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Boundedness of vector-valued B-singular integral operators in Lebesgue spaces

  • Seyda Keles EMAIL logo and Mehriban N. Omarova
Published/Copyright: July 21, 2017

Abstract

We study the vector-valued B-singular integral operators associated with the Laplace-Bessel differential operator

B=k=1n1 2x k 2+(2x n 2+2vxnx n),v>0.

We prove the boundedness of vector-valued B-singular integral operators A from Lp,v(R+n,H1)toLp,v(R+n,H2), 1 < p < ∞, where H1 and H2 are separable Hilbert spaces.

MSC 2010: 42B20; 44A35; 46E40

1 Introduction

Multidimensional singular integrals generated by Laplace-Bessel differential operator (B-singular integral operator)

B=k=1n12x k 2+(2x n 2+2vxnx n),v>0

were investigated by M. Klyuchantsev and I.A. Kipriyanov [7, 8], where weighted Lp estimates were obtained for them. I.A. Aliev, A.D. Gadjiev, E.V. Guliyev, I. Ekincioglu, A. Serbetci [1, 3-5] have studied the boundedness of B-singular integrals in weighted Lp-spaces with radial and general weights consequently.

The structure of the paper is as follows. In section 2, we present some definitions and auxiliary results. In section 3 we prove the boundedness of vector-valued B-singular integral operator A from Lp,v(R+n,H1)toLp,v(R+n,H2), 1 < p < ∞, where H1 and H2 are separable Hilbert spaces.

2 Definition, notation and preliminaries

Let ℝn be n- dimensional Euclidean space, R+n={x=(x1 ,,xn)R:xn>0},S+n1={xR+n:|x|=1},|x|=(i=1nxi2)1 /2. We define the spaces Lp,v(R+n) by

Lp,v(R+n):=Lp(R+n,xn2vdx)={f:fL p , v( R + n)=( R + n|f(x)|pxn2vdx)1p<},

where v > 0 is a fixed parameter, 1 ≤ p < ∞, dx = dx1dx2 ... dxn.

Suppose that 1 ≤ p < ∞ and f is a measurable function on R+n. The weak Lp,v(R+n) spaces are denoted by WLp,v(R+n) and f is said to belong to WLp,v(R+n) , if there is a constant C > 0 such that

supλ>0λ|{xR+n:|f(x)|>λ}|v1 p C<.

For xR+n and r > 0, we denote by E(x,r)={yR+n:|xy|<r} the open ball centered at x of radius r, by E(x,r)=R+nE(x,r) denote its complement. For any AR+n,|A|v=Axn2vdx and |E(0, r)|v = Crn+2v.

We denote by Ty the generalized shift operator (B- shift operator) acting according to the law

Tyf(x)=Γ(v+12)Γ(v)Γ(12)0πf(xy,xn22xnyncosαn+yn2)(sinα)2v1dα,

where x = (x′, xn), y = (y′, yn), x′, y′ ∈ ℝn−1 and xn, yn ∈ ℝ+. We remark that Ty is closely connected with the Laplace- Bessel differential operator

ΔB=k=1n12x k 2+(2x n 2+2vxnx n),v>0

(see [9] for details). The Ty shift operator generates the corresponding “B-convolution”

(φψ)(x)= R + nφ(y)Tyψ(x)yn2vdy

for which the Young inequality holds:

φψL r , v( R + n) φL p , v( R + n)ψL q , v( R + n),1 p,q,r ,1p+1q=1r+1.

We note the following property (needed below) of the “B-convolution”,

φψ=ψφ

is valid.

The Fourier-Bessel transform is defined as follows [6]

Fvφ(z)= R + nφ(x)eixzjv12(xnzn)xn2vdx,

where jv12 is the normalized Bessel function that is defined as for t>0,v>12

jv(t)=2vΓ(v+1)J v(t)tv=Γ(v+1)πΓ(v+12)11(1u2)v12eitudu.

Here Jv(t) is the first kind of Bessel function.

The normalized Bessel function jv is the eigenfunction of the Bessel differential operator satisfying the conditions for all t ∈ ℝ, |jv(t)| ≤ 1, jv(0) = 1, jv(0)=0 and for λ ∈ ℂ

jv(λx)jv(λy)=Tx(jv(λ))(y).

