contains the constants and satisfies the following conditions: (a) is weak-star dense in ; (b) the measure represents a multiplicative linear functional on . Thus, must be a probability measure.
We refer to [1, 2, 3, 11] for the basic information about -Dirichlet algebras. In particular, a discussion of the facts listed below can be found in these sources. It should be noted that originally the term referred to an arbitrary uniform algebra whose -closure in is -Dirichlet in our sense. However, the entire action develops in this -closure in any case, so we prefer to simplify the terminology.
Let stand for the -closure of (earlier, we denoted the same object by ), then the orthogonal projection of onto (to be called the Riesz projection) is bounded on for every and is of weak type (i.e., satisfies (2)). Next, for every real square integrable function there is a unique real square integrable function such that and . The mapping is called the harmonic conjugation operator. In fact, it maps boundedly onto for every and is of weak type . Surely, these properties are equivalent to the corresponding properties of the Riesz projection.
However obvious is the proof of Condition in the simplest cases (see formula (1)), besides the -boundedness of harmonic conjugation it involves also approximation of a positive function by a.e. bounded positive functions whose harmonic conjugates are also bounded a.e. Fortunately, in the case of -Dirichlet algebras this approximation condition is fulfilled automatically. We shall prove an even stronger statement.
Let be a -closed linear subspace of , where is a finite measure. We suppose that is norm-dense in the space of real-valued -integrable functions. Next, assume that there exists a linear operator defined on and such that for every . (Note that, again, is a sort of “harmonic conjugation” but now we do not insist a real function with be unique up to a constant summand.) Moreover, we assume that for some the operator is bounded on and its adjoint is of weak type (1,1).
Lemma 2.2**.**
Under the above assumptions, satisfies Condition .
Note that here is not necessarily an algebra, but Condition makes sense also for linear subspaces of . Thus, Lemma 2.2 tells us that sometimes a condition like implies . We postpone the proof of the lemma till the end of this section, and now we give more examples.
2.2.1. -Limits of polynomials
Let be a compact subset of the complex plane with connected complement, let , and let be a probability measure on representing some point in the interior of . Then the -closure of all analytic polynomials in is a -Dirichlet algebra, see, e.g., [2].
2.2.2. The algebra generated by a semigroup
Another classical example of a -Dirichlet algebra is the algebra of all functions with whenever ( being an irrational number). Here for we take the normalized Lebesgue measure on the -dimensional torus. However, if is rational, this measure is not multiplicative on the corresponding algebra, a harmonic conjugate of a real function is not unique up to a constant summand, etc. In particular, this situation occurs for the algebra of functions analytic in one variable, though, as we have seen, our “axioms” for this algebra can easily be verified directly.
2.2.3. Weights
Another case where we do not deal with a -Dirichlet algebra is that of weighted measures. For example, on the circle there are nontrivial weights such the required continuity properties of the Riesz projection and harmonic conjugation operator remain true in the weighted norms. At the same time, the Lebesgue measure with a weight is quite rarely multiplicative on the corresponding algebra . In this paper, the weights are mentioned only to indicate a source of examples, without a more serious study. Some additional information on weighted measures in the present context can be found in [6, 7].
2.2.4. Modules over a -Dirichlet algebra
Returning to a -Dirichlet algebra , we recall that we also need modules over it as a “raw material” for Theorem 2.1. All such modules are known, see Theorem 2.2.1 in [11] and Theorems 6.1 and 6.2 in Chapter V of [2]. Basically, the interesting examples are of the form , where is a measurable function with a.e. We return to the beginning of Subsection 2.1 and, on the unit circle with normalized Lebesgue measure, consider the algebras and . Next, we let and , where this time is a unimodular function that is not necessarily analytic. It is easy to realize that an arbitrary “interesting” couple of modules over and (respectively) can be reduced to this one.
Now, if is inner, i.e., belongs to , we recover the situation already discussed. However, we do not know if the quad satisfies our “axioms” in the case of a general and, apparently, the question is difficult. By way of example, we only indicate a setting in which it is resolved in the positive, at least sometimes. Specifically, let , where is an outer function (see, e.g., [4] for the definition) and is a “genuine” inner function. Clearly, is not interesting in this situation, so we must think only about Conditions and . We have and , and it is clear that the “bordered” negative Riesz projection should satisfy Condition , provided is fulfilled for it. The latter again reduces to certain weighted estimates for the usual Riesz projection. Apparently, some weighted results proved in [6] can be adapted to give some information in the case in question.
