Representation Theory
Groups and algebras studied through the matrices they become. Start with the symmetries of a triangle and end with quivers, which have no group at all: Schur and Maschke, characters, the Fourier transform as the abelian case, induction, Young diagrams, the first Lie algebra , and Gabriel's theorem. Every module has numbered examples and a long list of exercises, with the important ones starred.
Follows P. Etingof, O. Golberg, S. Hensel, T. Liu, A. Schwendner, D. Vaintrob and E. Yudovina, Introduction to Representation Theory (lecture notes, 2011; AMS Student Mathematical Library 59), Chapters 1β5, with the Lie material from B. C. Hall, An Elementary Introduction to Groups and Representations (arXiv:math-ph/0005032, 2000), Chapter 5. Section and result numbers refer to those texts. The layout follows Bogachev's Measure Theory: numbered examples with their proofs, then many exercises with hints. β marks the exercises worth doing first, and each list can be filtered to those. The examples and exercises are written for this page. For how this subject connects to the others, see the roadmap.
Representations: groups acting by matrices
A representation turns each element of a group into an invertible matrix, so that multiplying in the group becomes multiplying matrices. You then study the group with linear algebra, where every tool is available: eigenvalues, traces, invariant subspaces, bases.
The idea
Explore: three representations of the triangle's symmetries
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Representation
- A rule that assigns a matrix to every element of a group, so that doing two group operations in a row corresponds to multiplying their matrices.
- Group algebra
- Formal combinations of group elements with coefficients, multiplied using the group law. Matrix pictures of the group are exactly the matrix pictures of this bigger object.
- Subrepresentation
- A subspace that every group element maps back into itself, like the line of constant vectors when the group permutes coordinates.
- Irreducible
- Describes a nonzero representation with no invariant subspaces except zero and the whole space: it can't be cut into smaller pieces at all.
- Indecomposable
- Describes a representation that can't be split as a direct sum of two smaller invariant pieces, although it may still contain a smaller invariant piece with no invariant complement.
- Intertwiner
- A linear map between two representations that commutes with the group action: acting by and then mapping gives the same result as mapping and then acting.
- Permutation representation
- The representation you get when a group shuffles a finite set: each element becomes the matrix that shuffles the basis vectors the same way.
Examples
Every group has the trivial representation on . The symmetric group also has the sign representation , a different 1-dimensional representation when .
acts on by permuting coordinates: . The line spanned by is a subrepresentation (a copy of the trivial one), and so is the hyperplane , the standard representation of dimension . Over (or any field of characteristic not dividing ), . In the figure, the matrices are this representation of , and the ones are in a rotated basis.
Let act on by . The line is invariant, so is not irreducible. An invariant line is an eigenline of , and has only the eigenline . So no invariant complement exists, and is indecomposable.
acts on with the generator rotating by . For a rotation has no real eigenvector, so this real representation is irreducible. Over the same matrix has eigenvectors with eigenvalues , and the representation splits into two 1-dimensional ones.
If acts on a set , it acts on functions by ; the inverse makes (Check your understanding, question 2). For finite this is the permutation representation again. For a sphere and , it is the representation whose irreducible pieces are the spherical harmonics. Most representations in nature arise this way.
acting on itself by left multiplication gives the permutation representation on , of dimension . It will turn out to contain every irreducible representation of a finite group, each as many times as its dimension (module 3).
A representation of the polynomial algebra is a vector space with one linear operator . Isomorphism is similarity of operators, so the classification of finite-dimensional representations is the Jordan normal form: the indecomposables are the Jordan blocks , and the irreducibles are only the blocks. Here the two basic problems have visibly different answers.
Check your understanding
The representation of on is:
- irreducible.The line spanned by is invariant.
- indecomposable but not irreducible.
- a direct sum of two 1-dimensional representations.That would need two independent invariant lines, i.e. two independent eigenvectors of .
Why does the action on functions use rather than ?
- So that each is invertible.Both formulas give invertible maps.
- So that ; with the order of multiplication comes out reversed.
- It makes no difference.Compute both ways for a non-abelian group.
The rotation-by- representation of on is:
- irreducible, as it is over .Over the rotation matrix has eigenvectors.
- a direct sum of two 1-dimensional representations, with the generator acting by and by .
- indecomposable but not irreducible.The rotation is diagonalizable over .
Exercises
Exercise 1.1Group representations are group algebra modules
Show that representations of on correspond exactly to representations of the group algebra on , and that intertwiners are the same on both sides.
Hint
Extend linearly; in the other direction, restrict to the basis elements .
Solution
Given , define . It is linear, sends to , and is multiplicative on basis elements, hence on all of by bilinearity. Conversely, an algebra homomorphism gives , which is invertible with inverse , and multiplicative. A linear map commutes with every exactly when it commutes with every linear combination of them.
Exercise 1.2The standard representation is irreducible
Let and (Example 1.2). Show that is irreducible.
Hint
Take a nonzero in an invariant subspace , and compare with .
