LARGE DEVIATION PRINCIPLE FOR RANDOM MATRIX PRODUCTS

成果类型:
Article
署名作者:
Sert, Cagri
署名单位:
Swiss Federal Institutes of Technology Domain; ETH Zurich
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/18-AOP1285
发表日期:
2019
页码:
1335-1377
关键词:
SUBGROUPS spectrum
摘要:
Under a Zariski density assumption, we extend the classical theorem of Cramer on large deviations of sums of i.i.d. real random variables to random matrix products.