ISSN: 1402-1757 ISBN 978-91-7439-XXX-X Se i listan och fyll i siffror där kryssen är

LICENTIATE T H E SI S Aigerim Kopezhanova Relations Between Functions from some Lorentz fromsome BetweenCoefficients KopezhanovaFunctions Relations Fourier Type Aigerim their of Summability and Spaces

Department of Mathematics

ISSN: 1402-1757 ISBN 978-91-7439-170-1 Relations between Functions from some

Luleå University of Technology 2010 Lorentz Type Spaces and Summability of their Fourier Coefficients

Aigerim Kopezhanova

Relations between Functions from some Lorentz Type Spaces and Summability of their Fourier Coefficients

Aigerim Kopezhanova

Department of Mathematics Lule˚a University of Technology SE-971 87 Lule˚a, Sweden [email protected] Key words: Lorentz spaces, summability of Fourier series, inequalities, orthonormal bounded systems, regular systems, quasi-monotone functions, generalised monotone sequences.

Printed by Universitetstryckeriet, Luleå 2010

ISSN: 1402-1757 ISBN 978-91-7439-170-1 Luleå 2010 www.ltu.se Abstract

This Licentiate Thesis is devoted to the study of summability of the Fourier coefficients for functions from some Lorentz type spaces and contains three papers (papers A - C) together with an introduction, which put these papers into a general frame. Let Λp(ω),p>0, denote the Lorentz spaces equipped with the (quasi) 1 1 p ∗ p dt f Λp(ω) := (f (t)ω(t)) 0 t for a function f on [0,1] and with ω positive and equipped with some addi- tional growth properties. In paper A some relations between this quantity and some corresponding sums of Fourier coefficients are proved for the case with a general orthonormal bounded system. Under certain circumstances even two-sided estimates are obtained. In paper B we study relations between summability of Fourier coefficients and integrability of the corresponding functions for the generalized spaces Λp(ω) in the case of a regular system. For example, all trigonometrical systems, the Walsh system and Prise’s system are special cases of regular systems. Some new inequalities of Hardy-Littlewood-P´olya type with respect to a regular system for the generalized Lorentz spaces Λp(ω) are obtained. It is also proved that the obtained results are in a sense sharp. The following inequalities are well-known: ∞ p c f ≤ kp−2|a |p ≤ c tf p , for 1

iii iv Preface

This Licentiate thesis contains the following papers:

[A] A. Kopezhanova and L.-E. Persson, On summability of the Fourier coefficients in bounded orthonormal systems for functions from some Lorentz type spaces, Eurasian Mathematical Journal, 1 (2010), No. 2, 76-85.

[B] A. Kopezhanova, E. Nursultanov and L.-E. Persson, Relations between summability of the Fourier coefficients in regular systems and functions from some Lorentz type spaces, Proc. Razmadze Math. Inst., 152 (2010), 73-88.

[C] A. Kopezhanova, Some new results concerning the Fourier coefficients in Lorentz type spaces, Research report 5, Department of Mathematics, Lule˚a University of Technology, (15 pages), 2010.

These publications are put to a more general frame in an introduction, which also serves as a basic overview of the field. Some of the results in the papers [A]-[C] are strongly influenced by the following paper:

[D] A. Kopezhanova, E. D. Nursultanov and L.-E. Persson, On summabi- lity of the Fourier coefficients for functions from some Lorentz type spaces, Research report 8, Department of Mathematics, Lule˚a University of Tech- nology, (27 pages), 2009.

v vi Acknowledgement

I thank my main supervisors Prof. Lars-Erik Persson (Department of Ma- thematics, Lule˚a University of Technology, Sweden) and Prof. Erlan Nur- sultanov (Eurasian National University, Kazakhstan) for guiding me in this fascinating field of mathematics, for giving encouragement and support in times of need and for always showing a generous attitude towards their stu- dents. I also thank Prof. Ryskul Oinarov (Eurasian National University, Kaza- khstan), Prof. Lech Maligranda (Department of Mathematics, Lule˚a Univer- sity of Technology, Sweden), Prof. Nazerke Tleukhanova (Eurasian Natio- nal University, Kazakhstan), Dr. Niklas Grip (Department of Mathematics, Lule˚a University of Technology, Sweden) and Dr. Kuanush Bekmaganbe- tov (Moscow State University (Kazakh branch), Kazakhstan) for generously sharing their valuable knowledge in the field with me and for their constant support during my studies. Moreover, I thank PhD students John Fabricius (Department of Mathematics, Lule˚a University of Technology, Sweden) and Yulia Koroleva (Moscow State University, Russia) for helping me with many practical things. Furthermore, I thank everyone at the Department of Mathematics at Lule˚a University of Technology for their friendly attitude to me and for the inspiring atmosphere. This research has been done within the frame of the general agreement between Eurasian National University in Astana, Kazakhstan, and Lule˚a University of Technology in Sweden concerning research and PhD education in mathematics. We thank both these universities for financial support, which made this cooperation possible. Finally, I thank my family for all support and just being there.

vii

Introduction

Let f be a measurable function on a (Ω,μ), where μ is an additive positive measure. The distribution function m(σ, f) and the nonincreasing rearrangement f ∗ of a function f are defined as follows: m(σ, f):=μ {x ∈ Ω:|f(x)| >σ} , f ∗(t) := inf {σ : m(σ, f) ≤ t} .

Let 1 ≤ p ≤∞and 0

Note that for the case p = q the Lpq spaces coincide with the usual Lp– spaces equipped will the norms f Lp (quasinorms for 0

ix x are called the Fourier coefficients of the function f with respect to the system { }∞ Φ= ϕn n=1. In 1926 the following inequalities by Hardy-Littlewood with respect to the trigonometrical system were established (see e.g. [15], [17], [18] and [55]): If 2 ≤ p<∞, then ∞ p ≤ p−2| |p f Lp[0,1] c1 k ak . (0.3) k=1 If 1

Here and in the sequel ci,i∈ Z+, denote positive constants dependent on p but not dependent an the involved function f. The constants need not to be the same in different occurances. In 1931 these inequalities were established for the uniform orthonormal bounded system by P´olya ( see e.g. [20], [40] and [55]): { }∞ Theorem 0.1. Let ϕk k=1 be the orthonormal system on [a, b] such that |ϕk(x)|≤M for all k ∈ N and x ∈ [a, b]. Then the following estimates hold: 1)   1 ∞ p 2−p p p−2 p |ak| k ≤ c1M fp, k=1 where 1

  1 ∞ p p p−2 |ak| k < ∞ k=1  ∈ p n and the function f L [a, b], is given by the formula f = limn→∞ k=1 akϕk. p−2 p−2 Remark 0.1. The weight k can be replaced by uk in the case when the { }∞ sequence uk k=1 consists of positive numbers uk satisfing −2 ≤ uk B/z uk>z for all z>0 (see [15]). xi

Many mathematicians have been interested in this type of questions. Therefore a lot of different results on the Hardy-Littlewood-P´olya type in- equalities have been obtained. In this introduction we will present some of the most important of these results. In 1937 Marcinkiewicz and Zygmund [35] obtained an estimate for the norm in Lq[0, 1] of the sum of the series ∞ ≤ { } n=1 cnϕn(x) under the condition that ϕn(x) ∞ Mn, where Mn is a monotone increasing sequence. A generalizations of the Marcinkiewicz - Zygmund theorem and of several related results were established in [25]. The proofs were based on some ele- mentary numerical inequalities. Several analogous estimates for Orlicz classes ϕ(L) were proved in the case of orthonormal systems of bounded functions. Also necessary and sufficient conditions were derived for imbedding into ϕ(L) of classes of functions with a given majorant of best approximations in Lp in the trigonometric system. In [16] some analogues of the Hardy-Littlewood inequalities with respect to the Haar and Walsh systems were obtained. Moreover, in [37] the theorem of Hardy - Littlewood for Walsh series in a more general setting was proved. The properties of a class of periodic multiplicative orthonormal systems on [0,1] were studied in [53]. Some theorems concerning the quantitative properties of these systems were proved. In particular, completeness of the systems was discussed together with an application concerning the represen- tation of a given function in the form of a Fourier series. In [7] the author considered different conditions on the coefficients of dou- ble Fourier series which lead to the Fourier series of functions f ∈ Lp(0, 2π). It was proved that some of these results cannot be improved. In [36] the author extended to two dimensions results obtained by Hardy and Littlewood, Stechkin and himself to the case with cosine, sine and Walsh series with monotone coefficients. Let smn(x, y) be the rectangular partial sums of a double cosine series whose coefficients {ajk} satisfy ajk ≥ 0, ajk ≥ aj+1,k,ajk ≥ aj,k+1, and ajk + aj+1,k+1 ≥ aj+1,k + aj,k+1. Denote by

  1 p p p−2 p−2 Sp = |ajk| (j +1) (k +1) . j,k

| | ≤ ≥ → It was shown that supm,n smn p c1Sp,p 1. If, in addition, ajk 0 as max(j, k) →∞, and if the sum f of the double cosine series belongs to  1 p p p−2 p ≤ L for some p>1, then j,k ajk(jk) c1 f p,p>1. For the case ≥ p q ≥ p =1, it was proved that if ajk 0, then supp,q s2 ,2 1 c2S1. Similar results were proved for double sine and Walsh series. xii

In [23] the author dealt with a generalization of the well-known Hardy- Littlewood-P´olya inequality to dimensions n ≥ 2. In particular, in this con- nection it was proved that |u(x)|p p p |∇u|p dx ≤ dx, (0.5) k+2 k−p+2 Rn |x| |n − k − 2| Rn |x| where p is a real number ≥ 2,x∈ Rn, |x| is the Euclidean norm of x in Rn, and u belongs to a proper function space. It was also included a construction of a counterexample that, for certain exponents and consequently in some spaces, such an extension is impossible. Inequalities of the form (0.5) are of extremely great independent interest. Weighted forms of (0.5) are usually called Hardy type inequalities and a lot of information can be found in the recent books [30] and [31] and the references given there. In [9] the author discussed classes of periodic functions of m variables that are of piecewise monotonic type. In particular, for such functions, the connections between the property of belonging to Lp, 1 1. The aim of [8] was to derive estimates for the Lp−norm of some trigono- metric polynomials of several variables. Let Q be a trigonometric polynomial, ∈ Zm Q(x)= 1≤nj ≤Mj an exp(i(n, x)) (n =(n1,n2,,nm) , m x =(x1,x2,,xm) ∈ R ). The main result could be formulated as follows: Suppose that an ≥ 0andal ≤ ak if kj ≤ lj for all j, 1 ≤ j ≤ m. Then m | |p ≤ p | | p−2 Q(x) dx C(p, m) an (1 + nj ) [0,2π)m 1≤nj ≤Mj j=1

2m for (m+1)

Theorem 0.2. Let {ϕn} be an orthonormal system of functions on [0, 1] ∗ − 1 1 − 1 ≤ ··· ≤ 2 2 q such that ϕn ∞ M, n =1, 2, . Then cn Cn (log n) f 2q, ··· { ∗ } for every n =2, 3, , where cn is a nonincreasing rearrangement of the Fourier coefficients {cn} of f. xiii

In the second theorem a trigonometric polynomial was constructed such that for ”most” of its coefficients the opposite estimate (with different con- stant) holds. This example showed that the Hausdorff-Young theorem and the Riesz theorem are not valid for f ∈ L2q. The construction of the poly- nomial was based on an interesting generalization of the well-known Rudin- Shapiro polynomials. In [48] the author considered trigonometric cosine and sine series with monotone coefficients. The conditions for the sums of these series to belong to the Lorentz spaces Λp(ω) were found. Under some additional conditions on the function ω the quasinorms of the sums of the series were estimated above and below by expressions involving the coefficients. In [24] some new estimates of the norms of functions in Lorentz spaces Lq,r (q ≥ 2,r>0) were obtained, which are analogous to the estimates given by V. I. Kolyada [25] in the case of Lebesgue spaces. Also some estimates which generalized a well-known theorem of J. Marcinkiewicz and A. Zygmund [35] were obtained.

