L-2: Difference between revisions
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<strong>Goal: </strong> 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. | |||
= | =Edwards Wilkinson: an interface at equilibrium: = | ||
Consider domain wall <math> h(r,t)</math> fluctuating at equilibrium at the temparature <math> T</math>. Here <math> t</math> is time, <math> r </math> defines the d-dimensional coordinate of the interface and <math> h</math> is the scalar height field. Hence, the domain wall separating two phases in a film has <math> d=1, r \in \cal{R}</math>, in a solid instead <math> d=2, r \in \cal{R}^2</math>. | Consider domain wall <math> h(r,t)</math> fluctuating at equilibrium at the temparature <math> T</math>. Here <math> t</math> is time, <math> r </math> defines the d-dimensional coordinate of the interface and <math> h</math> is the scalar height field. Hence, the domain wall separating two phases in a film has <math> d=1, r \in \cal{R}</math>, in a solid instead <math> d=2, r \in \cal{R}^2</math>. | ||
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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 | 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> | <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 D \delta^d(r-r') \delta(t-t') | ||
</math></center> | </math></center> | ||
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. | ||
Line 25: | Line 24: | ||
D= \mu K_B T | D= \mu K_B T | ||
</math></center> | </math></center> | ||
We set <math> \mu= K_B=1</math> | |||
The potential energy of surface tension can be expanded at the lowest order in the gradient: | The potential energy of surface tension can be expanded at the lowest order in the gradient: | ||
<center> <math> | <center> <math> | ||
E_{pot} = \ | E_{pot} = \nu \int d^d r\sqrt{1 +(\nabla h)^2} \sim \text{const.} + \frac{\nu}{2} \int d^d r (\nabla h)^2 | ||
</math></center> | </math></center> | ||
Hence, we have the Edwards Wilkinson equation: | |||
<center> <math> | <center> <math> | ||
\partial_t h(r,t)= \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=== | === 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 | 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> | <center> <math> | ||
h(b r, b^z t) \overset{in law}{\sim} b^{\alpha} h(r,t) | h(b r, b^z t) \overset{in law}{\sim} b^{\alpha} h(r,t) | ||
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Here <math> | Here <math> | ||
z, \alpha | z, \alpha | ||
</math> are the dynamic and the roughness exponent | </math> are the dynamic and the roughness exponent respectively. From dimensional analysis | ||
<center> <math> | <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) | 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> | </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> | 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>. | ||
=== 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: | |||
<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 initialy 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. | |||
= 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== | |||
[[File:KPZ.png|thumb|left|x360px|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 <math> v</math> the velocity of the interface. Consider a point of the interface <math> h(r,t)</math>, its tangent is <math>\partial_r h(r,t)=-\tan(\theta)</math>. To evaluate the increment <math>\delta h(r,t)</math> use the Pitagora theorem: | |||
<center> <math> | |||
\delta h(r,t)= \sqrt{(v dt)^2 + (v dt \tan(\theta))^2 } \sim v dt + \frac{v dt}{2} (\tan(\theta))^2 \sim v dt + \frac{v dt}{2} (\partial_r h(r,t))^2 | |||
</math></center> | |||
Hence, in generic dimension, the KPZ equation is | |||
<center> <math> | |||
\partial_t h(r,t)= \nu \nabla^2 h(r,t)+ \frac{\lambda}{2} (\nabla h)^2 + \eta(r,t) | |||
</math></center> | |||
==Scaling Invariance== | |||
The symmetry <math> h </math> and <math> h +c </math> still holds so that scale invariance is still expected. | |||
However the non-linearity originate an anomalous dimension and <math> z,\alpha </math> cannot be determined by simple dimensional analysis. | |||
<!-- Moreover, the previous scaling relation does not holds because the non-linear term is non-conservative: | |||
