Abstract:Necessary conditions and sufficient conditions on weights u and w are given for the Fourier transform F to be bounded as a map between the Lorentz spaces Γq(w) and Λp(u). This may be viewed as a weighted extension of a result of Jodeit and Torchinsky on operators of type (1, ∞) and (2, 2). In the case 0 < p ≤ 2 = q, the necessary and sufficient conditions are equivalent and give a simple weight condition which is equivalent to F : Γ 2 (w) → Λp(u) and also to F : Γ 2 (w) → Γp(u).
“…Section 3 is devoted to an exposition of Lorentz spaces and to the work of Sawyer [50] which we shall use in Section 4. We do not use the results of Flett [16] from 1973 on the classical Lorentz spaces L(p, q), nor do we use the comparably beautiful recent results of Sinnamon [52]; on the other hand, their theories do complement our approach, e. g., see the first paragraph of Section 4. We close Section 3 with a remark on Köthe spaces, which can be considered a formulation in topological vector spaces of a natural generalization of Lorentz spaces.…”
Section: Results and Outlinementioning
confidence: 99%
“…Because of Theorem C and Lorentz' theorem, stated in Remark 1, these weighted Lorentz spaces are in the Banach space setting. Sinnamon's work [52], referenced earlier, provides different Fourier mapping theorems by foregoing any Banach space structure.…”
Section: Fourier Transform Inequalities In Weighted Lorentz Spacesmentioning
Fourier transform inequalities in weighted Lebesgue spaces are proved. The inequalities are generalizations of the Plancherel theorem, they are characterized in terms of uncertainty principle relations between pairs of weights, and they are put in the context of existing weighted Fourier transform inequalities. The proofs are new and relatively elementary, and they give rise to good and explicit constants controlling the continuity of the Fourier transform operator. The smaller the constant is, the more applicable the inequality will be in establishing weighted uncertainty principle or entropy inequalities. There are two essentially different proofs, one depending on operator theory and one depending on Lorentz spaces. The results from these approaches are quantitatively compared, leading to classical questions concerning multipliers and to new questions concerning wavelets.
“…Section 3 is devoted to an exposition of Lorentz spaces and to the work of Sawyer [50] which we shall use in Section 4. We do not use the results of Flett [16] from 1973 on the classical Lorentz spaces L(p, q), nor do we use the comparably beautiful recent results of Sinnamon [52]; on the other hand, their theories do complement our approach, e. g., see the first paragraph of Section 4. We close Section 3 with a remark on Köthe spaces, which can be considered a formulation in topological vector spaces of a natural generalization of Lorentz spaces.…”
Section: Results and Outlinementioning
confidence: 99%
“…Because of Theorem C and Lorentz' theorem, stated in Remark 1, these weighted Lorentz spaces are in the Banach space setting. Sinnamon's work [52], referenced earlier, provides different Fourier mapping theorems by foregoing any Banach space structure.…”
Section: Fourier Transform Inequalities In Weighted Lorentz Spacesmentioning
Fourier transform inequalities in weighted Lebesgue spaces are proved. The inequalities are generalizations of the Plancherel theorem, they are characterized in terms of uncertainty principle relations between pairs of weights, and they are put in the context of existing weighted Fourier transform inequalities. The proofs are new and relatively elementary, and they give rise to good and explicit constants controlling the continuity of the Fourier transform operator. The smaller the constant is, the more applicable the inequality will be in establishing weighted uncertainty principle or entropy inequalities. There are two essentially different proofs, one depending on operator theory and one depending on Lorentz spaces. The results from these approaches are quantitatively compared, leading to classical questions concerning multipliers and to new questions concerning wavelets.
We generalize the classical Riesz convergence theorem to Lorentz spaces, i.e., if f, f1, f2, . . . ∈ L p,q such that fn → f (a.e. or in measure) and fn p,q → f p,q , then fn − f p,q → 0 as n → ∞.
“…Very little concerning this problem was known before the early 1980s. Notable results can be found in Muckenhoupt [8], Aguilera and Harboure [1], Jurkat and Sampson [7], Benedetto and Heinig [2], Benedetto, Heinig, and Johnson [4,5], and Sinnamon [9,10]. A survey of the subject, which includes new proofs and generalizations, can be found in Benedetto and Heinig [3].…”
We discuss conditions on weight functions, necessary or sufficient, so that the Fourier transform is bounded from one weighted Lebesgue space to another. The sufficient condition and the primary necessary condition presented are similar, one being phrased is terms of arbitrary measurable sets and the other in terms of cubes. We believe that the symmetry amongst the two conditions helps frame how a single condition, necessary and sufficient, might appear.We discuss necessary conditions and a sufficient condition on nonnegative functions u and v such that the following weighted norm inequality holds for the Fourier transform: there exists a constant C such that
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.