Curvature is tensorial: Difference between revisions
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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. | 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. These proofs do not involve any explicit use of <math>Z</math>. The proof for <math>Z</math> relies simply on repeated application of the product rule, and the fact that <math>XY - YX = [X,Y]</math>. | |||
===Tensoriality in the first variable=== | ===Tensoriality in the first variable=== | ||
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Let <math>f:M \to \R</math> be a scalar function. We will show that: | Let <math>f:M \to \R</math> be a scalar function. We will show that: | ||
<math>R(X,fY) = f R(X,Y)</math> | |||
We start out with the left side: | |||
<math>\nabla_X\nabla_{fY} - \nabla_{fY}\nabla_X - \nabla_{[X,fY]}</math> | |||
Applying the Leibniz rule and the property of a connection being <math>C^\infty</math> in its subscript variable yields: | |||
<math>(Xf)\nabla_Y + f(\nabla_X\nabla_Y - \nabla_Y\nabla_X) - \nabla_{[X,fY]}</math> | |||
which simplifies to: | |||
<math>f(\nabla_X\nabla_y - \nabla_Y\nabla_X) - \nabla_{[X,fY] - (Xf)Y}</math> | |||
We now use the fact that: | |||
<math>[X,fY](h) = X(fY(h)) - (fY)(Xh) = (Xf)(Yh) + f(XYh) - f(YX)h = (Xf)(Yh) + f([X,Y]h)</math> | |||
which tells us that: | |||
<math>f[X,Y] = (Xf)Y - [X,fY]</math> | |||
substituting this gives: | |||
<math>f (\nabla_X\nabla_Y - \nabla_Y\nabla_X - \nabla_{[X,Y]}</math> | |||
which is <math>f R(X,Y)</math> | |||
===Tensoriality in the third variable=== | ===Tensoriality in the third variable=== | ||
Revision as of 12:07, 30 August 2007
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 indeed a tensor, viz it is tensorial in each of .
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:
Now it remains to simplify . Observe that:
This tells us that:
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 fact that:
which tells us that:
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: