Difficulty: ★★★★☆ undergraduate / graduate
The connection 1-forms
are one way to express a connection
on a manifold. The connection coefficients
are more familiar and achieve the same purpose, but package the information differently. Connection forms are part of Cartan’s efficient and elegant “moving frames” approach to derivatives and curvature.
[I am only just learning this material, so this article is for my own notes, consolidation of understanding, and checking of conventions. It is a work in progress. There is limited actual derivation in what follows, so don’t be intimidated by the formulae, as they really just introduce notation and a couple of basic properties.]
Write
for a vector basis at each point, and
for its dual basis. For now, we do not assume these frames are orthonormal (in fact, we don’t even need a metric, for now). The connection forms for this basis are:
, where
is any input vector. (I will sometimes write
for the contraction between a vector and covector, which is not uncommon in the literature. The unified notation with the metric scalar product is convenient, although it is sometimes worth reminding oneself that no metric is needed in this particular case.) To find the components, substitute basis vectors
:
![Rendered by QuickLaTeX.com \[ \omega_{\mu\hphantom\nu\sigma}^{\hphantom\mu\nu} := \boldsymbol\omega_\mu^{\hphantom\mu\nu}(\mathbf e_\sigma) = \langle\nabla_\sigma\mathbf e_\mu,\mathbf e^\nu\rangle =: \Gamma_{\sigma\mu}^{\hphantom{\sigma\mu}\nu}, \]](http://cmaclaurin.com/cosmos/wp-content/ql-cache/quicklatex.com-d5fddf068b3b2393d8df910a2ab6e05f_l3.png)
where
as usual. Hence with our conventions, the
-index specifies which basis vector field is being differentiated,
specifies the direction it is being differentiated in, and
specifies the component of the resulting vector. (Lee 2018
Problem 4-14 uses the same convention. MTW
§14.5, Frankel 2012
§9.3b, and Tu 2017
§11.1 would write
for our expression — which swaps the index order.)
We could define separate connection 1-forms
for the dual basis. Note the different index placement. These are:
![Rendered by QuickLaTeX.com \[ \omega\indices^\nu_{\hphantom\nu\mu\sigma} := \boldsymbol\omega^\nu_{\hphantom\nu\mu}(\mathbf e_\sigma) := \langle\nabla_\sigma\mathbf e^\nu,\mathbf e_\mu\rangle = -\langle\nabla_\sigma\mathbf e_\mu,\mathbf e^\nu\rangle = -\omega_{\mu\hphantom\nu\sigma}^{\hphantom\mu\nu}. \]](http://cmaclaurin.com/cosmos/wp-content/ql-cache/quicklatex.com-27ef19a830d62d9e98a93fea6871076a_l3.png)
Hence the two sets of connection forms are related:
![Rendered by QuickLaTeX.com \[ \boldsymbol\omega_\mu^{\hphantom\mu\nu} = -\boldsymbol\omega^\nu_{\hphantom\nu\mu}. \]](http://cmaclaurin.com/cosmos/wp-content/ql-cache/quicklatex.com-401382997b6ad9a63a20ec0bfb60ae95_l3.png)
Caution: This is not the skew-symmetric relation for an orthonormal basis, which is much more common I think. Here we have not even used a metric, so far. The above uses only the natural duality between vectors and covectors. And it compares two different types of connection forms. The equation used:
![Rendered by QuickLaTeX.com \[ 0 = \nabla_\sigma\langle\mathbf e_\mu,\mathbf e^\nu\rangle = \langle\nabla_\sigma\mathbf e_\mu,\mathbf e^\nu\rangle + \langle\mathbf e_\mu,\nabla_\sigma\mathbf e^\nu\rangle. \]](http://cmaclaurin.com/cosmos/wp-content/ql-cache/quicklatex.com-832cdb5ac5b43f58a1f9bede19948998_l3.png)
For the first equality,
is constant, so its gradient vanishes. The second equality follows from the defining properties of the covariant derivative, i.e. the extension of the connection to covectors and other tensors (e.g. Lee 2018
Prop. 4.15).
[Regarding index placement, and their raising and lowering, I was formerly confused by this issue in the context of vector bases, for a previous blog article. Specifically, to express an arbitrary frame in terms of a coordinate basis, some references write the components as
. The Latin index is raised and lowered using the metric components in the arbitrary frame, whereas the Greek index uses the metric components in the coordinate frame. However textbooks were not clear on what was definition vs. what was derived, I thought. I eventually concluded the various indices and their placements are best treated as a definition of components, with any formulae for swapping/raising/lowering being obtained from that.]
But let’s now suppose there is a metric, with compatible connection, and an orthonormal basis. Then a common result is:
, in terms of our notation. I did not see how to prove this, so initially I just copied and affirmed it. But I am now updating this 6 months later, and I realise it is only true for a metric of Riemannian signature. Sorry about that.
Instead, considering the gradient of
leads to
. Multiply both sides by
and sum, which gives:
. On the LHS, this raised the second index, which is tensorial or “linear”. But on the RHS, the first index doesn’t obey the tensorial rule. (See the next article I would write on raising and lowering here.) The RHS is equal to:
. Now apply orthonormality again, so the sum collapses to
, hence:
![Rendered by QuickLaTeX.com \[ \boldsymbol\omega_\mu^{\hphantom\mu\nu} = -\eta_{\mu\mu}\eta_{\nu\nu}\,\boldsymbol\omega_\nu^{\hphantom\nu\mu}. \]](http://cmaclaurin.com/cosmos/wp-content/ql-cache/quicklatex.com-4cfe1bdd90f00e5b6ca2a839c19a0fab_l3.png)
This generalises the orthonormal basis case to Lorentzian signature. Similarly for our alternate connection forms:
.
It is interesting to relate the connection forms to various covariant derivative expressions, but I’ll spin that off into a separate article. I also recently learned (or clarified) that a metric connection may be interpreted as rotations of a frame, a beautiful geometric insight.