• No results found

On a half discrete inequality with a generalized homogeneous kernel

N/A
N/A
Protected

Academic year: 2020

Share "On a half discrete inequality with a generalized homogeneous kernel"

Copied!
15
0
0

Loading.... (view fulltext now)

Full text

(1)

R E S E A R C H

Open Access

On a half-discrete inequality with a generalized

homogeneous kernel

Bing He

*

and Bicheng Yang

* Correspondence: hzs314@163. com

Department of Mathematics, Guangdong University of Education, Guangzhou 510303, P. R. China

Abstract

By introducing a real number homogeneous kernel and estimating the weight function through the real function techniques, a half-discrete inequality with a best constant factor is established. In addition, the operator expressions, equivalent forms, reverse inequalities and some particular cases are given.

Mathematics Subject Classification (2000): 26D15.

Keywords:Hilbert?’?s inequality, weight function, H?ö?lder?’?s inequality

1. Introduction

One hundred years ago, Hilbert proved the following classic inequality [1]

n

m ambn m+nπ

n a2n

1/2

n b2n

1/2

. (1:1)

During the past century, ever since the advent the inequality (1.1), numerous related results have been obtained. The inequality (1.1) may be classified into several types (discrete and integral etc.), being the following integral form:

Iff, g are real functions such that0<0f2(x) dx<∞, 0<0g2(x) dx<∞, then we have [1]

0

0

f(x)g(y)

x+y dxdy< π

⎧ ⎨ ⎩

0

f2(x)dx

0

g2(x)dx

⎫ ⎬ ⎭

1 2

, (1:2)

where the constant factorπis the best possible. Inequality (1.2) had been generalized by Hardy-Riesz in 1925 as [1]:

Ifp> 1, 1

p + 1

q = 1,f,g≥0such that0<

0 fp(x)dx,

0 gq(x)dx<∞, then

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

, (1:3)

(2)

where the constant factor π

sin

π

p

is the best possible. Inequality (1.3) is named as

Hardy-Hilbert’s integral inequality, which is of great importance in analysis and its applications [2-4]. Its generalization can be seen in [5-11].

Until now, we only studied the related inequalities with pure discrete or integral inequalities, but half-discrete inequality is very rare in the literature [12-14]. Now we attempt investigation for it, lots of related results will appear in the coming future.

The main purpose of this article is to establish a half-discrete inequality with the

mixed homogeneous kernel of real number degree. For example: If

0<0xp(1−λ1)−1fp(x)dx<, 0<

n=1nq(1−λ2)−1a

q

n<∞, then

n=1

an

0

f(x) (max{x,n})αdx

< λα

1λ2

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q ,

(1:4)

wherea=l1+l2, 0 <l1<aand the constant factor

α

λ1λ2is the best possible.

Mean-while, the extended inequality, operator expressions, reverse inequality, and equivalent forms are given. We hope this work will expand our understanding of inequality and the scope of the study.

2. Lemmas

LEMMA 2.1. Let a, b Î ℝ and l1 + l2 = a - b, -b <l1 <a, l2 ≤ 1 - b,

kλ1 := 1

αλ1

+ 1

β+λ1

define the weight function and the weight coefficient as follows

ω(n) :=nλ2

0

(min{x,n})β (max{x,n})α ·x

λ1−1dx,nN

+, (2:1)

(x) :=xλ1

n=1

(min{x,n})β (max{x,n})α ·n

λ2−1,x(0,),

(2:2)

then

0<kλ1(1−θλ(x))< (x)< ω(n) =kλ1, (2:3)

where

θλ(x) :=k1 λ1

1/x

0

(min{1,t})β (max{1,t})α ·t

λ2−1dt= ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

1 1

1

β+λ2

+1−x

α−λ2

αλ2

,x∈(0, 1),

x−(β+λ2) (β+λ2)1

=O

1 +λ2

(3)

Proof. For fixedn, lett= x

n, substituting intoω(n) gives

ω(n) =

0

(min{1,t})β

(max{1,t})α ·tλ1−1dt

=

1

0

+λ1−1dt+

1

tα+λ1−1dt

= 1

αλ1

+ 1

β+λ1

=kλ1.

