Expectation of dot product of dependent sub-Gaussian and non-Gaussian random variable

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I need your expertise in solving the following problem:

Let $n \in \mathbb{N}$ such that $n > 1$, $\left\lbrace X_i \right\rbrace_{i=1}^n$ be a set of sub-Gaussian variables with mean $0$ and unit variance and $\left\lbrace Y_i \right\rbrace_{i=1}^n$ be a set of random variables where for each $i \in [n]$, $Y_i \in \left\lbrace-1,1 \right\rbrace$. ($Y_i$ is dependent on $X_i$ for each $i \in [n]$)

We want to have bounds on the expectation of the dot product of $X$'s and $Y'$s i.e. $$ E\big[ \sum\limits_{i=1}^n x_iy_i \big]$$

How can we establish bounds on this?

Please advise.