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Constant Flux Relation in Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics University of Warwick Coventry, UK Joint work with: Colm Connaughton (CNLS, LANL, Los Alamos, New Mexico, USA) R. Rajesh (Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai, India.) Warwick, December 2005 – p. 1/2

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Page 1: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Constant Flux Relation inNon-equilibrium Statistical Mechanics

Oleg ZaboronskiDepartment of Mathematics

University of WarwickCoventry, UK

Joint work with:

Colm Connaughton (CNLS, LANL, Los Alamos, New Mexico,USA)

R. Rajesh (Institute of Mathematical Sciences, CIT Campus,Taramani, Chennai, India.)

Warwick, December 2005 – p. 1/20

Page 2: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Some Terminology from Turbulence Theory

Reynolds number R = LUν

.

Energy injected into largeeddies.

Energy removed from smalleddies at viscous scale.

Transfer by interactionbetween eddies.

Concept of inertial range

K41 : In the limit of ∞ R, all small scale statistical propertiesdepend only on the local scale, k, and the energy dissipation rate, P .Dimensional analysis :

E(k) = cP2

3 k−5

3 Kolmogorov spectrum

Warwick, December 2005 – p. 2/20

Page 3: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Structure Functions and the 45

Law

Structure functions : Sn(r) = 〈(u(x + r) − u(x))n〉.

Scaling form in stationary state:

limr→0

limν→0

limt→∞

Sn(r) = Cn (Pr)ζn .

K41 theory gives ζn = n3.

45

Law : S3(r) = 45Pr. Thus ζ3 = 1 (exact).

Warwick, December 2005 – p. 3/20

Page 4: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

General Characteristics of "Turbulence-like" Systems

Existence of a quantity, I , such as energy which is conservedby the nonlinear interactions in the system.

Sources and sinks of I are well separated in phase space.Existence of an inertial range.

Conservative dynamics transfer I from the source to the sinkresulting in a flux of I through the inertial range.

A stationary state is reached for large times where addition of Iat the source is balanced by dissipation at the sink. Constantflux of I through the inertial range.

Non-equilibrium stationary state. Lack of detailed balance.

Warwick, December 2005 – p. 4/20

Page 5: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

General Characteristics of "Turbulence-like" Systems

Existence of a quantity, I , such as energy which is conservedby the nonlinear interactions in the system.

Sources and sinks of I are well separated in phase space.Existence of an inertial range.

Conservative dynamics transfer I from the source to the sinkresulting in a flux of I through the inertial range.

A stationary state is reached for large times where addition of Iat the source is balanced by dissipation at the sink. Constantflux of I through the inertial range.

Non-equilibrium stationary state. Lack of detailed balance.

Warwick, December 2005 – p. 4/20

Page 6: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

General Characteristics of "Turbulence-like" Systems

Existence of a quantity, I , such as energy which is conservedby the nonlinear interactions in the system.

Sources and sinks of I are well separated in phase space.Existence of an inertial range.

Conservative dynamics transfer I from the source to the sinkresulting in a flux of I through the inertial range.

A stationary state is reached for large times where addition of Iat the source is balanced by dissipation at the sink. Constantflux of I through the inertial range.

Non-equilibrium stationary state. Lack of detailed balance.

Warwick, December 2005 – p. 4/20

Page 7: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

General Characteristics of "Turbulence-like" Systems

Existence of a quantity, I , such as energy which is conservedby the nonlinear interactions in the system.

Sources and sinks of I are well separated in phase space.Existence of an inertial range.

Conservative dynamics transfer I from the source to the sinkresulting in a flux of I through the inertial range.

A stationary state is reached for large times where addition of Iat the source is balanced by dissipation at the sink. Constantflux of I through the inertial range.

Non-equilibrium stationary state. Lack of detailed balance.

Warwick, December 2005 – p. 4/20

Page 8: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

General Characteristics of "Turbulence-like" Systems

Existence of a quantity, I , such as energy which is conservedby the nonlinear interactions in the system.

Sources and sinks of I are well separated in phase space.Existence of an inertial range.

Conservative dynamics transfer I from the source to the sinkresulting in a flux of I through the inertial range.

A stationary state is reached for large times where addition of Iat the source is balanced by dissipation at the sink. Constantflux of I through the inertial range.

Non-equilibrium stationary state. Lack of detailed balance.

Warwick, December 2005 – p. 4/20

Page 9: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

General Characteristics of "Turbulence-like" Systems

Existence of a quantity, I , such as energy which is conservedby the nonlinear interactions in the system.

Sources and sinks of I are well separated in phase space.Existence of an inertial range.

Conservative dynamics transfer I from the source to the sinkresulting in a flux of I through the inertial range.

A stationary state is reached for large times where addition of Iat the source is balanced by dissipation at the sink. Constantflux of I through the inertial range.

Non-equilibrium stationary state. Lack of detailed balance.

Questions : Is Kolmogorov phenomenology useful for studyingsuch systems? Is there a counterpart of the 4/5 law?

Warwick, December 2005 – p. 4/20

Page 10: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Takayasu model.

