A manifold tangent vector is, roughly speaking, an infinitesimal displacement at a specific point on a manifold.
The set of tangent vectors at a point forms a vector
space called the tangent space at
, and the collection of tangent
spaces on a manifold forms a vector
bundle called the tangent bundle.
A tangent vector at a point on a manifold is a tangent vector
at
in a coordinate chart. A change in coordinates
near
causes an invertible linear map of the tangent
vector's representations in the coordinates. This
transformation is given by the Jacobian, which must
be a nonsingular matrix in a change of coordinates.
Hence the tangent vectors at
are well-defined. A vector
field is an assignment of a tangent vector for each point.
The collection of tangent vectors forms the tangent
bundle, and a vector field is a section
of this bundle.
Tangent vectors are used to do calculus on manifolds. Since manifolds are locally Euclidean, the usual notions of differentiation and integration make sense in any coordinate chart, and they can be carried over to manifolds. More specifically, a tangent vector is the manifold version of a directional derivative (at a point). An alternative analogy with calculus is the related notion of a velocity vector.
There are at least three different points of view on tangent vectors. Each has its own pluses and minuses. The extrinsic points of view use the vector space structure of Euclidean space. Thinking of a manifold as a submanifold of Euclidean space, a tangent vector can be thought of as an element in a tangent plane, or submanifold tangent space. In a coordinate chart, a tangent vector is a vector in a (chart) chart tangent space, which is just a copy of Euclidean space.
The problem with the extrinsic points of view is that they depend on a choice of embedding or coordinate chart. There are a couple of ways to think about a tangent vector intrinsically, as an element of an abstract intrinsic tangent space. These are more satisfying from an abstract point of view, but sometimes it is necessary to do calculations in coordinate charts.
It is important to distinguish tangent vectors at from tangent vectors at any other point
, although they may seem parallel.
On a positive-dimensional Lie
group, there is a notion of parallelism, and there exist nonvanishing vector fields. In general, this is far from being true.
On the sphere
, for instance, any smooth vector
field must vanish somewhere.
A more intrinsic geometric definition of a tangent vector is to take a tangent vector at
to be an equivalence class of paths
through
which agree to first order. An extrinsic geometric definition, for a submanifold,
is to view the tangent vectors as a subspace of the
tangent vectors of the ambient space.
Algebraically, a vector field on a manifold is a derivation on the ring
of smooth functions. That is, a vector
field acts on smooth functions and satisfies
the product rule. A vector
field
acts on a smooth function
by its directional derivative.
In local coordinates, write
. Then
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(1)
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This definition requires no Riemannian metric. The expression
is its Euclidean space version, or its metric
formulation after a Riemannian metric has been
chosen (Gualtieri 2018, pp. 43-45). The smooth sections
of the tangent bundle form a sheaf
of derivations of the sheaf
of smooth functions. Its stalk
at
consists of germs of vector fields, rather than individual
tangent vectors. Evaluation at
identifies the tangent space
with the quotient of this stalk by the germs multiplied
by smooth functions vanishing at
.
In fact, in coordinates , the notation for
the standard basis of tangent vectors at 0 is
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(2)
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where the derivation of
is the usual partial derivative
|
(3)
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Letting the base point vary in the coordinate chart,
are vector fields, but are only defined in this coordinate chart.