nonlinear response theory in long-range hamiltonian systems

48
2014/05/27@The Galileo Galilei Institute for Theoretical Physics Advances in Nonequilibrium Statistical Mechanics: large deviations and long-range correlations, extreme value statistics, anomalous transport and long-range interactions Nonlinear response theory in long-range Hamiltonian systems Yoshiyuki Y. YAMAGUCHI (Kyoto University, JAPAN) In collaboration with Shun Ogawa (Kyoto University)

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Page 1: Nonlinear response theory in long-range Hamiltonian systems

2014/05/27@The Galileo Galilei Institute for Theoretical Physics

Advances in Nonequilibrium Statistical Mechanics:

large deviations and long-range correlations, extreme value statistics,

anomalous transport and long-range interactions

Nonlinear response theoryin long-range Hamiltonian systems

Yoshiyuki Y. YAMAGUCHI

(Kyoto University, JAPAN)

In collaboration with

Shun Ogawa (Kyoto University)

Page 2: Nonlinear response theory in long-range Hamiltonian systems

Main topics

We propose a nonlinear response theory

for long-range Hamiltonian systems.

1) Reponse to external field

→ Strange critical exponents and scaling relation

2) Reponse to perturbation

→ Discussion on limitation of the theory

Page 3: Nonlinear response theory in long-range Hamiltonian systems

Response

Response

Observing the response, we get information of the black-box.

Page 4: Nonlinear response theory in long-range Hamiltonian systems

Response

Response

Response

Ferromag. body

External

mag. field

/perturbation

Magnetization

Page 5: Nonlinear response theory in long-range Hamiltonian systems

Hamiltonian mean-field model

A paradigmatic toy model of

a ferro magnetic body

Each spin interacts with

the other spins attractively

All interactions are only through

the magnetization (mean-field) ~M

H =N∑j=1

p2j2

− 1

2N

N∑j,k=1

cos(qj − qk)− hN∑j=1

cos qj

h: external mag. field

Page 6: Nonlinear response theory in long-range Hamiltonian systems

Critical phenomena in HMF (h = 0)

T

M

Tc

Critical phenomena of mean-field systems

are analysed by Landau theory

Page 7: Nonlinear response theory in long-range Hamiltonian systems

Landau theory

Free energy: F (M) =a

2(T − Tc)M

2 +b

4M4 + · · · − hM

Realized M :dF

dM= a(T − Tc)M + bM3 − h = 0

Page 8: Nonlinear response theory in long-range Hamiltonian systems

Landau theory

Realized M :dF

dM= a(T − Tc)M + bM3 − h = 0

Critical exponents

Page 9: Nonlinear response theory in long-range Hamiltonian systems

Landau theory

Realized M :dF

dM= a(T − Tc)M + bM3−h = 0

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

Page 10: Nonlinear response theory in long-range Hamiltonian systems

Landau theory

Realized M :dF

dM= a(T − Tc)M+bM3 − h = 0

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

h 6= 0:dM

dh

∣∣∣∣h→0

∝ (T − Tc)−γ+ γ+ = 1 T > Tc

Page 11: Nonlinear response theory in long-range Hamiltonian systems

Landau theory

Realized M :dF

dM= a(T − Tc)M + bM3 − h = 0

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

h 6= 0:dM

dh

∣∣∣∣h→0

∝ (T − Tc)−γ+ γ+ = 1 T > Tc

∝ (Tc − T )−γ− γ− = 1 T < Tc

Page 12: Nonlinear response theory in long-range Hamiltonian systems

Landau theory

Realized M :dF

dM= a(T − Tc)M + bM3 − h = 0

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

h 6= 0:dM

dh

∣∣∣∣h→0

∝ (T − Tc)−γ+ γ+ = 1 T > Tc

∝ (Tc − T )−γ− γ− = 1 T < Tc

T = Tc: M ∝ h1/δ δ = 3

Page 13: Nonlinear response theory in long-range Hamiltonian systems

Landau theory

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

h 6= 0:dM

dh

∣∣∣∣h→0

∝ (T − Tc)−γ+ γ+ = 1 T > Tc

∝ (Tc − T )−γ− γ− = 1 T < Tc

T = Tc: M ∝ h1/δ δ = 3

Scaling relation

γ± = β(δ − 1)

Page 14: Nonlinear response theory in long-range Hamiltonian systems

Question

Landau theory gives critical exponents in the context of

statistical mechanics.

Q. Does dynamics give the same critical exponents ?

qj =∂H

∂pj, pj = −∂H

∂qj

For simplicity, we start from themal equilibrium states:

→ β = 1/2.

Page 15: Nonlinear response theory in long-range Hamiltonian systems

Vlasov approach

N -body:

H =N∑j=1

[p2j2

− 1

2N

N∑k=1

cos(qj − qk)− h cos qj

]

1-body:

H[f ] =p2

2−∫

cos(q − q′)f(q′, p′, t)dq′dp′ − h cos q

Vlasov equation:

∂f

∂t=

∂H[f ]

∂q

∂f

∂p− ∂H[f ]

∂q

∂f

∂q= {H[f ], f}

Page 16: Nonlinear response theory in long-range Hamiltonian systems

Linear response theory

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

h 6= 0:dM

dh

∣∣∣∣h→0

∝ (T − Tc)−γ+ γ+ = 1

∝ (Tc − T )−γ− γ− = 1

T = Tc: M ∝ h1/δ δ = 3

- Patelli et al., PRE 85, 021133 (2012)- Ogawa-YYY, PRE 85, 061115 (2012)

- Ogawa-Patelli-YYY, PRE 89, 032131 (2014)

?

γ+ = 1

γ− =1

4

Page 17: Nonlinear response theory in long-range Hamiltonian systems

Nonlinear response theory

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

h 6= 0:dM

dh

∣∣∣∣h→0

∝ (T − Tc)−γ+ γ+ = 1

∝ (Tc − T )−γ− γ− = 1

T = Tc: M ∝ h1/δ δ = 3

γ+ = 1

γ− =1

4

δ =?

We need a nonlinear response theory for δ.

Check the scaling relation γ = β(δ − 1).

Page 18: Nonlinear response theory in long-range Hamiltonian systems

Idea

fini : Initial stationary state

f0 : Initial state with perturbation εg0

fA : Asymptotic state

Page 19: Nonlinear response theory in long-range Hamiltonian systems

Idea

Normal decomposition: f = fini + εg

H[fini] drives the system

(cf. Landau damping)

Page 20: Nonlinear response theory in long-range Hamiltonian systems

Idea

Our decomposition: f = fA + εgT

H[fA] drives the system

Page 21: Nonlinear response theory in long-range Hamiltonian systems

Asymptotic state

Contours of f0

Contours of fA

fA = (average of f0 over iso-H[fA] curve)

Page 22: Nonlinear response theory in long-range Hamiltonian systems

Asymptotic state

Contours of f0

Contours of fA

fA = (average of f0 over iso-H[fA] curve)

⇓ (θ, J): Angle-action associated with H[fA]

fA = 〈f0〉J : Average over θ (iso−J curve)

Page 23: Nonlinear response theory in long-range Hamiltonian systems

Idea of re-arrangement itself is not new

fA = 〈f0〉J : Re-arrangement of f0 along iso-J curve

1-level waterbag initial distribution

- Leoncini-Van Den Berg-Fanelli, EPL 86, 20002 (2009)

- de Buyl-Mukamel-Ruffo, PRE 84, 061151 (2011)

multi-level waterbag initial distribution

- Ribeiro-Teixeira et al., PRE 89, 022130 (2014)

Page 24: Nonlinear response theory in long-range Hamiltonian systems

What’s new

Landau like equation for asymptotic M

=⇒ Critical exponents

Justification of theory (omitting εgT) by the hypotheses

H0. The asymptotic state fA is stationary.

H1. f(t) is in a O(ε) neighbourhood of fini.

H2. We may omit O(ε2).

=⇒ Discussion on limitation of the theory

Page 25: Nonlinear response theory in long-range Hamiltonian systems

Self-consistent equation for M

fA = 〈f0〉J =⇒ M =

∫cos θ 〈f0〉J dqdp

6

J depends on M through H[fA]

H[fA] =p2

2− (M + h) cos q

We expand the self-consistent equation for small M .

Page 26: Nonlinear response theory in long-range Hamiltonian systems

Expansion of self-consistent equation

We focus on homogeneous fini(p).

M =

∫cos q 〈f0〉J dqdp

-

Expansionpower series of

√M + h

q

p

Separatrix width is of O(√M + h)

Page 27: Nonlinear response theory in long-range Hamiltonian systems

Initial condition

f0(q, p) = Ae−p2/2T (1 + ε cos q)

���

Homogeneous Maxwellian

6

Perturbation

After long computations...

