On the growth rate of powers of a strongly Kreiss bounded operator on $L^p$-spaces
Loris Arnold, Christophe Cuny

TL;DR
This paper establishes an optimal polynomial bound on the growth rate of powers of strongly Kreiss bounded operators on $L^p$-spaces, utilizing Fourier multipliers and Littlewood-Paley inequalities.
Contribution
It provides the first optimal polynomial growth bound for powers of strongly Kreiss bounded operators on $L^p$-spaces, employing advanced harmonic analysis techniques.
Findings
Optimal polynomial growth bound established
Utilizes Fourier multipliers and Littlewood-Paley inequalities
Advances understanding of operator power behavior on $L^p$-spaces
Abstract
Let be a strongly Kreiss bounded linear operator on . We obtain a bound on the rate of growth of the norms of the powers of . The bound is optimal with respect to the polynomial scale. The proof makes use of Fourier multipliers, in particular of the Littlewood-Paley inequalities on arbitrary intervals as initiated by Rubio de Francia and developed by Kislyakov and Parilov.
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Nonlinear Partial Differential Equations · Advanced Harmonic Analysis Research
On the growth rate of powers of a strongly Kreiss bounded operator on some space
Loris Arnold
Jana i Jedrzeja Śniadeckich, 8
00-656 Warszawa
Poland
and
Christophe Cuny
UMR CNRS 6205, Laboratoire de Mathématiques de Bretagne Atlantique, Univ Brest
Abstract.
Let be a strongly Kreiss bounded linear operator on . We obtain a somewhat optimal control on the rate of growth of the norms ofthe powers. The proof makes use of Fourier multipliers, in particular of Littlewwod-Paley inequalities on arbitrary intervals as initiated by Rubio de Francia and developped by Kislyakov and Parilov.
Key words and phrases:
Kreiss resolvent condition, power-boundedness, mean ergodicity, Cesàro boundedness, Fourier multipliers, Littlewood-Paley inequality
2010 Mathematics Subject Classification:
Primary: 47A35, 42A61
1. Introduction
Let be a bounded operator on a Banach space . We study the growth rate of when , with -finite, under the so-called Strong Kreiss condition. Let us describe the necessary background to state our main result.
In [8], Kreiss introduced the following resolvent condition.
[TABLE]
where and proved that, on a finite dimensional Banach space that condition is equivalent to power-boundedness of , i.e. .
Lubich and Nevanlinna [9], proved that (1) implies that and, by a result of Shields [14], this is optimal.
Later, McCarthy [10] considered the following strengthening of (1)
[TABLE]
known as the strong Kreiss condition (or iterated Kreiss condition).
Lubich and Nevanlinna [9] proved that (2) implies that and they proved that this estimate is best possible for general Banach spaces.
Nevanlinna [12] proved that an operator satisfies the strong Kreiss condition if and only if there exists such that
[TABLE]
When is a Hilbert space, Cohen et al. [5] proved that (3) implies that and that this logarithmic control is best possible under (2) in the Hilbert setting.
They also obtained results in the Hilbert setting under (1), which were generalized to spaces (and more generally, Banach spaces with non trivial type and/or cotype) by the second author [4].
In [4], the situation of strongly Kreiss bounded operators (i.e. operators satisfying (3)) on some space was left open and this is the purpose of the present work to study that situation. We obtain the following.
Theorem 1.1**.**
Let be a strongly Kreiss bounded operator on , . There exists such that for every , setting ,
[TABLE]
Remark. When we recover the optimal result from [5].
Our bound is somewhat optimal, as it follows from the next proposition, based on an example of Lubich and Nevanlinna [9].
Proposition 1.2**.**
For every , there exists a strongly Kreiss bounded operator on and some constant such that for every , .
Actually, we get a single operator acting simultaneously on all , , with the above properties. If is the right shift, then for some Möbius transformation of the unit disk.
Let us also mention that, see Proposition 4.2, when is a positive strongly Kreiss bounded operator on , then it is possible to improve (4), when .
2. Auxilliary results
Through the paper we will denote by the complex numbers of modulus one and by the Haar measure on .
Given a bounded interval , we define an operator by setting
[TABLE]
where .
Recall the defintion of the weak -norm on a measure space
[TABLE]
Proposition 2.1**.**
Let . Let . There exists such that for every finite collection of disjoint intervals of integers,
[TABLE]
Furthermore, there exists such that for every finite collection of (not necessarily disjoint) intervals of integers,
[TABLE]
Proof. For , (5) is the so called Littlewood-Paley-Rubio de Francia inequality, see [13]. Actually, Rubio de Francia proved the result on the real line. The result for the torus (with extensions) appears in Kislyakov-Parilov [7].
