# Difference between revisions of "Torsion is tensorial"

This article gives the statement, and possibly proof, that a map constructed in a certain way is tensorial
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## Statement

### Symbolic statement

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

Consider the torsion of $\nabla$, namely:

$\tau(\nabla): \Gamma(TM) \times \Gamma(TM) \to \Gamma(TM)$

given by:

$\tau(\nabla)(X,Y) = \nabla_X Y - \nabla_Y X - [X,Y]$

Then, $\tau(\nabla)$ is a tensorial map in both coordinates.

## Facts used

Fact no. Name Statement with symbols
1 Any connection is $C^\infty$-linear in its subscript argument $\nabla_{fA} = f\nabla_A$ for any $C^\infty$-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 $\nabla$, we have $\nabla_A(fB) = (Af)(B) + f\nabla_A(B)$
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

### Tensoriality in the first coordinate

We'll use the fact that tensoriality is equivalent to $C^\infty$-linearity.

To prove: $\tau(\nabla)(fX,Y) = f\tau(\nabla)(X,Y)$

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

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

To prove the equality with $f \tau(\nabla)(X,Y)$, we observe that it reduces to showing:

$\! (Yf)(X) = f[X,Y] - [fX,Y]$

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.

To prove $\tau(\nabla)(X,fY) = f \tau(\nabla)(X,Y)$

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

$\tau(\nabla)(X,fY) = \nabla_X(fY) = \nabla_{fY}(X) - [X,fY] = (Xf)(Y) + f \nabla_XY - f\nabla_YX - f[X,Y] - (Xf)Y$

(the last step uses the corollary of Leibniz rule).

Canceling terms, yields the required result.