Symmetric & Nondegenerate Tensor: Showing g is Invertible

In summary: This has been very helpful. In summary, the homework statement is saying that the rank 2 tensor g is symmetric and nondegenerate. The student is trying to figure out how to show this, and has figured out that the matrix is symmetric but not non-degenerate. The inverse components are also needed to solve the problem.
  • #1
quasar_4
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Homework Statement



Let {e1, e2, e3} be a basis for vector space V. Show that the rank 2 tensor g defined by g=2E1*E2 + 2E2*E1+E1*E3+E3*E1 (where Ei are dual vectors and * is the tensor product) is symmetric and nondegenerate. Caculate g inverse.

Homework Equations



Um. lots of tensor stuff. I have the properties of a tensor, that's about it.

The Attempt at a Solution



I am wondering how I would show that it is non-degenerate. I know that if a bilinear form B is non-degenerate then: ker[Bv1]={x|B(x,y)=0 for all y} and ker[Bv2]={y|B(x,y)=0 for all x}.So we have to show that the kernels of the two vector spaces generating the bilinear form are 0 for all y and all x, respectively. But how on Earth is this done, especially when all I know is that we are taking two vectors from the vector space V for our tensor?

I don't get it! I CAN show that it is symmetric, I think, by evaluating g on the basis vectors one at a time with tensor properties (is that the right thing to do?) So to show symmetric I just took g(e1), g(e2), g(e3).

I haven't the foggiest how to find the inverse components.
 
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  • #2
It seems to me that your problem is equivalent to showing that the matrix

0 2 0
2 0 1
0 1 0

is symmetric, and does not have a zero eigenvalue.
 
  • #3
aha, I have figured it out. There was a typo in the problem, which I resolved with the instructor. THe problem was that it was symmetric, but not non-degenerate (the determinant is zero. This is a problem to show non-degeneracy!) Once the problem is fixed, I guess the answer is to write out the matrix for it, show symmetric, show invertibility (this should show us non-degeneracy?), get the inverse components from that.

Thanks!
 

FAQ: Symmetric & Nondegenerate Tensor: Showing g is Invertible

What is a symmetric tensor?

A symmetric tensor is a mathematical object that represents a multilinear mapping between vector spaces. It is called symmetric because it is invariant under interchange of its inputs. In other words, switching the order of the inputs does not affect the output.

What is a nondegenerate tensor?

A nondegenerate tensor is a tensor that is not equal to zero and cannot be factored into the product of two tensors. In other words, it is a tensor that cannot be reduced to a simpler form.

How do you show that g is invertible?

To show that g is invertible, we can use the definition of invertibility, which states that a matrix is invertible if and only if its determinant is non-zero. Therefore, to show that g is invertible, we need to show that its determinant is non-zero.

Why is it important to show that g is invertible?

Showing that g is invertible is important because it tells us that the tensor g has an inverse, which means it can be "undone". This is useful in many mathematical applications, including solving systems of equations and finding the inverse of matrices.

What are some real-world applications of symmetric and nondegenerate tensors?

Symmetric and nondegenerate tensors have many applications in physics, engineering, and computer science. For example, they have been used to model stress and strain in materials, analyze the behavior of fluids, and develop efficient algorithms for data compression and machine learning. They are also commonly used in the study of general relativity.

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