168 Forms

An alternating mapping on a vector space that is used to produce a scalar from ordered lists of vectors.

Forms are functions that take vectors as input and return scalars. A 1-form takes a single vector as input, a 2-form takes two vectors as input, and so on.

definition (1-form = linear functional = covector = covariant vector) A linear, real-valued function of a single vector input, \(\boldsymbol{\omega}: \mathbf{V} \rightarrow \mathbb{R}\), which satisfies the following conditions for all vectors and scalars:

  • (Additivity) \(\boldsymbol{\omega}(\mathbf{u} + \mathbf{v}) = \boldsymbol{\omega}(\mathbf{u}) + \boldsymbol{\omega}(\mathbf{v})\).
  • (Homogeneity) \(\boldsymbol{\omega}(k\mathbf{v}) = k \cdot \boldsymbol{\omega}(\mathbf{v})\).

where

  • \(\mathbf{V}\) is a real vector space.
  • \(\mathbb{R}\) is the set of real numbers.
  • \(\boldsymbol{\omega}\) is a 1-form.
  • \(\mathbf{u}, \mathbf{v}\) are vectors in \(\mathbf{V}\).
  • \(k\) is a scalar.

definition (2-form) A bilinear, antisymmetric, real-valued function of two vector inputs, \(\boldsymbol{\omega}: \mathbf{V} \times \mathbf{V} \rightarrow \mathbb{R}\), which satisfies the following conditions for all vectors and scalars:

  • (Bilinearity) \(\boldsymbol{\omega}(a\mathbf{u} + b\mathbf{u}', \mathbf{v}) = a \cdot \boldsymbol{\omega}(\mathbf{u}, \mathbf{v}) + b \cdot \boldsymbol{\omega}(\mathbf{u}', \mathbf{v})\) and \(\boldsymbol{\omega}(\mathbf{u}, a\mathbf{v} + b\mathbf{v}') = a \cdot \boldsymbol{\omega}(\mathbf{u}, \mathbf{v}) + b \cdot \boldsymbol{\omega}(\mathbf{u}, \mathbf{v}')\).
  • (Antisymmetry) \(\boldsymbol{\omega}(\mathbf{u}, \mathbf{v}) = -\boldsymbol{\omega}(\mathbf{v}, \mathbf{u})\).

where

  • \(\mathbf{V}\) is a real vector space.
  • \(\mathbb{R}\) is the set of real numbers.
  • \(\boldsymbol{\omega}\) is a 2-form.
  • \(\mathbf{u}, \mathbf{u}', \mathbf{v}, \mathbf{v}'\) are vectors in \(\mathbf{V}\).
  • \(a, b\) are scalars.

definition (k-form) A multilinear, completely antisymmetric, real-valued function of \(k\) vector inputs, \(\boldsymbol{\omega}: \mathbf{V}^k \rightarrow \mathbb{R}\), which satisfies the following conditions for all vectors and scalars:

  • (k-Linearity) \(\boldsymbol{\omega}(\mathbf{v}_1, \dots, a\mathbf{v}_i + b\mathbf{v}_i', \dots, \mathbf{v}_k) = a \cdot \boldsymbol{\omega}(\mathbf{v}_1, \dots, \mathbf{v}_i, \dots, \mathbf{v}_k) + b \cdot \boldsymbol{\omega}(\mathbf{v}_1, \dots, \mathbf{v}_i', \dots, \mathbf{v}_k)\) for each argument \(i\) where

  • \(1 \leq i \leq k\).

  • (Complete Antisymmetry) Swapping any two vector inputs reverses the sign of the output: \(\boldsymbol{\omega}(\dots, \mathbf{u}, \dots, \mathbf{v}, \dots) = -\boldsymbol{\omega}(\dots, \mathbf{v}, \dots, \mathbf{u}, \dots)\).

where

  • \(\mathbf{V}\) is a real vector space.
  • \(\mathbf{V}^k\) is the \(k\)-fold Cartesian product of \(\mathbf{V}\).
  • \(\mathbb{R}\) is the set of real numbers.
  • \(\boldsymbol{\omega}\) is a \(k\)-form.
  • \(\mathbf{v}_1, \dots, \mathbf{v}_k, \mathbf{v}_i', \mathbf{u}, \mathbf{v}\) are vectors in \(\mathbf{V}\).
  • \(k\) is a positive integer representing the degree of the form.
  • \(a, b\) are scalars.

168.1 Elementary Example

168.1.1 Simple

A \(1\)-form is a linear map from vectors to scalars.

\[ \omega : V \rightarrow \mathbb{R} \]

\[ V = \{ e_{1},\ e_{2},\ e_{3} \} \]

\[ \omega(e_{1}) = 2,\quad \omega(e_{2}) = -1,\quad \omega(e_{3}) = 0 \]

where

  • \(\omega\) is a \(1\)-form.
  • \(V\) is the set of input basis vectors.

168.1.2 General

A \(2\)-form is an antisymmetric bilinear map. In components it is a \(3 \times 3\) skew matrix on \(\mathbb{R}^{3}\).

\[ \omega : \mathbb{R}^{3} \times \mathbb{R}^{3} \rightarrow \mathbb{R} \]

\[ (\omega_{ij}) = \begin{pmatrix} 0 & 1 & 0 \\ -1 & 0 & 2 \\ 0 & -2 & 0 \end{pmatrix} \]

\[ \omega(u,v) = \sum_{i,j=1}^{3} \omega_{ij}\, u^{i}\, v^{j},\quad \omega_{ij} = -\omega_{ji} \]

where

  • \(\omega_{ij}\) are the components of the \(2\)-form.
  • \(\omega_{ij} = -\omega_{ji}\) is antisymmetry.