Lévy inequality
An inequality for the distribution of the maximum of sums of independent random variables, centred around the corresponding medians. Let be independent random variables, let
and let
be the median (cf. Median (in statistics)) of the random variable
; then for any
one has the Lévy inequalities
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and
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Immediate consequences of these inequalities are the Lévy inequalities for symmetrically-distributed random variables :
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and
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The Lévy inequalities can be regarded as generalizations of the Kolmogorov inequality. The Lévy inequalities were obtained by P. Lévy [1] in the investigation of general problems on the convergence of distributions of sums of independent random variables to stable laws. There is also a generalization of them to martingales [2].
References
[1] | P. Lévy, "Théorie de l'addition des variables aléatoires" , Gauthier-Villars (1937) |
[2] | M. Loève, "Probability theory" , Princeton Univ. Press (1963) |
Lévy inequality. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=L%C3%A9vy_inequality&oldid=23374