Using martingale techniques we will prove several deviation inequalities for diffusion processes in a compact Riemannian manifold and Le vy processes in euclidean space. We also deduce deviation inequalities from Poincare type inequalities in the abstract setting of Dirichlet forms. We thus obtain,
A martingale inequality and large deviations
✍ Scribed by Yulin Li
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 103 KB
- Volume
- 62
- Category
- Article
- ISSN
- 0167-7152
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✦ Synopsis
Let (X i ) be a martingale di erence sequence and let S n = n i=1 X i . Suppose (X i ) is bounded in L p . In the case p ¿ 2, Lesigne and Volnà y (Stochastic Process. Appl. 96 (2001) 143) obtained the estimation (S n ¿ n) 6 cn -p=2 , which is optimal in a certain sense. In this article, we show that (S n ¿ n) 6 cn 1-p when p ∈ (1; 2]. This is optimal for an i.i.d. sequence, as shown in Lesigne and Volnà y (Stochastic Process. Appl. 96 (2001) 143). For this purpose, we establish some inequalities for (X i ), which may be of interest on their own right.
📜 SIMILAR VOLUMES
Gaussian White Noise, super-Brownian motion and the diffusion-limit Fleming-Viot process are examples of such infinite-dimensional Markov processes with continuous paths and L 2 -martingale measures we study in this work as regards to their sample path large deviation probabilities and their associa