The influence of the Fourier- Bessel transform to B- convolution is as follows

Fv(φψ)(x)=(Fvφ)(x)(Fvψ)(x).

Definition 2.1

Suppose that T is a sublinear operator and 1 ≤ p,q ≤ ∞. The operator T is said to be of weak type (p, q)v, if T is a bounded operator from Lp,v(R+n)toWLq,v(R+n). That is, there exists a constant C > 0 such that for any λ > 0 and fLp,v(R+n)

|{xR+n:|Tf(x)|>λ}|v (CλfL p , v( R + n))q .

T is said to be of type (p, q)v if T is a bounded operator from Lp,v(R+n)toLq,v(R+n). That is, there exists a constant C > 0 such that for any fLp,v(R+n)

TfL q , v( R + n) CfL p , v( R + n).

Theorem 2.2

(The Marcinkiewicz interpolation theorem). Let (X, μ) and (Y, v) be two measure spaces, and let the sublinear operator T be both of weak type (p0, p0) and weak type (p1, p1) for 1 ≤ p0 < p1 ≤ ∞. That is, there exist the constants C0, C1 > 0 such that for any λ > 0 and f

(v ( { y Y : | T f ( y ) | > λ } ) ) 1 p 0 < _ C 0 λ f L p 0 ( X , μ ) , (v({yY: |Tf(y) |>λ} ) ) 1 p 1 C 1 λ f L p 1 ( X , μ )

for p1 < ∞. Then T is also type (p, p) for all p0 < p < p1 i.e., there exists a constant C > 0 such that for any fLp (X, μ)

(Y|Tf(y)|pdv)1p C(X|f(x)|pdμ)1p .

3 Vector-valued B-singular integral operators

Let H be a separable Hilbert space. Then a function f(x), from R+n to H is measurable if the scalar valued functions 〈f(x), ϕ〉 are measurable, where 〈·, ·〉 denotes the inner product of H and ϕ denotes an arbitrary vector of H. If f(x) is such a measurable function, then ||f(x)||H is also measurable (as a function with non-negative values), where ||·||H denotes the norm of H. Thus Lp,v(R+n,H) is defined as the equivalence classes of measurable functions f(x) from R+n to H, with the property that the norm

fL p , v( R + n,H)=( R + nf(x)Hpxn2vdx)1p,1 p<

is finite. When p = ∞ there is a similar definition.

f L ( R + n , H ) = e s s sup x R + n f ( x ) H .

Now, let H1 and H2 be two separable Hilbert spaces, and let B(H1, H2) be the Banach space of bounded linear operators from H1 to H2, with the usual operator norm. We say that a function f(x), from R+n to B(H1, H2) is measurable if f(x)ϕ is an H2— valued measurable function for every ϕH1. In this case ||f(x)||B(H1, H2) is also measurable and we can define the space Lp,v(R+n,B(H1,H2)). The usual facts about B-convolution hold in this setting. For example, suppose gLq,v(R+n,B(H1,H2))andfLp,v(R+n,B(H1,H2)),1 p,q . Then

(fg)(x)= R + ng(y)Tyf(x)yn2vdy

converges in the norm of H2 almost every x, and

(fg)(x)H 2 R + ng(y)B(H 1,H 2)Tyf(x)H 1yn2vdy.

Also, when 1r=1p+1q1 with 1 ≤ r ≤ ∞,

fgL r , v( R + n H 2 ) gL q , v( R + n,B(H 1,H 2))fL p , v( R + n,H 1).

Now, we suppose that fL1,v(R+n,H). Then we can define its H-valued Fourier-Bessel transform

(Fvf)(x)= R + nf(y)eixyjv12(xnyn)yn2vdy,

which is an element of L(R+n,H).IffL1,v(R+n,H)L2,v(R+n,H),thenFvfL2,v(R+n,H). The Fourier- Bessel transform can then be extended by continuity to a unitary mapping of the Hilbert space L2,v(R+n,H) to itself (see for details [10]; p.45-46, [11]; p. 307-309).

