8. Inverse Matrices
Inverse matrices, understood geometrically. Why do some matrices lack inverses? How does we compute inverse matrices? And what is this Invertible Matrix Theorem that everyone's talking about? This is the eighth in what will eventually be a sequence of supplementary videos for a linear algebra class that I teach based on my book ๐โ๐ ๐ท๐๐๐ ๐ด๐๐ก ๐๐ ๐ฟ๐๐๐๐๐ ๐ด๐๐๐๐๐๐. See my website https://bravernewmath.com for more information on my various books: ๐น๐ข๐๐ ๐น๐๐๐๐ก๐๐ ๐ถ๐๐๐๐ข๐๐ข๐ , ๐โ๐ ๐ท๐๐๐ ๐ด๐๐ก ๐๐ ๐ฟ๐๐๐๐๐ ๐ด๐๐๐๐๐๐, ๐๐๐๐๐๐๐๐ข๐๐ข๐ ๐๐๐๐ ๐ท๐๐๐๐๐๐ข๐๐ก, ๐ฟ๐๐๐๐โ๐๐ฃ๐ ๐๐ ๐ผ๐๐๐ข๐๐๐๐๐ก๐๐. The first three are available for sale as paperbacks at Amazon, and as pdfs at Lulu. (The Lobachevski book is available at Amazon and the American Mathematical Society) 0:00 Intro & Definition 2:51 Example: A Rotation Matrix and its Inverse 6:02 A Non-invertible Matrix 12:50 It's Hip to Be Square (Or Why Non-Square Matrices Lack Inverses) 20:23 Sneak Preview of the Kernel 22:38 Transition and Review 30:16 Introducing the Invertible Matrix Theorem (Baby Version) 43:56 Matrix Inversion Algorithm - Statement and Example 47:47 But Why Does It Work? 56:12 Last Thoughts
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