A measure with small support and p-summable Fourier transform
We construct a probability measure $μ$ supported on a set of zero $2d/p$-Hausdorff measure such that $\hatμ\in L_{p}(\mathbb{R}^d)$.
math.CA↗
arXiv subjects
Publications and source records attributed to Nikita P. Dobronravov.
We construct a probability measure $μ$ supported on a set of zero $2d/p$-Hausdorff measure such that $\hatμ\in L_{p}(\mathbb{R}^d)$.
We study sharpness of various generalizations of Frostman's lemma. These generalizations provide better estimates for the lower Hausdorff dimension of measures. As a corollary, we prove that if a generalized anisotropic gradient $(\partial_1^{m_1} f, \partial_2^{m_2} f,\ldots, \partial_d^{m_d} f)$ of a function $f$ in $d$ variables is a measure of bounded variation, then this measure is absolutely continuous with respect to the Hausdorff $d-1$ dimensional measure.