Page 28: Nonlinear response theory in long-range Hamiltonian systems

Landau like equation

−εa(M + h)1/2 + b(T − Tc)(M + h) + c(M + h)3/2 − h = 0

a, b, c > 0

cf. Landau theory:

a(T − Tc)M + bM3 − h = 0

Page 29: Nonlinear response theory in long-range Hamiltonian systems

Landau like equation

−εa(M + h)1/2 + b(T − Tc)(M + h)+c(M + h)3/2 − h = 0

ε = 0 :

T > Tc: M ∝ (T − Tc)−1h Linear response

Page 30: Nonlinear response theory in long-range Hamiltonian systems

Landau like equation

−εa(M + h)1/2+b(T − Tc)(M + h) + c(M + h)3/2 − h = 0

ε = 0 :

T > Tc: M ∝ (T − Tc)−1h Linear response

T = Tc: M ∝ h2/3 Nonlinear response

δ = 3/2

Page 31: Nonlinear response theory in long-range Hamiltonian systems

Response to external field (numerical test)

10−6

10−5

10−4

10−3

10−2

10−1

100

10−6 10−5 10−4 10−3 10−2 10−1

M

h

Slope= 2/3

Slope= 1

T = 0.50T = 0.51T = 0.55T = 0.60T = 0.70

Tc = 0.5

Ogawa-YYY, PRE 89, 052114 (2014) [slightly modified]

Page 32: Nonlinear response theory in long-range Hamiltonian systems

Scaling relation in Vlasov dynamics

Critical exponents

h = 0: M ∝ (Tc − T )β β =1

2

h 6= 0:dM

dh

∣∣∣∣h→0

∝ (T − Tc)−γ+ γ+ = 1

∝ (Tc − T )−γ− γ− = 1

T = Tc: M ∝ h1/δ δ = 3

β =1

2

γ+ = 1

γ− =1

4

δ =3

2

Scaling relation holds even in the Vlasov dynamics !

γ− = β(δ − 1)

Page 33: Nonlinear response theory in long-range Hamiltonian systems

Origin of the strange exponents

The Vlasov equation has infinite invariants called Casimirs:

C[f ] =

∫c(f(q, p))dqdp ∀c smooth

Page 34: Nonlinear response theory in long-range Hamiltonian systems

Response to perturbation

−εa(M + h)1/2 + b∆T (M + h) + c(M + h)3/2−h = 0

∆T = T − Tc

h = 0 :

T > Tc: M =

(−b∆T +

√(b∆T )2 + 4εac

2c

)2

Page 35: Nonlinear response theory in long-range Hamiltonian systems

Response to perturbation

−εa(M + h)1/2+b∆T (M + h) + c(M + h)3/2−h = 0

∆T = T − Tc

h = 0 :

T > Tc: M =

(−b∆T +

√(b∆T )2 + 4εac

2c

)2

T = Tc: M =a

Page 36: Nonlinear response theory in long-range Hamiltonian systems

Response to perturbation (numerical test)

0

0.02

0.04

0.06

0.08

0.1

0 0.05 0.1 0.15 0.2

M

ǫ

T = 0.50

T = 0.51

T = 0.55

T = 0.60

T = 0.70

Tc = 0.5

Ogawa-YYY, PRE 89, 052114 (2014)

Page 37: Nonlinear response theory in long-range Hamiltonian systems

Discrepancy ?

We omitted O(ε2) term.

⇓The transient part εgT can be omitted.

Omitting transient part εgT implies

omitting the Landau damping.

T = Tc : Damping rate is zero, and the theory works well.

T ↗ : Damping rate grows, and the theory gets worse.

0

0.02

0.04

0.06

0.08

0.1

0 0.05 0.1 0.15 0.2

M

ǫ

T = 0.50

T = 0.51

T = 0.55

T = 0.60

T = 0.70

Page 38: Nonlinear response theory in long-range Hamiltonian systems

Numerical evidences

‖f − f0‖L1

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0 100 200 300 400 500 600 700 800 900 1000

||f−

f0||L1

t

T = 0.5

T = 0.6

T = 0.7

(a)

‖f − fini‖L1

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0 100 200 300 400 500 600 700 800 900 1000

||f−fini|| L

1

t

T = 0.5

T = 0.6

T = 0.7

(b)

Ogawa-YYY, PRE 89, 052114 (2014)

0.50.60.7

Page 39: Nonlinear response theory in long-range Hamiltonian systems

Summary [Ogawa-YYY, PRE 89, 052114 (2014)]

We proposed a nonlinear response theory for long-range

Hamiltonian systems.

It works not only for thermal eq. but also for QSSs.

Response to external field: γ− = β(δ − 1)

Landau theory Response theory

M ∝ (Tc − T )β β = 1/2 β = 1/2

dM/dh ∝ (T − Tc)−γ+ γ+ = 1 γ+ = 1

dM/dh ∝ (Tc − T )−γ− γ− = 1 γ− = 1/4

M ∝ h1/δ δ = 3 δ = 3/2

Response to perturbation:

The theory works well at the critical point (no damping).

Page 40: Nonlinear response theory in long-range Hamiltonian systems

Thank you for your attention.

Page 41: Nonlinear response theory in long-range Hamiltonian systems

Appendix A

T-linearization and omitting the transient part εgT

Page 42: Nonlinear response theory in long-range Hamiltonian systems

T-linearization

Vlasov equation:∂f

∂t= {H[f ], f}

Asymptotic-Transitent decomposition of f :

f(q, p) = fA(q, p) + εgT(q, p, t)

A-T decomposition of H[f ] :

H[f ](q, p) = H[fA](q, p) + εV[gT](q, p, t)

Substituting into the Vlasov equation:

∂f

∂t= {H[fA], f}+ ε{V[gT], f}

= {H[fA], f}+ ε{V[gT], fA}+ε2{V[gT], gT}

Page 43: Nonlinear response theory in long-range Hamiltonian systems

Formal solution

∂f

∂t= {H[fA], f}+ ε{V[gT], fA}

= LAf + ε{V[gT], fA}

Formal solution:

f(t) = etLAf0 + ε

∫ t

0

e(t−s)LA

(∂V[gT]∂q

∂fA∂p

)ds

Definition of asymptotic state fA:

fA = limτ→∞

1

τ

∫ τ

0

f(t)dt = 〈f〉t(= lim

t→∞f(t)

)

Page 44: Nonlinear response theory in long-range Hamiltonian systems

Definition of asymptotic state

Formal solution:

f(t) = etLAf0 + ε

∫ t

0

e(t−s)LA

(∂V[gT]∂q

∂fA∂p

)ds

Ergodic like formula:⟨etLAf0

⟩t= 〈f0〉J

Thus, we have

fA = 〈f0〉J + ε

⟨∫ t

0

e(t−s)LA

(∂V[gT]∂q

∂fA∂p

)ds

⟩t

Page 45: Nonlinear response theory in long-range Hamiltonian systems

Lemma

V[⟨∫ t

0

e(t−s)LA

(∂V[gT]∂q

∂fA∂p

)ds

⟩t

]= 0

(Proof) ∂V[gT]

∂q=

∑k

Tk(t)eikq

〈·〉t =∑k

limτ→∞

1

τ

∫ τ

0

dt

∫ t

0

e(t−s)LA

(Tk(s)e

ikq ∂fA

∂p

)ds

=∑k

∫ ∞

0

dsTk(s) limτ→∞

1

τ

∫ τ−s

−s

euLA

(eikq ∂fA

∂p

)du

=∑k

⟨eikq ∂fA

∂p

⟩J

∫ ∞

0

Tk(s)ds

The p-odd function⟨eikq∂pfA

⟩J

does not contribute to potential V. �

Page 46: Nonlinear response theory in long-range Hamiltonian systems

Appendix B

Expansion of the sel-consistent equation

M =

∫cos q 〈f0〉J dqdp =

∫〈cos q〉J f0dqdp

Page 47: Nonlinear response theory in long-range Hamiltonian systems

Division of phase space

We divide the phase space into U1 and U2:

Ogawa-YYY, PRE 89, 052114 (2014)

U2 = {|p| > Mu}

U1 = {|p| < Mu}

0 < u < 1/2

Page 48: Nonlinear response theory in long-range Hamiltonian systems

Expansin in each region

In U1:

|p| is small, and we expand

f0(q, p) into the Taylor series wrt p

In U2:

Action J is written by k =√(H+M + h)/2(M + h).

k is large, and we expand

〈cos q〉J into the power series of 1/k

The scaling p ' k√M + h provides

the power series of√M + h