Consider a lattice in d dimensions with massive point particles.Nt(x,m)=number of particles of mass m on site x at time t.

Diffusion : rate D

Spatially homogeneous injection : rate J/m0

Aggregation Am1+ Am2

→ Am1+m2: rate λ

Warwick, December 2005 – p. 5/20

Page 11: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Takayasu model.

Consider a lattice in d dimensions with massive point particles.Nt(x,m)=number of particles of mass m on site x at time t.

Diffusion : rate D

Spatially homogeneous injection : rate J/m0

Aggregation Am1+ Am2

→ Am1+m2: rate λ

Warwick, December 2005 – p. 5/20

Page 12: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Takayasu model.

Consider a lattice in d dimensions with massive point particles.Nt(x,m)=number of particles of mass m on site x at time t.

Diffusion : rate D

Spatially homogeneous injection : rate J/m0

Aggregation Am1+ Am2

→ Am1+m2: rate λ

Warwick, December 2005 – p. 5/20

Page 13: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Takayasu model.

Consider a lattice in d dimensions with massive point particles.Nt(x,m)=number of particles of mass m on site x at time t.

Diffusion : rate D

Spatially homogeneous injection : rate J/m0

Aggregation Am1+ Am2

→ Am1+m2: rate λ

Interested in the probability P1(m, t) of finding a particle at a site:

∂P1(m)

∂t= D∆P1(m) +

λ

2

0

dm1dm2 P2(m1,m2,+0)δ(m−m1−m2)

−λ

2

0

dm1dm2 P2(m,m1,+0)δ(m2−m−m1)

−λ

2

0

dm1dm2 P (m,m2,+0) δ(m1−m2−m) +J

mδ(m − m0).

Warwick, December 2005 – p. 5/20

Page 14: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

The Takayasu Model as a Toy Model of Turbulence

Mass is conserved by aggregation events

Aggregation events generate larger masses from smaller onesleading to a flux of mass through mass space.

Source of masses at m = m0, no sink (usually). Inertial range,m0 << m << ∞.

Non-equilibrium stationary state carries a constant flux, J , ofmass through mass space (takes infinite amount of time to beset up).

Analogue of Kolmogorov spectrum ?

P1(m) = ckm−x

Scaling of multi-point correlation functions in mass space?

Pn(m1, . . . ,mn,+0) = Pr.(n particles are in dV dm1 . . . dmn).

Warwick, December 2005 – p. 6/20

Page 15: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

The Takayasu Model as a Toy Model of Turbulence

Mass is conserved by aggregation events

Aggregation events generate larger masses from smaller onesleading to a flux of mass through mass space.

Source of masses at m = m0, no sink (usually). Inertial range,m0 << m << ∞.

Non-equilibrium stationary state carries a constant flux, J , ofmass through mass space (takes infinite amount of time to beset up).

Analogue of Kolmogorov spectrum ?

P1(m) = ckm−x

Scaling of multi-point correlation functions in mass space?

Pn(m1, . . . ,mn,+0) = Pr.(n particles are in dV dm1 . . . dmn).

Warwick, December 2005 – p. 6/20

Page 16: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

The Takayasu Model as a Toy Model of Turbulence

Mass is conserved by aggregation events

Aggregation events generate larger masses from smaller onesleading to a flux of mass through mass space.

Source of masses at m = m0, no sink (usually). Inertial range,m0 << m << ∞.

Non-equilibrium stationary state carries a constant flux, J , ofmass through mass space (takes infinite amount of time to beset up).

Analogue of Kolmogorov spectrum ?

P1(m) = ckm−x

Scaling of multi-point correlation functions in mass space?

Pn(m1, . . . ,mn,+0) = Pr.(n particles are in dV dm1 . . . dmn).

Warwick, December 2005 – p. 6/20

Page 17: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

The Takayasu Model as a Toy Model of Turbulence

Mass is conserved by aggregation events

Aggregation events generate larger masses from smaller onesleading to a flux of mass through mass space.

Source of masses at m = m0, no sink (usually). Inertial range,m0 << m << ∞.

Non-equilibrium stationary state carries a constant flux, J , ofmass through mass space (takes infinite amount of time to beset up).

Analogue of Kolmogorov spectrum ?

P1(m) = ckm−x

Scaling of multi-point correlation functions in mass space?

Pn(m1, . . . ,mn,+0) = Pr.(n particles are in dV dm1 . . . dmn).

Warwick, December 2005 – p. 6/20

Page 18: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

The Takayasu Model as a Toy Model of Turbulence

Mass is conserved by aggregation events

Aggregation events generate larger masses from smaller onesleading to a flux of mass through mass space.

Source of masses at m = m0, no sink (usually). Inertial range,m0 << m << ∞.

Non-equilibrium stationary state carries a constant flux, J , ofmass through mass space (takes infinite amount of time to beset up).

Analogue of Kolmogorov spectrum ?

P1(m) = ckm−x

Scaling of multi-point correlation functions in mass space?

Pn(m1, . . . ,mn,+0) = Pr.(n particles are in dV dm1 . . . dmn).

Warwick, December 2005 – p. 6/20

Page 19: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

The Takayasu Model as a Toy Model of Turbulence

Mass is conserved by aggregation events

Aggregation events generate larger masses from smaller onesleading to a flux of mass through mass space.

Source of masses at m = m0, no sink (usually). Inertial range,m0 << m << ∞.

Non-equilibrium stationary state carries a constant flux, J , ofmass through mass space (takes infinite amount of time to beset up).

Analogue of Kolmogorov spectrum ?

P1(m) = ckm−x

Scaling of multi-point correlation functions in mass space?

Pn(m1, . . . ,mn,+0) = Pr.(n particles are in dV dm1 . . . dmn).Warwick, December 2005 – p. 6/20

Page 20: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Answers in d < 2

The critical dimension for the Takayasu model is 2. Mean fieldscaling is correct for d > 2 but incorrect for d < 2. In d = 2 scalinglaws acquire logarithmic corrections.

Warwick, December 2005 – p. 7/20

Page 21: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Answers in d < 2

The critical dimension for the Takayasu model is 2. Mean fieldscaling is correct for d > 2 but incorrect for d < 2. In d = 2 scalinglaws acquire logarithmic corrections.Corrections to scaling exponents in d < 2 can be calculated usingan ε-expansion where ε = 2 − d.

Warwick, December 2005 – p. 7/20

Page 22: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Answers in d < 2

The critical dimension for the Takayasu model is 2. Mean fieldscaling is correct for d > 2 but incorrect for d < 2. In d = 2 scalinglaws acquire logarithmic corrections.Corrections to scaling exponents in d < 2 can be calculated usingan ε-expansion where ε = 2 − d.It is found that (Phys. Rev. Lett. 94, 194503 (2005) )

P1(m) ∼ m−2d+2

d+2

and

Pn(m1, . . . ,mn) ∼ m−γnΦ

(

mi

mj

)

where

γn =3

2n +

n(n − 2)

2(d + 2)ε + O(ε2).

Warwick, December 2005 – p. 7/20

Page 23: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Discussion of results.

γn = 32n + n(n−2)

2(d+2)ε + O(ε2).

γ1 can be obtained from a dimensional arguments if oneassumes that P1 depends on mass m and mass flux J only.

Order ε correction to M.F. vanishes for 2-point function.Numerics suggested γ2 = 3 exactly. Why?

Warwick, December 2005 – p. 8/20

Page 24: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Discussion of results.

0

2

4

6

8

10

12

0 1 2 3 4 5

gam

ma_

n

n

MFd=0.5

d=1d=1.5

γn = 32n + n(n−2)

2(d+2)ε + O(ε2).

γ1 can be obtained from a dimensional arguments if oneassumes that P1 depends on mass m and mass flux J only.

Order ε correction to M.F. vanishes for 2-point function.Numerics suggested γ2 = 3 exactly. Why?

Warwick, December 2005 – p. 8/20

Page 25: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Discussion of results.

0

2

4

6

8

10

12

0 1 2 3 4 5

gam

ma_

n

n

MFd=0.5

d=1d=1.5

γn = 32n + n(n−2)

2(d+2)ε + O(ε2).

γ1 can be obtained from a dimensional arguments if oneassumes that P1 depends on mass m and mass flux J only.

Order ε correction to M.F. vanishes for 2-point function.Numerics suggested γ2 = 3 exactly. Why?

Warwick, December 2005 – p. 8/20

Page 26: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Can we find γ2 without recourse to ε-expansion?

Stationary Hopf equation for m > m0 :

0 =λ

2

0

dm1dm2 P2(m1,m2) δ(m−m1−m2)

−λ

2

0

dm1dm2 P2(m,m1) δ(m2−m−m1)

−λ

2

0

dm1dm2 P2(m,m2) δ(m1−m2−m).

Assume scaling form for 2-point function :

P2(m1,m2) =1

(m1m2)hφ

(

m1

m2

)

φ is a scaling function: φ(x) = φ(1/x).

Warwick, December 2005 – p. 9/20

Page 27: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Zakharov Transformations

m2

m1

m 2

m 1

δ(

−)

m−

m1 m

2

δ(m−−

)m 1

m 2

δ(

−)

m−

m

mChange variables in the 2nd and 3rdintegrals in Hopf equation

(m1,m2) →m

m′

2

(m′

1,m)

(m1,m2) →m

m′

1

(m,m′

2).

Warwick, December 2005 – p. 10/20

Page 28: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Zakharov Transformations

m2

m1

m 2

m 1

δ(

−)

m−

m1 m

2

δ(m−−

)m 1

m 2

δ(

−)

m−

m

mChange variables in the 2nd and 3rdintegrals in Hopf equation

(m1,m2) →m

m′

2

(m′

1,m)

(m1,m2) →m

m′

1

(m,m′

2).

0 =λ

2

0

dm1dm2 (m1m2)−hφ

(

m1

m2

)

m2−2h

(

m2h−2 − m2h−21 − m2h−2

2

)

δ(m − m1 − m2)

Warwick, December 2005 – p. 10/20

Page 29: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Constant Flux Relation for the Takayasu Model

After Z.T. we see that the RHS of Hopf equation is exactly zerofor h = 3/2.

