Shape Operators and Eigenvalues

In summary, the conversation discusses a problem on Mathematica regarding a cylinder with a shape operator matrix and the resulting eigenvalues and eigenvectors. The question also touches on the intersection of differential geometry and linear algebra, specifically the orthonormal basis for the eigenspace.
  • #1
chaotixmonjuish
287
0
This is probably falls within a problem of Mathematica as opposed to a question on here but I have a question about the following:

Given some cylinder with the shape operator matrix:

{{0,0},{0,-1/r}}

We get eigenvalues 0 and -1/r and thus eigenvectors {0, -1/r} and {1/r, 0} by my computations.

However we know that the principal directions are {{1},{0}} and {{0},{1}} <= (Computations on Mathematica)

This question, I guess, is an intersection of differential geometry and Linear Algebra.
 
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  • #2
(1,0) and (0,1) are also eigenvectors of that matrix, in fact they are the orthonormal basis for the eigenspace. They are obtained by normalizing the eigenvectors you chose.
 

Related to Shape Operators and Eigenvalues

1. What are shape operators and eigenvalues?

Shape operators are mathematical tools used to describe the geometric properties of a surface at a specific point. Eigenvalues, on the other hand, are a set of numbers that represent the stretching or compression of a surface in different directions.

2. How are shape operators and eigenvalues related?

Shape operators and eigenvalues are closely related as the eigenvalues of a shape operator represent the curvature of the surface in different directions. A shape operator can be used to calculate the eigenvalues and vice versa.

3. Why are shape operators and eigenvalues important in mathematics?

Shape operators and eigenvalues are important in mathematics because they help us understand the shape and curvature of surfaces. They are also essential in fields such as differential geometry, which studies the properties of curved surfaces and their relation to other mathematical concepts.

4. How are shape operators and eigenvalues used in real-world applications?

Shape operators and eigenvalues have various applications in real-world scenarios, such as computer graphics and computer-aided design (CAD). They are also used in fields like physics and engineering to analyze the behavior of surfaces under different forces and stresses.

5. Are there any limitations to using shape operators and eigenvalues?

While shape operators and eigenvalues are powerful tools, they do have limitations. They can only be applied to smooth surfaces and may not accurately describe highly irregular or discontinuous surfaces. Additionally, the calculations can become complex and time-consuming for more complex surfaces.

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