Linear connection: Difference between revisions

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===Curvature of a linear connection===
===Curvature of a linear connection===
{{further|[[Riemann curvature tensor]]}}


The curvature of a linear connection <math>\nabla</math> is denoted as <math>R_\nabla</math>. It is defined as:
The curvature of a linear connection <math>\nabla</math> is denoted as <math>R_\nabla</math>. It is defined as:
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<math>R_\nabla(X,Y) = \nabla_X\nabla_Y - \nabla_Y\nabla_X - \nabla_{[X,Y]}</math>
<math>R_\nabla(X,Y) = \nabla_X\nabla_Y - \nabla_Y\nabla_X - \nabla_{[X,Y]}</math>


The notion of curvature actually makes sense for any connection. In the case of a linear connection, it is tensorial, with lots of nice properties. It is in fact a (1,3)-tensor called the [[Riemann curvature tensor]].
The notion of curvature actually makes sense for any connection.

Revision as of 23:34, 23 July 2009

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(E).

  • 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 E).
  • 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.