Abstract
The paper describes approximations properties of monotonically increasing sequences of invariant subspaces of a self-adjoint operator, as well as their symmetric generalizations in a complex Hilbert space, generated by its positive powers. It is established that the operator keeps its spectrum over the dense union of these subspaces, equipped with quasi-norms, and that it is contractive. The main result is an inequality that provides an accurate estimate of errors for the best approximations in Hilbert spaces by these invariant subspaces.
MSC:
47A58; 41A17
1. Introduction
Our purpose is to study the approximation properties of monotonically increasing family of invariant subspaces relative to a given self-adjoint unbounded operator A in a complex Hilbert space H. The monotonicity property of is crucial to obtain an accurate error estimate for the best approximations in the space H using the A-invariant subspaces . In the paper, we propose the construction of the increasing family on the basis of positive operator degrees . Such subspaces have the following form:
in the case (specified also for ), where the index appears as a parameter for the monotonic ordering of these subspaces relative to the contractive inclusions
It is also examined the monotonically increasing symmetric family of interpolation subspaces in H with the parameter ,
generated by a quadratic modified real interpolation method with , as well as the increasing family of Lorentz-type subspaces in H with a scalar index .
Each of the subspaces (also their symmetric versions ) is complete and A-invariant. Moreover, the restrictions A to are bounded, namely for all (see Theorem 1). On the quasi-normed union of these subspaces,
the operator A is contractive and keeps its spectrum (see, Theorem 2), i.e.,
To estimate the best approximation errors in the Hilbert space H by monotonically increasing family of invariant subspaces (also their symmetric versions ), we apply the so-called best approximation E-functional (more details in [1,2])
and the corresponding quasi-normed approximative space
The main result is the following isomorphism of quasi-normed spaces
where on the right-hand side is the -power of best approximation space generated by the quadratic modified real interpolation method with . This isomorphism provides the validity of the following estimation for approximation errors:
for all elements (see Theorem 3 that is also true for symmetric spaces ). This inequality fully characterizes the subspace of elements from H in relation to rapidity of approximations.
Finally, note that inverse and direct theorems on best approximation estimates are proven in [3] where, instead of the E-functional, the modulus of smoothness was used. Exact estimations for approximation errors of spectral approximations for unbounded operators in Banach spaces, using the Besov-type quasi-norms, as well as many examples of Besov-type spaces generated by various unbounded operators, in particular elliptical operators, are given in the papers [4,5].
In the present paper, notions about interpolation and approximations tools are used without additional mentions from well-known books [1,6].
2. Quadratic Real Interpolation of Invariant Subspaces
We assume everywhere that, on a Hilbert complex space H, endowed with the norm , a self-adjoint unbounded linear operator A with the dense domain is given. By the spectral theorem, the operator A and its positive powers have the following spectral expansions:
such that for all (see, e.g., [7]), where is a unique projection-valued measure determined on its spectrum with values in the Banach space of bounded linear operators that can be extended on as zero. For any Borel set , the spectral subspace is defined to be the range
Consider subspaces generated by domains of all powers of the operator A
Let and . The following mappings
are well defined. Hence, for any , we can assign the linear subspace which by definition contains all elements such that the scalar function
has the finite norm
This definition is correct, since, for any and , the following inequality holds:
for any . The case is similar, which proves the linearity of .
We will apply a quadratic modified real interpolation method. Given a couple of normed spaces ,
where elements of the algebraic sum are such that , we assign the quadratic K-functional with
(see [2] (Definition 3.3), [8] (p. 318)). Note that this couple of normed spaces with a fixed and an operator A can be considered as a subspace in endowed with the quasi-norm
which guarantees its compatibility ([1] (3.11)).
For any pair indexes or with the help of a quadratic K-functional, we define the interpolation space
endowed with the norm that is determined in the case using the Haar measure on the multiplicative group . For this interpolation space, we will briefly denote
In particular, for any and , the Lorentz-type subspace in H can be defined with the help of the following linear isomorphism (see, e.g., [1] (p. 109), [9] (Proposition 2))
In accordance with this definition, the Lorentz subspace contains all scalar functions in the variable belonging to , i.e., such that
where the non-increasing rearrangement of the function ,
is defined via the Lebesgue measure on . In other words, the function should be -integrable.
Let us describe the basic properties of the normed spaces and .
Theorem 1.
