This is meant to a be a very quick introduction to Lie groups and representation, tuned for computing the representations of the Poincaré group and of (special) unitary groups occuring in the standard model. Unless specified, we will be considering finite-dimensional representation in this section.
A Lie group is a group , with a comptible differential structure, i.e., such that the multiplication
and the inverse
are differentiable mappings.
Basic examples of Lie groups are the general linear groups of order : and . Since they are open subsets of and respectevely they have a natural differentiable structure, and both the product and the inverse are differentiable operations. Closed subgroups of and are Lie groups. Classical examples are:
We will meet a few of them as typical groups for particle physics. Notice that all the Lie groups listed above are matrix groups. This is not always the case, i.e., not every Lie group is a matrix group, but due to introductional purpose of the section, the proofs will be given only for matrix groups.
We want to introduce Lie algebras as tangent spaces at the identity for Lie groups. As for any differential manifold, the tangent space at a point is ralized by considering all the germs of smooth curves from , and taking their tangent vector at . Therefore, if we write
where is a Lie group and is its identity element, then
Note that for a sub-Lie group of the general linear group of order , the Lie algebra is a subspace of the vector space of matrices. It should be remarked that is a real subgroup of but not a complex subgroup; hence its Lie algebra is a real subspace of but not a complex subspace.
Proposition. Let be Lie subgroup of , with or , then is a linear subspace of .
Proof. A typical result borrowed by differential geometry states that the tangent space in a point for a -dimensional manifold , is a vector space of dimension . By an easy calculation, it results that the tangent space to is . Then for every , , , is a vector space, included in . This completes the proof.
We are going to give a Lie algebra structure.
Definition. A Lie algebra is a vector space endowed with an antisymmetric bilinear operation such that the Jacobi identity holds, for any in .
Recall that for matrix algebras the bracket has its common form:
Proposition. The vector space has a natural Lie algebra structure.
Proof. We only prove this for a matrix group ; hence our simplified statement will be: the subspace is closed with respect to the Lie bracket of . First remark that group is closed under conjugation: if then for every . Thus if is a smooth curve through the identity, so is . By differentiating, we see that is in . We can state that under for is sent to . We obtain a smooth function in : . By definition we have:
The right side is a multiplication for a scalar of two elements from a vector space, then is still in the vector space. Since is a closed subset in a matrix space the limit is still in . Let’s compute the limit.
Then
Evaluating in results that is still in . Hence is closed respect to the Lie bracket of , and so it has a natural induced Lie algebra structure.
The construction so far of a Lie algebra clearly shows that it is the infinitesimal part of a Lie group. Through the exponential map we can go backwards from to .
Definition. The exponential of a matrix is:
The exponential has some nice properties, which we report without proof:
Proposition. Let be a squared complex matrix. then 1. whenever 1. is non singular 1. is a smooth curve into 1. 1. 1. is a mapping from matrix space into itself.
Domenico: It’s worth using the exponential to write explicitely the Lie algebras of the matrix groups mentioned above here.
A typical result from differential geometry states that the exponential map is a local homeomorphism defined between and an open set in the Lie group. The exponential map plays a key role in connecting Lie algebras representation to Lie groups representation. So we want to study Lie algebras reps, first, and then furnish a way to refer them to corresponding Lie groups.
Definition. Let be a vector space over a field A representation of on is a morphism of Lie algebras such that:
Domenico: What does “such that” should mean???? I guess you intended to write “a morphism of Lie algebras , i.e., a linear map such that…”
Examples: * ad is a representation of on with * If is a sub-Lie algebra of , then the inclusion is a representation of over , called the defining representation.
Recall that a representation is irreducible if and only if the only invariant subspace , such that , are and .
Notation. Given a representation as above, we will be writing with and instead of .
Recall that a vector such that is an eigenvector for the action of with eigenvalue . In representation theory an eigenvalue is commonly said “weight”.
We end section by introducing the tensor product of representation. Given and representation for , we define the representation , the vector space with action:
If is an eigen vector for the action of , with eigenvalue and is an eigenvector with eigenvalue then we obtain the following:
The tensor product of two or more eigenvectors is an eigenvector with eigenvalue the sum of the eigenvalues.
