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volume 7, issue 1, article 30, 2006.

Received 17 February, 2004;

accepted 10 November, 2005.

Communicated by:L. Pick

Abstract Contents

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Journal of Inequalities in Pure and Applied Mathematics

AN EXTENDED HARDY-HILBERT INEQUALITY AND ITS APPLICATIONS

JIA WEIJIAN AND GAO MINGZHE

Department of Mathematics and Computer Science Normal College, Jishou University

Jishou Hunan 416000, People’s Republic of China.

EMail:[email protected]

c

2000Victoria University ISSN (electronic): 1443-5756

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An Extended Hardy-Hilbert Inequality and Its Applications

Jia Weijian and Gao Mingzhe

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Abstract

In this paper, it is shown that an extended Hardy-Hilbert’s integral inequality with weights can be established by introducing a power-exponent function of the formax1+x(a >0, x∈[0,+∞)), and the coefficient π

(a)1/q(b)1/psinπ/pis shown to be the best possible constant in the inequality. In particular, for the casep= 2, some extensions on the classical Hilbert’s integral inequality are obtained. As applications, generalizations of Hardy-Littlewood’s integral inequality are given.

2000 Mathematics Subject Classification:26D15.

Key words: Power-exponent function, Weight function, Hardy-Hilbert’s integral in- equality, Hardy-Littlewood’s integral inequality.

The author is grateful to the referees for valuable suggestions and helpful comments in this subject.

Contents

1 Introduction. . . 3 2 Main Results . . . 6 3 Application . . . 16

References

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An Extended Hardy-Hilbert Inequality and Its Applications

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1. Introduction

The famous Hardy-Hilbert’s integral inequality is (1.1)

Z

0

Z

0

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

≤ π sinπp

Z

0

fp(x)dx

1p Z

0

gq(y)dy 1q

, where p > 1, q = p/(p−1)and the constant sinππ

p

is best possible (see [1]).

In particular, when p = q = 2, the inequality (1.1) is reduced to the classical Hilbert integral inequality:

(1.2) Z

0

Z

0

f(x)g(y)

x+y dxdy≤π Z

0

f2(x)dx

12 Z

0

g2(y)dy 12

, where the coefficientπis best possible.

Recently, the following result was given by introducing the power function in [2]:

(1.3) Z b

a

Z b

a

f(x)g(y) xt+yt dxdy

ω(t, p, q) Z b

a

x1−tfp(x)dx 1p

×

ω(t, q, p) Z b

x1−tgq(x)dx 1q

,

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wheret is a parameter which is independent of xandy, ω(t, p, q) = tsinπ π pt

− ϕ(q)and here the functionϕis defined by

ϕ(r) = Z a/b

0

ut−2+1/r

1 +ut du, r =p, q.

However, in [2] the best constant for (1.3) was not determined.

Afterwards, various extensions on the inequalities (1.1) and (1.2) have ap- peared in some papers (such as [3,4] etc.). The purpose of the present paper is to show that if the denominator x+yof the function on the left-hand side of (1.1) is replaced by the power-exponent functionax1+x +by1+y, then we can obtain a new inequality and show that the coefficient π

(a)1/q(b)1/psinπ/p is the best constant in the new inequality. In particular if p = 2 then several extensions of (1.2) follow. As its applications, it is shown that extensions on the Hardy- Littlewood integral inequality can be established.

Throughout this paper we stipulate thata >0andb >0.

For convenience, we give the following lemma which will be used later.

Lemma 1.1. Leth(x) = 1+x+xx lnx, x ∈ (0,+∞), then there exists a function ϕ(x) 0≤ϕ(x)< 12

, such thath(x) = 12 −ϕ(x).

Proof. Consider the function defined by s(x) = 1 +x

x + lnx, x∈(0,+∞).

It is easy to see that the minimum ofs(x)is 2. Hences(x) ≥ 2, andh(x) = s−1(x)≤ 12. Obviouslyh(x) = s(x)1 >0. We can define a nonnegative function

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ϕby

(1.4) ϕ(x) = 1−x+xlnx

2 (1 +x+xlnx) x∈(0,+∞).

