Root systems

Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au

Last update: 27 March 2012

Abstract.
This is a typed version of I.G. Macdonald's lecture notes from lectures at the University of California San Diego from January to March of 1991.

Introduction

Let V be a real vector space of finite dimension n>0, and let ⟨x,y⟩ be a positive definite symmetric inner product on V. So we have ⟨x,x⟩≠0 for all x≠0 in V, and we write |x| = ⟨x,x⟩12 for the length of x. A linear transformation f:V→V is an isometry if it is length preserving: |f(x)| = |x| for all x∈V. Equivalently, ⟨fx,fy⟩ = ⟨xy⟩ for all x,y∈V.

Example. V=ℝn with the standard inner product: If   x=(x1,...,xn),   y=(y1,...,yn)   then   ⟨x,y⟩ = ∑i=1n xiyi. In fact this is essentially the only example: given V as above we can construct an orthonormal basis of V, i.e. a basis v1,...,vn, such that ⟨vi,vj⟩ = δij   (1≤i,j≤n) and then if x= ∑i=1n xivi, y= ∑i=1n yivi, we have ⟨x,y⟩ = ∑xiyi.

If x,y∈V are such that ⟨x,y⟩ =0 we say that x,y are perpendicular (or orthogonal) and write x⊥y. More generally, if x,y≠0 the angle θ(∈[0,π]) between the vectors x,y is given by cosθ = ⟨x,y⟩ |x|⋅|y| . One other piece of notation: if x∈V, x≠0 we shall write x∨ = 2x |x|2 (you'll see why in a moment). We have |x∨| = 2 |x| , ⟨x,x∨⟩ = 2, (x∨)∨ = 2x∨ |x∨|2 = x, (cx)∨ = c-1x∨ (c∈ℝ, c≠0).

Reflections in V

Let α∈V, α≠0, and let sα: V→V be the orthogonal reflection in the hyperplane Hα = {x∈V  |  ⟨x,α⟩=0} perpendicular to α. Clearly |sα(x)| = |x| for all x∈V, i.e. sα is an isometry.

  1. sα(x) = x-⟨x,α∨⟩α   (= x-⟨x,α⟩α∨).
  2. sα(x)∨ = sα(x∨) = x∨-⟨x∨,α⟩α∨.
  3. sα2 =1.
  4. ⟨sαx,y⟩ = ⟨x,sαy⟩.
  5. Let f:V→V be an isometry. Then sf(α) = fsαf-1.

Proof.
  1. We have x-sαx=λα, for some λ∈ℝ, so that ⟨x-sαx,α⟩ = λ|α|2. (IGM 1) On the other hand, ⟨x+sαx,α⟩ = 0 (IGM 2) because 12 (x+sαx) ∈Hα. Adding (IGM 1) and (IGM 2) we get 2⟨x,α⟩ = λ|α|2 i.e., λ= 2⟨x,α⟩ |α|2 = ⟨x,α∨⟩, which proves (i).
  2. sα(x)∨ = 2sα(x) |sα(x)|2 = 2sα(x) |x|2 (because   sα   is an isometry) = sα(x∨) = x∨-⟨x∨,α⟩α∨ by (i).
  3. Is obvious from the definition.
  4. ⟨sαx,y⟩ = ⟨x,y⟩ - ⟨x,α∨⟩ ⟨y,α⟩ = ⟨x,y⟩ - 2⟨x,α⟩⟨y,α⟩ |α|2 is symmetrical in x and y, hence equal to ⟨sαy,x⟩ = ⟨x,sαy⟩.
  5. Calculate, using (i): fsαf-1(x) = f( f-1x - 2⟨f-1x,α⟩ |α|2 α ) = x- 2⟨x,fα⟩ |fα|2 fα = sfα(x).

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Root systems

A root system in V is a non-empty subset R of V-{0} satisfying the following two axioms:

  1. (R1) For all α,β∈R, ⟨α∨,β⟩∈ℤ (integrality).
  2. (R2) For all α,β∈R, sα(β)∈R (symmetry).

  1. Since sα(α)=-α it follows from (R2) that α∈R ⇒ -α∈R. Suppose on the other hand α∈R and β=cα∈R   (c∈ℝ,  c≠0). Then ⟨α∨,β⟩ = c⟨α∨,α⟩ = 2c, so that 2c∈ℤ; and ⟨α,β∨⟩ = c-1⟨α,α∨⟩ = 2c-1, so that 2c-1 ∈ℤ. So the only possibilities for c are c = ±12,  ±1,  ±2. If α∈R,   cα∈R  ⇒  c=±1 we say that R is reduced. But there are non reduced root systems as well (examples in a moment).
  2. I don't demand that R spans V. The dimension of the subspace of V spanned by R is called the rank of R. It is therefore the maximum number of linearly independent elements of R.
  3. R1⊆V1,   R2⊆V2:   R= R1∪R2 ⊆ V1⊕V2 (orthogonal direct sum). R is reducible if it splits up in this way (decomposable would be a better word).

Examples.

  1. rank R=1: only two possibilities R={±α} (A1), R={±α,±2α} (BC1). The first is reduced, the second isn't.
  2. rank R=2, R reduced. Draw pictures of A1×A1,  A2,  B2,  G2. The first of these is reducible, the others are irreducible.
  3. rank R=2, R non-reduced: draw picture of BC2.
  4. V=ℝn, standard basis e1,...,en (⟨ei,ej⟩=δij). An-1 = {ei-ej  |  1≤i,j≤n,   i≠j} (rank n-1) Bn = {±ei±ej   (1≤i<j≤n),   ±ei   (1≤i≤n) }, Cn = {±ei±ej   (1≤i<j≤n),   ±2ei   (1≤i≤n)}, Dn = {±ei±ej   (1≤i<j≤n)}, BCn = Bn∪Cn (not reduced). (Exercise: check (R1), (R2) in each case.)

    In fact, as we shall see later, this is almost a complete list of the irreducible root systems: apart from An (n≥1), Bn (n≥2), Cn (n≥3), Dn (n≥4), BCn (n≥1) there are just 5 others: E6,  E7,  E8,  F4,  G2 (the last of which we have already met).
  5. In R is a root system, so is R∨ = {α∨  |  α∈R} (the dual root system). In the examples above, An-1,  BCn, and Dn are self dual; Bn and Cn are duals of each other.

I want now to start drawing some consequences from the integrality axiom (R1), which as we shall see restricts the possibilities very drastically. So let R be a root system and α,β∈R. Let θ=θαβ ∈ [0,π] be the angle between the vectors α,β, so that cosθ = ⟨α,β⟩ |α||β| and hence 4cos2θ = 4⟨α,β⟩2 |α|2|β|2 = ⟨α,β∨⟩ ⟨α∨,β⟩ ∈ℤ (IGM 3) so that |⟨α∨,β⟩| ≤4.

Let α,β∈R be linearly independent and assume ⟨α,β⟩≠0. then

  1. ⟨α,β∨⟩⟨α∨,β⟩=1,2 or 3.
  2. If |α|≥|β| then ⟨α∨,β⟩ = ±1 and |α|2 |β|2 =1,2  or  3.

Proof.
  1. Follows from (IGM 3), since cos2θ ≠ 0,1.
  2. |α|2 |β|2 = ⟨α,β∨⟩ ⟨α∨,β⟩ (since ⟨α,β⟩≠0). Hence |⟨α∨,β⟩| ≤ |⟨α,β∨⟩| and it follows from (i) that |⟨α∨,β⟩| = 1, |⟨α,β∨⟩| =1,2   or   3.

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From the relation (IGM 3) we have cos2θ = 0,  14,  12,  34,  1 giving cosθ = 0,  ±12,  ±12,  ±32,  ±1. So the possible values of θ=θαβ are π2,  π3,  2π3,  π4,  3π4,  π6,  5π6,  0,  π or collectively θαβ = rπ12 where 0≤r≤12 and r is not prime to 12 (i.e. r≠1,5,7,11).

R is finite.

Proof.
R spans a subspace V′ of V, so we can choose α1,...,αr ∈R forming a basis of V′. Let v1,...,vr be the dual basis of V′, defined by ⟨αi,vj⟩ = δij (1≤i,j≤r). Let β∈R, then β∨∈V′, say β∨ = ∑i=1r mivi and the coefficients mi are given by mi = ⟨αi,β∨⟩. So each mi is an integer and |mi| ≤ 4. So only finitely many possibilities.

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Weyl group

Let W= ⟨sα  |  α∈R⟩ be the group of isometries of V generated by the reflections sα, α∈R. By (R2) each w∈W permutes the elements of R, i.e. we have a homomorphism W→Sym(R) (IGM 4) of W into the group of permutations of R. As in Proposition 3.4, let V′ be the subspace of V spanned by R and let V′′ = (V′)⊥ be the orthogonal complement of V′, so that V=V′⊕V′′. Each sα   (α∈R) fixes V′′ pointwise (because V′′⊆Hα), hence each w∈W fixes V′′ pointwise.

Suppose w∈W gives rise to the identity permutation under the homomorphism (IGM 4), i.e. w(α) = α for all α∈R. Then w fixes V′ pointwise (because R spans V′) as well as V′′, i.e. w=1V. So W embeds in Sym(R) which is a finite group by Proposition 3.4. Hence W is a finite group called the Weyl group of R: notation W=W(R).

Examples.

  1. Weyl groups of types A,B,C,D (symmetric group, hyperoctahedral group, etc.).
  2. W(R∨)=W(R).

Let α,β∈R.

  1. If ⟨α,β⟩>0 (i.e. if θαβ is acute) then β-α∈R∪{0}.
  2. If ⟨α,β⟩<0 (i.e. if θαβ is obtuse) then β+α∈R∪{0}.

Proof.
(ii) comes from (i) by replacing α by -α, so it is enough to prove (i). First of all, if β=cα (c∈ℝ) then (as we have seen) 12,  1   or   2 so that β-α = (c-1)α = { -12α = -β, if   c=12, 0, if   c=1, α, if   c=2. } So we may assume α,β linearly independent and then by Proposition 3.3 (i) either ⟨α∨,β⟩ = 1 or ⟨α,β∨⟩ = 1. If say ⟨α∨,β⟩ = 1 then by Proposition 2.1 we have sα(β) = β- ⟨α∨,β⟩α = β-α and hence also β-α = -(α-β) ∈R.

