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arXiv:2110.02154v1 [math.FA] 5 Oct 2021

WEIGHTED INEQUALITIES FOR DISCRETE ITERATED KERNEL OPERATORS

AMIRAN GOGATISHVILI, LUBOˇS PICK AND TU ˘GC¸ E ¨UNVER

Abstract. We develop a new method that enables us to solve the open problem of char- acterizing discrete inequalities for kernel operators involving suprema. More precisely, we establish necessary and sufficient conditions under which there exists a positive constant C such that

X

n∈Z n

X

i=−∞

U(i, n)ai

!q

wn

!1q

≤ C X

n∈Z

apnvn

!1p

holds for every sequence of nonnegative numbers {an}n∈Z where U is a kernel satisfying certain regularity condition, 0 < p, q ≤ ∞ and {vn}n∈Z and {wn}n∈Z are fixed weight sequences. We do the same for the inequality

X

n∈Z

wn

h sup

−∞<i≤n

U(i, n)

i

X

j=−∞

aj

iq!1q

≤ C X

n∈Z

apnvn

!p1 .

We characterize these inequalities by conditions of both discrete and continuous nature.

1. Introduction

In this paper we focus on boundedness properties of supremum operators involving kernels.

We study both their discrete and continuous versions and the relations between them. The bridge between the continuous and the discrete world turns out to be very useful for solving difficult questions in either of them, as we shall demonstrate.

While classical Hardy-type operators involving sums and integrals have been extensively studied for over a century now, supremum operators constitute a relatively new object as their importance has been spotted not so long ago and they have been put under rather a serious scrutiny over approximately last two decades.

The first significant appearance of a supremum operator materialized in [7] where it was shown that the Calder´on operator of the fractional maximal operator takes the form of a supremum operator. More precisely, it was shown that if n ∈ N, 0 < γ < n and Mγ is the fractional maximal operator defined by

Mγf(x) = sup

Q∋x

1

|Q|1−γn Z

Q

|f (y)| dy for every f ∈ L1loc(Rn) and x ∈ Rn,

(where the supremum is extended over all cubes Q ⊂ Rn with sides parallel to the coordinate axes and |E| denotes the n-dimensional Lebesgue measure of E ⊂ Rn), then there exists a

2000 Mathematics Subject Classification. 46E30, 26D20, 47B38, 46B70.

Key words and phrases. Weighted inequality, kernel operator, supremum operator.

This research was supported by the grant P201-18-00580S of the Czech Science Foundation. The research of A. Gogatishvili was partially supported by Shota Rustaveli National Science Foundation (SRNSF), grant no: FR17-589.

1

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constant C depending only on n and γ such that (Mγf)(t) ≤ C sup

t<s<∞

sγn−1 Z t

0

f(τ ) dτ for every f ∈ L1loc(Rn) and t ∈ (0, ∞), where f 7→ f denotes the operation of taking the nonincreasing rearrangement of a function.

Moreover, this pointwise estimate is sharp in the sense that there is a constant c, again depending only on n and γ, such that for every decreasing function ϕ on (0, ∞) one can find a function f on Rn such that f = ϕ almost everywhere on (0, ∞) and

(Mγf)(t) ≥ c sup

t<s<∞

sγn−1 Z t

0

ϕ(τ ) dτ for every t ∈ (0, ∞).

The estimate holds also when γ = 0, yielding thereby a significant extension of the classical Wiener–Riesz–Herz inequality.

An earlier occurrence of operation of taking a supremum can be found for example in [12], see also [31], where a different type of an operator taking suprema is studied in certain duality relationships.

What started as a rudimentary observation has been later extended to a worthwhile theory.

The next significant step was taken in [15], where general weighted inequalities for supremum operators were characterized for the first time. In the meantime, supremum operators have been showing up unexpectedly in many different projects. In particular, they play a key role in the characterization of optimal Sobolev embeddings (see e.g. [20, 22, 9, 35, 21, 8] and many more). Some of the results in [15] were not entirely satisfactory as the characterizing conditions for some of the inequalities were expressed in terms of discretizing sequences which made their verification virtually impossible in practice. This obstacle was to a large extent overcome with the development of anti-discretization techniques, which took place in [16].

In that paper alone several open problems were solved (for example, previously unknown integral characterizations of embeddings between certain types of classical Lorentz spaces were nailed down). Further important techniques were discovered for instance in [32, 33] and [5].

Significant applications were found for example in the regularity theory for partial differential equations (see e.g. [1, 2]), for improvement of sharp Sobolev inequalities ([6]), in the theory of Besov spaces ([4, 18]), in a general theory of function spaces ([10]), in interpolation theory ([11]) or to the characterization of duality for operator-induced function spaces ([27, 26]).

The development of the theory itself, including a rather serious investigation of inequalities involving various modifications of supremum operators and their combinations with other types of operators also followed (see e.g. [24, 23, 14, 25, 13] and many more).

Our point of departure will be a discrete version of a kernel operator. We say that U : Z × Z→ [0, ∞) is a regular kernel if U is nonincreasing in the first variable, nondecreasing in the second variable and there exists a positive constant C such that

U(i, n) ≤ C(U (i, j) + U (j, n)) for every i, j, n ∈ Z, i ≤ j ≤ n. (1.1) We shall call C from (1.1) the constant of regularity of U . Clearly, if U is a regular kernel and 0 < p < ∞, then Up is also a regular kernel.

Our definition of a regular kernel was introduced by Bloom and Kerman in [3]. Other modifications of regular kernels also appear in the literature. For example, several authors define a so-called Oinarov-type condition for a kernel by replacing the monotonicity with a reverse inequality in (1.1), which means that the kernel is quasimonotone. It is easy to see that these two definitions are equivalent in the sense that if a kernel satisfies the Oinarov

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condition, then there exists an equivalent kernel which is regular in the sense of Bloom and Kerman, and the constant of equivalence is absolute.

One of the central questions studied in this paper is the following. Given 0 < p, q ≤ ∞, a regular kernel U and two fixed sequences of nonnegative real numbers {vn}n∈Z and {wn}n∈Z (weights), we ask under which conditions there exists a positive constant C such that

X

n∈Z n

X

i=−∞

U(i, n)ai

!q

wn

!1

q

≤ C X

n∈Z

apnvn

!1

p

(1.2) holds for every sequence of nonnegative numbers {an}n∈Z (as usual, (1.2) has to be replaced by an appropriate analog if either p = ∞ and/or q = ∞). One can also study the dual inequality, namely

X

n∈Z

X

i=n

U(n, i)ai

!q

wn

!1

q

≤ C X

n∈Z

apnvn

!1

p

. (1.3)

We note that (1.3) holds for every sequence of nonnegative numbers {an}n∈Z if and only if X

n∈Z n

X

i=−∞

U(i, n)ai

!q

wn

!1q

≤ C X

n∈Z

apnvn

!1p

holds for every sequence of nonnegative numbers {an}n∈Z, which is (1.2) with appropriately modified kernel and weights. This follows on a simple index change U (i, n) = U (−n, −i), vn= v−n and wn= w−n. It is not difficult to verify that the kernel U is also regular. So it is enough to investigate just (1.2). It turns out that the cases when 0 < p ≤ 1 and 1 ≤ p < ∞ are substantially different and have to be treated separately.

The paper is organized as follows. In the next section we shall collect results concerning Hardy-type operators containing kernels. In Section 3 we present results concerning supre- mum operators with kernels. Proofs are contained in the last two sections.

Throughout the paper, we shall denote by Z the set of all integers, by RZ+ the collection of all double infinite sequences of nonnegative real numbers indexed over Z and by M+ the set of all nonnegative measurable functions on R. Throughout the paper we denote p = p−1p if p∈ (0, 1) ∪ (1, ∞). An analogous notation is used for q. We shall write A . B if there exists a positive constant C such that A ≤ CB. We write A ≈ B if we have simultaneously A . B and B . A.

We shall throughout the paper use the notion of weight both in a discrete setting, in which case it is just any sequence of nonnegative real numbers, and in the continuous one, in which case it is a nonnegative measurable function on an appropriate subset of R.

2. Hardy type operators with kernels

There are several possibilities how to approach the study of (1.2). It can be for instance solved directly by using discretization and anti-discretization argument as it was done for the analogous continuous inequality by Bloom–Kerman [3], Oinarov [29], Stepanov [36] and Kˇrepela [25]. We shall view the problem from a different perspective and point out that under the restriction 1 ≤ p ≤ ∞ a characterization is available by simply bridging the discrete and the continuous worlds. The result is contained in the following theorem.

(4)

Theorem 2.1. Let 1 ≤ p ≤ ∞ and 0 < q ≤ ∞. Let U be a regular kernel on Z × Z and {vn}, {wn} ∈ RZ+. We extend U to a function defined on R2 by setting

U(s, t) = X

(i,n)∈Z2

U(i, n)χ(i−1,i]×(n−1,n](s, t) for s, t ∈ R

and we define

v(t) =X

n∈Z

vnχ(n−1,n](t), w(t) =X

n∈Z

wnχ(n−1,n](t) for t ∈ R.

