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Best Constants in Kahane-Khintchine Inequalities in Orlicz Spaces

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  • Peskir, G.

Abstract

Several inequalities of Kahane-Khintchine's type in certain Orlicz spaces are proved. For this, the classical symmetrization technique is used and four basically different methods have been presented. The first two are based on the well-known estimates for subnormal random variables, the third one is a consequence of a certain Gaussian-Jensen's majorization technique, and the fourth one is obtained by Haagerup-Young-Stechkin's best possible constants in the classical Khintchine inequalities. Moreover, by using the central limit theorem it is shown that this fourth approach gives the best possible numerical constant in the inequality under consideration: If {[epsilon]i i >= 1} is a Bernoulli sequence, and · [psi] denotes the Orlicz norm induced by the function [psi](x) = ex2 - 1 for x [set membership, variant] R, then the best possible numerical constant C satisfying the inequality [formula] for all a1, ..., an [set membership, variant] R and all n >= 1, is equal to [formula]. Similarly, the best possible estimates of that type are also deduced for some other inequalities in Orlicz spaces, discovered in this paper.

Suggested Citation

  • Peskir, G., 1993. "Best Constants in Kahane-Khintchine Inequalities in Orlicz Spaces," Journal of Multivariate Analysis, Elsevier, vol. 45(2), pages 183-216, May.
  • Handle: RePEc:eee:jmvana:v:45:y:1993:i:2:p:183-216
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    Cited by:

    1. El Machkouri, Mohamed, 2002. "Kahane-Khintchine inequalities and functional central limit theorem for stationary random fields," Stochastic Processes and their Applications, Elsevier, vol. 102(2), pages 285-299, December.

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