We conclude that γ2 = 3 exactly (modulo some convergenceissues).N. B. γ2 = γMF

2 , but γ1 = 4/3 6= γMF1 = 3/2.

CFR scaling exponent corresponds to a constant flux of massthrough the inertial range.

More generally, we might have a mass dependent kernel :

λ → λ(m1,m2)

which is homogeneous of degree ζ . Then CFR becomes

γ2 = 3 + ζ.

Warwick, December 2005 – p. 11/20

Page 30: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Constant Flux Relation for the Takayasu Model

After Z.T. we see that the RHS of Hopf equation is exactly zerofor h = 3/2.

We conclude that γ2 = 3 exactly (modulo some convergenceissues).N. B. γ2 = γMF

2 , but γ1 = 4/3 6= γMF1 = 3/2.

CFR scaling exponent corresponds to a constant flux of massthrough the inertial range.

More generally, we might have a mass dependent kernel :

λ → λ(m1,m2)

which is homogeneous of degree ζ . Then CFR becomes

γ2 = 3 + ζ.

Warwick, December 2005 – p. 11/20

Page 31: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Constant Flux Relation for the Takayasu Model

After Z.T. we see that the RHS of Hopf equation is exactly zerofor h = 3/2.

We conclude that γ2 = 3 exactly (modulo some convergenceissues).N. B. γ2 = γMF

2 , but γ1 = 4/3 6= γMF1 = 3/2.

CFR scaling exponent corresponds to a constant flux of massthrough the inertial range.

More generally, we might have a mass dependent kernel :

λ → λ(m1,m2)

which is homogeneous of degree ζ . Then CFR becomes

γ2 = 3 + ζ.

Warwick, December 2005 – p. 11/20

Page 32: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Constant Flux Relation for the Takayasu Model

After Z.T. we see that the RHS of Hopf equation is exactly zerofor h = 3/2.

We conclude that γ2 = 3 exactly (modulo some convergenceissues).N. B. γ2 = γMF

2 , but γ1 = 4/3 6= γMF1 = 3/2.

CFR scaling exponent corresponds to a constant flux of massthrough the inertial range.

More generally, we might have a mass dependent kernel :

λ → λ(m1,m2)

which is homogeneous of degree ζ . Then CFR becomes

γ2 = 3 + ζ.

Warwick, December 2005 – p. 11/20

Page 33: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Essential Ingredients for CFR

Nonlinear interactions which redistribute some conservedquantity between the modes of the system.

Existence of an inertial range and a stationary constant fluxstate at large time.

Identification of the correlation function responsible fortransfer of flux.

Scale invariance.

Warwick, December 2005 – p. 12/20

Page 34: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Essential Ingredients for CFR

Nonlinear interactions which redistribute some conservedquantity between the modes of the system.

Existence of an inertial range and a stationary constant fluxstate at large time.

Identification of the correlation function responsible fortransfer of flux.

Scale invariance.

These features are not unique to Takayasu model. There should be aCFR in many (most) turbulence-like systems.

Warwick, December 2005 – p. 12/20

Page 35: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Energy CFR in wave turbulence: general considerations.

The Hamiltonian is H =∫

d~kh(~k),

h(~k) = ω(~k)a(~k)a(~k) + u(~k)

where u(~k) is a non-linear part of Hamiltonian density. LetU =

d~ku(~k).

Variables a(~k), a(~k) are canonical, i. e.

{a(~k), a(~k′)} = iδ(d)(~k − ~k′),

{a(~k), a(~k′)} = 0 = {a(~k), a(~k′)}

Continuity equation associated with conservation of energy:

〈u(~k) − ˙a(~k)δU

δa(~k)− a(~k)

δU

δa(~k)〉 = 0.

Warwick, December 2005 – p. 13/20

Page 36: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Energy CFR in wave turbulence: general considerations.

The Hamiltonian is H =∫

d~kh(~k),

h(~k) = ω(~k)a(~k)a(~k) + u(~k)

where u(~k) is a non-linear part of Hamiltonian density. LetU =

d~ku(~k).

Variables a(~k), a(~k) are canonical, i. e.

{a(~k), a(~k′)} = iδ(d)(~k − ~k′),

{a(~k), a(~k′)} = 0 = {a(~k), a(~k′)}

Continuity equation associated with conservation of energy:

〈u(~k) − ˙a(~k)δU

δa(~k)− a(~k)

δU

δa(~k)〉 = 0.

Warwick, December 2005 – p. 13/20

Page 37: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Energy CFR in wave turbulence: general considerations.

The Hamiltonian is H =∫

d~kh(~k),

h(~k) = ω(~k)a(~k)a(~k) + u(~k)

where u(~k) is a non-linear part of Hamiltonian density. LetU =

d~ku(~k).

Variables a(~k), a(~k) are canonical, i. e.

{a(~k), a(~k′)} = iδ(d)(~k − ~k′),

{a(~k), a(~k′)} = 0 = {a(~k), a(~k′)}

Continuity equation associated with conservation of energy:

〈u(~k) − ˙a(~k)δU

δa(~k)− a(~k)

δU

δa(~k)〉 = 0.

