I’m back into visualizing eigens. According to Grant Sanderson, understanding linear algebra requires a foundation in linear transformations, linear systems, determinates, and change of basis. My situation when I took the course only confirms it. Certainly the concept of lowering a dimension was missing, not to mention the null space. Perhaps applications of eigens would give an even better picture.

I stumbled upon linear algebra with Grant Sanderson, something I could have used when I took the course. Just the concept of vectors I lacked until I took the fundamentals of physics, after I’d audited chemical engineering courses. 

I had a beginning session in linear algebra for a definition I never had. The idea that a matrix is actually a linear transform of a vector. Where did that originate? I intend to continue the pursuit.