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Strings of roots

Let α,β∈R be linearly independent and let I= {i∈ℤ  |  β+iα∈R}.

  1. I is an interval [-p,q] of ℤ, where p,q≥0.
  2. p-q=⟨α,β∨⟩.

Proof.
  1. Certainly 0∈I. Let -p (resp. q) be the smallest (resp. largest) element of I. Suppose I≠[-p,q]. Then there exist r,s∈I such that s>r+1,  r+1 ∉I,   s-1∉I. So we have β+rα∈R, (β+rα) + α∉R, hence ⟨β+rα,α⟩ ≥ 0, also β+sα∈R, (β+sα) - α∉R, hence ⟨β+sα,α⟩ ≤ 0, both by Proposition 4.1. Subtract and we get (r-s) |α|2 ≥ 0, hence r≥s, a contradiction. So I=[-p,q].
  2. We have sα(β+rα) = β+rα - ⟨β+rα,α∨⟩α = β- ( ⟨α∨,β⟩+r )α. Hence r∈I implies -( ⟨α∨,β⟩+r )∈I.

    Take r=q: ⟨α∨,β⟩+q ≤ p, i.e. ⟨α∨,β⟩ ≤ p-q.

    Take r=-p: p-⟨α∨,β⟩ ≤ q, i.e. ⟨α∨,β⟩ ≥ p-q.

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The set of roots β+iα (-p≤i≤q) is called the α-string through β. It follows from Proposition 5.1 that a string of roots has as most 4 elements: (take q=0, i.e. β at the end of the chain: p= ⟨α∨,β⟩ ≤3 because α,β linearly independent.)

Bases of R

A basis of R is a subset B of R such that

  1. (B1) B is linearly independent.
  2. For each α∈R we have α = ∑β∈Bmββ, with coefficients mβ∈ℤ and either all mβ≥0 or all mβ≤0.

From (B2) it follows that B spans the subspace V′ of V spanned by R, hence (B1) B is a basis of V′ and therefore Card(B)=rank(R).

Examples. An-1: B = { ei-ei+1,  1≤i≤n-1 }. Bn: B = { ei-ei+1,  1≤i≤n-1 ;  en }. Cn: B = { ei-ei+1,  1≤i≤n-1 ;  2en }. Dn: B = { ei-ei+1,  1≤i≤n-1 ;  en-1+en }. G2: Draw picture.

Defining something gives no guarantee that it exists. However, the following construction provides bases (in fact, all of them). Say x∈V is regular if ⟨α,x⟩≠0 for all α∈R, i.e. if x does not lie in any of the reflecting hyperplanes Hα (α∈R). Let x be regular and let R+ = Rx+ = { α∈R  |  ⟨α,x⟩>0 }. Since α∈R implies that -α∈R it follows that R=Rx+∪(-Rx+) (disjoint union). A root α∈Rx+ will be called (temporarily) decomposable if α=β+γ with β,γ∈R+; otherwise indecomposable. Let Bx be the set of indecomposable elements of Rx+.

Bx is a basis of R.

Proof.
In several steps.
  1. Let S = ∑β∈Bxℕβ. I clain that Rx+⊆S. Suppose not, and choose α∈Rx+, α∉S such that ⟨α,x⟩ is as small as possible. Certainly α∉Bx (because Bx⊆S), hence α is decomposable, say α = β+γ   (β,γ∈Rx+). Hence ⟨α,x⟩ = ⟨β,x⟩ + ⟨γ,x⟩; both ⟨β,x⟩ and ⟨γ,x⟩ are positive, hence less than ⟨α,x⟩. It follows that β∈S and γ∈S, hence (as S is closed under addition) α∈S, contradiction. Hence R = Rx+ ∪ (-Rx+) ⊆ S∪(-S) and so Bx satisfies (B2).
  2. Let α,β∈Bx, α≠β. Then ⟨α,β⟩ ≤0 (i.e., θαβ≥π2).

    Suppose ⟨α,β⟩ >0. By Proposition 4.1 we have β-α∈R and hence also α-β∈R. So either β-α ∈ Rx+, in which case β = α+(β-α) is decomposable; or α-β ∈ Rx+, in which case α = β+(α-β) is decomposable. Contradiction in either case.
  3. Bx is linearly independent.

    Suppose not, then there exists a linear dependence relation which we can write in the form ∑α∈B′mαα = ∑β∈B′′nββ (=λ   say ) where B′,  B′′ are disjoint subsets of Bx, and the coefficients mα, nβ are all >0. By (2) above we have |λ|2 = ∑α,β mαnβ ⟨α,β⟩ ≤0 and hence λ=0. Hence 0=⟨λ,x⟩ = ∑αmα ⟨α,x⟩ = ∑βnβ ⟨β,x⟩. Since ⟨α,x⟩ and ⟨β,x⟩ are positive it follows that B′ = B′′ = ∅.

