Duality in a stability problem for some functionals arising in interpolation theory
Anton Tselishchev

TL;DR
This paper demonstrates the existence of near-minimizers for certain distance functionals in interpolation theory that remain stable under singular integral operators, using duality techniques.
Contribution
It introduces a duality-based approach to establish stability of near-minimizers in interpolation spaces involving $L^ ext{infty}$ and $L^p$.
Findings
Existence of near-minimizers for specific distance functionals.
Stability of these near-minimizers under singular integral operators.
Application of duality in interpolation theory.
Abstract
By using duality, it is shown that there exist near-minimizers for the distance functionals for the couple , , that are stable under the action of singular integral operators.
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Duality in a stability problem for some functionals arising in interpolation theory
Anton Tselishchev
Chebyshev Laboratory, St. Petersburg State University, 14th Line V.O., 29B, Saint Petersburg 199178 Russia
St. Petersburg Department of Steklov Mathematical Institute, Fontanka 27, St. Petersburg 191023, Russia
Abstract.
By using duality, it is shown that there exist near-minimizers for the distance functionals for the couple , , that are stable under the action of singular integral operators.
This research was supported by the Russian Science Foundation (grant No. 14-21-00035).
1. Introduction
Consider the spaces and and the following expression, the distance functional from the function from to the ball of radius in :
[TABLE]
The book [3], among other things, solves the question of the existence of a stable (under the action of a singular integral operator) near-minimizer for such functional. Specifically, the following theorem is proved there.
Theorem 1**.**
Let be a Calderón –Zygmund operator and is a function for which . Then for any there exists such function that the following conditions hold:
[TABLE]
Here we say that if for some constant . It will always be clear from the context from which parameters can depend and from which it can not (or it will be stated explicitly). Here these constants do not depend on and .
The first two conditions in this theorem mean that is a near-minimizer for the distance functional for at and the third one says that behaves much like the near-minimizer for the distance functional for at (in particular, it will be the near-minimizer if the second term majorizes the first one). The main method of proof is the approach of Bourgain from the paper [1]. Stable near-minimizer is constructed almost explicitly — srecifically, an arbitrary near-minimizer turns into a stable one by adding the “good” part of Calderón–Zygmund decomposition
In addition to the application of stability theorems to the interpolation theory, it is not difficult to prove, for example, the following corollary of the above theorem. (which is also proved in the book [3]).
Corollary 1.1**.**
If and are as above, then there exist functions in convergent to in and such that are all in and .
By the same method, but using some other decompositions instead of the standard Calderon–Zygmund, one can get similar theorems in some other cases that are not considered in the book [3] — in particular, the stability theorem with respect to projections on wavelets with only a rather weak decay condition at infinity — this is done by the author in the paper [6].
Singular integral operators are usually discontinuous not only on but also on . Thus the question of existence of stable under the actions of such operators near-minimizers for couple , , arises. This problem is not solved in the book [3] and moreover it is hard to expect that such near-minimizers can be constructed explicitly in any sense. The goal of this article is to show by using duality that such near-minimizers do exist.
The author is kindly greatful to his scientific advisor, S. V. Kislyakov, for posing these problems and for the continuous support during the process of their solutions.
2. The application of duality
We note that the problem of the existence of stable near-minimizers is connected to another, more classical — the problem of -closedness of a certain pair of subspaces. The definition of the notion of -closedness introduced in the paper [5] is as follows. Let be a compatible pair of Banach spaces (which means that they are embedded into some topological vector space) and and are closed subspaces of and respectively. Then this pair of subspaces is called -closed in if there exists a constant such that for any representation of element in the form , where , , we can find another representation , where and are in and respectively, and we can control their norms: , . The concept of -closedness plays an important role in interpolation theory — if one knows the interpolation space for the pair (denoted by the symbol for some and ), and a pair of subspaces is -closed in it, then the corresponding interpolation space for the pair is easy to determine — the following equality is true:
[TABLE]
Let be a singular integral operator (or a projection related to wavelets from the paper [6], in this case, stands for and instead of Calderón–Zigmund decomposition one should simply use the decomposition described in that paper). For any finite we denote by the space , and denotes its subspace. Clearly, is a closed subspace of (for this is obvious, since is a bounded operator on , and for it is also easy in view of the fact that is an operator of weak type ). It is known that the question about -closedness of couple in (for example, in one-dimensional case, if one sets to be the Riesz projection then this question transforms into the problem of -closedness of couple of Hardy spaces in the couple ) is solved positively, see for example [2] or [4].
For an element we write:
[TABLE]
When we investigate the question of -closedness, we are interested in norms of summands in the right hand side of the equation in and respectively, so we will assume that , , , . In this case from the -closedness of the couple in we get the following decomposition:
[TABLE]
where , , , .