Then (1.2) holds for some constant C and every sequence {an} ∈ RZ+ if and only if there exists a constant C such that

Z

−∞

Z t

−∞

U(s, t)f (s) ds

!q

w(t) dt

!1

q

≤ C Z

−∞

f(t)pv(t) dt

!1

p

(2.1) holds for every f ∈ M+ (with natural analogues when either p = ∞ and/or q = ∞). More- over, if C, C are optimal constants, then C≤ C ≤ 21+1qC.

Using Theorem 2.1 and well-known necessary and sufficient conditions for (2.1), we can now obtain a characterization of (1.2).

Theorem 2.2. Let 1 ≤ p ≤ ∞, 0 < q ≤ ∞. Let U be a regular kernel and {wn}, {vn} ∈ RZ+. Then the inequality (1.2) holds if and only if one of the following conditions holds:

(i) p = 1, 0 < q < ∞ and

A1 := sup

n∈Z

vn−1

X

i=n

U(n, i)qwi

!1

q

<∞;

(ii) p = 1, q = ∞ and

A2:= sup

n∈Z

vn−1

 sup

n≤i<∞

U(n, i)wi



<∞;

(iii) p = ∞, 1 ≤ q < ∞ and

A3 := X

n∈Z n

X

i=−∞

U(i, n)v−1i

!q

wn

!1q

<∞;

(iv) 1 < p < ∞, q = 1 and

A4 :=

 X

n∈Z

X

i=n

U(n, i)wi

!p

vn1−p

1 p′

<∞;

(v) 1 < p < ∞, q = ∞ and

A5 := sup

n∈Z

wn

n

X

i=−∞

U(i, n)pv1−pi

!1

p′

<∞;

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(vi) p = q = ∞ and

A6 := sup

n∈Z

wn

 sup

−∞<i≤n

U(i, n)v−1i



<∞;

(vii) 1 < p ≤ q < ∞,

A7 := sup

n∈Z

X

i=n

wi

!1

q n

X

i=−∞

U(i, n)pvi1−p

!1

p′

<∞ and

A8 := sup

n∈Z

X

i=n

U(n, i)qwi

!1

q n

X

i=−∞

v1−pi

!1

p′

<∞;

(viii) 1 < q < p < ∞,

A9 :=

 X

n∈Z

X

i=n

wi

!p−qq wn

n

X

i=−∞

U(i, n)pv1−pi

!(p−1)qp−q

p−q pq

<∞ and

A10:=

 X

n∈Z

X

i=n

U(n, i)qwi

! p

p−q

v1−pn

n

X

i=−∞

vi1−p

!p(q−1)

p−q

p−q pq

<∞;

(ix) 1 < p < ∞, 0 < q < p, A9<∞ and

A11:=

 X

n∈Z

X

i=n

U(n, i)qwi

!p−qq

wn sup

−∞<j≤n

U(j, n)q

j

X

i=−∞

vi1−p

!

(p−1)q p−q

p−q pq

<∞;

(x) 0 < q < p = 1,

A12:=

 X

n∈Z

X

i=n

wi

!−q

wn sup

−∞<i≤n

U(i, n)−qviq

q′1

<∞ and

A13:=

 X

n∈Z

X

i=n

U(n, i)qwi

!−q

wn sup

−∞<i≤n

U(i, n)qvqi

q′1

<∞.

Moreover, if C is the optimal constant in (1.2), then, in cases (i)–(vi), C ≈ Ak, where k is the appropriate index corresponding to the label of the particular case, and in cases (vii)–

(x), we have C ≈ Ak+ A, where k and ℓ are appropriate indices (C ≈ A7+ A8 in (vii ) and so on).

In the case when 0 < p < 1 the above approach does not work. It is a notoriously known fact that in this case the discrete inequality may perfectly hold while its continuous analogue is impossible unless the weights are trivial. We shall eventually show that a certain type of bridge is nevertheless still available. We begin by observing that (1.2) is equivalent to two other inequalities, different in nature.

(6)

Theorem 2.3. Let 0 < p ≤ 1 and 0 < q ≤ ∞. Let U be a regular kernel on Z × Z and {vn}, {wn} ∈ RZ+. Then the following three statements are equivalent.

(i) There exists a constant C such that (1.2) holds for every sequence {an} ∈ RZ+. (ii)There exists a constant C such that

X

n∈Z

sup

−∞<i≤n

U(i, n)ai

!q

wn

!1q

≤ C X

n∈Z

apnvn

!1p

(2.2) holds for every sequence {an} ∈ RZ+.

(iii) There exists a constant C′′ such that X

n∈Z n

X

i=−∞

U(i, n)pai

!pq wn

!pq

≤ C′′X

n∈Z

anvn. (2.3)

holds for every sequence {an} ∈ RZ+.

Moreover, if C, C and C′′are the best constants in (1.2), (2.2) and (2.3), respectively, then C ≈ C ≈ (C′′)1p.

It is worth noticing that the assertion of Theorem 2.3 cannot be extended to the case when 1 < p ≤ ∞.

We can also formulate the dual statement to Theorem 2.3.

Theorem 2.4. Let 0 < p ≤ 1 and 0 < q ≤ ∞. Let U be a regular kernel on Z × Z and {vn}, {wn} ∈ RZ+. Then the following three statements are equivalent.

(i) There exists a constant C such that (1.3) holds for every sequence {an} ∈ RZ+. (ii)There exists a constant C such that

X

n∈Z

sup

n≤i<∞

U(n, i)ai

!q

wn

!1q

≤ C X

n∈Z

apnvn

!1p

(2.4) holds for every sequence {an} ∈ RZ+.

(iii) There exists a constant C′′ such that X

n∈Z

X

i=n

U(n, i)pai

!qp wn

!pq

≤ C′′X

n∈Z

anvn. (2.5)

holds for every sequence {an} ∈ RZ+.

Moreover, if C, C and C′′ are the best constants in (1.3), (2.4) and (2.5), respectively, then C ≈ C≈ (C′′)p1.

We are now in a position to characterize (1.2) by a continuous-type condition. To do this we shall use the fact that p = 1 is a meeting point of both the cases and hence either approach works in this case.

Theorem 2.5. Let 0 < p ≤ 1 and 0 < q < ∞. Let U , {vn}, {wn}, v and w be as in Theorem 2.1. Then (1.2) holds for some C and every sequence {an} ∈ RZ+ if and only if there is a C such that

Z

−∞

Z t

−∞

U(s, t)pf(s) ds

!qp

w(t) dt

!pq

≤ C Z

−∞

f(t)v(t) dt (2.6)

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holds for every f ∈ M+.

Moreover, if C and C are the best constants in (1.2) and (2.6), respectively, then C ≈ (C)1p.

Similarly, (1.3) holds for some C and every sequence {an} ∈ RZ+ if and only if there is a C′′ such that

Z

−∞

Z

t

U(t, s)pf(s) ds

!q

p

w(t) dt

!p

q

≤ C′′

Z

−∞

f(t)v(t) dt (2.7) holds for every f ∈ M+.

Moreover, if C and C′′ are the best constants in (1.3) and (2.7), respectively, then C ≈ (C′′)1p.

Now we can characterize the discrete inequality (1.2) for 0 < p ≤ 1 by conditions appearing in Theorem 2.2.

Theorem 2.6. Let 0 < p ≤ 1 and 0 < q ≤ ∞. Let U be a regular kernel and {wn}, {vn} ∈ RZ+. The inequality (1.2) holds if and only if one of the following conditions holds:

(i) 0 < p ≤ q < ∞ and A1<∞;

(ii) q = ∞ and A2 <∞;

(iii) 0 < q < p, A12<∞ and A13<∞.

Moreover, if C is the best constant in (1.2), then C is equivalent to A1 in the case (i), to A2 in the case (ii) and to A12+ A13 in the case (iii).

3. Supremum operators with kernels

We shall now turn our attention to inequalities which involve operators in which both a kernel and the supremum are combined. Namely, we are interested under what conditions under parameters 0 < p, q ≤ ∞, a regular kernel U and two fixed sequences {wn}, {vn} ∈ RZ+ there exists a positive constant C such that the inequality

X

n∈Z

wnh sup

−∞<i≤n

U(i, n)

i

X

j=−∞

ajiq!1

q

≤ C X

n∈Z

apnvn

!1

p

(3.1)

holds for every sequence {an} ∈ RZ+.

Theorem 3.1. Let 0 < p ≤ 1, 0 < q < ∞ and {vn}, {wn} ∈ RZ+. Let U be a regular kernel.

Define

B1 = sup

{an}∈RZ+

X

n∈Z

wn

h sup

−∞<i≤n

U(i, n)ai

iq!1q X

n∈Z

apnvn

!p1

,

B2 = sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

U(i, n) sup

−∞<j≤i

ajiq!1

q

X

n∈Z

apnvn

!1p

,

B3 = sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

U(i, n)

i

X

j=−∞

ajiq!1q X

n∈Z

apnvn

!1p

,

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B4 = sup

{an}∈RZ+

X

n∈Z

wn h Xn

i=−∞

U(i, n)aiiq!1q X

n∈Z

apnvn

!1p

,

B5 = sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

U(i, n)p

i

X

j=−∞

apjiq

p

!1

q

X

n∈Z

apnvn

!1p

,

B6 = sup

{an}∈RZ+

X

n∈Z

wnh Xn

i=−∞

U(i, n)papiiqp

!1q X

n∈Z

apnvn

!1p

.