In [47] the expansions of functions in the space Lp with respect to systems similar to orthogonal ones were studied. The estimates for the coefficients and sufficient conditions on them under which the corresponding expansions converge in Lp were found. These results are analogues of the well-known Hausdorff-Young-Riesz and Hardy-Littlewood-P´olya theorems in the theory of trigonometric and orthogonal series. It was shown that the resulting esti- mates are more exact than the classical ones even in the case of orthogonal systems. In [34] the author studied the convergence of Fourier series in the Lorentz 1 spaces Λp( ψ ), where ψ satisfied certain growth properties. In particular, it was proved that the Fourier series of any f ∈ Λ ( 1 )convergestof in the p ψ  T ψ(τ) norm of Lorentz spaces Λψψ,p where ψ(t)ψ(t)= t τ dτ. In [1] an interpolation theorem for a class of network spaces was proved. In terms of Fourier-Haar coefficients the authors obtained a test for a function to belong to the network space Np,q(M), where 1

In [13] the convergence results for trigonometric series in Lp-spaces on one-dimensional and n-dimension torus were studied. The sufficient condi- tions for these results to hold as well as criteria were derived for series with general monotone coefficients. Moreover, a Hardy-Littlewood type theorem was obtained for multiple series. Finally, several corollaries, in particular, concerning u−convergence were presented. (One can find the definition of u−convergence e.g. in [13]). The aim of [32] was to generalize two fundamental theorems of Boas. One of them dealt with conditional integrability; another proved pth power integrability. Both theorems considered Fourier series with nonnegative coef- ficients and classical power weight xγ. The weight functions in our theorems aremoregeneral.Theyhaveβ-power-monotone properties. In [12] the sufficient and necessary conditions on the Fourier coefficients n ∞ for functions to belong to the Lebesgue spaces Lp for 1

n Theorem 0.3. Let 1

  − ∞ n p 2 ∈ n p ∞ f Lp iff am mj < m=1 j=1 xv for the following type of series (N = {1, 2, .., n},B⊆ N) ∞   am cos mjxj sin mjxj. m=1 j∈B j∈N−B

n A non-negative sequence a = {am}, m =(m1, ..., mn) ∈ N ,n≥ 1, satisfies the GM n-condition if n am → 0as|m|≡ mj →∞ j=1 and  ∞ n ∞ (n) ∗ ak1,...,ki−1,mi,ki+1,...,kn |Δ am|≤C ak + + mi m=k i=1 mi=ki+1 ⎞ ∞ ∞ ∞ a 1 n a + k ,...,mi,...,mj ,...,k + ... + m1,...,mn ⎠ , mimj m1 ···mn 1≤i

n (n) ≡ j j − Δ Δ and Δ am = am am1,...,mj−1,mj +1,mj+1,...,mn . j=1

It was introduced earlier a continuous scale of monotonicity for sequences (classes Mα,α≥ 0), where, for example, M0 is the set of all nonnegative vanishing sequences, M1 is the class of all nonincreasing sequences, tending to zero, etc. In addition, several results obtained for trigonometric series with monotone convex coefficients onto more general classes were proved. The aim of [10] was to generalize the well-known Hardy-Littlewood theorem for trigonometric  series, whose coefficients  belong to the classes Mα, where ∈ 1 ∈ 1 1 ∈ α 2 , 1 . It was proved that if α 2 , 1 , α

The Hardy-Littlewood-P´olya inequalities were early generalized to hold also for Lorentz spaces by Stein [50] and for the more general Lorentz spaces Λp(ω) the following was proved in 1974 by L.E. Persson, when   ∞ 2πikx + Φ= e k=−∞ is a trigonometrical system (see [43]-[44]):   ∞ Theorem 0.4. ∞ 2πikt + Let 0 0 satisfying that: ω(t)t−δ is an − 1 − increasing function of t and ω(t)t ( 2 δ) is a decreasing function of t, then

  1 ∞ 1 p (a∗ ω(n))p ≤ c f . (0.6) n n 1 Λp(ω) n=1

− 1 − b) If there exists a positive number δ>0 satisfying that: ω(t)t 2 δ is an increasing function of t and ω(t)t−1+δ is a decreasing function of t, then

  1 ∞ 1 p f ≤ c (a∗ ω(n))p , (0.7) Λp(ω) 2 n n n=1 { ∗ }∞ {| |}∞ where an n=1 is the nonincreasing rearrangement of the sequence an n=1 of Fourier coefficients of f on the system Φ. { }∞ We say that the orthonormal system Φ = ϕk(x) k=1 is regular if there exists a constant B such that 1) for every segment e from [0, 1] and k ∈ N it yields that ϕk(x)dx ≤ B min(|e|, 1/k), e 2) for every segment w from N and t ∈ (0, 1] we have that   ∗ ϕk(·) (t) ≤ B min(|w|, 1/t), k∈w   · ∗ where k∈wϕk( ) (t) as usual denotes the nonincreasing rerrangement of function k∈w ϕk(x). This concept was introduced and studied by E. D. Nursultanov [38]. For example, all trigonometrical systems, the Walsh sistem and Prise’s system are regular ones. The papers [38]-[39] by E. D. Nursultanov dealt with the deriving of the following Hardy-Littlewood type inequalities of Fourier coefficients with res- pect to the regular system: xvii

1. If 1

Short description of some of the obtained results: Let Λp(ω),p>0, denote the generalized Lorentz spaces equipped with the (quasi) norm

1 1 p ∗ p dt f Λp(ω) := (f (t)ω(t)) 0 t for a function f on [0,1] and with ω positive and equipped with some addi- tional growth properties. In paper A (see also [29] and c.f. also [27]) some xviii relations between this quantity and some corresponding sums of Fourier coef- ficients are proved for the case with a general orthonormal bounded system. This results generalize the results of L.-E. Persson [43], [44]. In paper B (see also [28] and c.f. also [27]) we study relations between summability of Fourier coefficients and integrability of the corresponding functions for the generalized spaces Λp(ω) in the case of a regular system. For example, all trigonometrical systems, the Walsh system and Prise’s sys- tem are special cases of regular systems. Some new inequalities of Hardy- Littlewood-P´olya type with respect to a regular system for the generalized Lorentz spaces Λp(ω) are obtained. It is also proved that the obtained results are in a sense sharp. In the case when the sequences of coefficients with re- spect to a regular system are generalized monotone then relation is obtained, which is analogous to the well-known theorem of Hardy and Littlewood. The following inequalities are well-known: ∞ p c f ≤ kp−2|a |p ≤ c tf p , for 1

Remark 0.2. Note that to work with weights which will be monotone after multiplication by a power function are well-known in the literature. For ex- ample, in an implicit form such functions were used already in [3] and the classes Q(α0,b0),α0,b0 ∈ R, consisting of all weights ω such that for some α b real numbers ab0,ω(t)t is an increasing and ω(t)t is a de- creasing, were used in the PhD thesis [43] (see also [44]) in a similar context as in this thesis. These classes were later on used in the context of describing Lorentz spaces in terms of Orlicz type (see [41]) and interpolation theory (see [42]), where also some important relations to the notion of index was pointed out. Such classes can be generalized to formally more general classes Q(α0,b0,C0,B0), where C0 and B0 are positive constants and e.g. the condi- tion ω(t)tα is increasing is replaced by the condition

α ≤ α ≤ ω(t1)t1 C0ω(t2)t2 ,t1 t2. xix

It is obvious that each weight λ(t) in the class Q(α0,b0,C0,B0) can be replaced by an equivalent weight ω(t) in the class Q(α0,α1). All results in this thesis are formulated in situations corresponding to a class of type Q(α0,α1) but, according to this remark and our methods of proofs, they could as well have been formulated for weights in a more class of type Q(α0,α1,C0,C1). Recently, such classes of weights were also used in the context of Hardy type inequalities for variable Lp−spaces and Stein type inequalities, see [46]. Finally, it should be mentioned that such classes of quasi-monotone func- tions are not only useful in various situations but also of independent interest, see e.g. the new review article [45] by L.-E. Persson and N. Samko and the references given there.

Remark 0.3. Some questions which are related to some Lorentz spaces Λp(ω) were considered in [6], [21] and [22]. In particular, necessary and sufficient conditions on convexity and concavity, lower and upper estimates and type and cotype of weighted Lorentz spaces Λp(ω) with 1 ≤ p<∞ and a decreasing weight w were presented in [22].In[21] the authors studied order covexity and concavity of quasi-Banach Lorentz spaces Λp(ω), where 0

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[49] B. Simonov and S. Tikhonov, Norm inequalities in multidimensional Lorentz spaces, Math. Scand., 103 (2008), No. 2, 278–294.

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Paper A

EURASIAN MATHEMATICAL JOURNAL ISSN 2077-9879 Volume 1, Number 2 (2010), 76 – 85

ON SUMMABILITY OF THE FOURIER COEFFICIENTS IN BOUNDED ORTHONORMAL SYSTEMS FOR FUNCTIONS FROM SOME LORENTZ TYPE SPACES A.N. Kopezhanova and L.-E. Persson Communicated by V. Guliyev

Key words: summability of Fourier series, inequalities, orthonormal bounded systems, Lorentz spaces. AMS Mathematics Subject Classification: 46E30, 42A16.

Abstract. We denote by Λβ(λ),β>0, the Lorentz space equipped with the (quasi) norm   1 1 β β ∗ 1 dt f Λβ (λ) := f (t)tλ 0 t t for a function f on [0,1] and with λ positive and equipped with some addi- tional growth properties. Some estimates of this quantity and some corre- sponding sums of Fourier coefficients are proved for the case with a general orthonormal bounded system.

1 Introduction

Let f be a measurable function on a measure space (Ω,μ), where μ is an additive positive measure. The distribution function m(σ, f) and the nonincreasing rearrangement f ∗ of a function f are defined as follows:

m(σ, f):=μ {x ∈ Ω:|f(x)| >σ} ,

f ∗(t) := inf {σ : m(σ, f) ≤ t} .