2.2.5. Algebras on product spaces
The last lines show, in particular, that ensuring Condition may present a problem. However, there is a class of examples where this is easy. Namely, we can imitate the “tensor product” pattern of Statement i) in the Introduction, replacing the spaces in one variable by (say) two -Dirichlet algebras on some measure spaces. Surely, some modules over them (again in one variable each) can be incorporated in an obvious way.
2.3. Proof of Lemma 2.2
This is done by duality (a careful application of a separation theorem), but this will remain at the background, because we prefer to use a result already existing, see [9]. We endow the space with the norm , where is the operator introduced before the statement of the lemma. For any real function in , define a continuous linear functional on by the formula . If we prove the estimate
[TABLE]
we are done.
Indeed, then by the main result of the [9], for every with -norm at most one and every , there exists a measurable function with values in such that and . Now, we take a nonnegative function to be approximated as in Condition . By rescaling and truncation, me may assume that it is approximated by a nonnegative function not exceeding a.e. within a prescribed precision, and moreover, . Taking the above for this , we see that * is still nonnegative* and can be made as close to in as we wish, is a bounded function, and, finally, .
To prove inequality (3), it suffices to use the definition of the norm in to represent in the form
[TABLE]
with some functions and satisfying . Next, a slight modification of all functions involved allows us to assume that (no control of the -norm is assumed), after which it is safe to write . So, the desired estimate follows form the weak type inequality for .
3. Proof of the main theorem
3.1. Cut-off functions
We start with a technical lemma to be used quite substantially in the proof. Let, as before, be a -closed subalgebra of containing the constants and satisfying Condition . Let also be a fixed positive integer (for definiteness, we assume that ).
Lemma 3.1**.**
Suppose that and . Then there exists a function with the following properties:**
[TABLE]
Proof.
We put , then and, applying Property and the observation after it, we can find that have nonnegative real parts and converge in and a.e. to some function with . Moreover, we have with independent of .
Now, the functions are invertible in by the Gelfand theory. Indeed, every nonzero multiplicative linear functional on is representable by a probability measure on the maximal ideal space for , whence we see that the spectrum of lies in the half-plane , hence does not contain the point [math]. Clearly, .
Thus, the function defined by the formula
[TABLE]
belongs to and has norm at most in this algebra or in . Next, we have
[TABLE]
whence we deduce that
[TABLE]
Clearly, we also have the pointwise estimate
[TABLE]
Now, the choice of the shows that the functions converge a.e. to some function , which belongs to the unit ball of because the convergence is also in the -topology of (and, by the way, also in ).
Since a.e., the limit passage in (5) yields (O2). At the same time, (O1) follows by the limit passage in (4). ∎
We give immediately an application of this construction. The lemma presented below will be used as a substitute for a procedure employed originally in the proofs of Statements i) and ii) (see the Introduction) and based on Calderón–Zygmund decomposition. To make the claim closer to the setting in which it will be applied, we consider an algebra as above, a subspace of that is a module over , and a number . We denote by the exponent conjugate to , and use the spaces and introduced before the definition of Property . We also need the closure of in the Lorentz space . Recall that, clearly, , , and are modules over .
Lemma 3.2**.**
Suppose that and . Then there exist functions and , as well as a set such that and
[TABLE]
Proof.
We shall employ an “analytic” cut-off function provided by Lemma 3.1, but before that it is useful to cut into two pieces crudely (by truncation). Specifically, we write first , where
[TABLE]
Clearly, is supported on the set and
[TABLE]
Next, it is also clear that . Now, it is easily seen that .
For completeness, we reproduce the standard calculation leading to the last estimate. Consider the distribution function for . Then for and . Now, we have
[TABLE]
and the claim follows. Note that, surely, for this calculation we only need that .
Now, suppose that we are given a function , and we want to split it is claimed in Lemma 3.2. Compared to the classical situations of Hardy spaces on the disk, we encounter here a tiny technical difficulty related to the possible absence of what is called “the boundary maximum principle”. Specifically, if a function in happens to be integrable, it is not clear a priori whether this function belongs to . To circumvent this difficulty, we first assume that (no control of the norm of in this space is assured, we shall only use the quantity ). If the lemma is proved for such , then the general case also follows easily. Indeed, we represent an arbitrary in the form where for all and the norms of these functions in tend to zero very quickly. Then we split each summand as claimed in the lemma. The corresponding number changes with ; the also should tend to zero quickly, but much slower than the norms of the . In fact, some geometric rates would suffice in the two cases. Finally, we sum the splittings for over . The adjustment of the details is left to the reader. It should also be noted that, in fact, in the sequel we shall only need the case where (and even ), see Subsection 3.2.