Then B1, B2, B3, B4, B5 and B6 are mutually equivalent, and, moreover, the equivalence constants depend only on p and q.

We will also present a dual version of these results.

Theorem 3.2. Let 0 < p ≤ 1, 0 < q < ∞ and {vn}, {wn} ∈ RZ+. Let U be a regular kernel.

Define

1 = sup

{an}∈RZ+

X

n∈Z

wnh sup

n≤i<∞

U(n, i)aiiq!1q X

n∈Z

apnvn

!p1

,

2 = sup

{an}∈RZ+

X

n∈Z

wn h

sup

n≤i<∞

U(n, i) sup

i≤j<∞

aj iq!1q

X

n∈Z

apnvn

!1p

,

3 = sup

{an}∈RZ+

X

n∈Z

wnh sup

n≤i<∞

U(n, i)

X

j=i

ajiq!1

q

X

n∈Z

apnvn

!p1

,

4 = sup

{an}∈RZ+

X

n∈Z

wnhX

i=n

U(n, i)aiiq!1q X

n∈Z

apnvn

!1p

,

5 = sup

{an}∈RZ+

X

n∈Z

wnh sup

n≤i<∞

U(n, i)p

X

j=i

apjipq

!1q X

n∈Z

apnvn

!1p

,

6 = sup

{an}∈RZ+

X

n∈Z

wnhX

i=n

U(n, i)papiiqp

!1q X

n∈Z

apnvn

!1p

.

Then ˜B1, ˜B2, ˜B3, ˜B4, ˜B5 and ˜B6 are mutually equivalent, and, moreover, the equivalence constants depend only on p and q.

Given a sequence of nonnegative real numbers {un}n∈Z, consider the kernel U , given by U(i, n) = ui for every i, n ∈ Z. This kernel is of course not regular in general, since we do not assume any monotonicity of {un}n∈Z, but we can obtain a result in the spirit of Theorem 3.1 for it nevertheless.

Theorem 3.3. Let 0 < p ≤ 1, 0 < q < ∞ and {un}, {vn}, {wn} ∈ RZ+. Define B1= sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

ui sup

−∞<j≤i

ajiq!1q X

n∈Z

apnvn

!p1

,

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B2= sup

{an}∈RZ+

X

n∈Z

wn h

sup

−∞<i≤n

( sup

i≤j≤n

uj)aiiq!1q X

n∈Z

apnvn

!1p

,

B3= sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

ui

i

X

j=−∞

ajiq!1

q

X

n∈Z

apnvn

!p1

,

B4= sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

( sup

i≤j≤n

uj)

i

X

j=−∞

ajiq!1q X

n∈Z

apnvn

!p1

,

B5= sup

{an}∈RZ+

X

n∈Z

wn

h Xn

i=−∞

( sup

i≤j≤n

uj)ai

iq!1q X

n∈Z

apnvn

!1p

,

B6= sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

upi

i

X

j=−∞

apjipq

!1

q

X

n∈Z

apnvn

!p1

,

B7= sup

{an}∈RZ+

X

n∈Z

wnh sup

−∞<i≤n

( sup

i≤j≤n

upj)

i

X

j=−∞

apjiqp

!1q X

n∈Z

apnvn

!1p

,

B8= sup

{an}∈RZ+

X

n∈Z

wnh Xn

i=−∞

( sup

i≤j≤n

upj)apiiqp

!1

q

X

n∈Z

apnvn

!p1

.

Then B1, B2, B3, B4, B5, B6, B7 and B8 are mutually equivalent, and, moreover, the equiva- lence constants depend only on p and q.

Theorem 3.4. Let 0 < p ≤ 1 and 0 < q ≤ ∞. Let U be a regular kernel and {wn}, {vn} ∈ RZ+. Then the inequality (3.1) holds for every sequence {an} ∈ RZ+ if and only if one of the conditions (i)—(iii) of Theorem 2.6 is satisfied.

In the case 1 ≤ p ≤ ∞ the situation is much more delicate than in the case 0 < p ≤ 1.

We can still get a bridge type equivalence theorem in the spirit of Theorem 2.1, but this time there is no characterization available of the integral inequality. The proof is the same as that of Theorem 2.1, and hence we omit it.

