In
mathematics
Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, a root system is a configuration of
vectors in a
Euclidean space
Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, in Euclid's ''Elements'', it was the three-dimensional space of Euclidean geometry, but in modern mathematics there are ''Euclidean spaces ...
satisfying certain geometrical properties. The concept is fundamental in the theory of
Lie groups and
Lie algebra
In mathematics, a Lie algebra (pronounced ) is a vector space \mathfrak g together with an operation called the Lie bracket, an alternating bilinear map \mathfrak g \times \mathfrak g \rightarrow \mathfrak g, that satisfies the Jacobi ident ...
s, especially the classification and representation theory of
semisimple Lie algebra
In mathematics, a Lie algebra is semisimple if it is a direct sum of modules, direct sum of Simple Lie algebra, simple Lie algebras. (A simple Lie algebra is a non-abelian Lie algebra without any non-zero proper Lie algebra#Subalgebras.2C ideals ...
s. Since Lie groups (and some analogues such as
algebraic groups) and Lie algebras have become important in many parts of mathematics during the twentieth century, the apparently special nature of root systems belies the number of areas in which they are applied. Further, the classification scheme for root systems, by
Dynkin diagrams, occurs in parts of mathematics with no overt connection to Lie theory (such as
singularity theory). Finally, root systems are important for their own sake, as in
spectral graph theory.
Definitions and examples

As a first example, consider the six vectors in 2-dimensional
Euclidean space
Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, in Euclid's ''Elements'', it was the three-dimensional space of Euclidean geometry, but in modern mathematics there are ''Euclidean spaces ...
, R
2, as shown in the image at the right; call them roots. These vectors
span the whole space. If you consider the line
perpendicular to any root, say ''β'', then the reflection of R
2 in that line sends any other root, say ''α'', to another root. Moreover, the root to which it is sent equals ''α'' + ''nβ'', where ''n'' is an integer (in this case, ''n'' equals 1). These six vectors satisfy the following definition, and therefore they form a root system; this one is known as ''A''
2.
Definition
Let ''E'' be a finite-dimensional
Euclidean vector space
In mathematics and physics, a vector space (also called a linear space) is a set (mathematics), set whose elements, often called vector (mathematics and physics), ''vectors'', can be added together and multiplied ("scaled") by numbers called sc ...
, with the standard
Euclidean inner product denoted by
. A root system
in ''E'' is a finite set of non-zero vectors (called roots) that satisfy the following conditions:
# The roots
span ''E''.
# The only scalar multiples of a root
that belong to
are
itself and
.
# For every root
, the set
is closed under
reflection through the
hyperplane
In geometry, a hyperplane is a generalization of a two-dimensional plane in three-dimensional space to mathematical spaces of arbitrary dimension. Like a plane in space, a hyperplane is a flat hypersurface, a subspace whose dimension is ...
perpendicular to
.
# (Integrality) If
and
are roots in
, then the projection of
onto the line through
is an ''integer or half-integer'' multiple of
.
Equivalent ways of writing conditions 3 and 4, respectively, are as follows:
#
For any two roots , the set contains the element
# For any two roots
, the number
is an
integer
An integer is the number zero (0), a positive natural number (1, 2, 3, ...), or the negation of a positive natural number (−1, −2, −3, ...). The negations or additive inverses of the positive natural numbers are referred to as negative in ...
.
Some authors only include conditions 1–3 in the definition of a root system. In this context, a root system that also satisfies the integrality condition is known as a crystallographic root system. Other authors omit condition 2; then they call root systems satisfying condition 2 reduced. In this article, all root systems are assumed to be reduced and crystallographic.
In view of property 3, the integrality condition is equivalent to stating that ''β'' and its reflection ''σ''
''α''(''β'') differ by an integer multiple of ''α''. Note that the operator
defined by property 4 is not an inner product. It is not necessarily symmetric and is linear only in the first argument.
The rank of a root system Φ is the dimension of ''E''.
Two root systems may be combined by regarding the Euclidean spaces they span as mutually orthogonal subspaces of a common Euclidean space. A root system which does not arise from such a combination, such as the systems ''A''
2, ''B''
2, and ''G''
2 pictured to the right, is said to be irreducible.
Two root systems (''E''
1, Φ
1) and (''E''
2, Φ
2) are called isomorphic if there is an invertible linear transformation ''E''
1 → ''E''
2 which sends Φ
1 to Φ
2 such that for each pair of roots, the number
is preserved.
The of a root system Φ is the Z-submodule of ''E'' generated by Φ. It is a
lattice in ''E''.
Weyl group
The
group of
isometries of ''E'' generated by reflections through hyperplanes associated to the roots of Φ is called the
Weyl group of Φ. As it
acts faithfully on the finite set Φ, the Weyl group is always finite. The reflection planes are the hyperplanes perpendicular to the roots, indicated for
by dashed lines in the figure below. The Weyl group is the symmetry group of an equilateral triangle, which has six elements. In this case, the Weyl group is not the full symmetry group of the root system (e.g., a 60-degree rotation is a symmetry of the root system but not an element of the Weyl group).
Rank one example
There is only one root system of rank 1, consisting of two nonzero vectors
. This root system is called
.
Rank two examples
In rank 2 there are four possibilities, corresponding to
, where
. The figure at right shows these possibilities, but with some redundancies:
is isomorphic to
and
is isomorphic to
.
Note that a root system is not determined by the lattice that it generates:
and
both generate a
square lattice while
and
both generate a
hexagonal lattice
The hexagonal lattice (sometimes called triangular lattice) is one of the five two-dimensional Bravais lattice types. The symmetry category of the lattice is wallpaper group p6m. The primitive translation vectors of the hexagonal lattice form an ...
.
Whenever Φ is a root system in ''E'', and ''S'' is a
subspace of ''E'' spanned by Ψ = Φ ∩ ''S'', then Ψ is a root system in ''S''. Thus, the exhaustive list of four root systems of rank 2 shows the geometric possibilities for any two roots chosen from a root system of arbitrary rank. In particular, two such roots must meet at an angle of 0, 30, 45, 60, 90, 120, 135, 150, or 180 degrees.
Root systems arising from semisimple Lie algebras
If
is a complex
semisimple Lie algebra
In mathematics, a Lie algebra is semisimple if it is a direct sum of modules, direct sum of Simple Lie algebra, simple Lie algebras. (A simple Lie algebra is a non-abelian Lie algebra without any non-zero proper Lie algebra#Subalgebras.2C ideals ...
and
is a
Cartan subalgebra, we can construct a root system as follows. We say that
is a root of
relative to
if
and there exists some
such that
for all
. One can show that there is an inner product for which the set of roots forms a root system. The root system of
is a fundamental tool for analyzing the structure of
and classifying its representations. (See the section below on Root systems and Lie theory.)
History
The concept of a root system was originally introduced by
Wilhelm Killing around 1889 (in German, ''Wurzelsystem'').
He used them in his attempt to classify all
simple Lie algebras over the
field of
complex numbers. (Killing originally made a mistake in the classification, listing two exceptional rank 4 root systems, when in fact there is only one, now known as F
4. Cartan later corrected this mistake, by showing Killing's two root systems were isomorphic.)
Killing investigated the structure of a Lie algebra
by considering what is now called a
Cartan subalgebra . Then he studied the roots of the
characteristic polynomial , where
. Here a ''root'' is considered as a function of
, or indeed as an element of the dual vector space
. This set of roots forms a root system inside
, as defined above, where the inner product is the
Killing form.
[
]
Elementary consequences of the root system axioms
The cosine of the angle between two roots is constrained to be one-half of the square root of a positive integer. This is because and are both integers, by assumption, and
Since