Let 1≤ p ≤∞and 0

1 ∞ q q − ∗ p 1 q ∞ f Lpq := t (f (t)) dt < . (1) 0

1 Note that for the case p = q the Lpq spaces coincide with the usual Lp spaces equipped with the norms f Lp (quasinorms for 0

Let the function f be periodic with period 1 and integrable on [0, 1] and { }∞ let Φ = ϕn n=1 be an orthonormal system on [0, 1]. The numbers 1 an = an(f)= f(x)ϕn(x)dx, n ∈ N, 0 are called the Fourier coefficients of the function f with respect to the system { }∞ Φ= ϕn n=1. We also remark that there are many relations between summability of Fourier coefficients and integrability of the corresponding functions e.g. the following two-sided ones for the trigonometrical system: ∞ p ≤ p−2| |p ≤ ∞ f Lp[0,1] c1 k ak , if 2 p< , (2) k=1 ∞ p ≥ p−2| |p ≤ f Lp[0,1] c2 k ak , if 1

  ∞ Theorem 1. ∞ 2πikt + Let 0 <β< and Φ= e k=−∞ be a trigonometrical system. a) If there exists a positive number δ>0 satisfying such conditions like:

2 − − 1 − λ(t)t δ is an increasing function of t and λ(t)t ( 2 δ) is a decreasing function of t, then   1 ∞ 1 β (a∗ λ(n))β ≤ c f . n n 1 Λβ (λ) n=1 b) If there exists a positive number δ>0 satisfying such conditions like: − 1 − − λ(t)t 2 δ is an increasing function of t and λ(t)t 1+δ is a decreasing function of t, then   1 ∞ 1 β f ≤ c (a∗ λ(n))β , Λβ (λ) 2 n n n=1 { ∗ }∞ {| |}∞ where an n=1 is the nonincreasing rearrangement of the sequence ak k=1 of Fourier coefficients of f with respect to the system Φ.

The aim of this paper is to derive some analogues of the inequalities (2) { }∞ and (3) both in the case of bounded orthonormal systems Φ = ϕn n=1 and for generalized Lorentz spaces of type Λβ(λ).

Conventions. The letter c (c1,c2,etc.) means a constant which does not dependent on the involved functions and it can be different in different oc- curences. Moreover, for C, D > 0 the notation C ≈ D means that there exist positive constants a1 and a2 such that a1D ≤ C ≤ a2D.

2 The main result

Let δ>0andλ(t) be a nonnegative function on [1, ∞) . We define the following classes (see also [3]):

A = {λ(t):λ(t)t−δ is an increasing function and δ  − 1 − λ(t)t ( 2 δ)is a decreasing function ,

− 1 − B = {λ(t):λ(t)t 2 δ is an increasing function and δ  λ(t)t−1+δ is a decreasing function . Then the classes A and B are defined as follows:

A = ∪δ>0Aδ,B= ∪δ>0Bδ. { }∞ In the sequel we denote by Φ= ϕn n=1 a bounded orthonormal system, i.e. |ϕn(t)|≤M, t ∈ [0, 1] ,n∈ N. Our result reads:

3 Theorem 2. Let 0 <β≤∞, and assume that the orthonormal system { }∞ Φ= ϕk k=1 is bounded. (a) If λ(t) belongs to the class A, then

  1 ∞ 1 β (a∗ λ(n))β ≤ c f , (4) n n 1 Λβ (λ) n=1 { ∗ }∞ { }∞ where an n=1 is the nonincreasing rearrangement of the sequence ak k=1 of Fourier coefficients of f with respect to the system Φ. a.e. ∞ (b) If λ(t) belongs to the class B and f = n=1 anϕn, then

  1 ∞ 1 β f ≤ c (a∗ λ(n)β . (5) Λβ (λ) 2 n n n=1

Here the constants c1 and c2 don’t depend on f. Proof. (a) Let λ(t) belongs to the class A. This means that there exists δ>0 − − 1 − such that: λ(t)t δ is an increasing function and λ(t)t ( 2 δ) is a decreasing function. Suppose that the function f satisfies the condition:   1 1 1 β dt β f ∗(t)tλ < ∞. 0 t t

Let f = f0+f1, where f0 and f1 are defined later on. By using the inequalities ≤ a l2∞ c1 f L21 , ≤ a l∞ c2 f L1 and ∗ ≤ ∗ ∗ an(f) a n (f0)+a n (f1),n=1, 2, ..., [ 2 ] [ 2 ] ∗ we estimate an(f) from above as follows:

1 2 1 ∗ ≤ ∗ 2 n 2 ∗ ≤ an(f) a n (f0)+ a n (f1) [ 2 ] n 2 [ 2 ] 1 1 ∗ 1 − 1 ∗ ≤ 2 c3 f0 (t)dt + 1 t f1 (t)dt . 0 n 2 0

Define the functions f0 and f1 in the following way:  − ∗ 1 | |≥ ∗ 1 f(t) f ( n ), as f(t) f ( n ) f0(t)= | | ∗ 1 (6) 0, as f(t)

4  ∗ 1 | | ∗ 1 f ( n ), as f(t) >f ( n ) f1(t)= | |≤ ∗ 1 (7) f(t), as f(t) f ( n ). Now, by using (6) and (7) we obtain that

1 1 ∗ 1 1 n 1 n f ( ) ∗ ∗ − ∗ ∗ − n f0 (t)dt = f (t) f dt = f (t)dt , (8) 0 0 n 0 n   1 1 n 1 1 − 1 ∗ 1 − 1 ∗ 1 − 1 ∗ 2 2 2 1 t f1 (t)dt = 1 t f dt + t f (t)dt =(9) 2 2 n 1 n 0 n 0 n ∗ 1 1 2f ( ) 1 − 1 ∗ n 2 = + 1 t f (t)dt. n 2 1 n n According to (8) and (9) we find that

1 ∗ ∗ n 1 1 1 ∗ f ( ) 2f ( ) 1 − 1 ∗ n n 2 f (t)dt − + + 1 t f (t)dt = n n 2 1 0 n n

1 ∗ n 1 1 ∗ f ( ) 1 − 1 ∗ n 2 = f (t)dt + + 1 t f (t)dt ≤ n 2 1 0 n n 1 n 1 ∗ 1 − 1 ∗ 2 ≤ 2 f (t)dt + 1 t f (t)dt, 2 1 0 n n hence, by making a change of variables, we get that ∞ 1 dt 1 n 1 dt 2 f ∗ + f ∗ ≈ 2 1 − 1 +2 n n t n 2 1 t t 2   ∞ 1 1 n 1 1 ≈ ∗ −2 ∗ f k + 1 f − 1 . (10) k 2 k 2 +2 k=n n k=1 k In view of (10) and Minkowski’s inequality we have that

  1 ∞ 1 β I := (a∗ λ(n))β ≤ n n n=1 ⎛   ⎞ 1 ∞ ∞ β β 1 λ(n) n 1 1 1 ≤ ⎝ ∗ −2 ∗ ⎠ ≤ c4 λ(n) f k + 1 f − 1 k 2 k 2 +2 n n=1 k=n n k=1 k

5 ⎛   ⎞ 1 ∞ ∞ β β 1 1 ≤ c ⎝ λ(n) f ∗ k−2 ⎠ + 5 k n n=1 k=n

⎛ ⎞ 1   β ∞ n β ⎝ λ(n) ∗ 1 1 1 ⎠ + 1 f − 1 := 2 k 2 +2 n n=1 n k=1 k

:= c5 (I1 + I2) . (11) − 1 − − 1 − Firstly, we consider I1.Letε be such that β 1 <ε<δ β 1. We use − 1 − H¨older’s inequality and since β 1 <ε,we have that

⎛ ⎛ ⎞ ⎞ 1   1   1 β β ∞ ∞ ∞   ⎜ 1 β β 1 β β 1 ⎟ I ≤ c ⎝ ⎝λ(n) f ∗ kε · ⎠ ⎠ ≈ 1 6 k kε+2 n n=1 k=n k=n

  1 ∞ β k β β ∗ 1 −β(ε+2) 1 ≈ f kε λβ(n)n β . k n k=1 n=1 Hence, by using the fact that λ(t)t−δ is an increasing function, we obtain that   1 ∞ β 1 λ(k) β k I ≤ c f ∗ kε n(δ−ε−1)β−2 . 1 7 k kδ k=1 n=1 − 1 − Thus, taking into account that ε<δ β 1, and by using some obvious estmates we find that

  1 ∞ 1 λ(k) β 1 β I ≤ c f ∗ ≤ 1 8 k k k k=1

  1 ∞ 1 β k+1 dt β ≤ c f ∗ λ(k) ≤ 9 k t1+β k=1 k

⎛ ⎞ 1     1 ∞   β β k+1 f ∗ 1 λ(t)t−δ dt ∞ 1 λ(t) β dt β ≤ c ⎝ t ⎠ = c f ∗ . 10 t−δ+1 t 10 t t t k=1 k 1 Consequently, we get that

6   1 1 β β ∗ 1 dt I1 ≤ c10 f (t)tλ . (12) 0 t t

1 1 1 1 Let us now estimate I2.Chooseε such that 2 + β <ε< 2 + β + δ. By using 1 1 H¨older’s inequality and that 2 + β <ε,we find that

⎛ ⎞ 1   β ∞ n β ⎝ λ(n) ∗ 1 1 1 ⎠ ≤ I2 = 1 f − 1 2 k 2 +2 n n=1 n k=1 k

⎛ ⎛ ⎞ ⎞ 1   1   1 β β ∞  ⎜ λ(n) n 1 β β n 1 β 1 ⎟ ≤ ⎝ ⎝ ∗ −ε ⎠ ⎠ ≈ c11 1 f k 3 −  2 k ( 2 ε)β n n=1 n k=1 k=1 k

  1 ∞ n 1 β β ≈ λβ(n) · n(ε−1)β−2 f ∗ k−ε = k n=1 k=1   1 ∞ β ∞ β β ∗ 1 − λ (n) 1 − − − = c f k ε n( 2 δ)βn(ε 1)β 2 . 12 1 − k ( 2 δ)β k=1 n=k n − 1 − Hence, by using the fact that λ(t)t ( 2 δ) is a decreasing function and taking 1 1 into account that ε< 2 + β + δ we obtain that

  1 ∞ β ∞ β ∗ 1 − λ(k) − − 1 − ≤ ε (ε δ 2 )β 2 ≤ I2 c12 f k 1 − n k 2 δ k=1 k n=k

  1 ∞ 1 λ(k) β 1 β ≤ c f ∗ ≤ 13 k k k k=1   1 1 β β ∗ 1 dt ≤ c13 f (t)λ t . (13) 0 t t Thus, by combinig (11), (12) and (13) we prove (4). (b) Let λ(t) belongs to the class B. This means that there exists δ>0 − 1 − − such that: λ(t)t 2 δ is an increasing function and λ(t)t 1+δ is a decreasing { }∞ { 0 }∞ { 1 }∞ function. Let a = an n=1 ,a= a0 + a1,a0 = an n=1 ,a1 = an n=1 , where

