Joint convergence in distribution of independent random variables

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Question:

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My approach:

Fix any $x$ and $y$ in the codomains of $X$ and $Y$ respectively.

$\mathbb{P}(X_n \leq x, Y_n \leq y) = \mathbb{P}(X_n \leq x)\mathbb{P}(Y_n \leq y) \rightarrow \mathbb{P}(X \leq x)\mathbb{P}(Y \leq y)$, by the fact that $\mathbb{P}(X_n \leq x) \rightarrow \mathbb{P}(X \leq x)$ and $\mathbb{P}(Y_n \leq y) \rightarrow \mathbb{P}(Y \leq y)$ and by the product rule of convergence of sequence of real numbers. Using the three necessary and sufficient conditions of a function being a CDF, $\mathbb{P}(X \leq x)\mathbb{P}(Y \leq y)$ is a CDF, which is same as that of the random vector $(X,Y)$ constructed taking $X$ and $Y$ as independent.

Is there anything I'm missing? The official solutions given are all much longer and involve Portmanteau Lemma.