https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab | BV1ys411472E
Linear? → 1. lines remain lines 2. origin remains fixed
<aside>
⏱️timestamp ← You only need to record where the two basis vectors (i-hat and j-hat) each land, and everything else will follow from that. (this is great. It helps me understand how to describe transformation numerically.)
</aside>

<aside>
Every time you see a matrix, you can interpret it as a certain transformation of space.
将矩阵看作空间的变换
</aside>
<aside>
The determinant of a transformation (理解它的意义,比计算本身重要得多)
矩形面积的变化 / 立方体体积的变化 / …

</aside>
<aside>
Duality
Dotting two vectors together is a way to translate one of them into the world of transformations. 两个向量点乘,就是将其中一个向量转化为线性变换。
$$ \begin{bmatrix}a & b \end{bmatrix} \longleftrightarrow \begin{bmatrix}a \\ b \end{bmatrix} $$
</aside>