Torsion is tensorial: Difference between revisions

From Diffgeom
 
(2 intermediate revisions by the same user not shown)
Line 12: Line 12:
<math>\tau(\nabla)(X,Y) = \nabla_X Y - \nabla_Y X - [X,Y]</math>
<math>\tau(\nabla)(X,Y) = \nabla_X Y - \nabla_Y X - [X,Y]</math>


Then, <math>\tau(\nabla)</math> is a [[fact about::tensorial map]] in both coordinates.
Then, <math>\tau(\nabla)</math> is a [[fact about::tensorial map]] in both coordinates. In other words, the value of <math>\tau(\nabla)</math> at a point <math>p \in M</math> depends only on <math>\nabla, X(p), Y(p)</math> and does not depend on the values of the vectors fields <math>X,Y</math> at points other than <math>p</math>.
 
More explicitly, for any point <math>p \in M</math>, <math>\tau(\nabla)</math> defines a bilinear map:
 
<math>\! \tau(\nabla): T_p(M) \times T_p(M) \to T_p(M)</math>
 
Further, since in fact [[torsion is antisymmetric]], this is an alternating bilinear map.
 
==Related facts==
 
* [[Curvature is tensorial]]
* [[Torsion is antisymmetric]]
* [[Curvature is antisymmetric in first two variables]]


==Facts used==
==Facts used==

Latest revision as of 17:56, 6 January 2012

This article gives the statement, and possibly proof, that a map constructed in a certain way is tensorial
View other such statements

Statement

Let be a differential manifold and be a linear connection on (viz., is a connection on the tangent bundle of ).

Consider the torsion of , namely:

given by:

Then, is a tensorial map in both coordinates. In other words, the value of at a point depends only on and does not depend on the values of the vectors fields at points other than .

More explicitly, for any point , defines a bilinear map:

Further, since in fact torsion is antisymmetric, this is an alternating bilinear map.

Related facts

Facts used

Fact no. Name Statement with symbols
1 Any connection is -linear in its subscript argument for any -function and vector field .
2 The Leibniz-like axiom that is part of the definition of a connection For a function and vector fields , and a connection , we have
3 Corollary of Leibniz rule for Lie bracket (in turn follows from Leibniz rule for derivations For a function and vector fields :



Proof

To prove tensoriality in a variable, it suffices to show -linearity in that variable. This is because linearity in -functions guarantees linearity in a function that is 1 at exactly one point, and zero at others.

The proofs for and are analogous, and rely on manipulation of the Lie bracket and the property of a connection being in the subscript vector.

Tensoriality in the first coordinate

Given: is -function

To prove:

Proof: We start out with the left side:

Each step below is obtained from the previous one via some manipulation explained along side.

Step no. Current status of left side Facts/properties used Specific rewrites
1 Definition of torsion whole thing
2 Fact (1): -linearity of connection in subscript argument
3 Fact (2): The Leibniz-like axiom that's part of the definition of a connection
4 parenthesis rearrangement --
5 Fact (3)
6 factor out --
7 use definition of torsion

Tensoriality in the second coordinate

The proof is analogous to that for the first coordinate.

To prove

Proof: This is similar to tensoriality in the first coordinate.