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Integrable vs ergodic approaches to QSSs Integrable versus ergodic approaches to describe quasi-stationary states Fernanda P. C. Benetti 1 1 Universidade Federal do Rio Grande do Sul (UFRGS) - Brazil ICTP - 25/07/2016 A.C. Ribeiro-Teixeira,


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Integrable vs ergodic approaches to QSSs

Integrable versus ergodic approaches to describe quasi-stationary states

Fernanda P. C. Benetti 1

1Universidade Federal do Rio Grande do Sul (UFRGS) - Brazil

ICTP - 25/07/2016

A.C. Ribeiro-Teixeira, F.P.C.B., R. Pakter & Y. Levin, Phys. Rev. E 89 (2014)

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Integrable vs ergodic approaches to QSSs

The HMF model Konishi & Kaneko (1992), Antoni & Ruffo (1995)

◮ N spins ◮ Hamiltonian

H =

N

  • i=1

p2

i

2 + 1 2N

N

  • i=1

N

  • j=1

[1 − cos(θi − θj)]

◮ Equation of motion

˙ θi = pi ˙ pi = −M sin θi M = 1 N

N

  • i=1

cos θi

◮ Thermodynamic limit N → ∞: Vlasov (collisionless) dynamics

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Integrable vs ergodic approaches to QSSs

Quasi-stationary states

Two phases:

◮ paramagnetic

(M = 0)

◮ ferromagnetic

(M > 0)

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Integrable vs ergodic approaches to QSSs

Virial and non-virial initial conditions

Virial theorem: − N

  • i=1

F(qi) · qi

  • = 2 K

K = kinetic energy

◮ Ex: 3D gravity → 2K = −U.

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Integrable vs ergodic approaches to QSSs

Virial and non-virial initial conditions

Virial theorem: − N

  • i=1

F(qi) · qi

  • = 2 K

K = kinetic energy

◮ Ex: 3D gravity → 2K = −U.

Initial conditions do not satisfy virial theorem

◮ Strong mean-field oscillations ◮ Resonances, core-halo distribution (Friday’s talk by Y.

Levin)

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Integrable vs ergodic approaches to QSSs

Virial and non-virial initial conditions

Virial theorem: − N

  • i=1

F(qi) · qi

  • = 2 K

K = kinetic energy

◮ Ex: 3D gravity → 2K = −U.

Initial conditions do not satisfy virial theorem

◮ Strong mean-field oscillations ◮ Resonances, core-halo distribution (Friday’s talk by Y.

Levin) Initial conditions satisfy virial theorem

◮ Minimal mean-field oscillations ◮ Quasi-stationary potential

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Integrable vs ergodic approaches to QSSs

Lynden-Bell statistics

Initial distribution: f0(r, v) = ηΘ(rm − |r|)Θ(vm − |v|) Number of microstates W :

◮ Phase space → macrocells and microcells ◮ Incompressible dynamics: number of occupied microcells is preserved ◮ Boltzmann counting

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Integrable vs ergodic approaches to QSSs

Lynden-Bell (LB) Statistics

Coarse-grained entropy: sLB = kB ln W Coarse-grained distribution: fLB(r, v) = η 1 + exp [β(ǫ(r, v) − µ)]

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Integrable vs ergodic approaches to QSSs

Lynden-Bell (LB) Statistics

Assumption:

◮ Equal probability of phase elements occupying any microcell →

ergodicity and mixing

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Integrable vs ergodic approaches to QSSs

Virial and non-virial initial conditions

Virial theorem: − N

  • i=1

F(qi) · qi

  • = 2 K ,

K = kinetic energy

◮ Ex: 3D gravity → 2K = −U.

Initial conditions do not satisfy virial theorem

◮ Strong mean-field oscillations ◮ Resonances, core-halo distribution (Friday’s talk by Y.

Levin) Initial conditions satisfy virial theorem

◮ Minimal mean-field oscillations ◮ Quasi-stationary potential ◮ Lynden-Bell statistics

?

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Integrable vs ergodic approaches to QSSs

Uncoupled pendula approach

QSS:

◮ Quasi-static field

M = cos θ

◮ Equation of motion

¨ θ = −M sin θ The model – de Buyl et al, PRE 84 (2011):

◮ External field H ◮ Uncoupled particles, equation of

motion ¨ θ = −H sin θ

◮ f (ε) = n(ε)/g(ε) is conserved ◮ Integrable dynamics → “integrable

model” (IM)

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Integrable vs ergodic approaches to QSSs A.C. Ribeiro-Teixeira et al, PRE 89 (2014)

f (ε; H) =

  • f0(θ, p)δ[ε − ǫ(θ, p, H)]dθdp
  • δ[ε − ǫ(θ, p, H)]dθdp

P(θ; H) =

  • f [ε(θ, p); H]dp

Association with HMF: H =

  • cos θP(θ; H)dθ
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Integrable vs ergodic approaches to QSSs

Application to the HMF

◮ Initial conditions:

f0(θ, p) = Θ(θm − |θ|) ×

L

  • i=1

ηiΘ(|p| − pi−1)Θ(pi − |p|)

◮ Analytical equation for f (ε)

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Integrable vs ergodic approaches to QSSs

Comparison with molecular dynamics (MD) and Lynden-Bell (LB)

Angle and momentum distributions L = 1

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Integrable vs ergodic approaches to QSSs

Comparison MD, IM, LB

Angle and momentum distributions L = 3

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Integrable vs ergodic approaches to QSSs

Comparison MD, IM, LB

Energy distribution

◮ L = 1 ◮ L = 2

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Integrable vs ergodic approaches to QSSs

Comparison MD, IM, LB

RMS deviation of energy distributions (triangles: IM-MD deviation, circles: LB-MD deviation)

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Integrable vs ergodic approaches to QSSs

Summary

◮ IM: Uncoupled particles subject to external field H = M ◮ LB: Ergodic, mixing approach; new statistical method ◮ H = M, M → virial magnetization ◮ IM (integrable) better results than LB (ergodic) for MD with initial

multilevel waterbag distributions

◮ Agreement decreases when number of levels increases ◮ IM can be used for other long-range systems, i.e. 3d self-gravitating

systems (FPCB, A.C Ribeiro-Teixeira, R. Pakter & Y. Levin, PRL 113

2014)

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Integrable vs ergodic approaches to QSSs

Comparison with molecular dynamics (MD)

Phase space