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Density estimates for a random noise propagating through a chain of differential equations

机译:通过一类微分方程传播的随机噪声的密度估计

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We here provide two sided bounds for the density of the solution of a system of n differential equations of dimension d, the first one being forced by a non-degenerate random noise and the n-1 other ones being degenerate. The system formed by the n equations satisfies a suitable H?rmander condition: the second equation feels the noise plugged into the first equation, the third equation feels the noise transmitted from the first to the second equation and so on ...-, so that the noise propagates one way through the system. When the coefficients of the system are Lipschitz continuous, we show that the density of the solution satisfies Gaussian bounds with non-diffusive time scales. The proof relies on the interpretation of the density of the solution as the value function of some optimal stochastic control problem.
机译:我们在这里为n个维数为d的微分方程组的解的密度提供了两个边界,第一个边界是由非退化随机噪声强迫而第n-1个是退化的。由n个方程组成的系统满足一个合适的H?rmander条件:第二个方程感觉到插入第一个方程的噪声,第三个方程感觉到从第一个方程传递到第二个方程的噪声,依此类推...-,所以噪声通过系统传播的一种方式。当系统的系数为Lipschitz连续时,我们证明了解决方案的密度满足非扩散时标的高斯边界。证明依赖于将解的密度解释为某些最优随机控制问题的值函数。

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