Boundedness of One Class of Integral Operators from Second Order Weighted Sobolev Space to Weighted Lebesgue Space
Abstract
In the paper, for a certain class of Hardy operators with kernels, we consider the problem of their boundedness from a second order weighted Sobolev space to a weighted Lebesgue space.
1. Introduction
Let I = (0, ∞) and 1 < p, q < ∞. Let u and v be positive functions locally integrable on the interval I. In addition, suppose that , where p′ = p/p − 1.
In the paper, we study inequality (3) under condition (4) for a certain class of integral operators. Note that in the case when is the identity operator , inequalities of form (3) have been studied in many papers. Some results with proofs and a survey of other results with comments are given in Chapter 4 of the book [3]. Our work is related to the works [5, 6], in which inequality (3) with was studied under various zero boundary conditions for .
The boundedness of integral operators in form (2) from a first order weighted Sobolev space to a weighted Lebesgue space has been investigated in the series of papers (see, e.g., [1, 2] and references given therein).
The paper is organized as follows. In Section 2, we present definitions and statements required to prove the main results. In Section 3, we present and prove the main results, especially we obtain necessary and sufficient conditions for the validity of inequality (3). In Section 4, we present corollaries that follow from the results of Section 3.
2. Axillary Definitions and Statements
Let −∞≤a < b ≤ ∞. In the paper, χ(a, b)(·) is the characteristic function of the interval (a, b). Moreover, the notation A ≪ B means A ≤ cB and A ≈ B means A ≪ B ≪ A.
From the book [3], we have the following theorem.
Theorem 1. Let 1 < p ≤ q < ∞.
- (i)
The inequality
In addition, C ≈ A, where C is the best constant in (5).
- (ii)
The inequality
In addition, C ≈ A⋆, where C is the best constant in (7).
The following definitions and statements are from the paper [7].
Definition 2. Let K(x, s) be a nonnegative function measurable on the set Ω{(x, s): a < s ≤ x < b} and nonincreasing in the second argument. We say that the function K(x, s) belongs to the class if there exist nonnegative functions w(x) and K0,1(t, s) measurable on Ω such that
Definition 3. Let K(x, s) be a nonnegative function measurable on the set Ω and nonincreasing in the second argument. We say that the function K(x, s) belongs to the class if there exist and nonnegative functions w(x), K0,2(t, s), and K1,2(t, s) measurable on Ω such that
Definition 4. Let K(x, s) be a nonnegative function measurable on the set Ω and nonincreasing in the second argument. We say that the function K(x, s) belongs to the class if there exist , , and nonnegative functions w(x), K0,3(t, s), K1,3(t, s), and K2,3(t, s) measurable on Ω such that
Let
Theorem 5. Let 1 < p ≤ q < ∞. Let the kernel of operator (2) belong to the class . Then, the inequality
Let
Theorem 6. Let 1 < p ≤ q < ∞. Let the kernel of operator (2) belong to the class . Then, inequality (15) holds if and only if B2(a, b) < ∞. In addition, C ≈ B2(a, b), where C is the best constant in (15).
Let
Theorem 7. Let 1 < p ≤ q < ∞. Let the kernel of operator (2) belong to the class . Then, inequality (15) holds if and only if B3(a, b) < ∞. In addition, C ≈ B3(a, b), where C is the best constant in (15).
For , we assume that , , , and regardless of whether they are finite or infinite.
The following statement is from the paper [4].
Theorem 8. Let 1 < p < ∞. If the conditions
3. Main Results
First, we state some necessary lemmas. Some of them are new and of independent interest, and therefore proved in detail.
Lemma 9. Let , where K1(x, s) ≈ K1(x, t) + w(x)K0,1(t, s) for a < s ≤ t ≤ x < b. Then
Proof.
- (i)
For a < s ≤ τ ≤ x < b, we have
Therefore, by (10), we get that .
- (ii)
For a < s ≤ τ ≤ x < b, it easily follows that
- (iii)
Using (28), for a < s ≤ τ ≤ x < b, we have
Then, in view of (11), we obtain that . The proof is complete.
Let a = 0 and b = ∞. Assume that
By using part (iii) of Lemma 9 and Theorem 7, we have one more lemma.
Lemma 10. Let 1 < p ≤ q < ∞ and . Then, the inequality
Let
Using (28) and the inverse Hölder’s inequality, by Theorem 5, we have the following lemma.
Lemma 11. Let 1 < p ≤ q < ∞ and . Then, the inequality
Let
From part (i) of Theorem 1, we can state the following lemma.
Lemma 12. Let 1 < p ≤ q < ∞. Then, the inequality
Assume that
By using part (i) of Lemma 9 and Theorem 6, we get the following statement.
Lemma 13. Let 1 < p ≤ q < ∞ and . Then, the inequality
Let
Lemma 14. Let 1 < p ≤ q < ∞ and . Then, the inequality
Proof. Since , by Lemma 9, we have that
Hence, inequality (54) is equivalent to simultaneous fulfilment of the following inequalities:
In addition, , where and are the best constants in (56) and (57), respectively. By Theorem 5, inequality (56) holds if and only if , and in addition, . By part (i) of Theorem 1, inequality (57) holds if and only if A+(τ) < ∞, and in addition, . Then, inequality (54) holds if and only if and . The proof is complete.
By using part (ii) of Theorem 1, we have the following lemma.
Lemma 15. Let 1 < p ≤ q < ∞. Then, the inequality
Let infinitely differentiable functions φ and ψ be such that 1 ≥ φ ≥ 0, 1 ≥ ψ ≥ 0, φ(t) = 1 for 0 < t < 1/2, φ(t) = 0 for t ≥ 3/2, ψ(t) = 1 for t > 3/2 and ψ(t) = 0 for 0 < t ≤ 1/2. Moreover, φ(t) > 0, ψ(t) > 0 for 1/2 < t < 3/2 and φ(t) + ψ(t) = 1 for all t ∈ I.
Assume that P− and P+ are polynomials such that P−(t) = c0 + c1t and P+(t) = c2t, where ci ∈ ℝ, i = 0, 1, 2. Denote by {P−} and {P+} the sets of polynomials in the form P− and P+, respectively.
Our first main result reads.
Theorem 16. Let 1 < p ≤ q < ∞ and . Let condition (25) hold. Then, inequality (63) holds if and only if EF < ∞. In addition, C ≈ EF, where C is the best constant in (63).
Proof. Sufficiency. From (25) by Theorem 8, it follows the validity of (26). As in Theorem 2.1 of [5], using (26), for , we get
Assume that . Then, in (66), the condition is equivalent to the condition . Replacing (66) into the left-hand side of (63), we find that
Therefore, inequality (63) has the form
In the left-hand side of (68), using the Minkowski’s inequality for sums, then, applying Lemmas 10, 11, 12, 13, and 14 to each term, we get
Since the left-hand side of inequality (63) does not depend on τ ∈ I, then, taking in the right-hand side of (69) infimum with respect to τ ∈ I, we can conclude that
Necessity. By the conditions of Theorem 16, we have that v−1 ∈ Lp′(I). Then, for any τ ∈ I, there exists kτ such that
Let us use the ideas in the paper [5]. For τ ∈ I, we consider two sets and . For each and , we, respectively, construct the functions and so that g(t) = g1(t) for 0 < t ≤ τ and g(t) = g2(t) for t > τ belongs to the set .
We define a strictly increasing function ρ : (0, τ)⟶(τ, ∞) from the relation
Then, for , we construct
Changing the variables ρ−1(t) = s and using the first equality in (74), we find that
Similarly, using the second equality in (74), we get
From (77) and (78), assuming that g(t) = g1(t) for 0 < t ≤ τ and g(t) = g2(t) for t > τ, we have
i.e., g ∈ Lp,v(I). For any τ ∈ I integrating both sides of (75) from τ to ∞ and (76) from 0 to τ, we find that
Hence, constructed from the functions and , the function g belongs to . Replacing it into (68), we get
Let the function constructed from the function . Then, from (81) and (79), we have
Due to arbitrariness of g1 ∈ Lp,v(0, τ), by Lemmas 10, 11, and 12, the latter gives that
Similarly, due to (81) and (79), for the function constructed from the function , we obtain
From (83) and (84), we find that
Therefore, EF ≪ C, which, together with (70), yields that EF ≈ C, where C is the best constant in (63). The proof is complete.
Our main result concerning Hardy-type inequality (3) reads.
Theorem 17. Let 1 < p ≤ q < ∞ and . Let conditions in (25) hold. Then, inequality (3) holds if and only if max{G, EF} < ∞. In addition, C ≈ max{G, EF}, where C is the best constant in (3).
Proof. Due to (60), we consider inequality (3) on the set
The function f ∈ H has the form
Hence, f′′(t) = 0 almost everywhere on t ∈ I. Therefore, on the basis of (61), we have
Let f0 ∈ H be such that
Then, from (89), we obtain
Let max{|c0| + |c1|, |c2|} = L. Then, |f(t)| ≤ L(χ(0, 1)(t) + χ(1,∞)(t)t). Replacing the function f into the left-hand side of (89), we get
The latter, together with C ≫ G, gives that C ≈ G. Then, by Theorem 16, it follows that C ≈ max{G, EF}, where C is the best constant in (3). The proof is complete.
4. Corollaries
After these changes, we denote E(τ) by , F(τ) by , and EF by and get the following statement.
Corollary 18. Let 1 < p ≤ q < ∞ and the kernel of (2) satisfy condition (93). Let conditions (25) hold.
- (i)
Inequality (63) holds if and only if . In addition, , where C is the best constant in (63)
- (ii)
Inequality (3) holds if and only if . In addition, , where C is the best constant in (3)
Let n ≥ 3. Instead of operator (2), we consider the operator of Riemann-Liouville In−2, defined by
The kernel (x − t)n−3 of the operator In−2 satisfies condition (93), and therefore, it belongs to the class . In this case, we replace K(x, t) and K0,1(x, t) by (x − t)n−3 and assume that w(x) ≡ 1. For the kernel (x − t)n−3 inequality, (38) has the form
Then, according to Theorem 5, we have , where
For the sum of kernels of the operators in (42) and (44), we deduce that
Then instead of inequalities (42) and (44), we, respectively, have
By part (i) of Theorem 1, this yields that
Assume that . Now, for the sum of kernels of the operators in (49) and (54), we get
Then instead of inequalities (49) and (54), we obtain
Hence, by part (i) of Theorem 1 we have
For the kernel (x − t)n−3 inequality (59) can be written as follows:
Therefore, by using part (ii) of Theorem 1, we find
Assume that
Thus, for inequality (63) with operator (99)
Corollary 19. Let 1 < p ≤ q < ∞ and conditions (25) hold. Then, inequality (115) holds if and only if . In addition, , where C is the best constant in (115).
From Corollary 19, we get one more corollary.
Corollary 20. Let 1 < p ≤ q < ∞ and conditions (25) hold. Then, inequality (116) with conditions (117) holds if and only if . In addition, , where C is the best constant in (116).
The statement of Corollary 20 gives one of the results of the work [6].
Conflicts of Interest
The author declares that she has no conflicts of interest.
Acknowledgments
This work was supported by the Ministry of Education and Science of the Republic of Kazakhstan in the area “Scientific research in the field of natural sciences” (grant number AP09259084).
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Data Availability
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