Hence we haveh(x) = 12 −ϕ(x). The lemma follows.

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2. Main Results

Define a function by

(2.1) ω(r, x) =x(1+x)(1−r) 1

2 −ϕ(x) r−1

x∈(0,+∞),

wherer >1andϕ(x)is defined by (1.4).

Theorem 2.1. Let 0<

Z

0

ω(p, x)fp(x)dx <+∞, 0<

Z

0

ω(q, x)gq(x)dx <+∞,

the weight functionω(r, x)is defined by (2.1), 1p+1q = 1, andp≥q >1. Then (2.2)

Z

0

Z

0

f(x)g(y)

ax1+x+by1+ydxdy

≤ µπ sinπp

Z

0

ω(p, x)fp(x)dx

1pZ

0

ω(q, x)gq(x)dx 1q

,

whereµ= (1/a)1/q(1/b)1/pand the constant factor sinµππ p

is best possible.

Proof. Letf(x) = F (x)

(ax1+x)0

1

q andg(y) = G(y)

(by1+y)0

1

p. Define

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two functions by

α = F (x)

(by1+y)0

1 p

(ax1+x+by1+y)1p

ax1+x by1+y

pq1 and (2.3)

β = G(y)

(ax1+x)0

1 q

(ax1+x+by1+y)1q

by1+y ax1+x

pq1 .

Let us apply Hölder’s inequality to estimate the right hand side of (2.2) as fol- lows:

Z

0

Z

0

f(x)g(y)

ax1+x+by1+ydxdy (2.4)

= Z

0

Z

0

αβdxdy

≤ Z

0

Z

0

αpdxdy

p1 Z

0

Z

0

βqdxdy 1q

.

It is easy to deduce that Z

0

Z

0

αpdxdy= Z

0

Z

0

(by1+y)0 ax1+x+by1+y

ax1+x by1+y

1q

Fp(x)dxdy

= Z

0

ωqFp(x)dx.

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We compute the weight functionωq as follows:

ωq= Z

0

(by1+y)0 ax1+x+by1+y

ax1+x by1+y

1q dy

= Z

0

1 ax1+x+by1+y

ax1+x by1+y

1q

d by1+y .

Lett=by1+y/ax1+x. Then we have ωq =

Z

0

1 1 +t

1 t

1q

dt= π

sinπq = π sinπp.

Notice thatF (x) =

(ax1+x)0 −1/qf(x). Hence we have

(2.5)

Z

0

Z

0

αpdxdy= π sinπp

Z

0

ax1+x01−p

fp(x)dx,

and ,similarly, (2.6)

Z

0

Z

0

βqdxdy= π sinπp

Z

0

by1+y01−q

gq(y)dy.

Substituting (2.5) and (2.6) into (2.3), we obtain (2.7)

Z

0

Z

0

f(x)g(y)

ax1+x+by1+ydxdy

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≤ π sinπp

Z

0

ax1+x01−p

fp(x)dx 1p

× Z

0

by1+y01−q

gq(y)dy 1q

. We need to show that the constant factor sinππ

p

contained in (2.7) is best possible.

Define two functions by f˜(x) =

( 0, x∈(0,1) (ax1+x)−(1+ε)/p(ax1+x)0, x∈[1,+∞) and

˜ g(y) =

( 0, y∈(0,1) (by1+y)−(1+ε)/q(by1+y)0, y ∈[1,+∞) . Assume that0< ε < 2pq (p≥q >1). Then

Z +∞

0

ax1+x01−p

p(x)dx= Z +∞

1

ax1+x−1−ε

d ax1+x

= 1 ε. Similarly, we have

Z

0

by1+y01−q

˜

gq(y)dy= 1 ε.

