Abstract
In view of the importance of Besov space in harmonic analysis, differential equations, and other fields, Jaak Peetre proposed to find a precise description of . In this paper, we come to consider this problem by wavelets. We apply Meyer wavelets to characterize the real interpolation of homogeneous Besov spaces for the crucial index p and obtain a precise description of .
1. Introduction
Since the middle of 20th century, the study of interpolation space has greatly promoted the development of function space, operator theory, and developed a set of perfect mathematical theories. It greatly enriches the theory of harmonic analysis, see [1,2,3,4]. However, for a long time, only the real interpolation spaces of Lebesgue spaces have been studied thoroughly, their forms are known as Lorentz spaces, and there are a lot of literature about Lorentz spaces, see [2,5,6,7,8,9].
For the real interpolation of Besov spaces, we can refer to [9,10,11,12,13,14,15,16]. When the index p is fixed, it has been shown that are still Besov spaces, see [4,9,16]. The interpolation for the index p is very different to which for the indices s and q. If , then will fall outside of the scale of Besov spaces. J. Peetre proposed to consider the real interpolation of Besov spaces in [4]. For more than forty years, due to some inherent difficulties, little progress has been made in this regard.
In this paper, we consider the interpolation problem introduced in [4] for the crucial index p. Wavelets have localization of both frequency and spatial position, which provides a powerful tool for the study of the interpolation of Besov spaces. In this paper, we obtain a precise description of by Meyer wavelets. Further, as , we prove that can fall into the Besov–Lorentz spaces in [17].
For Besov and Triebel–Lizorkin spaces, we use the characterization based on the Littlewood–Paley decomposition, see [9,18,19]. Given a function , such that its Fourier transform and satisfies
For , we define by
These functions satisfy
Denote the space of all Schwartz functions on by . The dual space of , namely, the space of all tempered distributions on , equipped with the weak-* topology, is denoted by . Denote the space of all polynomials on by . Let . Define , the is called the u-th dyadic block of the Littlewood–Paley decomposition of f. We recall the definition of and .
Definition 1.
Given,and. For, we define
- (i)
- For,, if.
- (ii)
- For,, if.
As, it should be replaced by the supremum norm.
The definition of the above two spaces are independent of the selection of the functions , see [9].
Then, we recall some notations of Meyer wavelets. Let be an even function in satisfying
Let
Then, is an even function in . It is easy to get
Denote . For all , define
Furthermore, and
For , denote
For , let . The following results are well-known, see [17,18,20].
Lemma 1.
The Meyer wavelets form an orthogonal basis in , hence, for all , the following wavelet decomposition holds in sense,
In this paper, we first give some precise descriptions of with wavelets. Let be the characteristic function on the unit cube . For Borel set F in , denote the Lebesgue measure of F. Suppose that , and , denote
Theorem 1.
Given,,,and. For, we have
- (i)
- if, and only if,
- (ii)
- if and only if
The above wavelet characterization is slightly complicated. Yang-Cheng-Peng [17] introduced Besov–Lorentz spaces. Further, when , we can prove that are just the Besov–Lorentz spaces defined in [17]. We have
Theorem 2.
Let , , , , , and . Then the following conditions are equivalent.
- (i)
- if, and only if,
- (ii)
- if, and only if,
Although the above main results still not solve the problem proposed by J. Peetre [4] thoroughly, we obtain a precise description of by Meyer wavelets. The wavelet characterization of real interpolation spaces of Besov spaces provides people with an effective means to study the continuity of linear operators and bilinear operators on such spaces. We are using this point to study the well-posedness of non-linear fluid equations.
The plan of this paper is the following. In Section 2, we recall the general background of the real interpolation method and Lorentz spaces. Then we review wavelet characterization of and . In Section 3, we give the proof of Theorem 1. Finally, in Section 4 we prove Theorem 2.
In this paper, means the estimation of the form with some constant C independent of the main parameters, C may vary from line to line. means and .
2. Preliminaries on Real Interpolation and Wavelets
In this section, we present some preliminaries on real interpolation and wavelets.
2.1. K-Functional and Real Interpolation
The K-functional was introduced by J. Peetre in the process of dealing with real interpolation spaces, see [1,4]. If is a pair of quasi-normed spaces which are continuously embedded in a Hausdorff space X, then the K-functional
is defined for all , where , .
Definition 2.
Let and . We define
Further, we define
Bergh-Löfström [1] has shown that the norms of the spaces in (1) and (2) have the following discrete representation.
Lemma 2.
Let . Then,
In the following part, we always use this form. For and function , the distribution function and rearrangement function are defined in the following way
We review some results about K-functional, see [3].
Lemma 3.
Suppose that and . Then
Lemma 4.
If and , then
For , K-functional can be replaced to functional, see [21]. Define functional by
and
We recall an important lemma about , see [21].
Lemma 5.
Let be a couple of quasi-normed spaces. For any , we have
2.2. Lorentz Spaces and Lebesgue Spaces
In this subsection, we present first the definition of Lorentz spaces which are the generalization of Lebesgue spaces and then some relative lemmas.
Definition 3.
For and , the Lorentz spaces are defined as follows
For ,
It is easy to see that . Further, corresponds to the weak spaces. The above definition depends on the rearrangement function . These spaces can be characterized by distribution function also, see [2].
Lemma 6.
Let and . Then, for any , one has
The above continuous integral can be written as the following discrete form, see [17].
Lemma 7.
Suppose that and . Then , if
as , the -norm should be replaced by the -norm.
The above Lorentz spaces are in fact real interpolation of Lebesgue spaces , see [1].
Lemma 8.
Assume that , , and . Then
By Lemma 8, we get another characterization of as below.
Corollary 1.