Theorem 3.1

Let A be a sublinear operator defined on L0(R+n,H1) i.e., compactly supported, bounded H1 valued functions, with values in M(R+n,H2) i.e., the space of measurable, H2 valued functions. Suppose in addition that for f in L0(R+n,H1)

|{x:AfH 2>λ}|v c1,vλfL 1 , v( R + n,H 1)

and

(|{x:AfH 2>λ}|v)1r cr,vλfL r , v( R + n,H 1),

where c1,v and cr,v are independent of λ and f. Then for each 1 < p < r, we have that AfLp,v(R+n,H2) whenever fLp,v(R+n,H1) and there is a constant c = c1,r,p,v independent of f such that

AfL p , v( R + n,H 2) cfL p , v( R + n,H 1).

Proof

Let

F(x)={ f ( x ) f ( x ) | | H 1 , f ( x ) 0 0 , f ( x ) = 0.

For a scalar valued function g consider Bg(x) = ||A(F(x)g)||H2. Clearly B is a sublinear mapping, simultaneously of weak types (1, 1)v and (r, r)v with norm ≤ c1,v,cr,v, respectively. By the Theorem 2.2 there is a constant c as indicated above so that

BgL p , v( R + n) cgL p , v( R + n),1<p<r.

Upon setting g(x) = ||f(x)||H1 our proof is complete. □

Definition 3.2

We say that a function K on R+n whose values are bounded operators from H1 to H2 is a vector-valued B-singular integral kernel provided that

  1. K is measurable and integrable on compacts sets not containing the origin,

  2. There exists M > 0 for all ɛ : 0 < ɛ < r

    E(0,r)E(0,ϵ)K(x)xn2vdxB(H 1,H 2) M

    and for each h in H1,

    [E(0,r)E(0,ϵ)K(x)xn2vdx]h

    converges as ɛ → 0,

  3. For each h in H1 with ||h||H1 ≤ 1

    E(0,4r)E(0,r)|x|K(x)hH 2xn2vdx M,
  4. E ( 0 , 4 | y | )TyK(x)K(x)B(H 1,H 2)xn2vdx M,|y|<14.

Theorem 3.3

Let K : R+n B(H1, H2) be a vector-valued B-singular integral kernel. Then there exists Cv > 0 such that

(FvK)(x)B(H 1,H 2) CvM,xS+n1 .

Proof

Let Kt(x) := tn+2vK(tx), t > 0. Then, Kt is the vector-valued B-singular integral kernel. First, observe that

(FvK)(x)= R + n K(y)ei x y jv 1 2(xnyn)yn2vdy. (1)

Let us write ty instead of y, then we get

(FvK)(x)= R + nK(ty)eitxyjv12(txnyn)yn2vtn+2vdy=(FvKt)(tx).

Therefore,

R + n e i x y j v 1 2 ( x n y n ) T x K(y) y n 2 v dy= R + n T x ( e i x y j v 1 2 ( x n y n ))K(y) y n 2 v dy= R + n e i x ( y x ) T x n ( j v 1 2 ( x n y n ))K(y) y n 2 v dy= R + n e i x y e i | x | 2 j v 1 2 ( x n y n ) j v 1 2 ( x n 2 )K(y) y n 2 v dy= e i | x | 2 j v 1 2 ( x n 2 ) R + n e i x y j v 1 2 ( x n y n )K(y) y n 2 v dy= e i | x | 2 j v 1 2 ( x n 2 )( F v K)(x). (2)

From (1) and (2), we have

( e i | x | 2 j v 1 2 ( x n 2 )1)( F v K)(x)= R + n e i x y j v 1 2 ( x n y n ) ( T x K ( y ) K ( y ) ) y n 2 v d y= E ( 0 , 4 ) e i x y j v 1 2 ( x n y n )( T x K(y)K(y)) y n 2 v dy+ E ( 0 , 4 ) e i x y j v 1 2 ( x n y n )( T X K(y)K(y)) y n 2 v dy= I 3 (x)+ I 4 (x).

Then for all xS+n1, , we have

I3(x)B(H 1,H 2) E ( 0 , 4 )TxK(y)K(y)B(H 1,H 2)yn2vdy M.