We now present a general method for studying Lie algebras representation. We will be referring to representations for sl(2,C). First we need to introduce the concept of semi-simplicity for Lie algebras. Recall that a Lie algebra is solvable if the sequence at a certain step is . We define to be simple if is non abelian and has no proper nonzero ideals, and semi-simple if has no nonzero solvable ideals. We have a criterion to recognize semi-simple Lie algebras, consisting in computing the Killing form for a Lie algebra:
Definition. Let be a Lie algebra, then the Killing form for is the bilinear form
where is the linear application
Recall that a bilinear form on a vector space is non-degenerate if and only if is .
Theorem. \[ Cartan's criterion \]
The Lie algebra is semi-simple if and only if the Killing form for is nondegenerate.
There is now a “standard” way to approach representation for Lie algebras consisting of several step. Step 0. Verify that the algebra is semi-simple (for example using Cartan’s Criterion). Step 1. Find an abelian sub-algebra acting diagonally. This is the analogous of . We want such an that is maximal among all abelian sub-algebras acting diagonally. We call it Cartan sub-algebra. Step 2. Let act on by the adjoint representation, and decompose accordingly. We obtain the Cartan decomposition:
If then for , . Such an is a weight for adjoint representation and is also said “root”. Let and then
i.e. acts by adjoint on carrying an element of in . This is the analogous of and in . One can prove that each is one dimensional, and that if is a root, then so is for . The analogous is valid for a generic representation on vector space. We obtain the following direct sum decomposition:
and a computation shows that each carries into
pics to insert.
Step 3. Find the copies of in . We already remarked in step 2 that each is one-dimensional and for any given a exists. The commutator , due to calculation done in step 2. is in and has dimension at most 1, next ,by proving that the commutator is not , it results that:
is a copy of in .
Step 4. We can now build a lattice of weight for a given representation. We have two fundamental lattices: generated by roots, and the lattice generated by the weights of the standard representation. Due to the calculation above, any “legal” value for a weight lays on and any other weight must be congruent modulo to .
Pic to insert.
Step 5. –TOFIX – Since it now clear where a weight is located, we want to present a symmetry in the weight space. First introduce the Weyl group. It the group generated by reflections of the weights respect to the orthogonal hyper-plane. Now suppose that is a representation with a certain decomposition . The weights appearing in this decomposition can then be broken up into equivalence classes mod , and the direct sum of the eigenspaces in a given equivalence class will be a subrepresentation of for . It follows that the set of weights of congruent to any give mod will be invariant under action of , reflection of the Weyl group respect to the hyperplane orthogonal to . In concrete this is a formal proof to the fact that the weights are symmetric respect to the origin.
Step 6. In the end we have to “choose a direction” in the weight space. This is done by evaluating roots with a linear real functional irrational respect to (i.e. ). This leads to a classification of weights in
are the positive ones, and the negative. We can now give in general the definition for highest weight and highest weight vector. Let be a representation of , a non-zero vector that is both eigenvector for the action of and in the kernel of is called a highest weight vector of .
Proposition.For any semisimple Lie algebra , any finite-dimensional representation of possesses a highest weight vector, and any invariant subspace generated by successive application of on highest weight vector of is an irreducible representation. Every irreducible representation possesses a unique highest weight vector up to scalar.
Given a Lie algebra of a Lie subgroup of the complexification is the tensor product
Sometimes it is convenient to consider the complexification instead of the Lie algebra. Moreover the following result for representation is valid:
Proposition. Let be the Lie algebra of a Lie subgroup of and let be a representation for . Then is irreducible for if and only if it is irreducible for .
Proof. Given a , it is invariant under the action of if and only if it is invariant under the action of : the complex coefficents of are absorbed by the complex structure of the vector subspace .
A representation for a Lie group acting on a vector space is a homomorphism i.e. . We already remarked that a Lie Algebra is the tangent space to the identity for a certain Lie group . So the first problem is associating to a Lie group . Remark that this operation is ambiguous: different Lie groups may have the same Lie algebra modulo isomorphism.
Transporting a Lie algebra representation to a Lie group representation it’s the same than, given an homomorphism between Lie algebras, obtaining a homomorphism between group and vice-versa. Recall that for a given connected Lie group, a neighborhood of the identity generates .
Proposition. Let and be Lie groups with connected. A map is uniquely determined by its differential at the identity.
This is easily achieved by utilizing the exponential map: the basic idea is that since is a local homeomorphism in a neighborhood of the identity, we can write each element as product and realize each as exponential: . So by knowing the action of we can reconstruct in a neighborhood of the identity, through the exponential map, and then reconstruct the action on the whole group by the precedent proposition.