Solution
Let be invariant and , . Not all coordinates of are equal (they would be a common with , so ). Pick . Then , so . Applying permutations, every is in , and these span . So .
Exercise 1.3A non-split extension
In Example 1.3, show that the quotient is the trivial representation, so is "trivial on top of trivial" without being trivial.
Hint
modulo .
Exercise 1.4Representations of
(1) Over , show every finite-dimensional representation of is , where acts by on and on . (2) Over a field of characteristic 2, show that is a representation that does not split.
Hint
(1) . (2) In characteristic 2, .
Solution
(1) The maps satisfy , , , and commute with , so with on the pieces. (2) The square is the identity, so this is a representation. Its only eigenline is , as in Example 1.3, so it has no invariant complement. Dividing by 2 in (1) is exactly what fails: this is the first sign of Maschke's theorem (module 2).
Exercise 1.5The dual representation
Show that defines a representation on , and that in general does not.
Hint
Transposition reverses products: . The inverse reverses them back.
Exercise 1.6Kernels and images of intertwiners
Show that the kernel and the image of an intertwiner are subrepresentations of and . (This is the whole engine of Schur's lemma in module 2.)
Hint
If then .
Solution
If , then , so . If , then .
Exercise 1.7Invariants of a permutation representation
acts on a finite set . Show that the invariant vectors in the permutation representation are the functions constant on orbits, so is the number of orbits.
Hint
is invariant when for all .
Solution
is invariant iff for all , i.e. takes one value on each orbit. The indicator functions of the orbits form a basis of these functions. Combined with module 3 this gives Burnside's counting lemma (Example 3.7).
Exercise 1.8One-dimensional representations
Show that every 1-dimensional representation of is trivial on the commutator subgroup , so 1-dimensional representations of are those of . Given that for , deduce that the trivial and sign representations are the only 1-dimensional representations of over .
Hint
is abelian, so . has two characters.
Exercise 1.9Same matrices, different representations
Show that the 2-dimensional representations and of have the same characteristic polynomial for every but are not isomorphic. (For finite groups over this cannot happen: module 3.)
Hint
An isomorphism would conjugate to .
Schur's lemma and Maschke's theorem
Two short results carry most of the theory of finite groups. Schur's lemma says there are almost no maps between irreducible representations. Maschke's theorem says every representation of a finite group over is a direct sum of irreducible ones. Together they reduce everything to a list of irreducibles and their multiplicities.
The idea
The proof is two lines (Exercise 2.1): kernels and images of intertwiners are subrepresentations, and an eigenvalue of makes an intertwiner that is not injective, hence zero.
The proof averages over the group. Take any linear projection of onto , and replace it by . This is still a projection onto , and it is an intertwiner, so its kernel is an invariant complement (Exercise 2.3). The division by is where the characteristic enters.
Explore: averaging an inner product
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Schur's lemma
- Between two irreducible pieces, a map that respects the action is either zero or an isomorphism; from an irreducible piece to itself over the complex numbers, it can only be multiplication by a number.
- Maschke's theorem
- For a finite group, as long as you can divide by its order, every invariant subspace has an invariant complement, so every representation breaks into irreducible pieces.
- Complete reducibility
- The property of breaking completely into a direct sum of irreducible pieces.
- Averaging over the group
- Replacing any object (a projection, an inner product) by the mean of all its transforms under the group, which produces something the group leaves unchanged.
- Unitary representation
- One in which every group element preserves lengths and angles for some fixed inner product. Then the perpendicular space to an invariant subspace is invariant too.
- Central character
- The scalar by which each element of the centre of the group acts on an irreducible complex representation.
Examples
Every irreducible complex representation of is 1-dimensional (Exercise 2.2), so it is determined by the image of the generator, an th root of unity. The irreducibles are with , : exactly of them.
The rotation representation of on is irreducible over , but every matrix commutes with the rotation. So its intertwiners form a copy of , not just the real scalars. Over , Schur's lemma only says that the intertwiners form a division algebra (Exercise 2.7).
Over , acts on by , well defined because . As in Example 1.3, is invariant with no invariant complement.
In the permutation representation of on , start from the non-invariant projection onto the line . Averaging gives , the orthogonal projection, whose kernel is the standard representation .
In the dihedral group of the square, the rotation by is central. On the 2-dimensional representation by symmetries of the square it acts by , and on each of the four 1-dimensional ones by . Schur's lemma predicts exactly this: central elements act by scalars on irreducibles.
The circle acts on continuous functions on the circle by rotation. Averaging with respect to arc length (Haar measure) makes the action unitary for , and the irreducible pieces are the lines spanned by . Decomposing a function into them is its Fourier series (module 4).
Check your understanding
is an irreducible complex representation of a finite group, and commutes with every . Then:
- for some .
- is invertible. commutes with everything.
- is diagonalizable but may have several eigenvalues.Each eigenspace of would be a subrepresentation.
In the averaging proof of Maschke's theorem, which step needs the characteristic of not to divide ?
