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© Electronic Publishing House

GENERALIZATIONS OF HARDY’S INTEGRAL INEQUALITIES

YANG BICHENG and LOKENATH DEBNATH (Received 25 January 1997and in revised form 15 May 1997)

Abstract.This paper deals with some new generalizations of Hardy’s integral inequal- ities. Some cases concerning whether the constant factors involved in these inequalities are best possible are discussed in some detail.

Keywords and phrases. Hardy’s integral inequalities, weight function, best possible con- stants.

1991 Mathematics Subject Classification. 26D15.

1. Introduction. Hardy et al. ([2, Ch. 9]) proved the following integral inequalities:

if

p >1, 1 p+1

q=1, f (x)≥0, and 0<

0 fp(x)dx <∞, (1.1)

then

0

1 x

x

0 f (t)dt p

dx < qp

0 fp(t)dt, (1.2)

where the constantqpin (1.2) is best possible.

The dual form of (1.2) is as follows:

if

0<

0

xf (x)p

dx <∞, (1.3)

then

0

x f (t)dtp

dx < pp

0

tf (t)pdt, (1.4)

where the constantppin (1.4) is still best possible.

Both inequalities (1.2) and (1.4) are known as Hardy’s integral inequalities. They play an important role in mathematical analysis and its applications. Recently, Yang et al.

[1] gave some new generalizations of (1.2) which can be stated as follows:

For anyaandb,(0< a < b <∞), the following inequalities hold:

b

a

1 x

x

a f (t)dt p

dx < qp

1−

a b

1/qpb

afp(t)dt; (1.5)

a

1 x

x

af (t)dt p

dx < qp

a

1−θp(t) fp(t)dt

0< θp(t) <1

; (1.6) b

0

1 x

x

0 f (t)dtp

dx < qp b

0

1−t

b 1/q

fp(t)dt. (1.7)

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The main objective of this paper is to consider some cases whether the constant factors involved in (1.5), (1.6), and (1.7) are best possible. This is followed by some more new generalizations of (1.4), (1.5), (1.6), and (1.7).

2. Best possible constant factors. This section deals with calculations of the best possible constant factors involved in (1.5), (1.6), and (1.7).

Theorem2.1. Ifb > a >0,p >1,(1/p)+(1/q)=1,f (x)≥0, and0<b

afp(x)dx

<∞, then

b

a

1 x

x

af (t)dtp

dx < qpηp(a,b) b

afp(t)dt, (2.1)

where the constant

ηp(a,b)= max

a≤t≤b

1 qt1/q

b

t x−1−1/q 1−a

x

1/qp−1

dx

(2.2) and

1 p

1−a b

1/qp

< ηp(a,b) <

1−a b

1/qp

. (2.3)

Proof. In view of the proof given in [1, Thm. 2.1], we have b

a

1 x

x

a f (t)dt p

dx≤qp−1 b

a

b

t x−1−1/q

1−

a x

1/qp−1

dx

t1/qfp(t)dt

=qp b

agp(t)fp(t)dt,

(2.4)

where the weight functiongp(t)is defined by gp(t):=1

qt1/q b

t x−1−1/q 1−a

x

1/qp−1

dx, t∈[a,b]. (2.5) Settingηp(a,b):=maxa≤t≤bgp(t), sincegp(t)is a nonconstant continuous function, then by (2.4), we have (2.1). Sincegp(b)=0, and for anyt∈[a,b),

gp(t) <1 qt1/q

b

t x−1−1/q 1−a

b

1/qp−1

dx

= −t1/q 1−a

b

1/qp−1

[b−1/q−t−1/q]

= 1−a

b

1/qp−1 1−t

b 1/q

1−a

b 1/qp

,

(2.6)

thenηp(a,b) < [1−(a/b)1/q]p. Since gp(t)=

t a

1/qb

t

1−

a x

1/qp−1

d

1 a

x 1/q

=1 p

t a

1/q 1

a b

1/qp

1−

a t

1/qp ,

(2.7)

andgp(a) >0, then we haveηp(a,b) > gp(a)=1/p[1−(a/b)1/q]p. This completes the proof.

