Abstract

We obtain estimates for the best constant in the Rosenthal inequality E | ∑ i = 1 n ξ i | 2 m ⩽ C ( 2 m ) max ( ∑ i = 1 n E ξ i 2 m , ( ∑ i = 1 n E ξ i 2 ) m ) for independent random variables ξ 1 , … , ξ n with l zero first odd moments, l ⩾ 1 . The estimates are sharp in the extremal cases l = 1 and l = m , that is, in the cases of random variables with zero mean and random variables with m zero first odd moments.

Highlights

  • The estimates are sharp in the extremal cases l=1 and l=m, that is, in the cases of random variables with zero mean and random variables with m zero first odd moments

  • It is interesting to note that, in the case l=0, the expression on the right-hand side of (2), with the inner sum taken over all natural m1>m2>...>mr and j1,...,jr satisfying the conditions m1j1+...+mrjr=2m, j1+...+jr =j, equals to the best constant the analogue of inequality (1) for nonnegative r.v.’s

  • Where the inner sum is taken over all natural m1>m2>...>mr and j1,..., jr, satisfying the conditions m1j1+...+mrjr=2m, j1+...+jr=j, m i ≠ 2s −1, i = 1,2,...,r , s = 1,2,...,l

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Summary

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OPTIMAL CONSTANTS IN THE ROSENTHAL INEQUALITY FOR RANDOM VARIABLES WITH ZERO ODD MOMENTS1. Marat Ibragimov Department of Probability Theory, Tashkent State Economics University

We obtain estimates for the best constant in the Rosenthal inequality
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Eξ k i
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