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Critical points of multidimensional random Fourier series: Central limits

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We investigate certain families X~, 0 < ~ 1, of Gaussian random smooth functions on the m-dimensional torus T~ := Rm/(~−1Z)m. We show that for any cube B ⊂ R… Click to show full abstract

We investigate certain families X~, 0 < ~ 1, of Gaussian random smooth functions on the m-dimensional torus T~ := Rm/(~−1Z)m. We show that for any cube B ⊂ R of size < 1/2 and centered at the origin, the number of critical points of X~ in the region ~−1B/(~−1Z)m ⊂ T~ has mean ∼ c1~, variance ∼ c2~, c1, c2 > 0, and satisfies a central limit theorem as ~↘ 0.

Keywords: random fourier; points multidimensional; critical points; series central; fourier series; multidimensional random

Journal Title: Bernoulli
Year Published: 2018

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