Goal:  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 Edwards Wilkinson (EW)  and the Kardar Parisi Zhang (KPZ) equations.  
Interfaces: thermal shaking
Consider domain wall  fluctuating at  equilibrium at the temperature
 fluctuating at  equilibrium at the temperature  . Here
. Here  is  time,
  is  time,  defines the d-dimensional coordinate of the interface and
 defines the d-dimensional coordinate of the interface and  is the scalar height field. Hence, the domain wall separating two phases in a film has
 is the scalar height field. Hence, the domain wall separating two phases in a film has  , in a solid instead
, in a solid instead  .
. 
Two assumptions are done:
- Overhangs, pinch-off are neglected,  so that  is a scalar univalued function. is a scalar univalued function.
- The dynamics is overdamped, so that we can neglect the inertial term.
Derivation
The Langevin equation of motion is
  
The first term  is the elastic force trying to smooth the interface, the mobility
 is the elastic force trying to smooth the interface, the mobility  is the inverse of the viscosity. The second term is the Langevin noise. It is Guassian and defined by
 is the inverse of the viscosity. The second term is the Langevin noise. It is Guassian and defined by 
  
The symbol  indicates the average over the thermal noise and the diffusion constant is fixed by the Einstein relation
 indicates the average over the thermal noise and the diffusion constant is fixed by the Einstein relation  . We set
. We set   
The potential energy of surface tension ( is the stiffness) can be expanded at the lowest order in the gradient:
 is the stiffness) can be expanded at the lowest order in the gradient: 
  
Hence, we have the Edwards Wilkinson equation:
  
Scaling Invariance
The equation enjoys of a continuous symmetry because  and
 and  cannot be distinguished. This is a condition of scale invariance:
  cannot be distinguished. This is a condition of scale invariance:
  
Here  are the dynamic and the roughness exponent respectively. From dimensional analysis
 are the dynamic and the roughness exponent respectively. From dimensional analysis
  
From which you get  in any dimension and a rough interface below
 in any dimension and a rough interface below  with
 with  .
.
Exercise L2-A: Solve Edwards-Wilkinson
For simplicity, consider a 1-dimensional line of size L with periodic boundary conditions. It is useful to introduce the Fourier modes:
  
Here  and recall
 and recall  .
.
- Show that the EW equation writes
 
The solution of this first order linear equation writes
  
Assume that the interface is initially flat, namely  .
.  
- Compute the width   . Comment about the roughness and the short times growth. . Comment about the roughness and the short times growth.
KPZ equation and interface growth
Consider a domain wall in presence of a  positive magnetic field. At variance with the previous case the ferromagnetic  domain aligned with the field will expand while the other will shrink. The  motion of the interface describes now the growth of the stable domain, an out-of-equilibrium process.
Derivation
 
  The growth is normal (orthogonal) to the interface.
To derive the correct equation of a growing interface the key point is to realize that the growth occurs locally along the normal to the interface (see figure). 
Let us call  the velocity of the interface. Consider a point of the interface
 the velocity of the interface. Consider a point of the interface  , its tangent is
, its tangent is  . To evaluate the increment
. To evaluate the increment  use the Pitagora theorem:
 use the Pitagora theorem:
  
Hence, in generic dimension, the KPZ equation  is
  
Scaling Invariance
The symmetry  and
 and  still holds so that scale invariance is still expected. 
However the non-linearity originate an anomalous dimension and
 still holds so that scale invariance is still expected. 
However the non-linearity originate an anomalous dimension and  cannot be determined by simple dimensional analysis.
 cannot be determined by simple dimensional analysis. 
An important symmetry
Let us remark that if   is a solution of KPZ,also
 is a solution of KPZ,also  is a solution of KPZ, provided the change of variables
 is a solution of KPZ, provided the change of variables  .
You can check it, and you will obtain an equation with the statistically equivalent noise
 .
You can check it, and you will obtain an equation with the statistically equivalent noise  . The symmetry relies on two properties:
. The symmetry relies on two properties:
- The noise  is delta correlated in time is delta correlated in time
- Only  sticked together the two terms  and and enjoy the symmetry. Hence, under the rescaling enjoy the symmetry. Hence, under the rescaling
 
 
the second term should be  -independent. This provides a new and exact scaling relation
-independent. This provides a new and exact scaling relation
  
 
 
The d=1 case
In the  one dimensional case the KPZ equation writes
Hence, in generic dimension, the KPZ equation  is
  
The corresponding Fokker Planck equation for the probability ![{\displaystyle {\cal {P}}[h,t]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/4eef1f3e7f0c7a3d47eee29c04fa73a16a938d5b) can be written as
 can be written as
 ![{\displaystyle \partial _{t}{\cal {P}}=-\int dr{\frac {\delta }{\delta h_{r}}}\left\{\left[\nu \partial _{r}^{2}h+{\frac {\lambda }{2}}(\partial _{r}h)^{2}\right]{\cal {P}}\right\}+T\int dr{\frac {\delta ^{2}{\cal {P}}}{\delta h_{r}^{2}}}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/85f1bfa11b3f3a14f03be6d4273af19f03cd67ca) 
The probability
 ![{\displaystyle {\cal {P}}_{st}[h]\propto \exp \left\{-{\frac {1}{T}}\int dr\;{\frac {\nu }{2}}(\partial _{r}h)^{2}\right\}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/26dd6ed76657c9203e4b3fa1bbdbd9c82d6e6adc) 
is a stationary solution  (namely ![{\displaystyle \partial _{t}{\cal {P}}_{st}[h]=0}](https://wikimedia.org/api/rest_v1/media/math/render/svg/190e3e12b8ae78fa456ed2eea8b4f7a38bf2ad71) )for EW as you can check
 )for EW as you can check
  
It is also a solution (only for  )
)
 ![{\displaystyle \int dr{\frac {\delta }{\delta h_{r}}}\left[{\frac {\lambda }{2}}(\partial _{r}h)^{2}{\cal {P}}_{st}\right]=0}](https://wikimedia.org/api/rest_v1/media/math/render/svg/92ac1d5db7cc285ea2735c90143972e0b1e0fb52) 
even if the last equality has some issues of disretization. As a conclusion in  we have
 we have  as for EW, but
 as for EW, but  .
.