Linear connection: Difference between revisions

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* It satisfies the following relation called the Leibniz rule:
* It satisfies the following relation called the Leibniz rule:


<math>\nabla_X(fv) = (Xf) (v) f \nabla_X(v) </math>
<math>\nabla_X(fv) = (Xf) (v) + f \nabla_X(v) </math>


where <math>f</math> is a scalar function on the manifold and <math>fv</math> denotes scalar multiplication of <math>v</math> by <math>f</math>.
where <math>f</math> is a scalar function on the manifold and <math>fv</math> denotes scalar multiplication of <math>v</math> by <math>f</math>.

Latest revision as of 16:03, 26 May 2025

This lives as an element of: the space of

R

-bilinear maps

Γ(TM)×Γ(TM)Γ(TM)

Definition

Given data

Definition part (pointwise form)

A linear connection is a smooth choice of the following: at each point pM, there is a map p:Tp(M)×Γ(TM)Tp(M), satisfying some conditions. The map is written as pX(v) where XTp(M) and vΓ(TM).

  • It is R-linear in X (that is, in the Tp(M) coordinate).
  • It is R-linear in Γ(TM) (viz the space of sections on TM).
  • It satisfies the following relation called the Leibniz rule:

pX(fv)=(Xf)(p)(v)+f(p)pX(v)

Definition part (global form)

A linear connection is a map :Γ(TM)×Γ(TM)Γ(TM), satisfying the following:

  • It is C-linear in the first Γ(TM)
  • it is R-linear in the second Γ(TM)
  • It satisfies the following relation called the Leibniz rule:

X(fv)=(Xf)(v)+fX(v)

where f is a scalar function on the manifold and fv denotes scalar multiplication of v by f.

Generalizations

The notion of linear connection can be generalized to the more general notion of a connection, where the second TM is replaced by an arbitrary vector bundle E over M.

Operations on a linear connection

Torsion of a linear connection

Further information: torsion of a linear connection

The torsion of a linear connection is denoted as τ(). It is a (1,2)-tensor defined as:

τ()(X,Y)=XYYX[X,Y].

A connection whose torsion is zero is termed a torsion-free linear connection.

Note that torsion makes sense only for linear connections.

Curvature of a linear connection

Further information: Riemann curvature tensor

The curvature of a linear connection is denoted as R. It is defined as:

R(X,Y)=XYYX[X,Y]

The notion of curvature actually makes sense for any connection.