In view ofl2 ≤1 -b,a-l2 =b+l1> 0, for fixedx> 0, the function

(min{x,y})β

(max{x,y})α ·yλ2−1=

xαyβ+λ2−1, 0<y<x,

xβyα+λ2−1,yx

is monotonically decreasing with respect to y, then

(x)<xλ1

0

(min{x,y})β (max{x,y})α ·y

λ2−1dy (t=y/x)

=

0

(min{1,t})β (max{1,t})α ·t

λ2−1dt= 1

0

+λ2−1dt+

1

tα+λ2−1dt

= 1

β+λ2

+ 1

αλ2

= 1

αλ1

+ 1

β+λ1

=kλ1.

(x)>xλ1

0

(min{x,y})β

(max{x,y})α ·yλ2−1dy (t=y/x)

=

1/x

(min{1,t})β (max{1,t})α ·t

λ2−1dt

=kλ1

1/x

0

(min{1,t})β (max{1,t})α ·t

λ2−1dt=k

λ1(1−θλ(x))>0.

where θλ(x) = 1 kλ1

1/x

0

(min{1,t})β

(max{1,t})α ·tλ2−1dt. IfxÎ(0,1), then

θλ(x) = 1 kλ1

⎛ ⎜ ⎝

1

0

+λ2−1dt+

1/x

1

tα+λ2−1dt

⎞ ⎟ ⎠= 1

kλ1

1

β+λ2

+1−x αλ2

αλ2

;

ifxÎ [1,∞), then

θλ(x) = 1 kλ1

1/x

0

+λ2−1dt= x

−(β+λ2)

(β+λ2)kλ1 =O

1 +λ2

.

(4)

In what follows,a,bwill be real numbers such thatl1+l2=a-b, -b<l1 <a,l2≤

1 - b.

LEMMA 2.2.Suppose that p> 0(p≠1),1

p+ 1

q = 1,an≥0,f(x)is a non-negative

mea-surable function in (0,∞),then

(a) if p> 1, then the following two inequalities hold:

J:=

n=1

npλ2−1

⎡ ⎣

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎦

pkpλ1

0

xp(1−λ1)−1fp(x)dx, (2:4)

L:=

0

xqλ1−1

n=1

(min{x,n})β (max{x,n})αan

!q

dx≤kqλ1

n=1

nq(1−λ2)−1aqn; (2:5)

(b) if 0 <p< 1,then we have

Jkpλ1

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx, (2:6)

"L:=

0

xqλ1−1

[1−θλ(x)]q−1

n=1

(min{x,n})β (max{x,n})αan

!q

dx≤kqλ1

n=1

nq(1−λ2)−1aqn. (2:7)

Proof. (a) Using Hölder’s inequality with weight [15] and (2.3) gives ⎡

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎦

p

=

⎧ ⎨ ⎩

0

(min{x,n})β (max{x,n})α

x(1−λ1)/q n(1−λ2)/pf(x)

!

n(1−λ2)/p x(1−λ1)/q

!

dx

⎫ ⎬ ⎭

p

0

(min{x,n})β (max{x,n})α

x(1−λ1)(p−1) n1−λ2 f

p(x)dx

⎡ ⎣

0

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1) x1−λ1 dx

⎤ ⎦

p−1

=

0

(min{x,n})β (max{x,n})α

x(1−λ1)(p−1) n1−λ2 fp(x)dx

#

nq(1−λ2)−1ω(n)

$p−1

=npλ2+1kpλ1−1

0

(min{x,n})β (max{x,n})α

x(1−λ1)(p−1)

(5)

Jkpλ1−1

n=1

0

(min{x,n})β (max{x,n})α

x(1−λ1)(p−1)

n1−λ2 f

p(x)dx

=kpλ1−1

0

xλ1

n=1

(min{x,n})β (max{x,n})αn

λ2−1

!

xp(1−λ1)−1fp(x)dx

=kpλ1−1

0

(x)xp(1−λ1)−1fp(x)dx≤kpλ1

0

xp(1−λ1)−1fp(x)dx.

