Two-form

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A two-form is a bilinear form

\mathbf{f} : V \times V \rightarrow \mathbb{R}

which maps any pair of vectors belonging to a vector space to a scalar, in such a way that the mapping is invariant with respect to coordinate transformations of the vector space, and such that interchanging the vectors inverts the sign of the scalar. A two-form can be pictured as an oriented surface defined by the two vectors. A two-form is an antisymmetric tensor of type \begin{pmatrix} 0 \\ 2 \end{pmatrix}.

The above definition may be modified by currying, so that a two-form can also be a linear function \mathbf{f} : V \rightarrow V \rightarrow \mathbb{R} or \mathbf{f} : V \rightarrow \tilde{V} which maps any vector of a vector space V to a one-form of the dual space \tilde{V}. Then, when such two-form is supplied with a pair of vector arguments, it takes in the first vector and returns a one-form, which then takes in the second vector and returns a real number, so the net result remains that a two-form reduces a pair of vector arguments into a scalar.

A two-form can also be described as a linear function

\mathbf{f} : V \otimes V \rightarrow \mathbb{R}

which maps a two-vector to a scalar.

A pair of one-forms can be combined by means of the tensor product, whose symbol is \otimes, in order to yield a two-form. A tensor \tilde{f} \otimes \tilde{g} is defined as meaning that it is applied to a pair of vectors \vec u and \vec v by the following rule ("mixed product property"):

(\tilde{f} \otimes \tilde{g}) \, \vec u \ \vec v = (\tilde{f} \otimes \tilde{g}) (\vec u \otimes \vec v) = \tilde{f} (\vec u) \ \tilde{g} (\vec v),

the right side of which rule is a product of two scalars, each of which scalars is the result of applying a one-form to a vector. Such product is generally not commutative.

The components of the tensor product \tilde{f} \otimes \tilde{g} are

(\tilde{f} \otimes \tilde{g})_{\alpha \beta} = (\tilde{f} \otimes \tilde{g}) (\vec e_\alpha \otimes \vec e_\beta) = \tilde{f} (\vec e_\alpha) \ \tilde{g} (\vec e_\beta) = f_\alpha \ g_\beta,

that is,

(\tilde{f} \otimes \tilde{g})_{\alpha \beta} = f_\alpha  \ g_\beta

which, considering the two-form as a matrix, corresponds to the Kronecker product of a row vector and a column vector to produce a matrix.

Any two-form can be expressed as a linear combination of outer products of basis one-forms, with the scalar coefficients being the components of the two-form:

\mathbf{f} = f_{\alpha \beta} \ \tilde{\omega}^\alpha \wedge \tilde{\omega}^\beta = f_{\alpha \beta} \ \tilde{\omega}^{\alpha \beta}

where the \tilde{\omega}^{\alpha \beta} are the basis two-forms.

The components fα β of a two-form can be thought of as being arrayed in a square matrix. If

fαβ = fβα

is true for all components of a two-form, then the two-form is said to be symmetric. If, on the other hand,

fαβ = − fβα

is true for all components of a two-form, then the two-form is said to be anti-symmetric or skew-symmetric.

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