Now, I4(x) requires some work. We rewrite it as

I 4 (x)= E ( 0 , 4 ) e i x y j v 1 2 ( x n y n )( T x K(y)K(y)) y n 2 v dy= E ( 0 , 4 ) ( e i x y j v 1 2 ( x n y n ) 1 ) T x K ( y ) y n 2 v d y E ( 0 , 4 ) ( e i x y j v 1 2 ( x n y n )1)K(y) y n 2 v dy E ( 0 , 4 ) K(y) y n 2 v dy+ E ( 0 , 4 ) T x K(y) y n 2 v dy= L 1 (x)+ L 2 (x)+ L 3 + L 4 (x).

The following inequality is valid for all xS+n1,

| e i x y j v 1 2 ( x n y n )1 | | j v 1 2 ( x n y n ) | | e i x y 1 |+ | j v 1 2 ( x n y n )1 | | e i x y 1 |+ c v 1 1 | e i x n y n t 1 | |1 t 2 | v 1 dt C |y |.

Then

L 2 (x) B ( H 1 , H 2 ) E ( 0 , 4 ) | e i x y j v 1 2 ( x n y n )1 |K(y) B ( H 1 , H 2 ) y n 2 v dyC E ( 0 , 4 ) |y |K(y) B ( H 1 , H 2 ) y n 2 v dy k = 0 4 k < | y | < 4 k + 1 |y |K(y) B ( H 1 , H 2 ) y n 2 v dy M k = 0 4 k M . (3)

Since the operator K is a vector-valued B-singular integral kernel, then ∃ M > 0, for all ɛ > 0, such that

E(0,4)E(0,ϵ)K(y)yn2vdyB(H 1,H 2)M

and

E(0,4)K(y)yn2vdyB(H 1,H 2)=limϵ0+E(0,4)E(0,ϵ)K(y)yn2vdyB(H 1,H 2)M.

Therefore,

L3(x)B( H 1 , H 2 )=E(0,4)K(y)yn2vdyB( H 1 , H 2 )M. (4)

Now, we estimate L1(x).

L1(x)= R + nTx[χE(0,4)(y)(eixyjv12(xnyn)1)]K(y)yn2vdy.

Note that,

| T x χ E ( 0 , 4 ) (y) | c V 0 π | χ E ( 0 , 4 ) ( x y , x n 2 2 x n y n cos α + y n 2 ) |(sinα ) 2 v 1 dα1.

For α ∈ (0, π) if

|(xy,xn22xnyncosα+yn2)|4,

then

TxχE(0,4)(y)=0.

We denote

Dx={yR+n:|(xy,x n 22x ny ncosα+y n 2|<4forα(0,π)}.

We have

L 1 (x) B ( H 1 , H 2 ) = D x T x ( e i x y j v 1 2 ( x n y n )1)K(y) y n 2 v dy B ( H 1 , H 2 ) = D x ( e i x ( y x ) ( T x n j v 1 2 ( x n y n ))1)K(y) y n 2 v dy B ( H 1 , H 2 ) = D x ( e i x y e i | x | 2 j v 1 2 ( x n y n ) j v 1 2 ( x n 2 )1)K(y) y n 2 v dy B ( H 1 , H 2 ) D x ( e i | x | 2 j v 1 2 ( x n 2 ))( e i x y j v 1 2 ( x n y n )1)K(y) y n 2 v dy B ( H 1 , H 2 ) + D x ( e i | x | 2 j v 1 2 ( x n 2 )1)K(y) y n 2 v dy B ( H 1 , H 2 ) = L 5 (x)+ L 6 (x).

We note that

|y| |yx|+|x||(xy,x n 22x ny ncosα+y n 2)|+1<5.

Hence, for all xS+n1 similarly (3) we have

L 5 (x)= D x ( e i | x | 2 j v 1 2 ( x n 2 ))( e i x y j v 1 2 ( x n y n )1)K(y) y n 2 v dy B ( H 1 , H 2 ) D x | e i x y j v 1 2 ( x n y n )1 |K(y) B ( H 1 , H 2 ) y n 2 v dy D x |y |K(y) B ( H 1 , H 2 ) y n 2 v dy E ( 0 , 5 ) | y | K ( y ) B ( H 1 , H 2 ) y n 2 v d y M . (5)

We show that L6(x) is bounded. Indeed

L 6 (x)= D x ( e i | x | 2 j v 1 2 ( x n 2 )1)K(y) y n 2 v dy B ( H 1 , H 2 ) D x K(y) y n 2 v dy B ( H 1 , H 2 ) E ( 0 , 5 ) K ( y ) y n 2 v d y B ( H 1 , H 2 ) M . (6)

Using (5) and (6) , we have

L1(x)B(H 1,H 2)M, (7)

where the constant M > 0 is independent of xS+n1. Finally, we estimate L4(x).

