O'Neil inequality for multilinear convolutions and some applications
Yazarlar (2)
Vagif S. Guliyev Baku State University, Azerbaycan
Prof. Dr. Vagıf GULIYEV Baku State University, Azerbaycan
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Integral Equations and Operator Theory (Q2)
Dergi ISSN 0378-620X Wos Dergi Scopus Dergi
Makale Dili İngilizce Basım Tarihi 04-2008
Cilt / Sayı / Sayfa 60 / 4 / 485–497 DOI 10.1007/s00020-008-1576-7
Makale Linki https://link.springer.com/article/10.1007/s00020-008-1576-7
Özet
In this paper we prove the O’Neil inequality for the k-linear convolution f ⊗ g. By using the O’Neil inequality for rearrangements we obtain a pointwise rearrangement estimate of the k-linear convolution. As an application, we obtain necessary and sufficient conditions on the parameters for the boundedness of the k-sublinear fractional maximal operator MΩ, α and k-linear fractional integral operator IΩ, α with rough kernels from the spaces \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L_{p1} \times L_{p2} \times . . . \times L_{pk} ({\mathbb{R}}^{n}) {\rm to} L_{q}({\mathbb{R}}^{n}).$$\end{document}
Anahtar Kelimeler
Lebesgue space | O'Neil inequality | Rearrangement estimate | Rough k-sublinear fractional maximal function | Rough multilinear fractional integral