Warwick, December 2005 – p. 13/20

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Energy CFR in 3-wave turbulence.

u(~k0) =∫ ∫

d~k1d~k2λ(k0; k1, k2)δ(~k0,12)(

a(~k0)a(~k1)a(~k2) + c. c.)

,

where λ is homogeneous of degree γ.

Continuity equation for energy density takes the form∫ ∫

kd−11 dk1k

d−12 dk2

(

λ(k; k1, k2)C(k, k1, k2)

−λ(k1; k, k2)C(k1, k, k2)

)

= 0,

where C(~k1, ~k,~k2) is angle average of 〈Re(

a(~k1) ˙a(~k)a(~k2))

〉.

We assume that C scales with exponent h, to be determined.

Zakharov transformation of the first integral:k1 = k

k′

1

k, k2 = kk′

1

k′

2.

Warwick, December 2005 – p. 14/20

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Energy CFR in 3-wave turbulence.

u(~k0) =∫ ∫

d~k1d~k2λ(k0; k1, k2)δ(~k0,12)(

a(~k0)a(~k1)a(~k2) + c. c.)

,

where λ is homogeneous of degree γ.

Continuity equation for energy density takes the form∫ ∫

kd−11 dk1k

d−12 dk2

(

λ(k; k1, k2)C(k, k1, k2)

−λ(k1; k, k2)C(k1, k, k2)

)

= 0,

where C(~k1, ~k,~k2) is angle average of 〈Re(

a(~k1) ˙a(~k)a(~k2))

〉.

We assume that C scales with exponent h, to be determined.

Zakharov transformation of the first integral:k1 = k

k′

1

k, k2 = kk′

1

k′

2.

Warwick, December 2005 – p. 14/20

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Energy CFR in 3-wave turbulence.

u(~k0) =∫ ∫

d~k1d~k2λ(k0; k1, k2)δ(~k0,12)(

a(~k0)a(~k1)a(~k2) + c. c.)

,

where λ is homogeneous of degree γ.

Continuity equation for energy density takes the form∫ ∫

kd−11 dk1k

d−12 dk2

(

λ(k; k1, k2)C(k, k1, k2)

−λ(k1; k, k2)C(k1, k, k2)

)

= 0,

where C(~k1, ~k,~k2) is angle average of 〈Re(

a(~k1) ˙a(~k)a(~k2))

〉.

We assume that C scales with exponent h, to be determined.

Zakharov transformation of the first integral:k1 = k

k′

1

k, k2 = kk′

1

k′

2.

Warwick, December 2005 – p. 14/20

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Energy CFR in 3-wave turbulence (continued).

The result of applying ZT to the continuity equation is

∫ ∫

kd−11 dk1k

d−12 dk2

(

(

k

k1

)3d+h+γ

− 1

)

λ(k1; k, k2)C(k1, k, k2) = 0,

which is identically satisfied if h = −3d − γ.

We conclude that C ∼ k−3d−γ .

In the limit of weak non-linearity C can be expressed in termsof particle density n(k) using weak turbulence closure:

C = Re〈a1 ˙aa2〉 ∼ λn2ωδ(∆~k)δ(∆ω(k)) ∼ (k−d−γ)2k−d+γ ∼ k−3d−γ ,

which is consistent with CFR. However we expect CFR to holdeven in the regime where weak turbulence approximation is notvalid.

Warwick, December 2005 – p. 15/20

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Energy CFR in 3-wave turbulence (continued).

The result of applying ZT to the continuity equation is

∫ ∫

kd−11 dk1k

d−12 dk2

(

(

k

k1

)3d+h+γ

− 1

)

λ(k1; k, k2)C(k1, k, k2) = 0,

which is identically satisfied if h = −3d − γ.

We conclude that C ∼ k−3d−γ .

In the limit of weak non-linearity C can be expressed in termsof particle density n(k) using weak turbulence closure:

C = Re〈a1 ˙aa2〉 ∼ λn2ωδ(∆~k)δ(∆ω(k)) ∼ (k−d−γ)2k−d+γ ∼ k−3d−γ ,

which is consistent with CFR. However we expect CFR to holdeven in the regime where weak turbulence approximation is notvalid.

Warwick, December 2005 – p. 15/20

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Energy CFR in 3-wave turbulence (continued).

The result of applying ZT to the continuity equation is

∫ ∫

kd−11 dk1k

d−12 dk2

(

(

k

k1

)3d+h+γ

− 1

)

λ(k1; k, k2)C(k1, k, k2) = 0,

which is identically satisfied if h = −3d − γ.

We conclude that C ∼ k−3d−γ .

In the limit of weak non-linearity C can be expressed in termsof particle density n(k) using weak turbulence closure:

C = Re〈a1 ˙aa2〉 ∼ λn2ωδ(∆~k)δ(∆ω(k)) ∼ (k−d−γ)2k−d+γ ∼ k−3d−γ ,

which is consistent with CFR. However we expect CFR to holdeven in the regime where weak turbulence approximation is notvalid.

Warwick, December 2005 – p. 15/20

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Energy CFR in 4-wave turbulence.

u(~k) = 12

d~k1d~k2d~k3 λ(k; k1, k2, k3)δ(~k + ~k1 − ~k2 − ~k3)(

a(~k) a(~k1) a(~k2) a(~k3) + c. c.)

Continuity equation after ZT:0 =

(k1k2k3)d−1dk1dk2dk3λ(k, k1, k2, k3)C(k, k1, k2, k3)

[(

kk1

)y

+(

kk2

)y

+(

kk3

)y

− 3]

,

where C(k, k1, k2, k3) is angle average ofRe 〈a(~k) a(~k1) a(~k2) a(~k2)〉; y = 4d + γ + h. h is a scalingexponent of C.

Energy CFR: h = −4d − γ.

Weak turbulence limit:C ∼ λn3ωδ(ω)δ(k) ∼ kγ−d(k−2/3γ−d)3 = k−γ−4d.

Warwick, December 2005 – p. 16/20

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Energy CFR in 4-wave turbulence.

u(~k) = 12

d~k1d~k2d~k3 λ(k; k1, k2, k3)δ(~k + ~k1 − ~k2 − ~k3)(

a(~k) a(~k1) a(~k2) a(~k3) + c. c.)

Continuity equation after ZT:0 =

(k1k2k3)d−1dk1dk2dk3λ(k, k1, k2, k3)C(k, k1, k2, k3)

[(

kk1

)y

+(

kk2

)y

+(

kk3

)y

− 3]

,

where C(k, k1, k2, k3) is angle average ofRe 〈a(~k) a(~k1) a(~k2) a(~k2)〉; y = 4d + γ + h. h is a scalingexponent of C.

Energy CFR: h = −4d − γ.

Weak turbulence limit:C ∼ λn3ωδ(ω)δ(k) ∼ kγ−d(k−2/3γ−d)3 = k−γ−4d.

Warwick, December 2005 – p. 16/20

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Energy CFR in 4-wave turbulence.

u(~k) = 12

d~k1d~k2d~k3 λ(k; k1, k2, k3)δ(~k + ~k1 − ~k2 − ~k3)(

a(~k) a(~k1) a(~k2) a(~k3) + c. c.)

Continuity equation after ZT:0 =

(k1k2k3)d−1dk1dk2dk3λ(k, k1, k2, k3)C(k, k1, k2, k3)

[(

kk1

)y

+(

kk2

)y

+(

kk3

)y

− 3]

,

where C(k, k1, k2, k3) is angle average ofRe 〈a(~k) a(~k1) a(~k2) a(~k2)〉; y = 4d + γ + h. h is a scalingexponent of C.

Energy CFR: h = −4d − γ.

Weak turbulence limit:C ∼ λn3ωδ(ω)δ(k) ∼ kγ−d(k−2/3γ−d)3 = k−γ−4d.

Warwick, December 2005 – p. 16/20

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Energy CFR in 4-wave turbulence.

u(~k) = 12

d~k1d~k2d~k3 λ(k; k1, k2, k3)δ(~k + ~k1 − ~k2 − ~k3)(

a(~k) a(~k1) a(~k2) a(~k3) + c. c.)

Continuity equation after ZT:0 =

(k1k2k3)d−1dk1dk2dk3λ(k, k1, k2, k3)C(k, k1, k2, k3)

[(

kk1

)y

+(

kk2

)y

+(

kk3

)y

− 3]

,

where C(k, k1, k2, k3) is angle average ofRe 〈a(~k) a(~k1) a(~k2) a(~k2)〉; y = 4d + γ + h. h is a scalingexponent of C.

Energy CFR: h = −4d − γ.

Weak turbulence limit:C ∼ λn3ωδ(ω)δ(k) ∼ kγ−d(k−2/3γ−d)3 = k−γ−4d.

Warwick, December 2005 – p. 16/20

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Wave action CFR in 4-wave turbulence (inverse cascade).

Additional integral of motion: N =∫

d~ka(~k)a(~k).

Particle density continuity equation in the inertial range:0 =∫

dk2dk3dk4 (k1k2k3k4)d−1λ(k1, k2, k3, k4)C(k1, k2, k3, k4)

ky1

[

k−y1 + k−y

2 − k−y3 − k−y

4

]

,where y = h + γ + 4d and C is angle average of〈a~k1

a~k2a~k3

a~k4〉.

CFR in inverse cascade: h = −γ − 4d.

Weak turbulence limit:C ∼ λδ(k)δ(ω)n3 ∼ kγ−d−α(k−2γ/3+α/3−d)3 = k−4d−γ .

Warwick, December 2005 – p. 17/20

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Wave action CFR in 4-wave turbulence (inverse cascade).

Additional integral of motion: N =∫

d~ka(~k)a(~k).

Particle density continuity equation in the inertial range:0 =∫

dk2dk3dk4 (k1k2k3k4)d−1λ(k1, k2, k3, k4)C(k1, k2, k3, k4)

ky1

[

k−y1 + k−y

2 − k−y3 − k−y

4

]

,where y = h + γ + 4d and C is angle average of〈a~k1

a~k2a~k3

a~k4〉.

