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| | austinmorlan.com

It took me longer than necessary to understand how a rotation transform matrix rotates a vector through three-dimensional space. Not because it's a difficult concept but because it is often poorly explained in textbooks. Even the most explanatory book might derive the matrix for a rotation around one axis (e.g., x) but then present the other two matrices without showing their derivation. I'll explain my own understanding of their derivation in hopes that it will enlighten others that didn't catch on right away.
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| | liorsinai.github.io

Introduction to quaternions and rotations in 3D.
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| | liorsinai.github.io

[AI summary] This blog post explains the different methods for representing and performing rotations in 2D space, including polar coordinates, Cartesian matrices, and complex numbers, while also introducing the concept of quaternions for future 3D rotations.
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| | matheuscmss.wordpress.com

In 1966, M. Kac wrote a famous article asking whetherCan one hear the shape of drum?: mathematically speaking, one wants to reconstruct (up to isometries) a domain from the knowledge of the spectrum of its Laplacian. In his article, M. Kac showed that one can hear the shape of a disk $latex {\mathbb{D}(0,R)=\{z\in\mathbb{R}^2:|z|\leq R\}}&fg=000000$ because...
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