Let \(J\) be an interval with \(|I| = b\), \(p \in [1,\infty]\), \(\gamma \in (0,1]\), \(a\in \mathbb{R}_+^n\) and \(E \subset \mathbb{R}\) a \((\gamma, a)\)-thick set . Then two universal constants \(c_1, c_2>0\) exists such that
\[\lVert f \rVert_{L^p(\mathbb{R})} \le \Bigl(\frac{c_1}{\gamma}\Bigr)^{c_2(a \cdot b+1)}\lVert f\rVert_{L^p(E)}.\][1, Theorem 1]
Case \(p\neq \infty\) Link to heading
The proof can be divided in the following steps:
1. Simplification of the problem Link to heading
Without loss of generality we assume \(\supp \hat{f} \subset [-b/2, b/2]\), otherwise consider \(f(x)\exp(\mathrm{i}cx)\) for suitable \(c\in \mathbb{R}\) which does not change the overall norm. In the following we consider \(g(x)=f(ax)\) and \(\widetilde{E}=E/a=\{x/a \mid x\in E\}\), which is a \((\gamma,1)\)-thick set. Note, that \(\supp \hat{g} \subset [-ab/2, ab/2]\).
2. Apply complex lemma on intervals with unit length to get an estimate where some supremum is involved Link to heading
We decompose the real line into intervals of length 1. On every interval \(I\) we may apply (0x6698f0dc) on \(\phi=\frac{g}{\lVert g\rVert_{L^p(I)}}\) since \(g\) is analytic on the whole real line and due to (0x669e0e75) a point \(x_0\in I\) exists and such that \(g(x_0)\ge \lVert g\rVert_{L^p(I)}\). Thus we obtain
\[ \lVert g\rVert_{L^p(I)} \le \biggl(\frac{24}{|\widetilde{E}\cap I|}\biggr)^{2 \frac{\log M}{\log 2} + \frac{1}{p}} \lVert g\rVert_{L^p(\widetilde{E}\cap I)}, \]where \(M=\max_{|z-z_0|\le 4} \frac{|g(z)|}{\lVert g\rVert_{L^p(I)}}\). Note that the scaling factor \(\frac{1}{\lVert g\rVert_{L^p(I)}}\) disappears in the inequality.
3. Estimate of the supremum on good intervals Link to heading
Using Kovrijkine’s Lemma we estimate \(M\) on each good interval \(I\) with
\begin{align} M &= \frac{1}{\lVert g\rVert_{L^p(I)}}\sup_{z\in D_4(x_0)}|g(z)| \\ &= \frac{1}{\lVert g\rVert_{L^p(I)}}\sup_{z\in D_5(x_1)}|g(z)| \\ &\le 2^{1/p}\exp(5Cab), \end{align}where \(x_1\) is the expansion point mentioned in the lemma. Note, that the \(a\) appears in the constant, because \(\supp g \subset [-ab/2, ab/2]\).
4. Combine results of step 2 and 3 to obtain the result. Link to heading
Combining both, we obtain
\begin{align} \lVert g\rVert_{L^p(\widetilde{E})} &\ge \sum_{\text{\(I\) is good}} \lVert g\rVert_{L^p(\widetilde{E}\cap I)} \\ &\ge \sum_{\text{\(I\) is good}} \biggl(\frac{|\widetilde{E}\cap I|}{24}\biggr)^{C(ab + 1/p)} \lVert g\rVert_{L^p(I)}, \\ &\ge \sum_{\text{\(I\) is good}} \biggl(\frac{\gamma}{24}\biggr)^{C(ab + 1/p)} \lVert g\rVert_{L^p(I)}, \\ &\ge 2^{-1/p}\biggl(\frac{\gamma}{24}\biggr)^{C(ab + 1/p)} \lVert g\rVert_{L^p(\mathbb{R})}, \end{align}where we also used the thickness property of \(\widetilde{E}\) and the fact, that the family of good intervals is sufficiently large. Note, that \(C>0\) is some numerical constant.
Finally using \(\lVert g\rVert_{L^p(\widetilde{E})}=1/a^p\lVert f\rVert_{L^p(E)}\) and \(\lVert g\rVert_{L^p(\mathbb{R})}=1/a^p\lVert f\rVert_{L^p(\mathbb{R})}\) we obtain the desired result.
- This is an improvement compared to the classical Logvinenko-Sereda Theorem , since the constant has only polynomial dependence on \(\gamma\).
- This Result is qualitatively optimal.
- We may omit the first step and obtain the same result.
See also Link to heading
References Link to heading
- O. Kovrijkine,
Some results related to the Logvinenko-Sereda theorem,
Proceedings of the American Mathematical Society, vol. 129, no. 10, pp. 3037–3047, 2001. doi:10.1090/S0002-9939-01-05926-3