CFR in inverse cascade: h = −γ − 4d.

Weak turbulence limit:C ∼ λδ(k)δ(ω)n3 ∼ kγ−d−α(k−2γ/3+α/3−d)3 = k−4d−γ .

Warwick, December 2005 – p. 17/20

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Wave action CFR in 4-wave turbulence (inverse cascade).

Additional integral of motion: N =∫

d~ka(~k)a(~k).

Particle density continuity equation in the inertial range:0 =∫

dk2dk3dk4 (k1k2k3k4)d−1λ(k1, k2, k3, k4)C(k1, k2, k3, k4)

ky1

[

k−y1 + k−y

2 − k−y3 − k−y

4

]

,

where y = h+ γ +4d and C is angle average of 〈a~k1a~k2

a~k3a~k4

〉.

CFR in inverse cascade: h = −γ − 4d.

Weak turbulence limit:C ∼ λδ(k)δ(ω)n3 ∼ kγ−d−α(k−2γ/3+α/3−d)3 = k−4d−γ .

Warwick, December 2005 – p. 17/20

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Wave action CFR in 4-wave turbulence (inverse cascade).

Additional integral of motion: N =∫

d~ka(~k)a(~k).

Particle density continuity equation in the inertial range:0 =∫

dk2dk3dk4 (k1k2k3k4)d−1λ(k1, k2, k3, k4)C(k1, k2, k3, k4)

ky1

[

k−y1 + k−y

2 − k−y3 − k−y

4

]

,

where y = h+ γ +4d and C is angle average of 〈a~k1a~k2

a~k3a~k4

〉.

CFR in inverse cascade: h = −γ − 4d.

Weak turbulence limit:C ∼ λδ(k)δ(ω)n3 ∼ kγ−d−α(k−2γ/3+α/3−d)3 = k−4d−γ .

Warwick, December 2005 – p. 17/20

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More examples of systems constrained by CFR

1-D Burgers : 〈(

u(r/2) − u(−r/2)

)3

〉 = Cr. Derived by

applying ZT to the continuity equation for spectral energydensity.

Burgers dynamics is essentially non-perturbative due to thepresence of shock waves.

Charge model : charges ±q0 are introduced into the system atan equal rate. P2(q1, q2)〉 ∼ q−γ−4.

Charge model has two integrals of motion: charge Q and 〈Q2〉.Q-flux is zeros but the flux of Q2 is constant. Charge modelprovides an example of CFR associated with a quantityconserved only on average.

Warwick, December 2005 – p. 18/20

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More examples of systems constrained by CFR

1-D Burgers : 〈(

u(r/2) − u(−r/2)

)3

〉 = Cr. Derived by

applying ZT to the continuity equation for spectral energydensity.

Burgers dynamics is essentially non-perturbative due to thepresence of shock waves.

Charge model : charges ±q0 are introduced into the system atan equal rate. P2(q1, q2)〉 ∼ q−γ−4.

Charge model has two integrals of motion: charge Q and 〈Q2〉.Q-flux is zeros but the flux of Q2 is constant. Charge modelprovides an example of CFR associated with a quantityconserved only on average.

Warwick, December 2005 – p. 18/20

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More examples of systems constrained by CFR

1-D Burgers : 〈(

u(r/2) − u(−r/2)

)3

〉 = Cr. Derived by

applying ZT to the continuity equation for spectral energydensity.

Burgers dynamics is essentially non-perturbative due to thepresence of shock waves.

Charge model : charges ±q0 are introduced into the system atan equal rate. P2(q1, q2)〉 ∼ q−γ−4.

Charge model has two integrals of motion: charge Q and 〈Q2〉.Q-flux is zeros but the flux of Q2 is constant. Charge modelprovides an example of CFR associated with a quantityconserved only on average.

Warwick, December 2005 – p. 18/20

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More examples of systems constrained by CFR

1-D Burgers : 〈(

u(r/2) − u(−r/2)

)3

〉 = Cr. Derived by

applying ZT to the continuity equation for spectral energydensity.

Burgers dynamics is essentially non-perturbative due to thepresence of shock waves.

Charge model : charges ±q0 are introduced into the system atan equal rate. P2(q1, q2)〉 ∼ q−γ−4.

Charge model has two integrals of motion: charge Q and 〈Q2〉.Q-flux is zeros but the flux of Q2 is constant. Charge modelprovides an example of CFR associated with a quantityconserved only on average.

Warwick, December 2005 – p. 18/20

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The Question of Locality

The scaling solution for the two point function must yield aconvergent integrand on the RHS of the Hopf equation in order forit to be physically realisable.

Warwick, December 2005 – p. 19/20

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The Question of Locality

The scaling solution for the two point function must yield aconvergent integrand on the RHS of the Hopf equation in order forit to be physically realisable.This depends on the behaviour of φ(x) as x → 0. For Takayasumodel, if φ(x) ∼ xσ, we require σ > − 1

2. (In fact, σ ∼ ε).

