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Marsden- Weinstein Ruijsenaars-Schneider system from reduction Quasi- quasi-Hamiltonian reduction Hamiltonian reduction Classification of compact integrable Timo Kluck systems Larger coupling Mathematisch Instituut, Universiteit


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Marsden- Weinstein reduction Quasi- Hamiltonian reduction Classification

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Ruijsenaars-Schneider system from quasi-Hamiltonian reduction

Timo Kluck

Mathematisch Instituut, Universiteit Utrecht

February 8, 2013

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Main point

We will explain the integrability of the compact, trigonometric Ruijsenaars-Schneider system as a consequence of the symmetry

  • f a much simpler dynamical system on SU(N) × SU(N).
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The trigonometric Ruijsenaars-Schneider system

The compact trigonometric Ruijsenaars-Schneider model is the following:

◮ N particles on a circle, with coordinates qi ∈ [0, π) for

i = 1, · · · , N .

◮ Hamiltonian with y ∈ (0, π) a real coupling parameter:

H =

N

  • i=1

cos pi

  • ji

     1 − sin2 y sin2 (qi − qj)      

1/2

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The trigonometric Ruijsenaars-Schneider system

The compact trigonometric Ruijsenaars-Schneider model is the following:

◮ N particles on a circle, with coordinates qi ∈ [0, π) for

i = 1, · · · , N .

◮ Hamiltonian with y ∈ (0, π) a real coupling parameter:

H =

N

  • i=1

cos pi

  • ji

     1 − sin2 y sin2 (qi − qj)      

1/2 ◮ The requirement

  • qi − qj
  • ≥ y guarantees that all square

roots are real, which only has nonempty solutions if y ≤ π

N .

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The trigonometric Ruijsenaars-Schneider system

The compact trigonometric Ruijsenaars-Schneider model is the following:

◮ N particles on a circle, with coordinates qi ∈ [0, π) for

i = 1, · · · , N .

◮ Hamiltonian with y ∈ (0, π) a real coupling parameter:

H =

N

  • i=1

cos pi

  • ji

     1 − sin2 y sin2 (qi − qj)      

1/2 ◮ The requirement

  • qi − qj
  • ≥ y guarantees that all square

roots are real, which only has nonempty solutions if y ≤ π

N .

◮ Why is this integrable? Where do the symmetries come

from?

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Outline

  • 1. Simple example: Marsden-Weinstein reduction “explains”

integrability in the rational Calogero-Moser system

  • 2. Similarly, quasi-Hamiltonian reduction explains integrability

in the current case

  • 3. Classification of compact integrable systems allow us to

describe the topology of the reduced space (it is just CPN−1)

  • 4. New work: extension to coupling parameter values y > π

N

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Outline

Marsden-Weinstein reduction Quasi-Hamiltonian reduction Classification of compact integrable systems Larger coupling parameter

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Rational Calogero-Moser system

Example

M ⊆ T ∨RN, interpreted as positions and momenta of N particles in 1 dimension with center-of-mass set to 0. H = 1 2

N

  • i=1

p2

i −

  • i<j

ϵ2 (qi − qj)2

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Rational Calogero-Moser system

Example

M ⊆ T ∨RN, interpreted as positions and momenta of N particles in 1 dimension with center-of-mass set to 0. H = 1 2

N

  • i=1

p2

i −

  • i<j

ϵ2 (qi − qj)2

Theorem (Calogero)

This is an 2(N − 1)-dimensional integrable system, with Hamiltonians given by Hk = Tr Lk, where L is the traceless matrix L =              p1

ϵ qi −qj

...

ϵ qi −qj

pN             

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Rational Calogero-Moser system (ctd)

So some of these Hamiltonians are: H1 =

N

  • i=1

pi = 0 H2 =

N

  • i=1

p2

i −

  • ij

ϵ2 (qi − qj)2 (= 2H) H3 =

N

  • i=1

p3

i −

  • ij

pi ϵ2 (qi − qj)2 +

  • i ,j,k distinct

ϵ3 (qi − qj)(qj − qk)(qk − qi)

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Rational Calogero-Moser system (ctd)

Question

Where do all these symmetries / conserved quantities come from?

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Rational Calogero-Moser system (ctd)

Question

Where do all these symmetries / conserved quantities come from?

“Answer”

They exist because the motion is very simple (linear) in the matrix space.

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Linear motion in a matrix space

◮ G = SL(N), g = sl(N) ◮ Phase space M = T ∨g = g × g using Killing pairing ◮ Hamiltonian H(P, Q) = 1

2 P, P

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Linear motion in a matrix space

◮ G = SL(N), g = sl(N) ◮ Phase space M = T ∨g = g × g using Killing pairing ◮ Hamiltonian H(P, Q) = 1

2 P, P

◮ Solution for given initial value (P0, Q0):

P(t) = P0 Q(t) = Q0 + tP0

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Linear motion in a matrix space (ctd)

◮ Symmetric under adjoint action of G on g:

  • H and ω invariant under conjugation

P, Q → gPg −1, gQg −1

  • Time evolution commutes with G-action

◮ Conserved quantities in involution:

Hk = Tr Pk

◮ Also invariant under conjugation ◮ But too few: dim M = 2

  • n2 − 1
  • > 2(n − 1)
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Marsden-Weinstein reduction

Idea

◮ Since everything is G-invariant, we can quotient out by it. ◮ Hopefully, this reduces the dimension sufficiently to end up

with an integrable system.

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Marsden-Weinstein reduction

Idea

◮ Since everything is G-invariant, we can quotient out by it. ◮ Hopefully, this reduces the dimension sufficiently to end up

with an integrable system.

◮ But we also need to keep a non-degenerate symplectic form:

  • If we quotient out a tangent vector ξ ∈ TM, then we

should also quotient out its image ω(ξ ) ∈ T ∨M. Dually, that means restricting to a submanifold.

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Marsden-Weinstein reduction (ctd)

Definition

A group action of G on M is Hamiltonian if its infinitesimal vector fields vξ for ξ ∈ g are of the form vξ = {fξ , ·}

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Marsden-Weinstein reduction (ctd)

Definition

A group action of G on M is Hamiltonian if its infinitesimal vector fields vξ for ξ ∈ g are of the form vξ = {fξ , ·}

Definition

A Hamiltonian group action is generated by a moment map µ : M → g∨ if fξ = µ, ξ and if µ is G-equivariant.

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Marsden-Weinstein reduction (ctd)

Definition

A group action of G on M is Hamiltonian if its infinitesimal vector fields vξ for ξ ∈ g are of the form vξ = {fξ , ·}

Definition

A Hamiltonian group action is generated by a moment map µ : M → g∨ if fξ = µ, ξ and if µ is G-equivariant.

Important example

A commuting set of Hamiltonians h = (h1, · · · , hn) forms a moment map for an Rn-action, or for a Tn-action.

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Marsden-Weinstein reduction (ctd)

Theorem (Marsden, Weinstein)

If µ0 ∈ g∨ is a regular value of µ, then the space µ−1(µ0)/Gµ0 is a symplectic manifold.

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Marsden-Weinstein reduction (ctd)

Theorem (Marsden, Weinstein)

If µ0 ∈ g∨ is a regular value of µ, then the space µ−1(µ0)/Gµ0 is a symplectic manifold. “The moment map and the G-action work together to keep the symplectic form non-degenerate”

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Reduction of linear motion

Fact

µ(P, Q) = [P, Q] ∈ g g∨ is a moment map for the conjugation action.

Theorem

Pick the following regular value µ0 ∈ g g∨: µ0 = −ϵ            1 · · · 1 . . . ... . . . 1 · · · 1            + ϵ            1 ... 1            Then p, q parametrize the Gµ0-equivalence classes in µ−1(µ0) by P(p, q), Q(p, q) =              p1

ϵ qi −qj

...

ϵ qi −qj

pN              ,            q1 ... qN            and they are canonical coordinates on µ−1(µ0)/Gµ0.

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Recap

◮ Linear motion

t → P0, Q0 + tP0 has N − 1 conserved quantities in a 2(N2 − 1) dimensional phase space.

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Recap

◮ Linear motion

t → P0, Q0 + tP0 has N − 1 conserved quantities in a 2(N2 − 1) dimensional phase space.

◮ Is is also symmetric under conjugation

P, Q → gPg −1, gQg −1

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Recap

◮ Linear motion

t → P0, Q0 + tP0 has N − 1 conserved quantities in a 2(N2 − 1) dimensional phase space.

◮ Is is also symmetric under conjugation

P, Q → gPg −1, gQg −1

◮ Quotienting out and restricting yields a 2(N − 1)

dimensional space: the Calogero-Moser integrable system

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Outline

Marsden-Weinstein reduction Quasi-Hamiltonian reduction Classification of compact integrable systems Larger coupling parameter

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Quasi-Hamiltonian manifold

◮ First studied by Alekseev, Malkin and Meinrenken (1998). ◮ A quasi-Hamiltonian manifold M has:

  • a G-action;
  • a G-equivariant map µ : M → G (called moment map);
  • a G-invariant 2-form ω such that dω = − 1

12 µ∗(θ, [θ, θ]),

with θ, ¯ θ the Maurer-Cartan forms;

  • Relation between moment map and G-action:

ω(vξ , ·) = 1 2 µ∗(θ + ¯ θ, ξ )

  • The form ω is maximally non-degenerate:

ker ωx =

  • vξ (x) | ξ ∈ ker
  • Adµ(x) +id
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Quasi-Hamiltonian manifold (ctd)

These axioms guarantee the following:

  • 1. To G-invariant functions h, we can associate a flow given

by the vector field vh such that ω(vh, ·) = dh and Lvhµ = 0; and we can define the quasi-Hamiltonian reduction at µ0:

  • 2. If µ0 ∈ G is a regular value for µ, then µ−1(µ0)/Gµ0 is a

symplectic manifold;

  • 3. G-invariant functions with commuting flows descend to

Poisson-commuting functions on the reduced space.

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Comparison with Marsden-Weinstein reduction

◮ Moment map takes values in G instead of g∨ ◮ Tighter relation between moment map and 2-form. ◮ Big phase space is not a Poisson manifold: only G-invariant

Hamiltonians have an associated flow

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Comparison with Marsden-Weinstein reduction

◮ Moment map takes values in G instead of g∨ ◮ Tighter relation between moment map and 2-form. ◮ Big phase space is not a Poisson manifold: only G-invariant

Hamiltonians have an associated flow

◮ There is a correspondence between quasi-Hamiltonian

reduction with respect to G and Marsden-Weinstein reduction with respect to the loop group LG.

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Big phase space

◮ We let

M = SU(N) × SU(N) with simultaneous conjugation action, and moment map µ(A, B) = ABA−1B −1 and 2-form ω = A−1dA ∧ dB B −1 + dA A−1 ∧ B −1dB − (AB)−1d(AB) ∧ (BA)−1d(BA)

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Reminder

The N − 1 simplex ∆N−1 are all vectors ξ = (ξ1, · · · , ξN) with nonnegative coefficients such that ξ1 + · · · + ξN = π

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Invariant functions on SU(N)

◮ Since SU(N) is compact, any group element is

diagonalizable.

◮ Set of diagonal entries ordered counterclockwisely with

increasing argument:

  • e2iγi | 1 ≤ i ≤ N
  • ◮ We define

ξi := γi − γi−1 2 ≤ i ≤ N ξ1 := π + γ1 − γN

◮ Ambiguity: which is the first γi? Converse ambiguity: given

ξ , can we recover the γi’s?

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Invariant functions on SU(N)

◮ Since SU(N) is compact, any group element is

diagonalizable.

◮ Set of diagonal entries ordered counterclockwisely with

increasing argument:

  • e2iγi | 1 ≤ i ≤ N
  • ◮ We define

ξi := γi − γi−1 2 ≤ i ≤ N ξ1 := π + γ1 − γN

◮ Ambiguity: which is the first γi? Converse ambiguity: given

ξ , can we recover the γi’s?

◮ These cyclic ambiguities ‘cancel’ to give a correspondence

between conjugacy classes in SU(N) and ∆N−1

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Invariant functions on SU(N) (ctd)

◮ Define

ξ ←→ δ(ξ ) for the diagonal matrix corresponding to the value ξ ∈ ∆N−1

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Invariant functions on the big phase space

We define α(A, B) = ξ (A) H(A, B) = 1 2

  • Tr(A) + Tr(A†)
  • β(A, B)

= ξ (B)

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Dynamics on the big phase space

◮ The flow generated by α acts on the factor B; the flow

generated by β acts on the factor A.

◮ Explicitly, the flow generated by αi is:

t → (A0, exp(−i∇αi)B0) where ∇αi = Eii − E(i+1)(i+1) if A0 is diagonal and its entries are ordered counterclockwisely (and if the cyclic ambiguity has been resolved)

◮ By G-invariance of the flow, this can be extended to the

whole phase space

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Possibility for confusion

There is a quasi-Hamiltonian moment map µ(A, B) = ABA−1B −1 for a SU(N)-action. There are also Hamiltonians α, β : M → ∆N−1 with associated flows. After reduction, we will also consider β a moment map, namely for a TN−1-action.

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Reduction

The moment map constraint is ABA−1B −1 = µ0 where µ0 = diag(

N−1 times

  • e2iy , · · · , e2iy , e2i(1−N)y)
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Solving the moment map constraint

◮ Constraint

ABA−1 = µ0B so if B is conjugate to µ0B.

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Solving the moment map constraint

◮ Constraint

ABA−1 = µ0B so if B is conjugate to µ0B.

◮ So their characteristic polynomials are equal. ◮ Express both in terms of ξ (B) and the matrix g(B) that

diagonalizes B.

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Solving the moment map constraint

◮ Constraint

ABA−1 = µ0B so if B is conjugate to µ0B.

◮ So their characteristic polynomials are equal. ◮ Express both in terms of ξ (B) and the matrix g(B) that

diagonalizes B.

◮ (this is actually doable)

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Solving the moment map constraint (ctd)

◮ These characteristic polynomials are equal if and only if

  • gℓN(B)
  • 2 = zℓ(ξ , y)

where zℓ(ξ , y) = sin(y)N sin(Ny)

N−1

  • j=1
  • cot y − cot
  • ξσ ℓ(1) + · · · + ξσ ℓ(j)
  • where we define the cyclic permutation

σ = (12 · · · N)

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Solving the moment map constraint (ctd)

◮ These characteristic polynomials are equal if and only if

  • gℓN(B)
  • 2 = zℓ(ξ , y)

where zℓ(ξ , y) = sin(y)N sin(Ny)

N−1

  • j=1
  • cot y − cot
  • ξσ ℓ(1) + · · · + ξσ ℓ(j)
  • where we define the cyclic permutation

σ = (12 · · · N)

◮ This is possible if all

zℓ(ξ , y) ≥ 0 which is a condition on the value of ξ . Its solutions are ξ ∈ ∆N−1 | ξi ≥ y for all i

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All solutions corresponding to a given ξ

◮ Possible values for B are

B = g −1δ(ξ )g if

  • gℓN(B)
  • 2 = zℓ(ξ , y)

◮ We can use the stabilizer of δ(ξ ) to even set

gℓN(B) =

  • zℓ(ξ , y)

◮ It turns out that all such g are in the same Gµ0-orbit.

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All solutions corresponding to a given ξ (ctd)

◮ So up to Gµ0, only one possible value for B. ◮ Then by

ABA−1 = µ0B the possible values for A are parametrized by the stabilizer

  • f B, a torus.
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Recap

◮ We can solve the moment map constraint only if the

spectral functions of B satisfy the constraints: β(A, B) ∈ ξ ∈ ∆N−1 | ξℓ ≥ y for all ℓ

◮ The set β −1(ξ )/Gµ0 consists of the stabilizer of B, an

N − 1-dimensional torus

◮ The function

1 2

  • Tr A + Tr A†

is contained in the Abelian algebra generated by the αi, so it is an integrable Hamiltonian

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Explicit solutions

For given ξ satisfying the constraints, we define (g0)jN (ξ ) = − (g0)Nj (ξ ) = √zj (1) (g0)NN (ξ ) = √zN (2) (g0)ij (ξ ) = δij − √zizj 1 + √zN (3) and L0(ξ )ij = eiy − e−iy eiyδiδ −1

j

− e−iy

  • ki

eiyδi − e−iyδk δi − δk 1/2

kj

e−iyδj − eiyδk δj − δk 1/2 (4) and B = g −1

0 δ(ξ )g0

A = g −1

0 L0(ξ )Θ(p)g0

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Outline

Marsden-Weinstein reduction Quasi-Hamiltonian reduction Classification of compact integrable systems Larger coupling parameter

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Toric manifolds

Definition

A toric manifold is a compact symplectic manifold M of dimension 2n together with an effective, Hamiltonian action of the n-dimensional torus Tn generated by a moment map β : M → Lie (Tn)∨ (= Rn)

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Toric manifolds

Definition

A toric manifold is a compact symplectic manifold M of dimension 2n together with an effective, Hamiltonian action of the n-dimensional torus Tn generated by a moment map β : M → Lie (Tn)∨ (= Rn)

Theorem (Delzant)

Toric manifolds are classified by the image of β, and this image is always a polytope.

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Example of a toric manifold

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Example of a toric manifold (ctd)

◮ Consider M = CP1 ◮ Start with ˜

M = C2 with coordinates z0, z1, and symplectic form ˜ ω = 1 2i

  • i

dzi ∧ d¯ zi

◮ There is a T2-action. ◮ Diagonal T-action has moment map

˜ β(z0, z1) = |z0|2 + |z1|2

◮ Use Marsden-Weinstein reduction:

˜ β −1({a})/T is a symplectic manifold, and there is a residual action of T2/T. This is CP1.

◮ The value of a 0 determines the scale of the symplectic

form.

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The small phase space is a toric manifold

Recall:

◮ We can solve the moment map constraint only if the

spectral functions of B satisfy constraints: β(A, B) ∈ ξ ∈ ∆N−1 | ξi ≥ y for all i

◮ The set β −1(ξ )/Gµ0 consists of the stabilizer of B, an

N − 1-dimensional torus

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  • f compact

integrable systems Larger coupling parameter

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The small phase space is a toric manifold

Recall:

◮ We can solve the moment map constraint only if the

spectral functions of B satisfy constraints: β(A, B) ∈ ξ ∈ ∆N−1 | ξi ≥ y for all i

◮ The set β −1(ξ )/Gµ0 consists of the stabilizer of B, an

N − 1-dimensional torus

We conclude:

◮ Indeed, we have a 2 (N − 1)-dimensional, compact,

symplectic manifold with β a moment map. (Also, the action is effective.)

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integrable systems Larger coupling parameter

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Outline

Marsden-Weinstein reduction Quasi-Hamiltonian reduction Classification of compact integrable systems Larger coupling parameter

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integrable systems Larger coupling parameter

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Restriction on coupling parameter

◮ The restriction y < π

N is natural:

  • for the physics:

H =

N

  • i=1

cos pi

  • ji
  • 1 −

sin2 y sin2 (qi − qj) 1/2 would contain imaginary square roots for larger y

  • For the reduction: the set

ξ ∈ ∆N−1 | ξi ≥ y for all i tends to a single point as y → π

N ◮ But the reduction still works for all y, as long as

y k mπ for 2 ≤ m ≤ N and 0 ≤ k ≤ m, guaranteeing that µ0 is a regular value of µ.

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  • f compact

integrable systems Larger coupling parameter

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Restriction on coupling parameter (ctd)

Remaining question

What happens for other values?

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  • f compact

integrable systems Larger coupling parameter

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Restriction on coupling parameter (ctd)

Remaining question

What happens for other values?

Probable answer

◮ For π

N < y < π N−1, we obtain the set

β(A, B) ∈ ξ ∈ ∆N−1 | ξi ≤ y for all i

◮ For all other y (so

π N−1 < y < π − π N−1), the moment map

constraint has solutions (A, B) where β is not

  • differentiable. (Maybe consider Tr Ak + Tr A†k instead?)
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  • f compact

integrable systems Larger coupling parameter

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Main point

We have explained the integrability of the compact, trigonometric Ruijsenaars-Schneider system as a consequence of the symmetry of a much simpler dynamical system on SU(N) × SU(N).

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References

◮ Etingof, P.I., Lectures on Calogero-Moser systems, arXiv

preprint math/0606233 (2006)

◮ Calogero, F., Solution of the one-dimensional n-body

problems with quadratic and/or inversely quadratic pair potentials, Journal of Mathematical Physics, 12 (1971), 419–436.

◮ Ruijsenaars, S., Schneider, H., A new class of integrable

systems and its relation to solitons, Annals of Physics, 170 (1986), 370-405

◮ Marsden, J.E., Weinstein, A., Reduction of symplectic

manifolds with symmetry, Rep. Math. Phys., 5 (1974), 121–130.

◮ Fehér, L. and Klimcík, C., Self-duality of the compactified

Ruijsenaars-Schneider system from quasi-Hamiltonian reduction, arXiv preprint math-ph/1101.1759 (2011)

◮ Fehér, L. and Kluck, T., On the trigonometric

Ruijsenaars-Schneider model for large coupling parameter, in preparation