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# Root system

A root system is a finite set Φ of non-zero vectors (roots) spanning a finite-dimensional Euclidean space V which satisfy the following properties:

1. The only scalar multiples of a root α in V which belong to &Phi are α itself and −α.
2. For every root α in V, the set Φ is symmetric under reflection through the hyperplane of vectors perpendicular to α
3. If α and β are vectors in Φ, the projection of 2β onto the line through α is an integer multiple of α

The rank of a root system Φ is the dimension of V. 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 A2, B2, and G2 pictured below, is said to be irreducible.

Two irreducible root systems (E11) and (E22) are considered to be the same if there is an invertible linear transformation E1E2 which preserves distance up to a scale factor and which sends Φ1 to Φ2.

The group of isometries of V 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.

## Classification

It is not too difficult to classify the root systems of rank 2:

Whenever Φ is a root system in V and W is a subspace of V spanned by Ψ=Φ∩W, then Ψ is a root system in W. Thus, our exhaustive list of root systems of rank 2 shows the geometric possibilities for any two roots in a root system. In particular, two such roots meet at an angle of 0, 30, 45, 60, 90, 120, 135, 150, or 180 degrees.

In general, irreducible root systems are specified by a family (indicated by a letter A to G) and the rank (indicated by a subscript). There are four infinite families and five exceptional cases:

• An (n≥1)
• Bn (n≥2)
• Cn (n≥3)
• Dn (n≥4)
• E6
• E7
• E8
• F4
• G2

To prove this classification theorem, one uses the angles between pairs of roots to encode the root system in a much simpler combinatorial object, the Dynkin diagram. The Dynkin diagrams can then be classified according to the scheme given above.

The actual root systems can be realized as follows:

### An

Let V be the subspace of Rn+1 for which the coordinates sum to 0, and let Φ be the set of vectors in V of length √2 and with integer coordinates in Rn+1. Such a vector must have all but two coordinates equal to 0, one coordinate equal to 1, and one equal to -1, so there are n2+n roots in all.

### Bn

Let V=Rn, and let Φ consist of all integer vectors in V of length 1 or √2. The total number of roots is 2n2.

### Cn

Let V=Rn, and let Φ consist of all integer vectors in V of √2 together with all vectors of the form 2λ, where λ is an integer vector of length 1. The total number of roots is 2n2. The total number of roots is 2n2.

### Dn

Let V=Rn, and let Φ consist of all integer vectors in V of length √2. The total number of roots is 2n2.

### En

For V8, let V=R8, and let E8 denote the set of vectors α of length √2 such that the coordinates of 2α are all integers and are either all even or all odd. Then E7 can be constructed as the intersection of E8 with the hyperplane of vectors perpendicular to a fixed root α in E8, and E6 can be constructed as the intersection of E8 with two such hyperplanes corresponding to roots α and β which are neither orthogonal to one another nor scalar multiples of one another. The root systems E6, E7, and E8 have 72, 126, and 240 roots respectively.

### F4

For F4, let V=R4, and let Φ denote the set of vectors α of length 1 or √2 such that the coordinates of 2α are all integers and are either all even or all odd. There are 48 roots in this system.

### G2

There are 12 roots in G2, which form the vertices of a hexagram. See the picture above.

## Root systems and Lie theory

Irreducible root systems classify a number of related objects in Lie theory, notably:

In each case, the roots are non-zero weightss of the adjoint representation.

A root system can also be said to describe a plant's roots and associated systems

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