Restricted weak type on maximal linear and multilinear integral maps.

Similar documents
Mat 1501 lecture notes, penultimate installment

BASIC NOTIONS AND RESULTS IN TOPOLOGY. 1. Metric spaces. Sets with finite diameter are called bounded sets. For x X and r > 0 the set

Week 6 Lectures, Math 6451, Tanveer

Homogeneity properties of subadditive functions

Lemma 1. Suppose K S is a compact subset and I α is a covering of K. There is a finite subcollection {I j } such that

arxiv: v1 [math.fa] 23 Aug 2018

Course 2BA1, Section 11: Periodic Functions and Fourier Series

2M2. Fourier Series Prof Bill Lionheart

Wavelet shrinkage estimators of Hilbert transform

OPERATORS WITH COMMON HYPERCYCLIC SUBSPACES

Homework 5 Solutions

CHAPTER 2 AN INTRODUCTION TO WAVELET ANALYSIS

UNIFORM CONVERGENCE OF MULTIPLIER CONVERGENT SERIES

ANALOG OF HEAT EQUATION FOR GAUSSIAN MEASURE OF A BALL IN HILBERT SPACE GYULA PAP

MARKOV CHAINS AND MARKOV DECISION THEORY. Contents

A CLUSTERING LAW FOR SOME DISCRETE ORDER STATISTICS

Another Class of Admissible Perturbations of Special Expressions

6 Wave Equation on an Interval: Separation of Variables

Smoothness equivalence properties of univariate subdivision schemes and their projection analogues

Maejo International Journal of Science and Technology

RESTRICTED WEAK TYPE VERSUS WEAK TYPE

Product Cosines of Angles between Subspaces

A NOTE ON QUASI-STATIONARY DISTRIBUTIONS OF BIRTH-DEATH PROCESSES AND THE SIS LOGISTIC EPIDEMIC

4 1-D Boundary Value Problems Heat Equation

The Binary Space Partitioning-Tree Process Supplementary Material

WAVELET LINEAR ESTIMATION FOR DERIVATIVES OF A DENSITY FROM OBSERVATIONS OF MIXTURES WITH VARYING MIXING PROPORTIONS. B. L. S.

CS229 Lecture notes. Andrew Ng

ESTIMATES FOR MAXIMAL SINGULAR INTEGRALS

The arc is the only chainable continuum admitting a mean

Problem set 6 The Perron Frobenius theorem.

B. Brown, M. Griebel, F.Y. Kuo and I.H. Sloan

Analysis of Emerson s Multiple Model Interpolation Estimation Algorithms: The MIMO Case

On the commutator of the Marcinkiewicz integral

Interpolation of Sobolev spaces, Littlewood-Paley inequalities and Riesz transforms on graphs

arxiv: v1 [math.pr] 6 Oct 2017

Some Measures for Asymmetry of Distributions

ORTHOGONAL MULTI-WAVELETS FROM MATRIX FACTORIZATION

MIXING AUTOMORPHISMS OF COMPACT GROUPS AND A THEOREM OF SCHLICKEWEI

NIKOS FRANTZIKINAKIS. N n N where (Φ N) N N is any Følner sequence

Lecture Notes 4: Fourier Series and PDE s

4 Separation of Variables

FFTs in Graphics and Vision. Spherical Convolution and Axial Symmetry Detection

K a,k minors in graphs of bounded tree-width *

Theory of Generalized k-difference Operator and Its Application in Number Theory

Transcendence of stammering continued fractions. Yann BUGEAUD

ADELIC ANALYSIS AND FUNCTIONAL ANALYSIS ON THE FINITE ADELE RING. Ilwoo Cho

Strong polyhedral approximation of simple jump sets

An Extension of Almost Sure Central Limit Theorem for Order Statistics

A Brief Introduction to Markov Chains and Hidden Markov Models

A UNIVERSAL METRIC FOR THE CANONICAL BUNDLE OF A HOLOMORPHIC FAMILY OF PROJECTIVE ALGEBRAIC MANIFOLDS

Math 124B January 17, 2012

arxiv: v3 [math.ca] 8 Nov 2018

LECTURE NOTES 8 THE TRACELESS SYMMETRIC TENSOR EXPANSION AND STANDARD SPHERICAL HARMONICS

RELATIONSHIP BETWEEN QUATERNION LINEAR CANONICAL AND QUATERNION FOURIER TRANSFORMS

Eigenvalue Spacings and Dynamical Upper Bounds for Discrete One-Dimensional Schrödinger Operators

