All Study Guides Representation Theory Unit 2
🧩 Representation Theory Unit 2 – Linear Representations of GroupsLinear representations of groups map group elements to invertible matrices, preserving the group operation. This powerful tool allows us to study abstract groups using concrete linear algebra techniques, bridging algebra and geometry.
Key concepts include characters, irreducible representations, and Schur's Lemma. These ideas form the foundation for decomposing representations, constructing character tables, and analyzing group actions in various mathematical and physical contexts.
Key Concepts and Definitions
Linear representation maps group elements to invertible matrices while preserving the group operation
Character of a representation χ ( g ) \chi(g) χ ( g ) equals the trace of the matrix representing group element g g g
Irreducible representation cannot be decomposed into smaller representations
Fundamental building blocks for constructing all representations of a group
Schur's Lemma states that any linear map between irreducible representations is either zero or an isomorphism
Maschke's Theorem guarantees that every representation of a finite group can be decomposed into irreducible representations
Regular representation ρ G \rho_G ρ G acts on the group algebra C [ G ] \mathbb{C}[G] C [ G ] by right multiplication
Tensor product V ⊗ W V \otimes W V ⊗ W of two representations creates a new representation acting on the tensor product space
Direct sum V ⊕ W V \oplus W V ⊕ W of two representations creates a new representation acting on the direct sum space
Group Theory Foundations
Group G G G consists of a set with a binary operation satisfying closure, associativity, identity, and inverse properties
Abelian groups (commutative) satisfy g h = h g gh = hg g h = h g for all g , h ∈ G g, h \in G g , h ∈ G
Subgroup H ≤ G H \leq G H ≤ G is a subset closed under the group operation and inverse
Lagrange's Theorem states that the order of a subgroup divides the order of the group
Cosets g H = { g h : h ∈ H } gH = \{gh : h \in H\} g H = { g h : h ∈ H } partition the group into disjoint sets of equal size
Normal subgroup N ⊴ G N \trianglelefteq G N ⊴ G satisfies g N g − 1 = N gNg^{-1} = N g N g − 1 = N for all g ∈ G g \in G g ∈ G
Quotient group G / N G/N G / N formed by cosets of a normal subgroup is itself a group
Homomorphism φ : G → H \varphi: G \to H φ : G → H preserves the group operation, i.e., φ ( g 1 g 2 ) = φ ( g 1 ) φ ( g 2 ) \varphi(g_1g_2) = \varphi(g_1)\varphi(g_2) φ ( g 1 g 2 ) = φ ( g 1 ) φ ( g 2 )
Isomorphism is a bijective homomorphism, denoted G ≅ H G \cong H G ≅ H
Vector Spaces and Linear Algebra Review
Vector space V V V over field F \mathbb{F} F satisfies closure under addition and scalar multiplication
Subspace W ≤ V W \leq V W ≤ V is a subset closed under vector addition and scalar multiplication
Linear independence means a set of vectors has no non-trivial linear combination equal to zero
Basis is a linearly independent spanning set for a vector space
Dimension dim ( V ) \dim(V) dim ( V ) equals the number of vectors in any basis
Linear map (transformation) T : V → W T: V \to W T : V → W preserves vector addition and scalar multiplication
Kernel ker ( T ) = { v ∈ V : T ( v ) = 0 } \ker(T) = \{v \in V : T(v) = 0\} ker ( T ) = { v ∈ V : T ( v ) = 0 } and image im ( T ) = { T ( v ) : v ∈ V } \text{im}(T) = \{T(v) : v \in V\} im ( T ) = { T ( v ) : v ∈ V } are subspaces