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Conversely, all bases B of R are of the form Bx, where x∈V is regular.

Let B be any basis of R, and let C = {x∈V  |  ⟨α,x⟩>0  all  α∈B}. Then C≠∅, every x∈C is regular and B=Bx, for all x∈C.

Proof.
Let B = {α1,...,αr}; B is a basis of V′ (as remarked earlier), hence there exists a dual basis {v1,...,vr} of V′ such that ⟨αi,vj⟩ = δij. Let x∈V′, say x = ∑i=1r xivi; then ⟨αi,x⟩ = xi and hence x∈C provided all the coefficients xi are >0. So C is certainly not empty.

Now let x∈C, α∈R+: α = ∑i=1r miαi with mi≥0, hence ⟨α,x⟩ = ∑i=1r mi ⟨αi,x⟩ >0 for all α∈R+, and likewise ⟨α,x⟩<0 for all α∈R-. So x is regular and R+ = Rx+, whence B=Bx.

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So the above construction provides all bases of R.

Let B be a basis of R; α,β∈B,   α≠β. Then ⟨α,β⟩ ≤0 (i.e., θαβ≥π2).

Proof.
By Proposition 6.3, B=Bx for some regular x∈V. Hence Proposition 6.4 follows from the proof of Proposition 6.2.

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From now on it will be simpler (and will involve no loss of generality) to assume that V′=V, i.e. that R spans V. Let B = {α1,...,αr} be a basis of R (so r=rank(R)) and let R+ be the set of positive roots relative to B; R-=-R+ the set of negative roots. (α1,...,αr also called a set of simple roots).

Also assume R reduces until further notice ( α∈R ⇒ 2α∉R ).

Let si = sαi   (1≤i≤r) and set ρ = 12 ∑α∈R+α (half the sum of the positive roots).

  1. si permutes the set R+-{αi}.
  2. siρ=ρ-αi.
  3. ⟨ρ,αi∨⟩=1.

Proof.
  1. Let β∈R+, β≠αi. Then by Proposition 2.1 siβ = β- ⟨β,αi∨⟩αi. Now β is of the form ∑i=1r mjαj with at least one coefficient mj, j≠i, positive (because 2αi is not a root). Hence the coefficient of αj in siβ is also positive, hence siβ∈R+.
  2. From (i) it follows that siρ = 12 ∑ β∈R+ β≠αi β-12αi = ρ-αi.
  3. Follows from (ii), since siρ = ρ- ⟨ρ,αi∨⟩ αi.

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As in Proposition 6.3, let C = {x∈V  |  ⟨x,αi⟩>0   (1≤i≤r)} = {x∈V  |  ⟨x,α⟩>0,   all   α∈R+}. C is the Weyl chamber associated with the basis B={α1,...,αr}. It is the intersection of r half spaces in V (dimV=r now), so it is an open simplicial cone. Relative to the dual basis {v1,...,vr} it is the positive octant.

From Proposition 6.5 (iii) it follows that ρ∈C.

Let x∈V be regular. Then there exists w∈W such that wx∈C.

Proof.
Choose w∈W such that ⟨wx,ρ⟩ is as large as possible. Then for 1≤i≤r we have ⟨wx,ρ⟩ ≥ ⟨siwx,ρ⟩ = ⟨wx,siρ⟩ = ⟨wx,ρ-αi⟩ by Proposition 6.5 = ⟨wx,ρ⟩ - ⟨wx,αi⟩ so that ⟨wx,αi⟩ ≥0; but also ⟨wx,αi⟩ = ⟨x,w-1αi⟩ ≠ 0 (because x is regular and w-1αi ∈R ), hence ⟨wx,αi⟩>0 for 1≤i≤r, i.e., wx∈C.

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Let B′ be another basis of R. Then B′=wB for some w∈W.

Proof.
By Proposition 6.3 we have B′=Bx, some regular x∈V, and the corresponding set of positive roots is Rx+ = {α∈R  |  ⟨α,x⟩>0}. By Proposition 6.6 there exists w∈W such that wx∈C and therefore α∈Rx+ ⇔ ⟨α,x⟩>0 ⇔ ⟨wα,wx⟩>0 ⇔ wα∈R+, so that Rx+ = w-1R+ and hence B′=Bxw-1=B.

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We shall show later that B′=wB for exactly one w∈W.

  1. Let α∈R, then α=wαi for some w∈W and some i (i.e. R=WB).
  2. W is generated by s1,...,sr.   (si=sαi)

Proof.
  1. Let W0 be the subgroup of W generated by s1,...,sr. We shall show that (i) holds for some w∈W0. We may assume that α∈R+, for if -α=wαi then α=wsiαi.

    For α∈R+, say α = ∑i=1r miαi define the height of α to be ht(α) = ∑i=1r mi, the sum of the coefficients. (So   ht(α)=1 ⇔ α∈B ). We proceed by induction on ht(α). We must have ⟨α,αi⟩>0 for some i, for otherwise we should have |α|2 = ∑i=1r mi ⟨α,αi⟩ ≤0, which is impossible. Hence siα = α- ⟨α,αi∨⟩αi has height ht(siα) = ht(α) - ⟨α,αi⟩ <ht(α) and hence by the inductive hypothesis siα = wαj for some w∈W0,   αj∈B. So α=siwαj, and siw∈W0.
  2. Enough to show sα∈W0 for each α∈R. But α=wαi with w∈W0, hence sα = wsiw-1 (Proposition 2.1) ∈W0.

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From Proposition 6.9, each w∈W can be written in the form w = sa1⋯ sap. If (for a given w) the number p of factors is as small as possible, then sa1⋯sap is called a reduced expression for w, and p is the length of w, denoted by ℓ(w) (relative to the generators s1,...,sr). Thus ℓ(1)=0;   ℓ(w)=1  ⇔ w=si;  ℓ(w)=ℓ(w-1).

Let w∈W, then ℓ(w) > ℓ(siw) ⇔ w-1αi < 0. (i.e.,  αi∈wR-).

Proof.
Suppose w-1 αi<0. Let w=t1⋯tp be a reduced expression for w, where each ti is an sj, say ti = sβi,  βi∈B. Let wj = t1⋯tj   (0≤j≤p), so that w0=1 and wp=w. So we have w0-1αi = αi>0 and wp-1αi = w-1αi<0, hence there exists j∈[1,p] such that β= wj-1-1αi >0, wj-1αi<0. Now wj-1 = tjwj-1-1, so that we have β>0, tjβ<0, tj=sβj, βj∈B. By Proposition 6.5, β≠βj  ⇒  tjβ<0, so we must have β=βj and hence αi = wj-1β = wj-1βj giving Proposition 2.1 si = wj-1 tj wj-1-1 = wj wj-1-1, or wj = siwj-1, and therefore siw = (siwj-1) tjtj+1⋯tp = (t1⋯tj) tjtj+1⋯tp = t1⋯tj-1 tj+1⋯tp, showing that ℓ(siw) ≤ p-1 < ℓ(w). So we have proved that w-1αi <0  ⇒  ℓ(siw) < ℓ(w). (IGM 5) Suppose now that w-1αi>0, then (siw)-1αi = w-1siαi = -w-1αi <0, hence (replacing w by siw in (IGM 5)) we have w-1αi <0  ⇒  ℓ(w) < ℓ(siw). This completes the proof.

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Suppose w1,w2∈W,  w1≠w2. Then w1B≠w2B.

Proof.
We have to show that B≠ w1-1w2B, i.e. B≠wB if w≠1. So let w=si⋯ be a reduced expression for w. Then ℓ(siw) < ℓ(w), hence w-1αi<0, hence w-1αi∉B, i.e. αi∉wB. So B≠wB as required.

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Example. Since B is a basis of R, so is -B. Positive roots relative to B are negative roots relative to -B and vice versa. By Proposition 6.11 we have -B=w0B for a unique w0∈W. w0 is called the longest element of W (relative to the basis B). We have w02=1, because w02B = w0(-B) = B.

For each w∈W let R(w) = {α∈R+  |  w-1α∈R-} = R+∩wR-.

Suppose that ℓ(w)>ℓ(siw). Then R(w) = si R(siw) ∪ {αi}.

Proof.
We have R(siw) = R+∩siwR- and therefore si R(siw) = siR+ ∩ wR-. (IGM 6) Now by Proposition 6.5 siR+ = (R+-{αi}) ∪ {-αi} (IGM 7) and by Proposition 6.10 w-1αi <0, i.e. αi∈ wR- and therefore -αi ∉ wR-. Hence from (IGM 6) and (IGM 7) we deduce that siR(siw) = (R+-{αi}) ∩ wR- = R+∩wR- - {αi} = R(w) - {αi}.

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[Compare Schubert polynomials, Ch. I, esp. (1.2).]

Note that αi ∉ siR(siw) (otherwise we should have -αi = siαi ∈ R(siw) ⊆ R+, impossible).

  1. Let w=t1⋯tp be a reduced expression, where ti = sβi,  βi∈B. Then R(w) = {t1⋯ti-1βi  |  1≤i≤p} (IGM 8) and these p roots are all distinct.
  2. ℓ(w)=Card R(w).

Proof.
  1. Since t1w=t2⋯tp it follows that ℓ(w) = p > ℓ(t1w), hence by Proposition 6.12 R(w) = {β1} ∪ t1 R(t2⋯tp) from which (IGM 8) follows by induction on p [SP, (1.7)]. Suppose t1⋯ti-1βi = t1⋯tj-1βj where i<j. Then βi = ti⋯tj-1βj and therefore by Proposition 2.1 ti = sβi = ti⋯tj-1sβj (ti⋯tj-1)-1 = ti⋯tj (ti⋯tj-1)-1 from which it follows that ti⋯tj = titi⋯tj-1 = ti+1⋯tj-1 and hence that w = t1⋯tp = t1⋯ ti^⋯ tj^⋯ tp contradicting the assumption that t1⋯tp is reduced.
  2. Hence Card R(w) = p = ℓ(w).