Warwick, December 2005 – p. 19/20

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The Question of Locality

The scaling solution for the two point function must yield aconvergent integrand on the RHS of the Hopf equation in order forit to be physically realisable.This depends on the behaviour of φ(x) as x → 0. For Takayasumodel, if φ(x) ∼ xσ, we require σ > − 1

2. (In fact, σ ∼ ε).

For more general aggregation problems, reaction rate is massdependent:

λ → λ(m1,m2)

λ(m1,m2) ∼ mµ1m

ν2 for m2 >> m1

Warwick, December 2005 – p. 19/20

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The Question of Locality

The scaling solution for the two point function must yield aconvergent integrand on the RHS of the Hopf equation in order forit to be physically realisable.This depends on the behaviour of φ(x) as x → 0. For Takayasumodel, if φ(x) ∼ xσ, we require σ > − 1

2. (In fact, σ ∼ ε).

For more general aggregation problems, reaction rate is massdependent:

λ → λ(m1,m2)

λ(m1,m2) ∼ mµ1m

ν2 for m2 >> m1

Constant flux state is local if

σ >1

2(ν − µ − 1)

Warwick, December 2005 – p. 19/20

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Conclusions

An analogue of the 45-law of Navier-Stokes turbulence exists for

many turbulence-like systems.

Locality of CFR law must be checked a posteriori. Need thebehaviour as x → 0 of the scaling function, φ(x).

For some systems which are close to MFT asymptotics of φ areclose to constant and locality holds provided MF localitycondition holds. Examples : Takayasu model, 4-waveturbulence.

Even for systems which are not close to any MFT, CFR stillseems to hold. Examples: Burgers turbulence, Takayasu modelin d = 1. In fact, for BT the complete spectrum of scalingexponents can be obtained by analyzing continuity equationsfor < un >.

Open question : what happens for systems where locality is notexpected to hold?

Warwick, December 2005 – p. 20/20

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Conclusions

An analogue of the 45-law of Navier-Stokes turbulence exists for

many turbulence-like systems.

Locality of CFR law must be checked a posteriori. Need thebehaviour as x → 0 of the scaling function, φ(x).

For some systems which are close to MFT asymptotics of φ areclose to constant and locality holds provided MF localitycondition holds. Examples : Takayasu model, 4-waveturbulence.

Even for systems which are not close to any MFT, CFR stillseems to hold. Examples: Burgers turbulence, Takayasu modelin d = 1. In fact, for BT the complete spectrum of scalingexponents can be obtained by analyzing continuity equationsfor < un >.

Open question : what happens for systems where locality is notexpected to hold?

Warwick, December 2005 – p. 20/20

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Conclusions

An analogue of the 45-law of Navier-Stokes turbulence exists for

many turbulence-like systems.

Locality of CFR law must be checked a posteriori. Need thebehaviour as x → 0 of the scaling function, φ(x).

For some systems which are close to MFT asymptotics of φ areclose to constant and locality holds provided MF localitycondition holds. Examples : Takayasu model, 4-waveturbulence.

Even for systems which are not close to any MFT, CFR stillseems to hold. Examples: Burgers turbulence, Takayasu modelin d = 1. In fact, for BT the complete spectrum of scalingexponents can be obtained by analyzing continuity equationsfor < un >.

Open question : what happens for systems where locality is notexpected to hold?

Warwick, December 2005 – p. 20/20

Page 63: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Conclusions

An analogue of the 45-law of Navier-Stokes turbulence exists for

many turbulence-like systems.

Locality of CFR law must be checked a posteriori. Need thebehaviour as x → 0 of the scaling function, φ(x).

For some systems which are close to MFT asymptotics of φ areclose to constant and locality holds provided MF localitycondition holds. Examples : Takayasu model, 4-waveturbulence.

Even for systems which are not close to any MFT, CFR stillseems to hold. Examples: Burgers turbulence, Takayasu modelin d = 1. In fact, for BT the complete spectrum of scalingexponents can be obtained by analyzing continuity equationsfor < un >.

Open question : what happens for systems where locality is notexpected to hold?

Warwick, December 2005 – p. 20/20

Page 64: Constant Flux Relation in Non-equilibrium Statistical ...homepages.warwick.ac.uk/~masbu/turb_symp/dec... · Non-equilibrium Statistical Mechanics Oleg Zaboronski Department of Mathematics

Conclusions

An analogue of the 45-law of Navier-Stokes turbulence exists for

many turbulence-like systems.

Locality of CFR law must be checked a posteriori. Need thebehaviour as x → 0 of the scaling function, φ(x).

For some systems which are close to MFT asymptotics of φ areclose to constant and locality holds provided MF localitycondition holds. Examples : Takayasu model, 4-waveturbulence.

Even for systems which are not close to any MFT, CFR stillseems to hold. Examples: Burgers turbulence, Takayasu modelin d = 1. In fact, for BT the complete spectrum of scalingexponents can be obtained by analyzing continuity equationsfor < un >.

Open question : what happens for systems where locality is notexpected to hold? Warwick, December 2005 – p. 20/20