L-4: Difference between revisions
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* In <math>d=1</math> we 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 fluctions of quantities like <math>E_{\min}[x] - E_{\min}[x']</math>. However it 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> we 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 fluctions of quantities like <math>E_{\min}[x] - E_{\min}[x']</math>. However it 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 | * In <math>d=\infty</math>, there is an exact solution for the Cayley tree that predicts a freezing transition to an 1RSB phase (<math>\theta=0</math>). | ||
* In finite dimension, but larger than 1, there are no exact solutions. Numerical simulations find <math>\theta >0</math> in <math>d=2</math>. The case <math>d>2</math> is very interesting. | |||
==Let's do replica!== | ==Let's do replica!== | ||
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\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. | |||
\overline{Z[x_t,t]^2}/ (\overline{Z[x_t,t]})^2</math> can be computed. | * Remark 1: From T-I, remember that if | ||
<center> <math> | |||
\frac{\overline{Z[x_t,t]^2}}{ (\overline{Z[x_t,t]})^2}=1 | |||
</math></center> | |||
the partition function is self-averaging and <math> \overline{\ln Z[x,t]} =\ln\overline{Z[x_t,t]} | |||
</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. | |||
* Remark II: From L-3, we derive using Feynman-Kac, the following equation | |||
<center> <math> | |||
\partial_t Z =- \hat H Z = | |||
</math></center> | |||
Now the Hamiltonian reads: | |||
<center> <math> | <center> <math> | ||
H= -2 T \nabla^2 - \frac{D}{T^2} \delta^d[u] | H= -2 T \nabla^2 - \frac{D}{T^2} \delta^d[u] | ||
</math></center> | </math></center> | ||
It is a |
Revision as of 15:44, 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 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:
Now you can change coordinate and get:
Hence, the quantity can be computed.
- 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