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Example. R(w0) = R+∩w0R- = R+, hence ℓ(w0) = Card R+ = number of reflections in   W.

ℓ(w) = ℓ(siw)+1 ⇔ w-1αi < 0, ℓ(w) = ℓ(siw)-1 ⇔ w-1αi > 0.

Proof.
We have w-1 αi ⇒ ℓ(w) > ℓ(siw) Proposition 6.10 ⇒ R(w) = si R(siw) ∪ {αi} Proposition 6.12 ⇒ ℓ(w) = ℓ(siw)+1 Proposition 6.13 Replace w by siw: w-1 αi ⇒ (siw)-1 αi = w-1 siαi = -w-1 αi<0 ⇒ ℓ(siw) = ℓ(w)+1.

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(Exchange lemma) Let w = t1⋯tp = u1⋯up be two reduced expressions for w, where ti=sβi,  ui=sγi with βi,  γi∈B. Then for some i∈[1,p] we have w = u1t1⋯ti^⋯tp (i.e. we can exchange u1 with one of the ti) [SP, (1.8)].

Proof.
By Proposition 6.13 we have γ1∈R(w), hence γ1 = t1⋯ti-1βi for some i∈[1,p]. Hence by Proposition 2.1 u1 = sγ1 = t1⋯ti-1sβi (t1⋯ti-1)-1 = (t1⋯ti-1ti) (t1⋯ti-1)-1 and therefore t1⋯ti = u1t1⋯ti-1 giving w = t1⋯ti⋯tp = u1t1⋯ti-1ti+1⋯tp.

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We shall next deduce from this exchance lemma that the Weyl group W is a Coxeter group (definition later). Consider two generators si,sj of W (i≠j) and let mij = order of   sisj   in   W = order of   sjsi   in   W (because sjsi = (sisj)-1 ). Then we have sisjsi⋯ = sjsisj⋯ (IGM 9) where there are mij (≥2) terms on either side.

Let w∈W, of length ℓ(w)=p. A reduced word for w is a sequence t_ = (t1,...,tp) where each ti is one of the sj, and w = t1⋯tp. Let S(w) denote the set of all reduced words for w. We make S(w) into a graph as follows: let uij denote the word uij = (si,sj,si,...) of length   mij. (i≠j) Suppose t_∈S(w) contains uij as a subword and let t′_∈S(w), and we join t_, t′_ by an edge.

The graph S(w) is connected.

Proof.
Induction on ℓ(w). When ℓ(w) = 1,  w=si and S(w) has just one element.

Let t_ = (t1,...,tp),   u_ = (u1,...,up) ∈S(w),   (p=ℓ(w)). We shall write t_≡u_ if t_, u_ are in the same connected component of S(w). The inductive hypothesis assures us that t_≡u_   if either   t1=u1   or   tp=up. (IGM 10) For is w′ = t1w = u1w then ℓ(w′) = p-1 and hence (t2,...,tp) ≡ (u2,...,up). We want to prove that t_≡u_. If t1=u1 we are through, by (IGM 10). If t2≠u1, then (exchange) there exists i∈[1,p] such that a_ = (u1,t1,...,ti^,...,tp) ∈ S(w). Suppose i≠p. Then t_ ≡ a_ ≡ u_ by (IGM 10), and therefore t_ ≡ u_.

Suppose i=p. Let m be the order of t1u1 in W. If m=2 then a′_ = (t1,u1,t2,...,tp-1) ∈ S(w) and t_ ≡ a′_ ≡ a_ ≡ u_ so again t_≡u_.

Suppose i=p and m>2. We have a_ = (u1,t1,...,tp-1) ∈ S(w), t_ = (t1,t2,...,tp), hence (exchange) there exists i∈[1,p-1] such that b_ = (t1,u1,t1,...,ti^,...,tp-1) ∈ S(w). Suppose i≠p-1. Then we have t_ ≡ b_ ≡ a_ ≡ u_ by (IGM 10), and hence t_≡u_.

Suppose i=p-1 and m=3. Then b′_ = (u1,t1,u1,t2,...,tp-2) ∈ S(w) and t_ ≡ b_ ≡ b′_ ≡ u_, so again we are through.

Suppose i=p-1 and m>3. Then we have b_ = (t1,u1,t1,t2,...,tp-2) ∈ S(w), u_ = (u1,u2,...,up-1) ∈ S(w), so by exchange there exists i∈[1,p-2] such that c_ = (u1,t1,u1,t1,...,ti^,...,tp-2) ∈ S(w). Suppose i≠p-2. Then t_ ≡ b_ ≡ c_ ≡ u_ and again t_ ≡ u_.

Suppose i=p-2 and m=4. Then c′_ = (t1,u1,t1,u1,t2,...,tp-2) ∈ S(w) and t_ ≡ c′_ ≡ c_ ≡ u_ so again t_≡u_.