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Remark. This theorem implies that the constant factorqp[1−(a/b)1/q]pin (1.5) is not best possible, and the best value ofkp(a,b)for which (1.5) exists is bounded.

More precisely,

0< kp(a,b)≤qpηp(a,b) < qp

1−

a b

1/qp

. (2.8)

Theorem2.2. For anya,b >0, the same constant factorqpin (1.6) and (1.7) is best possible.

Proof. If the constantqpin (1.6) is not best possible, then there existsK(0< K <

qp), such that

a

1 x

x

a f (t)dt p

dx < K

a

1−θp(t) fp(t)dt < K

a fp(t)dt. (2.9) Since{q/[1−(q−1)]}p(1−pq/(1+))→qp(→0+), then there exists a small number(0< < p−1), such that{q/[1−(q−1)]}p[1−(pq/(1+))] > K. Setting f(t)=t−(1+)/p,t∈[a,∞), we obtain

a fp(t)dt=1

a, (2.10)

and by Bernoulli’s inequality (see [4, Ch. 2.4]),

a

1 x

x

af(t)dt p

dx=

1−1+ p

−p

a x−(1+)

1−

a x

1−(1+)/pp dx

>

1−1+ p

−p

a x−(1+)

1−p a

x

1−(1+)/p dx

=

q 1−(q−1)

p 1−pq

1+

1 a> K

a fp(t)dt.

(2.11)

This is a contradiction, and hence the constant factorqpin (1.6) is best possible.

If the constant factorqpin (1.7) is not best possible, then there existsK(0< K < qp), such that

b

0

1 x

x

0 f(t)dt p

dx < K b

0fp(t)dt. (2.12)

There exists a number(>0), such that[q/(1+q−)]p> K. Settingf(t)=t−(1−)/p, t∈(0,b], then we obtainb

0fp(t)dt=(1/)b, and b

0

1 x

x

0f(t)dtp

dx= q

1+q− p1

b> K b

0fp(t)dt. (2.13) This is a contradiction, and the constant factorqpin (1.7) is best possible. The theorem is proved.

3. Some new general inequalities. We first prove two lemmas.

Lemma3.1. Letb >0,p >1,(1/p)+(1/q)=1,f (x)≥0, and0<b

0(xf (x))pdx <

∞. Then there exists a numberx0∈(0,b), such that for anyx∈(0,x0), the following

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inequality is true:

b

xf (t)dt p

< p(p−1)

x−1/p−b−1/pp−1b

xtp−1/pfp(t)dt. (3.1) Proof. For anyx∈(0,b), by Holder’s inequality, we have

p

xf (t)dtp

=b

xt(p+1)/pqf (t)t−(p+1)/pqdtp

b

xt(p+1)/qfp(t)dt b

xt−(p+1)/pdt p/q

=pp−1

x−1/p−b−1/pp−1b

xtp−1/pfp(t)dt.

(3.2)

We have to show that there existsx0∈(0,b)such that for anyxin 0< x < x0, the equality in (3.2) does not hold. Otherwise, there existsx=xn∈(0,b),n=1,2,3,...

and the sequence xn

decreases to zero such that (3.2) becomes an equality. More- over, there existcnanddnwhich are not always zero such that (see [3, p. 29])

cn

t(p+1)/pqf (t) p=dn

t−(p+1)/pqq, a.e. in

xn,b . (3.3)

Butf (t)≠0, a.e. in[0,b], then there exists an integerN, such that for anyn > N, f (t)≠0, a.e. in[xn,b]. Hence bothcn=c≠0, anddn=d≠0, for anyn > N, and

then b

0

tf (t)p

dt=n→∞lim b

xn

tf (t)p dt=d

cn→∞lim b

xnt−1dt= ∞. (3.4) This contradicts the fact thatb

0(xf (x))pdx <∞. Thus, (3.1) is valid. The lemma is proved.

