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Abstract

Let E be a Polish space and π(x,•) a transition probability function on E. Set Ω = Eη and let {Px: x ∈ E} be the Markov family on Ω with transition function π (i.e. Px (X(0) = x) = 1 and Px is a Markov process with transition function π). For n ≥ 1 and ω ∈ Ω, define

$$ {L_n}(\Gamma, \omega ) = \frac{1}{n}\sum\limits_0^{{n - 1}} {{X_{\Gamma }}(X(k,\omega ))\quad, \quad \Gamma \in {B_E}} $$

, and

$$ L_n^l(\Gamma, \omega ) = L_n^l(\Gamma, {\theta_1}\omega ) = \frac{1}{n}\quad \sum\limits_1^n {{X_{\Gamma }}(X(k,\omega ))} $$

10. Finally, define Qn,x and Qn,x on m1(m1E)) to be the distribution of Ln and L 1n , respectively, under Px.

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© 1984 Springer-Verlag New York Inc.

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Stroock, D.W. (1984). Existence of a Rate Function. In: An Introduction to the Theory of Large Deviations. Universitext. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8514-1_7

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  • DOI: https://doi.org/10.1007/978-1-4613-8514-1_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96021-0

  • Online ISBN: 978-1-4613-8514-1

  • eBook Packages: Springer Book Archive

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