Matrix representation [ T ] B C [T]_\mathcal{B}^\mathcal{C} [ T ] B C of a linear map depends on the choice of bases B \mathcal{B} B and C \mathcal{C} C
Eigenvalues λ \lambda λ and eigenvectors v v v satisfy A v = λ v Av = \lambda v A v = λ v for a square matrix A A A
Linear Representations: Introduction
Linear representation ( V , ρ ) (V, \rho) ( V , ρ ) of a group G G G consists of a vector space V V V and a homomorphism ρ : G → GL ( V ) \rho: G \to \text{GL}(V) ρ : G → GL ( V )
ρ ( g ) \rho(g) ρ ( g ) is an invertible linear map on V V V for each g ∈ G g \in G g ∈ G
Homomorphism property: ρ ( g 1 g 2 ) = ρ ( g 1 ) ρ ( g 2 ) \rho(g_1g_2) = \rho(g_1)\rho(g_2) ρ ( g 1 g 2 ) = ρ ( g 1 ) ρ ( g 2 ) for all g 1 , g 2 ∈ G g_1, g_2 \in G g 1 , g 2 ∈ G
Degree of a representation is the dimension of the vector space V V V
Faithful representation ρ \rho ρ is injective, i.e., ρ ( g ) = I \rho(g) = I ρ ( g ) = I if and only if g = e g = e g = e
Equivalent representations ( V , ρ ) (V, \rho) ( V , ρ ) and ( W , ψ ) (W, \psi) ( W , ψ ) satisfy ψ ( g ) = T ρ ( g ) T − 1 \psi(g) = T\rho(g)T^{-1} ψ ( g ) = Tρ ( g ) T − 1 for some invertible map T : V → W T: V \to W T : V → W
Character tables can distinguish non-equivalent representations
Trivial representation maps every group element to the identity matrix
Permutation representation acts on a set X X X by permuting its elements according to the group action
Character Theory
Character χ ρ ( g ) = tr ( ρ ( g ) ) \chi_\rho(g) = \text{tr}(\rho(g)) χ ρ ( g ) = tr ( ρ ( g )) is the trace of the matrix representing g g g in representation ρ \rho ρ
Characters are class functions, constant on conjugacy classes
Irreducible characters form an orthonormal basis for the space of class functions under the inner product ⟨ χ , ψ ⟩ = 1 ∣ G ∣ ∑ g ∈ G χ ( g ) ψ ( g ) ‾ \langle \chi, \psi \rangle = \frac{1}{|G|} \sum_{g \in G} \chi(g)\overline{\psi(g)} ⟨ χ , ψ ⟩ = ∣ G ∣ 1 ∑ g ∈ G χ ( g ) ψ ( g )
Character table organizes characters of irreducible representations as columns and conjugacy classes as rows
Number of irreducible representations equals the number of conjugacy classes
Orthogonality relations: ∑ g ∈ G χ i ( g ) χ j ( g ) ‾ = ∣ G ∣ δ i j \sum_{g \in G} \chi_i(g)\overline{\chi_j(g)} = |G|\delta_{ij} ∑ g ∈ G χ i ( g ) χ j ( g ) = ∣ G ∣ δ ij and ∑ i χ i ( g ) χ i ( h ) ‾ = ∣ C G ( g ) ∣ δ g h \sum_i \chi_i(g)\overline{\chi_i(h)} = |C_G(g)|\delta_{gh} ∑ i χ i ( g ) χ i ( h ) = ∣ C G ( g ) ∣ δ g h
Regular character χ reg ( e ) = ∣ G ∣ \chi_\text{reg}(e) = |G| χ reg ( e ) = ∣ G ∣ and χ reg ( g ) = 0 \chi_\text{reg}(g) = 0 χ reg ( g ) = 0 for g ≠ e g \neq e g = e
Induced character χ ρ G ( g ) = 1 ∣ H ∣ ∑ x ∈ G , x g x − 1 ∈ H χ ρ ( x g x − 1 ) \chi_\rho^G(g) = \frac{1}{|H|} \sum_{x \in G, xgx^{-1} \in H} \chi_\rho(xgx^{-1}) χ ρ G ( g ) = ∣ H ∣ 1 ∑ x ∈ G , xg x − 1 ∈ H χ ρ ( xg x − 1 ) lifts a character from a subgroup H H H to G G G
Irreducible Representations
Irreducible representation (irrep) V V V has no non-trivial subrepresentations
Every representation decomposes into a direct sum of irreps
Schur's Lemma implies that any intertwining map (morphism of representations) between irreps is either zero or an isomorphism
Corollary: irreps are determined up to isomorphism by their characters
Regular representation ( C [ G ] , ρ reg ) (\mathbb{C}[G], \rho_\text{reg}) ( C [ G ] , ρ reg ) decomposes as C [ G ] ≅ ⨁ i V i ⊕ dim V i \mathbb{C}[G] \cong \bigoplus_i V_i^{\oplus \dim V_i} C [ G ] ≅ ⨁ i V i ⊕ d i m V i , summing over all irreps V i V_i V i
