Generalized triangle inequalities and their applicationskapovich/EPR/sbslides1.pdf · Euclidean...

Generalized triangle inequalities and theirapplications

Misha Kapovichwith Bernhard Leeb and John Millson

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GEOMETRY

R2 H2 TreeRank 1

Spaces:

Distances: R+ R+ R+

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Triangles

α β αγ

Triangle inequalities: γ ≤ α + β.

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Digression: symmetric spaces and buildings

Nonpositively curved symmetric space X:

1. A simply-connected nonpositively curved Riemannianmanifold.2. At each point x ∈ X there exists an isometric involutionσx : X → X fixing x so that dσx : TxX → TxX is −Id.Key feature: X is homogeneous, i.e. G = Isom(X) istransitive.

Example 1: X = Symm, the space of positive-definitesymmetric m×m matrices. Metric at 1 is 〈A,B〉 = tr(AB).The isometry group is GL(m, R), stabilizer of 1 is K = O(m).

Example 2: X = H2, positive-definite symmetric 2× 2matrices of unit determinant.

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Nonpositively curved symmetric space X:1. A simply-connected nonpositively curved Riemannianmanifold.

2. At each point x ∈ X there exists an isometric involutionσx : X → X fixing x so that dσx : TxX → TxX is −Id.Key feature: X is homogeneous, i.e. G = Isom(X) istransitive.

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Nonpositively curved symmetric space X:1. A simply-connected nonpositively curved Riemannianmanifold.2. At each point x ∈ X there exists an isometric involutionσx : X → X fixing x so that dσx : TxX → TxX is −Id.

Key feature: X is homogeneous, i.e. G = Isom(X) istransitive.

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Nonpositively curved symmetric space X:1. A simply-connected nonpositively curved Riemannianmanifold.2. At each point x ∈ X there exists an isometric involutionσx : X → X fixing x so that dσx : TxX → TxX is −Id.Key feature: X is homogeneous, i.e. G = Isom(X) istransitive.

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Infinitesimal symmetric space

Infinitesimal symmetric space: X ′ := p = ToX where o ∈ X,X is a symmetric space.

The automorphism group of X ′ is the Cartan motion groupK n p.

Example 1: X = symm, the space of symmetric m×mmatrices. The automorphism group isK = O(m) n Rm(m+1)/2.

Example 2: X = H3, X ′ = R3, Aut(X ′) = O(3) n R3.

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Euclidean buildings

Simplicial analogues X of symmetric spaces.

Automorphism group of X is a nonarchimedean Lie group,e.g. GL(m, Qp).

Common features of infinitesimal symmetric spaces,symmetric spaces, buildings:1. Nonpositive curvature (in the sense of Alexandrov forbuildings).2. Every two points belong to an apartment, anisometrically embedded copy of the Euclidean m-space A.The number m is called the rank of X.3. The way the apartments are glued together is governedby a finite reflection group W (Weyl group) operating on Aisometrically.

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Euclidean buildings

Simplicial analogues X of symmetric spaces.Automorphism group of X is a nonarchimedean Lie group,e.g. GL(m, Qp).

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Euclidean buildings

Common features of infinitesimal symmetric spaces,symmetric spaces, buildings:

1. Nonpositive curvature (in the sense of Alexandrov forbuildings).2. Every two points belong to an apartment, anisometrically embedded copy of the Euclidean m-space A.The number m is called the rank of X.3. The way the apartments are glued together is governedby a finite reflection group W (Weyl group) operating on Aisometrically.

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Euclidean buildings

Common features of infinitesimal symmetric spaces,symmetric spaces, buildings:1. Nonpositive curvature (in the sense of Alexandrov forbuildings).

2. Every two points belong to an apartment, anisometrically embedded copy of the Euclidean m-space A.The number m is called the rank of X.3. The way the apartments are glued together is governedby a finite reflection group W (Weyl group) operating on Aisometrically.

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Euclidean buildings

Common features of infinitesimal symmetric spaces,symmetric spaces, buildings:1. Nonpositive curvature (in the sense of Alexandrov forbuildings).2. Every two points belong to an apartment, anisometrically embedded copy of the Euclidean m-space A.The number m is called the rank of X.

3. The way the apartments are glued together is governedby a finite reflection group W (Weyl group) operating on Aisometrically.

