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Lie Group Representations (Introduction)

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lie-group compact-group exponential-map continuous-representation peter-weyl

Core Idea

A Lie group is a group that is also a smooth manifold — its elements can vary continuously and the group operations are smooth. Representations of Lie groups are required to be continuous (or smooth) homomorphisms G → GL(V), which is a much stronger constraint than for finite groups. For compact Lie groups (like SO(n), SU(n), U(n)), a complete analogue of finite group theory holds: every representation is completely reducible, characters determine representations, and orthogonality relations hold — with integrals over the group (via Haar measure) replacing finite sums.

Explainer

Lie groups are groups with a manifold structure — they have both algebraic and geometric properties. Examples include GL_n(ℝ) (invertible n×n real matrices), SO(n) (rotations in n dimensions), SU(n) (special unitary matrices), and the circle group U(1) ≅ S¹. A representation of a Lie group is a continuous (equivalently, smooth) homomorphism ρ: G → GL(V). The continuity requirement is the key difference from finite group theory: it eliminates pathological homomorphisms and connects the representation theory to the group's geometry.

The exponential map exp: 𝔤 → G connects the Lie algebra 𝔤 (the tangent space at the identity, with Lie bracket [X,Y] = XY − YX for matrix groups) to the Lie group. A representation ρ: G → GL(V) induces a Lie algebra representation dρ: 𝔤 → 𝔤𝔩(V) defined by dρ(X) = (d/dt)|_{t=0} ρ(exp(tX)). For connected, simply connected groups, the representation theories of G and 𝔤 are equivalent — every Lie algebra representation integrates to a group representation. This reduces many questions to linear algebra on the Lie algebra.

For compact Lie groups, the theory parallels the finite group case remarkably closely. The Haar measure dg (the unique normalized left-invariant measure) replaces the counting measure (1/|G|)Σ. Maschke's theorem holds: every continuous finite-dimensional representation is completely reducible, via the same averaging argument with integrals replacing sums. Schur's lemma, orthogonality relations, and character theory all carry over. The irreducible representations are finite-dimensional and classified by highest weights — a combinatorial datum determined by the group's root system.

The Peter-Weyl theorem is the grand generalization. For a compact Lie group G, the matrix coefficients of all irreducible unitary representations form a complete orthonormal system in L²(G). The Hilbert space L²(G) decomposes as a completed direct sum: L²(G) ≅ ⊕̂ᵢ Vᵢ ⊗ Vᵢ*, where the sum runs over all irreducible representations. This is the infinite-dimensional analogue of ℂ[G] ≅ ⊕ Vᵢ^{dᵢ}. For non-compact groups (like SL_2(ℝ)), the theory is vastly more complicated: irreducible representations can be infinite-dimensional, complete reducibility fails, and the decomposition of L²(G) involves both discrete and continuous spectrum — the Plancherel formula replaces the Peter-Weyl theorem.

Practice Questions 4 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Vectors in Two Dimensions → Vector Operations: Addition, Subtraction, and Scalar Multiplication → Dot Product (Inner Product in R^n) → Matrix Multiplication → Determinants of 2×2 and 3×3 Matrices → Invertible Matrices and Matrix Inverses → Systems of Linear Equations and Matrix Form → Gaussian Elimination and Row Reduction → Row Echelon Form and Back Substitution → The Standard Matrix of a Linear Transformation → Eigenvalues and Eigenvectors → Matrix Representations → Lie Group Representations (Introduction)

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