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The clever way curvature is described in math
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How do mathematicians describe curvature of surfaces? There are two measures: Gaussian and mean curvatures, and both are useful in differential geometry, the study of surfaces and higher-dimensional manifolds (or lower-dimensional curves).
I deliberately didn't say principal curvatures, which are the eigenvalues of the shape operator. The eigenvalues are guaranteed to be real, and the eigenvectors must also be orthogonal, because the shape operator is real and symmetric. However, getting to the point where we can prove the shape operator is real and symmetric is a bit tricky (can be proved rather easily with computations, but I'm not sure how to do it "intuitively"); and getting from real symmetric matrices to real eigenvalues and orthogonal eigenvectors is another thing that I still don't know how to think about intuitively.
Files for download:
Sources:
- Visual Differential Geometry and Forms by Tristan Needham
For this whole series, I have not consulted this book, but it should be a nice resource anyway for the geometric intuitions.
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If you are wondering how I made all these videos, even though it is stylistically similar to 3Blue1Brown, I don't use his animation engine Manim, but I use PowerPoint, GeoGebra, and (sometimes) Mathematica to produce the videos.
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