- Checking that commutes with .That is reindexing the sum, valid in any characteristic.
- Checking that is the identity on : the sum of identity maps must be divided by .
- Choosing a linear projection onto .That exists over any field.
Is every finite-dimensional complex representation of a direct sum of irreducible ones?
- Yes, by Maschke's theorem.Maschke's theorem is for finite groups.
- No: Example 1.3 is a counterexample.
Exercises
Exercise 2.1Prove Schur's lemma
Prove both statements of Schur's lemma.
Hint
Use Exercise 1.6. For the second part, take an eigenvalue of .
Solution
Let be a nonzero intertwiner. is a subrepresentation of , not all of , so it is ; is a nonzero subrepresentation of , so it is . Hence is an isomorphism. For over an algebraically closed field with , has an eigenvalue . Then is an intertwiner with nonzero kernel, so by the first part it is .
Exercise 2.2Abelian groups have 1-dimensional irreducibles
Show that every finite-dimensional irreducible complex representation of an abelian group is 1-dimensional.
Hint
Each commutes with all .
Solution
Since is abelian, each is an intertwiner , so by Schur's lemma . Then every subspace is invariant, and irreducibility forces .
Exercise 2.3Prove Maschke's theorem
Let be a linear projection of onto an invariant subspace , and . Show that is an intertwiner, that , that , and conclude that is an invariant complement of .
Hint
For the intertwining property, substitute in the sum.
Solution
. For , , so and each term gives ; hence . Each term maps into , so , with equality by the previous step. So is a projection onto , , and is invariant by Exercise 1.6.
Exercise 2.4The unitary trick
For a finite group acting on , show that is an inner product, that every is unitary for it, and that the -orthogonal complement of an invariant subspace is invariant.
Hint
Positivity: each term is and the term is . Invariance: reindex by .
Exercise 2.5Two-dimensional representations of over
Classify the 2-dimensional representations of over up to isomorphism.
Hint
means in characteristic 2. So is either or a nilpotent of rank 1. Answer: two classes, and .
Exercise 2.6Irreducibles are quotients of the regular representation
Let be irreducible and nonzero. Show that is a surjective intertwiner . Deduce for finite .
Hint
Its image is a nonzero subrepresentation.
Solution
, so the map intertwines left multiplication on with the action on . Its image contains and is a subrepresentation (Exercise 1.6), hence all of . So .
Exercise 2.7Schur's lemma over
Show that the intertwiners of an irreducible real representation with itself form a division algebra. Using Frobenius's theorem (every finite-dimensional real division algebra is , or the quaternions ), find a representation for each case.
Hint
A nonzero intertwiner is invertible by the first part of Schur's lemma. Examples: the trivial representation (); rotation by of on (, Example 2.2); the quaternion group acting on by left multiplication (right multiplications by commute with it).
Exercise 2.8Faithful irreducibles force a cyclic centre
Show that the centre of a finite group acts by scalars on each irreducible complex representation. Deduce that if has a faithful irreducible complex representation, then is cyclic.
Hint
Schur's lemma gives a homomorphism , injective if is faithful. Finite subgroups of are cyclic.
Characters and orthogonality
The trace of each matrix, one number per group element, turns out to determine a representation of a finite group completely. The irreducible characters are orthonormal, so decomposing a representation is computing inner products, the way you find coordinates in an orthonormal basis.
The idea
Explore: a character table workbench
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Character
- The list of traces of a representation's matrices, one number per group element. For finite groups over the complex numbers it pins the representation down completely.
- Class function
- A function on a group that takes the same value on elements that are conjugate to each other.
- Conjugacy class
- All the elements you can get from one element as : the elements that "do the same thing in a different frame".
- Character table
- A square grid with one row for each irreducible representation and one column for each class of conjugate elements, filled with traces.
- Multiplicity
- How many times a given irreducible piece occurs when a representation is broken up; computed as an inner product of traces.
- Regular representation
- The group acting on formal combinations of its own elements by multiplying on the left. Every irreducible piece appears in it as many times as its dimension.
Examples
Classes: , the three transpositions, the two 3-cycles, so there are three irreducibles, and forces dimensions . The trivial and sign characters are and . The 2-dimensional one, from Example 1.2, is the permutation character minus the trivial one: .
For , . Its inner products with the three rows are , and , so : the symmetric square minus its trivial part, and the alternating square.
and otherwise (left multiplication by fixes no element). So . For : , dimension .
The dihedral group of the square and the quaternion group both have order 8, five classes, irreducible dimensions , and literally the same character table (try both in the workbench). They are not isomorphic: has five elements of order 2, only one. The character table does not determine the group.
has classes , the three double transpositions, and two classes of four 3-cycles each ( is not conjugate to inside ). Its quotient by the Klein four-group is , giving characters and , and the rotations of a tetrahedron give a 3-dimensional irreducible with character . Then .
The rotation representation of has , so it is irreducible, with no need to look for invariant subspaces.
