Vector Fields on Manifolds
Given a differentiable manifold , a vector field on is a section of the tangent bundle. Explicitly, is an assignment that sends each point to a tangent vector . The space of all vector fields is denoted by . or .
e.g. .
Vector Fields are Derivations
One can see from the derivation definition of tangent vectors that a vector field can be identified as a derivation that satisfies the equation:
The space of vector fields has a rich structure:
Proposition
The space of vector fields is a -vector space.
Proof It suffices to check that the scaler multiplication is valid. Indeed, where the dot denotes the scalar multiplication in . It is clear that this satisfies distributivity and the associativity.
Proposition
Proof We can define the the scaler multiplication of a vector field by a smooth function as follows: where the dot denotes the scalar multiplication in . Clearly this gives a smooth vector field, and thus makes a module over .
Pullback Vector Fields
Pullback Vector Field
Suppose is a local diffeomorphism. The pullback of a vector field by is the pullback section of the tangent bundle. That is
Proof
Lie Bracket of Vector Fields
Lie Bracket of Vector Fields
Let . Then the Lie bracket of and is the vector field defined (as a derivation) by
The Lie bracket is thus the commutator of and as operators on smooth functions.
Properties of Lie Bracket
The following hold for the Lie bracket of vector fields:
- Bilinearity: .
- Skew-symmetry: .
- Jacobi Identity: .
That is, forms a real Lie algebra.
Proof Bilinearity and skew-symmetry follow from the definition directly. We now check Jacobi identity. For all , there holds
Corollary
Let be a smooth manifold and let be an immersed submanifold with or without boundary in . If and are smooth vector fields on that are tangent to , then is also tangent to .