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On Beurling's uncertainty principle
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classification
math.CA
keywords
lambdamathbbbeurlingbiglbigrfunctiongaussiangeneralise
abstract
We generalise a result of Hedenmalm to show that if a function $f$ on $\mathbb{R}$ is such that $\int_{\mathbb{R}^2} \bigl|f(x) \, \hat f(y)\bigr| \,e^{\lambda \left|xy\right|} \,dx\,dy = O( (1-\lambda)^{-N} )$ as $\lambda \to 1-$, then $f$ is the product of a polynomial and a gaussian.
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