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Questions about the properties of vector spaces and linear transformations, including linear systems in general.

0 votes

Thorough Introduction to Singular Value Decomposition

I gave a summary of the section on SVD found in Linear Algebra Done right here: Singular value decomposition over finite fields?. I highly recommend the book.
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A random walk matrix has eigenvalue 1 with multiplicty 1 - why?

Markov Chain theory shows that such a walk has a unique stationary distribution, yielding the answer to your question/
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3 votes

Ways to Synthesize Topics in Linear Algebra

Personally, I found myself in the same situation as you when I was studying linear algebra, and I never ended up understanding it very thoroughly at first because I could not find motivation to study …
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