• 검색 결과가 없습니다.

The Hilbert-Type Integral Inequality with the System Kernel of -λ Degree Homogeneous Form

N/A
N/A
Protected

Academic year: 2022

Share "The Hilbert-Type Integral Inequality with the System Kernel of -λ Degree Homogeneous Form"

Copied!
10
0
0

로드 중.... (전체 텍스트 보기)

전체 글

(1)

The Hilbert-Type Integral Inequality with the System Kernel of -λ Degree Homogeneous Form

Zitian Xie

Dept. of Math. Zhaoqing University, Zhaoqing, Guangdong, 526061, P. R. China e-mail : gdzqxzt@163.com

Zheng Zeng

Shaoguan University, Shaoguan, Guangdong, China 512005 e-mail : zz@sgu.edu.cn

Abstract. In this paper, the integral operator is used. We give a new Hilbert-type integral inequality, whose kernel is the homogeneous form with degree−λ and with three pairs of conjugate exponents and the best constant factor and its reverse form are also derived. It is shown that the results of this paper represent an extension as well as some improvements of the earlier results.

1. Introduction

If p > 1, 1p+1q = 1,f ∈ Lp(0,∞), and g ∈ Lq(0,∞), f(x), g(x) ≥ 0, such that 0 <

0 fp(x)dx <∞ and 0 <

0 gq(x)dx <∞, then [1]:

(1.1)

0

0

f (x)g(y)

x + y dxdy < π sin(π/p)

{∫

0

fp(x)dx

}1/p{∫

0

gq(x)dx }1/q

,

where the constant factor π

sin(π/p) is the best possible.

Inequality (1.1) is named Hardy-Hilbert’s integral inequality,which is important in analysis and applications. It has been studied and generalized in many directions by a number of people [2-21].

Let (T f )(y) :=

0 H(x, y)f (x)dx,∥f∥p:= (∫

0 |f(x)|p)1/p. We have (T f )(g) :=

0 (∫

0 H(x, y)f (x)dx)g(y)dy. If H(x, y) = x+y1 , in 2006,Yang [2] rewrote (1.1) as

(1.2) (T f )(g) < π

sin(π/p)∥f∥p∥g∥q

where T : Lr(0,∞) → Lr(0,∞)(r = p, q) is an integral operator.

For the purposes, we introduce some notations as follows:

Corresponding Author.

Received September 7, 2009; accepted January 28, 2010.

2000 Mathematics Subject Classification: 26D15.

Key words and phrases: Integral operator; Hilbert-type integral inequality, weight func- tion, H¨older’s inequality.

297

(2)

Let p > 0, p̸= 1 1p+1q = 1,r > 1, 1r+1s = 1. A norm of f with the weight function w(x) is defined by

∥f∥p,w :=

{∫

0

w(x)|f(x)|pdx }1/p

.

where f (x), w(x)≥ 0 are measurable functions defined on (0, ∞). If ∥f∥p,w <∞, then it is marked by f ∈ Lpw(R+).

Supposing that H(x, y)≥ 0 is a real measurable in (0, ∞)×(0, ∞) and satisfies H(ux, uy) = u−λH(x, y)(λ > 0, u > 0) for (x, y)∈ (0, ∞) × (0, ∞), then H(x, y) is called a homogeneous function of−λ-degree. Then we have the formal inner as follows:

(T f, g) = (T g, f ) =

0

(∫

0

H(x, y)f (x)dx )

g(y)dy =

0

0

H(x, y)f (x)g(y)dxdy.

Define the integral operator T as:

for f ∈ Lp(0,∞),

(T f )(y) :=

0

H(x, y)f (x)dx, y∈ (0, ∞) or for g∈ Lq(0,∞),

(T g)(x) :=

0

H(x, y)g(y)dy, x∈ (0, ∞)

where T is call Hilbert-type integral operator, if T is bounded. H(x, y) is call the kernel of T .

The main objective of this paper is to build a new Hilbert-type integral inequal- ity, whose Kernel is the homogeneous form degree−λ with three pairs of conjugate exponents and with the best constant factor. As applications,the equivalent forms and some particular results are given.

