L-4: Difference between revisions

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\overline{Z[x_t,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]
\overline{Z[x_t,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>
</math></center>
* Step 3:Now  change coordinate <math>X=(x_1+x_2)/2; \; u=x_1-x_2</math> and get:
* Step 3: Now  change coordinate <math>X=(x_1+x_2)/2; \; u=x_1-x_2</math> and get:
<center> <math>
<center> <math>
\overline{Z[x_t,t]^2} = (\overline{Z[x_t,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]}{\int_{u(0)=0}^{u(t)=0} {\cal D} u  \exp\left[-  \int_0^t d \tau  \frac{1}{4T}(\partial_\tau u)^2\right]}
\overline{Z[x_t,t]^2} = (\overline{Z[x_t,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]}{\int_{u(0)=0}^{u(t)=0} {\cal D} u  \exp\left[-  \int_0^t d \tau  \frac{1}{4T}(\partial_\tau u)^2\right]}
</math></center>
</math></center>
Hence, the quantity <math>\overline{Z[x_t,t]^2}/ (\overline{Z[x_t,t]})^2</math> can be computed.  
 
<Strong>Remark 1:<Strong> From T-I, remember that if  
Hence, the quantity <math>\overline{Z[x_t,t]^2}/ (\overline{Z[x_t,t]})^2</math> can be computed. The denominator is <math>int_{u(0)=0}^{u(t)=0} {\cal D} u  \exp\left[-  \int_0^t d \tau  \frac{1}{4T}(\partial_\tau u)^2\right]=1/\sqrt{4 T  t}  </math>. Let us define  the numerator
<center> <math>
W(0,t)\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]
</math></center>
 
<Strong>Remark 1:</Strong> From T-I, remember that if  
<center> <math>
<center> <math>
\frac{\overline{Z[x_t,t]^2}}{ (\overline{Z[x_t,t]})^2}=1
\frac{\overline{Z[x_t,t]^2}}{ (\overline{Z[x_t,t]})^2}=1
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The condition above is sufficient but not necessary. It is enough that <math>
The condition above is sufficient but not necessary. It is enough that <math>
\overline{Z[x_t,t]^2}/ (\overline{Z[x_t,t]})^2 <\text{const.} </math>  when <math>  t\to \infty</math> to have the equivalence between  annealed and quenched averages.
\overline{Z[x_t,t]^2}/ (\overline{Z[x_t,t]})^2 <\text{const.} </math>  when <math>  t\to \infty</math> to have the equivalence between  annealed and quenched averages.
* Remark II: From L-3, we derive using Feynman-Kac, the following equation
 
<Strong>Remark II:</Strong> From L-3, we derive using Feynman-Kac, the following equation
<center> <math>
<center> <math>
\partial_t Z =-  \hat H Z =
\partial_t W(x,t) =-  \hat H W(x,t) =
</math></center>
</math></center>
Now the Hamiltonian reads:
Now the Hamiltonian reads:

Revision as of 16:34, 11 February 2024

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


KPZ : from to the Cayley tree

We know a lot about KPZ, but still we have much to understand:

  • In we found and a glassy regime present at all temperatures. The stationary solution of the KPZ equation describes, at long times, the fluctions of quantities like . However it does not identify the actual distribution of for a given . In particular we have no idea from where Tracy Widom comes from.
  • In , there is an exact solution for the Cayley tree that predicts a freezing transition to an 1RSB phase ().
  • In finite dimension, but larger than 1, there are no exact solutions. Numerical simulations find in . The case is very interesting.

Let's do replica!

To make progress in disordered systems we have to go through the moments of the partition function. For simplicity we consider polymers starting in and ending in . We recall that

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

The first moment

The first moment of the partition function is

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

The second moment

  • Step 1: The second moment is
  • Step 2: Use Wick and derive:
  • Step 3: Now change coordinate and get:

Hence, the quantity can be computed. The denominator is . Let us define the numerator

Remark 1: From T-I, remember that if

the partition function is self-averaging and . The condition above is sufficient but not necessary. It is enough that when to have the equivalence between annealed and quenched averages.

Remark II: From L-3, we derive using Feynman-Kac, the following equation

Now the Hamiltonian reads:

It is a