(a) The subspaces and are invariant with respect to the operator A and the following inclusions
for any are contractive.
(b) The restrictions and of A on the subspaces and , respectively, are bounded operators satisfying the inequalities
(c) The spaces and with are complete.
(d) Every spectral subspace with a Borel is contained in some and with a large enough .
Proof.
(a) The inequality immediately yields the contractive embedding .
For , the following inequality with arbitrary holds:
By Lagrange’s mean value theorem, for any , there exists such that
This yields the contractive embedding for any .
Consider the case of a vector index with . Let . By the known interpolation property of K-functionals (see [1] (p. 81) or [8] (Theorem B.2)), the contractive inclusions with both indexes imply that the inclusion
is contractive. In particular, it holds for the Lorentz-type spaces. Thus, as a summary result, we obtain the inequality
For any and , we have . Hence,
yields the contractive embedding . Likewise,
Thus, for is also contractive.
Similarly, for the subspaces , we obtain the inequality
The inequality (6) and (7) together yield all inclusions (3).
(b) Since for all , we get
Applying the already mentioned interpolation property of K-functionals (see, [1] (p. 81) or [8] (Theorem B.2)), we obtain the inequality
and any with . It at once follows (4).
(c) Let be a fundamental sequence in . For every , there exists such that for all . By the inequality (5), for any and , we find
In particular, this inequality hold for the indexes . Consequently, by the known interpolation property (see, e.g., [9] (Theorem 4)), we obtain
It follows that and , for every , are fundamental sequences in H. By the completeness of H, there exist such that and by the norm in H. The graph of the operator is a closed subspace in ; therefore, and . Since, it holds for any , we have . Hence, is convergent by the norm in H for any .
Furthermore, we may apply a standard reasoning. For every , there exists the following limits and for all such that
for all . From , it follows that
By integration with the weight , we find
Hence, , which is the same in the case . Moreover, by integration with the weight , the inequality
and we find that for all . Thus, is complete. The case is fully similar.
An alternative reasoning can also be used. Since both spaces and are complete, the interpolation space is also complete in accordance with ([1] (Theorem 3.4.2 & Lemma 3.10.2)), [6].
(d) Let and . In accordance with the spectral theorem, the restriction is a bounded operator on the spectral subspace . Hence, using the inequality , we get
for any , where
Thus, every spectral subspace is contained in some with a large enough .
For , we similarly obtain
for all , i.e., for a large enough . □
3. Dense Quasi-Normed Invariant Subspaces
Now, we consider the union
which is a linear subspace in H, in view of the monotonicity of subspaces resulting from Theorem 1(a). Similarly, we define the linear subspace in H
The correctness of these definitions follows from the elementary considerations that
for all , . Obviously, . As a result, is a quasi-norm.
In the following statements, we describe the basic properties of quasi-normed spaces and .
Theorem 2.
(a) The linear subspaces and are dense in H and the restrictions of A to these both subspaces are contractive.
(b) The spectrum of the operator A allows the following decompositions:
Proof.
(a) By the spectral theorem, the collection of spectral subspaces with all Borel subsets is total in H. Hence, from Theorem 1(c), it immediately follows that the union is dense in H.
Since and for all , we find that
The case of spaces is similar.
(b) For any and , the equality
holds. Thus, in the case , we get
Thus, . It follows that for any . For , the reasoning is similar.
Let be a Borel set. By Theorem 1(c) for the corresponding spectral subspace , there exists such that . Then, for any , we have
If is a fundamental sequence in with the limit , then the following sequences for every are fundamental in H and
by the closeness of operators on H.
By Theorem 1(c) , hence the resolvent is well defined and closed on . By the closed graph theorem, the resolvent is bounded on for any , i.e., . As a result,
The inclusions that are implied from the spectral theorem still need to be used. As a result,
The case of the space with is completely similar. □
Remark 1.
Since for all , we can rewrite the first inequality (4) as
4. Estimates of Best Approximation Errors
We study in this section the case of best approximation, where the compatible pairs are quasi-normed invariant subspaces in the initial Hilbert space H, generated by a given self-adjoint operator
Let . For the pair indexes , we assign the Banach spaces
We will investigate the compatible couple of spaces in which
is a quasi-normed subspace in the Hilbert space H. This couple is compatible, since the sum possesses the well defined quasi-norm
Apply now to this compatible couple the quadratic modified real interpolation method. Let us define the suitable quadratic K-functional with
Using this functional, we define the corresponding real interpolation space
endowed with the quasi-norm .
Furthermore, we will deal with the problem of estimating the best approximations of elements of the Hilbert space H by invariant subspaces of the operator A.
To estimate these best approximation errors, we apply (see, e.g., [1] (Chapter 7)), the so-called approximation E-functional with and in the following form:
For each index , we assign the quadratic approximation subspace
endowed with the quasi-norm , where
Following ([1] (Exercise B.5)) (see also [8] (Appendix B, p. 329)), we use the normalization factor
The following theorem contains the main result:
Theorem 3.
(a) The following isomorphism with equivalent quasinorms
holds, wheremeans the real interpolation spaceendowed with the quasi-norm.
(b) The following estimation of best spectral approximation errors
is achieved for all elements .
Proof.
(a) First, note that as and as (see [1] (Section 7.1)). Let us define
Then, similarly as the above, as and as (see [1] (Section 7.1)). Integrating by parts with the change of variables , we similarly to [4] get that
The following inequalities are a consequence of definitions and (see [2] (3.1)),
On the other hand, from the right inequality (13), it follows that
As a result, from the previous inequalities, we get
for all . Hence, the isomophism (10) holds. The statement (a) is proved.
(b) Let us use the auxiliary function
By integrating both sides of , we find
as well as
It follows that
Thus, and, taking into account (13), we have
Applying the known inequality from [1] (Lemma 7.1.2), we get that, for a given , there exists such that
As a result, from (15), we obtain or
Substituting values of the normalisation factor , we get the inequality (11). □
5. Conclusions
The motivation of a given publication is to present precise estimates of best quadratic spectral approximations for self-adjoint operators in Hilbert space. The solution to this problem is included in the main Theorem 3. This is our first quick publication in this direction. In the future, we plan to analyze the connection of our results with various already known studies in the near areas of the best spectral approximations theory. At the moment, the analysis of such connections is not yet complete—in particular, towards the research presented in publications from recent years [10,11].
Author Contributions
Investigation, O.L., R.T.-P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Acknowledgments
We express our appreciation to the reviewers for their valuable comments which improved the quality of our article.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Bergh, J.; Löfström, J. Interpolation Spaces; Springer: Berlin, Germany, 1976. [Google Scholar]
- Peetre, J.; Sparr, G. Interpolation of normed Abelian groups. Ann. Mat. Pura Appl. 1972, 92, 217–262. [Google Scholar] [CrossRef]
- Gorbachuk, M.L.; Hrushka, Y.I.; Torba, S.M. Direct and Inverse Theorems in the Theory of Approximation by the Ritz Method. Ukrainian Math. J. 2005, 57, 751–764. [Google Scholar] [CrossRef]
- Dmytryshyn, M.; Lopushansky, O. On Spectral Approximations of Unbounded Operators. Complex Anal. Oper. Theory 2019, 13, 3659–3673. [Google Scholar] [CrossRef]
- Dmytryshyn, M.; Lopushansky, O. Bernstein-Jackson-type inequalities and Besov spaces associated with unbounded operators. J. Inequal. Appl. 2014, 105, 1–12. [Google Scholar] [CrossRef][Green Version]
- Triebel, H. Interpolation Theory. Function Spaces. Differential Operators; North-Holland Publ.: Amsterdam, The Netherlands, 1978. [Google Scholar]
- Birman, M.S.; Solomjak, M.Z. Spectral Theory of Self-Adjoint Operators in Hilbert Space; Springer: Dordrecht, The Netherlands, 1987. [Google Scholar]
- McLean, W. Strongly Elliptic Systems and Boundary Integral Equations; Cambridge University Press: Cambridge, UK, 2000. [Google Scholar]
- Komatsu, N. A general interpolation theorem of Marcinkiewicz type. Tôhoku Math. J. 1981, 33, 383–393. [Google Scholar] [CrossRef]
- Cui, Y.; Hudzik, H.; Wisla, M. Monotonicity properties and dominated best approximation problems in Orlicz spaces equipped with the p-Amemiya norm. J. Math. Anal. Appl. 2015, 432, 1095–1105. [Google Scholar] [CrossRef]
- Yang, Y. Viscosity approximation methods for zeros of accretive operators. J. Nonlinear Funct. Anal. 2019. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).