ON THE POSITIVITY OF SOLUTIONS OF SYSTEMS OF STOCHASTIC PDES

Global Optimality Principles for Polynomial Optimization Problems over Box or Bivalent Constraints by Separable Polynomial Approximations

Math 124B January 31, 2012

Distributed average consensus: Beyond the realm of linearity

Akaike Information Criterion for ANOVA Model with a Simple Order Restriction

Assignment 7 Due Tuessday, March 29, 2016

QUADRATIC FORMS AND FOUR PARTITION FUNCTIONS MODULO 3

Efficiently Generating Random Bits from Finite State Markov Chains

More Scattering: the Partial Wave Expansion

JENSEN S OPERATOR INEQUALITY FOR FUNCTIONS OF SEVERAL VARIABLES

~, '" " f ' ~ (") ' ~" -~ ~ (, ~)

Research Article Numerical Range of Two Operators in Semi-Inner Product Spaces

The Group Structure on a Smooth Tropical Cubic

Volume 13, MAIN ARTICLES

Some Properties of Regularized Kernel Methods

PHYS 110B - HW #1 Fall 2005, Solutions by David Pace Equations referenced as Eq. # are from Griffiths Problem statements are paraphrased

(f) is called a nearly holomorphic modular form of weight k + 2r as in [5].

Mathematical structure of Positive Operator Valued Measures and Applications

Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications

C. Fourier Sine Series Overview

Bourgain s Theorem. Computational and Metric Geometry. Instructor: Yury Makarychev. d(s 1, s 2 ).

Two Player Non Zero-sum Stopping Games in Discrete Time

THINKING IN PYRAMIDS

Completion. is dense in H. If V is complete, then U(V) = H.

NOISE-INDUCED STABILIZATION OF STOCHASTIC DIFFERENTIAL EQUATIONS

UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS TO DISCRETE MORSE FLOWS

On colorings of the Boolean lattice avoiding a rainbow copy of a poset arxiv: v1 [math.co] 21 Dec 2018

Determinantal point process models on the sphere

How many random edges make a dense hypergraph non-2-colorable?

Input-to-state stability for a class of Lurie systems

Real Analysis Problems

HAMILTON DECOMPOSITIONS OF ONE-ENDED CAYLEY GRAPHS

b n n=1 a n cos nx (3) n=1

ON THE AREA FUNCTION FOR H ( σ p ), 1 p 2. OSCAR BLASCO. Presented by A. PELCZYNSKI

FRIEZE GROUPS IN R 2

Pattern Frequency Sequences and Internal Zeros

STABLE GRAPHS BENJAMIN OYE

arxiv: v2 [math.ca] 30 Aug 2009

Explicit overall risk minimization transductive bound

Weighted norm inequalities for singular integral operators

Module 22: Simple Harmonic Oscillation and Torque

Analytic families of multilinear operators

RIESZ BASES AND UNCONDITIONAL BASES

A. Distribution of the test statistic

STABLE RANDOM FIELDS INDEXED BY FINITELY GENERATED FREE GROUPS 1. INTRODUCTION

Transcription:

Restricted weak type on maxima inear and mutiinear integra maps. Oscar Basco Abstract It is shown that mutiinear operators of the form T (f 1,..., f k )(x) = R K(x, y n 1,..., y k )f 1 (y 1 )...f k (y k )dy 1...dy k of restricted weak type (1,..., 1, q) are aways of weak type (1,..., 1, q) whenever the map x K x is a ocay integrabe L 1 (R n )-vaued function. AMS Subj. Cass: 42B35, 46B70, 42B99 Key words: restricted weak type estimated, mutiinear operators 1 Introduction and the main resut. Throughout the paper 0 < q, p 1,..., p k <,, k, n j and n = n 1 +... + n k. We write y = (y 1,..., y k ) R n = R n 1... R n k and mn (A) denotes the Lebesgue measure in R n. Given a Banach space X we write L 0 (R, X), L p (R, X) and L 1 oc (R, X) for the spaces of (strongy) measurabe functions on R with vaues in X, Bochner p-integrabe functions (0 < p < ) and ocay Bochner integrabe respectivey (we use the notation L 0 (R ), L p (R ) and L 1 oc (R ) if X = C). Let us reca that a mutiinear operator T : L p 1 (R n 1 )... L p k (R n k) L 0 (R ) is continuous if for every measurabe set E R of finite measure there exists a function C E : (0, ) R + with im λ C E (λ) = 0 such that m ({x E : T (f 1,..., f k )(x) > λ f i L p i(r n i) } C E (λ) Partiay supported by Proyecto BMF2002-04013 1

for f i L p i (R n i ), i = 1,..., k. Particuar exampes are the operators of weak type (p 1,..., p k, q), i.e. those for which there exists C > 0 such that m 1/q ({x R : T (f 1,..., f k )(x) > λ} C λ f i L p i(r n i). When the previous estimate hods ony for characteristic functions of measurabe sets, i.e. there exists C > 0 such that m 1/q ({x R : T (χ E1,..., χ Ek )(x) > λ} C λ m ni (E i ) 1/p i for measurabe sets E i in R n i, the operator is said to be of restricted weaktype (p 1,..., p k, q). Lots of exampes in Harmonic Anaysis turn out to be ony of weak type or restricted weak type (see [10]) for some tupes (p 1,..., p k, q). It is we known that interpoation techiques aow then to pass from restricted weak type in two different tupes to strong type estimates in intermediate spaces. In genera inear operators of restricted weak-type (p, q) need not be of weak-type (p, q) (see [9] for the case p > 1). It was first shown by K.H. Moon that convoution and maxima of convoution operators of restricted weak type (1, 1) are aways of weak-type (1, 1). Theorem 1.1 ([8]) Let K j L 1 (R n ) for j. Denote T j (f) = f K j and T (f) = sup j T j (f). If T is of restricted weak type (1, q) for some q > 0 then T is aso of weak type (1, q) with constant independent of the quantities K j 1. Recenty Moon s theorem has been extended to the mutiinear case by L. Grafakos and M. Mastyo. Theorem 1.2 ([5]) Let K j L 1 ((R ) k ) L ((R ) k ) for j. Define T j (f 1,..., f k )(x) = K j (x y 1,..., x y k )f 1 (y 1 )...f k (y k )dy 1...dy k (R ) k and T (f 1,..., f k )(x) = sup j T j (f 1,..., f k )(x) 2

for x R and f i L 1 (R ), i = 1,..., k. If T is of restricted weak type (1,..., 1, q) for some q > 0 then T is aso of weak type (1,...1, q) with constant independent of the quantities K j 1 and K j. Athough the proofs of the previous theorems work the same for a vaues of 0 < q <, I woud ike to point out that that ony the case q 1 is reevant. Proposition 1.3 Let T j : L 1 (R n 1 )... L 1 (R n k ) L 0 (R ) be a sequence of continuous mutiinear operators and set T (f 1,..., f k ) = sup j T j (f 1,..., f k ). If q > 1 and T is of restricted weak type (1,..., 1, q) then T is of weak type (1,..., 1, q). PROOF. It is known that weak L q (R n ) is a compete normed space for q > 1 (see [10]). Hence there exists a norm. L q, (R ) such that g L q, (R ) sup λ>0 λm 1/q ({x R : g(x) > λ}). Therefore, if f i = M i j=1 αi jχ E i j for pairwise disjoint measurabe sets E i j R n i, 1 i k, then λm 1/q C sup j C C ({x R : sup T j (f 1,..., f k )(x) > λ}) j k M i k M i j i =1 k M i j i =1 j i =1 T j (α 1 j 1 χ E 1 j1,..., α k j k χ E k jk ) L q, sup T j (αj 1 1 χ E 1 j1,..., αj k k χ E k jk ) L q, j αj 1 1 αj k k sup T j (χ E 1 j1,..., χ E k jk ) L q, j k M i C αj 1 1 αj k k m n1 (Ej 1 1 )...m nk (Ej k k ) j i =1 = C f i L 1 (R n i). 3