7 ∗ an, when |an|≥a 1 0 [ t ] an = ∗ (14) 0, when |an|

1 [ t ] ∞ ∗ ≤ ∗ ∗ f (t) M an + M an. n=1 1 n=[ t ]+1 By using this information and Minkowski’s inequality we find that   1 1 β β ∗ 1 dt I0 := f (t)tλ ≤ 0 t t

⎛ ⎛⎛ ⎞ ⎞ ⎞ 1 1 β β [ ] ∞ ⎜ 1 t 1 dt⎟ ≤ M ⎝ ⎝⎝ a∗ + a∗ ⎠ tλ ⎠ ⎠ = n n t t 0 n=1 1 n=[ t ]

⎛ ⎛ ⎞ ⎞ 1 ⎛ ⎛ ⎞ ⎞ 1 1 β β β β [ ] ∞ ⎜ 1 1 t dt⎟ ⎜ 1 1 dt⎟ ≤ M ⎝ ⎝tλ a∗ ⎠ ⎠ +M ⎝ ⎝tλ a∗ ⎠ ⎠ := t n t t n t 0 n=1 0 1 n=[ t ]

:= M (I1 + I2) . − 1 − 1 −1+δ We consider first I1. Choose ε such that β <ε< β + δ. Since λ (t) t is a decreasing function it yields that

⎛ ⎞ 1 ⎛ ⎞β β [ 1 ] ⎜ 1 1 t dt⎟ I = ⎝ ⎝λ( )t a∗ ⎠ ⎠ = 1 t n t 0 n=1

8 ⎛ ⎛ ⎞ ⎞ 1    1 β β −1+δ [ ] ⎜ 1 λ 1 1 t dt⎟ = ⎝ ⎝t t  t a∗ ⎠ ⎠ ≤ 1 −1+δ n 0 t t n=1

⎛ ⎞ 1 ⎛ ⎞β β [ 1 ] ⎜ 1 t dt⎟ ≤ c ⎝ ⎝tδ λ (n) n−1+δa∗ ⎠ ⎠ = 1 n t 0 n=1

⎛ ⎛ ⎞ ⎞ 1 β β [t] ⎜ ∞ dt⎟ = c ⎝ ⎝t−δ λ (n) n−1+δa∗ ⎠ ⎠ ≈ 2 n t 1 n=1

⎛ ⎛ ⎞ ⎞ 1 β β ∞ [k] ⎜ 1⎟ ≈ ⎝ ⎝k−δ λ (n) n−1+δa∗ ⎠ ⎠ . n k k=1 n=1

− 1 − 1 By now using H¨older’s inequality and the fact that β <ε< β + δ, we derive that ⎛ ⎞ 1 ⎛   1   1 ⎞β β ∞ k β k β ⎜  1⎟ I ≤ c ⎝ ⎝k−δ (λ (n) nεa∗ )β n(−1+δ−ε)β ⎠ ⎠ ≈ 1 2 n k k=1 n=1 n=1

  1 ∞ k β β − (−1+δ−ε)β+ 1 ∗ ≈ k δβk β (λ (n) nεa )β = k n k=1 n=1   1   1 ∞ ∞ ∞ β 1 β = c (λ (n) nεa∗ )β k−εβ−2 ≈ (λ (n) a∗ )β . 3 n n n n=1 k=n n=1 Hence,   1 ∞ 1 β I ≤ c (λ (n) a∗ )β . (16) 1 4 n n n=1

Our next aim is to derive a similar estimate for I2.Chooseε>0 such that − 1 − − − 1 1 − 1 2 δ δ β + 2 <ε< β . Since λ(t)t is an increasing function, we obtain the following estimates: ⎛ ⎛ ⎞ ⎞ 1 β β 1 ∞ ⎜ ⎝ 1 ∗ ⎠ dt⎟ I2 = ⎝ tλ an ⎠ = 0 t 1 t n=[ t ]

9 10 A.N. Kopezhanova and L.-E. Persson

⎛ ⎛⎛ ⎞ ⎞ ⎞ 1 β β ∞ − 1 − 1 ⎜ 1 2 δ 2 +δ ⎟ ⎝⎝ ∗ ⎠ 1 1 1 ⎠ dt ≤ = ⎝ an λ t ⎠ 0 1 t t t t n=[ t ] ⎛ ⎛ ⎞ ⎞ 1 β β 1 ∞ ⎜ 1 − − 1 − ∗ dt⎟ ≤ ⎝ 2 δ 2 δ ⎠ c5 ⎝ t λ (n) n an ⎠ = 0 1 t n=[ t ] ⎛ ⎛ ⎞ ⎞ 1 β β ∞ ∞ ⎜ − 1 − 1 − ∗ dt⎟ = c ⎝ ⎝t 2 +δ λ (n) n 2 δa ⎠ ⎠ ≈ 5 n t 1 n=[t]

⎛   ⎞ 1 ∞ ∞ β β − 1 − 1 − ∗ 1 ≈ ⎝ k 2 +δ λ (n) n 2 δa ⎠ . n k k=1 n=k Hence, we have that

  1 ∞ 1 β I ≤ c (a∗ λ(n))β . (17) 2 6 n n n=1 By combining (16) with (17), we obtain (5) and the proof is complete. 2

Remark 1. An analogous theorem was proved in 1974 by L. -E. Persson,   ∞ 2πikx + under the assumption that Φ= e k=−∞ is a trigonometrical system and β<∞ (see [5] and also [6]).

References

[1] J. Bergh and J. L¨ofstr¨om, Interpolation spaces. An Introduction. Grund- lehren der Mathematischen Wissenschaften, Springer Verlag, Berlin- New York, No. 223, (1976).

[2] G.H.Hardy, J.E.Littlewood and G.P´olya, Inequalities 2d ed., Cam- bridge, at the University Press, 1952.

[3] A. N. Kopezhanova, E. D. Nursultanov and L.-E. Persson, On summa- bility of the Fourier coefficients for functions from some Lorentz type spaces, Research Report 8, Department of Mathematics, Lule˚a Univer- sity of Technology, (27 pages), 2009. [4] G. G. Lorentz, Some new functional spaces, Ann. of Math. (2), 51 (1950), 37–55.

[5] L. -E. Persson, Relation between regularity of periodic functions and their Fourier series, Ph.D thesis, Dept. of Math., Ume˚a University, (1974).

[6] L. -E. Persson, Relation between summability of functions and Fourier series, Acta Math. Acad. Sci. Hungar., 27 (1976), No. 3-4, 267–280.

[7] E. M. Stein, Interpolation of linear operators, Trans. Amer. Math. Soc., 83 (1956), 482–492.

A.N.Kopezhanova, Department of Fundamental and Applied Mathematics, Faculty of Mechanics and Mathematics, L. N. Gumilyov Eurasian National University, 5 Munaitpasov St., Astana 010008, Kazakhstan [email protected]

L.-E.Persson, Department of Mathematics, Lule˚a University of Technology, SE–97187 Lule˚a, Sweden [email protected]

Received: 20.04.2010

11

Paper B

RELATIONS BETWEEN SUMMABILITY OF THE FOURIER COEFFICIENTS IN REGULAR SYSTEMS AND FUNCTIONS FROM SOME LORENTZ TYPE SPACES

A. Kopezhanova, E. Nursultanov and L-E. Persson

Abstract. Let Λβ(λ),β>0, denote the Lorentz space equipped with the (quasi) norm

  1 1 β β ∗ 1 dt f Λβ (λ) := f (t)tλ 0 t t for a function f on [0,1] and with λ positive and equipped with some ad- ditional growth properties. Some estimates of this quantity and some cor- responding sums of Fourier coefficients are proved for the case with general orthonormal regular systems. Under certain circumstances even two sided estimates are obtained.

Key words: Lorentz spaces, summability of Fourier series, inequalities, regular systems, quasi-monotone functions, generalized monotone sequences, two-sided estimates.

Mathematics Subject Classification (2010): 46E30, 42A16

1. Introduction

Let f be a measurable function on a measure space (Ω,μ), where μ is an additive positive measure. The nonincreasing rearrangement f ∗ of a function f is defined as follows:

m(σ, f):=μ {x ∈ Ω:|f(x)| >σ} ,

f ∗(t) := inf {σ : m(σ, f) ≤ t} .

Let 0 <β≤∞. Let the function f be integrable on [0, 1] and let λ be a nonnegative function on [1, ∞).

1 The generalized Lorentz space Λβ(λ) consists of the functions f on [0, 1] ∞ such that f Λβ (λ) < , where   1 1 β β ∗ 1 dt ∞ f Λβ (λ) := f (t)tλ for 0 <β< , 0 t t ∗ 1 ∞ f Λ∞(λ) := sup f (t)tλ for β = . 0≤t≤1 t { }∞ Let the function f be periodic with period 1 and let Φ = ϕn n=1 be an orthonormal system. The numbers 1 an = an(f)= f(x)ϕn(x)dx, n ∈ N, 0 are called the Fourier coefficients of the function f with respect to the system { }∞ Φ= ϕn n=1. Some Hardy-Littlewood type inequalities were proved in the { }∞ work [7] for the trigonometrical systems Φ = ϕn n=1: If 1 0 the notation A ≈ C means that there exists positive constants a1 and a2 such that a1A ≤ C ≤ a2A. The paper is organized as follows: In Section 2 we present and discuss our main results. The detailed proofs can be found in Section 3. Section 4 is reserved for some concluding remarks and examples.

2. Main results

Let δ>0andλ(t) be a nonnegative function on [1, ∞) . We define the following classes:

− 1 − 2 δ Bδ = {λ(t):λ(t)t is an increasing function and

2  λ(t)t−1+δis a decreasing function ,

−δ Dδ = {λ(t):λ(t)t is an increasing function and  λ(t)t−1+δis a decreasing function .

The classes B and D are defined as follows: B = ∪δ>0Bδ,D= ∪δ>0Dδ. { }∞ We say that the orthonormal system Φ = ϕk(x) k=1 is regular if there exists a constant B0 such that 1) for every segment e from [0, 1] and k ∈ N it yields that ϕk(x)dx ≤ B0 min(|e|, 1/k), e

2) for every segment w from N and t ∈ (0, 1] we have that   ∗ ϕk(·) (t) ≤ B0 min(|w|, 1/t), k∈w   · ∗ where k∈w ϕk( ) (t) as usual denotes the nonincreasing rerrangement of function k∈w ϕk(x). This concept was introduced and studied by E.D. Nursultanov [8]. Examples of regular systems are all trigonometrical systems, the Walsh sistem and Prise’s system. Our next result concerning regular systems reads:

{ }∞ Theorem 2.1. Let Φ= ϕn n=1 be a orthonormal regular system and let 1 ≤ β ≤∞. If λ(t) belongs to the class D, then

  1   1 ∞ 1 β 1 1 β dt β (a λ(n))β ≤ c f ∗(t)tλ , (2.1) n n t t n=1 0  1 | r | where an =supr≥n r m=1 am(f) , and an(f) are the Fourier coefficients with respect to the system Φ.

