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Sharp estimates for eigenvalues of localization operators before the plunge region

Aleksei Kulikov

Abstract

We study two closely related yet different localization operators: the time-frequency localization operator to the pair of intervals $S_{I, J} = P_I \mathcal{F}^{-1} P_J\mathcal{F} P_I$ and the localization of the coherent state transform to the square $L_Q$. Eigenvalues of both of them exhibit the same phase transition: if $|I| |J| = |Q| = c$ then first $\approx c$ eigenvalues are very close to $1$, then there are $o(c)$ intermediate eigenvalues and the rest of the eigenvalues are very close to $0$. Moreover, for both of them if $n < (1-\varepsilon)c$ for fixed $\varepsilon > 0$ then the eigenvalues are exponentially close to $1$. The goal of this paper is to establish sharp uniform bounds on these eigenvalues when $n$ is close to $c$ and see if there is a qualitative difference between the spectrums of $S_{I, J}$ and $S_Q$. We show that for $n < c -c^{0.99}$, say, in the time-frequency localization case we have $-\log(1-λ_n(c))\asymp\frac{c-n}{\log(\frac{2c}{c-n})}$ while in the coherent state transform case we have $-\log(1-μ_n(c))\asymp (\sqrt{c}-\sqrt{n})^2,$ which is much smaller if $c-n = o(c)$, so there is indeed a difference between these two cases. The proofs crucially rely on the complex-analytic interpretations of these localization operators.

Sharp estimates for eigenvalues of localization operators before the plunge region

Abstract

We study two closely related yet different localization operators: the time-frequency localization operator to the pair of intervals and the localization of the coherent state transform to the square . Eigenvalues of both of them exhibit the same phase transition: if then first eigenvalues are very close to , then there are intermediate eigenvalues and the rest of the eigenvalues are very close to . Moreover, for both of them if for fixed then the eigenvalues are exponentially close to . The goal of this paper is to establish sharp uniform bounds on these eigenvalues when is close to and see if there is a qualitative difference between the spectrums of and . We show that for , say, in the time-frequency localization case we have while in the coherent state transform case we have which is much smaller if , so there is indeed a difference between these two cases. The proofs crucially rely on the complex-analytic interpretations of these localization operators.
Paper Structure (12 sections, 12 theorems, 115 equations)

This paper contains 12 sections, 12 theorems, 115 equations.

Key Result

Theorem 1.1

For all $n \ge c \ge 10$ we have where $E(t) = \int_0^1 \sqrt{\frac{1-t^2x^2}{1-x^2}}dx$ is the elliptic integral of the second kind and $\Phi$ is the inverse of the function $t\to \frac{t}{E(t)}$.

Theorems & Definitions (28)

  • Theorem 1.1: Bon
  • Remark 1.2
  • Theorem 1.3
  • Theorem 1.4: Kar
  • Theorem 1.5
  • Theorem 1.6
  • Theorem 1.7
  • Remark 1.8
  • Remark 1.9
  • Theorem 1.10
  • ...and 18 more