On the other hand, it was shown by M. Akcogu, J. Baxter, A. Beow and R.L. Jones that, in the inear case, if we repace R by Z the Moon s resut is not onger true. Theorem 1.4 ([1]) There exists a countabe set C of probabiity densities on Z such that M C f = sup g C g f for non-negative f 1 (Z) is of restricted weak type (1, 1) but not of weak type (1, 1) Making use of such a construction and the transference principe due to A. Caderón (see [2]), P.H. Hagestein and R.L. Jones have recenty shown the foowing: Theorem 1.5 ([7]) There exists a sequence of transation invariant operators T j acting on L 1 (T) such that T (f) = sup j T j (f) is of restricted weak type (1, 1) but it is not of weak type (1, 1). The operators in [7] are given by T j (f)(e iθ ) = k Z w j (k)f(e i(θ+k) ) for a sequence {w j } of probabiity measures on Z with finite support. In other words, T j (f)(e iθ ) = K j f(e iθ ) = K T j(e i(θ θ ) )f(e i(θ ) ) dθ, where K 2π j = k Z w j(k)δ k M(T). The aim of this paper is to exhibit a genera cass of the continuous mutiinear operators T j : L 1 (R n 1 ).. L 1 (R n k ) L 0 (R ) for which the restricted (1,..., 1, q)-weak type of T (f 1,..., f k ) = sup j T j (f 1,..., f k ) impies the (1,..., 1, q)-weak type of T. We sha restrict ourseves to the cass of operators T j given by T j (f 1,..., f k )(x) = K j (x, y 1,..., y k )f 1 (y 1 )...f k (y k )dy 1...dy k R n where K j : R R n 1... R n 1 C is measurabe. The reader is referred to [3] for some famiies of kernes where the restricted weak type in the inear situation aso impies better estimates. Let us start by mentioning some weak assumptions for the integra above to be we defined for amost a x R. Definition 1.6 Let T : L 1 (R n 1 ).. L 1 (R n k ) L 0 (R ) be continuous mutiinear operator. We sha say that T is an integra operator with kerne 4

K if there exists a measurabe function K : R R n 1... R n k C such that K 0 (x) = K x given by K x (y 1,..., y k ) = K(x, y 1,..., y k ) is strongy measurabe L 1 (R n )-vaued function, i.e. K 0 L 0 (R, L 1 (R n )), and T (f 1,..., f k )(x) = K(x, y 1,..., y k )f 1 (y 1 )...f k (y k )dy 1...dy k R n for amost a x R and f i L (R n i ) for i = 1,..., k. We sha write T = T K. Remark 1.1 If K : R R n 1... R n k C is measurabe and K 0 L p (R, L 1 (R n )) for some 1 p then it foows from Minkowski s inequaity that T K : L 1 (R n 1 )... L 1 (R n k ) L p (R ) is bounded and T K (f 1,..., f k ) L p (R ) K 0 L p (R,L 1 (R n )) ow we state the main resut of the paper: f i L 1 (R n i). Theorem 1.7 Let 0 < q 1 and et T j be a sequence of continuous mutiinear operators from L 1 (R n 1 )... L 1 (R n k ) L 0 (R ) with kernes K j such that K 0 j L 1 oc(r, L 1 (R n )). (1) Let T (f 1,..., f k )(x) = sup j R n K j (x, y 1,..., y k )f 1 (y 1 )...f k (y k )dy 1...dy k for f j L (R n j ), 1 j k. If T is of restricted weak type (1,..., 1, q) then T is of weak type (1,..., 1, q). Let us mention that our resut gives the foowing coroary (which seems to be new even in the inear case) when appied to a singe operator Coroary 1.8 Let 0 < q 1 and et T : L 1 (R n )... L 1 (R n ) L 0 (R n ) be mutiinear with kerne K such that K 0 C(R n, L 1 (R n )). Then T K (f 1,..., f k )(x) = K (R n ) k j (x, y 1,..., y k )f 1 (y 1 )...f k (y k )dy 1...dy k is of restricted weak type (1,..., 1, q) if and ony if it is of weak type (1,..., 1, q). Let us mention some particuar exampes where Coroary 1.8 or its maxima formuation can be appied: 5

