Derivatives of differential form functions ed
Will be needed in intuitive Hamiltonsche Feldmechanik
Starting point ed
\[\bigwedge V\] is the Graßmann-Algebra of a vector space \[V\] with \[\bigwedge^k V\] the subspace of k-(multi-)vectors. \[\Omega^k\] is the space of k-forms (Differentialformen). Our space dimension is n.
Let
- \[f : \bigwedge^k V \rightarrow \bigwedge^l V\]
- \[f(\omega) \in \Omega^l\]
We could allow general functions \[f : \bigwedge V \rightarrow \bigwedge V\], but that will create problems later...
Definition ed
(Using a form of Fréchet derivative)
The function \[f\] is differentiable, if there exists a (l-k)-form \[ A = \frac{\partial f}{\partial \omega} \], so that
- \[ \lim_{\epsilon \rightarrow 0} \frac{ \| f(\omega + \epsilon) - f(\omega) - A \wedge \epsilon \| }{ \| \epsilon \| } = 0 \] with \[ \epsilon \in \bigwedge^k V \]
- \[ \lim_{\epsilon \rightarrow 0} \frac{ \| f(\omega + \epsilon \phi) - f(\omega) - \epsilon A \wedge \phi \| }{ |\epsilon| \| \phi \| } = 0, \quad \forall \phi \in \bigwedge^k V \]
\[f\] can only be differentiable, if \[l \gt k\].
Not even all linear \[f\] will be differentiable (see examples). We could have used a weaker definition with \[A \epsilon\] instead of \[A \wedge \epsilon\], turning \[ \frac{\partial f}{\partial \omega} \] into a linear operator \[\operatorname{Hom}(\bigwedge V, \bigwedge V)\]. But again, that would lead to problems...
Examples ed
- a) \[ f(\omega) = \omega \]
- \[ 0 = \lim_{\epsilon \rightarrow 0} \frac{ \| \omega + \epsilon - \omega - f' \wedge \epsilon \| }{ \| \epsilon \| } \quad \Rightarrow \quad f' = 1 \]
- b) \[ f(\omega) = \star \omega \]
- \[ 0 = \lim_{\epsilon \rightarrow 0} \frac{ \| \star \omega + \star \epsilon - \star \omega - f' \wedge \epsilon \| }{ \| \epsilon \| } \quad \Rightarrow \quad \] :-(
- (not differentiable, only in the weaker sense of a linear operator \[f' \circ = \star \circ \])
- c) \[ f(\omega) = \mu \wedge \omega \]
- \[ 0 = \lim_{\epsilon \rightarrow 0} \frac{ \| \mu \wedge \omega + \mu \wedge \epsilon - \mu \wedge \omega - f' \wedge \epsilon \| }{ \| \epsilon \| } \quad \Rightarrow \quad f' = \mu \]
- d) \[ f(\omega) = \omega \wedge \star \omega = \langle \omega, \omega \rangle dV \]
- \[ 0 = \lim_{\epsilon \rightarrow 0} \frac{ \| \dots + \omega \wedge \star \epsilon + \epsilon \wedge \star \omega - f' \wedge \epsilon \| }{ \| \epsilon \| } = \lim_{\epsilon \rightarrow 0} \frac{ \| 2 \langle \omega, \epsilon \rangle dV - f' \wedge \epsilon \| }{ \| \epsilon \| } \quad \Rightarrow \quad f' = 2 \star \omega \]
- e) \[ f(\omega) = \omega \wedge \omega \]
- \[ 0 = \lim_{\epsilon \rightarrow 0} \frac{ \| \dots \omega \wedge \epsilon + \epsilon \wedge \omega - f' \wedge \epsilon \| }{ \| \epsilon \| } = \lim_{\epsilon \rightarrow 0} \frac{ \| \omega \wedge \epsilon + (-1)^k \omega \wedge \epsilon - f' \wedge \epsilon \| }{ \| \epsilon \| } \]
- \[ \Rightarrow \quad f' = 0\] for k odd and \[f' = 2 \omega\] for k even.
Rules ed
Linearization ed
By definition we have the linear approximation
- \[ f(w_0 + \Delta \omega) \approx f(\omega_0) + \frac{\partial f}{\partial \omega}(\omega_0) \wedge \Delta \omega \]
Product rule ed
Let \[ f(\omega) = g(\omega) \wedge h(\omega) \] with g,h differentiable of degrees l, m.
- \[ 0 = \lim_{\epsilon \rightarrow 0} \frac{ \| g(\omega + \epsilon) \wedge h(\omega + \epsilon) - g(\omega) \wedge h(\omega) - f' \wedge \epsilon \| }{ \| \epsilon \| } \]
- \[ = \lim_{\epsilon \rightarrow 0} \frac{ \| \left[g(\omega) + g'(\omega) \wedge \epsilon\right] \wedge \left[h(\omega) + h'(\omega) \wedge \epsilon\right] - g(\omega) \wedge h(\omega) - f' \wedge \epsilon \| }{ \| \epsilon \| } \]
- \[ = \lim_{\epsilon \rightarrow 0} \frac{ \| g(\omega) \wedge h'(\omega) \wedge \epsilon + g'(\omega) \wedge \epsilon \wedge h(\omega) - f' \wedge \epsilon \| }{ \| \epsilon \| } \]
- \[ \epsilon \wedge h(\omega) = (-1)^{km} h(\omega) \wedge \epsilon \]
- \[ \Rightarrow f' = g' \wedge h + (-1)^{km} g \wedge h' \]
Outer derivative ed
Since \[f(\omega)\] is a l-form, we can ask, what is \[ d(f(\omega)) \]?
To be more precise, we need to write \[f(\omega(x))\] and linearize at the point \[x0\]. The outer differential at the point \[x_0\] is then
- \[ d_{|x=x_0}(f(\omega(x_0 + \Delta x))) \]
- \[ = d_{|x=x_0} \left( \underbrace{f(\omega(x_0))}_{const} + \underbrace{\frac{\partial f}{\partial \omega}(\omega(x_0))}_{const} \wedge \left( \omega(x_0 + \Delta x) - \underbrace{\omega(x_0)}_{const} \right) \right) \]
- \[ = d_{|x=x_0} \left(\frac{\partial f}{\partial \omega}(\omega(x_0)) \wedge \left( \omega(x_0 + \Delta x) \right) \right) \]
- \[ = (-1)^{l-k} \frac{\partial f}{\partial \omega}(\omega(x_0)) \wedge d_{|x=x_0} \omega(x_0 + \Delta x) \]
- \[ d(f(\omega)) = (-1)^{l-k} \frac{\partial f}{\partial \omega} \wedge d\omega \]
More parameters ed
Let's generalize to functions \[f(\omega_1,\dots,\omega_s,x)\] with multiple parameters and point-dependence.
The only significant change is the outer derivative
- \[ d(f(\omega_1,\dots,\omega_s,x)) = \sum_i (-1)^{l-k_i} \frac{\partial f}{\partial \omega_i} \wedge d\omega_i + (df)(\omega_1,\dots,\omega_s,x) \]