Torsion is tensorial: Difference between revisions

From Diffgeom
No edit summary
No edit summary
Line 15: Line 15:


Then, <math>\tau(\nabla)</math> is a [[tensorial map]] in both coordinates.
Then, <math>\tau(\nabla)</math> is a [[tensorial map]] in both coordinates.
==Facts used==
* [[Leibniz rule for derivations]]
* [[Corollary of Leibniz rule for Lie bracket]]: This is the following very useful identity:


==Proof==
==Proof==
Line 28: Line 33:
<math>\tau(\nabla)(fX,Y) = \nabla_Y(fX) - \nabla_{fX}(Y) - [fX,Y] = f \nabla_YX  - f \nabla_Y X - (Yf)(X) - [fX,Y]</math>
<math>\tau(\nabla)(fX,Y) = \nabla_Y(fX) - \nabla_{fX}(Y) - [fX,Y] = f \nabla_YX  - f \nabla_Y X - (Yf)(X) - [fX,Y]</math>


To prove the equality with <math>f \tau(\nabla)(X,Y)</math>, we need to show:
To prove the equality with <math>f \tau(\nabla)(X,Y)</math>, we observe that it reduces to showing:


<math>(Yf)(X) = f[X,Y] - [fX,Y]</math>
<math>(Yf)(X) = f[X,Y] - [fX,Y]</math>


To prove this, we need to show that both sides evaluate to the same expression for any function <math>g</math>. Plugging a function <math>g</math>, we see that the right side becomes:
which is exactly what the corollary of Leibniz rule above states.
 
<math>f(X(Yg) - Y(Xg)) - f(X(Yg)) + Y((fX)g) = Y(f(Xg)) - f(Y(Xg)) </math>
 
Applying the Leibniz rule for <math>Y</math> on the product of functions <math>f</math> and <math>Xg</math>, this simplifies to:
 
<math>(Yf)(Xg) + Y(Xg)(f) - f(Y(Xg)) = (Yf)(Xg)</math>
 
which is precisely equal to the left side.


===Tensoriality in the second coordinate===
===Tensoriality in the second coordinate===

Revision as of 01:05, 5 April 2008

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

Statement

Symbolic 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.

Facts used

Proof

Tensoriality in the first coordinate

We'll use the fact that tensoriality is equivalent to -linearity.

To prove:

Proof: We prove this by expanding everything out:

To prove the equality with , we observe that it reduces to showing:

which is exactly what the corollary of Leibniz rule above states.

Tensoriality in the second coordinate

The proof is analogous to that for the first coordinate.

Fill this in later