Curvature is tensorial: Difference between revisions

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| 3 || [[uses::Corollary of Leibniz rule for Lie bracket]] (in turn follows from [[uses::leibniz rule for derivations]]|| For a function <math>f</math> and vector fields <math>X,Y</math>:
| 3 || [[uses::Corollary of Leibniz rule for Lie bracket]] (in turn follows from [[uses::leibniz rule for derivations]]|| For a function <math>f</math> and vector fields <math>X,Y</math>:
<br><math>\! f[X,Y] = [fX,Y] + (Yf)X</math><br><math>f[X,Y] = [X,fY] - (Xf)Y</math>
<br><math>\! f[X,Y] = [fX,Y] + (Yf)X</math><br><math>\! f[X,Y] = [X,fY] - (Xf)Y</math>
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Revision as of 00:16, 20 December 2011

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 connection on a vector bundle over a differential manifold . The Riemann curvature tensor of is given as a map defined by:

We claim that is a tensorial map in each of the variables .

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. These proofs do not involve any explicit use of . The proof for relies simply on repeated application of the product rule, and the fact that .

Tensoriality in the first variable

Given: is a -function.

To prove: , or more explicitly,

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 Fact (1): is -linear in its subscript argument.
2 Fact (2) . To understand this more clearly imagine an input to the whole expression, so that the rewrite becomes . In the notation of fact (3), , , and .
3 Fact (1)
4 is additive in its subscript argument
5 Fact (3)
6 Fact (1)

Tensoriality in the second variable

Given: is a -function.

To prove: , or more explicitly, .

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 Fact (1) .
2 Fact (2) . To make this more concrete, imagine an input . Then, the rewrite becomes . This comes setting , , in Fact (3).
3 Fact (1)
4 is additive in its subscript argument. .
5 Fact (3)
6 Fact (1)

Tensoriality in the third variable

Given: A -function .

To prove: . More explicitly, .

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 Fact (2) and
2 Fact (2) , etc.
3 -- cancellations
4 use , definition cancellation