The following construction is achieved:
The opposite is not always possible by considering Lie groups that are just connected. We need to know which homomorphisms between vector space are differential of a homomorphism between Lie groups. The main issue about this problem is that, while it is always possible writing as a product of with neighborhood of the identity, it is not always true that this form is unique. The basic idea is that we can join and in by several paths. Each path is a different choice of in the neighborhood to write . If two paths can be made the same by an homotopy, then the two different “writings” can be made the same continuosly, else there is a discontinuity. In the second case, attempting a pullback from a vector space homomorphism results in an ambiguity of the definition. The obvious request to do for a Lie group to avoid this ambiguity, is to be simple-connected.
Example todo
The results so far can be applied to representation theory by remarking that a representation of on a vector space an application:
linear, that preserves brackets. We have that every representation of a connected and simply connected Lie group are in one-to-one correspondence with representation of its Lie algebra.
An important type of representation is the unitary one.
Definition. A representation is said unitary.
Their importance resides in being the principal type of representation we want to consider in physics. First we have a result for non-compact Lie group:
Theorem. Let be a unitary representation of a Lie group G acting on , Hilbert space of finite dimension . Then is completely reducible. Moreover, if is irreducible and if si a connected, simple non compact Lie group, then is the trivial representation.
In concrete, the only interesting unitary representation for a non-compact Lie group are infinite dimensional. On the other hand for a compact Lie group we have a nicer result:
Theorem. Let be a unitary irreducible representation (UIR from now on) of a compact Lie group , acting on , Hilbert space. Then is finite dimensional. Moreover, every unitary representation of is a direct sum of UIRs (the sum may be infinite).
This is a way of a approaching representation by considering a representation from a Lie subgroup and “inducing” from it a representation for a Lie group . We will want to use this approach for computing irreps for a group that is a semi-direct product of two groups.
Given a representation for , the induced representation of over , usually written is by definition:
A more geometrical approach to induced representations is the following. Taken , and as before, define the homogeneous vector bundle over by :
G \times_H V = G \times V / \tilde
where \tilde
is the following equivalence relation:
The two definitions are the same when we identify the functions in as sections of the homogeneous vector bundle.
Theorem Let be a Lie group, a closed subgroup of , and a representation of . There is a linear bijection between and .
Proof. We produce the two applications explicitly. Given a section , let be . Conversely, given , let be . These maps are well defined and one is the inverse of the other.
Remark two fundamental facts by definition: 1. the “bigger” the group, the “smallest” is the dimensionality of the induced representation. For example if and , it results that is an enormous one. 1. A priori, even if the representation of is irreducible, we can’t state anything on the irreducibility of .
A partial solution to point 2. is given by the following:
Theorem. Leg be a group and a closed subgroup of . If is a representation of and is a representation of , then as vector spaces:
where is the representation with the same action of but restricted to the elements of .
to be continued
We conclude this overview on Lie groups representation by describing the irreps for the general linear group of a vector space . We need to introduce the concept of Young diagram and the Weyl construction.
Let be the group of symmetries of elements. We know that we can write as sum of integer in combinations. To each of writing we can associate a Young diagram: say the partition of such that then a Young diagram for this partition is
with boxes in the i-th row, lined up on the left. We define the conjugate partition associated to , the partition of the Young diagram reflected in the degree line. For example given the Young diagram in picture, associated to , by reflecting, we obtain the conjugate partition .
By choosing a numeration from to of the boxes of a Young diagram, we obtain a Young tableau:
The tableau defines two subgroup of
Recall that an algebra could be associated to a finite group.
Definition. Given a finite group , we define the group algebra over a field , the vector space with basis one for each and with product:
By and we define we define two elements in the group algebra :
Given a vector space , the group algebra acts on , by permuting the factors of the tensor product. In particular we can calculate the images of and as endomorphisms of :
where is the conjugate partition of . We set
This is called the Young symmetrizer. For example given , and ; given , and . In general, given a vector space, and its general linear group, we define:
The functor is called the Schur functor or simply Weyl construction. Each is a representation for , moreover one can prove that it is irreducible. This is summarized in the following theorem.
Theorem.. Let . Then is zero if , then
The theorem furnish us many of the irreps for . We cannot obtain all the finite irreducible representation for since the dual of each is excluded. The way to the complete classification is to introduce the k-th power of the determinant , with . By tensoring with we can define any even if for some . By a simple tensor product property we have:
then if some we define:
The following theorem guarantees that we exhaust all possibilities for finite dimensional irreducible representation.
Theorem. Every finite dimensional, irreducible and complex representation of is isomorphic to for a unique index with .