L-2: Difference between revisions

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* The dynamics is overdamped, so that we can neglect the inertial term.
* The dynamics is overdamped, so that we can neglect the inertial term.


===derivation===
===Derivation===
The Langevin equation of motion is
The Langevin equation of motion is
<center> <math>
<center> <math>
  \partial_t h(r,t)= - \mu \frac{\delta E_{pot}}{\delta h(r,t)} + \eta(r,t),  
  \partial_t h(r,t)= - \mu \frac{\delta E_{pot}}{\delta h(r,t)} + \eta(r,t)
\quad
</math></center>
The first term <math> -  \delta E_{pot}/\delta h(r,t) </math> is the elastic force trying to smooth the interface, the mobility <math> \mu </math> is inversily proportional to the viscosity. The second term is the Langevin Gaussian noise defined by the correlations
<center> <math>
\langle \eta(r,t) \rangle =0, \; \langle \eta(r',t')\eta(r,t) \rangle = 2 D \delta^d(r-r') \delta(t-t')  
\langle \eta(r,t) \rangle =0, \; \langle \eta(r',t')\eta(r,t) \rangle = 2 D \delta^d(r-r') \delta(t-t')  
</math></center>
</math></center>
The first term <math> -  \delta E_{pot}/\delta h(r,t) </math> is the elastic force trying to smooth the interface, the mobility <math> \mu </math> is inversily proportional to the viscosity.
The symbol <math> \langle \ldots \rangle</math> indicates the average over the thermal noise.
The symbol <math> \langle \ldots \rangle</math> indicates the average over the thermal noise.
The diffusion constant is fixed by the Eistein relation (fluctuation-dissipation theorem):
The diffusion constant is fixed by the Eistein relation (fluctuation-dissipation theorem):
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   D= \mu K_B T
   D= \mu K_B T
</math></center>
</math></center>
The potential energy of surface tension is
 
The potential energy of surface tension can be expanded at the lowest order in the gradient:
<center> <math>  
<center> <math>  
E_{pot} = \sigma \int d^d r\sqrt{1 +(\grad h)^2} \sim \text{const.} + \frac{\sigma}{2} \int d^d r (\grad h)^2
E_{pot} = \sigma \int d^d r\sqrt{1 +(\nabla h)^2} \sim \text{const.} + \frac{\sigma}{2} \int d^d r (\nabla h)^2
</math></center>
Setting <math> \mu=1, \sigma=1/2 </math> we have the Edward Wilkinson equation:
<center> <math>
\partial_t h(r,t)= \nabla^2 h(r,t) + \eta(r,t)
</math></center>
</math></center>

Revision as of 14:39, 27 December 2023

Stochastic Interfaces and growth processes

The physical properties of many materials are controlled by the interfaces embedded in it. This is the case of the dislocations in a crystal, the domain walls in a ferromagnet or the vortices in a supercoductors. In the next lecture we will discuss how impurities affect the behviour of these interfaces. Today we focus on thermal fluctuations and introduce two important equations for the interface dynamics: the Edward Wilkinson euqation and the Kardar Parisi Zhang equation.

An interface at Equilibrium: the Edward Wilkinson equation

Consider domain wall h(r,t) fluctuating at equilibrium at the temparature 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 inversily proportional to the viscosity. The second term is the Langevin Gaussian noise defined by the correlations

η(r,t)=0,η(r,t)η(r,t)=2Dδd(rr)δ(tt)

The symbol indicates the average over the thermal noise. The diffusion constant is fixed by the Eistein relation (fluctuation-dissipation theorem):

D=μKBT

The potential energy of surface tension can be expanded at the lowest order in the gradient:

Epot=σddr1+(h)2const.+σ2ddr(h)2

Setting μ=1,σ=1/2 we have the Edward Wilkinson equation:

th(r,t)=2h(r,t)+η(r,t)