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>1</math> the exponents are not known. There is an exact solution for the Cayley tree (infinite dimension) that predicts a freezing transition to an 1RSB phase (<math>\theta=0</math>).
* 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>
* Step 2: Hence, the quantity <math>
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
  from the spectrum of the following Hamiltonian
</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 d>2 a "glass transition" takes place.


KPZ : from d=1 to the Cayley tree

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

  • In d=1 we found θ=1/3 and a glassy regime present at all temperatures. The stationary solution of the KPZ equation describes, at long times, the fluctions of quantities like Emin[x]Emin[x]. However it does not identify the actual distribution of Emin for a given x. In particular we have no idea from where Tracy Widom comes from.
  • In d=, there is an exact solution for the Cayley tree that predicts a freezing transition to an 1RSB phase (θ=0).
  • In finite dimension, but larger than 1, there are no exact solutions. Numerical simulations find θ>0 in d=2. The case d>2 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 x0=0 and ending in xt. We recall that

  • V(x,τ) is a Gaussian field with
V(x,τ)=0,V(x,τ)V(x,τ)=Dδd(xx)δ(ττ)
  • From the Wick theorem, for a generic Gaussian W field we have
exp(W)=exp[W+12(W2W2)]

The first moment of the partition function is

Zt[xt,t]=x(0)=0x(t)=xt𝒟x1exp[1T0tdτ12(τx)2]exp[1TdτV(x,τ)]

Note that the term T2W2=dτ1dτ2V(x,τ1)V(x,τ2)=Dtδ0 has a short distance divergence due to the delta-function. Hence we can write:

Zt[x1]=1(2πtT)d/2exp[d2xt2tT]exp[Dtδ02T2]

The second moment

  • Step 1:
Z[xt,t]2=exp[Dtδ0T2]𝒟x1𝒟x2exp[0tdτ12T[(τx1)2+(τx2)2DT2δd[x1(τ)x2(τ)]]

Now you can change coordinate X=(x1+x2)/2;u=x1x2 and get:

Z[xt,t]2=(Z[xt,t])2u(0)=0u(t)=0𝒟uexp[0tdτ14T(τu)2DT2δd[u(τ)]]u(0)=0u(t)=0𝒟uexp[0tdτ14T(τu)2]

Hence, the quantity Z[xt,t]2/(Z[xt,t])2 can be computed.

  • Remark 1: From T-I, remember that if
Z[xt,t]2(Z[xt,t])2=1

the partition function is self-averaging and lnZ[x,t]=lnZ[xt,t]. The condition above is sufficient but not necessary. It is enough that Z[xt,t]2/(Z[xt,t])2<const. when t to have the equivalence between annealed and quenched averages.

  • Remark II: From L-3, we derive using Feynman-Kac, the following equation
tZ=H^Z=

Now the Hamiltonian reads:

H=2T2DT2δd[u]

It is a