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Exact Asymptotics of Large Deviations of Stationary Ornstein—Uhlenbeck Processes for L~p-Functionals, p > 0

机译:平稳Ornstein-L〜p函数的Uhlenbeck过程的大偏差的精确渐近性,p> 0

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We prove a general result on the exact asymptotics of the probability P{∫ from 0 to 1 of |η_γ(t)|~p dt > u~p} as u → ∞, where p > 0, for a stationary Ornstein-Uhlenbeck process η_γ(t), i.e., a Gaussian Markov process with zero mean and with the covariance function Eη_γ(t)η_γ(s) = e~(-γ|t-s|), t, s ∈ R, γ > 0. We use the Laplace method for Gaussian measures in Banach spaces. Evaluation of constants is reduced to solving an extreme value problem for the rate function and studying the spectrum of a second-order differential operator of the Sturm-Liouville type. For p = 1 and p = 2, explicit formulas for the asymptotics are given.
机译:对于平稳的Ornstein-Uhlenbeck,我们证明了关于|η_γ(t)|〜p dt> u〜p}的概率P {∫从0到1的精确渐近性的一般结果,其中u>∞,其中p> 0过程η_γ(t),即具有零均值且协方差函数Eη_γ(t)η_γ(s)= e〜(-γ| ts |),t,s∈R,γ> 0的高斯马尔可夫过程。将Laplace方法用于Banach空间中的高斯测度。减少了对常数的评估,从而解决了速率函数的极值问题,并研究了Sturm-Liouville型二阶微分算子的谱。对于p = 1和p = 2,给出了渐近的明确公式。

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