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How can we convert the dot product of 3 vectors to a matrix form?

In particular, We have $\sum_{i=1}^m (\langle \vec{w},\vec{x_i}\rangle -y_i)\vec{x_i} = 0$, how and why can we convert it to the following matrix form?

$Aw = b$ where $A = (\sum_{i=1}^m x_i x_i^T)$ and $b = \sum_{i=1}^{m} y_i \vec{x_i}$

Detailed derivation will be welcome! Thank you!

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    $\begingroup$ An attempted derivation on your part will also be welcome. $\endgroup$
    – John Douma
    Oct 19 '19 at 9:12
  • $\begingroup$ Thanks, I have got the correct answer by my effort. $\endgroup$
    – Ben
    Oct 15 '20 at 1:15
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First, $\sum_{i=1}^m \langle \vec{w},\vec{x_i}\rangle \vec{x_i}$ can be referred to the following form:

$(\vec{x_1}, \vec{x_2},\dots, \vec{x_m})$$\left[\begin{array}{c} \langle \vec{w},\vec{x_1}\rangle \\ \langle \vec{w},\vec{x_2}\rangle \\ \dots \\ \langle \vec{w},\vec{x_m}\rangle \\\end{array}\right] $

Then $\left[\begin{array}{c} \langle \vec{w},\vec{x_1}\rangle \\ \langle \vec{w},\vec{x_2}\rangle \\ \dots \\ \langle \vec{w},\vec{x_m}\rangle \\\end{array}\right] $ can be reformulated as

$\left[\begin{array}{c} \vec{x_1^T} \\ \vec{x_2^T} \\ \dots \\ \vec{x_m^T} \\\end{array}\right] $$w$

Then we can get

$(\sum_{i=1}^m x_i x_i^T) w$

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