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For each α ∈ R, the Sobolev space Wα(Rd) is defined as the space of all tempered distributions u ∈ S0(Rd) such that kukWα = Z Rd (1 + |x|)2α|bu(x)|2dx 1/2 &lt

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http://dx.doi.org/10.5831/HMJ.2013.35.3.435

AN IMPROVEMENT OF THE H ¨ORMANDER-MIKHLIN

MULTIPLIER CONDITIONS

Yaryong Heo

Abstract. We give an Lp Fourier multiplier condition which im- plies the H¨ormander-Mikhlin multiplier theorem.

1. Introduction and statement of results

The Fourier transform of a Schwartz function f on Rd is defined by f (ξ) =b

Z

Rd

e−2πix·ξf (x)dx and its inverse Fourier transform by

F−1[f ](x) = Z

Rd

e2πix·ξf (ξ)dξ.

For each α ∈ R, the Sobolev space Wα(Rd) is defined as the space of all tempered distributions u ∈ S0(Rd) such that

kukWα =

Z

Rd

(1 + |x|)|bu(x)|2dx

1/2

< ∞.

Let m ∈ L(Rd), then for f ∈ S(Rd) the Fourier multiplier operator Tm is defined by

Tdmf = m bf .

Received June 26, 2013. Accepted July 10, 2013.

2010 Mathematics Subject Classification. 42B15.

Key words and phrases. Fourier multiplier.

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A1011889).

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Let ϕ ∈ S(Rd) be a radial function such that supp(ϕ) ⊂ {ξ : 1/2 ≤ |ξ| ≤ 2},b X

s∈Z

ϕ(ξ/2b s) = 1 for all ξ 6= 0.

The H¨ormander-Mikhlin multiplier theorem [6] states that if m ∈ L(Rd) and

(1.1) sup

s∈Z

km(2s·)ϕ(·)kb Wα(Rd) < ∞ for some α > d/2,

then Tmis bounded on Lp(Rd) for all 1 < p < ∞. Let Hs= F−1[m(2s·)ϕ(·)]b then by Plancherel’s theorem the condition (1.1) is equivalent to

(1.2) sup

s∈Z

kHskL2[(1+|x|)dx] := sup

s∈Z

Z

Rd

|Hs(x)|2(1 + |x|)dx

12

< ∞, for some α > d/2. In this paper we give an Lp Fourier multiplier condi- tion which implies the H¨ormander-Mikhlin multiplier theorem.

Theorem 1. Let d ≥ 1. If  > 0 then for 1 < p < ∞ (1.3) kTmf kp ≤ Csup

s∈Z

kHskL1[(1+|x|)dx] kf kp.

By H¨older’s inequality, if α > d2 +  then

(1.4) kHskL1[(1+|x|)dx]≤ Cα,kHskL2[(1+|x|)dx].

Therefore by (1.1), (1.2) and (1.4), Theorem 1 implies the H¨ormander- Mikhlin multiplier theorem.

2. Reductions

Notation. For each k ∈ Z, Dk(Rd) denotes the collection of dyadic cubes Q ⊂ Rd with side-length 2k. Let D = S

k∈ZDk. For each cube Q ⊂ Rd with side-length 2k, we write L(Q) = k. For each cube Q and r > 0, rQ denotes the cube having r times side-length of Q with the same center as Q. The d-dimensional Lebesgue measure of a set E ⊂ Rd will be denoted by |E| or meas(E).

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Let ϕ be a radial Schwartz function such that ϕ is supported inb {ξ : 1/2 < |ξ| < 2} and satisfies

X

s∈Z

[ϕ(2b −sξ)]2 = 1 for all ξ 6= 0.

As in [7], let ψ be a radial Schwartz function with compact support in {|x| < 1/10} and bψ > 0 on {ξ : 1/4 < |ξ| < 4}. Let η = F−1[ϕ( bb ψ)−1].

For each s ∈ Z, let

Hs= F−1[m(2s·)ϕ(·)].b

Now let Ks= 2sdHs(2s·), ψs= 2sdψ(2s·) and ηs = 2sdη(2s·) then

(2.1) Tmf =X

s∈Z

ψs∗ Ks∗ (ηs∗ f ).

Theorem 1 will be proved in Section 3 by using atomic decompositions constructed from Peetre’s maximal square function (cf. [8], [10] and [9]) using ideas from work by Chang and Fefferman [1].

3. Atomic decompositions and proof of Theorem 1

As in [7] we use atomic decompositions constructed from a non- tangential Peetre type maximal square function (cf. [8–10]).

Atomic decompositions

Consider the non-tangential version of Peetre’s maximal square func- tion

Sf (x) = X

s

sup

|y|≤10d·2−s

s∗ f (x + y)|21/2

.

Then kSf kp ≤ Cpkf kp for 1 < p < ∞. So by (2.1), the proof of the Lp boundedness of Tm reduces to

X

s

ψs∗ Ks∗ (ηs∗ f )

p ≤ Csup

s

kHskL1[(1+|x|)dx] kSf kp. For each integer j, we introduce the set

j = {x : Sf (x) > 2j}.

