Differential geometry of surfaces in affine spaces

AI Thread Summary
The discussion centers on finding suitable books for understanding affine spaces and transformations, as well as the differential geometry of surfaces within those spaces, tailored for first or second-year undergraduate students. The individual is particularly interested in concepts like gradient and curvature at specific points, alongside performing constrained optimization in affine spaces. A recommendation provided is "Differential Geometry" by Heinrich W. Guggenheimer, noted for its unique writing style, which may align with the inquirer's needs. The conversation emphasizes the importance of foundational knowledge in constrained optimization within Euclidean and general vector spaces as a helpful background for tackling these topics.
madilyn
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I'm looking for a book or two that details affine spaces and transformations, then differential geometry of surfaces in affine spaces, starting at a level suitable for a year 1-2 undergraduate. In particular, I'd like to understand a few properties (e.g. what's the gradient and curvature at a point) and carry out a constrained optimization on these properties over affine space.

I'm familiar with constrained optimization in Euclidean space and to a lesser degree, on any general vector space, if that helps a little.

Could someone recommend me a book?

Thanks!
 
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The book is fascinating. If your education includes a typical math degree curriculum, with Lebesgue integration, functional analysis, etc, it teaches QFT with only a passing acquaintance of ordinary QM you would get at HS. However, I would read Lenny Susskind's book on QM first. Purchased a copy straight away, but it will not arrive until the end of December; however, Scribd has a PDF I am now studying. The first part introduces distribution theory (and other related concepts), which...

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