The fundamental difference between the Faraday tensor and the Faraday 2-form is
that the Faraday tensor innerhently has 4 ⨯ 4 = 16 components, of which only 6
are independent when taking into account the symmetries. The Faraday tensor is
written with 16 components in row-column representation as:
In contrast, the Faraday 2–form inherently has 6 independent components and
can be written as a column of 6 elements:
From the Faraday 2–form to the doubly covariant Faraday tensor#
We can decompose the exterior product into tensor products:
Difference between tensor basis and bivector basis#
It turns out that the row-column representation in the double covariant tensor
basis \(dx^μ ⊗ dx^ν\) and the 2–form basis \(dx^μ ∧ dx^ν\) is the
same. The 2–form basis is related to the double covariant tensor basis
through:
I am laying this here because it personally cost me a lot of confusion, since
I expected the same behavoir when lowering or raising the indices, which is not
the case because we are dealing with different basis.