Suppose that $X$ and $Y$ are real-valued random variables and suppose that for all $a$ and $b$ in $R$, the events $\{X ≤ a\}$ and $\{Y ≤ b\}$ are independent. Prove that $X$ and $Y$ are independent.
I know by definition if $\sigma(X)$ and $\sigma(Y)$ are also independent then $X$ and $Y$ are independent. How this will help me to confirm that the events $\{X ≤ a\}$ and $\{Y ≤ b\}$ are independent?
Without knowing what definition is known about independence of $X$ and $Y$, it is difficult to answer the question.
If you are learning probability theory, these should all have answers/hints in your textbook.