Advanced Linear Algebra 23: Frobenius and Operator Norm for Matrices

Recorded on Wednesday, March 16.

A second course in linear algebra covering vector spaces and matrix decompositions taught by Dr. Anthony Bosman.

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The lectures closely follow 'Advanced Linear and Matrix Algebra' by Johnston:

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[lucalagares]

Good explanation with visual for Frobenius trace, could not find it anywhere. You nailed it, thank you!

[godfreypigott]

At 37:00 you said that for a square matrix the product of the singular values is equal to the product of the eigenvalues. The fact that you seemed to be stating it as "obvious" by not justifying it seemed to suggest you were claiming that for a square matrix the singular values *ARE* the eigenvalues. This is generally not the case.