Torsion is tensorial: Difference between revisions
(New page: ==Statement== ===Symbolic statement=== Let <math>M</math> be a differential manifold and <math>\nabla</math> be a linear connection on <math>M</math> (viz., <math>\nabla</math> i...) |
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given by: | given by: | ||
<math>\tau(\nabla)(X,Y) = \nabla_X Y | <math>\tau(\nabla)(X,Y) = \nabla_Y X - \nabla_X Y - [X,Y]</math> | ||
Then, <math>\tau(\nabla)</math> is a [[tensorial map]] in both coordinates. | Then, <math>\tau(\nabla)</math> is a [[tensorial map]] in both coordinates. | ||
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''Proof'': We prove this by expanding everything out: | ''Proof'': We prove this by expanding everything out: | ||
<math>\tau(\nabla)(fX,Y) = \nabla_{fX}(Y | <math>\tau(\nabla)(fX,Y) = \nabla_Y(fX) - \nabla_{fX}(Y) - [fX,Y] = f \nabla_YX - f \nabla_Y X - (Yf)(X) - [fX,Y]</math> | ||
To prove the equality with <math>f \tau(\nabla)(X,Y)</math>, we need to show: | To prove the equality with <math>f \tau(\nabla)(X,Y)</math>, we need to show: | ||
<math>( | <math>(Yf)(X) = f[X,Y] - [fX,Y]</math> | ||
To prove this, we need to show that both sides evaluate to the same expression for any function <math>g</math>. Plugging a function <math>g</math>, we see that the right side becomes: | To prove this, we need to show that both sides evaluate to the same expression for any function <math>g</math>. Plugging a function <math>g</math>, we see that the right side becomes: | ||
<math>f(X(Yg) - Y(Xg)) - f(X(Yg)) + Y((fX)g) = Y(( | <math>f(X(Yg) - Y(Xg)) - f(X(Yg)) + Y((fX)g) = Y(f(Xg)) - f(Y(Xg)) </math> | ||
Applying the Leibniz rule for <math>Y</math> on the product of functions <math>f</math> and <math>Xg</math>, this simplifies to: | |||
<math>( | <math>(Yf)(Xg) + Y(Xg)(f) - f(Y(Xg)) = (Yf)(Xg)</math> | ||
which is precisely equal to the left side. | |||
===Tensoriality in the second coordinate=== | |||
The proof is analogous to that for the first coordinate. | |||
{{fillin}} |
Revision as of 00:36, 5 April 2008
Statement
Symbolic statement
Let be a differential manifold and be a linear connection on (viz., is a connection on the tangent bundle of ).
Consider the torsion of , namely:
given by:
Then, is a tensorial map in both coordinates.
Proof
Tensoriality in the first coordinate
We'll use the fact that tensoriality is equivalent to -linearity.
To prove:
Proof: We prove this by expanding everything out:
To prove the equality with , we need to show:
To prove this, we need to show that both sides evaluate to the same expression for any function . Plugging a function , we see that the right side becomes:
Applying the Leibniz rule for on the product of functions and , this simplifies to:
which is precisely equal to the left side.
Tensoriality in the second coordinate
The proof is analogous to that for the first coordinate.
Fill this in later