Inequality (6) appears in the middle of page 6419 of [7], see also Exercise 4.6.1 (a) page 337 of [6] for a version on the real line.
Then (5) for follows by Marcinkiewicz interpolation, see Theorem 1.3.2 of [6] page 31.
Corollary 2.2**.**
Let . Let . There exists such that for every finite collection of disjoint and consecutive intervals of integers such with , and every ,
[TABLE]
Proof. Clearly, it is enough to assume that is a trigonometric polynomial supported in . Let , with . Notice that and that . We have, by orthogonality, Cauchy-Schwarz inequality and Hölder inequality,
[TABLE]
where we used Proposition 2.1. Then (2.2) follows by taking the supremum over , with . The last estimate follows by using that is subadditive when and Minkowski’s inequality in when .
We deduce the following.
Corollary 2.3**.**
Let . There exists such that for each and each ,
[TABLE]
Proof.
Let and for . By Corollary 2.2 for each and ,
[TABLE]
If , (8) follows Fubini’s Theorem. If (8) follows from Fubini’s Theorem combined with Minkowski’s inequality in . ∎
We conclude this section by a Lemma we will use several times in this paper.
Lemma 2.4**.**
There exists such that for every and every integer ,
[TABLE]
In particular the sequences \Big{(}{\rm e}^{N}\sum_{n-\sqrt{N}\leq k\leq n}\frac{N^{k}}{k!}\Big{)}^{-1}\Big{)}_{N+2-2\sqrt{N}\leq n\leq N} have bounded variations uniformly bounded with respect to .
Proof. The upper bound of (9) follows from Lemma 3.4 of [5] and the lower bound may be proved similarly. Then, (10) follows from the fact that, for , writing , we have
[TABLE]
where we used (9).
3. Proof of Theorem 1.1 and of Proposition
The proof of Theorem 1.1 makes use of Fourier multipliers, see pages 11 and 12 of [4] for a brief description of Fourier multipliers in UMD Banach spaces (in particular in spaces). Actually, we only make use of real valued Fourier multipliers in our proofs and then use Fubini to obtain results for -valued Fourier multipliers.
We shall use in the sequel the terminology of Riesz theorem and Stechkin theorem, already used in [4]. More precisely, let be an UMD space and . We refer as Riesz theorem the following: it exists such that for each interval we have
[TABLE]
And we refer as Stechkin theorem the following: if is a bounded monotone sequence of real numbers, then it exists such that,
[TABLE]
Lemma 3.1**.**
Let be a bounded operator on , . Assume that there exists and , such that for every and every ,
[TABLE]
Then, there exists independent of , and such that, setting , for every and every , we have
[TABLE]
Proof. By Corollary 2.3 and the assumption, for every and every ,
[TABLE]
Let and . By the Riesz theorem, using that and , we infer that
[TABLE]
and the result follows.
Lemma 3.2**.**
Let be a strongly Kreiss bounded operator on , . Assume that there exists a function , such that for every and every ,
[TABLE]
Then, there exists independent of and such that for every and every ,
[TABLE]
Proof. The proof is similar to the one of Lemma 4.7 of [5].
Let and . Firstly since is strongly Kreiss bounded, using assumption (11), we have
[TABLE]
Furthermore, we have
[TABLE]
For every large enough (such that ), using the Riesz theorem, we have
[TABLE]
By Lemma 2.4 (in particular the property of bounded variation) and the Steckin theorem,
[TABLE]
Combining (12) and (13), we get the desired result.
Combining Lemma 3.1 and 3.2, we easily derive the following.
Corollary 3.3**.**
Let be a strongly Kreiss bounded operator on , . Assume that there exists and , , such that for every and every ,
[TABLE]
Then, there exists , independent of and such that for every and every ,
[TABLE]
We are now ready to prove Theorem 1.1.
Proof of Theorem 1.1.
Since is strongly Kreiss bounded, it is known (see pages 1-2 of [5] that there exists such that for every and every ,
[TABLE]
Applying inductively Corollary 3.3 we see that for every , and every ,
[TABLE]
Without loss of generality, we may and do assume that . Let be the integer such that . Then we have and . Moreover, there exists such that
Combining those estimates, we infer that, there exists and such that for every ,
[TABLE]
Using that is strongly Kreiss bounded on , , we obtain a similar estimate for .
