Take the 2-minute tour ×
MathOverflow is a question and answer site for professional mathematicians. It's 100% free, no registration required.

In Terry Tao's notes on Concentration of measure, Exercise 7 indicates that the Chernoff bound can be generalized to sub-exponential random variables:


He then indicates that by weakening the tail hypothesis to $\operatorname{Pr}(|X|\geq t)\leq C\operatorname{exp}(-ct^p)$ with $0 < p \leq 1$, you can get a similar conclusion but with $\epsilon$ loss in the exponent of $n$. For my research, I am particularly interested in the case where $p=1/2$.

I have two main questions:

(1) Is there a reference that I can cite (and read) for the $0 < p \leq 1$ case?

(2) Is it known whether the $\epsilon$ loss is necessary?

share|improve this question
Related: mathoverflow.net/questions/118562 –  cardinal May 11 '13 at 22:32
add comment

Your Answer


By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.