I’m going to get back eventually to the story about finite-dimensional modules, but for now, Lie algebras are more immediate to my project, so I’ll talk about them here.

From an expository standpoint, jumping straight to basically right after defining Lie algebras was unsound. I am going to try to motivate them here and discuss some theorems, to lead into more of the general representation theory.

** Derivations **

So let’s consider a not-necessarily-associative algebra over some field . In other words, is a -vector space, and there is a -bilinear map , which sends say , but it doesn’t have to either be commutative or associative (or unital). A Lie algebra with the Lie bracket would be one example.

The notion of derivations in an algebra is a generalization of derivatives:

Definition 1Aderivationof is a linear map such that for all ,

If has a two-sided unit, then , so .

So, for instance, if is a polynomial ring (which is an algebra), and is a partial derivative with respect to some variable , then is a derivation of : (1) is the product rule.

Lie algebras and derivations are closely intertwined:

Example 1In a Lie algebra , for fixed, the map , , is a derivation. This is just the Jacobi identity.

We can go the other way too:

Proposition 2Let be an algebra. Then the set of derivations of (which is a vector space, as can be checked directly), is a Lie algebra, under the bracket

This is a matter of computation. The bracket is clearly bilinear and satisfies . The Jacobi identity takes a bit more work to check, but it follows from the definitions too.

Here is a general remark:

Using this, we can make the collection of smooth vector fields on a manifold into a Lie algebra. Indeed, a vector field is the same thing as a derivation of the space of smooth functions—an algebra under pointwise multiplication—by a general theorem, so we can take a Lie bracket. On a Lie group, moreover, we can look at *left-invariant* vector fields, and get the corresponding Lie algebra associated to the Lie group.

** Basic Constructions **

We’ll give a couple of basic constructions on how to construct new Lie algebras from old ones:

Example 2If are Lie algebras, then is a Lie algebra in a natural way.

Example 3If is a Lie algebra and aLie ideal, i.e. implies , then we can make the quotient vector space into a Lie algebra in a natural fashion.

There is also a slightly more complicated construction that amalgamates a Lie algebra and a derivation:

Example 4Let be a Lie algebra and a nonzero derivation. Then the vector space (where is just the one-dimensional space spanned by ) can be made into a Lie algebra containing as a subalgebra. as follows. If , define . If , then . Finally, if , . We need to check that with this, is actually a Lie algebra. The fact that the bracket is bilinear and alternating follows from the definition. To check the Jacobi identity, which is bilinear in the three variables , one reduces to checking individual cases, e.g. .

** The Adjoint Representation **

While we’re covering the basic definitions and facts about Lie algebras, representation theory is our ultimate goal. Here I want to describe an easy way of getting a representation of a Lie algebra.

Definition 3Suppose is of dimension . Then theadjoint representationsends .

Recall from before that is the linear transformation of such that . We need to check this is actually a representation, i.e.

for which we evaluate at some , so that our expression to prove becomes

which follows from a combination of the Jacobi identity and antisymmetry.

The adjoint representation is especially nice when it’s injective, or **faithful**; then we’ve found a way to embed as a Lie subalgebra of some . This will happen e.g. when is semisimple (more about that later).

So, with these basic facts covered, it’s time to start looking at representations in the general case. Next up should be representations of nilpotent algebras, i.e. Engel’s theorem.

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