Proposition 1.9 Let k 1, n 1 =... = n k = (hence n = k) and et φ L 1 (R n ) and Φ rea vaued function uniformy continuous on R R n. Define K : R R n 1... R n k C by K(x, y 1,..., y k ) = e iφ(x,y 1,...,y k ) φ(x y 1,..., x y k ). Then K 0 : R L 1 (R n ) is uniformy continuous and bounded. PROOF. Ceary K x L 1 (R n ) = φ L 1 (R n ) for a x R n. Given ɛ > 0 take δ > 0 so that e iφ(x,y 1,...,y k ) e iφ(x,y 1,..,y k ) < ɛ whenever x x + k y i y i < δ. Denoting τ xφ(y 1,..., y k ) = φ(x y 1,..., x y k ), if for x x < δ then K x K x 1 φ(x y 1,..., x y k ) φ(x y 1,..., x y k ) dy 1...dy k R + e iφ(x,y 1,...,y k ) e iφ(x,y 1,...,y k ) φ(x y 1,..., x y k ) dy 1...dy k R τ x x φ φ 1 + ɛ φ 1. ow use the fact that x τ xφ is uniformy continuous from R into L 1 (R n ) to finish the proof. In particuar one obtains Theorems 1.1 and 1.2 as particuar cases of Theorem 1.7. 2 Proof of the main theorem. Let us first estabish the approximation emmas to be used in the proof. Denote, as usua, ϕ t (u) = 1 ϕ( u) for u t n t Rn and t > 0. The proof of the foowing resut is the same as in the scaar-vaued case and it is eft to the reader (see [10]). Lemma 2.1 Let X be a Banach space and Φ L 1 (R, X). Let P t denote the Poisson kerne in R, that is P t (x) =. Then t (t 2 + x 2 ) +1 2 Φ t = P t Φ(x) = Φ(x u)p t (u)du C 0 (R, X) L 1 (R, X), R (2) sup Φ t L 1 (R,X) = Φ L 1 (R,X), (3) t>0 6

im t 0 Φ t Φ L 1 (R,X) = 0, (4) im Φ t (x) Φ(x) X = 0 for amost a x R. (5) t 0 Lemma 2.2 Let φ C 0 (R n ) L 1 (R n ), φ 0 and R n φ(y)dy = 1. Let K is a reativey compact set in L 1 (R n ). Then im sup φ t F F L 1 (R n ) = 0. (6) t 0 F K For each t > 0 the famiy {φ t F : F K} is equicontinuous, i.e. given ɛ > 0 there exists δ > 0 such that sup φ t F (y ) φ t F (y) < ɛ, y y < δ. (7) F K PROOF. It is known (see [4], Theorem 4.8.20) that a set K L 1 (R n ) is reativey compact if and ony if K is bounded, where τ y F (y ) = F (y y) and im sup τ y F F L y 0 1 (R n ) = 0, (8) F K im sup M F K y >M F (y ) dy = 0 (9) Using the standard approach one obtains the estimate φ t F (y ) F (y ) F (y y) F (y ) φ t (y)dy y <δ + F (y y) F (y ) φ t (y)dy y δ As usua, this eads to φ t F F L 1 (R n ) τ y F F L 1 (R n )φ t (y)dy + 2 F L 1 (R n ) φ t (y)dy y <δ y δ sup τ y F F L 1 (R n ) + 2 F L 1 (R n ) φ(y)dy. y <δ y δ t 7