(2:8)

Hence (2.4) is valid. By similar reasoning to the above it may be shown that

n=1

(min{x,n})β (max{x,n})αan

!q

=

n=1

(min{x,n})β (max{x,n})α

x(1−λ1)/q n(1−λ2)/p

!

n(1−λ2)/p x(1−λ1)/qan

!q

≤[(x)xp(1−λ1)−1]q−1

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1) x1−λ1 a

q n

=kqλ1−1xqλ1+1

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1) x1−λ1 a

q n.

(2:9)

Lkqλ1−1

0

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1) x1−λ1 a

q ndx

=kqλ1−1

n=1

⎡ ⎣nλ2

0

(min{x,n})β (max{x,n})αxλ1−1dx

nq(1−λ2)−1aqn

=kqλ1−1

n=1

ω(n)nq(1−λ2)−1aqn=kqλ1

n=1

nq(1−λ2)−1aqn.

Thus (2.5) is valid.

(b) Similarly, using the reverse Hölder’s inequality with weight [15] and (2.3) gives (2.6) and (2.7).

LEMMA 2.3.Suppose that0 <q < 1,1

p+ 1

q = 1,an≥0,f(x)is a non-negative

measur-able function in(0,∞),then (Let J, L be as in Lemma 2.2)

Jkpλ1

0

xp(1−λ1)−1fp(x)dx, (2:10)

Lkqλ1

n=1

(6)

Proof. Applying Hölder’s inequality [15] and (2.3), where p< 0 gives ⎡

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎦

p

=

⎧ ⎨ ⎩

0

(min{x,n})β (max{x,n})α

x(1−λ1)/q n(1−λ2)/pf(x)

!

n(1−λ2)/p x(1−λ1)/q

!

dx

⎫ ⎬ ⎭

p

0

(min{x,n})β (max{x,n})α

x(1−λ1)(p−1)

n1−λ2 fp(x)dx

⎡ ⎣

0

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1)

x1−λ1 dx

⎤ ⎦

p−1

=

0

(min{x,n})β (min{x,n})α

x(1−λ1)(p−1)

n1−λ2 fp(x)dx

#

nq(1−λ2)−1ω(n)$p−1

=npλ2+1kpλ1−1

0

(min{x,n})β (max{x,n})α

x(1−λ1)(p−1)

n1−λ2 f

p(x)dx.

Jkpλ1−1

n=1

0

(min{x,n})β (max{x,n})α

x(1−λ1)(p−1)

n1−λ2 fp(x)dx

=kpλ1−1

0

xλ1

n=1

(min{x,n})β (max{x,n})αnλ2−1

!

xp(1−λ1)−1fp(x)dx

=kpλ1−1

0

(x)xp(1−λ1)−1fp(x)dx≤kpλ1

0

xp(1−λ1)−1fp(x)dx

(2:12)

Hence (2.10) is valid. By similar reasoning to the above, in view of 0 <q < 1, it may be shown that

n=1

(min{x,n})β (max{x,n})αan

!q

=

n=1

(min{x,n})β (max{x,n})α

x(1−λ1)/q n(1−λ2)/p

!

n(1−λ2)/p x(1−λ1)/qan

!q

≥[(x)xp(1−λ1)−1]q−1

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1)

x1−λ1 a q n

kqλ1−1xqλ1+1

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1)

x1−λ1 a

q n.

(7)

Lkqλ1−1

0

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1)

x1−λ1 a

q ndx

=kqλ1−1

n=1

⎡ ⎣nλ2

0

(min{x,n})β (max{x,n})αx

λ1−1dx

nq(1−λ2)−1aqn

=kqλ1−1

n=1

ω(n)nq(1−λ2)−1aqn=kqλ1

n=1

nq(1−λ2)−1aqn.

Thus (2.11) is valid.

3. Main results

THEOREM 3.1. If p > 1, 1

p + 1

q = 1, an ≥ 0, f(x) ≥ 0 such that 0<n=1nq(1−λ2)−1aq

n<∞and0<n=1nq(1−λ2)−1a

q

n<∞, then we have the following

equivalent inequalities

I: =

n=1

an

0

(min{x,n})β

(max{x,n})αf(x)dx=

0

f(x)

n=1

(min{x,n})β (max{x,n})αandx

<kλ1

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p p

n=1

nq(1−λ2)−1aqn

1/q ,

(3:1)

J=

n=1

npλ2−1

⎡ ⎣

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎦

p

<kpλ1

0

xp(1−λ1)−1fp(x)dx, (3:2)

L=

0

xqλ1−1

n=1

(min{x,n})β (max{x,n})αan

!q

dx<kqλ1

n=1

nq(1−λ2)−1aqn, (3:3)

where the constant factorkλ1 = 1

αλ1

+ 1

β+λ1

,kpλ1,kqλ1,are the best possible.