By Exercise 1.7 and orthogonality, the number of orbits of on a finite set is . The rotations of a square acting on the black-and-white colourings of its corners fix colourings, so there are colourings up to rotation.
Check your understanding
A representation has . Then it is:
- a sum of three non-isomorphic irreducibles, each appearing once.
- three copies of one irreducible.That gives .
- irreducible of dimension 3.Irreducible means , whatever the dimension.
How many irreducible complex representations does have?
- 4Count the cycle types of permutations of four letters.
- 5
- 24That is , not the number of irreducibles.
A non-abelian group of order 8 has how many 1-dimensional representations?
- 8Then all irreducibles would be 1-dimensional and the group abelian (Exercise 3.10).
- 4
- 2Then would have to be a sum of squares of dimensions dividing 8.
Exercises
Exercise 3.1Inverses and complex conjugates
For a finite group over , show that and .
Hint
, so is diagonalizable with eigenvalues that are roots of unity.
Solution
satisfies , which has distinct roots, so it is diagonalizable with eigenvalues , . Then , and .
Exercise 3.2Prove orthogonality
(1) Show that is a projection of onto the invariants , so . (2) Apply (1) to to prove .
Hint
The invariants of under are the intertwiners.
Solution
(1) satisfies , so its image is invariant, it is the identity on , and . The trace of a projection is the dimension of its image. (2) acts on by , with fixed points and character by Exercise 3.1. Apply (1).
Exercise 3.3The irreducibility test
Show that is irreducible if and only if , and that two representations with the same character are isomorphic.
Hint
Write and use orthonormality of the .
Solution
By Maschke, , so and (by Exercise 3.2 and Schur's lemma, ). This is 1 exactly when one is 1 and the rest are 0. The multiplicities are read off from the character, and they determine .
Exercise 3.4The two groups of order 4
Write down the character tables of and , and show they cannot be made equal by reordering rows and columns.
Hint
has characters with values ; every character of takes values . So, unlike Example 3.4, here the tables tell the groups apart.
Exercise 3.5Sum of squares of dimensions
Prove that the regular representation contains each irreducible exactly times, and deduce .
Hint
Example 3.3.
Solution
Left multiplication by moves every basis element, so , while . The multiplicity is . Comparing dimensions, .
Exercise 3.6Build the table of
Construct the character table of (classes , , , , , of sizes ) from: the trivial and sign characters; the standard representation (permutation character minus trivial); its tensor product with sign; and the 2-dimensional representation pulled back along (the action on the three ways of pairing up four letters).
Hint
Rows: , , , , . Check each with the irreducibility test and against the workbench.
Exercise 3.7A tensor square in
Let be the 3-dimensional standard representation of . Decompose .
Hint
. The inner products give , dimensions . Compare with "standard β standard" in the workbench.
Exercise 3.8Counting necklaces
Using Example 3.7, count the necklaces of 6 beads in 2 colours up to rotation.
Hint
Rotation by places fixes colourings: .
Exercise 3.9Column orthogonality
Show that equals if and are conjugate and otherwise.
Hint
The matrix , over irreducibles and classes , is square with orthonormal rows, hence unitary, so its columns are orthonormal too. Use for .
Exercise 3.10All irreducibles 1-dimensional means abelian
Show that if every irreducible complex representation of a finite group is 1-dimensional, then is abelian.
Hint
Then the regular representation is a sum of 1-dimensional pieces: in a suitable basis all are diagonal, so they commute. The regular representation is faithful.
Abelian groups and the Fourier transform
For an abelian group every irreducible representation is 1-dimensional, and breaking the space of functions on the group into those pieces is exactly the Fourier transform. The discrete Fourier transform, Fourier series and the Fourier integral are the same theorem for three different groups.
The idea
Explore: a signal and its Fourier transform on
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Dual group
- The collection of all "pure frequencies" of an abelian group (homomorphisms to the unit circle), which is itself a group under pointwise multiplication.
- Fourier transform
- Writing a function on a group as a combination of pure frequencies, and recording how much of each frequency it contains.
- Plancherel identity
- The total energy of a signal equals the total energy of its frequency components (with the right normalisation): nothing is lost or gained by changing to frequencies.
- Convolution
- Sliding one function along another and adding up the products: a weighted moving average. In frequencies it becomes plain multiplication.
- Circulant matrix
- A square matrix in which each row is the previous row shifted one place to the right, wrapping around. All of them share the same eigenvectors, the pure frequencies.
- PeterβWeyl theorem
- The version of Fourier analysis for compact groups that need not be abelian: functions are expanded using the matrix entries of irreducible representations instead of single frequencies.
Examples
The characters are and , so and : the average and half the difference: the splitting of a representation of into the parts where the generator acts by and by .
For the matrix , , sends to . Orthogonality of characters says is unitary. The fast Fourier transform computes it in steps instead of , by splitting into even and odd residues.
The spike has for every : it contains every frequency equally. The constant 1 has . Concentrated on one side means spread out on the other (Exercise 4.7). Try "spike" in the figure.