L 4 (x)= E ( 0 , 4 ) T x K(y) y n 2 v dy= R + n T x K(y)( χ E(0,4) (y)) y n 2 v dy= R + n K(y) T x ( χ E ( 0 , 4 ) (y)) y n 2 v dy= R + n Z K(y) T x ( χ E(0,4) (y)) y n 2 v dy,

where

Z={yR+n:α(0,π),|(xy,x n 22x ny ncosα+y n 2)|4}.

For yR+nZandxS+n1, the following inequalities are valid.

|y||yx|+|x|5

and

|(xy,xn22xnyncosα+yn2)||xy~||x|+|y|

where = (y′, —yn) and || = |y|. We have

L 4 (x)= R + n Z K(y) T x ( χ E ( 0 , 4 ) (y)) y n 2 v dy= E ( 0 , 3 / 2 ) K(y) T x ( χ E ( 0 , 4 ) (y)) y n 2 v dy+ E ( 0 , 3 / 2 ) K(y) T x ( χ E ( 0 , 4 ) (y)) y n 2 v dy.

For E(0, 3/2), |(xy,xn22xnyncosα+yn2)|<|x|+|y|<3 and we get

E(0,3/2)K(y)Txχ E(0,4) (y))yn2vdy=E(0,3/2)K(y)yn2vdy.

Hence

L 4 (x) B ( H 1 , H 2 ) E ( 0 , 3 / 2 ) K(y) y n 2 v dy B ( H 1 , H 2 ) + E ( 0 , 5 ) E ( 0 , 3 / 2 ) K(y) y n 2 v dy B ( H 1 , H 2 ) M. (8)

Using (3), (4), (7) and (8) , we have a constant M > 0 for all xS+n1 such that the inequality

I4(x)B(H 1,H 2)M

is valid.

Therefore the proof is complete. Indeed

(FvK)(x)B(H 1,H 2)Mβ1,

where

0<β:=|ei|x | 2jv12(xn2)1|2.

From Theorem 3.3 we get the following theorem.

Theorem 3.4

Suppose that K : R+n B(H1, H2) is a vector-valued B-singular integral kernel and fL0(R+n,H1). Let

(Tϵf)(x)= E ( 0 , ϵ )K(y)Tyf(x)yn2vdy, ϵ>0.

Then there exists a constant Cv > 0 such that for all fL2,v(R+n) the inequality

TϵfL 2 , v( R + n,H 2)CvfL 2 , v( R + n,H 1)

is valid.

Proof

Let Kɛ(x) = K(x)χcE(0,ɛ)(x). Then we can write (Tɛf)(x) = (Kɛf)(x). Using Parseval-Plancherel identity and Theorem 3.3 we have

T ϵ f L 2 , v ( R + n , H 2 ) = K ϵ f L 2 , v ( R + n , H 2 ) =( F v K ϵ )( F v f) L 2 , v ( R + n , H 2 ) = ( R + n F v K ϵ (x) B ( H 1 , H 2 ) 2 F v f(x) H 1 2 x n 2 v dx ) 1 2 = ( s + ϵ F v K(rθ) B ( H 1 , H 2 ) 2 F v f(rθ) H 1 2 r n + 2 v 1 θ n 2 v drdθ ) 1 2 C v ( E ( 0 , ϵ ) F v f(x) H 1 2 x n 2 v dx ) 1 2 C v f L 2 , v ( R + n , H 1 ) .

The scalar valued case of the following theorem was proved in [10] and [11]. In the vector-valued case the proof is the same.

