Solving for $F(v,f)$ in Tensor $F$

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In summary, the problem is finding the value of the tensor $e^1\otimes e_2 +e^2\otimes(e_1+3e_3)$, with given values for $v$ and $f$. The question is whether $e^1\otimes e_2$ is equal to 0 in this problem, to which the answer is no. It corresponds to a non-zero matrix and can be computed using the formula $e^i \otimes e_j (v,u^{\ast}) = u^TE_{ij}v $.
  • #1
smile1
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Hello everyone

Here is the problem:

Find the value $F(v,f)$ of the tensor $F=e^1\otimes e_2 +e^2\otimes(e_1+3e_3)\in T^1_1(V)$ where $v=e_1+5e_2+4e_3, f=e^1+e^2+e^3$

Does $e^1\otimes e_2=0$ in this problem?Thanks
 
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  • #2
I wouldn't think so, it seems to me that $e^1 \otimes e_2$ corresponds to the matrix:

$E_{12} = \begin{bmatrix}0&1&0\\0&0&0\\0&0&0 \end{bmatrix}$

which is not the 0-matrix.

That is, that:

$e^i \otimes e_j (v,u^{\ast}) = u^TE_{ij}v $, a scalar in the underlying field.
 
  • #3
Deveno said:
I wouldn't think so, it seems to me that $e^1 \otimes e_2$ corresponds to the matrix:

$E_{12} = \begin{bmatrix}0&1&0\\0&0&0\\0&0&0 \end{bmatrix}$

which is not the 0-matrix.

That is, that:

$e^i \otimes e_j (v,u^{\ast}) = u^TE_{ij}v $, a scalar in the underlying field.

Got it, thanks a lot:)
 

FAQ: Solving for $F(v,f)$ in Tensor $F$

What is $F(v,f)$ in Tensor $F$?

$F(v,f)$ is a mathematical representation of a tensor, which is a multidimensional array of numbers. It is used to describe the relationship between two sets of vectors, $v$ and $f$.

How do I solve for $F(v,f)$ in Tensor $F$?

To solve for $F(v,f)$ in Tensor $F$, you will need to use mathematical operations such as addition, subtraction, multiplication, and division. You may also need to use techniques such as matrix inversion and eigenvalue decomposition. It is important to have a strong understanding of linear algebra to successfully solve for $F(v,f)$.

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What are some challenges in solving for $F(v,f)$ in Tensor $F$?

Solving for $F(v,f)$ in Tensor $F$ can be challenging because it involves working with multidimensional arrays and performing complex mathematical operations. It also requires a strong understanding of linear algebra and can be time-consuming for large data sets. Additionally, interpreting the results of $F(v,f)$ can be difficult and may require further analysis.

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