In the following, we always suppose that

1) t≥ 0, p > 0, p ̸= 1 1p+1q = 1.r > 1, 1r+1s = 1. l > 1, 1l +1k = 1.

2) H(x, y) ≥ 0 is a real measurable in (0, ∞) × (0, ∞) homogeneous function of

−λ-degree(λ > 0), and 0 <

0 H(1, σ)σ−1+t−2th−sλsh dσ <∞.

3) w(x) = xp(1−t+2tl−rλrl )−1, ˆw(x) = xq(t2tl−rλrl )−1;w(y) = ye q(1−t+2th−sλsh )−1, ¯w(y) = yp(t2th−sλsh )−1.

2. Lemma and main results Lemma. Define the weight functions:

W (x) =

0

H(x, y)xpq(1−t+2tl−rλrl ) y1−t+2th−sλsh

dy, W (y) =f

0

H(x, y)yqp(1−t+2th−sλsh ) x1−t+2tl−rλrl

dx.

(3)

then

W (x) = K1w(x), W (y) = Kf 2w(y)e where

K1=

0

H(1, σ)σ−1+t−2th−sλsh dσ, K2=

0

H(1, σ)σ1−t+2tl−rλrl −2+λ

and K := K1= K2.

Proof. Setting y = xσ we have W (x) = K1w(x).

on the other hand, we have fW (y) =

0

H(y

σ, y)yqp(1−t+2th−sλsh ) (σy)1−t+2tl−rλrl d(y

σ) = K2w(y)e

easilyK1= K2= K. the lemma is proved. 2

Theorem 2.1. If p > 1, f ∈ Lpw(R+), g∈ Lqwe(R+), and ∥f∥p,w> 0, ∥g∥q,we> 0, then

(2.1) (T f, g) = (T g, f ) =

0

0

H(x, y)f (x)g(y)dxdy < K∥f∥p,w∥g∥q,we;

If f ∈ Lpw(R+) and∥f∥p,w> 0, then T f ∈ Lpw¯(R+) and

(2.2) ∥T f∥p, ¯w= {∫

0

yp(t2thsh−sλ)−1 (∫

0

H(x, y)f (x)dx )p

dy }p1

< Kp∥f∥p,w. K is defined by lemma, both constant factors, K and Kp are the best possible and inequalities (2.1) and (2.2) are equivalent.

Theorem 2.2. If 1 > p > 0, f (x), g(x)≥ 0, such that f ∈ Lpw(R+), g∈ Lqwe(R+), and∥f∥p,w > 0, ∥g∥q,we> 0, then

(2.3) (T f, g) =

0

0

H(x, y)f (x)g(y)dxdy > K∥f∥p,w∥g∥q,we. If f ∈ Lpw(R+) and∥f∥p,w> 0, then T f ∈ Lpw¯(R+) and

(2.4) ∥T f∥p, ¯w= {∫

0

yp(t2thsh−sλ)−1 (∫

0

H(x, y)f (x)dx )p

dy }p1

> Kp∥f∥p,w, where both constant factors K and Kp are the best possible and inequalities (2.3) and (2.4) are equivalent.

We prove only Theorem 2.2, since the proof of Theorem 2.1 is the similar.

(4)

Proof of Theorem 2.2 By H¨older’s inequality [22] and results of lemma we have,

(2.5) (T f, g) =

0

0

H(x, y)f (x)x1q(1−t+2tl−rλrl ) y1p(1−t+2th−sλsh )

g(y)y1p(1−t+2th−sλsh ) x1q(1−t+2tl−rλrl )

dxdy

{∫

0

0

H(x, y)xpq(1−t+2tl−rλrl )

y1−t+2thsh−sλ fp(x)dydx }1p

{∫

0

0

H(x, y)yqp(1−t+2th−sλsh ) x1−t+2tl−rλrl

gq(y)dxdy }1q

= {∫

0

W (x)fp(x)dx

}1p{∫

0

fW (y)gq(y)dy }1q

= K∥f∥p,w∥g∥q,we.

