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Friday, April 6, 2018

**Abstract:** The foundational idea behind the Heisenberg Uncertainty Principle is that it is not possible to localize both a function and its Fourier transform simultaneously. I will be discussing some applications of uncertainty in Fourier analysis and speaking about some generalizations which are useful, specifically in how uncertainty can be used in a proof of the Malgrange-Ehrenpreis theorem.