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If sinππ p

is not best possible, then there existsk >0,k < sinππ p

such that

(2.8) Z

0

Z

0

f˜(x) ˜g(y)

ax1+x+by1+ydxdy

< k Z

0

ax1+x01−p

p(x)dx 1p

× Z

0

by1+y01−q

˜

gq(y)dy 1q

= k ε. On the other hand, we have

Z

0

Z

0

f˜(x) ˜g(y)

ax1+x+by1+ydxdy

= Z

1

Z

1

n

(ax1+x)

1+ε

p (ax1+x)0o n

(by1+y)

1+ε

q (by1+y)0o

ax1+x+by1+y dxdy

= Z

1

(Z

1

(by1+y)1+εq

ax1+x+by1+yd by1+y )

n

ax1+x1+εp

ax1+x0o dx

= Z

1

(Z

b/ax1+x

1 1 +t

1 t

1+εq

dt )

ax1+x−1−ε

d ax1+x

= 1 ε

Z

b/ax1+x

1 1 +t

1 t

1+ε

q

dt.

If the lower limitb/ax1+xof this integral is replaced by zero, then the resulting

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error is smaller than (b/ax1+x)α

α , where α is positive and independent of ε. In fact, we have

Z b/ax1+x

0

1 1 +t

1 t

1+εq dt <

Z b/ax1+x

0

t−(1+ε)/qdt = (b/ax1+x)β β

whereβ = 1−(1 +ε)/q.If0< ε < 2pq, then we may takeαsuch that α= 1−1 +q/2p

q = 1

2p. Consequently, we get

(2.9)

Z

0

Z

0

f˜(x) ˜g(y)

ax1+x+by1+ydxdy > 1 ε

( π

sinπp +o(1) )

(ε→0).

Clearly, when ε is small enough, the inequality (2.7) is in contradiction with (2.9). Therefore, sinππ

p

is the best possible value for which the inequality (2.7) is valid.

Letu=ax1+x andv =by1+y. Then u0 =ax1+x

1 +x

x + lnx

=ax1+xh−1(x).

Similarly, we have v0 = by1+yh−1(y). Substituting them into (2.7) and then using Lemma1.1, the inequality (2.2) yields after simplifications. The constant factor sinµππ

p

is best possible, whereµ= (1/a)1/q(1/b)1/p. Thus the proof of the

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It is known from (2.1) that ω(r, x) = x(1+x)(1−r)

1

2−ϕ(x) r−1

= 1

2 r−1

x(1+x)(1−r)(1−2ϕ(x))r−1.

The following result is equivalent to Theorem2.1.

Theorem 2.2. Letϕ(x)be a function defined by (1.4), 1p+1q = 1andp≥q >1.

If

0<

Z

0

x(1+x)(1−p)(1−2ϕ(x))p−1fp(x)dx <+∞ and 0<

Z

0

y(1+y)(1−q)(1−2ϕ(y))q−1gq(y)dy <+∞,

then (2.10)

Z

0

Z

0

f(x)g(y)

ax1+x+by1+ydxdy

≤ µπ 2 sinπp

Z

0

x(1+x)(1−p)(1−2ϕ(x))p−1fp(x)dx 1p

× Z

0

y(1+y)(1−q)(1−2ϕ(y))q−1gq(y)dy 1q

, whereµ= (1/a)1/q(1/b)1/pand the constant factor 2 sinµππ

p

is best possible.

In particular, for casep= 2, some extensions on (1.2) are obtained. Accord- ing to Theorem2.1, we get the following results.

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Corollary 2.3. If 0<

Z

0

x−(1+x) 1

2−ϕ(x)

f2(x)dx <+∞ and 0<

Z

0

y−(1+y) 1

2 −ϕ(y)

g2(y)dy <+∞,

whereϕ(x)is a function defined by (1.4), then (2.11)

Z

0

Z

0

f(x)g(y)

ax1+x+by1+ydxdy

≤ π

√ab Z

0

x−(1+x) 1

2−ϕ(x)

f2(x)dx 12

× Z

0

y−(1−y) 1

2 −ϕ(y)

g2(y)dy 12

, where the constant factor π

ab is best possible.