Tensor product V ⊗ W V \otimes W V ⊗ W of irreps may decompose into a direct sum of irreps
Clebsch-Gordan coefficients express this decomposition explicitly
Restriction Res H G ( ρ ) \text{Res}_H^G(\rho) Res H G ( ρ ) of a G G G -representation to a subgroup H H H is a representation of H H H
Induced representation Ind H G ( ρ ) \text{Ind}_H^G(\rho) Ind H G ( ρ ) lifts an H H H -representation to a G G G -representation
Frobenius reciprocity relates restriction and induction: Hom G ( Ind H G ( V ) , W ) ≅ Hom H ( V , Res H G ( W ) ) \text{Hom}_G(\text{Ind}_H^G(V), W) \cong \text{Hom}_H(V, \text{Res}_H^G(W)) Hom G ( Ind H G ( V ) , W ) ≅ Hom H ( V , Res H G ( W ))
Applications and Examples
Dihedral group D 2 n D_{2n} D 2 n of symmetries of a regular n n n -gon has n / 2 + 3 n/2 + 3 n /2 + 3 conjugacy classes (for even n n n )
Irreps are the trivial, sign, and 2-dimensional rotation representations
Quaternion group Q 8 = { ± 1 , ± i , ± j , ± k } Q_8 = \{\pm 1, \pm i, \pm j, \pm k\} Q 8 = { ± 1 , ± i , ± j , ± k } has 5 conjugacy classes and 5 irreps (4 linear and 1 of degree 2)
Symmetric group S n S_n S n acts on C n \mathbb{C}^n C n by permuting coordinates (permutation representation)
Irreps are indexed by integer partitions of n n n (Young diagrams)
Unitary group U ( n ) U(n) U ( n ) acts on C n \mathbb{C}^n C n preserving the Hermitian inner product
Irreps correspond to symmetric tensor powers of the standard representation
Compact Lie groups (matrix groups) have finite-dimensional irreps
Representation theory extends to infinite dimensions for other Lie groups
Fourier analysis on finite abelian groups G G G decomposes functions f : G → C f: G \to \mathbb{C} f : G → C using characters χ \chi χ
Fourier transform f ^ ( χ ) = ∑ g ∈ G f ( g ) χ ( g ) ‾ \hat{f}(\chi) = \sum_{g \in G} f(g)\overline{\chi(g)} f ^ ( χ ) = ∑ g ∈ G f ( g ) χ ( g ) and inversion formula f ( g ) = 1 ∣ G ∣ ∑ χ f ^ ( χ ) χ ( g ) f(g) = \frac{1}{|G|} \sum_\chi \hat{f}(\chi)\chi(g) f ( g ) = ∣ G ∣ 1 ∑ χ f ^ ( χ ) χ ( g )
Advanced Topics and Extensions
Projective representations are homomorphisms into the projective linear group PGL ( V ) \text{PGL}(V) PGL ( V )
Cohomology theory classifies projective representations up to equivalence
Modular representation theory studies representations over fields of positive characteristic
Decomposition into irreps may fail, but indecomposable representations exist
Unitary representations on Hilbert spaces are important in quantum mechanics and harmonic analysis
Stone-von Neumann Theorem classifies irreps of the Heisenberg group
Representations of algebras (e.g., Lie algebras, Hopf algebras) generalize group representations
Representations of s l 2 ( C ) \mathfrak{sl}_2(\mathbb{C}) sl 2 ( C ) are crucial in physics and combinatorics
Category-theoretic viewpoint: representation theory as the study of functors from groups (or algebras) to vector spaces
Deligne's Theorem on tensor categories classifies certain representation categories
Langlands program relates representation theory of Lie groups to automorphic forms and number theory
Reciprocity laws and functoriality conjectures connect different areas of mathematics
Geometric representation theory studies actions of groups on algebraic varieties
Borel-Weil Theorem realizes irreps as sections of line bundles over flag varieties