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I guess that's the problem. I'm most interested in them as linear transformations, so I think it's not a bad idea to lead with that and then show how they do other things too.
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Very cool thread, as always. I look forward to seeing your version of this. I've called it: 19th century intellectual technology to allow for the seamless, organized execution of countless applications of the distributive law.
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Yep, that's a terrible "definition". A matrix is a representation of a linear transformation with respect to a choice of bases. Unfortunately, this generally doesn't make sense until one's gone through the grief of the " numerical" version :-(
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It's great for coord.xform but awful for generalization to multilinears (e.g. tensor). If only there were a graphic/pictorial interpretive picture for the whole family as good as the "basis transform" for matrices is!
But how can we define mathematical concepts by reference to some measure of utility, when we don't know what utility that concept may have until later !!! Better rigorous pure mathematical definition should be independent from whatever application concept may have
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