Episode 25a (9:10):
The Fundamental Theorem of Matrixology redux


Summary:

Our epic quest to understand $\mathbf{A}\vec{x} = \vec{b}$ ends with Singular Value Decomposition allowing us to finish writing the Big Picture story. Row space and Column space and Nullspace and Left Nullspace all have a natural, best basis derived from the eigenvectors of $\mathbf{A}^{\rm T}\mathbf{A}$ and $\mathbf{A}\mathbf{A}^{\rm T}$. While this will undoubtedly feel like an exhilarating conclusion, it's really just a beginning. The monks wave you on.

Best dined upon by 2016/12/05

Duration: 9:10

2016/12/05

9:10

Lecture:

Tweet:



Covers this slide set: