L-4: Difference between revisions

From Disordered Systems Wiki
Jump to navigation Jump to search
Line 31: Line 31:
</math></center>
</math></center>


== The second moment ==
=== The second moment ===
 
==== Exercise: L-4====
* Step 1: The second moment is
* Step 1: The second moment is
<center> <math>
<center> <math>
Line 47: Line 49:
</math></center>
</math></center>


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  
====Discussion====
Hence, the quantity <math>\overline{Z[x_t,t]^2}/ (\overline{Z[x_t,t]})^2</math> can be computed.  
* The denominator <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] </math> is the free propagator and gives a contribution <math> \sim =\sqrt{4 T  t}.
* Let us define  the numerator  
<center> <math>
<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]
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>
</math></center>


Line 59: Line 64:
</math>.
</math>.
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.


<Strong>Remark II:</Strong> 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 W(x,t) =-  \hat H W(x,t) =
\partial_t W(x,t) =-  \hat H W(x,t)  
</math></center>
</math></center>
Now the Hamiltonian reads:
Now the Hamiltonian reads:
Line 69: Line 74:
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
 
Now the Hamiltonian is time independent:
<center> <math>
W(x,t) = \langle x|\exp\left( - \hat H t\rangle) |0\rangle
</math></center>
At large times the behaviour is dominatate by the low energy part of the spectrum

Revision as of 14:43, 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(x−x′)δ(τ−τ′)
  • From the Wick theorem, for a generic Gaussian W field we have
exp⁡(W)‾=exp⁡[W‾+12(W2‾−W‾2)]

The first moment

The first moment of the partition function is

Zt[x,t]‾=∫x(0)=0x(t)=x𝒟x(τ)exp⁡[−1T∫0tdτ12(∂τx)2]exp⁡[−1T∫dτV(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

Exercise: L-4

  • Step 1: The second moment is
Z[xt,t]2‾=∫𝒟x1∫𝒟x2exp⁡[−∫0tdτ12T[(∂τx1)2+(∂τx2)2]exp⁡[−1T∫0tdτ1V(x1(τ1),τ1)−1T∫0tdτ2V(x2(τ2),τ2)]‾
  • Step 2: Use Wick and derive:
Z[xt,t]2‾=exp⁡[Dtδ0T2]∫𝒟x1∫𝒟x2exp⁡[−∫0tdτ12T[(∂τx1)2+(∂τx2)2−DT2δd[x1(τ)−x2(τ)]]
  • Step 3: Now change coordinate X=(x1+x2)/2;u=x1−x2 and get:
Z[xt,t]2‾=(Z[xt,t]‾)2∫u(0)=0u(t)=0𝒟uexp⁡[−∫0tdτ14T(∂τu)2−DT2δd[u(τ)]]∫u(0)=0u(t)=0𝒟uexp⁡[−∫0tdτ14T(∂τu)2]

Discussion

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

  • The denominator ∫u(0)=0u(t)=0𝒟uexp⁡[−∫0tdτ14T(∂τu)2] is the free propagator and gives a contribution ∼=4Tt.*Letusdefinethenumerator<center><math>W(0,t)=∫u(0)=0u(t)=0𝒟uexp⁡[−∫0tdτ14T(∂τu)2−DT2δd[u(τ)]]

Remark 1: From T-I, remember that if

Z[xt,t]2‾(Z[xt,t]‾)2=1

the partition function is self-averaging and ln⁡Z[x,t]‾=ln⁡Z[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

∂tW(x,t)=−H^W(x,t)

Now the Hamiltonian reads:

H=−2T∇2−DT2δd[u]

Now the Hamiltonian is time independent:

Failed to parse (syntax error): {\displaystyle W(x,t) = \langle x|\exp\left( - \hat H t\rangle) |0\rangle }

At large times the behaviour is dominatate by the low energy part of the spectrum