Given ɛ > 0, using (8) there exists δ > 0 so that sup sup τ y F F L 1 (R n ) < ɛ/2. y <δ F F For such a δ one has sup φ t F F L 1 (R n ) ɛ/2 + 2 sup F L 1 (R n ) F F F F y δ t φ(y)dy. Taking imit as t 0 one gets (6). To obtain (7) use that F φ t F is continuous from L 1 (R n ) to C 0 (R n ). Hence {φ t F : F K} is reativey compact in C 0 (R n ). Proof of Theorem 1.7. Assume T is of restricted weak type (1,..., 1, q). Let, λ > 0 and et f i 0 be a non-negative simpe functions on R n i for 1 i k and denote f(y) = f 1 (y 1 )...f k (y k ). Let us show that there exists C > 0 (independent of ) m 1/q ({ x : sup T Kj (f 1,..., f k )(x) > λ}) C λ Let t > 0 and 1 j and et us use the notation f i L 1 (R n i) (10) K j, (x, y) = K j (x, y)χ { x } (x), K t,j, (x, y 1,..., y k ) = P t (x u)k j, (u, y 1,..., y k )du. R Consider the Banach space X = L 1 (R n, ) = {(g j ) j=1 : sup g j (y) dy < }, and Φ : R X given by R n Φ (x) = (K 0 j (x)χ { x } ) j=1. (11) From the assumption (1) one has K 0 j, L1 (R, L 1 (R n ))). Hence Φ L 1 (R, X ) and ( K 0 t,j, ) j=1 = P t Φ. 8

Taking into account (5) in Lemma 2.1 one obtains that there exists A R with m (A) = 0 and if x / A then im t 0 R n sup P t K j, (x, y 1,..., y k ) K j, (x, y 1,..., y k ) dy 1...dy k = 0. Therefore, if x / A then im sup t 0 ow, for any η > 0, T Kt,j, (f 1,..., f k )(x) = sup T Kj, (f 1,..., f k )(x) m ({ x : sup T Kj (f 1,..., f k )(x) > η}) = m ({x / A : sup T Kj, (f 1,..., f k )(x) > η}) im inf ({ x : sup T K1/, (f 1,..., f k )(x) > η}). M Let M be fixed. Using (2) in Lemma 2.1 one has that K 0 1/, : { x } L 1 (R n ) is continuous for a 1 j. Hence F i,j, = {( K 1/, ) x : x } is reativey compact in L 1 (R n ) for each 1 j. Seect, for instance, 1 φ(y) = in Lemma 2.2 and define H t (1+ y 2 ) (n+1)/2 (x, y) = φ t ( K 1/, ) x for 1 j. Let us denote T H t (f 1,..., f k )(x) = H(x, t y 1,..., y k )f 1 (y 1 )...f k (y k )dy 1...dy k. R n If 1 j and x then T K1/, (f 1,..., f k )(x) T H t (f 1,..., f k )(x) K 1/, (x, y) H(x, t y) f(y) dy R n f L (R n ) φ t ( K 1/, ) x ( K 1/, ) x L 1 (R n ) For a given ɛ > 0, from (6), there exists t = t(m) > 0 such that sup ( K 1/, ) x φ t ( K 1/, ) x L 1 (R n ) <, x 9 ɛ. f L (R n )

Therefore, for 1 j and x, T K1/, (f 1,..., f k )(x) T H t (f 1,..., f k )(x) < ɛ. (12) On the other hand, from (7) there exists δ > 0 such that sup H(x, t y) H(x, t y ) <, x ɛ, y y < nδ. (13) f L 1 (R n ) ow consider, for 1 i k, R n i = s I s (i) where I s (i) are disjoint cubes with ength side δ (in particuar, m ni (I s (i) ) = δ n i and diam(i s (i) ) < n i δ) and write f i = M i s for some α s (i) > 0. Denote α (i) = f i. Since α (i) s s=1 α(i) χ I (i) s α (i) and the Lebesgue measure is non-atomic we can then find J s (i) I s (i) such that α (i) m ni (J s (i) ) = α s (i) m ni (I s (i) ) = α s (i) δ n i. Hence, denoting E (i) = M i s=1j s (i) and E = E (1)... E (k), one gets f i 1 = α (i) m ni (E (i) ) and f 1 = α (1)...α (k) m n (E). Let us write I (j1,...,j k ) = I (1) j 1... I (k) j k and J (j1,...,j k ) = J (1) j 1... J (k) j k for 1 j M and 1 k. One has = T H t (f 1,..., f k )(x) T H t (α (1) χ E (1),..., α (k) χ E (k))(x) = M 1 j 1 =1... M k j k =1 ( α (1) j 1...α (k) j k T H t (χ I (1) j 1,..., χ I (k) j k )(x) ) α (1)...α (k) T H t (χ (1) J,..., χ (k) j J )(x) 1 j k M 1 M k ( =... α (1) j 1...α (k) j k H(x, t y)dy j 1 =1 j k =1 α (1)...α (k) J (j1,...,j k ) I (j1,...,j k ) ) H(x, t y)dy ow, denoting α (j1,...,j k ) = α (1) j 1...α (k) j k and α = α (1)...α (k) one has that 10

