The submanifold tangent space at a point of a smooth submanifold
is identified with a linear subspace of the ambient
tangent space
. For the inclusion
, its tangent map
is injective, and its image
is this subspace (Meinrenken 2002, pp. 11-12).
For a surface in Euclidean
space, it is the tangent plane translated to
the origin. The elements of
the tangent space are called manifold
tangent vectors, and they are closed under vector
addition and scalar multiplication.
In particular, the tangent space is a vector
space.
Any submanifold of Euclidean space, and more generally any submanifold of
an abstract manifold, has a tangent
space at each point. The family
of tangent spaces to
forms the tangent bundle
.
A vector field assigns to every point
a manifold tangent vector in the tangent
space at
.
There are two ways of defining a submanifold, and each way gives rise to a different way of defining the tangent space. The first way uses a parameterization, and the second way uses a system of equations.
Suppose that
is a smooth local parameterization of rank
of a
-dimensional submanifold
in Euclidean space
. Say,
|
(1)
|
where
is the unit open ball in
, and
. At the point
, the tangent space is
the image of the Jacobian
of
,
as a linear transformation from
to
. For example, consider the unit
sphere
|
(2)
|
in .
Then the function (with the domain
)
|
(3)
|
parameterizes a neighborhood of the north pole. Its Jacobian
at
is given by the matrix
|
(4)
|
whose image is the tangent space at ,
|
(5)
|
An alternative description of a submanifold
as the set of solutions to a system
of equations leads to another description of manifold
tangent vectors. Consider a submanifold
which is the set of solutions to the system
of equations
|
(6)
| |||
|
(7)
| |||
|
(8)
|
where
and the Jacobian of the smooth
map
,
with
,
has rank
at the solutions
to
. A manifold tangent
vector
at a solution
is an infinitesimal solution to the above equations
(at
).
The manifold tangent vector
is a solution of the derivative
(linearization) of
, i.e., it is in the null space
of the Jacobian.
Consider this method in recomputing the tangent space of the sphere at the north pole.
The sphere is two-dimensional
and is described as the solution to a single equation
()
.
Set
.
We want to compute the tangent space at the solution
(at the north pole). The Jacobian
at this point is the
matrix
, and its null space is
the tangent space
|
(9)
|
It appears that the tangent space depends either on the choice of parameterization, or on the choice of system of equations. Because the Jacobian of a function composition obeys the chain rule, the tangent space is well-defined. Note that the Jacobian of a diffeomorphism is an invertible linear map, and these correspond to the ways the equations can be changed. The basic facts from linear algebra used to show that the tangent space is well-defined are the following.
1. If
is an invertible linear map, then the image of
is the same as the image
of
.
2. If
is an invertible linear map, then the null space of
, for
, is the inverse image
under
of the null space of
. More precisely,
.
These techniques work in any dimension. In addition, they generalize to submanifolds of an abstract manifold, because manifold tangent vectors depend on local properties. In particular, the tangent space can be computed in any coordinate chart, because any change in coordinate chart corresponds to a diffeomorphism in Euclidean space.
The tangent space can give some geometric insight to higher-dimensional phenomena. For example, to compute
the tangent space to the torus
(donut)
in
(which is a flat manifold), note that it can be
parametrized by
|
(10)
|
with domain , near the point
.
Its Jacobian at
is the matrix
|
(11)
|
whose image is the tangent space .
Alternatively, is the set of solutions to equations
|
(12)
| |||
|
(13)
|
The Jacobian at the solution is the matrix
|
(14)
|
whose null space is the tangent space .