Consider the function $\lVert \cdot \rVert: \ell_2 \to [0,\infty]$ defined by $$\lVert x \rVert=\sup_{n\geq 1} n\lvert x_n\rvert$$ for every $x=\{x_n \}_{n=1}^{\infty}\in \ell_2$. Let $$X=\{ x\in \ell_2 \mid \lVert x\rVert <\infty \} $$ Show that $X$ with the said norm is a Banach space.
I have shown that the function defined is indeed a norm. I can think of two ways to prove a space is Banach: one is to get a Cauchy sequence and show that it is convergent, and two is to show that every absolutely convergent series is convergent. None of them has led me far, but I think the first one is more useful if I can relate the norm with the usual $\ell_2$ norm $\lVert \cdot \rVert_2$ in some way. Let's say if we had $c \lVert x \rVert<\lVert x \rVert_2 < C\lVert x \rVert$, then a Cauchy sequence in $X$ with the said norm yields a Cauchy sequence in $\ell_2$ by the right side of the inequality, and since $\ell_2$ is complete, the sequence will converge in $\ell_2$, but again using the left side of the equality we can say that it converges in X as well.
Let $(x^{(n)})$ be a Cauchy sequence in this space. Then $\sup_k k|x^{(n)}(k)-x^{(m)}(k)|\to 0$ as $n, m \to \infty$. In particular, $\sup_k |x^{(n)}(k)-x^{(m)}(k)|\to 0$ so $x_k=\lim x^{(n)}(k)$ exists for each $k$. If we choose $N$ such that $\sup_k k|x^{(n)}(k)-x^{(m)}(k)|<\epsilon$ for $n, m >N$ then $\sup_k k|x^{(n)}(k)-x_k|\le \epsilon$ for $n>N$ so $x^{(n)} \to x$ in the given norm.
The fact that $\sup_k k|x^{(n)}(k)-x_k|\le \epsilon$ for some $n$ implies that $x^{(n)} -x\in \ell^{2}$ and hence, $x \in \ell^{2}$.