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Let Qsj be the set of all dyadic cubes of side-length 2−s which have the property that |Q ∩ Ωj| ≥ |Q|/2 but |Q ∩ Ωj+1| < |Q|/2. Note that for fixed s, the sets

[

Q∈Qsj

Q, j ∈ Z, are disjoint. We also set

j = {x : M χj(x) > 100−d}

where M is the Hardy-Littlewood maximal operator. Ωj is an open set containing Ωj and |Ωj| ≤ Cd|Ωj|.

Let Wj be the set of all dyadic cubes W such that the 20-fold dilate of W is contained in Ωj and W is maximal with respect to this property.

Clearly, the interiors of these cubes are disjoint, and we shall refer to them as Whitney cubes for Ωj. Observe that {10W : W ∈ Wj} have bounded overlap.

Note that each Q ∈ Qsj is contained in a unique W ∈ Wj. For each W ∈ Wj, set

As,W,j= X

Q∈Qsj Q⊂W

s∗ f )χQ;

note that only terms with L(W ) + s ≥ 0 occur. Since any dyadic cube W can be a Whitney cube for several Ωj, we also define ”cumulative atoms”,

As,W = X

j:W ∈Wj

As,W,j. Note that

ηs∗ f = X

W ∈S

jWj

As,W =X

j

X

W ∈Wj

As,W,j.

Standard facts about these atoms are summarized in the following lemma that is taken from [7].

Lemma 3.1. For each j ∈ Z, the following inequalities hold.

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(3.1) X

W ∈Wj

X

s

kAs,W,jk22 ≤ C22jmeas(Ωj).

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(2) There is a constant Cd such that for every assignment W 7→

s(W ) ∈ Z, defined on Wj, and for 0 ≤ p ≤ 2,

(3.2) X

W ∈Wj

meas(W )kAs(W ),W,jkp≤ Cd2pjmeas(Ωj).

With this notation we need to show the inequality (3.3)

X

s,j

X

`≥0

X

W ∈Wj L(W )=l−s

ψs∗ Ks∗ As,W,j

p ≤ Csup

s

kHskL1[(1+|x|)dx] kSf kp,

for any  > 0 and 1 < p ≤ 2. For each integer l in this sum, we split Ks into short range and long range pieces, Ks,`sh and Ks,`lg. To define them, let

Ks(x) = 2sdHs(2sx) = 2sdHs(2sx)χ(|2sx|≤2`)+ 2sdHs(2sx)χ(|2sx|>2`)

:= Ks,`sh(x) + Ks,`lg(x), where χ denotes the characteristic function.

Lemma 3.2. We have the following.

(1) For 1 ≤ p ≤ ∞

(3.4) kKs,`sh∗ f kp ≤ CkHsk1kf kp. (2) If  > 0 then for 1 ≤ p ≤ ∞

(3.5) kKs,`lg ∗ f kp ≤ C2−` kHskL1[(1+|x|)dx] kf kp. Proof. For (3.4), by scaling

kKs,`sh∗ f kp≤ CkKs,`shk1kf kp ≤ CkHsχ(|x|≤2`)k1kf kp. For (3.5), by scaling

kKs,`lg ∗ f kp≤ CkKs,`lgk1kf kp ≤ CkHsχ(|x|>2`)k1kf kp. And so if  > 0 then

kKs,`lg ∗ f kp ≤ C2−` kHskL1[(1+|x|)dx] kf kp.

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Lemma 3.3 (Lemma 2.2 in [7]). Let 0 < p0< p1 < ∞. Let {Fj}j∈Z be a sequence of measurable functions on a measure space {Ω, µ}, and let {sj} be a sequence of nonnegative numbers. Assume that, for all j, the inequality

kFjkppv

v ≤ Mpv2jpvsj

holds for v = 0 and v = 1. Then for every p ∈ (p0, p1), there is a constant C = C(p0, p1, p) such that

kX

j

Fjkpp ≤ CpMpX

j

2jpsj.

For the short range estimate, it suffices to show that (3.6)

X

s,j

X

`≥0

X

W ∈Wj L(W )=`−s

ψs∗ Ks,`sh∗ As,W,j

τ

τ ≤ Cτsup

s∈Z

(kHsk1)τkSf kττ

for 1 ≤ τ ≤ 2. If we have (3.6) then τ = p will give the desired result.

To prove (3.6), by Lemma 3.3, it suffices to show that for fixed j, and for 1 ≤ τ ≤ 2,

(3.7)

X

s

X

`≥0

X

W ∈Wj L(W )=`−s

ψs∗Ks,`sh∗As,W,j

τ

τ ≤ Cτsup

s∈Z

(kHsk1)τmeas(Ωj).

If we show (3.7), then by Lemma 3.3 the left hand side of (3.6) is con- trolled by

Cτsup

s∈Z

(kHsk1)τX

j

2meas(Ωj) ≤ Cτsup

s∈Z

(kHsk1)τkSf kττ.