<center> <math> | |||
\int d r (\nabla h)^2 >0 \quad \text{so that} \int d r \partial_t h(r,t) \ne \int d r \eta(r,t) | |||
</math></center> | |||
Note that <math> E_{pot} (t)= \sum_q {\cal E}_q (t) = \frac{L \sigma}{2} \sum_q q^2 h_q(t)h_{-q}(t) </math> | |||
* 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 | |||
--> | |||
===An important symmetry=== | |||
Let us remark that if <math> h(r,t) </math> is a solution of KPZ,also <math> \tilde h(r,t)= h(r + \lambda v_0 t,t) +v_0 r +(v_0^2 \lambda /2) t </math> is a solution of KPZ, provided the change of variables <math>\tilde r =r+\lambda v_0 t</math> . | |||
You can check it, and you will obtain an equation with the statistically equivalent noise <math> \eta(\tilde{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 | |||
* 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> | |||
<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> | |||
the second term should be <math> b </math>-independent. This provides a new and exact scaling relation | |||
<center> | |||
<math> | |||
z+\alpha=2 | |||
</math> | |||
</center> | |||
<!-- ==== Stochastic Burgers and Galilean invariance ==== | |||
Let's discuss for simplicity the 1-dimensional case and perform the following change of variable | |||
<center> | |||
<math> | |||
\vec v(r,t) = -\lambda \partial_r h(r,t) | |||
</math> | |||
</center> | |||
You obtain the Brugers equation | |||
<center> | |||
<math> | |||
\partial_t v(r,t) + v \partial_r v = | |||
</math> | |||
</center> | |||
Check that the important symmetry of the KPZ equation is nothing but the Galilean symmetry of the Burgers equation. | |||
--> | |||
===The d=1 case=== | |||
In the one dimensional case the KPZ equation writes | |||
Hence, in generic dimension, the KPZ equation is | |||
<center> <math> | |||
\partial_t h(r,t)= \nu \partial_r^2 h(r,t)+ \frac{\lambda}{2} (\partial_r h)^2 + \eta(r,t) | |||
</math></center> | |||
The corresponding Fokker Planck equation for the probability <math>{\cal P}[h,t] </math> can be written as | |||
<center> <math> | |||
\partial_t {\cal P}= - \int d r \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 d r \frac{\delta^2 {\cal P}}{\delta h_r^2} | |||
</math></center> | |||
The probability | |||
<center> <math> | |||
{\cal P}_{st} [h] \propto \exp\left\{- \frac{1}{T}\int d r \; \frac{\nu}{2} (\partial_r h)^2 \right\} | |||
</math></center> | |||
is a stationary solution (namely <math> \partial_t{\cal P}_{st} [h]=0</math> )for EW as you can check | |||
<center> <math> | |||
T \frac{\delta {\cal P}_{st} }{\delta h_r} - \nu \partial_r^2 h {\cal P}_{st} =0 | |||
</math></center> | |||
It is also a solution (only for <math> d=1</math>) | |||
<center> <math> | |||
\int d r \frac{\delta}{\delta h_r} \left[\frac{\lambda}{2} (\partial_r h)^2 {\cal P}_{st} \right] =0 | |||
</math></center> | |||
even if the last equality has some issues of disretization. As a conclusion in <math> d=1</math> we have <math> \alpha=1/2</math> as for EW, but <math> z=3/2</math>. |
Latest revision as of 16:05, 26 January 2025
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.
Edwards 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):
We set
The potential energy of surface tension 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 cannot be distinguished. This is a condition of scale invariance:
Here are the dynamic and the roughness exponent respectively. From dimensional analysis
From which you get in any dimension and a rough interface below 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 .
- Show that the EW equation writes
The solution of this first order linear equation writes
Assume that the interface is initialy flat, namely .
- 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 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.
An important symmetry
Let us remark that if is a solution of KPZ,also 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 . 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
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 can be written as
The probability
is a stationary solution (namely )for EW as you can check
It is also a solution (only for )
even if the last equality has some issues of disretization. As a conclusion in we have as for EW, but .