If (2.5) takes the form of equality, then there exist constants M and N , such that they are not all zero and

Mxpq(1−t+2tl−rλrl ) y1−t+2th−sλsh

fp(x) = Nypq(1−t+2th−sλsh ) x1−t+2tl−rλrl

gq(y) a.e. in (0,∞) × (0, ∞).

Hence there exists a constant C, such that

M xp(1−t+2tlrl−rλ)fp(x) = N yq(1−t+2thsh−sλ)gq(y) = C a.e. in (0,∞), Without loss of generality, suppose that M ̸= 0, we my get xp(1−t+2tl−rλrl )−1fp(x) = C/(M x) a.e. in (0,∞) which contradicts f ∈ Lpw(R+). Hence (2.6) takes a strict inequality and we have (2.3).

If the constant factor K in (2.3) is not the best possible, then there exists a positive constant eK (with eK > K), such that (2.3) is still valid if we replace K by eK. Setting fn and gn as; fn(x) = gn(x) = 0, for x ∈ (0, 1); fn(x) = x−1+t−2tl−rλrl np1 , gn(x) = x−1+t−2th−sλsh nq1 , for x∈ [1, ∞). then for n ∈ N, (2.6) (T fn, gn) > eK∥fnp,w∥gnq,we= n eK.

Setting x = yσ, then we obtain Jn :=(T fn, gn) =

0

0

H(x, y)fn(x)gn(y)dxdy

=

1

1

H(x, y)x−1+t−2tl−rλrl np1 y−1+t−2th−sλsh nq1 dxdy

=

1

y−1−n1 (∫ y

0

H(1, σ)σ1−t+2tl−rλrl −2+λ+np1 )

dy

=

1

y−1−n1 (∫ 1

0

H(1, σ)σ−1+t−2th−sλsh +np1 )

dy

+

1

y−1−1n (∫ y

1

H(1, σ)σ−1+t−2th−sλsh +np1 )

dy

(5)

=n

1

0

H(1, σ)σ−1+t−2th−sλsh +np1

+

1

H(1, σ)σ−1+t−2th−sλsh +np1 (∫

σ

y−1−n1dy )

=n [∫ 1

0

H(1, σ)σ−1+t−2th−sλsh +np1 dσ +

1

H(1, σ)σ−1+t−2th−sλsh nq1 ]

.

In view of (2.6), we have n eK < Jn. Secondly, by Fatou lemma, one has Ke ≤ min

n→∞

1 nJn

= min

n→∞

[∫ 1 0

H(1, σ)σ−1+t−2th−sλsh +np1 dσ +

1

H(1, σ)σ−1+t−2th−sλsh nq1 ]

[∫ 1

0

min

n→∞H(1, σ)σ−1+t−2th−sλsh +np1 dσ +

1

min

n→∞H(1, σ)σ−1+t−2th−sλsh nq1 ]

= K.

It follows that eK≤ K, which contradicts the fact that K < eK. Hence the constant K in (2.3) is the best possible.

For x > 0, n∈ N, setting a bounded measurable function efn as

fen(x) =



n, if f (x) > n, f (x), if n1 ≤ f(x) ≤ n,

1

n, if f (x) < 1n,

by the condition of f ∈ Lpw(R+), there exists n0∈ N, such that for n ≥ n0∈ N, 0 <

n

1/nw(x) ef (x)pdx <∞. Setting egn(y) = yp(t2th−sλsh )−1(∫n

1/nH(x, y) efn(x)dx )p−1

, (n1 <

x≤ n; n ≥ n0) by H¨older’s inequality [22], we have

∞ >

n

1/n

yq(1−t+2th−sλsh )−1egnq(y)dy

=

n

1/n

yp(t2thsh−sλ)−1 (∫ n

1/n

H(x, y) efn(x)dx )p

dy

=

n

1/n

n

1/n

yp(t2th−sλsh )−1 (∫ n

1/n

H(x, y) efn(x)dx )p

dxdy

=

n

1/n

n

1/n

H(x, y) efn(x)egn(y)dxdy

>K (∫ n

1/n

xp(1−t+2tlrl−rλ)−1fenp(x)dx

)1/p(∫ n 1/n

yq(1−t+2thsh−sλ)−1egn(y)dy )1/q

.