Convolving with a box replaces by its average over a window. Its transform is close to 1 for small and small for most large , and vanishes exactly at the with : averaging keeps low frequencies and damps high ones.
For , written multiplicatively as , the characters are for . The transform is the WalshβHadamard transform, the basic tool of the analysis of Boolean functions. For example .
On the circle, , and Plancherel reads . The finite theory has no convergence questions; on the circle, whether and in what sense converges back to is the subject of Grafakos Chapters 3 and 4.
Check your understanding
Why does the discrete Fourier transform diagonalize every circulant matrix?
- Circulant matrices commute with translation, i.e. they intertwine the regular representation of , and each character spans its own 1-dimensional piece, so each is an eigenvector.
- Because circulant matrices are symmetric.Most are not, e.g. the shift itself.
- Because the DFT matrix is unitary.Unitarity alone doesn't make it diagonalize anything in particular.
How many characters does have?
- 6That is ; characters of a product are products of characters.
- 8
- 4An abelian group has as many characters as elements.
Exercises
Exercise 4.1Characters are an orthonormal basis
For a finite abelian group, show directly that distinct characters are orthonormal for , that there are of them, and hence that Fourier inversion holds.
Hint
If , then is a nontrivial character ; pick with and compare with . For the count, use with all .
Solution
since . If is nontrivial, satisfies with , so . By Schur's lemma (Exercise 2.2 on the representation theory page) all irreducibles are characters, and gives of them. orthonormal functions in a -dimensional space are a basis, and the coefficient of in is .
Exercise 4.2The convolution theorem
With the conventions above, prove .
Hint
Substitute and use .
Solution
.
Exercise 4.3Plancherel
Prove , and the polarized form for .
Hint
Expand and use orthonormality.
Solution
, since the inner sum is . The same computation with in the second slot gives .
Exercise 4.4The dual group
Show that is a group under pointwise multiplication, that the dual group of is isomorphic to , and that . Deduce for every finite abelian group (using the structure theorem). Note that the isomorphism is not canonical, while is.
Hint
A character of is determined by , an th root of unity.
Exercise 4.5Eigenvalues of circulant matrices
Let on . Show .
Hint
; substitute .
Solution
, using . So is , and Exercise 4.2 is the same statement.
Exercise 4.6Majority on three bits
Verify the expansion of in Example 4.5 by computing for every .
Hint
By symmetry the coefficients depend only on ; even-size sets give 0 because .
Exercise 4.7An uncertainty principle
Show that for on a finite abelian group, . When is it an equality?
Hint
, then Plancherel and . Equality holds for indicator functions of subgroups (and their translates and modulations).
Exercise 4.8Characters of the circle
Show that the continuous homomorphisms are , .
Hint
A continuous homomorphism is (smooth it by integrating: ). Being -periodic forces .
Induced representations and Frobenius reciprocity
Restriction takes a representation of to one of a subgroup . Induction goes the other way, building a representation of from one of . Most irreducible representations are found this way, and Frobenius reciprocity says the two operations are adjoint, so multiplicities can be computed on whichever side is easier.
The idea
Explore: inducing from a cyclic subgroup
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Restriction
- Forgetting most of a group and remembering only how a subgroup acts.
- Induced representation
- A representation of a big group built from one of a subgroup, by placing a copy on each coset and letting the big group shuffle the copies.
- Frobenius reciprocity
- Building up from a subgroup and cutting down to it are mirror images: how often an irreducible appears in the built-up one equals how often the original appears in its cut-down version.
- Coset representatives
- One chosen element from each translate of a subgroup, used as labels for the copies when building a representation of the whole group.
- Monomial representation
- One built from a 1-dimensional representation of a subgroup; in a suitable basis every matrix has exactly one nonzero entry in each row and column.
Examples
is the regular representation, and .
Let and . The formula gives , the 2-dimensional irreducible. (For a 3-cycle , three elements give and three give , so the value is .)
, the nontrivial character. At : the with form , of size 2, so the value is . So .
In Example 5.2, appears once in . On the other side, restricted to is (the rotation of Example 1.4), which contains once. The calculator shows both sides for every choice.
Inducing from to gives the character : the 2-dimensional irreducible. In the basis of the induced representation, acts by and by : one nonzero entry per row and column.
Induce from the index-2 subgroup . Conjugation by an odd permutation swaps the two classes of 3-cycles of , so is on and 0 off it: , the 2-dimensional irreducible of .
Check your understanding
has index 5 and has dimension 3. What is ?
- 3One copy of for each coset.
- 8Dimensions multiply, they don't add.
- 15
. Can be irreducible?
- Yes, if is normal.Look for the trivial representation inside it.
- No: by reciprocity it contains the trivial representation once, and its dimension is .
Exercises
Exercise 5.1The induced character formula
From the description , prove the character formula above.
Hint
maps the block to with ; only blocks with contribute to the trace, i.e. .