Theorem 3.5

Let H be a separable Hilbert space, fL1,v(R+n,H) and t be a positive constant. Then there exists a decomposition of R+n

R+n=F+Ω+, F+Ω+=

such that

  1. ||f(x)||Ht, a.e x in F+,

  2. Ω+=iNΩi+,

    where Ω i + = { x R + n : | x x i | < b i } , i N a n d Ω i + Ω j + = , f o r i j . Moreover, if

    v(x)={ 1 | Ω i + | Ω i + f ( x ) x n 2 v d x , x Ω i + , f ( x ) , x F + ,

    then

    tv(x)H2n+2vt, xΩi+,
  3. f(x)=v(x)+iωi(x),whereωiL1,v(R+n,H), R + n ωi(x)xn2vdx=0andωi(x)=0forxΩi+,

  4. v L 1 , v ( R + n ,H)+iωi L 1 , v ( R + n ,H)Cf L 1 , v ( R + n ,H),

  5. |Ω+|vt1fL 1 , v( R + n,H).

The following theorem is valid.

Theorem 3.6

Let KL1,v(R+n,B(H1,H2)) and Af(x) = (Kf)(x). Suppose that there exist constants B, M > 0 such that for all yE( 0, 1/B)

E ( 0 , B ) TyK(x)K(x)B( H 1 , H 2 )xn2vdxM (9)

and there exists a constant Cv > 0 such that for all fL2,v(R+n,H1) the following inequality

R + n Af(x) H 2 2xn2vdxCv R + n f(x) H 1 2xn2vdx (10)

is valid. Then the inequality

|{xR+n:Af(x)H 2>λ}|vCvλ R + nf(x)H 1xn2vdx

is valid, where the constant Cv > 0 is independent of f.

Proof

For any s > 0 and fL1,v(R+n,H1) that has compact support, we use Theorem 3.5. Hence

| {x R + n :Af(x) H 2 >t} | v |{x R + n :Av(x) H 2 > t 2 } | v + | {x R + n :Aω(x) H 2 > t 2 } | v

and

v L 2 , v ( R + n , H 1 ) 2 = F + v ( x ) H 1 2 x n 2 v d x + Ω + v ( x ) H 1 2 x n 2 v d x C v 2 s f L 1 , v ( R + n , H 1 ) , (11)

where f=v+ω,ω=i=1ωi. From (10) and (11) we have

AvL 2 , v( R + n,H 2)CvvL 2 , v( R + n,H 1)Cvs12f L 1 , v( R + n,H 1)12.

Therefore

| {x R + n :Av(x) H 2 > t 2 } | v = 4 t 2 { x R + n : | | A v ( x ) | | H 2 > t 2 } ( t 2 ) 2 x n 2 v dx 4 t 2 R + n Av(x) H 2 2 x n 2 v dx 4 C v t 2 R + n v(x) H 1 2 x n 2 v dx C v s t 2 f L 1 , v ( R + n , H 1 ) .

Now, we estimate . Firstly, we consider a ω1 function. Let

Ω1={xRn:|x|<1B}

such that supp ω1Ω1,Ω1+=Ω1R+n and

Ω 1 +ω1(x)xn2vdx=0.

Let also Q1={xRn:|x|<B}andQ1+=Q1R+n. Then, we have

A ω 1 (x)= R + n T y K(x) ω 1 (y) y n 2 v dy= Ω 1 + T y K(x) ω 1 (y) y n 2 v dy= Ω 1 + [ T y K(x)K(x)] ω 1 (y) y n 2 v dy.

Using Fubini theorem and the condition (9), we obtain

c Q 1 + A ω 1 (x) H 2 x n 2 v dx Ω 1 + ( c Q 1 + T y K(x)K(x) B ( H 1 , H 2 ) x n 2 v dx) ω 1 (y) H 1 y n 2 v dyM ω 1 L 1 , v ( R + n , H 1 ) C v f L 1 , v ( R + n , H 1 ) .

Using Chebyshev inequality we have

|{x R + n :A ω 1 (x) H 2 >t} | v | {x R + n : (1 χ Q 1 +(x))A ω 1 (x) H 2 >t } | v + | Q 1 + | v C v tf L 1 , v ( R + n , H 1 ) + | Q 1 + | v

and

| Q 1 + | v C | Ω 1 + | v C v s f L 1 , v ( R + n , H 1 ) .