α (j1,...,j k )δ n = α (j1,...,j k )m n (I (j1,...,j k )) = αm n (J (j1,...,j k )). Therefore = = T H t (f 1,..., f k )(x) T H t (α (1) χ E (1),..., α (k) χ E (k))(x) = M 1 M k ( 1... α (j1,...,j k )m n (I (j1,...,j k )) H m j 1 =1 j k =1 n (I (x, t y)dy (j1,...,j k )) I (j1,...,j k ) 1 ) H m n (J (x, t y)dy (j1,...,j k )) M 1 j 1 =1... M k j k =1 J (j1,...,j k ) α (j1,...,j k )m n (I (j1,...,j k )) ( 1 m n (I (j1,...,j k ))m n (J (j1,...,j k )) I (j1,...,j k ) J (j1,...,j k ) (H t (x, y)dy H t (x, y )dydy ) ow observe that y I (j1,...,j k ) and y J (j1,...,j k ) then y y < nδ. Hence (13) shows that, for 1 j and x, = T H t (f 1,..., f k )(x) αt H t (χ E (1),..., χ E (k))(x) M 1 j 1 =1... M k j k =1 α (j1,...,j k )m n (I (j1,...,j k )) ( 1 m n (I (j1,...,j k ))m n (J (j1,...,j k )) ɛ ( M i ) α (i) j f i m(i (i) j i ) 1 ɛ f 1 j i =1 f i 1 = ɛ. I (j1,...,j k ) J (j1,...,j k ) Therefore, using (12) and the previous estimate one gets m ({ x : sup T K1/, (f 1,..., f k )(x) > λ + 3ɛ} m ({ x : sup T H t (f 1,..., f k )(x) > λ + 2ɛ}) H t (x, y) H t (x, y ) dydy ) m ({ x : sup T H t (α (1) χ E (1),..., α (k) χ E (k))(x) > λ + ɛ} m ({ x : sup T K1/, (χ E (1),..., χ E (k))(x) > λ α }. 11

From the restricted weak type assumption we concude that m ({ x : sup T K1/, (χ E (1),..., χ E (k))(x) > λ α } m ({ x : sup T Kj (χ E (1),..., χ E (k))(x) > λ 2α } + m ({ x : P 1/M Φ (x) Φ (x) X > λ 2α } m ({ x : sup T Kj (χ E (1),..., χ E (k))(x) > λ 2α } + 2α λ P 1/M Φ Φ L 1 (R,X ) C αq λ q mq n(e) + 2α λ P 1/M Φ Φ L 1 (R,X ) = C f q L 1 (R n ) λ q + 2α λ P 1/M Φ Φ L 1 (R,X ). Taking im inf M and combining a the previous estimates one gets m 1/q ({ x : sup T Kj (f 1,..., f k )(x) > λ + 3ɛ} C f L 1 (R n ). λ q Finay, since ɛ > 0 is arbitrary one gets (10). Using that { x : sup T Kj (f 1,..., f k )(x) > λ} is an increasing sequence, one concudes k m 1/q ({x R : T (f 1,..., f k )(x) > λ} C f i L 1 (R n i) λ (14) for a simpe functions f i 0, 1 i k. Let us now extend (14) for integrabe functions f i. Let f i 0 be an arbitrary integrabe function in L 1 (R n i ) with f i 1 = 1 for i = 1,.., k. For each, j denote C j, (λ) = sup m ({ x : T Kj (g 1,..., g k )(x) > λ}. g i L 1 (R n i ) =1 Given ɛ > 0 there exists λ 0 > 0 such that C j, (η) < 1 j. ɛ k for η > λ 0 and 12