(6)

(2.7) 0 < Kp

n

1/n

xp(1−t+2tl−rλrl )−1fenp(x)dx <

n

1/n

yq(1−t+2th−sλsh )−1egnq(y)dy <∞.

For n → ∞, if

0 yq(1−t+2th−sλsh )−1egq (y)dy = ∞, then we have (2.4); if 0 <

0 yq(1−t+2th−sλsh )−1egq(y)dy < ∞, then by using (2.3), both (2.7) and (2.8) still take the form of strict inequalities, and we have (2.4).

On the other hand, if inequality (2.4) holds, then by H¨older’s inequality, we have

(2.8) (T f, g) =

0

0

H(x, y)f (x)g(y)dxdy

=

0

(

y−1+t−2th−sλsh +1q

0

H(x, y)f (x)dx ) (

y1−t+2th−sλsh 1qg(y) )

dy,

{∫

0

yp(t2th−sλsh )−1 (∫

0

H(x, y)f (x)dx )p

dy }p1

{∫

0

yq(1−t+2th−sλsh )−1g(y)dy }1q

.

Hence by (2.4), we have (2.3), and inequalities (2.4) and (2.3) are equivalent.

If the constant factor in (2.4) is not the best possible, by the inequality (T f, g)≤

∥T f∥p,w∥g∥q,we we may get a contradiction that the constant factor in (2.4) is not the best possible.

In the same way, (2.3) and (2.5) are equivalent and the constant factors are the best possible.

Remarks. The results of this paper include many other conclusions which have been published. For instance, in the following we suppose that the integrals in the right of the following inequalities converge to some positive numbers, 1p+1q = 1 , and one omits the words that the constants factors are the best possible.

1) It is easy to see that for t = 0, l = r, p > 1, r = s = 2, λ = 4, H(x, y) =

1

(x+ay)2(x+ay)2, the inequality (2.1) reduces to [9]

0

0

1

(x + ay)2(x + ay)2f (x)g(y)dxdy

< K {∫

0

x−p−1fp(x)dx

}1p{∫

0

y−q−1gq(y)dy }1q

,

where

K =

0

dt

(1 + at)2(1 + at)2 =

{ a+b (b−a)2

[ln(b/a)

b−a a+b2 ]

, if a̸= b,

1

6a2, if a = b.

(7)

2) Setting t = 0, l = r, p > 1, H(x, y) = (max| ln(x/y)|{x,y})λ(λ > 0), then we have [10]

0

0

| ln(x/y)|

(max{x, y})λf (x)g(y)dxdy

< r2+ s2 λ2

{∫

0

xp(1−λ/s)−1fp(x)dx

}1p{∫

0

yq(1−λ/r)−1gq(y)dy }1q

.

3) Setting t = 0, l = r, p > 1, H(x, y) = (x+y)λ−α| ln(x/y)|(max{x,y})β α(λ > 0, α ∈ R, β >

−1), then we have [11]

0

0

| ln(x/y)|β

(x + y)λ−α(max{x, y})αf (x)g(y)dxdy

< Γ(β + 1)Σk=0(α−λ

k

)[ 1

(k +λr)β+1 + 1 (k +λs)β+1

]

× {∫

0

xp(1−λ/s)−1fp(x)dx

}1p{∫

0

yq(1−λ/r)−1gq(y)dy }1q

.

4) Setting t = 0, l = r = 2, p > 1, H(x, y) = arctan

β

xλ/yλ

xλ+yλ (λ > 0, β >−1), then we have [12]

0

0

arctanβxλ/yλ

xλ+ yλ f (x)g(y)dxdy

< 2 λ(β + 1)(π

2)β+1 {∫

0

xp(1−λ/2)−1fp(x)dx

}1p{∫

0

yq(1−λ/2)−1gq(y)dy }1q

.