Now we prove (3.7). For τ = 2, note that

X

s

X

`≥0

X

W ∈Wj L(W )=`−s

ψs∗Ks,`sh∗As,W,j

2 2 =

X

W ∈Wj

X

s

ψs∗Ks,L(W )+ssh ∗As,W,j

2 2.

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For each fixed j, since P

sψs∗ Ks,L(W )+ssh ∗ As,W,j is supported in W and W, W ∈ Wj, have bounded overlap, by (3.4) and (3.1),

The left hand side of (3.7) ≤ C2 X

W ∈Wj

X

s

ψs∗ Ks,L(W )+ssh ∗ As,W,j

2 2

≤ C2 X

W ∈Wj

X

s

Ks,L(W )+ssh ∗ As,W,j

2 2

≤ C2 X

W ∈Wj

X

s

sup

s∈Z

(kHsk1)2kAs,W,jk22

≤ C2sup

s∈Z

(kHsk1)222jmeas(Ωj).

Inequality (3.7) for τ < 2 follows from (3.7) for τ = 2 by H¨older’s inequality. Here we use that the relevant expressions are supported in Ωj and |Ωj| ≤ Cd|Ωj|.

For the long range estimate, that is, (3.8)

X

s,j

X

`≥0

X

W ∈Wj L(W )=`−s

ψs∗ Ks,llg∗ As,W,j

p≤ Csup

s

kHskL1[(1+|x|)dx] kSf kp,

for  > 0 and 1 < p ≤ 2, we use

(3.9)

X

s

ψs∗ hs

τ

τ ≤ C X

s

khskττ1/τ

, 1 ≤ τ ≤ 2.

And so by Minkowski’s inequality and (3.9), the left hand side of (3.8) is dominated by

(3.10) X

`≥0

 X

s

X

j

X

W ∈Wj L(W )=`−s

Ks,`lg ∗ As,W,j

p p

1/p

.

For fixed `, s, by (3.5), if  > 0 then (3.11)

X

j

X

W ∈Wj L(W )=`−s

Ks,`lg∗As,W,j

p≤ C2−`kHskL1[(1+|x|)dx]

X

j

X

W ∈Wj L(W )=`−s

As,W,j

p.

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For fixed `, s, the functions P

W ∈Wj L(W )=`−s

As,W,j, j ∈ Z, live on disjoint sets (since the sets S

Q∈QsjQ, j ∈ Z, are disjoint). Hence

X

j

X

W ∈Wj L(W )=`−s

As,W,j

p

p =X

j

X

W ∈Wj L(W )=`−s

As,W,j

p

p =X

j

X

W ∈Wj L(W )=`−s

kAs,W,jkpp.

Therefore by (3.2)

X

s

X

j

X

W ∈Wj L(W )=`−s

As,W,j

p

p ≤X

j

X

s

X

W ∈Wj L(W )=`−s

kAs,W,jkpp

≤X

j

X

W ∈Wj

kA`−L(W ),W,jkpp

≤X

j

X

W ∈Wj

meas(W )kA`−L(W ),W,jkp

≤ CX

j

2jpmeas(Ωj) ≤ CkSf kpp ≤ Ckf kpp. (3.12)

By (3.11) and (3.12), it follows that the expression (3.10) is

≤X

`>0

C2−`sup

s

kHskL1[(1+|x|)dx] kf kp≤ Csup

s

kHskL1[(1+|x|)dx] kf kp, if  > 0 and 1 < p ≤ 2. And this completes the proof.

References

[1] Sun-Yung A. Chang and Robert Fefferman, A continuous version of duality of H1 with BMO on the bidisc, Ann. of Math. (2) 112(1) (1980), 179-201.

[2] Anthony Carbery, George Gasper, and Walter Trebels, Radial Fourier multipliers of Lp(R2), Proc. Nat. Acad. Sci. U.S.A. 81 (1984), no. 10, Phys. Sci., 3254-3255.

[3] Henry Dappa, A Marcinkiewicz criterion for Lp-multipliers, Pacific J. Math.

111(1) (1984), 9-21.

[4] Gustavo Garrig´os and Andreas Seeger, Characterizations of Hankel multipliers, Math. Ann. 342(1) (2008), 31-68.

[5] , A note on maximal operators associated with Hankel multipliers, Rev.

Un. Mat. Argentina 50(2) (2009), 137-148.

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[6] Lars H¨ormander, Estimates for translation invariant operators in Lpspaces, Acta Math. 104 (1960), 93-140.

[7] Yaryong Heo, F¨edor Nazarov, and Andreas Seeger, Radial Fourier multipliers in high dimensions, Acta Math. 206(1) (2011), 55-92.

[8] Jaak Peetre, On spaces of Triebel-Lizorkin type, Ark. Mat. 13 (1975), 123-130.

[9] Andreas Seeger, Remarks on singular convolution operators, Studia Math. 97(2) (1990), 91-114.

[10] Hans Triebel, Theory of function spaces, Monographs in Mathematics, vol. 78, Birkh¨auser Verlag, Basel, 1983.

Yaryong Heo

Department of Mathematics, Korea University, Seoul 136-701, Republic of Korea.

E-mail: yaryong@korea.ac.kr

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