Well I've got a bit problem with ESN so let me introduce my problem :
I have in my lesson the demonstration of this propriety without ESN :
If $(x_i)_{1 \le i \le n}$ is an orthogonal familly, then $$ \left|\left| \sum_{i=1}^{n} x_i \right|\right|^2 = \sum_{i=1}^{n} ||x_i||^2 $$
Now my problem is to note this two part of equality with ESN :/
$$ ||x^i||^2= ??? $$
And I also want to know how to note
$$ \sum_{i=1}^n\left(x_i \mid \sum_{j=1}^n x_j\right) $$
where $(.|.)$ is dot product :)
Shadock
Update:
Sorry if there was any confusion from my initial post. I've edited this to more fully explain my answer. If a vector $x$ can be written as $x = (x_1, \ldots, x_k)$ then in Einstein summation notation $x$ can be denoted as $x_i$ if it's covariant or $x^i$ if it's contravariant (I'm not assuming the Lorentz metric for this kind of vector). The norm of $x$ can then be written as $||x||^2 = x^ix_i$ where the summation is implied by the double index. To write it out fully, we have
$$ \underbrace{x^ix_i}_{Not \; components} \;\; =\;\; \sum_{j=1}^n \underbrace{x_j^2}_{components} \;\; =\;\; ||x||^2. $$
Unfortunately if you have multiple vectors $\textbf{x}^{(1)}, \ldots, \textbf{x}^{(m)}$ where I use the bold-face for emphasis, then I don't think there is a way to express the quantity
$$ \sum_{j=1}^m ||\textbf{x}^{(j)}||^2 $$
In terms of the Einstein summation convention. As Zhen Lin pointed out in the comments below, the notation convention is used to manipulate the components of a vector, not multiple vectors at one time.
@Zhen - thanks for your critique. I would've missed this otherwise.