5) Setting t = 0, l = r, p > 1, H(x, y) = (min|x+y|{x,y}) λ, 0 < λ < 12, then we have

[13] ∫

0

0

(min{x, y})λ

|x + y| f (x)g(y)dxdy

<

[ B

(

1− 2λ, (1 +1 s)λ

) + B

(

1− 2λ, (1 +1 r)λ

)]

× {∫

0

xp(1−λ/r)−1fp(x)dx

}1p{∫

0

yq(1−λ/s)−1gq(y)dy }1q

.

(8)

6) Setting t = 0, l = r, 1 > p > 0, H(x, y) = ln(x/y)xα−yα,α > 0, then we have [14]

0

0

ln(x/y)

xα− yαf (x)g(y)dxdy

>

[ π

α sin(πr)

]2{∫

0

xp(1−λ/s)−1fp(x)dx

}1p{∫

0

yq(1−λ/r)−1gq(y)dy }1q

.

7) Setting

a) t = 1, l = r = p, p > 1, λ = 1, H(x, y) = |x−y|1−αmin1 {xα,yα},0 < α < min{1p,1q} then we have [15]

0

0

1

|x − y|1−αmin{xα, yα}f (x)g(y)dxdy

<

[ B

(1 p− α, α

) + B

(1 q− α, α

)] {∫

0

fp(x)dx

}1p{∫

0

gq(y)dy }1q

,

b)t = 0, λ = 1, l = p, p > 1, H(x, y) = |x−y|1−αmin1 {xα,yα},0 < α < min{1p,1q} then we have [15]

0

0

1

|x − y|1−αmin{xα, yα}f (x)g(y)dxdy

<

[ B

(1 p− α, α

) + B

(1 q − α, α

)] {∫

0

xp−2fp(x)dx

}p1{∫

0

yq−2gq(y)dy }q1

.

8) Setting t = 1, l = r = q, λ = 1, p > 1, H(x, y) = max|x−y|{xαα−1,yα}, α > 0, then [16]

0

0

|x − y|α−1

max{xα, yα}f (x)g(y)dxdy

<

[ B

(1 p, α

) + B

(1 q, α

)] {∫

0

fp(x)dx

}1p{∫

0

gq(y)dy }1q

.

9) Setting t = 1, l = r = p, λ = 1− α, p > 1, H(x, y) = minmax{x{x,y}α,yα}, α≥ 0, then [17]

0

0

min{xα, yα}

max{x, y} f (x)g(y)dxdy < pq 1 + α

{∫

0

xαfp(x)dx

}1p{∫

0

yαgq(y)dy }1q

.

10) Setting t = 1 , l = r = p, p > 1, λ > 2− min{p, q}, H(x, y) = ln(x/y)xλ−yλ, then we have [18]

0

0

ln(x/y)

xλ− yλf (x)g(y)dxdy

(9)

<

[1 λB

(p + λ− 2

,q + λ− 2

)]2{∫

0

x1−λfp(x)dx

}1p{∫

0

y1−λgq(y)dy }1q

11) Setting t = α, l = r = p, 1 > p > 0, λ = αβ, 2− p < 2 − q, H(x, y) =

1

(xα+yα)β, then we have[19]

0

0

1

(xα+ yα)βf (x)g(y)dxdy

> 1 αB

(p + β− 2

p ,q + β− 2 q

) {∫

0

(x1−αf (x))p x1+α(β−2) dx

}1p{∫

0

(y1−αg(y))q y1+α(β−2) dy

}1q .

References

[1] Hardy G. H., Littlewood J. E. and P´olya G., Inequalities, Cambridge University Press, Cambridge, 1952.

[2] Bicheng Yang, On the the norm of an intergal operator and applications, J. Math.

Anal. Appl., 2006, 321: 182-192.

[3] Zitian Xie and Zeng Zheng, A Hilbert-type integral inequality whose kernel is a ho- mogeneous form of degree−3, J.Math.Appl., 2008, (339): 324-331.

[4] Zitian Xie and Zeng Zheng, A Hilbert-type inequality with parameters, Natural science Journal of Xiangtan University, 2007, 29(3): 24-28.

[5] Bicheng Yang, A Hilbert-type inequality with a mixed kemel and extensions, Journal of Sichuan Normal University (Natural Science), 2008, 31(3): 281-284.