f (i) On the other hand, for each 1 i k, we can find a simpe (i) 0 such that f f i and f i f (i) L 1 (R n i) < ɛ λ 0. Denote and, for 2 i, B (i) B (1) j () = {x R : T Kj (f 1 f (1), f 2,..., f k ) > ɛ}, j () = {x R : T Kj (f (1) (i 1),...f, f i f (i), f i+1,..., f k ) > ɛ}. Set B (i) () = j=1b (i) j () and B() = k B (i) (). ote that m (B()) Since j=1 j=1 k m (B (i) j ()) k i 1 C j, (ɛ/ f (j) L 1 (R nj ) f i f (i) L 1 (R n i)) < ɛ. j=1 T Kj (f 1,..., f k ) = T Kj (f 1 f (1), f 2,..., f k ) k 1 + T Kj (f (1) (i 1),..., f, f i f (i), f i+1,..., f k ) i=2 + T Kj (f (1) then, for each x / B(), one has Therefore + T Kj (f (1) (k),..., f ), sup T Kj (f 1,..., f k )(x) sup (k 1),..., f, f k f (k) ) T (f (1) T Kj (f (1) (k),..., f )(x) + kɛ (k),..., f )(x) + kɛ. 13

m ({x R : sup T Kj (f 1,..., f k )(x) > λ + kɛ}) m ({x / B() : sup T Kj (f 1,..., f k )(x) > λ} + m (B()) m ({x / B() : T (f (1) (k),..., f )(x) > λ} + ɛ ( C f (i) λ L 1 (R n i)) q + ɛ Cq λ (1 + ɛ ) qk + ɛ. q λ 0 Finay using the fact sup T Kj (f 1,..., f k ) sup +1 T Kj (f 1,..., f k ) and mutiinearity we concude that m 1/q ({x R : T (f 1,..., f k )(x) > λ}) C λ f i L 1 (R n i) for non negative integrabe functions f i. The case of compex-vaued functions in now immediate using the mutiinearity of the operators. References [1] M. Akcogu, J Baxter, A. Beow, R.L. Jones On restricted weak type (1,1): the discrete case Israe J. Math. 124 (2001), 285-297. [2] A. P. Caderón Ergodic theory and transation invariant operators Proc. at. Acad. Sci. U.S.A. 59 (1968), 349-353. [3] M. J. Carro From restricted weak type to strong type estimates. J. London Math. Soc. (2) 70 (2004), 750-762. [4]. Dunford, J.T. Schwartz Linear operators, Part I, John Wiey and sons. ew York, 1958. [5] L. Grafakos, M. Mastyo, Restricted weak type versus weak type, Proc. Amer. Math. Soc. 133(4) (2005), 185-190. 14

[6] L. Grafakos, R. Torres, Mutiinear Carderón-Zygmund theory, Adv. in Math. 165 (2002), 124-164. [7] P.A. Hagestein, R.L. JonesOn restricted weak type (1,1):The continuous case, Proc. Amer. Math. Soc. 133(1) (2005), 148-152. [8] H.K. Moon, On restricted weak type (1,1), Proc. Amer. Math. Soc. 42 (1974), 148-152. [9] E.M. Stein, G. Weiss An extension of a theorem of Marcinkiewicz and some of its appications, J. Math. Mech. 8 (1959), 263-284. [10] E.M. Stein, G. Weiss Introduction to Fourier Anaysis on Eucidean Spaces, Princeton Univ. Press, Princeton, J, 1971. [11] A. Zygmund, Trigonometric series, Cambrigde Univ. Press, ew York, 1959. Departamento de Anáisis Matemático Universidad de Vaencia 46100 Burjassot Vaencia Spain obasco@uv.es 15