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The space-time estimates for the Schrödinger equation

Junfeng Li, Changxing Miao, Ankang Yu

Abstract

In this paper, we studied the space-time estimates for the solution to the Schrödinger equation. By polynomial partitioning, induction arguments, bilinear to linear arguments and broad norm estimates, we set up several maximal estimates for the Schrödinger equation with high-frequency input data. By these maximal estimates, we obtain the sharp global space-time estimate when $n=2$ and improve the known results in the critical cases when $n\geq 3$. The maximal estimate for $n=2$ is also used to extend the results of the local space-time estimates for the solution to the Schrödinger equation.

The space-time estimates for the Schrödinger equation

Abstract

In this paper, we studied the space-time estimates for the solution to the Schrödinger equation. By polynomial partitioning, induction arguments, bilinear to linear arguments and broad norm estimates, we set up several maximal estimates for the Schrödinger equation with high-frequency input data. By these maximal estimates, we obtain the sharp global space-time estimate when and improve the known results in the critical cases when . The maximal estimate for is also used to extend the results of the local space-time estimates for the solution to the Schrödinger equation.
Paper Structure (20 sections, 27 theorems, 269 equations, 6 figures, 1 table)

This paper contains 20 sections, 27 theorems, 269 equations, 6 figures, 1 table.

Key Result

Theorem 1.1

kt98s77. Let $r\geq 2$, $2\leq p<\infty$ and $\frac{n}{p}+\frac{2}{r}\leq\frac{n}{2}$. Then

Figures (6)

  • Figure 1: $n=2$
  • Figure 2: $n\geq3$
  • Figure 3:
  • Figure 4: $A=(\frac{13}{42},\frac{13}{42})$, $B=(\frac{5}{16},\frac{1}{4})$, $C=(\frac{7}{22},\frac{2}{11})$
  • Figure 5: $P_j\rightarrow Q_j$
  • ...and 1 more figures

Theorems & Definitions (42)

  • Theorem 1.1
  • Conjecture 1.2
  • Theorem 1.3: High frequency input endpoint estimate for $n=2$
  • Theorem 1.4: High frequency input estimate for $n\geq3$
  • Remark 1.5
  • Theorem 1.6
  • Remark 1.7
  • Remark 1.8
  • Conjecture 1.9
  • Theorem 1.10
  • ...and 32 more