Torsion is tensorial: Difference between revisions
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<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.