Key claim

A static RG fixed point does not determine critical relaxation by itself.

Two systems can share the same equilibrium ϕ4 theory and static susceptibility while conservation changes their response poles and dynamical exponents.

Theme

Static Wilson–Fisher universality versus dynamical critical slowing.

Guiding question

How can two systems have

χ(q,0)∼q−2+η

yet exhibit different low-frequency response functions and different dynamical exponents z?

The equilibrium functional fixes static probabilities and correlations. A retarded response also needs an equation of motion, its conservation laws, kinetic coefficients, and noise.

Setup

Consider a classical scalar order parameter in d=4−ϵ spatial dimensions:

F[ϕ;h]=∫ddx[12(∇ϕ)2+r2ϕ2+u4!ϕ4−hϕ].

For ϵ>0 and u>0, tuning r to the critical surface leads to the Wilson–Fisher fixed point.

The equilibrium measure is

Peq[ϕ]=1Zexp⁡[−F[ϕ]T],

where kB=1.

This measure contains no rule for how ϕ relaxes.

Start with nonconserved relaxational dynamics, Model A:

∂tϕ(x,t)=−ΓδFδϕ(x,t)+ζ(x,t).

The white noise satisfies

⟨ζ(x,t)ζ(x′,t′)⟩=2ΓTδd(x−x′)δ(t−t′).

The drift and noise amplitude obey detailed balance and make Peq stationary.

At criticality, dynamic scaling takes the form

χR(q,ω)=q−2+ηΦ(ωqz),

up to nonuniversal metric factors.

The static exponent η does not determine z.

Analysis

Derivation: derive the Model-A pole

Set u=0. In Fourier space,

[−iω+Γ(r+q2)]ϕ(q,ω)=Γh(q,ω)+ζ(q,ω).

The retarded susceptibility is

χAR(q,ω)=δ⟨ϕ(q,ω)⟩δh(q,ω)=ΓΓ(r+q2)−iω.

Equivalently,

χAR(q,ω)=1r+q2−iω/Γ.

For ω>0, its dissipative part is

χA″(q,ω)=ΓωΓ2(r+q2)2+ω2.

The pole lies at

ω∗=−iΓ(r+q2),

so

τq=1Γ(r+q2).

At the Gaussian critical point r=0,

τq∼q−2,zAGaussian=2.

The equilibrium correlation spectrum is

CA(q,ω)=2ΓTω2+Γ2(r+q2)2.

It obeys the classical fluctuation–dissipation relation

CA(q,ω)=2TωχA″(q,ω).

The correlation function and dissipative response therefore contain the same relaxation rate.

Scope and assumptions: conservation changes the clock

The functional F[ϕ] does not select Model A.

Suppose ϕ is a conserved density. Local conservation requires

∂tϕ+∇⋅j=0.

Choose the dissipative current

j=−Γ∇δFδϕ+ξ.

Its noise obeys

⟨ξi(x,t)ξj(x′,t′)⟩=2ΓTδijδd(x−x′)δ(t−t′).

The order parameter then follows Model-B dynamics:

∂tϕ=Γ∇2δFδϕ+ζB,ζB=−∇⋅ξ.

The conserved noise vanishes at zero momentum:

⟨ζB(q,t)ζB(−q,t′)⟩=2ΓTq2δ(t−t′).

In the Gaussian theory,

χBR(q,ω)=Γq2Γq2(r+q2)−iω.

Its static limit matches Model A:

χBR(q,0)=1r+q2.

Its pole does not:

ω∗=−iΓq2(r+q2).

At r=0,

τq∼q−4,zBGaussian=4.

The extra q2 comes from local conservation. At q=0, the total conserved order parameter cannot relax.

At the interacting fixed point,

zA=2+O(ϵ2),

while equilibrium Model B obeys

zB=4−η.

The Model-B result assumes detailed balance and no additional slow field coupled to the order parameter.

Physical interpretation: separate restoring force from mobility

Write both linearized dynamics as

[−iω+K(q)(r+q2)]ϕ=K(q)h+ζ.

The static inverse susceptibility

r+q2

is the thermodynamic restoring force.

The kinetic kernel is

KA(q)=Γ

for Model A and

KB(q)=Γq2

for Model B.

The static functional fixes the restoring force. Conservation fixes the small-q structure of the kinetic kernel, which then sets the response pole.

