L-4: Difference between revisions

From Disordered Systems Wiki
Jump to navigation Jump to search
Line 21: Line 21:
<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} (\overline{W^2}-\overline{W}^2)\right] </math></center>
 
===The first moment===
The first moment of the partition function is
The first moment of the partition function is
<center> <math>
<center> <math>
\overline{Z_t[x_t,t] } =\int_{x(0)=0}^{x(t)=x} {\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]}
\overline{Z_t[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>
</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> has a short distance divergence due to the delta-function.  Hence we can write:
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:
<center> <math>
<center> <math>
\overline{Z_t[x] } = \frac{1}{(2 \pi t T)^{d/2}}\exp\left[ -\frac{d}{2} \frac{ x^2}{t T} \right]  \exp\left[ \frac{D  t \delta_0}{2T^2}  \right]
\overline{Z_t[x] } = \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]
</math></center>
</math></center>



Revision as of 15:47, 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 0 and ending in x. 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

The first moment of the partition function is

Zt[x,t]=x(0)=0x(t)=x𝒟x(τ)exp[1T0tdτ12(τx)2]exp[1TdτV(x(τ),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[x]=1(2πtT)d/2exp[12x2tT]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