So, in what follows we work with . To begin with, we split crudely by truncation as described above: , etc. We are going to apply Lemma 3.1 to the function
[TABLE]
where is a positive integer strictly greater than . First, we show that
[TABLE]
Indeed, the left-hand side does not exceed the quantity
[TABLE]
where stands for the indicator function of a set . Denoting by the distribution function for , we have
[TABLE]
Rewriting the right-hand side of (11) in terms of this distribution function, we majorize it by the quantity
[TABLE]
In the course of the proof, we have used the inequality , which is precisely our choice of .
Now, we apply Lemma 3.1 to and the algebra , obtaining a function such that
[TABLE]
We show that the required decomposition of can be given simply by . To prove the due estimates for the functions and , we shall use the “crude” decomposition described above.
We observe that, by our assumptions about , we clearly have because the last space is a module over . In order to ensure that , it only suffices to prove the norm estimate (see (6)) because by definition. Now, recalling the notation and the fact that is supported on , we have
[TABLE]
and (6) is proved.
Next, we define , then (8) and (9) are clear. To verify (7), we write
[TABLE]
and the required inequality follows from (12) and the estimate for obtained above.
∎
3.2. End of the proof: duality and another cut-off
We pass to the proof itself of Theorem 2.1. Recall that we are given two algebras and , two modules and , and a number , and we must prove that the couple is -closed in . Let be the exponent conjugate to . It is well known (see [10] or the survey [8]) that the question is equivalent to the -closedness of the couple of annihilators of the spaces in question in the preduals. That is, our task is to show that the couple
[TABLE]
is -closed in . The closures in the above display are taken in and , respectively. Note that the spaces and are not necessarily closed themselves. However, we can forget about the operations of closure in what follows because, as is easily seen, when we verify the -closedness for a couple , it suffices to ensure the required decomposition only for a dense subset of (surely, we should also control the corresponding estimational constants in a uniform way). In our setting, even and are dense in and , respectively, so we can comfortably restrict ourselves to the the solution of the following problem.
Suppose that is represented in the form
[TABLE]
find and such that
[TABLE]
where depends only on .
For brevity, we put and . Next, denote by the closure of in . We remind the reader that, by the assumptions of the theorem, there is a projection that maps boundedly onto and also boundedly to (in particular, it is identical on ); moreover, it is assumed that .
We apply Lemma 3.2 to the function (the ground algebra is now). It should be noted that, though the quantity required for the subsequent calculations is , in fact our choice of implies that , consequently, also . This observation will be of some use in the sequel, but now we write out the result of application of Lemma 3.2, in which we take : there exist , , and a set such that
[TABLE]
Now, we define a function by the formula
[TABLE]
Since is zero on and takes into itself by assumption, we see that because . Now we fix an integer and introduce a function by putting
[TABLE]
We apply Lemma 3.1, this time to in the role of a ground algebra, to the exponent , and to . This yields yet another cut-off function function with
[TABLE]
Finally, we define
[TABLE]
and claim that the required decomposition of is given by
[TABLE]
Now, , , and , whence we see that . Since also belongs to the last space, we deduce that . This means that it suffices to ensure only the norm estimates and .
First, we estimate the quantity . By the definition of and , we obtain
[TABLE]
We estimate separately the last three summands in (18). Using formulas (17), (14), and (15), we arrive at the following inequality for the very last summand:
[TABLE]
The remaining two summands are estimated with the help of the inequality, the continuity of in , and relation (13):
[TABLE]
Thus, it suffices to show that
[TABLE]
By (17), it suffices to estimate the quantity . We introduce the distribution function for :
[TABLE]
Now, we have
[TABLE]
By (16) and the Chebyshev inequality, we obtain
[TABLE]
Substituting these expressions in (21), we see that
[TABLE]
Thus, we have proved inequality (20) and, with it, inequality (18).
It remains to estimate the quantity . Using the expressions for and , we obtain
[TABLE]
Using (13) and the fact that , we deduce that
[TABLE]
The second summand is dominated by
[TABLE]
We continue by using (17) to obtain
[TABLE]
Next, we employ (15) and (14) to estimate the first and the second summand in the last expression (respectively), and then take the definition of into account, to dominate the last quantity by
[TABLE]
This proves the required estimate for and, with it, the main theorem.
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