We now come back to the problem of the existence of a stable near-minimizer for the couple . It can also be rewritten ih the similar terms. Indeed, if we fix a positive number , then we can take and such that their norms in does not exceed and , respectively (and and can be taken from a ball of radius in ). Thus, we write:
[TABLE]
where , , , . Our goal is to construct a decomposition of the form where the norms of the summands are controlled by the same numbers , and . Note that, in essence, this is exactly what is done when applying the Bourgain method in the proof of the theorem 1 in the book [3] (as well as in the proof of Theorem 2 in [6]) but for the sake of completeness we repeat this argument here. So, if is the Calderón–Zygmund decomposition on the level ( is the ”good” part, is ”bad”), where is such that , then . Besides that, and because and (and so ). Since is bounded on , the inequality is also true. Let us denote the cubes from the Calderón–Zygmund decomposition by and let be . Then, using the properties of the operator (”long-range regularity”, using the terminology of book [3]), where denotes the complement of set . In order to estimate the integral over , we use the Hölder inequality in the following way:
[TABLE]
Measure of set can be estimated by . According to our choise of we get the inequality . Thus, once we have the decomposition of pair stated above, we get the following decomposition:
[TABLE]
where , , , .
This discussion shows that the stability problem is more delicate than the problem about -closedness stated above — some part of information is not used in the -closedness problem.
For a subspace of a Banach the space we denote by the annihilator of — such elements that for all . It is clear that is a weak-* closed subspace of . In the paper [5] it is noted that the -closedness of the couple of subspaces in is equivalent to -closedness of the couple of their annihilators, , in . The exposition of this fact can be found in the paper [2]. For the problem of near-minimizers, a similar argument can be made and we pass to it.
It is not difficult to realise what is the annihilator of the subspace . Let , then for all , which can be rewritten as and thus has the form . What we have just written is true only in the case , when is a bounded operator on . The case, for example, , should be treated with caution — in particular, then is an element of the space , in which functions are defined only up to the constant. This (again, for the -closedness question) is written, for example, in the paper [4]. According to this discussion, in the formulation of the theorem we will assume that the original function lies in for some — then the function is uniquely defined (as a function in ). Note that if and , then . Indeed, according to Corollary 1.1, for every function , such that , there exists a sequence of functions such that , and (both convergences are in ). Therefore it is enough for to be equal to zero for all , and this is obviously true because , and is bounded on and .
After all the remarks we made, it is not difficult to prove the theorem about the existence of a stable near-minimizer for the pair .
Theorem 2**.**
Suppose that , f is a function from such that and . Then for any there exists a function for which the following conditions hold:
[TABLE]
Proof.
Suppose is decomposed in the following way:
[TABLE]
where , , , . We are going to show that in this case where
[TABLE]
Here the constant will be chosen later. It is clear that the statement of the theorem follows from this — as in the beginning of this section, it is enough to take and (and to denote by and the corresponding near-minimizers).
So we suppose it is not true. It is easy to see that is a weakly-* compact subset of . Therefore, if the point does not lie in the set , then they can be separated by a weakly-* continuous functional on , that is, we can find the element such that
[TABLE]
and
[TABLE]
The second of these equations gives an estimate for the norm of the functional restricted to and to . The functional on can be considered as an element of the factor space , and it can be ”lifted” to the element of , with the norm increasing by no more than twice. By doing the same for , we can get the pairs of functions and such that , , , , and the actions of these pairs as functionals on and respectively coincide with the action of . This means, in particular, that annihilates , and therefore lies in . According to what is written at the beginning of this section, it means that this difference can be written in the following form:
[TABLE]
where , , , , , . Here is a constant hiding under the sign ”” from the reasoning at the beginning of this section (or, equivalently, in Theorem 1). We set . Then, since , coincides with on (as a functional), and since , coincides with on . Since , we write:
[TABLE]
The right hand side is estimated by Hölder’s inequality — it does not exceed
[TABLE]
Taking , we arrive at a contradiction with the fact that
[TABLE]
and the theorem is proved. ∎
In the book [3] (and the paper [6]) it is noted that Theorem 1 is also true for the operator , where is an arbitrary measurable subset of , if we are considering singular integrals, and a subset of , if we are considering wavelets. In this regard, the theorem we just proved can be formulated for the operator — that is, for the function living on the set (and continued by zero to the whole space ).
Theorem 3**.**
Suppose that , f is a function from whose support lies in a measurable set such that and . Then for any there exists a function with a support lying inside the set for which the following conditions hold:
[TABLE]
As we mentioned above, this theorem is exactly the theorem 2 for the operator which is true because theorem 1 is true for the operator . We note that if is a set of finite measure, then the condition is redundant because the bounded function on automatically lies in all for any .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] J. Bourgain, Some consequences of Pisier’s approach to interpolation , Isr. Math. J., 77 (1992), 165–185.
- 2[2] S. V. Kisliakov, Interpolation of H p superscript 𝐻 𝑝 H^{p} -spaces: some recent developments , Israel Math. Conf. Proc. 13 (1999), 102–140.
- 3[3] S. Kislyakov and N. Kruglyak, Extremal Problems in Interpolation Theory, Whitney–Besicovitch Coverings, and Singular Integrals , Birkhäuser, 2013.
- 4[4] S. V. Kislyakov, Quan Hua Xu, Real interpolation and singular integrals , Algebra i Analiz, 8 :4 (1996), 75–109
- 5[5] G. Pisier, Interpolation between H p superscript 𝐻 𝑝 H^{p} spaces and non-commutative generalizations. I , Pacific J. Math., 155 (1992), no. 2, 341–368.
- 6[6] A. Tselishchev, Stability of nearly optimal decompositions in Fourier Analysis , Zap. Nauchn. Sem. POMI, 456 (2018), 191–207.
