GATE 2021 CS – Question 45
Consider the two statements.
$S_1$: There exist random variables $X$ and $Y$ such that $\left(\mathbb{E}\left[(X-\mathbb{E}(X))(Y-\mathbb{E}(Y))\right]\right)^2 > \text{Var}[X]\text{Var}[Y]$
$S_2$: For all random variables $X$ and $Y$, $\text{Cov}[X,Y] = \mathbb{E}\left[|X-\mathbb{E}[X]|\,|Y-\mathbb{E}[Y]|\right]$
Which one of the following choices is correct?
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Show answer and explanation
Correct answer: (D) Both $S_1$ and $S_2$ are false.
Explanation
Cauchy-Schwarz gives Cov^2 <= Var[X]Var[Y], so S1 is false. Covariance can be negative but the expectation of absolute values is non-negative, so S2 is false.