For the case λ(t)=tγ Theorem 2.1 implies a corresponding result in [7]. The inequality (2.1) for λ(t)fromtheclassB is reversed to the inequality in Theorem 1 (b) in [5]. In our next statement we shall prove the fact that in (2.1) the expression an on the left hand side cannot in general be replaced | | 1 n | | by the expression a n = n k=1 ak .

3 { 2πikx}∞ ≤ ≤∞ Proposition 2.1. Let Φ= e k=1 and let 1 β . If λ(t) belongs to the class B, then there exists a function f such that

  1 1 1 β dt β f ∗(t)tλ < ∞, 0 t t and   1 ∞ β β 1 |a |λ(n) =+∞, n n n=1  | | 1 n | | where an = n k=1 ak . Here ak = ak(f) are the Fourier coefficients of the function f for the trigonometrical system Φ.

A function ω in R+ is called regular (see [13]) if it satisfies

W (t) ≤ cω(t),t>0, t t where W (t)= 0 ω(τ)dτ and c>0 independent of t. Our next result reads:

∞ { }∞ Theorem 2.2. Let 1 <β< and Φ= ϕn n=1 be a regular system. ∼ ∞ Let f k=1 akϕk and λ(t) belong to the class D. If limn→∞ λ(n)an =0and

  1 ∞ 1 β (|nΔa | λ(n))β < ∞, n n n=1 then f ∈ Λβ(λ) and the following inequality

  1 ∞ 1 β f ≤ c (|nΔa | λ(n))β Λβ (λ) n n n=1 holds, where Δan = an − an+1,n∈ N.

{ }∞ We say that a sequence of complex numbers ak k=1 is generalized mono- tone if there exists some constant M such that, for any k ∈ N, it yields that 1 n |a |≤M a . (2.2) n n k k=1

4 { }∞ Remark 2.1. If the sequence ak k=1is quasi- monotone, i.e. ak > 0, ∈ N ak k and there exists m>0, such that km is monotone nonincreasing, then it is generalized monotone. In fact,   1 k a 1 k a 1 k a ≈ rm k ≤ rm r = a . k k km k rm k r r=0 r=0 r=0

The implication in the reversed direction does not in general hold as our next example shows.

Example 2.1. Let k ∈ N and define  0, if k is even, ak = 1 k , if k is odd.  ≤ 1 k This sequence is not quasi - monotone but obviously ak 2 k m=1 am, k ∈ N, i.e. this sequence is generalized monotone.

{ }∞ We say that the sequence of complex numbers a = ak k=1 satisfies the condition P, if there exists some constant M, which does is not depend of k, such that for any k ∈ N it yields that ∗ ≤ ak Mak.

{ }∞ Remark 2.2. If the sequence ak k=1 is generalized monotone, then it satisfies condition P. ≤ ≤ ∈ N ∗ ≤ ∗ In fact, when 0 ak bk,k , it obviously follows that ak bk, ∈ N | |≤ ∈ N { }∞ k . If ak Mak = bk,k , i.e. ak k=1 is generalized monotone, ∗ ≤ ∗ ∈ N { } then it follows that ak bk,k , but Mak is monotonically nonincreas- ∗ ≤ ∗ ∈ N ing. Therefore ak bk = Mak,k .

Finally, we state the following equivalence result for functions with Fourier coefficients satisfying the condition P.

≤ ≤∞ { }∞ Theorem 2.3. Let 1 β , Φ= ϕk k=1 be a regular system and λ(t) belong to the class B. If the Fourier coefficients of the function f on the system Φ satisfies the condition P, then

  1   1 ∞ 1 β 1 1 β dt β (a λ(n))β ≈ f ∗(t)tλ . n n t t n=1 0

5  1 | r | where an =supr≥n r m=1 am(f) .

3. Proofs

We present the proofs in the order so the corresponding result can be used in later proofs. Proof the Theorem 2.1. Let λ(t)befromtheclassD. This means that there exists δ>0 such that λ(t)t−δ is an increasing function and λ(t)t−1+δ is a decreasing function. Let the function f be such that   1 1 1 β dt β f ∗(t)tλ < ∞. 0 t t Let n ∈ N, and note that 1 r 1 r 1 an =sup am(f) =sup f(t)ϕm(t)dt = r≥n r r≥n r m=1 m=1 0 1 1 r 1 1 =sup f(t) ϕm(t)dt ≤ sup |f(t)||Dr(t)| dt. r≥n r r≥n r 0 m=1 0 By using a well-known inequality concerning nonincreasing rerrangements we obtain that 1 ≤ 1 ∗ ∗ an sup f (t)Dr (t)dt. r≥n r 0 ∗ ≤ 1 Hence, by using the regularity condition that Dr (t) B min(r, t ), we find that 1 1 ∗ 1 ∗ 1 an ≤ B sup f (t) min(1, )dt = B f (t) min 1, dt. r≥n 0 tr 0 tn

Let f(t)=f0(t)+f1(t), where    − ∗ 1 | | ∗ 1 f(t) f ( 2n ), if f(t) >f 2n  f0(x)= | |≤ ∗ 1 0, if f(t) f 2n ,      ∗ 1 | |≥ ∗ 1 f 2n , if f(t) f  2n f1(t)= | | ∗ 1 f(t), if f(t)

6 Then 1 1 ≤ ∗ t 1 ∗ t 1 an f0 min(1, )dt + f1 min(1, )dt = 0 2 tn 0 2 tn

1 1 2 2 ∗ 1 ∗ 1 =2 f0 (s) min(1, )ds +2 f1 (s) min(1, )ds. 0 2sn 0 2sn The first integral can be estimated as follows:

1 2 1 ∗ 1 ≤ ∗ 1 f0 (s) min(1, )ds f0 (s) min(1, )ds 0 2sn 0 2sn

1 2n 1 1 f ∗(s)ds − f ∗ . (3.1) 0 2n 2n Similary, for the second integral we have that

1 2 1 ∗ 1 ≤ ∗ 1 f1 (s) min(1, )ds f1 (s) min(1, )ds = 0 2sn 0 2sn   1 2n 1 1 1 = f ∗ ds + f ∗(s) ds = 2n 1 2sn 0 2n 1 1 1 1 ds = f ∗ + f ∗(s) . (3.2) 2n 2n 2n 1 s 2n By combinig (3.1) and (3.2) we find that   1 2n 1 ∗ 1 ∗ ds an ≤ 2 f (s)ds + f (s) . (3.3) 2n 1 s 0 2n

According to (3.3), we have that

  1 ∞ 1 β J := (a λ(n))β ≤ n n n=1

⎛    ⎞ 1 1 β β ∞ 1 2n 1 ds 1 ≤ 2 ⎝ λ(n) f ∗(s)ds + f ∗(s) ⎠ , 2n 1 s n n=1 0 2n

7 which, by Minkowski’s inequality, gives that ⎛ ⎛   ⎞ 1 ∞ 1 β β ⎜ 2n 1 J ≤ 2c ⎝⎝ λ(n) f ∗(s)ds ⎠ + n n=1 0 ⎞ ⎛   ⎞ 1 ∞ β β 1 1 ds 1 ⎟ + ⎝ λ(n) f ∗(s) ⎠ ⎠ := 2n 1 s n n=1 2n

:= c1 (I1 + I2) . − − 1 − − 1 First we consider I1. Choose ε so that 1 β <ε<δ 1 β . By using elementary estimates we find that

⎛   ⎞ 1 ∞ 1 β β 2n 1 I = ⎝ λ(n) f ∗(s)ds ⎠ = 1 n n=1 0

  1 ∞ ∞ 1 dt β 1 β = λ(n) f ∗ = t t2 n n=1 2n ⎛   ⎞ 1 ∞ ∞ β β k+1 1 dt 1 = ⎝ λ(n) f ∗ ⎠ ≤ t t2 n n=1 k=2n k

⎛   ⎞ 1 ∞ ∞ β β 1 1 k+1 1 ≤ c ⎝ λ(n) f ∗ dt ⎠ . k +1 k2 n n=1 k=2n k

1 4 Here we estimate k2 by (k+1)2 , apply H¨older’s inequality and use that − − 1 − − 1 1 β <ε<δ 1 β to find that

⎛   ⎞ 1 ∞ ∞ β β 1 1 1 I ≤ 4c ⎝ λ(n) f ∗ ⎠ ≤ 1 k k2 n n=1 k=2n+1

⎛   ⎞ 1 ∞ ∞ β β 1 1 1 ≤ 4c ⎝ λ(n) f ∗ ⎠ ≤ k k2 n n=1 k=2n

8 ⎛ ⎛ ⎞ ⎞ 1   1   1 β β ∞ ∞ ∞   ⎜ 1 β β 1 β β 1 ⎟ ≤ 4c ⎝ ⎝λ(n) f ∗ kε · ⎠ ⎠ ≈ k kε+2 n n=1 k=2n k=2n

⎛ ⎞ 1   1 ∞ ∞ β 1 β β 1 ≈ ⎝ λβ(n) f ∗ · kε · (2n)−(1+ε)β−1 ⎠ = k n n=1 k=2n

⎛ ⎞ 1 k ∞ β 1 β 2 λβ(n) = ⎝ f ∗ kε nδβn−(1+ε)β−2⎠ ≤ k nδβ k=1 n=1

⎛ ⎞ 1 k ∞ β 1 β 2 ≤ c ⎝ f ∗ kελ(k)k−δ n(δ−ε−1)β−2⎠ ≈ k k=1 n=1

  1 ∞ 1 λ(k) β 1 β ≈ f ∗ . k k k k=1 Summing up we have proved that

  1 ∞ 1 λ(k) β 1 β I ≤ c f ∗ , 1 k k k k=1 which similary as before implies that

  1 1 β β ∗ 1 dt I1 ≤ c f (t)λ t . (3.4) 0 t t

Now we will derive a similar estimate for I2. Choose ε>0 such that − 1 − − 1 β δ<ε< β , where δ>0. By using elementary estimates and H¨older’s inequality, we see that ⎛   ⎞ 1 β β ∞ 1 ⎝ 1 ∗ ds 1 ⎠ I2 = λ(n) f (s) = 2n 1 s n n=1 2n

  1 ∞ 1 2n 1 dt β 1 β = λ(n) f ∗ = 2n t t n n=1 1

9 ⎛   ⎞ 1 ∞ β β 1 2n k+1 1 dt 1 = ⎝ λ(n) f ∗ ⎠ ≤ 2n t t n n=1 k=1 k ⎛   ⎞ 1 ∞ β β 1 2n 1 1 1 ≤ c ⎝ λ(n) f ∗ ⎠ ≤ 2n k +1 k n n=1 k=1 ⎛   ⎞ 1 ∞ β β 1 2n 1 1 1 ≤ c ⎝ λ(n) f ∗ ⎠ ≤ n k +1 k +1 n n=1 k=1