Suppose i=p-2 and m>4. Repeat the argument: eventually we shall get t_ ≡ u_, as required.

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The generators si   (1≤i≤r) and relations si2=1, (sisj)mij = 1 (i≠j) form a presentation of W.

Proof.
What this means is the following: given a group G and elements gi∈G   (1≤i≤r) satisfying gi2=1,   (gigj)mij=1   (i≠j), there exists a homomorphism f:W→G (necessarily unique) such that f(si) = gi (1≤i≤r). Let w∈W and let (t1,...,tp) = t_ ∈ S(w). Since w=t1⋯tp we must have f(w) = f(t1)⋯f(tp) = F(t_) say. So we have to show that F(t_) = F(u_) if t_,u_∈S(w). Now in G we have gigjgi⋯ = gjgigj⋯ (mij terms on either side), i.e. f(si) f(sj) f(si) ⋯ = f(sj) f(si) f(sj) ⋯. Hence F(t_) = F(u_) if t_,u_ are joined by an edge in S(w). By Proposition 6.16 it follows that F(t_) = F(u_) for all t_,u_ ∈S(w), as required. So f is well defined and it remains to check that it is a homomorphism.

Consider f(siw): suppose first that ℓ(siw) = ℓ(w)+1. If w=t1⋯tp is a reduced expression, then siw = sit1⋯tp is also reduced, hence f(siw) = f(si) f(t1) ⋯ f(tp) = f(si) f(w). If on the other hand ℓ(siw) = ℓ(w)-1 Proposition 6.14, replace w by siw: f(w) = f(si) f(siw) and hence f(siw) = f(si)-1 f(w) = f(si) f(w) since f(si) = gi = gi-1.

So we have f(siw) = f(si) f(w) (IGM 11) in all cases. Hence if v∈W, v = u1⋯uq reduced, f(vw) = f(u1u2⋯uqw) = f(u1) f(u2⋯uqw) = ⋯ = f(u1) ⋯ f(uq) f(w) = f(v) f(w).

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Weyl chamber

R, B etc. as before. Recall that the Weyl chamber associated with B is C = {x∈V  |  ⟨x,αi⟩>0   (1≤i≤r)}. It is an open simplicial cone and its closure in V is C_ = {x∈V  |  ⟨x,αi⟩≥0   (1≤i≤r)}.

C_ is a fundamental domain for the action of W on V (i.e. every W-orbit in V meets C_ in exactly one point.)

Proof.
  1. (cf. Proposition 6.6) Let x∈V, let ρ = 12 ∑α>0 α, and choose w∈W so that ⟨wx,ρ⟩ is as large as possible. Then for i∈[1,r] we have ⟨wx,ρ⟩ ≥ ⟨siwx,ρ⟩ = ⟨wx,siρ⟩ = ⟨wx,ρ-αi⟩ Proposition 6.5 = ⟨wx,ρ⟩ - ⟨wx,αi⟩, so that ⟨wx,αi⟩ ≥0 and hence wx∈C_. So each W-orbit meets C_.
  2. Remains to prove that if x∈C_ and y=wx∈C_ then x=y (but it doesn't follow necessarily that w=1). We proceed by induction on ℓ(w). If ℓ(w)=0 then w=1, so y=x. If ℓ(w)>1 we can write w = siw′ with ℓ(w′) = ℓ(w)-1 (take a reduced word w=si⋯). Then w′ = siw, so that ℓ(w) = ℓ(siw)+1, hence w-1αi ∈ R- by Proposition 6.14. It follows that ⟨αi,y⟩ = ⟨αi,wx⟩ = ⟨w-1αi,x⟩ ≤ 0, (because x∈C_) but also ⟨αi,y⟩≥0 (because y∈C_). Hence ⟨αi,y⟩ = 0, i.e. siy=y and therefore w′x = siwx = siy = y. By the induction hypothesis we conclude that x=y.

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The set Vreg = V-⋃αHα is an open dense subset of V. By Lemma 6.15 Vreg = ⋃w∈WwC and V=Vreg_ = ⋃w∈WwC_, by taking closures.

It follows from Proposition 7.1 that Vreg is the disjoint union of the chambers wC (i.e. they don't overlap). For if x∈C, y=wx∈C where w≠1, the proof of Proposition 7.1 shows that ⟨αi,y⟩ =0 for some i, which contradicts y∈C. So if w≠1 we have C∩w-1C=∅.

Hence the chambers wC (w∈W) are the connected components of the topological space Vreg: each wC is a cone, hence convex, hence connected, also open.

The basis B corresponding to C may be described as follows:

Let α∈R+. Then α∈B  ⇔  C_∩Hα spans Hα.

Proof.
Let α∈R+, say α = ∑i=1r miαi. Let I = {i  |  mi≠0}. We have x∈C_∩Hα ⇔ ⟨αi,x⟩≥0   (1≤i≤r) and ⟨α,x⟩ = ∑i∈I mi ⟨αi,x⟩ =0 ⇔ ⟨αi,x⟩≥0   (1≤i≤r) and ⟨αi,x⟩ = 0 (i∈I). It follows that C_∩Hα ⊆ ⋂i∈I Hαi, of dimension r-|I|. Hence C_∩Hα spans Hα  ⇔  |I|=1  ⇔  α∈B.

