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<Strong> Goal 1</Strong>: final lecture on KPZ and directed polymers at finite dimension. We will show that for <math>d>2</math> a "glass transition" takes place.
<Strong> Goal </Strong>: final lecture on KPZ and directed polymers at finite dimension. We will show that for <math>d>2</math> a "glass transition" takes place.


<Strong> Goal 2</Strong>: We will mention some ideas related to glass transition in true glasses.


= KPZ : from 1d to the Cayley tree=


=Part 1: KPZ in finite dimension=
We know a lot about KPZ, but there is still much to understand:  
* In  <math>d=1</math> we found <math>\theta=1/3</math> and a glassy regime present at all temperatures. Moreover, the stationary solution tell us that <math>E_{\min}[x]</math> is a Brownian motion in <math>x</math>. However this solution does not identify the actual distribution of <math> E_{\min}</math> for a given <math>x</math>. In particular we have no idea from where Tracy Widom comes from.


* In <math>d>1</math> the exponents are not known. There is an exact solution for the Caley tree (infinite dimension) that predicts a freezing transition to an 1RSB phase (<math>\theta=0</math>).
* In <math>d=1</math>, we have found <math>\theta=1/3</math> and a glassy regime present at all temperatures. The stationary solution of the KPZ equation describes, at long times, the fluctuations of quantities such as <math>E_{\min}[x] - E_{\min}[x']</math>. However, it does not determine the actual distribution of <math>E_{\min}</math> for a given <math>x</math>. In particular, we have no clear understanding of the origin of the Tracy-Widom distribution. 
 
* In <math>d=\infty</math>, an exact solution exists for the Cayley tree, predicting a freezing transition to a 1RSB phase (<math>\theta=0</math>).
 
* In finite dimensions greater than one, no exact solutions are available. Numerical simulations indicate <math>\theta > 0</math> in <math>d=2</math>. The case <math>d > 2</math> remains particularly intriguing. 


==Let's do replica!==
==Let's do replica!==
To make progress in disordered systems we have to go through the moments of the  partition function. We recall that  
To make progress in disordered systems, we need to analyze the moments of the partition function.  From Valentina's lecture, recall that if 
* <math>V(x,\tau)</math> is a Gaussian field with
 
<center>  
<math> 
\frac{\overline{Z(x,t)^2}}{ (\overline{Z(x,t)})^2}=1 
</math> 
</center> 
 
then the partition function is self-averaging, and 
 
<center> 
<math> 
\overline{\ln Z(x,t)} =\ln\overline{Z(x,t)} 
</math>. 
</center> 
 
The condition above is sufficient but not necessary. It is enough that 
 
<center> 
<math> 
\frac{\overline{Z(x,t)^2}}{ (\overline{Z(x,t)})^2} < \text{const} 
</math>, 
</center> 
 
when <math>t \to \infty</math>, to ensure the equivalence between annealed and quenched averages. 
 
In the following, we compute this quantity, which corresponds to a two-replica calculation.  For simplicity, we consider polymers starting at <math>0</math> and ending at <math>x</math>. We recall that
 
* <math>V(x,\tau)</math> is a Gaussian field with
<center> <math>
<center> <math>
\overline{V(x,\tau)}=0, \quad  \overline{V(x,\tau) V(x',\tau')} = D \delta(x-x') \delta(\tau-\tau')  
\overline{V(x,\tau)}=0, \quad  \overline{V(x,\tau) V(x',\tau')} = D \delta^d(x-x') \delta(\tau-\tau')  
</math></center>
</math></center>
* From the Wick theorem, for a generic Gaussian <math> W </math> field we have
 
* From Wick's theorem, for a generic Gaussian field <math> W </math>, we have
<center><math>
<center><math>
\overline{\exp(W)} = \exp\left[\overline{W} +\frac{1}{2} (\overline{W^2}-\overline{W}^2)\right] </math></center>
\overline{\exp(W)} = \exp\left[\overline{W} +\frac{1}{2} \left(\overline{W^2}-\overline{W}^2\right)\right] 
</math></center> 
 
===The first moment===
The first moment of the partition function is straightforward to compute and corresponds to a single replica: 
 
<center> 
<math> 
\overline{Z(x,t) } =\int_{x(0)=0}^{x(t)=x} {\cal D} x(\tau) \exp\left[- \frac{1}{T} \int_0^t d \tau \frac{1}{2}(\partial_\tau x)^2\right]  \overline{\exp\left[- \frac{1}{T} \int d \tau V(x(\tau),\tau ) \right]} 
</math> 
</center> 
 
Note that the term <math> T^2 \overline{W^2} = \int d \tau_1 d\tau_2 \overline{V(x,\tau_1)V(x,\tau_2)}= D t \delta_0</math> exhibits a short-distance divergence due to the delta function. Hence, we can write: 
 
