The Bochner-Riesz problem: an old approach revisited
Shaoming Guo, Changkeun Oh, Hong Wang, Shukun Wu, and Ruixiang Zhang

TL;DR
This paper applies recent Fourier restriction techniques to the Bochner-Riesz problem, using pseudo-conformal transformations and induction-on-scales, leading to improved results matching the best known Fourier restriction ranges in high dimensions.
Contribution
It introduces a novel approach by adapting Fourier restriction methods to the Bochner-Riesz problem, achieving the best known results in high dimensions.
Findings
Improved the Bochner-Riesz problem to the best known Fourier restriction range in high dimensions.
Applied pseudo-conformal transformation and induction-on-scales techniques.
Unified approach enhances understanding of Fourier analysis problems.
Abstract
We show that the recent techniques developed to study the Fourier restriction problem apply equally well to the Bochner-Riesz problem. This is achieved via applying a pseudo-conformal transformation and a two-parameter induction-on-scales argument. As a consequence, we improve the Bochner-Riesz problem to the best known range of the Fourier restriction problem in all high dimensions.
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Taxonomy
TopicsStochastic processes and financial applications