Proof. Using Lebesgue term-by-term integration theorem, there are two forms ofIof (3.1). In view of0<0xp(1−λ1)−1fp(x)dx<, (2.8) takes the strict inequality, thus

(3.1) is valid. On one hand, using Hölder’s inequality [15] gives

I=

n=1 ⎡ ⎢ ⎣n

λ2−

1 p

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎥ ⎦ ⎡ ⎢ ⎣n

1 p−λ2an

⎤ ⎥ ⎦≤J1/p=

n=1

nq(1−λ2)−1aq n

1/q

. (3:4)

By (3.2), (3.1) is valid. On the other hand, suppose that (3.1) is valid. Let

an:=npλ2−1

⎡ ⎣

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎦

p−1

(8)

then from (3.1), it follows

n=1

nq(1−λ2)−1aqn=J=Ikλ1

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q .(3:5)

By (2.8) and the conditions, it follows thatJ<∞. IfJ = 0, then (3.2) is naturally valid. If J> 0, in view of the conditions of (3.1), then (3.5) takes the strict inequality, and

J1/p

n=1

nq(1−λ2)−1aqn

1/p

<kλ1

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p .

Hence (3.2) is valid, which is equivalent to (3.1).

On one hand, in view of the conditions, (2.9) takes the strict inequality, thus (3.3) is valid. Using Hölder’s inequality [15] gives

I=

0

n=1

an(min{x,n}) β (max{x,n})αf(x)dx

=

0

⎡ ⎢ ⎣x

1 qλ1f(x)

⎤ ⎥ ⎦

⎡ ⎢ ⎣x

λ1−1

q ann=1

(min{x,n})β (max{x,n})α

⎤ ⎥ ⎦dx

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)

⎫ ⎬ ⎭

1/p L1/q.

(3:6)

By (3.3), (3.1) is valid. On the other hand, suppose that (3.1) is valid. Let

f(x) :=xqλ1−1

n=1

(min{x,n})β (max{x,n})αan

!q−1

,x∈(0,∞).

Applying (3.1) gives

0

xp(1−λ1)−1fp(x) =L=I

kλ1

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q .

(3:7)

By (2.9) and the conditions, it follows that L <∞. If L = 0, then (3.3) is naturally valid. If L> 0, in view of the conditions of (3.1), then (3.7) takes the strict inequality, and

L1/q=

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)

⎫ ⎬ ⎭

1/q

<kλ1

n=1

nq(1−λ2)−1aqn

1/q .

(9)

For any 0 <ε<ql2, suppose that"

f(x) = 0,x∈(0, 1);"f(x) =x λ1ε

p−1,x[1,)and

"an=n λ2ε

q−1,nN

+

. Assuming there exists a positive number kwith kkλ1, such

that (3.1) is still valid by changingkλ1tok. In particular, on one hand,

"I=

n=1

"an

0

(min{x,n})β (max{x,n})α"f(x)dx

<k

⎧ ⎨ ⎩

0

xp(1−λ1)−1"fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1"aqn

1/q

=k

⎛ ⎝

1

x−1−εdx

⎞ ⎠

1/p 1 +

n=2

n−1−ε

1/q

<k

1

ε 1/p

⎝1 +

1

x−1−εdx

⎞ ⎠

1/q = k

ε(ε+ 1)1/q.

(3:8)

On the other hand, by monotonicity and Fubini theorem, it follows that

"I=

1

xλ1

ε

p−1

⎡ ⎣∞

n=1

nλ2

ε

q−1(min{x,n})β (max{x,n})α

⎤ ⎦dx

1

x λ1ε

p−1

⎡ ⎣

1

y λ2ε

q−1(min{x,y})β (max{x,y})αdy

⎦dx, (t=y/x)

=

1

xε−1

⎡ ⎢ ⎣

1/x t

λ2ε

q−1(min{x,t})β (max{x,t})αdt

⎤ ⎥ ⎦dx.

