Manifold and Vector Fields: An Exercise in Differential Geometry

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SUMMARY

This discussion centers on a differential geometry problem involving manifolds and vector fields. The problem requires proving two statements: (a) the relationship between the Lie derivative of a $k$-form and the inclusion map, and (b) the condition under which the Lie derivative vanishes for the Lie bracket of two vector fields. The key concepts include the Lie derivative, inclusion map, and the Lie bracket, which are fundamental in the study of differential forms on manifolds.

PREREQUISITES
  • Understanding of differential geometry concepts, specifically manifolds and forms.
  • Familiarity with vector fields and their operations on manifolds.
  • Knowledge of the Lie derivative and its properties.
  • Comprehension of the Lie bracket and its significance in vector field interactions.
NEXT STEPS
  • Study the properties of the Lie derivative in the context of differential forms.
  • Explore the implications of the inclusion map in manifold theory.
  • Investigate the applications of the Lie bracket in vector field theory.
  • Review examples of $k$-forms and their behavior under vector field operations.
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Mathematicians, students of differential geometry, and researchers interested in the applications of manifolds and vector fields in theoretical physics and advanced mathematics.

Chris L T521
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Here's this week's problem.

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Problem: Let $M$ be a manifold. Let $\alpha$ be a $k$-form on $M$ and let $X$ and $Y$ be vector fields on $M$.
(a) Prove that $L_X(\iota_Y\alpha)=\iota_Y(L_X\alpha) + \iota_{(L_X Y)}\alpha$.
(b) Prove that $L_{[X,Y]}\alpha=0$ whenever $L_X\alpha=0$ and $L_Y\alpha=0$.

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Here, $\iota$ is your inclusion map and $[X,Y]$ is your standard Lie bracket.

 
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No one answered this week's question. You can find my solution below.

Proof: (a) We will tackle this guy in pieces and put them all together in the end. We first note that for any $\alpha\in\Omega^k(M)$ and $X_1,\ldots,X_{k-1}\in \Gamma(TM)$,
\[\begin{aligned} (\mathcal{L}_X\iota_Y\alpha)(X_1,\ldots,X_{k-1}) &= X((\iota_Y\alpha)(X_1,\ldots,X_{k-1})) - \sum_{i=1}^{k-1}(\iota_Y\alpha)( X_1,\ldots,[X,X_i],\ldots,X_{k-1}) \\ &= X(\alpha(Y,X_1,\ldots,X_{k-1}) - \sum_{i=1}^{k-1}\alpha(Y,X_1,\ldots,[X,X_i],\ldots,X_{k-1}).\end{aligned}\]
On the other hand, we have
\[\begin{aligned} (\iota_Y\mathcal{L}_X\alpha)(X_1 ,\ldots,X_{k-1}) &= \mathcal{L}_X\alpha(Y,X_1,\ldots,X_{k-1}) \\ &= X(\alpha(Y,X_1,\ldots,X_{k-1})) - \alpha([X,Y],X_1,\ldots,X_{k-1})\\ &\phantom{=} -\sum_{i=1}^{k-1}\alpha (Y,X_1,\ldots, [X,Xi],\ldots, X_{k-1}).\end{aligned}\]
Therefore,
\[(\mathcal{L}_X\iota_Y\alpha -\iota_Y\mathcal{L}_X\alpha)(X_1 ,\ldots,X_{k-1}) = \alpha([X,Y],X_1,\ldots,X_{k-1})= \iota_{[X,Y]}\alpha(X_1,\ldots,X_{k-1}) \]
Since we have $\mathcal{L}_XY=[X,Y]$ for vector fields, we now see that
\[\mathcal{L}_X(\iota_Y\alpha) - \iota_Y(\mathcal{L}_X\alpha) = \iota_{(\mathcal{L}_XY)}\alpha \implies \mathcal{L}_X(\iota_Y\alpha) = \iota_Y(\mathcal{L}_X\alpha) + \iota_{(\mathcal{L}_XY)}\alpha.\]

(b) If $\mathcal{L}_X\alpha=0$ and $\mathcal{L}_Y\alpha=0$, then
\[\mathcal{L}_{[X,Y]}\alpha = \mathcal{L}_X(\mathcal{L}_Y\alpha) - \mathcal{L}_Y(\mathcal{L}_X\alpha) = \mathcal{L}_X 0-\mathcal{L}_Y 0 = 0.\]
This completes the proof.$\hspace{.25in}\blacksquare$
 

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