2010
DOI: 10.1017/s0013091509000364
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An affine-invariant inequality for rational functions and applications in harmonic analysis

Abstract: Abstract. We extend an affine invariant inequality for vector polynomials established in [6] to general rational functions. As a consequence we obtain sharp universal estimates for various problems in euclidean harmonic analysis defined with respect to the so-called affine arclength measure.

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Cited by 8 publications
(14 citation statements)
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References 16 publications
(24 reference statements)
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“…We note that Dendrinos, Folch-Gabayet and Wright have recently shown in [8] that Theorem 2 extends to d-tuples of rational functions of bounded degree. It therefore seems likely that Theorem 1 could be generalized to give bounds for convolution with affine arclength along curves parametrized by such functions, but the author has not investigated the extent to which the arguments in this article would need to be changed.…”
Section: Initial Simplifications and A Key Theoremmentioning
confidence: 70%
“…We note that Dendrinos, Folch-Gabayet and Wright have recently shown in [8] that Theorem 2 extends to d-tuples of rational functions of bounded degree. It therefore seems likely that Theorem 1 could be generalized to give bounds for convolution with affine arclength along curves parametrized by such functions, but the author has not investigated the extent to which the arguments in this article would need to be changed.…”
Section: Initial Simplifications and A Key Theoremmentioning
confidence: 70%
“…Here D a h is given by (12). Then by Lemma 3.1 it follows that (32) γ h,a τ (t) = (t a 1 ϕ 1 (ht), t a 2 ϕ 2 (ht), .…”
Section: Proof Of Theorem 13; Finite Type Curvesmentioning
confidence: 99%
“…(For higher dimensions there is a similar representation, defined recursively, which involves integrals of φ (d) (z). See [4,15,12].) Hence, by our assumption that Lemma 4.2 holds for d ≥ 3, it follows that Next, we change variables in the integral (6.11) and use the Plancherel theorem.…”
Section: Interpolation Of Multilinear Operators With Symmetriesmentioning
confidence: 99%