We say that a random variable $E (ω)$ is an e-value if
$E [E] ≤ 1,$
and we say that a random variable $P (ω)$ is a p-value if for any $\alpha \in [0, 1]$:
$P (ω : P (ω) ≤ \alpha) ≤ \alpha.$
Prove that $P = \min \{1, 1/E\}$ is a p-value. The range of the e-value E is non-negative.
My attempt:
I am trying to prove $P (ω : \min \{1, 1/E(w)\} ≤ \alpha) ≤ \alpha.$
I can write $P (ω : \min \{1, 1/E(w)\} ≤ \alpha) = 1 - P (ω : \min \{1, 1/E(w)\} > \alpha)$
$= 1-P(1>\alpha, 1/E(w) > \alpha)$
In the first case, $\alpha =1$, then any probability is $\leq 1$, so the statement holds. In the second case, $0 \leq \alpha <1$, we then have
$= 1-P(1>\alpha, 1/E(w) > \alpha)= 1-P( 1/E(w) > \alpha)$
Then I am stuck. I don't know how to use e-value condition.