Solution
The block is mapped into itself exactly when , and then acts there as acts on . So . Replacing by changes by conjugation in , which doesn't change ; so summing over all counts each coset times. With in place of , this is the stated formula.
Exercise 5.2Prove Frobenius reciprocity for characters
Prove for a class function on and on .
Hint
Insert the formula and substitute .
Solution
Extend by 0 outside and write . Then . For fixed , runs over and . So the sum is .
Exercise 5.3Induction in stages
For , show .
Hint
. Or compare characters using Exercise 5.2 twice and the fact that restriction is transitive.
Exercise 5.4The projection formula
Show .
Hint
Compare characters: .
Solution
, since is a class function on . Equal characters give isomorphic representations (Exercise 3.3).
Exercise 5.5Every irreducible comes from a subgroup
Show that every irreducible of is a constituent of for some irreducible of , for any subgroup .
Hint
Take inside and apply reciprocity.
Exercise 5.6Inducing from an index-2 subgroup
Let and irreducible for . Let be twisted by conjugation by some . Show that is irreducible if , and is a sum of two non-isomorphic irreducibles if . Check it against Example 5.6.
Hint
(Mackey), so .
Exercise 5.7Artin's theorem for
Artin's theorem (Etingof Β§4.25) says every character is a rational combination of characters induced from cyclic subgroups. Write the trivial character of this way.
Hint
: check . Integer coefficients are not always possible (that needs elementary subgroups, Brauer's theorem).
The symmetric group and Young diagrams
For the abstract count "as many irreducibles as conjugacy classes" becomes concrete: both are indexed by partitions of , drawn as Young diagrams. The dimension of each irreducible is a product formula you can compute by hand.
The idea
Explore: hook lengths
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Partition
- A way of writing a whole number as a sum of positive whole numbers listed from largest to smallest, like 4 = 2 + 1 + 1.
- Young diagram
- Rows of boxes, left-justified, each row no longer than the one above: a picture of a way of splitting a number into decreasing parts.
- Hook length
- For one box in the picture: count it, everything to its right in its row, and everything below it in its column.
- Standard Young tableau
- A filling of the boxes with the numbers 1 to , each used once, increasing to the right along rows and downwards along columns.
- Young symmetrizer
- An element of the group algebra that symmetrizes over the rows of a filled diagram and antisymmetrizes over its columns; it cuts out one irreducible piece.
- Branching rule
- When you forget the last letter and look only at permutations of the first , an irreducible splits into the pieces obtained by removing one corner box.
Examples
Partitions , , . Hooks of : , so . Dimensions , matching Example 3.1.
has hooks : . has hooks : . The five dimensions are and .
The standard tableaux of shape have first row and second row , or first row and second row : two of them, matching .
has one corner, and removing it gives : the 2-dimensional irreducible of restricts to the 2-dimensional irreducible of . has two corners, giving and : , matching the permutation representation of inside the standard representation of .
Seven partitions, with dimensions for , and .
The hook gives , of dimension (Exercise 6.4). So the exterior powers of the standard representation are all irreducible.
Check your understanding
How many irreducible representations does have?
- 5Count partitions of 5, not the number 5.
- 7
- 120That is .
is:
- , where is the transposed diagram.
- again.Only when is its own transpose, like .
- reducible.Tensoring with a 1-dimensional representation preserves irreducibility.
Exercises
Exercise 6.1Conjugacy classes are cycle types
Show that , and deduce that two permutations are conjugate exactly when they have the same cycle type.
Hint
Check where both sides send . For the converse, line up the cycles of two permutations of the same type and define by matching entries.
Solution
sends to , and fixes whenever fixes . Applying this to each cycle, conjugation preserves cycle type. Conversely, if and have the same type, write their cycles one above the other with equal lengths aligned, and let send each entry of 's list to the entry below it. Then .
Exercise 6.2The standard representation by hooks
Compute by the hook length formula.
Hint
The corner box has hook ; the rest of the first row has hooks ; the box in the second row has hook 1.
Solution
, so , the dimension of the standard representation of Example 1.2.
Exercise 6.3All irreducibles of
List the 11 partitions of 6 with their dimensions, and check . Use the figure to check your hook lengths.
Hint
Dimensions: .
Exercise 6.4Hooks and binomial coefficients
Show .
Hint
Corner hook ; the rest of the first row ; the column below .
Solution
, so , which is .
Exercise 6.5Branching and dimensions
Show that the branching rule implies over the obtained by removing a corner. Check it for and .
Hint
: from and . : from , , . The same recursion counts standard tableaux by the position of .
Exercise 6.6Transposes and the sign
For , show that the characters of and agree, given that (Example 6.6).
Hint
. With and of cycle types , you get .
Exercise 6.7Characters of are integers
Show that every character value of is an integer, using: and are conjugate when , and a rational number that is an algebraic integer is an integer.
Hint
is a sum of th roots of unity, . Each Galois automorphism of sends to .
Solution
Raising to a power coprime to the order of preserves cycle type, so is conjugate to and . The automorphism of , , sends to . So is fixed by the whole Galois group, hence rational. It is a sum of roots of unity, hence an algebraic integer, hence an integer.
