Carnegie Mellon University
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Lyapunov exponents of linear stochastic functional differential equations driven by semimartingales.

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journal contribution
posted on 1990-01-01, 00:00 authored by Salah-Eldin A. Mohammed, Michael K. R. Scheutzow
Abstract: "We consider a class of stochastic linear functional differential systems driven by semimartingales with stationary ergodic increments. We allow smooth convolution-type dependence of the noise terms on the history of the state. Using a stochastic variational technique we construct a compactifying stochastic semiflow on the state space. A multiplicative Ruelle-Oseledec ergodic theorem then gives the existence of a discrete Lyapunov spectrum and a saddle-point property in the hyperbolic case."


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