Theorem 3.5. Let 1 ≤ p ≤ ∞ and 0 < q ≤ ∞. Let U , {vn}, {wn}, v and w be as in Theorem 2.1. Then (3.1) holds for every sequence {an} ∈ RZ+ if and only if there is a constant C1 such that

Z

−∞

ess sup

−∞<y≤x

U(y, x) Z y

−∞

f(t) dt

!q

w(x)dx

!1q

≤ C1

Z

−∞

f(t)pv(t) dt

1

p

(3.2) holds for every f ∈ M+ (with natural analogues when either p = ∞ or q = ∞).

Moreover, if C and C1 are the best constants in (3.1) and (3.2), respectively, then C ≈ C1. Now we shall point out a simple but extremely useful fact that weighted inequalities for the Hardy operator have certain scaling property. Let us note that similar phenomenon has been observed before in connection with the geometric mean operator (see [30]). We shall first need some notation.

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Let v and w be weight functions on R. We denote

σp(a, b) =





 Rb

av1−p(y)dy

1

p′

for 1 < p < ∞, ess sup

a<y<b

v(y)−1 for p = 1.

The following theorem was proved in [34, Theorem 3.2] when p = 1.

Theorem 3.6. Let 1 ≤ p < ∞, 0 < q < ∞ and let w be a weight on R. Then the following two statements are equivalent.

(i) There exists a constant C, depending on p, q, v and w such that

Z

−∞

w(x)

Z x

−∞

f(t) dt

q

dx

1q

≤ C

Z

−∞

f(t)pv(t) dt

1

p

(3.3) holds for every f ∈ M+.

(ii) There exists a constant C depending on p, q, v and w such that Z

−∞

w(x)

Z x

−∞

f(t) dt

q

p

dx

!1q

≤ C

Z

−∞

f(x)σp(−∞, x)−pdx

1

p

(3.4) holds for every f ∈ M+.

Moreover, if C and C are the best constants in (3.3) and (3.4), respectively, then C ≈ C. Theorem 3.7. Let 1 ≤ p < ∞, 0 < q < ∞, {bn}, {cn} ∈ RZ+ and C > 0. Then the following two statements are equivalent.

(i) There exists a positive constant C depending only on p, q, {bn} and {cn} such that X

k∈Z

bk

k

X

i=−∞

aici

!q!1q

≤ C X

k∈Z

api

!1

p

(3.5) holds for every {an} ∈ RZ+.

(ii) There exists a positive constant C depending only on p, q, {bn} and {cn} such that either the inequality

 X

k∈Z

bk

k

X

i=−∞

ai

i

X

j=−∞

cpj

p p′

q p

1 q

≤ C X

k∈Z

ai

!1p

(3.6)

holds for every {an} ∈ RZ+ (when 1 < p < ∞), or such that inequality X

k∈Z

bk

k

X

i=−∞

ai sup

−∞<j≤i

cj

!q!1q

≤ CX

k∈Z

ai holds for every {an} ∈ RZ+ (when p = 1).

Moreover, if C and C are the best constants in (3.5) and (3.6), respectively, then C ≈ C. The proof is the same as that of Theorem 3.6 and therefore is omitted.

Now we shall formulate the main result of this section. As was already mentioned, no characterization is known in the case 1 ≤ p < ∞ and 0 < q < ∞ of the inequality (3.2). It is

(11)

worth noticing that for p = ∞ and 0 < q ≤ ∞ the characterization is trivial, while for q = ∞ and any p, (3.2) turns easily to a classical Hardy inequality after interchanging of the essential suprema. Our next theorem shows that, nevertheless, an application of the scaling argument to supremum operators leads to a rather surprising characterization of (3.2) for 1 ≤ p < ∞ and 0 < q < ∞.

Theorem 3.8. Let 1 ≤ p < ∞, 0 < q < ∞, let v, w be weights on R such thatR

x w(t)dt < ∞ for every x ∈ R and let U be a regular kernel. Then the following three statements are equivalent.

(i) There exists a constant C1 such that (3.2) holds for every f ∈ M+. (ii) There exists a constant C2 such that

Z

−∞

Z x

−∞

U(y, x)pf(y)dy

qp

w(x)dx

!pq

≤ C2 Z

−∞

f(x)σp(−∞, x)−pdx (3.7) holds for every f ∈ M+.

(iii) There exists a constant C3 such that

 Z

−∞

ess sup

−∞<y≤x

U(y, x)p Z y

−∞

f(t) dt

!qp

w(x)dx

p q

≤ C3 Z

−∞

f(x)σp(−∞, x)−pdx (3.8) holds for every f ∈ M+.

Moreover, if C1, C2 and C3 are the best constants in (3.2), (3.7) and (3.8), respectively, then C1≈ C

1 p

2 ≈ C

1 p

3.

The proof of this theorem will be given in the last section.

Using known characterizations of the inequality (3.7) that have been already mentioned (see the remarks preceding Theorem 2.1) and Theorem 3.8, we can now obtain a characterization of the inequality (3.2).

Theorem 3.9. Let 1 ≤ p ≤ ∞ and 0 < q ≤ ∞ and U be a regular kernel. Then inequal- ity (3.2) holds if and only if

(i) 1 ≤ p ≤ q < ∞,

A1:= sup

x∈R

σp(−∞, x)

Z x

U(x, y)qw(y) dy

1q

<∞;

(ii) 1 ≤ p < q = ∞,

A2:= sup

x∈R

σp(−∞, x) ess sup

x≤y<∞

U(x, y)w(y)

!

<∞;

(iii) p = q = ∞,

A3 := sup

x∈R

v−1(x) ess sup

x≤y<∞

U(x, y)w(y)

!

<∞;

(iv) 0 < q < p = ∞, A4:=

Z

−∞

Z x

−∞

U(y, x)v−1(y) dy

q

w(x) dx

1q

<∞;

(12)

(v) 0 < q < p, 1 ≤ p < ∞, A12:=

Z

−∞

Z x

w(y) dy

p−qq

w(x) ess sup

−∞<y≤x

U(y, x)p−qpq σp(−∞, x)p−qq dx

!p−qpq

<∞,

A13:=

Z

−∞

Z

x

U(x, y)qw(y) dy

 q

p−q

w(x) ess sup

−∞<y≤x

U(y, x)qσp(−∞, x)p−qq dx

!p−q

pq

<∞.

Moreover, if C is the optimal constant in (3.2), then, in cases (i)–(iv), C ≈ Ak, where k is the index corresponding to the label of the case, and in case (v) we have C ≈ A12+ A13.

Our next aim is to use the results obtained to characterize the discrete inequality, namely (3.1), by means of discrete conditions. We shall use the following notation.

For every {vn} ∈ RZ+, N, M ∈ Z, N < M , define

σp(N, M ) :=





 PM

i=Nvi1−p

1

p′

, 1 < p < ∞, sup

N≤i≤M

v−1i , p= 1.

Theorem 3.10. Let 1 ≤ p < ∞, 0 < q < ∞ and {vn}, {wn} ∈ RZ+. Let U be a regular kernel.

Then the following three conditions are equivalent.

(i) There exists a constant C such that (3.1) holds for every sequence {an} ∈ RZ+. (ii) There exists a constant C such that

X

n∈Z

wn

h Xn

i=−∞

U(i, n)papi iq

p

!1

q

≤ C X

n∈Z

σp(−∞, n)−papn

!1p

(3.9) holds for every sequence {an} ∈ RZ+.

(iii) There exists a constant C′′ such that X

n∈Z

wn

h sup

−∞<i≤n

U(i, n)p

i

X

j=−∞

apj iq

p

!1

q

≤ C′′ X

n∈Z

σp(−∞, n)−papn

!1p

(3.10) holds for every sequence {an} ∈ RZ+.

Moreover, if C, C and C′′ are the best constants in (3.1), (3.9) and (3.10), respectively, then C ≈ C≈ C′′.

Now we shall characterize (3.1) by discrete conditions.

Theorem 3.11. Let 1 ≤ p ≤ ∞ and 0 < q ≤ ∞. Let U is a regular kernel and {wn}, {vn} ∈ RZ+. The inequality (3.1) holds if and only if

(i) 1 ≤ p ≤ q < ∞,

D1:= sup

n∈Z

σp(−∞, n)

X

i=n

U(n, i)qwi

!1q

<∞;

(ii) 1 ≤ p < q = ∞,

D2:= sup

n∈Z

σp(−∞, n)

 sup

n≤i<∞

U(n, i)w

1 p

i



<∞;

(13)

(iii) p = q = ∞,

D3:= sup

n∈Z

vn−1

 sup

n≤i<∞

U(n, i)w

1 p

i



<∞;

(iv) 0 < q < p = ∞,

D4:= X

n∈Z n

X

i=−∞

U(i, n)vi−1

!q

wn

!1q

<∞;

(v) 0 < q < p < ∞,

D5:=

 X

n∈Z

X

i=n

wi

!p−qq

wn sup

−∞<i≤n

U(i, n)q−pqp σp(−∞, i)q−pq

p−q pq

<∞,

D6 :=

 X

n∈Z

X

i=n

U(n, i)qwi

! q

p−q

wn sup

−∞<i≤n

U(i, n)qσp(−∞, i)q−pq

p−q pq

<∞.

