Suppose is abelian, so the bracket is zero. Then for all , so for all and . The Killing form was introduced to equip with some interesting geometry, and defining the dot product of two vectors to be identically zero isn't an interesting geometry, so we want to focus on examples where this doesn't happen.
Dual Killing form
Killing form
Recall that any Lie algebra admits a symmetric bilinear form called the Killing form
A symmetric bilinear form
is called
We say that
is
I'm being immoral here. The correct definition of semisimplicity is actually quite different from this, involving diagonalisability of certain matrices. It's then a theorem ("Cartan's criterion") that semisimplicity is equivalent to nondegeneracy of the Killing form. However, the way I've set things up, we don't need to know the usual definition of semisimplicity, but we do need to know about nondegeneracy of the Killing form.
Compact groups
Here is a theorem (which we won't prove; it will be an exercise) which gives a large class of examples of semisimple Lie algebras.
If is a compact group then the Killing form is (real-valued and) negative semidefinite, i.e. for all . Moreover if and only if , i.e. if commutes with everything in the Lie algebra.
The
Recall that the centre of a group is the set of all elements which commute with every other element of the group. It's possible to have Lie groups with nontrivial centre but where the Lie algebra has trivial centre, for example has while .
If is compact and then is semisimple.
Since , for all , so is semisimple.
Assume . Let be a maximal torus. Let be the Lie algebra of . Let and . Then is positive definite.
, so (unless ).
Another name for a positive-definite symmetric bilinear form
is a
The dual
Definition
Remember that our weight diagram lives in , not in .
If is a nondegenerate symmetric bilinear form then inherits a symmetric bilinear form .
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There is an isomorphism (its inverse is called ) defined in the following way: for all and .
This uniquely determines the map because is nondegenerate (it will be an exercise to see this).
-
Define .
More concretely...
To make this a little less abstract, let's write out what this means in terms of matrices. Pick a basis of and define a matrix whose entry is . Then
Given , we can think of as a row vector and we want to produce a column vector such that for all .
We have Now taking coefficients of on both sides we get
Since is symmetric, this implies , which we can write as Hence
This only makes sense if is invertible, and this turns out to be equivalent to nondegeneracy. The flat map is then given by , which makes sense even if is degenerate.
Finally, let's define by . Since , we have
Therefore . So if we want to compute the matrix of the dual symmetric bilinear form (with respect to the dual basis), we first compute the matrix of , then we invert it.
Example
For , we calculated and for the Killing form on (spanned by and ). So, as a matrix , we get
On the dual space , we therefore get Let and be the dual basis of . Then so if is the angle between these two vectors then , and is degrees.
This is why I was drawing my and axes at 120 degrees to one another in weight diagrams.