Exercise 6.8Counting standard tableaux by hand
List all standard Young tableaux of shape and check there are 5.
Hint
The first row starts with 1, and 5 sits in a corner. The first rows are .
sl(2) and SU(2): the first Lie example
A Lie group is too big to work with element by element, so you differentiate: a representation of the group gives a representation of its Lie algebra, a few matrices satisfying commutation relations. For the whole classification follows from one observation, that and move weights up and down by 2.
The idea
Explore: weight diagrams and ClebschβGordan
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Lie algebra
- The infinitesimal version of a continuous group: the space of directions you can move in from the identity, with a bracket recording how badly two such motions fail to commute.
- Weight
- An eigenvalue of the diagonal element on a vector; the label that the raising and lowering operators shift by 2.
- Highest weight vector
- A vector that the raising operator kills. Every irreducible piece is generated from one by applying the lowering operator repeatedly.
- Raising and lowering operators
- The two off-diagonal elements, which move a vector up or down the ladder of eigenvalues by two steps.
- ClebschβGordan decomposition
- The rule for splitting the product of two irreducible pieces: dimensions and give one piece of each size from down to , in steps of two.
- Casimir element
- A particular quadratic combination of the basis elements that commutes with everything, so it acts on each irreducible piece by a single number that tells the pieces apart.
- Double cover
- A two-to-one map of groups that is locally an isomorphism, like the map from unit quaternions to rotations of space, under which and give the same rotation.
Examples
is the trivial representation and is the defining one, with weights on .
acts on itself by . The weights of on are , and is a highest weight vector, so this is . Under it is the rotation representation on .
On degree-2 polynomials with basis : has weights ; sends ; sends . Up to rescaling the basis, these are the formulas for .
has weights , so it is : the symmetric tensors (triplet) and the antisymmetric one (singlet).
commutes with (Exercise 7.5), so it is a scalar on each . On : and , so . In physics this is for spin .
acts on homogeneous harmonic polynomials of degree in , a space of dimension . It is irreducible, isomorphic to . Restricted to the sphere these are the spherical harmonics, and the decomposition of functions on the sphere into them is the analogue of Fourier series.
Check your understanding
What are the weights of ?
- Weights are symmetric about 0.
- Weights move in steps of 2, and .
- Dimensions: , but .
- The highest weight is .
Why is not a representation of ?
- maps to the identity rotation but acts on by .
- It is not irreducible.It is irreducible.
- Its dimension is even.Dimension isn't the issue by itself; the kernel of is.
Exercises
Exercise 7.1Raising and lowering
Show that if , then and .
Hint
.
Solution
. Similarly .
Exercise 7.2Classify the irreducibles of
Let be a finite-dimensional irreducible representation. Take a highest weight vector of weight and put . Show , that the nonzero span , and that is a non-negative integer with .
Hint
Induct on with . Let be the last index with and apply the formula to .
Solution
. The nonzero have distinct weights, so they are independent, and their span is invariant under ; by irreducibility it is . If and , then , so . Hence , and all the formulas are forced, which also proves uniqueness. Existence: the polynomial model.
Exercise 7.3The polynomial model
Check that , , satisfy the relations on polynomials in , and that degree- polynomials form a copy of .
Hint
Compute on monomials: , . The monomial is a highest weight vector of weight .
Exercise 7.4Prove ClebschβGordan
Assuming complete reducibility, prove .
Hint
The weights of a tensor product are the sums of weights. A representation is determined by its weight multiplicities, since contributes one vector to each weight .
Solution
acts on by . The multiplicity of weight is the number of with , , : it increases by 1 from up to , then stays constant until the symmetric point. The number of copies of equals (multiplicity of weight ) minus (multiplicity of weight ), which is 1 for and 0 beyond.
Exercise 7.5The Casimir is central
Show that commutes with , and , and conclude that it acts on by .
Hint
Use . Then Schur's lemma and Example 7.5.
Exercise 7.6Representations of
Show that in , that it acts on by , and deduce that the irreducible representations of are exactly the with even, of odd dimension.
Hint
. On , has eigenvalues , and .
Exercise 7.7No nontrivial 1-dimensional representations
Show that every 1-dimensional representation of is zero. (Compare groups, whose 1-dimensional representations factor through the commutator quotient: here .)
Hint
In dimension 1 all brackets vanish, so and .
Exercise 7.8The adjoint representation is irreducible
Show that the adjoint representation of is irreducible, so has no ideals except and itself (it is simple).
Hint
A nonzero invariant subspace contains a weight vector ( acts diagonalizably), and from , or you reach the others by brackets.
Beyond groups: quivers and Gabriel's theorem
A quiver is a directed graph, and a representation puts a vector space at each vertex and a linear map on each arrow. There is no group anywhere, yet the classification of indecomposables brings back exactly the Dynkin diagrams that classify simple Lie algebras. This is the clearest sign that representation theory is a subject in its own right, not a chapter of Lie theory.