Hence, applying once more Lemmas 3.1 and 3.2, we see that there exists (large that the previous ones) such that for every and ,
[TABLE]
and the result follows by taking the supremum over with . ∎
Let us now prove Proposition 1.2. Let and define . Let be the right shift, acting on , . Set .
It has been proved in [9] that is strongly Kreiss bounded on . Their proof works equally to prove that is strongly Kreiss bounded on for every .
Moreover, as noticed in [9], it follows from the book by Brenner, Thomée and Wahlbin [3] that
[TABLE]
for some .
In [9], they refer to Theorem 3.1 page 102 of [3], while the theorem is actually concerned with operators acting on . Now, using techniques from [3], pages 19-29 (in particular the bounds (4.3) page 21), it is possible to adapt the proof of Theorem 3.1 page 102 to our setting.
4. Some particular strongly Kreiss bounded operators
We consider here the case of positive strongly Kreiss bounded operators on (we do not require anymore to be -finite) or absolutely strongly Kreiss bounded operators (on any Banach space). The basic idea used to obtain (4) (in -spaces) has been already used by the first author [1] where Kreiss bounded operators were considered.
Let begin by a general result.
Proposition 4.1**.**
Let and be bounded operator on satisfying that there exists and such that for each ,
[TABLE]
and for every
[TABLE]
. Then, , for some , where .
Proof.
We start with the following observation. For every and ,
[TABLE]
Taking the supremum over of norm 1, using that and assumption (16) , we infer that, for every
[TABLE]
Combining above estimate with (15), we get that
[TABLE]
Iterating the above we get that for every integers ,
[TABLE]
and we conclude as in the proof of Theorem 1.1. ∎
From Proposition 4.1 we deduce a better bound than in Theorem 1.1 for a strongly Kreiss bounded positive operator on when (the cases where and are discussed below).
Proposition 4.2**.**
Let be a positive operator that is strongly Kreiss bounded on , . Then, , for some , where .
The proof is straighforward using following Lemma and the fact that every strongly Kreiss bounded operator satisfies (15) for .
Lemma 4.3**.**
Let . Any positive strong Kreiss bounded operator on satisfies (16) for every .
Proof.
Using the fact that and Lemma 2.4, we see that there exists such that for every and every with ,
[TABLE]
Integrating with respect to and using Strong Kreiss boundedness, we infer satisfies (16) for every with , By linearity (16) it remains true for every . ∎
We turn now to the special case of absolutely strongly Kreiss bounded operator. Let a bounded operator on . We say that is absolutely strongly Kreiss bounded if there exists such that
[TABLE]
Such operator is clearly strongly Kreiss bounded and using Lemma 2.4, for every , it satisfies (16) with . Then we can apply Proposition 4.1 to state that has logarithmic bound.
Proposition 4.4**.**
Let be an absolutely strongly Kreiss bounded operator on . Then, there exists such that
[TABLE]
Remark 4.5**.**
When , the bound (19) is sharp. Indeed according [5, remark 1 page 16], for any there exists an absolutely strongly Kreiss bounded on such that .
We now discuss the case of positive strong Kreiss operator on and -spaces. We refer to [11], Section 2, for more details. A Banach lattice is an -space if the norm is additive on the positive cone on , that is
[TABLE]
that is, the norm is additive on the positive cone of . A Banach lattice is an (AM)-space if the norm on satisfies
[TABLE]
If is an (AM)-space, then is an (AL)-space. It is known that an (AL)-space is isometrically isomorphic to some space and that an (AM)-space with is isometrically isomorphic respectively to some where is a compact space. We are now ready for giving a proof to the following statement.
Proposition 4.6**.**
Let be a positive strongly Kreiss bounded operator on an (AL)-space or an (AM)-space. Then it exists such that
[TABLE]
Remark. By the proposition, since is an (AM)-space, we see that Proposition 4.2 remains true for .
Proof.
If is positive strong Kreiss bounded operator on an (AL)-space, then using (20) it is straighforward that is absolute strong Kreiss bounded and then we can conclude with Proposition 4.1.
If is a positive strongly Kreiss bounded operator on an (AM)-space, then is a positive strongly Kreiss bounded on an (AL)-space, and then we conclude by above. ∎
Remark 4.7**.**
In view of our last section, we can ask whether the bound of Proposition 4.2 can be improved to obtain a logarithmic bound. More precisely for a positive strongly Kreiss bounded operator on with , is there exist such that ?
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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