What is the significance of the basis vector e_{11} in a bivector?

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SUMMARY

The basis vector e_{11} in the context of bivectors is defined as a matrix representation, specifically e_{11} = \begin{bmatrix} 1 & 0 & 0\\ 0 & 0 & 0\\ 0 & 0 & 0\\ \end{bmatrix}. In bivector notation, the basis is represented as ##\mathbf{e}_i\wedge \mathbf{e}_j## for all i ≠ j, indicating that e_{11} does not exist since e1 wedged with itself equals zero. This discussion clarifies the confusion around the notation used in various resources, including Wikipedia.

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Jhenrique
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What is the basis of a bivector?

For example (see the attachment and http://en.wikipedia.org/wiki/Bivector#Axial_vectors first):
e_{11}=\begin{bmatrix} 1 & 0 & 0\\ 0 & 0 & 0\\ 0 & 0 & 0\\ \end{bmatrix}
or
e_{11}=\begin{bmatrix} 1\\ 0\\ 0\\ \end{bmatrix}
or ##e_{11}## is equal to what?

Thanks!
 

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Hi Jhenrique! :smile:
Jhenrique said:
What is the basis of a bivector?

The basis is ##\mathbf{e}_i\wedge \mathbf{e}_j##, for all i ≠ j :wink:

(wikipedia writes that as ##e_{ij}##, which i find confusing :redface:)

For example, the electromagnetic 4-vector (E;B) is:​

##E_x\mathbf{i}\wedge\mathbf{t}+E_y\mathbf{j}\wedge\mathbf{t}+ E_z\mathbf{k}\wedge\mathbf{t} +## ##B_x\mathbf{j}\wedge\mathbf{k}+ B_y\mathbf{k}\wedge\mathbf{i}+ B_z\mathbf{i}\wedge\mathbf{j}##
 
I asked what is e11 in terms of matrix...
 
e11 doesn't exist :confused:

e1 ##\wedge## e1 = 0​
 

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