Abstract

We obtain partial improvement toward the pointwise convergence problem of Schrödinger solutions, in the general setting of fractal measure. In particular, we show that, for $n\geqslant 3$, $\lim _{t\rightarrow 0}e^{it\unicode[STIX]{x1D6E5}}f(x)$$=f(x)$ almost everywhere with respect to Lebesgue measure for all $f\in H^{s}(\mathbb{R}^{n})$ provided that $s>(n+1)/2(n+2)$. The proof uses linear refined Strichartz estimates. We also prove a multilinear refined Strichartz using decoupling and multilinear Kakeya.

Highlights

  • The solution to the free Schrodinger equation i ut − ∆u = 0, (x, t) ∈ Rn × R u(x, 0) = f (x), x ∈ Rn (1.1)c The Author(s) 2018

  • In [9], via polynomial partitioning developed in [11, 12] and linear and bilinear refined Strichartz, some new weighted restriction estimates were established, and as applications improved results were obtained for the Falconer distance set problem and the spherical average decay rates of the Fourier transform of fractal measures

  • We prove a multilinear refined Strichartz using decoupling and multilinear Kakeya

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Summary

Introduction

In [8], the almost sharp result s > 1/3 is obtained in the setting of Lebesgue measure, and the sharp Schrodinger maximal estimate in [8] implies directly the following generalized improvement: α2(s) 3 − 3s, 1/3 < s < 1/2. Linear and bilinear refined Strichartz were derived in [8] to solve the pointwise convergence problem in two dimensions. In [9], via polynomial partitioning developed in [11, 12] and linear and bilinear refined Strichartz, some new weighted restriction estimates were established, and as applications improved results were obtained for the Falconer distance set problem and the spherical average decay rates of the Fourier transform of fractal measures.

Wave packet decomposition
Multilinear refined Strichartz estimate
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