=

1

xε−1

⎡ ⎢ ⎣

1

1/x t

λ2ε

q−1(min{1,t})β (max{1,t})αdt

⎤ ⎥ ⎦dx+ 1

ε

1

t λ2ε

q−1(min{1,t})β (max{1,t})αdt

=

1

0

(min{1,t})β (max{1,t})α

⎛ ⎜ ⎝

1/t

xε−1dx

⎞ ⎟ ⎠t

λ2ε

q−1dt+1

ε

1

t λ2ε

q−1(min{1,t})β (max{1,t})αdt

= 1

ε

1

0

(min{1,t})β (max{1,t})αt

λ2+ε

p−1dt+1

ε

1

t λ2ε

q−1(min{1,t})β (max{1,t})αdt.

(3:9)

Applying (3.8) and (3.9) gives

1

0

(min{1,t})β (max{1,t})αt

λ2+ε

p−1dt+

1

t λ2ε

q−1(min{1,t})β

(10)

Using Fatou theorem gives

kλ1 =

1

0

lim ε→0+

(min{1,t})β (max{1,t})αt

λ2+ε

p−1dt+

1

lim ε→0+t

λ2ε

q−1(min{1,t})β (max{1,t})αdt

≤ lim

ε→0+

⎡ ⎣

1

0

(min{1,t})β (max{1,t})αt

λ2+ε

p−1dt+

1

t λ2ε

q−1(min{1,t})β (max{1,t})αdt

⎤ ⎦

εlim

0+k(ε+ 1) 1/q=k.

Hencek=kλ1is the best constant factor of (3.1). It is obvious that the constant factor in (3.2) (or (3.3)) is the best possible. Otherwise, by (3.4) (or (3.6)), we may get a con-tradiction that the constant factor in (3.1) is not the best possible. This completes the proof.

Remark 1. Let (x) =xp(1−λ1)−1, x Î (0,∞) and (n) =nq(1−λ2)−1, n Î N+, then [(x)]1−q=xqλ1−1, [(n)]1−p=npλ2−1.

(i) A half-discrete Hilbert’s operatorT:Lp,(0,∞)→lp,1−pis defined by:

Tf(n) =

0

hλ(x,n)f(x)dx,n≥1.

where fLp,(0,∞),Tflp,1−p,hλ(x,n) =

(min{x,n})β

(max{x,n})α,λ=:αβ. Then by (3.2),

it follows that:''Tf''p,1−pkλ1''f''p,, i.e.,Tis a bounded operator withT=kλ1. Since

the constant factor in (3.2) is the best possible, we haveT=kλ1.

(ii) Similarly, another half-discrete Hilbert’s operator "T:lq,Lq,1−q(0,∞) is

defined by:

"Ta(x) =

1

hλ(x,n)an,x∈(0,∞).

where alq,,"TaLq,1−q(0,∞). Then by (3.3), it follows that:

''"Ta''q,1−qkλ1aq,. In another word,Tis a bounded operator with''"T''≤kλ1. Since

the constant factor in (3.3) is the best possible, we obtain''"T''≤kλ1.

THEOREM 3.2. If 0 <p < 1,

1 p +

1

q = 1,θλ(x) := 1 kλ1

1/x

0

(min{1,t})β (max{1,t})α ·t

λ2−1(x(0,∞)), a

n ≥ 0, f(x)≥ 0 such that

0<n=1nq(1−λ2)−1aqn<∞and0<

n=1nq(1−λ2)−1a

q

n<∞, then we have the following

equivalent inequalities (Let I, J be as in Theorem 3.1)

I>kλ1

⎧ ⎨ ⎩

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q

(11)

J>kpλ1

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx, (3:11)

"L=

0

xqλ1−1

[1−θλ(x)]q−1

n=1

(min{x,n})β (max{x,n})αan

!q

dx<kqλ1

n=1

nq(1−λ2)−1aqn, (3:12)

where the constant factorkλ1 = 1

αλ1

+ 1

β+λ1

,kpλ1,kqλ1are the best possible.