[6] Zitian Xie and Fang min Zhou, A Generalization of a Hilbert-type inequality with a best constant factor, Journal of Sichuan Normal University (Natural Science), 2009, 32(5): 626-629.

[7] Zitian Xie and Benlu Fu, A new Hilbert-type integral inequality with a best constant factor, J. Wuhan Univ. (Nat.Sci.Ed), 2009, 55(6): 637-640.

[8] Zitian Xie and Xingdong Liu, A new Hilbert-type integral inequality and its reverse, Journal of Henan University (Science Edition), 2009, 39(1)10-13.

[9] Zitian Xie and Bicheng Yang, A new Hilbert-type integral inequality with some pa- rameters and its reverse, Kyungpook Mathe.J., 2008, (48): 93-100.

[10] Bicheng Yang, On a Hilbert-type integral inequality with multiple-parameters, Journal of Southwest China Normal University(Natural Science), 2007, 32(5): 33-38.

[11] Bicheng Yang, A relation to Hilbert’s integral inequality and some base Hilbert-type inequalities, Journal of inequalities in pure and applied mathematics, 2008, 9(2), Article 59: 1-8.

[12] Bicheng Yang, A base Hilbert-type integral inequality with the homogeneous kernel of -1-degree and extensions, Journal of Guangong Education Institute, 2008, 28(3):

5-10.

(10)

[13] Dongmei Xin, On a new Hilbert-type integral inequality, Kyungpook Math.J., 2009, (49): 393-401.

[14] Wuyi Zhong and Bicheng Yang, A reverse Hilbert’s type integral inequality with some parameters and the equalent forms, Pure and Applied Mathematics, 2008, 24(2), 401-407.

[15] Bicheng Yang, On a Hilbert-type integral inequality with a parameter, Pure and Ap- plied Mathematics, 2008, 24(3), 489-494.

[16] Bicheng Yang, A new Hilbert-type integral inequality, Journal of Jilin University (Sci- ence Edition) 2007, 45(1): 63-67.

[17] Bicheng Yang, A Hilbert-type integral inequality, Journal of Zhejiang University (Sci- ence Edition), 2007, 34(2): 121-124.

[18] Bicheng Yang, An extension of the Hilbert’s type integral inequality and its applica- tions , J. of Math., (PRC)2007, 27(3): 285-290.

[19] Bicheng Yang, On a reverse Hardy-Hilbert’s inequality ,Kyungpook Mathe.J., 2007, (47): 411-423.

[20] Zitian Xie and Ju-min Mu Rong, A New Hilbert type Inequality with some parameters, Journal of South China Normal University (Natural Science Edition) 2008, 120(2):

38-42.

[21] Zitian Xie, A reverse Hilbert-type inequality with a best constant Factor, J. Math.

Anal. Appl., 2008, 343: 1154-1160.

[22] Jichang Kang, Applied Inequalities, Shangdong Science and Technology press, Jinan, 2004.

참조

관련 문서

In 1987, Brown [2] provided a structure theorem for a class of perfect ideals of grade 3 with type 2 and λ(I) &gt; 0, where λ(I) is the numerical invariant introduced by

Following the same ideas, we will give in Theorem 2.4 conditions for the equivalence of the properties (W Π ) and generalized Browder’s theorem, showing also that property (W Π

The efficiency of this type of energy transfer is dependent on the spectral overlap between the emission and the absorption spectra ( J(λ)), the relative orientation of

In this paper, a Top-K OLAP recommendation system for OLAP sessions is designed to fill up this blank using collaborative filtering technique, the kernel module of which

bility of our experimental setup, because viscoelastic property of ppy during electrochemical deposition has been recently examined in the electrolyte solution by Muramatsu et

Roumeliotis, A reverse of Bessel’s inequal- ity in 2-inner product spaces and some Gr¨ uss type related results with

Any control design technique, linear or nonlinear, may be used speed control: PID (proportional integral derivative) control or a more sophisticated methodology,

• 대부분의 치료법은 환자의 이명 청력 및 소리의 편안함에 대한 보 고를 토대로