THE NORM OF SUMS OF INDEPENDENT NONCOMMUTATIVE RANDOM VARIABLES IN Lp(l1)
نویسنده
چکیده
We investigate the norm of sums of independent vector-valued random variables in noncommutative Lp spaces. This allows us to obtain a uniform family of complete embeddings of the Schatten class S q in Sp(lmq ) with optimal order m ∼ n. Using these embeddings we show the surprising fact that the sharp type (cotype) index in the sense of operator spaces for Lp[0, 1] is min(p, p) (max(p, p)). Similar techniques are used to show that the operator space notions of B-convexity and K-convexity are equivalent. Introduction Sums of independent random variables have a long tradition both in probability theory and Banach space geometry. More recently, the noncommutative analogs of these probabilistic results have been developed [9, 11, 25] and applied to operator space theory [8, 10, 24]. In this paper, we follow this line of research in studying type and cotype in the sense of operator spaces [19]. This theory is closely connected to the notions of B-convexity and K-convexity. Using embedding results we show that these notions remain equivalent in the category of operator spaces. We recall from [16] that a Banach space X is called K-convex whenever the Gauss projection PG : f ∈ L2(Ω;X) 7−→ ∞ ∑
منابع مشابه
A Transference Method in Quantum Probability
The notion of independent random variables is central in probability theory and has many applications in analysis. Independence is also a fundamental concept in quantum probability, where it can occur in many different forms. In terms of norm estimates for sums of independent variables, free probability often plays the role of the best of all worlds. This is particularly true for applications i...
متن کاملNoncommutative Burkholder/Rosenthal inequalities II: applications
We show norm estimates for the sum of independent random variables in noncommutative Lp-spaces for 1 < p <∞ following our previous work. These estimates generalize the classical Rosenthal inequality in the commutative case. Among applications, we derive an equivalence for the p-norm of the singular values of a random matrix with independent entries, and characterize those symmetric subspaces an...
متن کاملTwo-sided bounds for Lp-norms of combinations of products of independent random variables
We show that for every positive p, the Lp-norm of linear combinations (with scalar or vector coefficients) of products of i.i.d. nonnegative random variables with the pnorm one is comparable to the lp-norm of the coefficients and the constants are explicit. As a result the same holds for linear combinations of Riesz products. We also establish the upper and lower bounds of the Lp-moments of par...
متن کاملAsymptotic Behavior of Weighted Sums of Weakly Negative Dependent Random Variables
Let be a sequence of weakly negative dependent (denoted by, WND) random variables with common distribution function F and let be other sequence of positive random variables independent of and for some and for all . In this paper, we study the asymptotic behavior of the tail probabilities of the maximum, weighted sums, randomly weighted sums and randomly indexed weighted sums of heavy...
متن کاملRosenthal Inequalities in Noncommutative Symmetric Spaces
We give a direct proof of the ‘upper’ Khintchine inequality for a noncommutative symmetric (quasi-)Banach function space with nontrivial upper Boyd index. This settles an open question of C. Le Merdy and the fourth named author [24]. We apply this result to derive a version of Rosenthal’s theorem for sums of independent random variables in a noncommutative symmetric space. As a result we obtain...
متن کامل