Lemma3.2. Leta >0,p >1,(1/p)+(1/q)=1,f (x)≥0, and0<

a

xf (x)pdx <

∞. Then there existsx0∈(a,∞), such that for anyx∈(a,x0),

x f (t)dtp

< pp−1x−1/q

x tp−1/pfp(t)dt. (3.5) Proof. We have, by Holder’s inequality as in Lemma 3.1, and for anyx∈(a,∞),

x f (t)dt p

≤pp−1x−1/q

x tp−1/pfp(t)dt. (3.6) We show that there existsx0∈(a,∞), such that (3.6) does not assume equality for any x∈(a,x0). Otherwise, there existsx=xn∈(a,∞)(n=1,2,...), xn↓a, such that (3.6) becomes an equality. By the same argument as in Lemma 3.1, there exists c >0 andN, such that for anyn > N,[t(p+1)/pqf (t)]p=c(t−(p+1)/pq))q, a.e. in[xn,∞), and hence

a(tf (t))pdt=climn→∞

xn(1/t)dt= ∞. This is a contradiction. Inequality (3.5) is true. The lemma is proved.

Theorem3.1. Letb>a>0,p>1,(1/p)+(1/q)=1,f (x)≥0, and0<b

a(xf (x))pdx<

∞.

Then b

a

b

xf (t)dtp

dx < ppµp(a,b) b

a

tf (t)pdt, (3.7)

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where

µp(a,b)= max

a≤t≤b

1 pt−1/p

t

a

x−1/p−b−1/pp−1dx

(3.8) and

1 p

1−

a b

1/pp

≤µp(a,b) <

1−

a b

1/pp

. (3.9)

Proof. Using inequality (3.2), we obtain b

a

b

xf (t)dtp

dx≤pp−1 b

a

x−1/p−b−1/pp−1b

xtp−1/pfp(t)dt dx

=pp−1 b

a

t−1/p

t

a

x−1/p−b−1/pp−1

dx

tf (t)p dt

=pp b

ahp(t) tf (t)p

dt,

(3.10)

where the weight functionhp(t)is defined by hp(t):= 1

pt−1/p t

a

x−1/p−b−1/pp−1dx, t∈[a,b]. (3.11)

Settingµp(a,b):=maxa≤t≤bhp(t), by (3.10), we have (3.7). Sincehp(a)=0, and for anyt∈(a,b],

hp(t)= 1 pt−1/p

t

ax−1+1/p 1−x

b

1/pp−1

dx

< 1 pt−1/p

t

ax−1+1/p

1 a

b

1/pp−1 dx

=

1−

a b

1/pp−1 1−

a t

1/p

1−

a b

1/pp ,

(3.12)

then we haveµp(a,b) < [1−(a/b)1/p]p. Since hp(t)= −

t b

1/pt

a

1

x b

1/pp−1 d

1−

x b

1/p

= 1 p

t b

1/p 1

a b

1/pp

1 t

b

1/pp ,

(3.13)

then we have

µp(a,b)= max

a≤t≤bhp(t)≥hp(b)= 1 p

1−a b

1/pp

. (3.14)

This completes the proof.

Remark. It follows from this theorem that the best valueλp(a,b)for which in- equality (3.7) exists is bounded, that is,

0< λp(a,b)≤ppµp(a,b) < pp

1−

a b

1/pp

. (3.15)

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Theorem3.2. Leta>0,p >1,(1/p)+(1/q)=1,f (x)≥0, and0<

a(xf (x))pdx <

∞. Then

a

x f (t)dt p

dx < pp

a

1

a t

1/p tf (t)p

dt, (3.16)

where the constant factorppin inequality (3.16) is best possible.

Proof. By inequality (3.5), we have

a

x f (t)dt p

dx < pp−1

a x−1/q

x tp−1/pfp(t)dt dx

=pp−1

a

t

ax1/qdx

tp−1/pfp(t)dt

=pp

a

1−a

t 1/p

tf (t)pdt.

(3.17)

Inequality (3.16) is true. Ifppin (3.16) is not possible, then there existsK(0< K < pp), such that

a

x f (t)dt p

dx < K

a

1−

a t

1/p tf (t)p

dt < K

a

tf (t)p

dt. (3.18) There exists a small number >0, such that pp[1/(1+)p] > K. Setting f(t)= t−1−(1+)/p,t∈[a,∞), then we have

a (tf(t))pdt=(1/)a, and

a

x f(t)dtp

dx=pp 1 (1+)p·1

a> K

a

tf(t)pdt. (3.19) This is a contradiction, and the constant factorpp in (3.16) is best possible. This proves the theorem.

