LBan-II: Difference between revisions

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  \partial_t h(r,t)= \nu \nabla^2 h(r,t) + \eta(r,t)
  \partial_t h(r,t)= \nu \nabla^2 h(r,t) + \eta(r,t)
</math></center>
</math></center>
=== Scaling Invariance===
The equation enjoys of a continuous symmetry because <math> h(r,t) </math> and <math> h(r,t)+c </math>  cannot be distinguished. This is a condition of scale invariance:
<center> <math>
h(b r, b^z t) \overset{in law}{\sim}  b^{\alpha} h(r,t)
</math></center>
Here <math>
z, \alpha
</math> are the dynamic and the roughness exponent respectively. From dimensional analysis
<center> <math>
b^{\alpha-z} \partial_t h(r,t)= b^{\alpha-2} \nabla^2 h(r,t) +b^{-d/2-z/2} \eta(r,t)
</math></center>
From which you get <math> z=2 </math> in any dimension and a rough interface below <math> d=2 </math> with <math> \alpha =(2-d)/2 </math>.
== Explicit Solution ==
For simplicity, consider a 1-dimensional line of size L with periodic boundary conditions. It is useful to introduce the Fourier modes:
<center> <math>
\hat h_q(t)= \frac{1}{L} \int_0^L e^{iqr} h(r,t), \quad h(r,t)= \sum_q e^{-iqr} \hat h_q(t)
</math></center>
Here <math> q=2 \pi n/L, n=\ldots ,-1,0,1,\ldots</math> and recall <math> \int_0^L d r e^{iqr}= L \delta_{q,0} </math>.
*  Show that the EW equation writes
<center> <math>
\partial_t \hat h_q(t)= -\nu q^2 \hat h_q(t) + \eta_q(t), \quad \text{with} \; \langle \eta_{q_1}(t')  \eta_{q_2}(t)\rangle =\frac{2 T}{L} \delta_{q_1,-q_2}\delta(t-t') 
</math></center>
The solution of this first order linear equation writes
<center> <math>
\hat h_q(t)= \hat h_q(0) e^{-\nu q^2  t} +\int_0^t d s e^{- \nu q^2 (t-s)} \eta_q(s)
</math></center>
Assume that the interface is initially flat, namely <math> \hat h_q(0) =0 </math>. 
* Compute the width  <math> \langle h(x,t)^2\rangle = \sum_q \langle h_q(t)h_{-q}(t) \rangle  </math>. Comment about the roughness and the short times growth.

Revision as of 21:45, 6 August 2025

Interfaces: thermal shaking

Consider domain wall h(r,t) fluctuating at equilibrium at the temperature T. Here t is time, r defines the d-dimensional coordinate of the interface and h is the scalar height field. Hence, the domain wall separating two phases in a film has d=1,r, in a solid instead d=2,r𝟐.

Two assumptions are done:

  • Overhangs, pinch-off are neglected, so that h(r,t) is a scalar univalued function.
  • The dynamics is overdamped, so that we can neglect the inertial term.

Derivation

The Langevin equation of motion is

th(r,t)=μδEpotδh(r,t)+η(r,t)

The first term δEpot/δh(r,t) is the elastic force trying to smooth the interface, the mobility μ is the inverse of the viscosity. The second term is the Langevin noise. It is Guassian and defined by

η(r,t)=0,η(r,t)η(r,t)=2dDδd(rr)δ(tt)

The symbol indicates the average over the thermal noise and the diffusion constant is fixed by the Einstein relation D=μKBT. We set μ=KB=1

The potential energy of surface tension (ν is the stiffness) can be expanded at the lowest order in the gradient:

Epot=νddr1+(h)2const.+ν2ddr(h)2

Hence, we have the Edwards Wilkinson equation:

th(r,t)=ν2h(r,t)+η(r,t)

Scaling Invariance

The equation enjoys of a continuous symmetry because h(r,t) and h(r,t)+c cannot be distinguished. This is a condition of scale invariance:

h(br,bzt)inlawbαh(r,t)

Here z,α are the dynamic and the roughness exponent respectively. From dimensional analysis

bαzth(r,t)=bα22h(r,t)+bd/2z/2η(r,t)

From which you get z=2 in any dimension and a rough interface below d=2 with α=(2d)/2.

Explicit Solution

For simplicity, consider a 1-dimensional line of size L with periodic boundary conditions. It is useful to introduce the Fourier modes:

h^q(t)=1L0Leiqrh(r,t),h(r,t)=qeiqrh^q(t)

Here q=2πn/L,n=,1,0,1, and recall 0Ldreiqr=Lδq,0.

  • Show that the EW equation writes
th^q(t)=νq2h^q(t)+ηq(t),withηq1(t)ηq2(t)=2TLδq1,q2δ(tt)

The solution of this first order linear equation writes

h^q(t)=h^q(0)eνq2t+0tdseνq2(ts)ηq(s)

Assume that the interface is initially flat, namely h^q(0)=0.

  • Compute the width h(x,t)2=qhq(t)hq(t). Comment about the roughness and the short times growth.