What kind of class is differential geometry?

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Discussion Overview

The discussion revolves around the nature and prerequisites of a Differential Geometry course, exploring its content, required mathematical background, and its applications in physics, particularly in relation to general relativity. Participants express their concerns about their preparedness for the course and the relevance of prior mathematical knowledge.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant shares their college's course description, highlighting the focus on geometric invariants of curves and surfaces, and expresses uncertainty about their readiness due to a gap in their calculus knowledge.
  • Another participant suggests that a solid understanding of linear algebra and various types of analysis (real, complex, vector) would be beneficial preparation for the course.
  • A question is raised about the feasibility of succeeding in the course without having taken all recommended analysis courses.
  • One participant emphasizes the importance of differentiation and integration, noting that the course involves analysis on curved surfaces and that familiarity with Euclidean cases aids understanding.
  • Clarification is sought regarding the term "Euclidean cases," with a focus on whether it pertains to differentiation and integration of curves in Euclidean space.
  • A participant explains that differential geometry extends beyond Euclidean spaces to include curved spaces, such as spheres, and discusses its historical context related to measuring distances on Earth.
  • There is a mention of black holes as examples where differential geometry is essential for understanding their geometry, prompting a discussion about the application of differential geometry in Einstein's theory of general relativity.
  • Another participant confirms that differential geometry is indeed the language of general relativity, indicating that knowledge of differential geometry is necessary to learn the theory.

Areas of Agreement / Disagreement

Participants express varying levels of confidence regarding their preparedness for the course, with some believing that analysis courses are not strictly necessary while others emphasize their importance. The discussion remains unresolved regarding the exact prerequisites and the extent to which prior knowledge will impact success in the course.

Contextual Notes

Participants mention specific mathematical concepts such as tangent spaces, differentiation, and integration, but there is no consensus on the exact prerequisites or the necessity of prior courses in analysis. The discussion reflects a range of experiences and expectations regarding the course content.

Eclair_de_XII
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This is my college's description for it:

Differential Geometry (3) Properties and fundamental geometric invariants of curves and surfaces in space; applications to the physical sciences. Pre: Calculus IV, and Introduction to Linear Algebra; or consent.

I was doing pretty well in all my Calculus classes, but I'm very certain that I would need to review a bit, since it's been over a year since I took Calculus IV. It's also implied that I need to know my Linear Algebra. I'm pretty good at solving systems of linear equations, but kind of had trouble with the orthonormalization and orthogonalization portion of the Linear Algebra class I took last summer.

So what kind of concepts would I need to review before going into this course? It talks about spaces and curves, so I assume I would need to review some Calculus III, as well? I'm a bit skeptical about taking this course over Intermediate Microeconomics, which I need for my VEE credit. On one hand, I might face a shortage of math classes that I can take within the constraints of my work schedule in the next year and a half. On the other, I kind of want to get Microeconomics out of the way so I don't have to worry about getting validation from that actuarial society anymore. It's a weak excuse, I know.

I'm also taking these two courses:

Introduction to Real Analysis (3) A rigorous axiomatic development of one variable calculus. Completeness, topology of the plane, limits, continuity, differentiation, integration. Pre: Calculus II, and Proof-writing.

Mathematical Modeling: Probabilistic Models (3) Probabilistic mathematical modeling emphasizing models and tools used in the biological sciences. Topics include stochastic and Poisson processes, Markov models, estimation, Monte Carlo simulation and Ising models and Ising models. A computer lab may be taken concurrently. Pre: Calculus II.

Anyway, I'm kind of rambling; what kind of course is Differential Geometry?
 
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Eclair_de_XII said:
Anyway, I'm kind of rambling; what kind of course is Differential Geometry?
This book here is a good introduction:
http://www.springer.com/gp/book/9780387903576

Have a look at the table of contents. It pretty much sums up any answer which could be given.
Linear algebra and all kinds of analysis (real, complex, vector) would be a good preparation.
 
fresh_42 said:
all kinds of analysis (real, complex, vector) would be a good preparation.

Question... Do you think it would still be doable if I didn't take any of those analysis courses?

I'm taking only one of them in the spring, and have not taken the other two yet.
 
I think differentiation and integration are most important. Of course you can always learn things in addition if you need them on a case by case basis. It always depends on how the course is held, whether applications and calculations or the more theoretical principles are emphasized. As a very short description it is about analysis on curved surfaces. Therefore tangent spaces (linear algebra) play a role as well as the analytic part (differentiation and integration), and the better you know the Euclidean cases, the easier you see the similarities. The point is, that those curved surfaces don't need to be embedded anywhere. They are all you have to do calculations on. In order to do that, the usual Euclidean cases serve as template and local approximation, and not as the global surrounding space anymore.
 
Well, if analysis courses aren't completely mandatory, then I suppose I can do decently in the course.

Also, when you say "Euclidean cases", do you refer to differentiation and integration of curves in Euclidean space? Such as parabolas and hyperbolas bounded by some line and such?
 
Eclair_de_XII said:
Well, if analysis courses aren't completely mandatory, then I suppose I can do decently in the course.

Also, when you say "Euclidean cases", do you refer to differentiation and integration of curves in Euclidean space? Such as parabolas and hyperbolas bounded by some line and such?
Yes, with Euclidean cases I mean everything which happens in ##\mathbb{R}^n## or ##\mathbb{C}^n##, i.e. functions defined there. In differential geometry we cancel this condition. The spaces are now e.g. spheres, groups or any other curved space. They don't need to be inside a Euclidean space anymore. Partly it began with measuring distances on earth. The planet isn't something in a three dimensional box, it is all we have. So the question came up, if analysis on such an object can be done. Can we differentiate curved function graphs which are themselves on a curved surface? Paths on a sphere, and not paths in an angular box. Differential geometry was the positive answer to these questions. It is a bit tricky, for you need to have some abstraction skills, as it leaves known territory, but calculation skills as well, as in the end it is about computations. Black holes are extreme examples for something differential geometry is needed for in order to understand their geometry. The many questions we get about them are often because people think of them as an especially heavy ball. But the entire space around them is curvy - no Euclidean geometry near.
 
fresh_42 said:
In differential geometry we cancel this condition. The spaces are now e.g. spheres, groups or any other curved space. They don't need to be inside a Euclidean space anymore.

So what you're saying is that differential geometry now considers functions on subspaces that are not subsets of Euclidean space? I can kind of see where the linear algebra comes in... I mean, I've covered material on subspaces and its eight main rules in the two linear algebra classes I've taken. So I'm a bit glad that I can apply what I learned before here.

But I am surprised that the upper division math classes I've taken so far don't make much use of the material I learned from the later parts of the Calculus series, namely that of III and IV. A little bit disappointed to be honest.

fresh_42 said:
Black holes are extreme examples for something differential geometry is needed for in order to understand their geometry.

I've also heard that Einstein formulated some theory about how matter produces distortions (gravity) in space-time. I ask out of curiosity: Would differential geometry also apply here?
 
Eclair_de_XII said:
I've also heard that Einstein formulated some theory about how matter produces distortions (gravity) in space-time. I ask out of curiosity: Would differential geometry also apply here?
Yes. Differential geometry is the language in which general relativity (and many other physics models) is naturally written. You cannot learn GR without knowing differential geometry or learning it in parallel.
 
Oh, I see. I was just wondering. Thanks for answering.
 

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