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As a corollary:

Let B be a basis of R. Then B∨ is a basis of R∨.

Proof.
Follows from Proposition 7.1a, since Hα=Hα∨.

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Let (v1,...,vr) be the basis of V dual to B = (α1,...,αr): ⟨αi,vj⟩ = δij. If x∈V we have x = ∑i=1r ⟨x,αi⟩vi so that C_ is the cone consisting of all nonnegative linear combinations of the dual basis vectors vi.

The dual cone C*_ consists of the nonnegative linear combinations of the αi, and we have x∈C*_  ⇔  ⟨x,vi⟩ ≥0   (1≤i≤r). (acute cone and obtuse cone: pictures for A2,B2,G2). We make use of C*_ to define a partial order on V: if x,y∈V then x≥y means that x-y ∈ C*_, i.e. x-y = ∑i=1r ciαi with   ci∈ℝ,  ci≥0, or equivalently ⟨x-y,vi⟩ ≥ 0   (1≤i≤r).

Example. Suppose R is of type An-1, αi = ei-ei+1   (1≤i≤n-1); V⊆ℝn is the hyperplane perpendicular to e = 1n (e1+⋯+en). We have ⟨ei,e⟩ = 1n = ⟨e,e⟩ , so that e′i = ei-e ∈V. The dual basis is (v1,...,vn-1) where vi = e′1 +⋯+ e′i = e1 +⋯+ ei- ine = 1n ( n-i,...,n-i, ⏟ i -i,...,-i ⏟ n-i ).

Let x = ∑i=1n xiei,   y = ∑i=1n yiei ∈V. Then ⟨x,vi⟩ = x1+⋯+xi, hence x≥y  ⇔  x1+⋯+xi ≥ y1+⋯+yi (1≤i≤n-1) (note that x1+⋯+xn = y1+⋯+yn = 0 ) the dominance partial order.

Let x∈V. Then the following are equivalent:

  1. x≥wx, all w∈W,
  2. x≥six  (1≤i≤r),
  3. x∈C_.

Proof.
(i) ⇒ (ii): obvious.

(ii) ⇒ (iii): We have x-six = ⟨αi∨,x⟩ αi from Proposition 2.1, hence x≥six means that ⟨αi∨,x⟩≥0 or equivalently ⟨αi,x⟩≥0   (1≤i≤r), i.e. x∈C_.

(iii) ⇒ (i): Let x∈C_, w∈W. Induction on ℓ(w). ℓ(w)=0 implies w=1, OK. Suppose ℓ(w)≥1. Then w=w′si for some i∈[1,r] and ℓ(w′) = ℓ(w)-1 (take a reduced expression for w ending with si). We have x-wx = (x-w′x) + w′(x-six). Now x-w′x≥0 (induction hypothesis), and w′(x-six) = w(six-x) = -⟨αi∨,x⟩ wαi; by Proposition 6.14 (with w replaced by w-1) we have wαi<0, hence ⟨αi∨,x⟩ wαi≥0. So x-wx≥0 as required.

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Let x∈V and let Rx = {α∈R  |  ⟨x,α⟩=0} Wx = {w∈W  |  w(x)=x} = isotropy group of x in W. (So Rx=∅ if and only if x is regular.)

If x∈V is not regular, then Rx is a root system and Wx is its Weyl group.

Proof.
  1. Let α,β∈Rx, then ⟨α∨,β⟩ ∈ℤ and x∈Hα, so that ⟨sαβ,x⟩ = ⟨β,sαx⟩ = ⟨β,x⟩ = 0, so that sαβ∈Rx. So Rx is a root system.
  2. Let W′x = ⟨sα  |  ⟨α,x⟩=0⟩. Clearly W′x is a subgroup of Wx and we have to show W′x = Wx. If y=ux (u∈W) then ⟨α,y⟩=0  ⇔  ⟨u-1α,x⟩=0, and hence W′y is generated by the su-1α = u-1sαu where α∈Rx, so that W′y = u-1W′xu and likewise Wy = u-1Wxu.

    Choose u∈W such that y=ux∈C_. Enough to show W′y=Wy. So let w∈Wy, i.e. y=wy. The proof of Proposition 7.5 shows that if w≠1 then w=siw′ with ℓ(w′) < ℓ(w) and si(y) = 0, so that w′y = siwy = siy = y i.e. w′∈Wy. By induction on ℓ(w) we may assume w′∈W′y and then w=siw′ ∈W′y.

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(So the isometry group of x∈V is generated by the reflections it contains.)

If x∈C_, Rx=RI with basis BI = {αi  |  ⟨x,αi⟩=0}.

References

I.G. Macdonald
Issac Newton Institute for the Mathematical Sciences
20 Clarkson Road
Cambridge CB3 OEH U.K.

Version: October 30, 2001

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