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
. It is the simplest non-scalar tensor.
Let represent a one-form which acts on vectors of space V, including vectors and . Then the linearity properties of are
-
-
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 in the space V, the following should hold true:
-
-
If these last two conditions are true for every
then the one-forms constitute a vector space.
If V is an inner-product space with inner product 〈 , 〉 then every vector can be mapped to a dual one-form defined by
-
(i.e.
in
lambda notation)
so that the one-form
applied to a vector
yields
-
Thus the inner product provides a
bijection of each vector in
V to a one-form of its dual vector space
.
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
, … ,
, not necessarily
orthonormal nor even
orthogonal. Then the
dual space has a basis
, … ,
which in the three-dimensional case (
n = 3) can be defined by
-
where
is the
Levi-Civita symbol . This definition has the special property that
-
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 belonging to the dual space can be expressed as a linear combination of basis one-forms, with coefficients ("components") ui ,
-
Then, applying one-form
to a basis vector
ej yields
-
due to linearity of scalar multiples of one-forms and pointwise linearity of sums of one-forms. Then
-
that is
-
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