BEST CONSTANTS IN ROSENTHAL-TYPE INEQUALITIES AND THE KRUGLOV OPERATOR

成果类型:
Article
署名作者:
Astashkin, S. V.; Sukochev, F. A.
署名单位:
Samara National Research University; University of New South Wales Sydney
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/10-AOP529
发表日期:
2010
页码:
1986-2008
关键词:
independent random-variables sums SEQUENCES moment NORMS
摘要:
Let X be a symmetric Banach function space on [0, 1] with the Kruglov property, and let f = {f(k)}(k=1)(n), n > 1 be an arbitrary sequence of independent random variables in X. This paper presents sharp estimates in the deterministic characterization of the quantities parallel to Sigma(n)(k=1) f(k)parallel to(X), parallel to(Sigma(n)(k=1)vertical bar f(k)vertical bar(p))(1/p)parallel to(X), 1 <= p < infinity, in terms of the sum of disjoint copies of individual terms of f. Our method is novel and based on the important recent advances in the study of the Kruglov property through an operator approach made earlier by the authors. In particular, we discover that the sharp constants in the characterization above are equivalent to the norm of the Kruglov operator in X.