Geometric Foundations
Unveiling the abstract structures that shape advanced mathematics, from Lie theory to algebraic geometry.
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Definitions
Core Concept
A root system is a finite set of non-zero vectors in a Euclidean space that satisfies specific geometric conditions. These configurations are fundamental building blocks in the theory of Lie groups and Lie algebras, particularly in their classification and the study of their representations.
Defining Axioms
Let E be a finite-dimensional Euclidean vector space. A root system is a finite set of non-zero vectors (roots) satisfying:
- The roots span the entire space E.
- If , then is also in .
- Reflection across the hyperplane perpendicular to any root maps to itself.
- The projection of root onto the line through is an integer or half-integer multiple of .
A root system is called crystallographic if it satisfies the integrality condition (axiom 4). This document assumes crystallographic root systems.
Rank and Isomorphism
The rank of a root system is the dimension of the Euclidean space E it spans. Two root systems are considered isomorphic if there's an invertible linear transformation between their spaces that preserves the set of roots and the geometric relationships (inner products) between them. This classification is crucial for understanding the underlying symmetries.
Examples
Rank One: A1
The simplest root system, in 1-dimensional space, consists of just two vectors: . This system is denoted as A1.
Rank Two: Geometric Possibilities
In two dimensions, there are four distinct irreducible root systems, characterized by the angles and length ratios between pairs of roots:
- A1 × A1 (or D2): Two pairs of opposite roots, orthogonal to each other.
- A2: Six roots forming a hexagonal pattern, with angles of 60° or 120° between adjacent roots.
- B2 (or C2): Four roots forming a square, with two roots longer than the other two. Angles are 90° and 135°.
- G2: Six roots with angles of 30° or 150°, and a length ratio of .
These examples illustrate the geometric constraints imposed by the root system axioms.
Dynkin Diagrams
The relationships between simple roots (a specific subset of positive roots) can be visually represented by Dynkin diagrams. These diagrams encode the angles and relative lengths of the simple roots, providing a compact way to classify root systems. Connected Dynkin diagrams correspond to irreducible root systems.
Algebraic Connections
Lie Algebras and Roots
Root systems are intrinsically linked to the structure of semisimple Lie algebras. For a complex semisimple Lie algebra and its Cartan subalgebra , the roots are non-zero linear functionals on that arise from the adjoint action of on .
Killing Form
The inner product used in the definition of root systems is often derived from the Killing form of the Lie algebra. This bilinear form provides the necessary geometric structure. The set of roots, when considered within the dual space of the Cartan subalgebra, naturally forms a root system under this structure.
Foundational Tool
The root system is a critical invariant for classifying semisimple Lie algebras and understanding their representation theory. It dictates the structure and properties of these algebraic objects.
Weyl Group
Symmetry Group
The Weyl group of a root system is the finite group generated by reflections across the hyperplanes perpendicular to each root. It represents the symmetries of the root system.
Action on Roots
The Weyl group acts on the set of roots, permuting them. This action is crucial for understanding the structure and classification. For example, the Weyl group of the A2 root system is the symmetry group of an equilateral triangle.
Dual Relationship
The Weyl group is also fundamental in relating a root system to its dual root system (formed by the coroots). The action of the Weyl group is consistent between the root system and its dual.
Historical Development
Killing's Contribution
The concept of root systems was introduced by Wilhelm Killing around 1889 in his ambitious attempt to classify all simple Lie algebras over the complex numbers. His initial work laid the groundwork for this fundamental area of mathematics.
Refinements and Corrections
Killing's initial classification contained errors, notably regarding the exceptional root systems. These were later corrected and refined by Élie Cartan, solidifying the classification scheme that is still used today. The concept itself proved remarkably robust and widely applicable.
Dynkin's Diagrams
The development of Dynkin diagrams by Eugene Dynkin provided a powerful combinatorial tool for representing and classifying root systems, simplifying the study of their complex structures and interrelationships.
Classification
The Five Families
All irreducible root systems fall into five families, classified by their Dynkin diagrams:
- Classical Types: An, Bn, Cn, Dn
- Exceptional Types: E6, E7, E8, F4, G2
The subscript denotes the rank of the root system.
Duality
Root systems and their duals (coroots) are closely related. The classical types Bn and Cn are dual to each other but not isomorphic (except for n=2). The classical types An and Dn, along with all exceptional types, are self-dual.
Irreducibility
A root system is irreducible if it cannot be decomposed into a direct sum of smaller root systems. This property corresponds directly to the connectivity of its Dynkin diagram. Non-irreducible systems are simply combinations of irreducible ones.
Dynkin Diagrams
Visualizing Structure
Dynkin diagrams provide a graphical representation of the relationships between the simple roots of a root system. Each vertex represents a simple root, and the edges (with potential arrows and multiple lines) encode the angles and relative lengths between them.
Classification Power
The classification of possible connected Dynkin diagrams directly leads to the classification of all irreducible root systems. Each distinct connected diagram corresponds to a unique irreducible root system, making this a powerful combinatorial approach.
Lattices
Root Lattice
The root lattice associated with a root system is the lattice (discrete subgroup) generated by the roots themselves. It captures the integer linear combinations of roots.
Weight Lattice
An integral element is a vector whose inner product with every coroot is an integer. The set of all integral elements forms the weight lattice. This lattice is crucial in representation theory, as it contains the weights of finite-dimensional representations of semisimple Lie algebras.
Distinction
While roots are always integral elements, the root lattice and the weight lattice do not always coincide. The weight lattice can be larger, containing integral elements that are not integer linear combinations of roots, reflecting a richer structure.
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References
References
- See various parts of Chapters III, IV, and V of Humphreys 1972, culminating in Section 19 in Chapter V
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Important Notice
This page was generated by an Artificial Intelligence and is intended for informational and educational purposes only. The content is derived from publicly available data and aims to provide a structured overview of root systems in mathematics.
This is not a substitute for formal mathematical study. While efforts have been made to ensure accuracy and clarity, the abstract nature of the subject requires rigorous study through textbooks and academic resources. Always consult authoritative mathematical literature for definitive understanding and application.
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