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Keywords:
Rosenblatt process; mixing; variation; consistent estimator; random attractor
Rosenblatt process; mixing; variation; consistent estimator; random attractor
Summary:
A new proof of the mixing property of the increments of Rosenblatt processes is given. The proof relies on infinite divisibility of the Rosenblatt law that allows to prove only the pointwise convergence of characteristic functions. Subsequently, the result is used to prove weak consistency of an estimator for the self-similarity parameter of a Rosenblatt process, and to prove the existence of a random attractor for a random dynamical system induced by a stochastic reaction-diffusion equation driven by additive Rosenblatt noise.
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