⎛ ⎛ ⎞ ⎞ 1   1   1 β β ∞ β  ⎜ λ(n) 2n+1 1 β 2n+1 1 β 1 ⎟ ≤ c ⎝ ⎝ f ∗ kε ⎠ ⎠ ≈ n k k(1+ε)β n n=1 k=1 k=1

  1 ∞ β λ(n) β 2n+1 1 β 1 ≈ (2n +1)−εβ−1 f ∗ kε . n k n n=1 k=1 Hence, by interchanging the order of summation and using the assumptions, we find that ⎛ ⎞ 1 β ∞ ∞ ⎜ 1 β λβ (n) n−(1+ε)β−2n(−1+δ)β ⎟ I ≤ c ⎝ f ∗ kε ⎠ ≤ 2 k n(−1+δ)β k=1 k−1 n=[ 2 ]

⎛ ⎞ 1   β ∞ − β ∞ ⎜ 1 k − 1 k − 1 1+δ ⎟ ≤ c ⎝ f ∗ λ kε n−δβ−εβ−2⎠ ≤ k 2 2 k=1 k−1 n=[ 2 ]

  1 ∞ − − − β 1 k − 1 β k − 1 β εβ 1 ≤ c f ∗ λ kε ≈ k 2 2 k=1   1 ∞ 1 k − 1 β β ≈ f ∗ λ k−(β+1) ≤ k 2 k=1 ⎛   ⎞ 1   − β β ∞ k−1 k−1 δ k+1 1 ∗ 1 λ dt ≤ 21+ β ⎝ f 2  2 ⎠ ≤ k−1 −δ β+1 k k t k=1 2

10   1 ∞ k+1 1 β β ≤ c f ∗ λ(t)t−δ tδβ−β−1dt ≈ t k=1 k   1   1 ∞ 1 λ(t) β dt β 1 1 β dt β ≈ f ∗ = c f ∗(t)tλ . 1 t t t 0 t t We conclude that   1 1 β β ∗ 1 dt I2 ≤ c f (t)tλ . (3.5) 0 t t

By combining (3.4) and (3.5) we obtain inequality (2.1) and the proof is complete.

Proof the Proposition 2.1. Let λ(t)befromtheclassB. This means that − 1 − − there exists δ>0 such that λ(t)t 2 δ is an increasing function and λ(t)t 1+δ is a decreasing function. We will use the following well-known lemma of Rudin-Shapiro (see e.g. [2]) for the proof:

{ }∞ ± Lemma 3.1. There exists a sequence εn n=0 , such that εn = 1forall nand N √ int εne < 5 N +1, (4.1) n=0 for t ∈ [0, 2π]andN =0, 1....

{ }∞ Let εn n=0 be the sequence from Lemma 3.1. We will consider fk(t),k∈ Z, defined by

∞ 2k−1 ∞ − 1 1 − 1 1 2 2 k ε eint := 2 2 k f (t). (4.2) k2 n k2 k k=1 n=2k−1 k=1 According to (4.1) we have that k−1 k 2 −1 2−1 1 int int 2 k |fk(t)|≤ εne + εne ≤ 10 · 2 . n=0 n=0

By the Weierstrass theorem the series (4.2) converges uniformly on compact intervals and its sum, which we will denote by f(x), is continuous, one pe- riodical and, thus, bounded, i.e. |f(t)|≤M. Hence, obviously, its Fourier

11 − 1 − 2 k 1 k 1 ≤ ≤ k coefficients an(f)=εn2 k2 , if 2 n 2 , where k =1, 2.... We use that λ(t)t−1+δ is a decreasing function and obtain that

⎛ ⎞ 1   1      β β −1+δ β 1 1 β dt 1 tλ 1 1 dt f ∗(t)tλ ≤ M ⎝ t  t ⎠ ≤ 1 −1+δ 0 t t 0 t t 1 ≤ Mλ(1) t(−1+δ)β−1dt = c<∞. 0 Let   1 ∞ β β 1 |a |λ(n) = I. n n n=1 Since

r n [log2 n] 2−1 [log2 n] 1 1 1 − 1 1 |a | = |a |≥ |a |≥ 2 2 r 2r = n n k n k n r2 k=1 r=1 k=2r−1 r=1 √ [log2 n] √ 1 r 1 1 1 n = 2 2 ≈ 2log2 n = , n r2 n log n n log n r=1 2 2 we have that

⎛ ⎞ 1   1   β ∞ β β ∞ − 1 − β λ(n) 1 λ(n)n 2 δ 1 ≥ √ ⎝ √ ⎠ I c = c − 1 − . n log n n 2 δ n n=1 2 n=1 n n log2 n

− 1 − Moreover, in view of the fact that {λ(n)n 2 δ} is an increasing sequence of n, it yields that

  1 ∞ 1 β c =+∞, n1−δβ(log n)β n=1 2 and we conclude that also I = ∞. The proof is complete.

Proof the Theorem 2.2. At first we show the regularity of the function 1 β (tλ( t )) t of generalized space type Λβ(λ) in the form of the following lemma of independent interest:

12 1 β (tλ( t )) Lemma 3.2. Let λ(t)belongtotheclassD, then the function t is a regular function.

In fact,    β 1 t τλ 1 1 t 1 β I = τ dτ = λ τ β−1dτ, t 0 τ t 0 τ so that, by making a change of variables, we obtain that 1 ∞ 1 ∞ I = (λ(τ))β τ −β−1dτ = (λ(τ))β τ −1+δτ 1−δ−β−1dτ. t 1 t 1 t t

From this and the fact that λ(t) belongs in the class D, so that there exists δ>0thatλ(t)t−δ is an increasing function and λ(t)t−1+δ is a decreasing function. Then we have the following estimate    − β 1 1 β 1 1+δ ∞ tλ 1 I ≤ λ τ −δ−β = C(β,δ) t t t t 1 t t

The Lemma is proved and we return to the proof of the Theorem. According to Lemma 3.2 and Theorem 2.4.12 (ii) in the book [14] the following equality holds:    −1  Λβ (λ)= Λβ (tλ) , if 1 <β<∞. Hence, from the duality representation of the norm of a function f in the space Λβ(λ) (see [14]) we obtain that 1 · f Λβ (λ) =sup f(x) g(x)dx g −1 =1 0 Λβ ((tλ) )

Now we use the Parseval’s equality and find that ∞ f Λβ (λ) =sup anbn, g −1 =1 Λβ ((tλ) ) n=1 and then, by using Abel’s transformation, we have that

N−1 n N − f Λβ =sup (an an+1) bm + aN bm. g −1 =1 Λβ ((tλ) ) n=1 m=1 m=1

13 Next we note that N 1 N a b ≤ λ(N)a Nλ−1(N) b ≤ N m n N m m=1 m=1

≤ λ(N)a g −1 ≤ c λ(N)a g . n Λ∞((tλ) ) 1 n Λβ((tλ)−1)  ∞ N Hence, the sequence aN m=1 bm is bounded so, in particular, we N=1 can pass to the limit N →∞. Therefore, by using our assumption limN→∞ λ(N)aN =0, we obtain that ∞ n − f Λβ (λ) =sup (an an+1) bm. g −1 =1 Λβ ((tλ) ) n=1 m=1  1 | r | Since bn =supr≥n r m=1 bm(f) , we thus obtain that ∞ I ≤ sup |nΔan|bn. g −1 =1 Λβ ((tλ) ) n=1

Therefore, by using H¨older’s inequality, we get that

  1 ∞ β 1 β −1+ ≤ | | β · f Λβ (λ) sup nΔan λ(n)n g −1 =1 Λβ ((tλ) ) n=1

  1 ∞  β − 1 β −1 1 β · bnλ (n)n = n=1   1   1 ∞ β ∞ β    β 1 −1 β 1 =sup (|nΔan|λ(n)) bnλ (n)n . g −1 =1 n n Λβ ((tλ) ) n=1 n=1 Further, by applying the inequality (2.1) from Theorem 2.1, we obtain the ciaimed estimate:

  1 ∞ β ≤ | | β 1 · f Λβ c sup ( nΔan λ(n)) g −1 =1 n Λβ ((tλ) ) n=1

⎛ ⎞ 1      β β 1 λ−1 1 dt · ⎝ g∗(t)t t ⎠ = 0 t t

14   1 ∞ β β 1 | | −1 = c sup ( nΔan λ(n)) g Λβ ((tλ) ) = g −1 =1 n Λβ ((tλ) ) n=1

  1 ∞ 1 β = c (|nΔa |λ(n))β . n n n=1 The proof is complete.

Proof the Theorem 2.3. Since B is a subclass of D the proof in one direction follows from our Theorem 2.1. Since a regular system is bounded we can use Theorem 1 in [4] (see also [5]) to obtain the estimate in the other direction . The proof is complete.

4. Concluding Remarks and Examples

Remark 4.1.The classes Bδ and Dδ are just special cases of the more β general classes Qα studied in [10] in connection to interpolation theory (We ∈ β −α−δ say that λ Qα if, for some δ>0,λ(t)t is an increasing function and λ(t)t−β+δ is a decreasing function). In particular, it was proved there that λ β in the class Qα in fact is equivalent with a function λ0 with upper and lower indices α and β, respectively, and also equivalent to some other classes of index type used in interpolation theory (e.g. the Peetre-Gustavsson ± class.)

Remark 4.2. The assumptions in our theorems can obviously be weak- ened on some points. For example in Theorem 2.1 we only need to assume that λ(t) is equivalent to a function from the class D. For example in the −δ −δ definition of the class Dδ we only need to assume that λ(t)t ≤ c0λ(s)s −1+δ −1+δ and λ(s)s ≤ c1λ(t)t for t ≤ s and some positive constants c0 and c1. Hence, according to our Remark 4.1 this gives us the possibility to formulate our result in terms of indices. We also present some more examples to illustrate the importance of the concept of generalized monotone sequences.

Example 4.1. Let k ∈ N and consider  1 , if 2n−1 ≤ k<2n,n is even, a = k k 0, if 2n−1 ≤ k<2n,n is odd,  1 , if 2n−1 ≤ k<2n,n is odd, b = k k 0, if 2n−1 ≤ k<2n,n is even,n∈ N.

15 { }∞ Then c = ak + ibk k=1 is generalized monotone but each of the sequences { }∞ { }∞ ak k=1 and bk k=1 is not a generalized monotone sequence.

Example 4.2. Let

(−1)k+1 a = ,k∈ N. k kα ≥ { }∞ If α 1, then the sequence a = ak k=1 is generalized monotone but if α<1, then it is not generalized monotone. In fact 1 |a | α  n n n =  = 1 | | 1 n (−1)k+1 k=1 ak n n k=1 kα

n1−α = = B .  k+1 n n (−1) k=1 kα

If α<1, then Bn →∞when n →∞and the condition (2.2) is not fulfilled. If α ≥ 1 then lim Bn, exists and the sequence {Bn} is limited, i.e. n→∞ 0

Remark 4.3. It seems to be possible to study some corresponding ques- tions for Fourier transforms and other related integral transforms. The present authors aim to develop this idea in a forthcoming paper.

