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A one-form, also called a covector, is a linear function which maps each vector in a vector space to a real number, such that the mapping is invariant with respect to coordinate transformations of the vector space.

Introduction


A one-form is a tensor of type \begin{pmatrix} 0 \\ 1 \end{pmatrix} . It is the simplest non-scalar tensor.

Let \tilde{f} represent a one-form which acts on vectors of space V, including vectors \vec u and \vec v. Then the linearity properties of \tilde{f} are

\tilde{f} (\vec u + \vec v) = \tilde{f} (\vec u) + \tilde{f} (\vec v)
\tilde{f} (\alpha \vec v) = \alpha \tilde{f} (\vec v)
where α is a scalar.

The set of all one-forms definable on the vector space V can also itself be a vector space if one-forms can be added to each other or be multiplied by scalars in a pointwise linear manner. That is, if the vectors of the space V are position vectors of points, then for every point \vec v in the space V, the following should hold true:

(\tilde{f} + \tilde{g}) (\vec v) = \tilde{f}(\vec v) + \tilde{g}(\vec v)
(\alpha \tilde{f}) (\vec v) = \alpha \tilde{f}(\vec v).
If these last two conditions are true for every \vec v \isin V then the one-forms constitute a vector space.

If V is an inner-product space with inner product 〈 , 〉 then every vector \vec v can be mapped to a dual one-form \tilde{v} defined by

\tilde{v} := \langle \vec v, \ \rangle
(i.e. \tilde{v} := \lambda x. \langle \vec v, x \rangle in lambda notation) so that the one-form \tilde{v} applied to a vector \vec u yields
\tilde{v} (\vec u) = \langle \vec v, \vec u\rangle.
Thus the inner product provides a bijection of each vector in V to a one-form of its dual vector space \tilde{V}.

Visualizing one-forms


A vector is usually visualized as an arrow extending from the origin to a point in space. A one-form can be visualized as a set of equally spaced parallel planes which partition the entire space. The magnitude of a one-form is directly proportional to the density of parallel planes and inversely proportional to the spacing between pairs of neighboring planes. To find the result of applying a one-form to a vector, basically count the number of planes which a vector cuts through. (Note: this visualization is discrete whereas one-forms and vectors have magnitudes which range continuously over the real numbers. The visualization can be interpolated linearly, as it were, to increase the precision.)

Unfortunately, the problem with visualizing a one-form as a set of planes is that there is no simple way to define the negative of the one-form, or addition of one-forms. Because of this, such a visualization must be seen as only a rudimentary concept.

Basis of the dual space


Let the vector space V have a basis {\vec e}_1,\ {\vec e}_2, … , {\vec e}_n, not necessarily orthonormal nor even orthogonal. Then the dual space \tilde{V} has a basis \tilde{\omega}^1, \ \tilde{\omega}^2, … , \ \tilde{\omega}^n which in the three-dimensional case (n = 3) can be defined by
\tilde{\omega}^i = {1 \over 2} \, \left\langle { \epsilon^{ijk} \, (\vec e_j \times \vec e_k) \over \vec e_1 \cdot \vec e_2 \times \vec e_3} , \qquad \right\rangle
where \epsilon\,\! is the Levi-Civita symbol . This definition has the special property that
\tilde{\omega}^i (\vec e_j) = \delta^i {}_j
where δ is the Kronecker delta. Thus, these two dual bases are mutually orthonormal even if each basis is not self-orthonormal.

N.B. The superscripts of the basis one-forms are not exponents but are instead contravariant indices.

A one-form \tilde{u} belonging to the dual space \tilde{V} can be expressed as a linear combination of basis one-forms, with coefficients ("components") ui ,

\tilde{u} = u_i \, \tilde{\omega}^i
Then, applying one-form \tilde{u} to a basis vector ej yields
\tilde{u}(\vec e_j) = (u_i \, \tilde{\omega}^i) \vec e_j = u_i (\tilde{\omega}^i (\vec e_j))
due to linearity of scalar multiples of one-forms and pointwise linearity of sums of one-forms. Then
\tilde{u}({\vec e}_j) = u_i (\tilde{\omega}^i ({\vec e}_j)) = u_i \delta^i {}_j = u_j
that is
\tilde{u} (\vec e_j) = u_j.
This last equation shows that an individual component of a one-form can be extracted by applying the one-form to a corresponding basis vector.

Differential one-forms


A differential one-form is a one-form the components of which are all differential. It is the simplest non-scalar differential form.

See also


Reference


  • Bernard F. Schutz (1985, 2002). A first course in general relativity. Cambridge University Press: Cambridge, UK. Chapter 3. ISBN 0-521-27703-5.

Differential forms

Ковектор

 

This article is licensed under the GNU Free Documentation License. It uses material from the "One-form".

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