Proof. Similar to (2.8), by the reverse Hölder’s inequality [15], (2.3) and the condi-tions, we have

Jkpλ1−1

0

(x)xp(1−λ1)−1fp(x)dx>kpλ1

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx, (3:13)

thus (2.11) is valid. On one hand, by the reverse Hölder’s inequality [15], we obtain the reverse form of (3.4) as follows

I=

n=1

⎡ ⎢ ⎣n

λ2−

1 p

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎥ ⎦ ⎡ ⎢ ⎣n

1 p−λ2an

⎤ ⎥ ⎦≥J1/p

n=1

nq(1−λ2)−1aq n

1/q

. (3:14)

by (3.11), (3.10) is valid. On the other hand, suppose that (3.10) is valid. Let

an=npλ2−1

⎡ ⎣

0

(min{x,n})β (max{x,n})αf(x)dx

⎤ ⎦

p−1

,nN+.

Applying (3.10) gives

n=1

nq(1−λ2)−1aqn=J=I

kλ1

⎧ ⎨ ⎩

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q ,

(3:15)

By (3.13) and the conditions, it follows that J > 0. If J=∞, then (3.11) is naturally valid. If J<∞, in view of the conditions and (3.10), then (3.15) takes the strict inequal-ity, and

J1/p=

n=1

nq(1−λ2)−1aqn

1/q

>kλ1

⎧ ⎨ ⎩

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p .

Hence (3.11) is valid, which is equivalent to (3.10).

(12)

n=1

(min{x,n})β (max{x,n})αan

!q

≤[ω(x)xp(1−λ1)−1]q−1

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1) x1−λ1 a

q n

<kqλ1−1(1−θλ(x))x−qλ1+1

n=1

(min{x,n})β (max{x,n})α

n(1−λ2)(q−1)

x1−λ1 a q n.

(3:16)

Similarly, we get (3.12). Applying the reverse Hölder’s inequality [15] gives

I=

0

⎡ ⎢

⎣(1−θλ(x))1/px 1 qλ1f(x)

⎤ ⎥ ⎦

⎡ ⎢ ⎢ ⎢ ⎣

x λ1−1

q

(1−θλ(x))1/p

n=1

(min{x,n})β (max{x,n})α ·an

⎤ ⎥ ⎥ ⎥ ⎦dx

⎧ ⎨ ⎩

0

(1−θλ(x))xp(1−λ1)−1fp(x)

⎫ ⎬ ⎭

1/p

"L1/q.

(3:17)

By (3.12), (3.10) is valid. On the other hand, suppose that (3.10) is valid. Let

f(x) = x

qλ1−1

(1−θλ(x))q−1

n=1

(min{x,n})β (max{x,n})αan

!q−1

,x∈(0,∞),

applying (3.10) gives

0

(1−θλ(x))xp(1−λ1)−1fp(x) ="L=I

kλ1

⎧ ⎨ ⎩

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q .

(3:18)

By (3.16) and the conditions, it follows that "L<. If "L= 0, then (3.12) is naturally valid. If "L>0, in view of the conditions of (3.10), then (3.18) takes the strict inequal-ity, and

"L1/q=

0

(1−θλ(x))xp(1−λ1)−1fp(x)dx

(1/q

>kλ1

n=1

nq(1−λ2)−1aq

n

(1/q .

In view of q < 0, hence (3.12) is valid, which is equivalent to (3.10). Thus (3.10), (3.11) and (3.12) are equivalent to each other.

For any 0 <ε<p(l1+b), suppose that "

f(x) = 0,x∈(0, 1);"f(x) =x λ1ε

p−1,x[1,)

and

"an=nλ2

ε

q−1,nN

+

. Assuming there exists a positive numberKwith Kkλ1,

(13)

"I>K

⎧ ⎨ ⎩

0

(1−θλ(x))xp(1−λ1)−1"fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1"aqn

1/q

=K

⎛ ⎝

1

(1−θλ(x))x−1−εdx

⎞ ⎠

1/p 1 +

n=1

n−1−ε

1/q

=K

⎛ ⎝

1

x−1−εO

1 +λ2+ε+1

dx

⎞ ⎠

1/p 1 +

n=2

n−1−ε

1/q

>K

1

εO(1)

1/p

⎝1 +

1

x−1−εdx

⎞ ⎠

1/q = K

ε(1−εO(1))

1/p(ε+ 1)1/q.