Let all parameters be as defined in Lemma 8. Then,
2.3. Wavelet Characterization of and
For any function in or in Definition 1, the following wavelet decomposition holds in the sense of distribution,
We recall the wavelet characterization of and in this subsection, see [16,17,18,20]. For any and , denote
When , we denote .
Lemma 9.
Let .
- (i)
- For , if, and only if,
- (ii)
- Fo, if, and only if,
It is easy to see that . In [17], Yang-Cheng-Peng proved the wavelet characterization of Lorentz spaces .
Lemma 10.
Suppose that , and . Then , if
as , the -norm should be replaced by the -norm.
Remark 1.
f and can control each other by using good inequality. When the Fourier transform of f is supported on a ring, f and can control each other. The distribution function and rearrangement function can be replaced by and , see [17]. Without affecting the proof, these notations are not strictly distinguished in this paper.
3. Proof of Theorem 1
In this section, we characterize , and with wavelets. Now we come to prove Theorem 1.
Proof.
Denote
For any function f in , the following wavelet decomposition holds in the sense of distribution,
From Lemma 9, it follows that
Denote
By Lemma 9, we deduce that
Hence,
Consequently,
If , then and . Applying Remark 1, we have
For , we have
Thus,
By (5), we deduce that
Denote
Hence,
Let us prove the theorem in two cases.
- (i)
- For , by Remark 1 and Lemma 3, we have
- (ii)
- For , by Lemma 4, similar as we did in (i), we havewhere . Denote
The proof of Theorem 1 is complete. □
4. Proof of Theorem 2
Now we come to prove Theorem 2.
Proof.
Applying Lemma 5, the same as we did in the proof of Theorem 1, we can also get
where , . As , we can write
Thus,
We will prove the theorem in two cases.
- (i)
- For and , using Lemma 7, we have
- (ii)
- Applying Lemma 10, we obtain another equivalent form of ,
We finish the proof of Theorem 2. □
Author Contributions
Conceptualization, Q.Y., J.H., Z.L. and K.H.; methodology, Q.Y. and Z.L.; formal analysis, Z.L. and J.H.; investigation, Z.L., J.H. and K.H.; supervision, J.H. All authors have read and agreed to the published version of the manuscript.
Funding
This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 12071229, 11571261, and the Project of Guangzhou Scientific and Technological Bureau Grant No. 202102010402.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Bergh, J.; Löfström, J. Interpolation Spaces, An Introduction; Springer: New York, NY, USA, 1976. [Google Scholar]
- Cheng, M.; Deng, D.; Long, R. Real Analysis, 2rd ed.; High Eduacatin Press: Beijing, China, 2008. [Google Scholar]
- Holmstedt, T. Interpolation of quasi-normed spaces. Math. Scand. 1970, 10, 177–199. [Google Scholar] [CrossRef]
- Peetre, J. New Thoughts on Besov Space; Math Series; Duke University: Durham, NC, USA, 1976. [Google Scholar]
- Blozinski, A.P. On a convolution theorem for L(p, q) spaces. Trans. Am. Math. Soc. 1972, 164, 255–265. [Google Scholar]
- Hunt, R.A. On L(p, q) spaces. Enseign. Math. 1966, 12, 249–276. [Google Scholar]
- Lorentz, G.G. Some new functional spaces. Ann. Math. 1950, 51, 37–55. [Google Scholar] [CrossRef]
- O’Neil, R. Convolution operators and L(p, q) spaces. Duke Math. J. 1963, 30, 129–142. [Google Scholar] [CrossRef]
- Triebel, H. Theory of Function Spaces; Birkhauser Verlag: Boston, MA, USA, 1983. [Google Scholar]
- Asekritova, I.; Kruglyak, N. Interpolation of Besov spaces in the nondiagonal case. St. Petersb. Math. J. 2007, 18, 511–516. [Google Scholar] [CrossRef]
- Besoy, B.F.; Cobos, F.; Triebel, H. On Function Spaces of Lorentz–Sobolev type. Math. Ann. 2021, 1–33. [Google Scholar] [CrossRef]
- Devore, R.A.; Popov, V.A. Interpolation of Besov Spaces. Trans. Am. Math. Soc. 1988, 305, 397–414. [Google Scholar] [CrossRef]
- Cobos, F.; Fernandez, D. Hardy-Sobolev Spaces and Besov Spaces with a Function Parameter; Springer: Berlin, Germany, 1988. [Google Scholar]
- Devore, R.A.; Yu, X. K-functionals for Besov spaces. J. Approx. Theory 1991, 67, 38–50. [Google Scholar] [CrossRef]
- Triebel, H. Spaces of distributions of Besov type on Euclidean n-space. Duality, interpolation. Ark. Mat. 1973, 11, 13–64. [Google Scholar] [CrossRef]
- Yang, D. Real interpolations for Besov and Triebel-Lizorkin spaces on spaces of homogeneous type. Math. Nachr. 2004, 273, 96–113. [Google Scholar] [CrossRef]
- Yang, Q.; Cheng, Z.; Peng, L. Uniform characterization of function spaces by wavelets. Acta Math. Sci. Ser. A Chin. Ed. 2005, 25, 130–144. [Google Scholar]
- Yang, Q. Wavelet and Distribution; Beijing Science and Technology Press: Beijing, China, 2002. [Google Scholar]
- Yang, Q. Introduction to Harmonic Analysis and Wavelets; Wuhan University Press: Wuhan, China, 2012. [Google Scholar]
- Meyer, Y. Ondelettes et Opérateur, I et II; Hermann: Paris, France, 1990. [Google Scholar]
- Holmstedt, T.; Peetre, J. On certain functionals arising in the theory of interpolation spaces. J. Funct. Anal. 1969, 4, 88–94. [Google Scholar] [CrossRef][Green Version]
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