Small Deviations of Sums of Independent Random Variables
Abstract
A well-known discovery of Feige's is the following: Let X1, …, Xn be nonnegative independent random variables, with E[Xi] ≤ 1 \;∀ i, and let X = Σi=1n Xi. Then for any n, \[[X < E[X] + 1] ≥ α > 0,\] for some α ≥ 1/13. This bound was later improved to 1/8 by He, Zhang, and Zhang. By a finer consideration of the first four moments, we further improve the bound to approximately .14. The conjectured true bound is 1/e .368, so there is still (possibly) quite a gap left to fill.
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