Corollary 2.4. Letϕ(x)be a function defined by (1.4). If 0<

Z

0

x−(1+x) 1

2−ϕ(x)

f2(x)dx <+∞,

then (2.12)

Z

0

Z

0

f(x)f(y)

ax1+x+by1+ydxdy

≤ π

Z

x−(1+x) 1

2 −ϕ(x)

f2(x)dx,

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where the constant factor π

ab is best possible.

A equivalent proposition of Corollary2.3is:

Corollary 2.5. Letϕ(x)be a function defined by (1.4), 0<

Z

0

x−(1+x)(1−2ϕ(x))f2(x)dx <+∞ and 0<

Z

0

y−(1+y)(1−2ϕ(y))g2(y)dy <+∞,

then (2.13)

Z

0

Z

0

f(x)g(y)

ax1+x+by1+ydxdy

≤ π 2√

ab Z

0

x−(1+x)(1−2ϕ(x))f2(x)dx 12

× Z

0

y−(1+y)(1−2ϕ(y))g2(y)dy 12

, where the constant factor π

2

ab is best possible.

Similarly, an equivalent proposition to Corollary2.4is:

Corollary 2.6. Letϕ(x)be a function defined by (1.4). If 0<

Z

0

x−(1+x)(1−2ϕ(x))f2(x)dx+∞,

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then (2.14)

Z

0

Z

0

f(x)f(y)

ax1+x+by1+ydxdy

≤ π 2√

ab Z

0

x−(1+x)(1−2ϕ(x))f2(x)dx,

where the constant factor π

2

ab is best possible.

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3. Application

In this section, we will give various extensions of Hardy-Littlewood’s integral inequality.

Letf(x)∈L2(0,1)andf(x)6= 0. If an =

Z 1

0

xnf(x)dx, n= 0,1,2, . . .

then we have the Hardy-Littlewood’s inequality (see [1]) of the form (3.1)

X

n=0

a2n < π Z 1

0

f2(x)dx,

where π is the best constant that keeps (3.1) valid. In our previous paper [5], the inequality (3.1) was extended and the following inequality established:

(3.2)

Z

0

f2(x)dx < π Z 1

0

h2(x)dx,

wheref(x) = R1

0 txh(x)dx,x∈[0,+∞).

Afterwards the inequality (3.2) was refined into the form in the paper [6]:

(3.3)

Z

0

f2(x)dx ≤π Z 1

0

th2(t)dt.

We will further extend the inequality (3.3), some new results can be obtained by further extending inequality (3.3).

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Theorem 3.1. Leth(t)∈L2(0,1),h(t)6= 0. Define a function by

f(x) = Z 1

0

tu(x)|h(t)|dt, x∈[0,+∞),

where u(x) = x1+x. Also, let ϕ(x) be a weight function defined by (1.4), (r =p, q), 1p + 1q = 1andp≥q >1. If

0<

Z

0

x(1+x)(1−r) 1

2 −ϕ(x) r−1

fr(x)dx <+∞,

then (3.4)

Z

0

f2(x)dx 2

< µπ sinπp

Z

0

x(1+x)(1−p) 1

2 −ϕ(x) p−1

fp(x)dx

!1p

× Z

0

y(1+y)(1−q) 1

2 −ϕ(y)

fq(y)dy

1q Z 1

0

th2(t)dt,

where the constant factor sinµππ p

in (3.4) is best possible, andµ= (1/a)1/q(1/b)1/p. Proof. Let us writef2(x)in the form:

f2(x) = Z 1

f(x)tu(x)|h(t)|dt.