<center> 
<math> 
\overline{Z(x,t) } = \frac{1}{(2 \pi t T)^{d/2}}\exp\left[ -\frac{1}{2} \frac{ x^2}{t T} \right]  \exp\left[ \frac{D  t \delta_0}{2T^2}  \right]  = Z_{\text{free}}(x,t,T) \exp\left[ \frac{D  t \delta_0}{2T^2} \right]
</math>
</center>
 
=== The second moment === 
 
For the second moment, there are two replicas: 
 
* Step 1: The second moment is 
 
<center> 
<math> 
\overline{Z(x,t)^2 } =\int {\cal D} x_1\int  {\cal D} x_2 \exp\left[-  \int_0^t d \tau  \frac{1}{2T}[(\partial_\tau x_1)^2+ (\partial_\tau x_2)^2] \right]  \overline{\exp\left[- \frac{1}{T} \int_0^t d \tau_1 V(x_1(\tau_1),\tau_1 ) - \frac{1}{T} \int_0^t d \tau_2 V(x_2(\tau_2),\tau_2 )\right]} 
</math> 
</center> 
 
* Step 2: Using Wick's theorem, we obtain
 
<center> 
<math> 
\overline{Z(x,t)^2 } = \exp\left[ \frac{D  t \delta_0}{T^2}  \right]\int {\cal D} x_1\int  {\cal D} x_2 \exp\left[-  \int_0^t d \tau  \frac{1}{2T}[(\partial_\tau x_1)^2+ (\partial_\tau x_2)^2 - \frac{D}{T^2} \delta^d[x_1(\tau)-x_2(\tau)]\right] 
</math> 
</center> 
and we can write:
<center> 
<math> 
\overline{Z(x,t)^2 } = (\frac{\overline{Z(x,t)}}{Z_{\text{free}}(x,t,T)})^2 \int {\cal D} x_1\int  {\cal D} x_2 \exp\left[-  \int_0^t d \tau  \frac{1}{2T}[(\partial_\tau x_1)^2+ (\partial_\tau x_2)^2 - \frac{D}{T^2} \delta^d[x_1(\tau)-x_2(\tau)]\right] 
</math> 
</center>
* Step 3: Changing coordinates <math>X=(x_1+x_2)/2; \; u=x_1-x_2</math>, we get 
 
<center> 
<math> 
\overline{Z(x,t)^2} = (\overline{Z(x,t)})^2 \frac{\int_{u(0)=0}^{u(t)=0} {\cal D} u  \exp\left[-  \int_0^t d \tau  \frac{1}{4T}(\partial_\tau u)^2- \frac{D}{T^2} \delta^d[u(\tau)]\right]}{ Z_{\text{free}}(u=0,t, 2T)} 
</math> 
</center>
where we used <math> Z_{\text{free}}^2(x,t,T)=Z_{\text{free}}(X=x,t,T/2)Z_{\text{free}}(u=0,t,2T) </math> with <math>Z_{\text{free}}(u=0,t,2T) = (4 \pi T t)^{d/2} </math>


The first moment of the partition function is
===The two replica propagator===
<center> <math>
 
\overline{Z_t[x_1] } =\int {\cal D} x_1 \exp\left[- \frac{1}{T} \int_0^t d \tau \frac{1}2(\partial_\tau x)^2\right]  \overline{\exp\left[- \frac{1}{T} \int d \tau V(x,\tau ) \right]}
Let us define the propagator: 
</math></center>
<center> <math>
Note that the term <math> T^2 \overline{W^2} = \int d \tau_1 d\tau_2 \overline{V(x,\tau_1)V(x,\tau_2)}= D t \delta(0)</math> has a short distance divergence due to the delta-function. Hence we can write:
  W(0,t)= \int_{u(0)=0}^{u(t)=0} {\cal D} \exp\left[- \int_0^t d \tau \frac{1}{4T}(\partial_\tau u)^2- \frac{D}{T^2} \delta^d[u(\tau)]\right]
<center> <math>
  </math>
\overline{Z_t[x_1] } = \frac{1}{\sqrt{2 \pi t T}}\exp\left[ -\frac{x^2}{2t T} \right]  \exp\left[ \frac{D t \delta(0)}{2T^2} \right]
</center>
</math></center>
Using the Feynman-Kac formula, we can write the following equation: 
<center> 
<math>
\partial_t W(x,t) = - \hat H W(x,t)
</math>
</center> 
 
Here, the Hamiltonian is given by:  
<center>
<math>
\hat H = - T \nabla^2 - \frac{D}{T^2} \delta^d[u]
</math>
</center>
 
=== The Spectrum of the Two-Replica Hamiltonian ===
 
The single-particle potential is '''time-independent and attractive'''. Since it is time-independent, we can use the spectral decomposition of the propagator. The long-time behavior is controlled by the low-energy part of the spectrum. In the presence of an attractive potential, we may have: 
 
* A discrete set of eigenvalues corresponding to bound states, followed by a continuous spectrum. 
* Only a continuous spectrum. 


