The Quantitative Isoperimetric Inequality for the Hilbert–Schmidt Norm of Localization Operators
Poincaré inequality
DOI:
10.1007/s00041-025-10145-y
Publication Date:
2025-02-04T21:15:51Z
AUTHORS (2)
ABSTRACT
Abstract
In this paper we study the Hilbert–Schmidt norm of time-frequency localization operators
$$L_{\Omega } :L^2(\mathbb {R}^d) \rightarrow L^2(\mathbb {R}^d)$$
L
Ω
:
L
2
(
R
d
)
→
L
2
(
R
d
)
, with Gaussian window, associated with a subset
$$\Omega \subset \mathbb {R}^{2d}$$
Ω
⊂
R
2
d
of finite measure. We prove, in particular, that the Hilbert–Schmidt norm of
$$L_\Omega $$
L
Ω
is maximized, among all subsets
$$\Omega $$
Ω
of a given finite measure, when
$$\Omega $$
Ω
is a ball and that there are no other extremizers. Actually, the main result is a quantitative version of this estimate, with sharp exponent. A similar problem is addressed for wavelet localization operators, where rearrangements are understood in the hyperbolic setting.
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