Curvature is tensorial

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This article gives the statement, and possibly proof, that a map constructed in a certain way is tensorial
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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 Full statement
1 Leibniz rule for derivations For a vector field and functions , we have:
2 Corollary of Leibniz rule for Lie bracket For a function and vector fields :



3 The Leibniz-like axiom that is part of the definition of a connection For a function and vector fields , and a connection , we have

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 By definition of a connection, is -linear in its subscript argument.
2 Fact (3), the Leibniz-like axiom for connection. . 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 is -linear in its subscript argument
4 is additive in its subscript argument Failed to parse (syntax error): {\displaystyle \nabla_{(Yf)}X} + \nabla_{[fX,Y]} = \nabla_{(Yf)X + [fX,Y]}}
5 Fact (2) .

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 By definition of a connection, is -linear in its subscript argument .
2 Fact (3), the Leibniz-like axiom for connection . To make this more concrete, imagine an input . Then, the rewrite becomes . This comes setting , , in Fact (3).
3 is -linear in its subscript argument.
4 is additive in its subscript argument. .
5 Fact (2)

Tensoriality in the third variable

Let be a scalar function. We will show that:

We start out with the left side:

Now we apply the Leibniz rule for connnections on each term:

We again apply the Leibniz rule to the first two term groups:

After cancellations we are left with the following six terms:

But since , the last three terms vanish, and we are left with: