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On the Probability That a Stationary Gaussian Process With Spectral Gap Remains Non-negative on a Long Interval

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Let $f$ be a zero mean continuous stationary Gaussian process on $\mathbb{R}$ whose spectral measure vanishes in a $\delta $-neighborhood of the origin. Then, the probability that $f$ stays non-negative… Click to show full abstract

Let $f$ be a zero mean continuous stationary Gaussian process on $\mathbb{R}$ whose spectral measure vanishes in a $\delta $-neighborhood of the origin. Then, the probability that $f$ stays non-negative on an interval of length $L$ is at most $e^{-c\delta ^2 L^2}$ with some absolute $c>0$ and the result is sharp without additional assumptions.

Keywords: probability stationary; stationary gaussian; gaussian process; non negative

Journal Title: International Mathematics Research Notices
Year Published: 2018

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