L-2: Difference between revisions
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You can check it, and you will obtain an equation with the statistically equivalent noise <math> \tilde \eta(r,t)=\eta(r - \lambda v_0 t,t)</math>. The symmetry relies on two properties: | You can check it, and you will obtain an equation with the statistically equivalent noise <math> \tilde \eta(r,t)=\eta(r - \lambda v_0 t,t)</math>. The symmetry relies on two properties: | ||
* The noise <math> \eta(r,t) </math> is delta correlated in time | * The noise <math> \eta(r,t) </math> is delta correlated in time | ||
* Only sticked together the two terms <math> \ | * Only sticked together the two terms <math> \partial_t h(r,t)</math> and <math> \frac{\lambda}{2} (\partial_r h(r,t))^2</math> enjoy the symmetry. Hence, under the rescaling | ||
<center> | <center> | ||
<math> b^{\alpha-z} ( \ | <math> b^{\alpha-z} \left( \partial_t h(r,t)- b^{ \alpha+z-2 } \frac{\lambda}{2} (\partial_r h(r,t))^2\right)</math> | ||
</center> | </center> | ||
the second term should be <math> b </math>-independent. This provides a new and exact scaling relation | the second term should be <math> b </math>-independent. This provides a new and exact scaling relation |
Revision as of 16:21, 29 December 2023
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 Edward Wilkinson (EW) and the Kardar Parisi Zhang (KPZ) equations.
Edward Wilkinson: an interface at equilibrium:
Consider domain wall fluctuating at equilibrium at the temparature . Here is time, 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 , in a solid instead .
Two assumptions are done:
- Overhangs, pinch-off are neglected, so that 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 inversily proportional to the viscosity. The second term is the Langevin Gaussian noise defined by the correlations
The symbol indicates the average over the thermal noise. The diffusion constant is fixed by the Eistein relation (fluctuation-dissipation theorem):
The potential energy of surface tension can be expanded at the lowest order in the gradient:
Setting we have the Edward Wilkinson equation:
Scaling Invariance
The equation enjoys of a continuous symmetry because and cannot be distinguished. This is a conndition os scale invariance:
Here are the dynamic and the roughness exponent rispectively. From dimensional analysis
From which you get in any dimension and a rough interface below with .
Exercise L2-A: Solve Edward-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 .
- Show that the EW equation writes
The solution of this first order linear equation writes
Assume that the interface is initialy flat, namely . Note that
- Compute which describes how the noise injects the energy on the different modes. Comment about equipartition and the dynamical exponent
- Compute the width . 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
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 , its tangent is . To evaluate the increment $\delta h(r,t)$ use the Pitagora theorem:
Hence, in generic dimension, the KPZ equation is
Scaling Invariance
The symmetry 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. Moreover, the previous scaling relation does not holds because the non-linear term is non-conservative:
An important symmetry
Let us remark that if is a solution of KPZ,also is a solution of KPZ.
You can check it, and you will obtain an equation with the statistically equivalent noise . The symmetry relies on two properties:
- The noise is delta correlated in time
- Only sticked together the two terms and enjoy the symmetry. Hence, under the rescaling
the second term should be -independent. This provides a new and exact scaling relation
Stochastic Burgers and Galilean invariance
Let's discuss for simplicity the 1-dimensional case and perform the following change of variable
You obtain the Brugers equation
Check that the important symmetry of the KPZ equation is nothing but the Galilean symmetry of the Burgers equation.