Therefore,

|{xR+n:Aω1(x)H 2>t}|v CvtfL 1 , v( R + n,H 1)+CvsfL 1 , v( R + n,H 1)

is obtained. Now, for a ωi function the support of ωi is in Ωi={xRn:|xx(i)|<1B} Then we get

c Q i + | | Ω i + T y K(x) ω i (y) y n 2 v dy H 2 x n 2 v dx= c Q i + | | Ω i + [ T y K(x) T x ( i ) K(x)] ω i (y) y n 2 v dy H 2 x n 2 v dx Ω i + ω i (y) H 1 ( c Q i + T y K(x) T x ( i ) K(x) B ( H 1 , H 2 ) x n 2 v dx ) y n 2 v dy,

where cQi+={xR+n:|xx(i)|>B}.Ifwewritez=(x,zn,zn+1)R+n+1,zn+1>0, where zn = xn cos α, zn+1 = xn sin α (0 ≤ α < π), then we get

J=cB i +K(z(x ( i )),( z n x n ( i ) ) 2 + z n + 1 2 )K(zy,( z n y n ) 2 + z n + 1 2 )B(H 1,H 2)zn+12v1dz,

where cBi+={zR+n+1¯:|zn2+zn+12|>B,|xx(i)|>B}. By using the change of variable ξ = (ξ′, ξn) where ξ=x(x(i)),ξn=znxn(i)andη=(η,ηn,0)R+n+1,whereη=(x(i))y,ηn=xn(i)yn, we obtain

J=( cB i +)K(ξ, ξ n 2 + z n + 1 2 )K(ξ+η,( ξ n + η n ) 2 + z n + 1 2 )B(H 1,H 2)zn+12v1dz,

where

(cBi+)={(ξ,ξn,zn+1)R+n+1:|(ξn+xn(i))2+zn+12xn(i)|>B,|ξxn(i)|>B}.

By using the change of variable ξn = xn cos α, zn+1 = xn sin α, xn > 0, we get

B<|(ξn+xn(i)2+zn+12xn(i)|xn,

and

JB(H 1,H 2) E ( 0 , B )TηK(x)K(x)B(H 1,H 2)xn2vdx.

Since |η|<1B, then we obtain ||J||B(H1, H2)M and then

cQ i +Aωi(x)H 2xn2vdxCvωiL 1 , v( R + n,H 1).

Therefore

|{x R + n :Af(x) H 2 >t} | v C v ( s t 2 f L 1 , v ( R + n , H 1 ) + t 1 f L 1 , v ( R + n , H 1 ) + s 1 f L 1 , v ( R + n , H 1 ) ).

Choosing s > 0 to minimize right hand of this inequality we obtain

|{xR+n:Af(x)H 2>t}|vCvtfL 1 , v( R + n,H 1).

The proof is completed. □

From Theorem 3.6 we have the following theorem.

Theorem 3.7

Let KL1,vloc(R+n,B(H1,H2)),Af(x)=(Kf)(x). If there exists M > 0 such that for all yE(0, 1/4)

E ( 0 , 4 | y | )TyK(x)K(x)B(H 1,H 2)xn2vdxM

and

AfL 2 , v( R + n,H 2)CvfL 2 , v( R + n,H 1),

where the constant Cv > 0 is independent of f, then for fL0(R+n,H1)

AfL p , v( R + n,H 2)Cp,vfL p , v( R + n,H 1),

where the constant Cp,v > 0 is independent of f.

Proof

For 1 < p < 2, using Theorems 2.2 and 3.6 we have

AfL p , v( R + n,H 2)Cp,vfL p , v( R + n,H 1).

Note that if a function ψ is H- valued locally integrable function, where H is a separable Hilbert space and if

supφ R + nφ(x)ψ(x)xn2vdxH=C<,

where the sup is taken over all continuous ϕ with scalar- valued compact support which verify φL p , v( R + n)<1, then ψ L p , v ( R + n , H ) a n d ψ L p , v ( R + n , H ) = C , 1 p + 1 p = 1. T h e n f o r 2 < p < , t a k e f L 1 , v ( R + n , H 1 ) L p , v ( R + n , H 1 ) and ϕ of the type described above. Since KL1,vloc(R+n,B(H1,H2) and because of our choice of f and ϕ, the double integral

I= R + n R + nTyK(x)f(y)φ(x)yn2vxn2vdxdy

converges absolutely, then

I= R + n R + n T y K(x)f(y)φ(x) y n 2 v x n 2 v dxdy= R + n ( R + n T y K ( x ) φ ( x ) x n 2 v d x ) f(y) y n 2 v dy.

