Limit theorems for Markov chains by the symmetrization method
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文摘
Let P be a Markov operator with invariant probability m  , ergodic on L2(S,m), and let (Wn)n≥0 be the Markov chain with state space S and transition probability P   on the space of trajectories 2333bc3e13e8de6f68ab2fb4d3fe" title="Click to view the MathML source">(Ω,Pm), with initial distribution m  . Following Wu and Olla we define the symmetrized operator Ps=(P+P)/2, and analyze the linear manifold View the MathML source. We obtain for real f∈H−1 an explicit forward–backward martingale decomposition with a coboundary remainder. For such f   we also obtain some maximal inequalities for View the MathML source, related to the law of iterated logarithm. We prove an almost sure central limit theorem for f∈H−1 when P   is normal in L2(S,m), or when P satisfies the sector condition. We characterize the sector condition by the numerical range of P   on the complex L2(S,m) being in a sector with vertex at 1. We then show that if P   has a real normal dilation which satisfies the sector condition, then View the MathML source. We use our approach to prove that P   is L2-uniformly ergodic if and only if it satisfies (the discrete) Poincaré's inequality.

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