(3:19)

On the other hand,

˜ I

n=1

nλ2ε q−1

0

xλ1ε

p−1(min{x,n}) β

(min{x,n})αdx

=

n=1

nλ2εq−1

⎛ ⎝nα

n

0

xλ1+βεp−1dx+nβ

n

xλ1αεp−1dx

⎞ ⎠

=

1

λ1+βεp

+ 1

αλ1+ εp

n=1

n−1−ε = (kλ1+o(1))

n=1

n−1−ε

≤(kλ1+o(1))

⎛ ⎝1 +

1

x−1−εdx

⎞ ⎠= 1 +ε

ε (kλ1+o(1)).

(3:20)

By (3.19) and (3.20), it may be shown that

(1 +ε)(kλ1+o(1))>K(1 +εO(1))1/p(ε+ 1)1/q. (3:21)

Let ε® 0+, then kλ1K. HenceK =kλ1is the best constant factor of (3.10). It is obviously that the constant factor in (3.11) (or (3.12)) is the best possible. Otherwise, by (3.14) (or (3.17)), we may get a contradiction that the constant factor in (3.10) is not the best possible. This completes the proof.

THEOREM 3.3. If 0 <q < 1, 1

p + 1

q = 1, an ≥ 0, f(x) ≥ 0 such that

0<n=1nq(1−λ2)−1aq

n<∞and 0<n=1nq(1−λ2)−1a

q

n<∞, then the following

inequalities hold and are equivalent (Let I, J, L be as in Theorem 3.1):

I>kλ1

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q

, (3:22)

J<kqλ1

0

(14)

L>kqλ1

n=1

nq(1−λ2)−1aqn, (3:24)

where the constant factorkλ1 = 1

αλ1

+ 1

β+λ1

,kpλ1,kqλ1are the best possible.

Proof In view ofp< 0, the proof can be completed by following the same steps as in the proof of Theorem 3.2, thus we omit the details.

Remark 2. (1) In particular, if b = 0, 0 <l1 <a, l2 ≤ 1, l1 +l2 = a, then (3.1)

reduces to (1.4), (3.2), and (3.3) reduce to the following inequalities respectively, which are equivalent to (1.4):

n=1

npλ2−1

⎡ ⎣

0

f(x) (max{x,n})αdx

⎤ ⎦

p

<

α λ1λ2

p

0

xp(1−λ1)−1fp(x)dx, (3:25)

0

xqλ1−1

n=1

an (max{x,n})α

!q dx<

α λ1λ2

q

n=1

nq(1−λ2)−1aqn. (3:26)

(2) Ifa= 0, -b<l1< 0,l2 ≤1 -b,l1 +l2 = -b, then (3.1)-(3.3), respectively, reduce

to the following equivalent inequalities:

n=1

an

0

(min{x,n})βf(x)dx

< λβ

1λ2

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q ,

(3:27)

n=1

npλ2−1

⎡ ⎣

0

(min{x,n})βf(x)dx

⎤ ⎦

p

<

β

λ1λ2

p

0

xp(1−λ1)−1fp(x)dx, (3:28)

0

xqλ1−1

n=1

(min{x,n})βan

!q dx<

β

λ1λ2

q

n=1

nq(1−λ2)−1aqn. (3:29)

(3) If a=b, -a <l1<a,l2≤ 1 -a,l1 +l2 = 0, then (3.1)-(3.3), respectively, reduce

to the following equivalent inequalities:

n=1

an

0

min{x,n}

max{x,n}

α f(x)dx

< 2α α2λ2

1

⎧ ⎨ ⎩

0

xp(1−λ1)−1fp(x)dx

⎫ ⎬ ⎭

1/p

n=1

nq(1−λ2)−1aqn

1/q ,

(15)

n=1

npλ2−1

⎡ ⎣

0

min{x,n} max{x,n}

α f(x)dx

⎤ ⎦

p

<

2α

α2λ2 1

p

0

xp(1−λ1)−1fp(x)dx, (3:31)

0

xqλ1−1

n=1

min{x,n} max{x,n}

α an

!q dx<

2α

α2λ2 1

q

n=1

nq(1−λ2)−1aqn. (3:32)

Acknowledgements

The study was partially supported by the Emphases Natural Science Foundation of Guangdong Institution of Higher Learning, College and University (No. 05Z026).