Acknowledgement This research has been done within the frame of the general agreement be- tween Eurasian National University in Astana, Kazakhstan and Lule˚a Uni- versity of Technology in Sweden concerning research and PhD education in mathematics. We thank both these universities for financial support, which made this cooperation possible.

References [1] J. Bergh and J. L¨ofstr¨om, Interpolation spaces. An Introduction. Grund- lehren der Mathematischen Wissenschaften, Springer Verlag, Berlin- New York, No. 223, (1976).

16 [2] M. I. Djachenco and P. L. Uljanov, Measure and integral, Moscow ”Fac- torial”, (1998). [In Russian].

[3] G.H.Hardy, J.E.Littlewood and G.P´olya, Inequalities 2d ed., Cam- bridge, at the University Press, 1952.

[4] A. N. Kopezhanova, E. D. Nursultanov and L. -E. Persson, On summa- bility of the Fourier coefficients in bounded orthonormal systems for functions from some Lorentz type spaces, Eurasian National Journal, to appear 2010.(9 pages).

[5] A. N. Kopezhanova, E. D. Nursultanov and L.-E. Persson, On summa- bility of the Fourier coefficients for functions from some Lorentz type spaces, Research Report 8, Department of Mathematics, Lule˚a Univer- sity of Technology, (27 pages), 2009.

[6] G. G. Lorentz, Some new functional spaces, Ann. of Math. (2), 51 (1950), 37–55.

[7] E. D. Nursultanov, Network spaces and inequalities of Hardy-Littlewood type, Mat. Sb., 189 (1998), No. 3, 83–102. [In Russian]

[8] E. D. Nursultanov, On the coefficients of multiple Fourier series from Lp-spaces, Izv. Ross. Akad. Nauk Ser. Mat., 64(2000), No.1, 95–122. [In Russian]; translation in Izv. Math., 64 (2000), No. 1, 93–120.

[9] L. -E. Persson, An exact description of Lorentz spaces, Acta Sci. Math. (Szeged), 46 (1983), No. 1-4, 177–195.

[10] L. -E. Persson, Interpolation with a parameter function, Math. Scand, 59 (1986), No. 2, 199–222.

[11] L. -E. Persson, Relation between regularity of periodic functions and their Fourier series, Ph.D thesis, Dept. of Math., Ume˚a University, (1974).

[12] L. -E. Persson, Relation between summability of functions and Fourier series, Acta Math. Acad. Sci. Hungar., 27 (1976), No. 3-4, 267–280.

[13] S. Reiner, On the duals of Lorentz function and sequence spaces, Indiana Univ. Math. J., 31 (1982), 65–72.

[14] M. J. Carro, J. A. Raposo and J. Soria, Recent Developments in the The- ory of Lorentz Spaces and Weighted Inequalities, Mem. Amer. Math. Soc., 187 (2007), No. 877.

17 A.N.Kopezhanova, Department of Fundamental and Applied Mathematics, Faculty of Mechanics and Mathematics, L. N. Gumilyov Eurasian National University, 5 Munaitpasov St., Astana 010008, Kazakhstan [email protected]

E.D.Nursultanov, Department of Fundamental and Applied Mathematics, Faculty of Mechanics and Mathematics, L. N. Gumilyov Eurasian National University, 5 Munaitpasov St., Astana 010008, Kazakhstan [email protected]

L.-E.Persson, Department of Mathematics, Lule˚a University of Technology, SE–97187 Lule˚a, Sweden [email protected]

18 Paper C

Some new results concerning the Fourier coefficients in Lorentz type spaces

Aigerim N. Kopezhanova Eurasian National University Munaitpasov st., 5 010008 Astana KAZAKHSTAN

1 A.N. Kopezhanova.Some new results concerning the Fourier coefficients in Lorentz type spaces, Lule˚a University of Technology, Department of mathe- matics, Research Report 5 (2010).

Abstract: Let Λp(ω),p>0, denote the Lorentz space equipped with the (quasi) norm 1 1 p ∗ p dt f Λp(ω) := (f (t)ω(t)) 0 t for a function f on [0,1] and with ω positive and equipped with some addi- tional growth properties. Some estimates of this quantity and some corre- sponding sums of Fourier coefficients are proved for the case with a general orthonormal regular system. Under certain circumstances even two sided estimates are obtained.

AMS subject classification (MSC 2000): 46E30, 42A16

Keywords and Phrases: Lorentz spaces, summability of Fourier series, inequalities, regular systems, quasi-monotone functions.

Note: This report will be submitted for publication elsewhere.

ISSN: 1400-4003

Lule˚a University of Technology Department of Mathematics SE-971 87 Lule˚a, SWEDEN

2 1 Introduction

Let f be a measurable function on a measure space (Ω,μ), where μ is an additive positive measure. The nonincreasing rearrangement f ∗ of a function f is defined as follows:

m(σ, f):=μ {x ∈ Ω:|f(x)| >σ} ,

f ∗(t) := inf {σ : m(σ, f) ≤ t} . Let 0

1 q These spaces Λp(ω) coincide to the classical spaces Lqp in the case ω(t)=t , 1

3 following two-sided ones for the trigonometrical system: If 2 ≤ p<∞, then ∞ p ≤ p−2| |p f Lp[0,1] c1 k ak . (1.1) k=1 If 1

4 The main results are presented in Section 2 while the Sections 3 and 4 are used for detailed proofs of these main results. Finally, some concluding results and remarks can be found in Section 5. Conventions The letter c (c1,c2,etc.) means a constant not dependent on the involved functions and it can be different in different occurences. Moreover, for A, B > 0 the notation A ≈ B means that there exists positive constants a1 and a2 such that a1A ≤ B ≤ a2A.

2 The main results

Let δ>0 be a fixed parameter. Consider a nonnegative function ω(t)on [0, 1]. We define the following classes (see also [7], [8] for the definition): D = {ω(t):ω(t)t−δ is an increasing function and δ  ω(t)t−1+δ is a decreasing function .

Then the class D can be defined as follows: D = ∪δ>0Dδ. { }∞ We say that the orthonormal system Φ = ϕk(x) k=1 is regular if there exists a constant B such that 1) for every segment e from [0, 1] and k ∈ N it yields that ≤ | | ϕk(x)dx B min( e , 1/k), e 2) for every segment w from N and t ∈ (0, 1] we have that   ∗ · ≤ | | ϕk( ) (t) B min( w , 1/t), k∈w   · ∗ where k∈w ϕk( ) (t) as usual denotes the nonincreasing rerrangement of function k∈w ϕk(x). This concept was introduced and studied by E. D. Nur- sultanov [11]. For example, all trigonometrical systems, the Walsh system and Prise’s system are regular systems. Our main results concerning regular systems read:  { }∞ a.e. ∞ Theorem 2.1. Let Φ= ϕn n=1 be a regular system and f = n=1 anϕn. Let 1 ≤ p ≤∞. If ω(t) belongs to the class D, then

1   1 ∞ p 1 p dt p 1 f(t)ω (t) ≤ c (a∗ μ(n))p , (2.1) t n n 0 n=1

5 1 t 1 where f(t)= t 0 f(s)ds ,μ(n)=nω( n ) and the constant c does not depend on f. { }∞ Theorem 2.2. Let Φ= ϕn n=1 be a regular system and ω(t) belongs to the class D. Let 1 ≤ p ≤∞and a = {ak}k∈N be Fourier coefficients of the { }∞ functions f with respect to the system Φ= ϕn n=1 and f be differentiable. If lim ω(t)f(t)= ω(1)f(1) < ∞ t→1−0 and 1 1 dt p (tf (t)ω (t))p < ∞, 0 t then a ∈ λp(μ) and the following inequality

  1 ∞ 1 1 p 1 dt p (a∗ μ(n))p ≤ c (tf (t)ω (t))p + ω(1)f(1) n n t n=1 0

1 holds, where μ(n)=nω( n ).

3 Proof of Theorem 2.1

Assume that ω(t) belongs to the class D. This means, that there exists δ>0 such that ω(t)t−δ is an increasing function and ω(t)t−1+δ is a decreasing function. Suppose that the function f satisfies the condition

1 1 dt p (f ∗(t)ω (t))p < ∞ 0 t

a.e. ∞ and f = n=1 anϕn. It yields that t t f(s)ds = anϕn(s)ds = 0 0 ∈N k t ≤ = an ϕn(s)ds n∈N 0

6 t ≤ | | ∈ an ϕn(s)ds , for all t [0, 1]. n∈N 0 According to the regularity assumption we have that t ≤ 1 ϕn(s)ds c min t, . 0 n

Hence, ∞ t ∞ 1 |an| ϕ (s)ds ≤ B |an| min t, ≤ n n n=1 0 n=1 ⎛ ⎞ 1 ∞ [ ] ∞ 1 ⎜t 1 ⎟ ≤ B a∗ min t, ≤ B ⎝ a∗ t + a∗ ⎠ . n n n n n n=1 n=1 1 n=[ t ] Consequently, ⎛ ⎞ 1 t [ t ] ∞ ⎜ ∗ ∗ 1 ⎟ f(s)ds ≤ B ⎝ a t + a ⎠ n n n 0 n=1 1 n=[ t ]+1 andwehavethat 1 1 p dt p f(t)ω (t) ≤ 0 t ⎛ ⎛ ⎛ ⎞⎞ ⎞ 1 1 p p [ t ] ∞ ⎜ 1 ⎜1 ⎜ 1 ⎟⎟ dt⎟ ≤ B ⎝ ⎝ ω(t) ⎝ a∗ t + a∗ ⎠⎠ ⎠ ≤ t n n n t 0 n=1 1 n=[ t ]+1

⎛ ⎛ ⎞ ⎞ 1 ⎛ ⎛ ⎞ ⎞ 1 1 p p p p [ ] ∞ ⎜ 1 ⎜ 1 t ⎟ dt⎟ ⎜ 1 ⎜ 1 1 ⎟ dt⎟ ≤ B ⎝ ⎝ω(t) t a∗ ⎠ ⎠ +B ⎝ ⎝ω(t) a∗ ⎠ ⎠ := t n t t n n t 0 n=1 0 1 n=[ t ]+1

:= B (I1 + I2) . − 1 1 − We consider first I1. Choose a small number ε such that 2+ p +δ<ε

