Curvature is tensorial: Difference between revisions
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==Statement== | ==Statement== | ||
Let <math>\nabla</math> be a [[connection]] on a [[vector bundle]] <math>E</math> over a [[differential manifold]] <math>M</math>. The | Let <math>\nabla</math> be a [[connection]] on a [[vector bundle]] <math>E</math> over a [[differential manifold]] <math>M</math>. The [[fact about::Riemann curvature tensor]] of <math>\nabla</math> is given as a map <math>\Gamma(TM) \otimes \Gamma(TM) \otimes \Gamma(E) \to \Gamma(E)</math> defined by: | ||
<math>R(X,Y)Z = \nabla_X\nabla_Y Z - \nabla_Y \nabla_X Z - \nabla_{[X,Y]} Z</math> | <math>R(X,Y)Z = \nabla_X\nabla_Y Z - \nabla_Y \nabla_X Z - \nabla_{[X,Y]} Z</math> | ||
We claim that <math>R</math> is a [[tensorial map]] in each of the variables <math>X,Y,Z</math>. | We claim that <math>R</math> is a [[fact about::tensorial map]] in each of the variables <math>X,Y,Z</math>. | ||
==Related facts== | ==Related facts== |
Revision as of 01:11, 24 July 2009
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
- Leibniz rule for derivations: This states that for a vector field and functions , we have:
- Corollary of Leibniz rule for Lie bracket: This states that for a function and vector fields :
- The Leibniz rule axiom that's part of the definition of a connection, namely:
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
Let be a scalar function. We will show that:
We start out with the left side:
Now by the definition of a connection, is -linear in its subscript argument. Thus, the above expression can be written as:
Now applying the Leibniz rule for connections, we get:
We can rewrite and we then get:
By the corollary stated above, we have:
which, substituted back, gives:
Tensoriality in the second variable
Let be a scalar function. We will show that:
We start out with the left side:
Applying the Leibniz rule and the property of a connection being in its subscript variable yields:
which simplifies to:
We now use the corollary stated above:
substituting this gives:
which is
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: