Torsion is tensorial: Difference between revisions

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==Proof==
==Proof==


To prove tensoriality in a variable, it suffices to show <math>C^\infty</math>-linearity in that variable. This is because linearity in <math>C^\infty</math>-functions guarantees linearity in a function that is 1 at exactly one point, and zero at others.
The proofs for <math>X</math> and <math>Y</math> are analogous, and rely on manipulation of the Lie bracket <math>[fX,Y]</math> and the property of a connection being <math>C^\infty</math> in the subscript vector.
===Tensoriality in the first coordinate===
===Tensoriality in the first coordinate===


We'll use the fact that tensoriality is equivalent to <math>C^\infty</math>-linearity.
'''Given''': <math>f:M \to \R</math> is <math>C^\infty</math>-function


''To prove'': <math>\tau(\nabla)(fX,Y) = f\tau(\nabla)(X,Y)</math>
'''To prove''': <math>\tau(\nabla)(fX,Y) = f\tau(\nabla)(X,Y)</math>


''Proof'': We prove this by expanding everything out on the left side:
'''Proof''': We start out with the left side:


<math>\tau(\nabla)(fX,Y) = \nabla_{fX}(Y) - \nabla_Y(fX) - [fX,Y] = f \nabla_X Y  - f \nabla_Y X - (Yf)(X) - [fX,Y]</math>
<math>\tau(\nabla)(fX,Y)</math>


To prove the equality with <math>f \tau(\nabla)(X,Y)</math>, we observe that it reduces to showing:
Each step below is obtained from the previous one via some manipulation explained along side.


<math>\! (Yf)(X) = f[X,Y] - [fX,Y]</math>
{| class="sortable" border="1"
 
! Step no. !! Current status of left side !! Facts/properties used !! Specific rewrites
which is exactly what the corollary of Leibniz rule above states.
|-
| 1 || <math>\nabla_{fX}(Y) - \nabla_Y(fX) - [fX,Y]</math> || Definition of torsion || whole thing
|-
| 2 || <math>f \nabla_X Y  - \nabla_Y(fX) - [fX,Y]</math> || Fact (1): <math>C^\infty</math>-linearity of connection in subscript argument || <math>\nabla_{fX} \mapsto f\nabla_X</math>
|-
| 3 || <math>f \nabla_X Y  - (f \nabla_Y X + (Yf)(X)) - [fX,Y]</math> || Fact (2): The Leibniz-like axiom that's part of the definition of a connection || <math>\nabla_Y(fX) \mapsto f\nabla_YX + (Yf)(X)</math>
|-
| 4 || <math>f \nabla_X Y  - f \nabla_Y X - ((Yf)(X) + [fX,Y])</math> || parenthesis rearrangement || --
|-
| 5 || <math>f \nabla_X Y  - f \nabla_Y X - f[X,Y]</math> || Fact (3) || <math>(Yf)(X) + [fX,Y] \mapsto f[X,Y]</math>
|-
| 6 || <math>f(\nabla_X Y - \nabla_Y X - [X,Y])</math> || factor out || --
|-
| 7 || <math>f\tau(\nabla)(X,Y)</math> || use definition of torsion || <math>\nabla_X Y - \nabla_Y X - [X,Y] \mapsto \tau(\nabla)(X,Y)</math>
|}


===Tensoriality in the second coordinate===
===Tensoriality in the second coordinate===
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''To prove'' <math>\tau(\nabla)(X,fY) = f \tau(\nabla)(X,Y)</math>
''To prove'' <math>\tau(\nabla)(X,fY) = f \tau(\nabla)(X,Y)</math>


''Proof'': We prove this by expanding everything out on the left side:
''Proof'': This is similar to tensoriality in the first coordinate.
 
<math>\tau(\nabla)(X,fY) = \nabla_X(fY) = \nabla_{fY}(X) - [X,fY] = (Xf)(Y) + f \nabla_XY - f\nabla_YX - f[X,Y] - (Xf)Y</math>
 
(the last step uses the corollary of Leibniz rule).
 
Canceling terms, yields the required result.

Revision as of 17:43, 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

Symbolic statement

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

Consider the torsion of , namely:

τ():Γ(TM)×Γ(TM)Γ(TM)

given by:

τ()(X,Y)=XYYX[X,Y]

Then, τ() is a tensorial map in both coordinates.

Facts used

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


f[X,Y]=[fX,Y]+(Yf)X
f[X,Y]=[X,fY](Xf)Y

Proof

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

The proofs for X and Y are analogous, and rely on manipulation of the Lie bracket [fX,Y] and the property of a connection being C in the subscript vector.

Tensoriality in the first coordinate

Given: f:MR is C-function

To prove: τ()(fX,Y)=fτ()(X,Y)

Proof: We start out with the left side:

τ()(fX,Y)

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 fX(Y)Y(fX)[fX,Y] Definition of torsion whole thing
2 fXYY(fX)[fX,Y] Fact (1): C-linearity of connection in subscript argument fXfX
3 fXY(fYX+(Yf)(X))[fX,Y] Fact (2): The Leibniz-like axiom that's part of the definition of a connection Y(fX)fYX+(Yf)(X)
4 fXYfYX((Yf)(X)+[fX,Y]) parenthesis rearrangement --
5 fXYfYXf[X,Y] Fact (3) (Yf)(X)+[fX,Y]f[X,Y]
6 f(XYYX[X,Y]) factor out --
7 fτ()(X,Y) use definition of torsion XYYX[X,Y]τ()(X,Y)

Tensoriality in the second coordinate

The proof is analogous to that for the first coordinate.

To prove τ()(X,fY)=fτ()(X,Y)

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