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Large and moderate deviations for the left random walk on GLd(R)
Author(s) -
Christophe Cuny,
Jérôme Dedecker,
Florence Merlevède
Publication year - 2017
Publication title -
latin american journal of probability and mathematical statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.667
H-Index - 18
ISSN - 1980-0436
DOI - 10.30757/alea.v14-26
Subject(s) - mathematics , martingale (probability theory) , large deviations theory , independent and identically distributed random variables , moment (physics) , exponential function , order (exchange) , random walk , standard deviation , random variable , statistical physics , mathematical analysis , statistics , physics , economics , finance , classical mechanics
Using martingale methods, we obtain some upper bounds for large and moderate deviations of products of independent and identically distributed elements of GL d (R). We investigate all the possible moment conditions, from super-exponential moments to weak moments of order p u003e 1, to get a complete picture of the situation. We also prove a moderate deviation principle under an appropriate tail condition.

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