The correspondence can be summarized as follows:

StructureModel AModel B
Order parameterNonconservedConserved
Kinetic kernelΓΓq2
Gaussian rate at r=0Γq2Γq4
Gaussian exponentz=2z=4
Static susceptibilityq−2q−2

This correspondence has a clear boundary.

Coupling the order parameter to conserved energy produces Model C. Coupling a conserved order parameter to momentum density leads toward Model H.

Colored noise, memory kernels, driving, or nonreciprocal couplings can also invalidate the equilibrium fluctuation–dissipation mapping.

False claim to diagnose

Once the static RG flow reaches the Wilson–Fisher fixed point, the low-frequency susceptibility is fixed uniquely because all microscopic kinetic coefficients are irrelevant.

The claim confuses numerical kinetic coefficients with the structure of the kinetic operator.

Within one dynamical universality class, Γ sets a nonuniversal time scale. But conservation changes K(q) from a constant to a quantity that vanishes as q2.

That power of q survives coarse-graining because it expresses a conservation law.

A defensible statement is:

Static universality fixes equilibrium scaling. Dynamic universality additionally requires the slow variables, conservation laws, and noise structure.

What follows — and what does not

Four statements that sound similar have different logical status:

StatementStatus
Given F and detailed balance, the equilibrium measure fixes static correlations.Equilibrium statement
Given a linear Langevin equation, its kinetic kernel fixes the Gaussian response pole.Exact within the Gaussian dynamics
Model A and Model B can share the Wilson–Fisher static fixed point.RG classification
They must share the same z.False

The static fixed point classifies equal-time long-distance fluctuations. The dynamical fixed point classifies how the slow variables approach equilibrium.

Exercise

Use the Gaussian functional

F0=12∫ddx[(∇ϕ)2+rϕ2]−∫ddxhϕ.
  1. Derive χAR(q,ω) from Model-A dynamics.

  2. Find the frequency at which χA″(q,ω) is maximal.

  3. At r=0, put χAR into the form

    χAR(q,ω)=q−2ΦA(ωΓq2)

    and read off zA.

  4. Repeat the scaling analysis for Model B.

  5. Verify that both models have the same χR(q,0).

  6. Derive the factor q2 in the Model-B noise covariance from ζB=−∇⋅ξ.

Hint 1

For

f(ω)=ωa2+ω2,

solve df/dω=0.

Hint 2

Read z from the dimensionless combination of q and ω in the scaling function.

Oral check 1. Can two systems have identical equilibrium susceptibilities but parametrically different relaxation times?

Oral check 2. Which factor in Model B records local conservation?

Solution

For Model A,

χAR(q,ω)=ΓΓ(r+q2)−iω,

and

χA″(q,ω)=ΓωΓ2(r+q2)2+ω2.

Differentiating with respect to ω gives

ωpeak=Γ(r+q2).

At r=0,

χAR(q,ω)=q−211−iω/(Γq2).

Thus

zAGaussian=2.

For Model B,

χBR(q,ω)=Γq2Γq2(r+q2)−iω.

Equivalently,

χBR(q,ω)=1r+q2−iω/(Γq2).

At r=0,

χBR(q,ω)=q−211−iω/(Γq4).

Therefore,

zBGaussian=4.

Setting ω=0 gives

χAR(q,0)=χBR(q,0)=1r+q2.

Finally,

ζB(q,t)=−iq⋅ξ(q,t).

Using the current-noise covariance,

⟨ζB(q,t)ζB(−q,t′)⟩=2ΓTq2δ(t−t′).

The same q2 that suppresses uniform noise also slows the conserved mode.

Check your understanding

Which part of χR(q,ω) follows from the static ϕ4 fixed point, and which part requires a dynamical universality class?

Answer by naming one static datum and one dynamical datum.

You may also reply with “deeper,” “too easy,” “too hard,” or your derivation.

Further Reading

Connections and next step

  • Conceptual primitive: static fixed point versus dynamical fixed point.
  • Fields connected: static RG, Langevin dynamics, and linear response.
  • Toy system: scalar ϕ4 theory with Model-A and Model-B dynamics.
  • Decisive structure: KA(q)=Γ versus KB(q)=Γq2.
  • Assumption challenged: static universality uniquely fixes critical dissipation.
  • Next step: dynamic RG and renormalization of Γ.
  • Avoid repeating soon: basic analytic continuation and isolated quasiparticle decay.