Authors’contributions

BH drafted the manuscript. BY conceived of the study, and participated in its design and coordination. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Received: 10 November 2011 Accepted: 15 February 2012 Published: 15 February 2012

References

1. Hardy, GH, Littlewood, JE, Pólya, G: Inequalities. Cambridge University Press, Cambridge, UK (1934)

2. Mitrinović, DS, Pečarić, JE, Fink, AM: Inequalities Involving Functions and their Integrals and Derivatives. Kluwer Academic Publishers, Boston, MA (1991)

3. Yang, B: The Norm of Operator and Hilbert-Type Inequalities. Science Press, Beijing, China (2009)

4. Yang, B: Discrete Hilbert-Type Inequalities. Bentham Science Publishers Ltd., Arabia Unites a Tribal Chief Country (2011) 5. Brnetić, I, Pečarić, J: Generalization of Hilbert’s integral inequality. Math Inequal Appl.7(2):199–205 (2004)

6. Krnić, M, Pečarić, J: Hilbert’s inequalities and their reverses. Publ Math Debrecen.67(3-4):315–331 (2005) 7. Krnić, M: Multidimensional Hilbert-type inequality on the weighted Orlicz spaces. Mediterr J Math. (2011)

8. Azar, L: On some extensions of Hardy-Hilbert’s inequality and applications. J Inequal Appl, vol2009, 12 (2009). Article ID 546829

9. Jin, J, Debnath, L: On a Hilbert-type linear series operator and its applications. J Math Anal Appl.371, 691–704 (2010). doi:10.1016/j.jmaa.2010.06.002

10. Zhong, W: The Hilbert-type integral inequality with a homogeneous kernel of Lambda-degree. J Inequal Appl2008, 13 (2008). Article ID 917392

11. Li, Y, He, B: On inequalities of Hilbert’s type. Bull Aust Math Soc.76(1):1–13 (2007). doi:10.1017/S0004972700039423 12. Yang, B: A mixed Hilbert-type inequality with a best constant factor. Int J Pure Appl Math.20(3):319328 (2005) 13. Yang, B: A half-discrete Hilbert’s inequality. J Guangdong Univ Edu.31(3):1–7 (2011)

14. Yang, B, Chen, Q: A half-discrete Hilbert-type inequality with a homogeneous kernel and an extension. J Inequal Appl. 2011, 21 (2011). doi:10.1186/1029-242X-2011-21

15. Kuang, J: Applied Inequalities. Shangdong Science Technic Press, Jinan, China (2004)

doi:10.1186/1029-242X-2012-30

Cite this article as:He and Yang:On a half-discrete inequality with a generalized homogeneous kernel.Journal of Inequalities and Applications20122012:30.

Submit your manuscript to a

journal and benefi t from:

7 Convenient online submission 7 Rigorous peer review

7 Immediate publication on acceptance 7 Open access: articles freely available online 7 High visibility within the fi eld

7 Retaining the copyright to your article

References

Related documents

By applying the way of real and complex analysis and estimating the weight functions, we build a new Hilbert-type integral inequality in the whole plane with the homogeneous kernel

Keywords: weighted Jensen ’ s discrete inequality, right convex function, left convex function, half convex function..

By using the way of weight functions and the technique of real analysis, a new Hilbert-type integral inequality with the non-homogeneous kernel in the whole plane with the best

By using the way of weight functions and Jensen-Hadamard ’ s inequality, a more accurate half-discrete Mulholland ’ s inequality with a best constant factor is given.. Inequalities

By means of weight functions and Hermite-Hadamard’s inequality, a new half-discrete Mulholland-type inequality with a best constant factor is given.. On the other hand, we have

Using the way of weight functions and the idea of introducing parameters, and by means of Hermite-Hadamard’s inequality, a more accurate reverse half-discrete Hilbert-type

By using the way of weight functions and Hadamard’s inequality, a half-discrete Hilbert-type inequality similar to Mulholland’s inequality with a best constant factor is

At the same time, a half-discrete Hilbert- type inequality with a general non-homogeneous kernel and a best constant factor is given by Yang [15].. In this paper, by using the way