Moreover, if C is the optimal constant in (3.1), then, in cases (i)–(iv), C ≈ Dk, where k is the index corresponding to the label of the case, and in case (v) we have C ≈ D5+ D6.

4. Proofs of theorems from Section 2

Proof of Theorem 2.1. We shall perform the proof only in the case when both p and q are finite. The proof in the remaining cases is analogous and therefore omitted. Suppose that (1.2) holds and let f ∈ M+. Set an=Rn

n−1f for n ∈ Z. Then we get, using the H¨older inequality,

X

n∈Z

apnvn

!1

p

≤ X

n∈Z

Z n n−1

f(t)pvndt

!1

p

=

Z

−∞

f(t)pv(t) dt

1

p

and

X

n∈Z n

X

i=−∞

U(i, n)ai

!q

wn

!1q

= X

n∈Z

Z n

−∞

U(y, n)f (y) dy

qZ n n−1

w(t) dt

!1q

≥ X

n∈Z

Z n n−1

Z t

−∞

U(y, t)f (y) dy

q

w(t) dt

!1q

=

Z

−∞

Z t

−∞

U(y, t)f (y) dy

q

w(t) dt

1q , and (2.1) follows.

Conversely, assume that (2.1) is satisfied. Let {an} ∈ RZ+ be arbitrary. Define f =X

n∈Z

anχ(n−1,n].

(14)

Then we get X

n∈Z n

X

i=−∞

U(i, n)ai

!q

wn

!1q

≤ 21+1q X

n∈Z

Z n−1

2

−∞

U(y, n)f (y) dy

!q

Z n n−12

w(t) dt

!1q

≤ 21+1q X

n∈Z

Z n n−12

Z t

−∞

U(y, t)f (y) dy

q

w(t) dt

!1q

≤ 21+1q

Z

−∞

Z t

−∞

U(y, t)f (y) dy

q

w(t) dt

1q . Now, using (2.1), we obtain

X

n∈Z n

X

i=−∞

U(i, n)ai

!q

wn

!1q

≤ 21+1qC Z

−∞

f(t)pv(t) dt

!1p

= 21+1qC X

n∈Z

apnvn

!1p .

Hence, (1.2) follows. 

Proof of Theorem 2.2. The assertion follows from Theorem 2.1 and known necessary and sufficient conditions for (2.1) which were established in [19, Chap XI, §1.5, Theorem 4] (as- sertions (i)–(vi)), [29] (assertions (vii) and (viii)) and [25] (assertions (ix) and (x)). It is easy to verify that since U is a regular kernel, its extension to R2 satisfies hypotheses of the cited

results. 

Now we shall prove Theorem 2.3. To this end we shall need a few auxiliary lemmas.

Lemma 4.1. Let {wn} ∈ RZ+ and 1 < D < ∞. Then there exist elements M ∈ Z ∪ {∞} and N ∈ {−∞} ∪ Z and a strictly increasing sequence {nk}Mk=N −1 such that the following three conditions are satisfied:

(i) if M ∈ Z, then P

i=nMwi > 0 and P

i=kwi = 0 for every k > nM; if N ∈ Z, then nN−1= −∞,

(ii)P

i=nk−1+1wi≤ DP

i=nkwi for every k ∈ Z ∩ [N, M ], (iii) DP

i=nk+1wi≤P

i=nk−1wi for every k ∈ Z ∩ (N, M ).

Proof. Define the sets Ak by Ak=

(

k∈ Z : D−k <

X

i=k

wi ≤ D−k+1 )

, k∈ Z.

Let {Amk}Mk=N be the maximal subsequence of {Ak}k∈Z which contains only nonempty sets and let nk = sup Amk. It is clear that the sequence {nk}Mk=N is strictly increasing. Moreover, if M ∈ Z, thenP

i=nMwi >0 andP

i=kwi = 0 for every k > nM. If N ∈ Z, then nN >−∞

and we put nN−1= −∞. This shows (i). We have D−mk <

X

i=nk

wi≤ D−mk+1 for every k ∈ Z ∩ [N, M ]. (4.1) If nk−1< j ≤ nk, then j ∈ Amk. Together with (4.1), this implies that

X

i=nk−1+1

wi ≤ D

X

i=nk

wi for every k ∈ Z ∩ [N, M ],

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