== Exercise L4-A: the second moment ==
Show:


<center> <math>
As a funcion of the dimension we distiguish two cases:
\overline{Z_t[x_1] Z_t[x_2]} = \exp\left[ \frac{D t \delta(0)}{T^2}  \right]\int {\cal D} x_1\int {\cal D} x_2 \exp\left[- \int_0^t d \tau \frac{1}{2T}[(\partial_\tau x_1)^2+ (\partial_\tau x_2)^2 ]+ \frac{1}{T^2} \delta[x_1(\tau)-x_2(\tau)]\right]
* For <math>d \leq 2</math>: 
</math></center>
An attractive potential always leads to the formation of a bound state.The ground state has a negative energy <math>E_0 < 0</math>. At long times, the propagator behaves as: 
<center>
<math>
W(x,t) \sim e^{ |E_0| t}   
</math> 
</center> 
This implies that at all temperatures, in the limit <math>t \to \infty</math>:  
<center>  
<math>  
\overline{\ln Z(x,t)\ll \ln\overline{Z(x,t)
</math>
</center>


=Part 2: Structural glasses=
* For <math>d > 2</math>: 
The low-energy part of the spectrum is controlled by the prefactor <math>\frac{D}{T^2}</math>.  At high temperatures, the spectrum remains continuous and positive.  At low temperatures, bound states appear.  Thus, in the limit <math>t \to \infty</math>:
<center> 
<math> 
\begin{cases} 
\overline{\ln Z(x,t)} = \ln\overline{Z(x,t)} \quad \text{for} \quad T > T_c \\ 
\\ 
\overline{\ln Z(x,t)} \ll \ln\overline{Z(x,t)} \quad \text{for} \quad T < T_c 
\end{cases} 
</math> 
</center> 
This transition, in <math>d = 3</math>, separates a high-temperature phase with <math>\theta = 0</math> and a low-temperature phase with <math>\theta > 0</math> and '''no RSB'''.

Latest revision as of 21:25, 2 February 2025

Goal : final lecture on KPZ and directed polymers at finite dimension. We will show that for a "glass transition" takes place.


KPZ : from 1d to the Cayley tree

We know a lot about KPZ, but there is still much to understand:

  • In , we have found and a glassy regime present at all temperatures. The stationary solution of the KPZ equation describes, at long times, the fluctuations of quantities such as . However, it does not determine the actual distribution of for a given . In particular, we have no clear understanding of the origin of the Tracy-Widom distribution.
  • In , an exact solution exists for the Cayley tree, predicting a freezing transition to a 1RSB phase ().
  • In finite dimensions greater than one, no exact solutions are available. Numerical simulations indicate in . The case remains particularly intriguing.

Let's do replica!

To make progress in disordered systems, we need to analyze the moments of the partition function. From Valentina's lecture, recall that if

then the partition function is self-averaging, and

.

The condition above is sufficient but not necessary. It is enough that

,

when , to ensure the equivalence between annealed and quenched averages.

In the following, we compute this quantity, which corresponds to a two-replica calculation. For simplicity, we consider polymers starting at and ending at . We recall that:

  • is a Gaussian field with
  • From Wick's theorem, for a generic Gaussian field , we have

The first moment

The first moment of the partition function is straightforward to compute and corresponds to a single replica:

Note that the term exhibits a short-distance divergence due to the delta function. Hence, we can write:

The second moment

For the second moment, there are two replicas:

  • Step 1: The second moment is

  • Step 2: Using Wick's theorem, we obtain

and we can write:

  • Step 3: Changing coordinates , we get

where we used with

The two replica propagator

Let us define the propagator:

Using the Feynman-Kac formula, we can write the following equation:

Here, the Hamiltonian is given by:

The Spectrum of the Two-Replica Hamiltonian

The single-particle potential is time-independent and attractive. Since it is time-independent, we can use the spectral decomposition of the propagator. The long-time behavior is controlled by the low-energy part of the spectrum. In the presence of an attractive potential, we may have:

  • A discrete set of eigenvalues corresponding to bound states, followed by a continuous spectrum.
  • Only a continuous spectrum.


As a funcion of the dimension we distiguish two cases:

  • For :

An attractive potential always leads to the formation of a bound state.The ground state has a negative energy . At long times, the propagator behaves as:

This implies that at all temperatures, in the limit :

  • For :

The low-energy part of the spectrum is controlled by the prefactor . At high temperatures, the spectrum remains continuous and positive. At low temperatures, bound states appear. Thus, in the limit :

This transition, in , separates a high-temperature phase with and a low-temperature phase with and no RSB.