Differential Geometry Question

In summary, the conversation discusses the computation of the Gauss map at a given point and the eigenvalues of the derivative of the map in a given basis. The Gauss map is defined as the cross product of the tangent vectors, and the question is asking for the visualization of the map as a matrix operator. However, it is not possible to represent the map N:R2->R3 as a matrix.
  • #1
Sistine
21
0

Homework Statement


Consider the following parametrization of a Torus:

[tex]\sigma(u,v)=((R+r\cos u)\cos v, (R+r\cos u)\sin v, r\sin u)[/tex]

[tex] R>r,\quad (u,v)\in [0,2\pi)^2[/tex]

1. Compute the Gauss map at a given point.


2. What are the eigenvalues of that map in the base [tex](\partial_1\sigma,\partial_2\sigma)[/tex]?

Homework Equations



[tex]\partial_1\sigma=\frac{\partial\sigma}{\partial u}[/tex]

[tex]\partial_2\sigma=\frac{\partial\sigma}{\partial v}[/tex]

The Gauss map is defined as:

[tex]N(u,v)=\frac{\partial_1\sigma\times\partial_2\sigma}{|\partial_1\sigma\times\partial_2\sigma|}[/tex]


The Attempt at a Solution


Computing the Gauss map at a point [tex]p[/tex] is straightforward enough. But I'm not sure what part 2 of the question is asking me to do. How can I visualize the map as a matrix operator in a certain basis so that I can compute its eigenvalues?
 
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  • #2
They have to mean the eigenvalues of the derivative of the Gauss map, dN, the mapping between the tangent spaces of the plane and the torus.
 
  • #3
Perhaps your right. The image of the Gauss map at a point is perpendicular to the tangent space at that point , so that no linear combination of [tex]\partial_1\sigma[/tex], [tex]\partial_2\sigma[/tex] could ever represent N at that point. However is it possible to represent the map N:R2->R3 as a matrix? I'll try to find out if there is an error in the question.
 

Related to Differential Geometry Question

1. What is Differential Geometry?

Differential Geometry is a branch of mathematics that studies the properties and structures of curved spaces using tools from calculus and linear algebra. It deals with objects such as curves, surfaces, and higher-dimensional manifolds, and their geometric properties.

2. What are some applications of Differential Geometry?

Differential Geometry has many applications in physics, engineering, and computer graphics. It is used to study the shape of the universe, model the movement of objects in space, and analyze the properties of curved surfaces in engineering designs. It is also used in computer graphics to create realistic 3D models and animations.

3. How is Differential Geometry related to other fields of mathematics?

Differential Geometry has connections with various other branches of mathematics, such as topology, algebraic geometry, and differential equations. It also has applications in fields like physics, where it is closely related to concepts in general relativity and theoretical physics.

4. What are some famous theorems in Differential Geometry?

Some of the most well-known theorems in Differential Geometry include the Gauss-Bonnet theorem, which relates the curvature of a surface to its topology, and the Nash embedding theorem, which states that any Riemannian manifold can be isometrically embedded into a higher-dimensional Euclidean space.

5. What are some open problems in Differential Geometry?

There are many open problems in Differential Geometry, including the Poincaré conjecture, which was famously solved by Grigori Perelman in 2003, and the existence of closed geodesics on compact surfaces, which is still an unsolved problem. Other open problems include the classification of exotic spheres and the study of minimal surfaces.

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