But if the theorem is valid for 1 < p′ < 2, then

R+nTyK(x)φ(x)xn2vdx

belongs to L p ,v(R+n,B(H1,H2))anditsL p ,v(R+n,B(H1,H2)) norm is majorized by

C p ,v||φ|| L p , v ( R + n)=C p ,v.

By Hölder’s inequality we show that

||I|| H 2 = R + n A f ( x ) φ ( x ) x n 2 v d x H 2 C p ,v||f|| L p , v ( R + n, H 1 )

and taking the supremum of all the ϕ’s indicated above gives the result that

||Af|| L p , v ( R + n, H 2 )C p ,v||f|| L p , v ( R + n, H 1 ),2<p<.

Therefore, we have completed the proof of the theorem. □

The following theorem is our main result.

Theorem 3.8

Let KL1,vloc(R+n,B(H1,H2)) be a vector-valued B- singular integral kernel. For fLp,v(R+n,H1),1<p<, suppose

(Tεf)(x)= E ( 0 , ε ) K(y)Tyf(x)yn2vdy,ε>0.

Then there exists a constant Cp,v > 0 such that for all fLp,v(R+n,H1) the inequality

||Tεf|| L p , v ( R + n, H 2 )Cp,v||f|| L p , v ( R + n, H 1 )

is valid and

Tf(x)=limε 0 +(Tεf)(x)

exists in Lp,v(R+n,H2) and also the following inequality is valid

||Tf|| L p , v ( R + n, H 2 )Cp,v||f|| L p , v ( R + n, H 1 ) ,

where the constant Cp,v > 0 is independent of f.

Proof

From Theorems 3.4 and 3.7, it follows that

||Tεf|| L p , v ( R + n, H 2 )Cp,v||f|| L p , v ( R + n, H 1 ) ,

where the constant Cp,v > 0 is independent of f. Now, we show that Tf(x)=limε 0 +(Tεf)(x) exists in Lp,v(R+n,H2) and the operator T so defined also satisfies

||Tf|| L p , v ( R + n, H 2 )Cp,v||f|| L p , v ( R + n, H 1 ) ,

where the constant Cp,v > 0 is independent of f. For an arbitrary fLp,v(R+n,H1), we can write

f=f1+f2,

where f1 is a smooth function with values in H1 and ||f2|| L p , v ( R+n, H 1) is small. We can write

(Tεf)(x)=(Tεf1)(x)+(Tεf2)(x).

For f2Lp,v(R+n,H1) we obtain that

||Tεf2|| L p , v ( R + n, H 2 )Cp,v||f2|| L p , v ( R + n, H 1 )<δ,δ>0.

We prove this theorem for a smooth function with values in H1. For x, yR+n , we can write

T ε 2 f(x) T ε 1 f(x)= E ( 0 , ε 2 ) E ( 0 , ε 1 ) K ( y ) T y f ( x ) y n 2 v d y= E ( 0 , ε 2 ) E ( 0 , ε 1 ) K ( y )( T y f(x)f(x)) y n 2 v dy+ E ( 0 , ε 2 ) E ( 0 , ε 1 ) K ( y ) f ( x ) y n 2 v dy.

By using

||Tyf()f()|| L p , v ( R + n, H 1 )C|y|,

we obtain

||T ε 2 fT ε 1 f|| L p , v ( R + n, H 2 )0,ε1,ε20.

Since Lp,v(R+n,H2) is Banach space and the set of smooth functions with values in H1 is dense in Lp,v(R+n,H1)thenthelimε 0 +(Tεf)(x) exists and hence

||Tf|| L p , v ( R + n, H 2 )Cp,v||f|| L p , v ( R + n, H 1 )

is valid, where the constant Cp,v > 0 is independent of f. □

  1. Competing interests

    The authors declare that they have no competing interests.

  2. Authors’ contributions

    All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.

Acknowledgement

The research of M. Omarova are partially supported by the grant of Presidium of Azerbaijan National Academy of Science 2015.

References

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Received: 2016-12-30
Accepted: 2017-5-8
Published Online: 2017-7-21

© 2017 Keles and Omarova

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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