L-2: Difference between revisions

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* Compute <math> \langle \cal{E}_q (t)\rangle  </math> which describes how the noise injects the energy on the different modes. Comment about  equipartition and the dynamical exponent   
* Compute <math> \langle \cal{E}_q (t)\rangle  </math> which describes how the noise injects the energy on the different modes. Comment about  equipartition and the dynamical exponent   
* 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.
* 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.
=Interface growth: KPZ equation=

Revision as of 19:14, 27 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 euqation and the Kardar Parisi Zhang equation.

An interface at Equilibrium: the Edward Wilkinson equation

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.

Interface growth: KPZ equation