Let be a vector field. It can be used to provide a directional derivative.
Definition
Since is a vector field then it 'eats' a function and gives you a function so this may seem to be notational overkill but we can extend to act on tensor fields.
Directional Derivatives of Tensor Fields
Definition
A connection (aka linear connection, covariant derivative, affine connection) on a smooth manifold is a map that takes a pair consisting of a vector (field) and a -tensor field and sends them to a -tensor (field) . Satisfying:
. This is for a -tensor field but analogously for a -tensor field. (Leibniz Rule)
for functions
A manifold with connection is a quadruple of structures .
Consider vector fields:
Definition
Let , with , then the connection coefficient functions (referring to the 's) w.r.t to the chart are the dim() many functions:
Remark: On a chart domain its choice of the dim() functions suffices to fix the action of on a vector field. Fortunately, the same dim() functions fix the action of on any tensor field.
Commit to memory:
Definition
Let be a vector field. The divergence of is the function:
Change of 's under change of chart
Let and :
In summary:
Commit this to memory. This is the change of connection coefficient function under change of chart to .
Normal Coordinates
Let . Then one can construct a chart with such that:
at the point p. Not necessarily in any neighborhood.
Proof
Let be any chart such that .
Thus in general: .
Then consider a new chart to which one transits by virtue of:
Thus:
Terminology: is called a normal coordinate chart of at .