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Suppose I have two vectors $u, v \in \mathbb{R}^n$ where $\|u\|_2 = \|v\|_2 = 1$. I am trying to see if these two vectors are the "same" under the following definition.

Two vectors are the "same" if you can change the sign, or shuffle the entries to make them equivalent.

For example, $[1,2]$ is the "same" as $[-1,2],[1,-2],[-1,-2],[2,1],[-2,1],[2,-1],[-2,-1]$. This is not a norm-$1$ vector but I just thought this was an easy example.

Now suppose $u,v$ are norm-$1$ such that $$ \sum u_i^2 = \sum v_i^2 = 1 $$ and that their associated L$1$ norms are equal $$ \sum |u_i| = \sum |v_i|. $$

Does that mean that the two vectors must be the "same"?

In $\mathbb{R}^2$ this seems to be true just by plotting the vectors $[\sin\theta, \cos\theta]^T$, and could probably be proven pretty easily using triginometry identities. However I was wondering if anyone knew if this generalized to higher dimensions $n$. Thank you for the help!

wjmccann
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1 Answers1

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Yes, in $\mathbb{R}^2$ (as well as, trivially, in $\mathbb{R}$); no, in $\mathbb{R}^n$ for $n\geq 3$.

The "yes in $\mathbb{R}^2$" part is easily seen by, as you said, considering the vectors $\begin{bmatrix}\cos\theta\\\sin\theta\end{bmatrix}$.

A counterexample to the statement in general would be the two vectors in $\mathbb{R^3}$, $\begin{bmatrix}-1/3\\2/3\\2/3\end{bmatrix}$ and $\begin{bmatrix}1\\0\\0\end{bmatrix}$.

tromben
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