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We apply, in turn, Schwarz’s inequality and Theorem2.1to obtain Z

0

f2(x)dx 2

(3.5)

= Z

0

Z 1

0

f(x)tu(x)|h(t)|dt

dx 2

= Z 1

0

Z

0

f(x)tu(x)−1/2dx

t1/2|h(t)|dt 2

≤ Z 1

0

Z

0

f(x)tu(x)−1/2dx 2

dt Z 1

0

th2(t)dt

= Z 1

0

Z

0

f(x)tu(x)−1/2dx

× Z

0

f(y)tu(y)−1/2dy

dt Z 1

0

th2(t)dt

= Z 1

0

Z

0

Z

0

f(x)f(y)tu(x)+u(y)−1

dxdy

dt Z 1

0

th2(t)dt

= Z

0

Z

0

f(x)f(y) u(x) +u(y)dxdy

Z 1

0

th2(t)dt

≤ µπ sinπp

(Z

0

x(1+x)(1−p) 1

2 −ϕ(x) p−1

fp(x)dx )1p

× (Z

0

y(1+y)(1−q) 1

2 −ϕ(y) q−1

fq(y)dy )1q

Z 1

0

th2(t)dt.

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Since h(t) 6= 0, f2(x) 6= 0. It is impossible to take equality in (3.5). We therefore complete the proof of the theorem.

An equivalent proposition to Theorem3.1is:

Theorem 3.2. Let the functionsh(t), f(x)andu(x)satisfy the assumptions of Theorem3.1, and assume that

0<

Z

0

x(1+x)(1−r)(1−2ϕ(x))r−1fr(x)dx <+∞ (r =p, q).

Then (3.6)

Z

0

f2(x)dx 2

< µπ 2 sinπp

Z

0

x(1+x)(1−p)(1−2ϕ(x))p−1fp(x)dx 1p

× Z

0

y(1+y)(1−q)(1−2ϕ(y))q−1fq(y)dy

1q Z 1

0

th2(t)dt,

and the constant factorsinµππ p

in (3.6) is best possible, whereµ= (1/a)1/q(1/b)1/p. In particular, whenp=q= 2, we have the following result.

Corollary 3.3. Let the functionsh(t), f(x)andu(x)satisfy the assumptions of Theorem3.1, and assume that

0<

Z

x−(1+x) 1

2−ϕ(x)

f2(x)dx <+∞,

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whereϕ(x)is a function defined by (1.4). Then (3.7)

Z

0

f2(x)dx 2

< π

√ab Z

0

x−(1+x) 1

2 −ϕ(x)

f2(x)dx Z 1

0

th2(t)dt,

and the constant factor πab in (3.7) is best possible.

A result equivalent to Corollary3.3is:

Corollary 3.4. Let the functions h(t), f(x)andu(x)satisfy the assumptions of Theorem3.1, and assume that

0<

Z

0

x−(1+x)(1−2ϕ(x))f2(x)dx <+∞,

whereϕ(x)is a function defined by (1.4). Then (3.8)

Z

0

f2(x)dx 2

< π 2√

ab Z

0

x−(1+x)(1−2ϕ(x))f2(x)dx Z 1

0

th2(t)dt,

and the constant factor π

2

ab in (3.8) is best possible.

The inequalities (3.4), (3.6), (3.7) and (3.8) are extensions of (3.3).

(21)

An Extended Hardy-Hilbert Inequality and Its Applications

Jia Weijian and Gao Mingzhe

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J. Ineq. Pure and Appl. Math. 7(1) Art. 30, 2006

References

[1] G.H. HARDY, J.E. LITTLEWOOD AND G. POLYA, Inequalities, Cam- bridge Univ. Press, Cambridge 1952.

[2] JICHANG KUANG, On new extensions of Hilbert’s integral inequality, J.

Math. Anal. Appl., 235(2) (1999), 608–614.

[3] BICHENG YANG AND L. DEBNATH, On the extended Hardy-Hilbert’s inequality, J. Math. Anal. Appl., 272(1) (2002), 187–199.

[4] BICHENG YANG, On a general Hardy-Hilbert’s inequality with a best value, Chinese Ann. Math. (Ser. A ), 21(4) (2000), 401–408.

[5] MINGZHE GAO, On Hilbert’s inequality and its applications, J. Math.

Anal. Appl., 212(1) (1997), 316–323.

[6] MINGZHE GAO, LI TAN AND L. DEBNATH, Some improvements on Hilbert’s integral inequality, J. Math. Anal. Appl., 229(2) (1999), 682–689.

http://jipam.vu.edu.au Victoria University

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