Transition Matrix for Axes Rotation in 3D and 2D | Linear Algebra

preview_player
Показать описание
We go over how to transition between the standard set of orthonormal bases for R^2 and R^3 to a rotates set of orthonormal basis vectors for R^2 and R^3 by finding the appropriate transition matrix for the axes rotation. In this way we are able to re-express points (without moving them) relative to the rotated set of orthonormal basis vectors. We'll consider some trigonometry to construct the transition matrix and do some examples of using the resulting rotation equations to express a point in terms of rotated axes. #linearalgebra

Join Wrath of Math to get exclusive videos, lecture notes, and more:

0:00 Intro
0:32 Theorem on Orthogonal Transition Matrices
1:40 Rotation of Axes in 2-Space
7:04 Transition Matrix and Rotation Equations in R^2
8:22 Example of Axes Rotation in R^2
9:40 Rotation of Axes in 3-Space
10:43 Transition Matrix and Rotation Equations in R^3
11:11 Example of Axes Rotation in R^3
12:01 Orthogonality

◉Textbooks I Like◉

★DONATE★

Thanks to Loke Tan, Raül Beienheimer, Matt Venia, Micheline, Doug Walker, Odd Hultberg, Marc, Shlome Ashkenazi, Barbora Sharrock, Mohamad Nossier, Rolf Waefler, Shadow Master, and James Mead for their generous support on Patreon!

Outro music is mine. You cannot find it anywhere, for now.

Follow Wrath of Math on...

Рекомендации по теме
Комментарии
Автор

Support this course by joining Wrath of Math to access exclusive and early linear algebra videos, plus lecture notes at the premium tier!

WrathofMath
Автор

BTW: I really like the way you illustrated the change of reference system that keeps a visual picture of the invariance of the original vector regardless the coordinates system.

raulbeienheimer
Автор

So the Transition Matrix is a Linear Map, right?

raulbeienheimer