Theorem3.3. Letb >0,p >1,(1/p)+(1/q)=1,f (x)≥0, and0<b

0(xf (x))pdx <

∞. Then

b

0

b

xf (t)dt p

dx < pp b

0µp(t) tf (t)p

dt, (3.20)

where the weight functionµp(t)=(1/p){1−[1−(t/b)1/p]p}(b/t)1/p,t∈(0,b], and 0< µp(t) <1; the constantppin inequality (3.20) is best possible. Whenp=2, inequal- ity reduces to the form

b

0

b

xf (t)dt2

dx <4 b

0

1−1

2 t

b

tf (t)2dt. (3.21) Proof. In view of (3.1), we find

b

0

b

xf (t)dt p

dx < pp−1 b

0

x−1/p−b−1/pp−1b

xtp−1/pfp(t)dt dx

=pp−1 b

0

t 0

x−1/p−b−1/pp−1dx

tp−1/pfp(t)dt

=pp−1 b

0

t

0x−1+1/p

1 x

b

1/pp−1 dx

1 t

1/p tf (t)p

dt

=pp b

0µp(t) tf (t)p

dt,

(3.22)

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where

µp(t):= 1 p

1

1 t

b

1/ppb t

1/p

, t∈(0,b]. (3.23)

By Bernoulli’s inequality, we have

0< µp(t) <1 p

1−

1−pt b

1/pb t

1/p

=1. (3.24)

Inequality (3.20) is true. Sinceµ2(t)=1−(1/2)

t/b, inequality (3.21) is also true.

If the constant factorppin (3.20) is not best possible, then there existsK(0< K <

pp), such that

b

0

b

xf (t)dtp

dx < K b

0µp(t)

tf (t)pdt < K b

0

tf (t)pdt. (3.25)

There exists a small number,(0< <1), such thatpp(1/(1−)p){1−p/[+(1−

)/p]}> K. Settingf(t)=t−1−(1−)/p,t∈(0,b], we obtainb

0(tf (t))pdt=(1/)b, and by Bernoulli’s inequality,

b

0

b

xf(t)dtp

dx=pp 1 (1−)p

b

0x−1+

1−x b

(1−)/pp

dx

> pp 1 (1−)p

b

0x−1+

1−p

x b

(1−)/p dx

=pp 1 (1−)p

1− p +(1−)p

1 b

> K b

0

tf(t)pdt.

(3.26)

This is a contradiction, and the constant factorpp in (3.20) is best possible. This completes the proof.

Remark. (1) In the limitsa→0,b→ ∞, inequalities (3.7), (3.10), (3.16), and (3.20) reduce to (1.4).

(2) Inequalities (3.7), (3.10), (3.16), and (3.20) are new generalizations of (1.4).

(3) Inequalities (1.4), (3.7), (3.10), (3.16), and (3.20) represent a class, whereas (1.2), (1.6), (1.7), and (2.1) form another class. The constant factors involved in these two classes of inequalities are shown to be best possible except (2.1) and (3.7).

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References

[1] Y. Bicheng, Z. Zhonhua, and L. Debnath,On New Generalizations of Hardy’s Integral In- equality, J. Math. Anal. Appl.217(1998), no. 1, 321–327. Zbl 893.26008.

[2] G. H. Hardy, J. E. Littlewood, and G. Polya,Inequalities, 2nd ed., Cambridge, at the University Press, 1952. MR 13,727e. Zbl 047.05302.

[3] J. C. Kuang,Applied Inequalities, 2nd ed., Hunan Jiaoyu Chubanshe, Changsha, 1993 (Chi- nese). MR 95j:26001.

[4] D. S. Mitrinovic,Analytic Inequalities, vol. 165, Springer-Verlag, New York, Berlin, 1970.

MR 43#448. Zbl 199.38101.

Bicheng: Department of Mathematics, Guangdong Education College, Guangzhou, Guangdong,510303China

Debnath: Department of Mathematics, Universityof Central Florida, Orlando, Florida32816, USA

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As the intermodal transport system is more complex than a single-mode system, this fact offers interesting and challeng- ing opportunities to modelers in applied mathematics. This special issue aims to fill in some gaps in the research agenda of decision-making in intermodal transport.

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