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Root Systems of Semisimple Lie Algebras

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representation-theory lie-algebras root-systems weyl-group dynkin-diagrams cartan-subalgebra classification

Core Idea

A complex semisimple Lie algebra g decomposes under the adjoint action of a Cartan subalgebra h into h itself plus one-dimensional root spaces g_α, one for each root α in a finite set Φ ⊂ h*. The roots, with the inner product coming from the Killing form, form a root system: a finite spanning set of vectors that is closed under the reflections it defines and whose pairings 2(β, α)/(α, α) are integers. Root systems are rigid enough to classify completely by Dynkin diagrams, giving the four infinite families A_n, B_n, C_n, D_n and the five exceptional types E₆, E₇, E₈, F₄, G₂. This classification of root systems yields the classification of complex simple Lie algebras and organizes their representation theory.

How It's Best Learned

Work out sl₃(ℂ) in full: take h to be the traceless diagonal matrices, find the six roots eᵢ - eⱼ, and draw them as a regular hexagon in the plane. Use copies of sl₂ inside g, one for each pair ±α, to see why the pairings must be integers. Then study the axioms abstractly, list the possible angles between two roots, choose simple roots and build Dynkin diagrams for the rank-two systems A₂, B₂ and G₂ before stating the general classification.

Common Misconceptions

Explainer

The representation theory of sl₂(ℂ) rests on one element h whose eigenvalues, the weights, organize everything. For a general complex semisimple Lie algebra g, the role of h is played by a Cartan subalgebra: a maximal abelian subalgebra consisting of elements that act diagonalizably in the adjoint representation. Since the elements of h commute, they can be diagonalized simultaneously on g. For each linear functional α on h, set g_α = {x ∈ g : [h, x] = α(h)x for all h in h}. The nonzero α with g_α ≠ 0 are the roots, and

g = h ⊕ (direct sum over α ∈ Φ of g_α).

Each root space is one-dimensional, and if α is a root, so is -α.

Take g = sl₃(ℂ), with h the traceless diagonal matrices diag(a₁, a₂, a₃). The matrix unit E_ij with i ≠ j satisfies [h, E_ij] = (aᵢ - aⱼ)E_ij. So the roots are the six functionals eᵢ - eⱼ, and dim g = 2 + 6 = 8. Drawn in the plane a₁ + a₂ + a₃ = 0, they form the vertices of a regular hexagon.

The Killing form gives an inner product on the real span of the roots, and the roots then satisfy four properties. They are finite, span the space, and exclude 0. The only multiples of α in Φ are ±α. The reflection s_α(β) = β - 2(β, α)/(α, α) α maps Φ to itself. And the numbers 2(β, α)/(α, α) are integers. A set with these properties is a root system. The integrality comes from sl₂: each pair ±α spans, together with a coroot in h, a copy of sl₂ inside g, and g becomes a finite-dimensional sl₂-representation whose weights must be integers.

These axioms are very restrictive. Multiplying the two integers 2(β, α)/(α, α) and 2(α, β)/(β, β) gives 4cos²θ, so the angle θ between roots can take only a few values, and length ratios are limited too. Choosing a set of simple roots, from which every root is a sum with all nonnegative or all nonpositive integer coefficients, and recording their angles in a Dynkin diagram, one finds that the irreducible root systems are exactly A_n, B_n, C_n, D_n, E₆, E₇, E₈, F₄ and G₂. The reflections generate a finite group, the Weyl group.

Root systems then organize representations. Weights of any finite-dimensional representation lie in a lattice determined by the roots, and the theorem of the highest weight says that irreducible representations correspond to dominant integral weights.

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 → Combining Small Groups Within 5 → Number Bonds Within 5 → Number Bonds to 10 → Tens and Ones Place Value → Reading and Writing Three-Digit Numbers → Comparing Three-Digit Numbers → Comparing and Ordering Three-Digit Quantities → Comparing and Ordering Whole Numbers → Comparing Numbers 1 to 20 → Ordering Numbers to 20 → Number Line 0 to 20 → 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 → Opposites and Additive Inverses → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Multiplying Binomials (FOIL) → Factoring Trinomials → Factoring Completely → Introduction to Rational Expressions → Simplifying Radical Expressions → Segments and Distance → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Similar Right Triangles and the Geometric Mean → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Special Right Triangles: 30-60-90 → Trigonometric Ratios Review → Vectors in Two Dimensions → Vectors in R^n → Scalar Multiplication of Vectors → 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 → Equivalence of Representations → Reducibility and Irreducibility → Representations of SL₂ → Root Systems of Semisimple Lie Algebras

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