Document Type
Article
Publication Date
9-19-2016
Abstract
It is shown that P(ǁa1U1+ · · · +anUnǁ > u) ≤ cP(aǁZdǁ> u) for all real u, where U1, : : : , Un are independent random vectors uniformly distributed on the unit sphere in Rd, a1, : : : , an are any real numbers, a := √(a21 + · · · · + a2n ) ∕ d, Zd is a standard normal random vector in Rd, and c = 2e3 ∕ 9 = 4.46 . . . .This constant factor is about 89 times as small as the one in a recent result by Nayar and Tkocz, who proved, by a different method, a corresponding conjecture by Oleszkiewicz. As an immediate application, a corresponding upper bound on the tail probabilities for the norm of the sum of arbitrary independent spherically invariant random vectors is given.
Publication Title
Electronic Communications in Probability
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Pinelis, I.
(2016).
On a multidimensional spherically invariant extension of the Rademacher-Gaussian comparison.
Electronic Communications in Probability,
21.
http://doi.org/10.1214/16-ECP23
Retrieved from: https://digitalcommons.mtu.edu/math-fp/4
Version
Publisher's PDF
Publisher's Statement
© 2016 Project Euclid. Deposited in compliance with publisher policies. Publisher's version of record: http://dx.doi.org/10.1214/16-ECP23