{"title":"A Class of Oscillatory Singular Integrals with Rough Kernels and Fewnomials Phases","authors":"Jiao Ma, Chenyan Wang, Huoxiong Wu","doi":"10.1007/s00041-023-10066-8","DOIUrl":null,"url":null,"abstract":"<p>This paper is concerned with the oscillatory singular integral operator <span>\\(T_Q\\)</span> defined by </p><span>$$\\begin{aligned} T_Qf(x)=\\mathrm{p.v.}\\int _{{\\mathbb {R}^n}}f(x-y)\\frac{\\Omega (y)}{|y|^n}e^{iQ(|y|)}dy, \\end{aligned}$$</span><p>where <span>\\(Q(t)=\\sum _{1\\le i\\le m}a_it^{\\alpha _i}\\)</span> is a real-valued polynomial on <span>\\(\\mathbb {R}\\)</span>, <span>\\(\\Omega \\)</span> is a homogenous function of degree zero on <span>\\(\\mathbb {R}^n\\)</span> with mean value zero on the unit sphere <span>\\(S^{n-1}\\)</span>. Under the assumption of that <span>\\(\\Omega \\in H^1(S^{n-1})\\)</span>, the authors show that <span>\\(T_Q\\)</span> is bounded on the weighted Lebesgue spaces <span>\\(L^p(\\omega )\\)</span> for <span>\\(1<p<\\infty \\)</span> and <span>\\(\\omega \\in \\tilde{A}_{p}^{I}(\\mathbb {R}_+)\\)</span> with the uniform bound only depending on <i>m</i>, the number of monomials in polynomial <i>Q</i>, not on the degree of <i>Q</i> as in the previous results. This result is new even in the case <span>\\(\\omega \\equiv 1\\)</span>, which can also be regarded as an improvement and generalization of the result obtained by Guo in [New York J. Math. 23 (2017), 1733-1738].</p>","PeriodicalId":15993,"journal":{"name":"Journal of Fourier Analysis and Applications","volume":"19 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Fourier Analysis and Applications","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00041-023-10066-8","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper is concerned with the oscillatory singular integral operator \(T_Q\) defined by
where \(Q(t)=\sum _{1\le i\le m}a_it^{\alpha _i}\) is a real-valued polynomial on \(\mathbb {R}\), \(\Omega \) is a homogenous function of degree zero on \(\mathbb {R}^n\) with mean value zero on the unit sphere \(S^{n-1}\). Under the assumption of that \(\Omega \in H^1(S^{n-1})\), the authors show that \(T_Q\) is bounded on the weighted Lebesgue spaces \(L^p(\omega )\) for \(1<p<\infty \) and \(\omega \in \tilde{A}_{p}^{I}(\mathbb {R}_+)\) with the uniform bound only depending on m, the number of monomials in polynomial Q, not on the degree of Q as in the previous results. This result is new even in the case \(\omega \equiv 1\), which can also be regarded as an improvement and generalization of the result obtained by Guo in [New York J. Math. 23 (2017), 1733-1738].
期刊介绍:
The Journal of Fourier Analysis and Applications will publish results in Fourier analysis, as well as applicable mathematics having a significant Fourier analytic component. Appropriate manuscripts at the highest research level will be accepted for publication. Because of the extensive, intricate, and fundamental relationship between Fourier analysis and so many other subjects, selected and readable surveys will also be published. These surveys will include historical articles, research tutorials, and expositions of specific topics.
TheJournal of Fourier Analysis and Applications will provide a perspective and means for centralizing and disseminating new information from the vantage point of Fourier analysis. The breadth of Fourier analysis and diversity of its applicability require that each paper should contain a clear and motivated introduction, which is accessible to all of our readers.
Areas of applications include the following:
antenna theory * crystallography * fast algorithms * Gabor theory and applications * image processing * number theory * optics * partial differential equations * prediction theory * radar applications * sampling theory * spectral estimation * speech processing * stochastic processes * time-frequency analysis * time series * tomography * turbulence * uncertainty principles * wavelet theory and applications