7 ⎛ ⎛ ⎞ ⎞ 1 p [ 1 ] p ⎜ 1 ⎜ t ⎟ dt⎟ I = ⎝ ⎝ω(t) a∗ ⎠ ⎠ = 1 n t 0 n=1

⎛ ⎛ ⎞ ⎞ 1 p [ 1 ] p ⎜ 1 ⎜ω (t) t−1+δ t ⎟ dt⎟ = ⎝ ⎝ a∗ ⎠ ⎠ ≤ t−1+δ n t 0 n=1

⎛ ⎛ ⎞ ⎞ 1 1 p p [ t ] − ⎜ 1 ⎜ 1 1 1+δ ⎟ dt⎟ ≤ ⎝ ⎝t1−δ ω a∗ ⎠ ⎠ = n n n t 0 n=1

    1 − p p ∞ t 1 1 1+δ dt = t−1+δ ω a∗ ≈ n n n t 1 n=1     1 ∞ − p p k 1 1 1+δ 1 ≈ k−1+δ ω a∗ . n n n k k=1 n=1 1 − Next we use H¨older’s inequality and the fact that ε< p 1tofindthat ⎛ ⎛ ⎞ ⎞ 1   1   1 p p ∞ k p p k p 1  1 I ≤ c ⎝ ⎝k−1+δ ω n−εa∗ n(1−δ+ε)p ⎠ ⎠ ≈ 1 1 n n k k=1 n=1 n=1   1 ∞ k p p p − (1−δ+ε)p+ 1 1 − ∗ ≈ k( 1+δ)pk p ω n εa . k n n k=1 n=1 Here we interchange the order of summation and find that

  1 ∞ ∞ 1 p p I ≤ c ω n−εa∗ kεp+p−2 . 1 n n n=1 k=n − 1 Furthemore, by also using that ε> 2+ p + δ, we have that

  1   1 ∞ ∞ 1 p 1 p 1 p I ≤ c ω na∗ = c (μ(n)a∗ )p . (3.1) 1 2 n n n 2 n n n=1 n=1

8 1 − 1 − Next, we estimate I2 in a similar way. Choose ε such that p 1 <ε< p δ. By now using the growth properties of ω(t) we find that

⎛ ⎛ ⎞ ⎞ 1 p p 1 ∞ ⎜ ⎜ 1 ∗ 1 ⎟ dt⎟ I2 = ⎝ ⎝ω (t) an ⎠ ⎠ = 0 t 1 n t n=[ t ] ⎛ ⎛ ⎞ ⎞ 1 p p ∞ ⎜ 1 ⎜ω (t) t−δ 1 a∗ ⎟ dt⎟ = ⎝ ⎝ n ⎠ ⎠ ≤ −δ 0 t t 1 n t n=[ t ] ⎛ ⎛ ⎞ ⎞ 1 p p ∞ ⎜ 1 ⎜ 1 a∗ ⎟ dt⎟ ≤ ⎝ ⎝t−1+δ ω nδ n ⎠ ⎠ = 0 1 n n t n=[ t ]     1 ∞ p p ∞ 1 a∗ dt = t1−δ ω nδ n ≈ n n t 1 n=t     1 ∞ ∞ p p 1 a∗ 1 ≈ k1−δ ω nδ n . n n k k=1 n=k 1 − Next we use H¨older’s inequality and the fact that ε< p δ to find that ⎛ ⎛ ⎞ ⎞ 1   1   1 p p ∞ ∞ p p ∞ p 1  1 ≤ c ⎝ ⎝k1−δ a∗ ω n−ε n(−1+δ+ε)p ⎠ ⎠ ≈ 3 n n k k=1 n=k n=k

  1 ∞ ∞ 1 p p ≈ kεp+p−2 a∗ ω n−ε = n n k=1 n=k   1 ∞ 1 p n p = a∗ ω n−ε kεp+p−2 . n n n=1 k=1 1 − By interchanging the order of summation and using the fact that ε> p 1, we obtain that   1 ∞ 1 p I ≤ c (a∗ μ(n))p . (3.2) 2 4 n n n=1

9 To complete the proof we just combine (3.1) with (3.2).

4 Proof of Theorem 2.2

The condition ω(t) ∈ D implies that there exists δ>0 such that ω(t)t−δ is an increasing and ω(t)t−1+δ is a decreasing function, i.e. μ(n)n−δ is increasing and μ(n)nδ−1 is decreasing. Then the estimate holds: 1 n μp(k) μp(n) ≤ c ,n∈ N. n k n k=1 In fact, 1 n μp(k) 1 n 1 μp(n) ≤ μp(n)n−δ ≈ . n k n k1−δ n k=1 k=1 Next we use Theorem 2.4.12 (ii) in [5] to conclude that the following equality holds:   −1  λp(μ)= λp (μ n) , if 1

10 Therefore, by using H¨older’s inequality, we get that 1 ≤ | | a λp(μ) sup f(1) g(t) dt+ b −1 =1 0 λp (μ n) 1 1  1 dt p 1    dt p + (tf (t)ω(t))p · g(t)ω−1(t)t p . 0 t 0 t Furthermore, by applying the inequality (2.1) from Theorem 2.1, we obtain the following estimate:

1  1    dt p g(t)ω−1(t)t p ≤ 0 t

  1 ∞   1 p 1 p ≤ c b∗ nω−1 = n n n n=1   1 ∞ p    ∗ −1 p 1 = c b nω (n) = cb −1 . n n λp (μ n) n=1

Since limt→1−0 μ(t)f(t)=μ(1)f(1) < ∞, next we note that 1 J := sup μ(1)f(1)μ−1(1) |g(t)|dt = b −1 =1 0 λp (μ n)   =sup μ(1)f(1)μ−1(1)g(1) ≤ b −1 =1 λp (μ n) ≤ sup μ(1)f(1) sup tμ−1(t)g(t) . b −1 =1 t λp (μ n) By using the inequality (2.1) from Theorem 2.1 in the case p = ∞ we obtain that ≤ ∗ −1 ≤ J sup μ(1)f(1) sup bnnμ (n) b −1 =1 n λp (μ n) ⎛ ⎞   1 ∞ p    1 ≤ ⎝ ∗ −1 p ⎠ sup μ(1)f(1) bnnμ (n) = b −1 =1 n λp (μ n) n=1

11

−1 =sup μ(1)f(1) b λp (μ n) = μ(1)f(1). b −1 =1 λp (μ n) The proof is complete.

5 Concluding results and remarks

The notation ω ∈ Q(a0,b0) means that, for some real numbers such that a b ab0,ω(t)t is an increasing, and ω(t)t is a decreasing function of t (see [12] and also [15]). In [15] the following result was established: Proposition 5.1. Let p>0 and let ω be a nonnegative function on [0, ∞) such that ω ∈ Q(1, 1 − p). If a1 ≥ a2 ≥ a3 ≥···→0 and if ∞ f(x)= an cos 2πnx, then n=1 1 1 (f ∗(x))pxp−2ω dx < ∞ 0 x if and only if ∞ ∗ p ∞ (ak) ω(n) < . n=1 Remark 5.1. In particular, when ω(t)=tα,α= p − 2, then we receive the following well-known Hardy-Littlewood result (see [1]): Let 1 0 and let ω be a nonnegative function on [0, ∞) such that ω ∈ Q(1, 1 − p). If f is nonnegative, even and nonincreasing in [0, 1 ], then 2 1 1 (f ∗(x))pxp−2ω dx < ∞ 0 x if and only if ∞ ∗ p ∞ (ak) ω(n) < . n=1

12 α p − Remark 5.2. In particular, for ω(t)=t ,α= q 1 this statement implies the following result by Boas (see [4]): If f(x) ≥ 0 and f is nonincreasing, 1 0, defined by 1 1 q q ωq(f,x)= sup |f(t + u) − f(t)| dt . 0

Proposition 5.3. Let p>1, 1 1, 1

Remark 5.4. Note that to work with weights which will be monotone after multiplication by a power function are well-known in the literature. For ex- ample, in an implicit form such functions were used already in [2] and the classes Q(α0,b0),α0,b0 ∈ R, were used in the PhD thesis [15] (see also [12]) in a similar context as in this paper. These classes were later on used in the context of describing Lorentz spaces in terms of Orlicz type (see [13]) and

13 interpolation theory (see [14]), where also some important relations to the notion of index was pointed out. All results in this paper are formulated in situations corresponding to a class of type Q(α0,α1) but, according to this remarks and our methods of proofs, they could as well have been formulated for weights in a more class of type Q(α0,α1,C0,C1), where C0 and C1 are positive constants. (Here, for example the condition that ω(t)tα is increasing is replaced by the more general α ≤ α ≤ condition ω(t1)t1 C0ω(t2)t2 ,t1 t2). Recently, such classes of weights were also used in the context of Hardy type inequalities for variable Lp−spaces and Stein type inequalities, see [16].

Remark 5.5. It is of interest to generalize Propositions 5.1, 5.2 and 5.3 to more general situations than those discussed in this paper e.g. to cases with more general orthogonal systems involved, e.g. to the Besov type spaces mentioned in Remark 5.3 and for more general weights than those discussed in Remark 5.4. We aim to investigate such questions in a forthcoming paper.

References [1] N.K.Bari, Trigonometric series, Izdat. Fiz.-Mat. Lit., Moscow, 1961. [In Russian] [2] N. K. Bari and S. B. Stechkin, Best approximations and differential prop- erties of two conjugate functions, Trudy Moskov. Mat. Ob˘s˘c, 5 (1956), 483–522. [In Russian] [3] J. Bergh and J. L¨ofstr¨om, Interpolation spaces. An introduction, Grund- lehren der Mathematischen Wissenschaften, No. 223. Springer-Verlag, Berlin-New York, 1976. [4] R.P.Boas, Integrability theorems for trigonometric transforms. Ergeb- nisse der Mathematik und ihrer Grenzgebiete 38, Springer-Verlag, New York Inc., 1967. [5] M. J. Carro, J. A. Raposo and J. Soria, Recent Developments in the The- ory of Lorentz Spaces and weighted inequalities, Mem. Amer. Math. Soc., 187 (2007), No. 877. [6] G. H. Hardy, J. E. Littlewood and G. P´olya, Inequalities, 2nd ed., Cam- bridge University Press, 1952.

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[11] E. D. Nursultanov, On the coefficients of multiple Fourier series from Lp- spaces, Izv. Ross Akad. Nauk Ser. Mat., 64 (2000), No. 1, 95–122. [In Russian]; translation in Izv. Math., 64 (2000), No. 1, 93–120. [12] L. -E. Persson, Relations between summability of functions and Fourier series, Acta Math. Acad. Sci. Hungar., 27 (1976), No. 3–4, 267–280. [13] L. -E. Persson, An exact description of Lorentz spaces, Acta Sci. Math. (Szeged), 46 (1983), No. 1–4, 177–195. [14] L. -E. Persson, Interpolation with a parameter function, Math. Scand., 59 (1986), No. 2, 199–222. [15] L. -E. Persson, Relations between regularity of periodic functions and their Fourier series, Ph.D thesis, Dept. of Math., Ume˚a University, 1974. [16] L. -E. Persson and S. Samko, Some new Stein and Hardy type inequali- ties, to appear in J. Math. Sci., (2010). [17] E. M. Stein, Interpolation of linear operators, Trans. Amer. Math. Soc., 83 (1956), 482–492.

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