The idea
Explore: the Tits form and positive roots
Key terms in plain words
The ideas above without the symbols. Switch to Quiz me to test yourself: you see an explanation and pick the term it describes.
- Quiver
- A finite directed graph, possibly with loops and repeated arrows, used as a blueprint: put a vector space at each dot and a linear map along each arrow.
- Path algebra
- The algebra whose basis is the directed walks in a graph, multiplied by joining walks end to start (and zero when they don't meet).
- Dimension vector
- The list of dimensions of the spaces placed at the dots.
- Finite type
- Describes a graph that admits only finitely many essentially different unsplittable arrangements of spaces and maps.
- Tits form
- The quadratic form "sum of squares of the dimensions, minus the product across each edge". Being positive definite decides whether a graph has only finitely many unsplittable arrangements.
- Dynkin diagram
- One of the graphs on the list A, D, E: a line, a line with a fork at one end, or one of three special trees with six, seven or eight dots.
- Positive root
- A list of non-negative whole numbers, one per dot, on which the quadratic form equals 1; for the A, D, E graphs these are exactly the dimension lists of the unsplittable arrangements.
Examples
One vertex, no arrows: a representation is a vector space, and the only indecomposable is . The positive roots of are .
: a representation is a linear map . Choosing bases with splits it into copies of , plus copies of and . Three indecomposables, dimension vectors , and those are the solutions of with .
For a line of vertices, in any orientation, the indecomposables are the "intervals": at vertices with identity maps between them and elsewhere. There are of them.
A single vertex with a loop: a representation is a vector space with an operator, so the indecomposables are the Jordan blocks (Example 1.7), infinitely many in each dimension. Here , and the loop is not on the Dynkin list.
Two vertices joined by two arrows: pairs of maps , the classical theory of matrix pencils . The representations with maps are pairwise non-isomorphic, and . This graph is , the first of the "extended" diagrams just beyond finite type.
A centre joined to three outer vertices has 12 indecomposables. The largest has dimension vector 2 at the centre and 1 at each outer vertex: . It is three lines in a plane, the representation in which "three subspaces in general position" lives.
Check your understanding
How many indecomposable representations does a quiver of type have?
- 4Those are only the simple ones, one per vertex.
- 10
- Infinitely many. is a Dynkin diagram.
Does reversing some arrows of a quiver change whether it has finite type?
- Yes, in general.Look at Gabriel's theorem again.
- No: finite type depends only on the underlying graph.
Exercises
Exercise 8.1Representations of
Prove the classification in Example 8.2: every representation of is , with , , determined by the representation.
Hint
Rank normal form. The invariants are , , .
Solution
Choose a basis of whose last vectors span ; the images of the first are independent in , and extend them to a basis of . In these bases , which is the stated direct sum. An isomorphism of representations is a pair of invertible maps with , which preserves rank, kernel dimension and cokernel dimension.
Exercise 8.2Quiver representations are path algebra modules
Show that a representation of is the same as a module over the path algebra .
Hint
The length-zero paths are orthogonal idempotents summing to 1; put . An arrow gives a map .
Solution
Given a module , with gives . An arrow from to satisfies , so maps to . Conversely, a representation defines the action of a path as the composite of its maps, and of as the projection onto . Module maps commuting with all and arrows are exactly morphisms of representations.
Exercise 8.3Intervals are roots
For , show that the indicator vector of an interval has , and that every with is of this form.
Hint
. This is a sum of squares that must equal 2 after doubling.
Exercise 8.4The extended diagrams are not of finite type
Show that is not positive definite for a cycle () and for the star with four leaves (), by finding with .
Hint
Cycle: . Star: 2 at the centre and 1 on each leaf.
Solution
For a cycle of vertices with all : . For : . In both cases for all , and one can build a one-parameter family of pairwise non-isomorphic indecomposables of dimension vector , as in Example 8.5.
Exercise 8.5Jordan blocks
For the one-loop quiver, show that and are non-isomorphic for , so there are infinitely many indecomposables of each dimension.
Hint
Isomorphic representations have similar operators, hence the same eigenvalues.
Exercise 8.6The Kronecker family
Show that the representations with maps , , together with , are pairwise non-isomorphic and indecomposable.
Hint
An isomorphism is a pair of nonzero scalars with and , so and . They are indecomposable because the dimension vector can only split as , which would make both maps zero.
Exercise 8.7The roots of
List the 12 positive roots of and check them in the figure.
Hint
With the centre listed first: the four simple roots; at the centre with any non-empty set of leaves (7 vectors); and . That's .
Exercise 8.8Cycles and high degree rule out finite type
Show that if a connected graph contains a cycle, or a vertex of degree at least 4, then it is not of finite type.
Hint
Extending a representation of a subgraph by zero keeps it indecomposable and keeps non-isomorphic ones non-isomorphic. Then use Exercise 8.4 (a vertex of degree at least 4 gives a inside).