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Euclidean buildings

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Apartments

Fundamental domain ∆ of W is called a Weyl chamber.

alcove

Example: X = H2 or a tree. Apartments are lines.Chambers are rays. W = Z/2

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Apartments

alcove

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Apartments

alcove

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Buildings

A lame attempt to draw a rank 2 Euclidean building.

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∆-valued distance function

Definition. Let x, y ∈ A. Consider the vector −→xy with tail atthe origin=tip of ∆, then apply an element w ∈W to movethis vector to the chamber ∆.

The resulting vector

−→oy′ = d∆(x, y) = ∆-valued distance from x to y.

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Definition. Let x, y ∈ A. Consider the vector −→xy with tail atthe origin=tip of ∆, then apply an element w ∈W to movethis vector to the chamber ∆. The resulting vector

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Definition. Let x, y ∈ A. Consider the vector −→xy with tail atthe origin=tip of ∆, then apply an element w ∈W to movethis vector to the chamber ∆. The resulting vector

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Distance in a symmetric space/building

If x, y are in a symmetric space or a building X, draw anapartment A ⊂ X through x, y and apply the abovedefinition.

Example 1. X has rank 1. Then d∆(x, y) = d(x, y)—nothingnew.

Example 2. X = symm, infinitesimal symmetric space. Thend(o, x) is the set of eigenvalues of x arranged in thedescending order.

Example 3. X = Symm, symmetric space. Then d(1, x) isthe set of singular values of x arranged in the descendingorder.

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Summary

Spaces : p = ToX X = G/K buildingAutomorphisms: p o K G Gp

∆-Distances: ∆ ∆ ∆

Triangles:

α β α β

In the case of symmetric and infinitesimal symmetric spaces,

d∆(x, y) is a complete congruence invariant of [x, y].. – p.11/31

Generalized Triangle Inequalities

Define D3(X) = {(α, β, γ) ∈ ∆3: there exists a triangle in Xwith the side-lengths α, β, γ}.

Problem: Given X compute D3(X).In the rank 1 case the usual triangle inequalities define ∆.

Necessary conditions:Let ∆∗ = {v : ∀u ∈ ∆, u · v ≥ 0} be the dual cone of ∆. Then:

1. α ≤∆∗ β + γ, i.e. β + γ − α ∈ ∆∗; and S3-permutations ofthis inequality. In rank 1 case this is (of course) enough.

More generaly:

2. wα ≤∆∗ wβ + γ,∀w ∈W

and permutations of α, β, γ. In rank 2 case this is enough.

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Define D3(X) = {(α, β, γ) ∈ ∆3: there exists a triangle in Xwith the side-lengths α, β, γ}.Problem: Given X compute D3(X).

In the rank 1 case the usual triangle inequalities define ∆.Necessary conditions:

Let ∆∗ = {v : ∀u ∈ ∆, u · v ≥ 0} be the dual cone of ∆. Then:

More generaly:

2. wα ≤∆∗ wβ + γ,∀w ∈W

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Define D3(X) = {(α, β, γ) ∈ ∆3: there exists a triangle in Xwith the side-lengths α, β, γ}.Problem: Given X compute D3(X).In the rank 1 case the usual triangle inequalities define ∆.

More generaly:

2. wα ≤∆∗ wβ + γ,∀w ∈W

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Necessary conditions:

Let ∆∗ = {v : ∀u ∈ ∆, u · v ≥ 0} be the dual cone of ∆. Then:

More generaly:

2. wα ≤∆∗ wβ + γ,∀w ∈W

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More generaly:

2. wα ≤∆∗ wβ + γ,∀w ∈W

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More generaly:

2. wα ≤∆∗ wβ + γ,∀w ∈W

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More generaly:

2. wα ≤∆∗ wβ + γ,∀w ∈W

and permutations of α, β, γ. In rank 2 case this is enough.. – p.12/31

Solution

Theorem (K.–Leeb–Millson). 1. D3(X) is a polyhedral convexhomogeneous cone in ∆3.

2. D3(X) depends only on the (finite) Weyl group W andnothing else.3. (Also [Klyachko, Belkale, Berenstein–Sjamaar,Kumar-Belkale]): The system of linear inequalities (GTI)defining D3(X) can be computed in terms of “Schubertcalculus” for generalized Grassmanians associated with thecomplex semisimple Lie groups.

Schubert calculus: computation of the cohomology ringsH∗(G/P, Z), where P is a maximal parabolic subgroup.

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Solution

Theorem (K.–Leeb–Millson). 1. D3(X) is a polyhedral convexhomogeneous cone in ∆3.2. D3(X) depends only on the (finite) Weyl group W andnothing else.

3. (Also [Klyachko, Belkale, Berenstein–Sjamaar,Kumar-Belkale]): The system of linear inequalities (GTI)defining D3(X) can be computed in terms of “Schubertcalculus” for generalized Grassmanians associated with thecomplex semisimple Lie groups.

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Solution

Theorem (K.–Leeb–Millson). 1. D3(X) is a polyhedral convexhomogeneous cone in ∆3.2. D3(X) depends only on the (finite) Weyl group W andnothing else.3. (Also [Klyachko, Belkale, Berenstein–Sjamaar,Kumar-Belkale]): The system of linear inequalities (GTI)defining D3(X) can be computed in terms of “Schubertcalculus” for generalized Grassmanians associated with thecomplex semisimple Lie groups.

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Solution

Theorem (K.–Leeb–Millson). 1. D3(X) is a polyhedral convexhomogeneous cone in ∆3.2. D3(X) depends only on the (finite) Weyl group W andnothing else.3. (Also [Klyachko, Belkale, Berenstein–Sjamaar,Kumar-Belkale]): The system of linear inequalities (GTI)defining D3(X) can be computed in terms of “Schubertcalculus” for generalized Grassmanians associated with thecomplex semisimple Lie groups.

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ALGEBRA

For α, β, γ ∈ ∆ ⊂ Rm = {λ : λ1 ≥ λ2 ≥ ... ≥ λm}:

P1. Eigenvalues of a sum. Give necessary and sufficientconditions on α, β and γ in order that there exist symmetricmatrices A, B and C such that the set of eigenvalues(arranged in decreasing order) of A, B, C is α, β, γrespectively and

A + B + C = 0. ⇐⇒ A + B = −C.

P2. Singular values of a product. Give necessary andsufficient conditions on α, β and γ in order that there existmatrices A, B and C in GL(m, R) the logarithms of whosesingular values are α, β and γ, respectively, so that

ABC = 1.

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ALGEBRA

For α, β, γ ∈ ∆ ⊂ Rm = {λ : λ1 ≥ λ2 ≥ ... ≥ λm}:P1. Eigenvalues of a sum. Give necessary and sufficientconditions on α, β and γ in order that there exist symmetricmatrices A, B and C such that the set of eigenvalues(arranged in decreasing order) of A, B, C is α, β, γrespectively and

A + B + C = 0.

⇐⇒ A + B = −C.

ABC = 1.

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ALGEBRA

A + B + C = 0. ⇐⇒ A + B = −C.

ABC = 1.

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ALGEBRA

A + B + C = 0. ⇐⇒ A + B = −C.

ABC = 1.

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Linear algebra digression

Singular values: Compute eigenvalues λ1 ≥ ... ≥ λm of√AA∗. They are called singular values of A.

A = UDiag(λ1, ..., λm)V

U, V ∈ O(m) (singular value decomposition).

Smith normal form: given a matrix A ∈ GL(m, Qp) multiply A

on the left and right by square integer matrices to get adiagonal matrix Diag(p−λ1, ..., p−λm) (Gauss-Jordanelimination).The matrix Diag(p−λ1, ..., p−λm) is called Smith normal formof A.The integers λ1 ≥ ... ≥ λm are called invariant factors of A.(−logp of the diagonal entries.)

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Singular values: Compute eigenvalues λ1 ≥ ... ≥ λm of√AA∗. They are called singular values of A. Then

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on the left and right by square integer matrices to get adiagonal matrix Diag(p−λ1, ..., p−λm) (Gauss-Jordanelimination).

The matrix Diag(p−λ1, ..., p−λm) is called Smith normal formof A.The integers λ1 ≥ ... ≥ λm are called invariant factors of A.(−logp of the diagonal entries.)

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Representation theory

m-tuples of integers α = (λ1 ≥ ... ≥ λm) parameterizeirreducible representations Vα of GL(m, C); α is the highestweight of Vα.

We are now ready to state two other algebra problems.

Below α, β, γ ∈ ∆ ∩ Zm are dominant weights of SL(m, C):

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2 discrete problems

P3. Invariant factors of a product. Give necessary andsufficient conditions on the integer vectors α, β and γ inorder that there exist matrices A, B and C in GL(m, Qp) withinvariant factors α, β and γ, respectively, so that

ABC = 1.

⇐⇒ AB = C−1.

P4. Decomposing tensor products. Give necessary andsufficient conditions on α, β and γ so that

(Vα ⊗ Vβ ⊗ Vγ)GL(m,C) 6= 0.

⇐⇒ V ∗

γ ⊂ Vα ⊗ Vβ.

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2 discrete problems

ABC = 1. ⇐⇒ AB = C−1.

(Vα ⊗ Vβ ⊗ Vγ)GL(m,C) 6= 0.

⇐⇒ V ∗

γ ⊂ Vα ⊗ Vβ.

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2 discrete problems

ABC = 1. ⇐⇒ AB = C−1.

(Vα ⊗ Vβ ⊗ Vγ)GL(m,C) 6= 0.

⇐⇒ V ∗

γ ⊂ Vα ⊗ Vβ.

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2 discrete problems

ABC = 1. ⇐⇒ AB = C−1.

(Vα ⊗ Vβ ⊗ Vγ)GL(m,C) 6= 0.

⇐⇒ V ∗

γ ⊂ Vα ⊗ Vβ.

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Generalization to other groups

The above algebra problems make sense for other(reductive) Lie groups G, like Sp(m), O(m). So we haveproblem P1, P2, P3, P4 for groups G(C), G(R), G(Qp) (e.g.O(m, C), Sp(m, Qp)).

Instead of eigenvalues, singular values, invariant factorsone works with Cartan decompositions.

In place of Zm in P3 one uses the cocharacter lattice L of amaximal torus; in case of P4 this is the character lattice L.

Let Sol(Pi,G) denote the solution set of the problem Pi for

the group G.

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the group G.

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the group G.

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the group G.

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It turns out that there is an “obvious” condition that solutionsof P3, P4 have to satisfy:

δ = α + β + γ ∈ Q(R∨), Q(R),

the coroot and root lattices respectively.

For SL(m) it just means that the sum of coordinates of thevector δ is zero.

Hence I will assume that α, β, γ ∈ L and that the “sum”condition is satisfied whenever we discuss problems P3, P4.

So far we have discussed problems, it is time to talk aboutthe answers!

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δ = α + β + γ ∈ Q(R∨), Q(R),

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δ = α + β + γ ∈ Q(R∨), Q(R),

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δ = α + β + γ ∈ Q(R∨), Q(R),

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Relation between algebra and geometry

Associate with g1, g2, g3 ∈ G the polygonal chain in X withthe (four) vertices

o, g1(o), g1g2(o), g1g2g3(o).

Then g1g2g3 = 1 corresponds to the triangle in X, with∆-side lengths α = d∆(o, g1(o)), β = d∆(o, g2(o)), etc.Therefore

D3(X) = Sol(P2, G), for a symmetric space X = G/K,

D3(X′) = Sol(P1, G),

for the infinitesimal symmetric space X ′ = ToX.

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o, g1(o), g1g2(o), g1g2g3(o).

Then g1g2g3 = 1 corresponds to the triangle in X, with∆-side lengths α = d∆(o, g1(o)), β = d∆(o, g2(o)), etc.

Therefore

D3(X′) = Sol(P1, G),

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o, g1(o), g1g2(o), g1g2g3(o).

D3(X′) = Sol(P1, G),

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o, g1(o), g1g2(o), g1g2g3(o).

D3(X′) = Sol(P1, G),

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GL(m) case

Sol(P1, GL(m,C))

Klyachko

Sol(P4, GL(m,C))

Hall Klein

Knutson and TaoSaturation theorem,D (sym )

+ xxSol(P2, GL(m,C)) Sol(P3, GL(m,Q ))p

Recall that Sol(P3), Sol(P4) are contained in certainlattices. Namely:

α, β, γ ∈ L, α + β + γ ∈ Q(R∨).

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GL(m) case

Sol(P1, GL(m,C))

Klyachko

Sol(P4, GL(m,C))

Hall Klein

Recall that Sol(P3), Sol(P4) are contained in certainlattices. Namely:

α, β, γ ∈ L, α + β + γ ∈ Q(R∨).

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GL(m) case

Sol(P1, GL(m,C))

Klyachko

Sol(P4, GL(m,C))

Hall Klein

KLM KLM,

Knutson—Tao, Hall and Klein— combinatorics.KLM P4 ⊂ P3— Satake correspondence (a kind of Fouriertransform).P2 = P3— geometry.

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GL(m) case

Sol(P1, GL(m,C))

Klyachko

Sol(P4, GL(m,C))

Hall Klein

KLM KLM,

Knutson—Tao, Hall and Klein— combinatorics.KLM P4 ⊂ P3— Satake correspondence (a kind of Fouriertransform).P2 = P3— geometry.

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General case

KLM KLM

Alexeev−Meinreeken−WoodwardEvens−Lu

Sol(P1, G(R)) Sol(P2, G(R))

vSol(P4, G (C))

KLM, Haines, KMKLM

Sol(P3, G(Q ))

. – p.23/31

General case

KLM KLM

lattice points

vSol(P4, G (C))

KLM, Haines, KMKLM

Saturation theorem (KM)

Sol(P3, G(Q ))

The number k is the saturation constant, depends only onthe group G. For GL(m), k = 1!The current values of k are described on the next slide.Multiplication by 2 is needed for all non-simply lacedgroups.

Conjecture: One can take k = 1 in the simply laced and k = 2in the non-simply laced case.

. – p.24/31

General case

KLM KLM

lattice points

vSol(P4, G (C))

KLM, Haines, KMKLM

Sol(P3, G(Q ))

The number k is the saturation constant, depends only onthe group G. For GL(m), k = 1!The current values of k are described on the next slide.

Multiplication by 2 is needed for all non-simply lacedgroups.

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General case

KLM KLM

lattice points

vSol(P4, G (C))

KLM, Haines, KMKLM

Sol(P3, G(Q ))

. – p.24/31

General case

KLM KLM

lattice points

vSol(P4, G (C))

KLM, Haines, KMKLM

Sol(P3, G(Q ))

Conjecture: One can take k = 1 in the simply laced and k = 2in the non-simply laced case. . – p.24/31

Picture of Sol(P4)

3D (X)

not in Sol(P4)

in Sol(P4)

3D (X)+

? ?? ? ?? ? ? ?

can be explicitely estimatedσ

. – p.25/31

Current saturation factors k:

Root system R Group G k

Am SL(m + 1), GL(m + 1) 1

Bm SO(2m + 1), Spin(2m + 1) 2

Cm Sp(2m), PSp(2m) 2

Dm Spin(2m), SO(2m) 2

G2 G 2

F4 G 12

E6 G 6

E7 G 12

E8 G 60

. – p.26/31

Gauss map

Gauss: Triangles −→ weighted configurations at infinity.[x1, x2, x3] −→ ((ξ1,m1), (ξ2,m2), (ξ3,m3))

We would like to invert this map.

. – p.27/31

Gauss map

Gauss: Triangles −→ weighted configurations at infinity.[x1, x2, x3] −→ ((ξ1,m1), (ξ2,m2), (ξ3,m3))

We would like to invert this map.

. – p.27/31

Fixed point problem

A fixed point problem for the map Φ : x1 → x4. Existence⇐⇒ the weighted configuration at infinity is nicesemistable.

. – p.28/31

Proof that D3 depends on W only

How to transport triangles from one symmetric space(building) to another.

Suppose that X is a nonpositively curved symmetric space,∂∞X is the ideal boundary of X.

Cone(X) is a Euclidean building attached to X (e.g. theasymptotic cone or cone over infinity).

Let X and X ′ have the same (finite) Weyl group.

. – p.29/31

Triangles in X?←→ Triangles in X ′

l Gauss l Gauss

Semistable configura-tions in ∂∞X

Semistable configura-tions in ∂∞X ′

l Gauss l Gauss

Triangles in Cone(X)transfer←→ Triangles in Cone(X ′)

. – p.30/31

References

1. M. Kapovich, B. Leeb, J. J. Millson, Convex functions onsymmetric spaces, side lengths of polygons and thestability inequalities for weighted configurations at infinity,Preprint, 2004.

2. M. Kapovich, J. J. Millson and B. Leeb, Polygons inbuildings and their side-lengths, Preprint, 2004.

3. M. Kapovich, J. J. Millson and B. Leeb, Polygons insymmetric spaces and buildings with applications toalgebra, Preprint, 2004.

4. M. Kapovich, J. J. Millson, A path model for geodesics inEuclidean buildings and its applications to therepresentation theory, Preprint, 2004.

. – p.31/31

Generalized triangle inequalities and their applicationskapovich/EPR/sbslides1.pdf · Euclidean...

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