T-II-3

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Goal of these problems: In this set of problems, we compute the free energy of the spherical p-spin model in the Replica Symmetric (RS) framework, and in the 1-step Replica Symmetry Broken (1-RSB) framework.


Key concepts:


The order parameters: overlaps, and their meaning

In the lectures, we have introduced the Edwards-Anderson order parameter

qEA=1Niσi2

This quantity is a measure of ergodicity breaking: when ergodicity is broken, the system at equilibrium explores only a sub-part of the phase space; the Boltzmann measure clusters into pure states (labelled by α) with Gibbs weight ωα, meaning that one can re-write the thermal averages of any observable A as

A=αωαAα,ωα=ZαZ,Zα=σ state αdσeβE[σ]=eβE[σ]α

In the Ising model at low temperature there are two pure states, α=±1, that correspond to positive and negative magnetization. In a mean-field spin glass, there are more than two pure states. The quantity qEA measures the overlap between configurations belonging to the same pure state, that one expects to be the same for all states:

qEA=qαα=1Niσiασiα.

This non-zero in a spin-glass phase, but it is also different from zero in unfrustrated ferromagnets: in the low-T phase of an Ising model, it equals to m2, where m is the magnetization. One can generalize this and consider also the overlap between configurations in different pure states, and the overlap distribution:

qαβ=1Niσiασiβ,P(q)=α,βωαωβδ(qqαβ).

The disorder average of quantities can be computed within the replica formalism, and one finds:

P(q)=limn02n(n1)a>bδ(qQabSP),qEA=max{QabSP}

where QabSP are the saddle point values of the overlap matrix introduced in Problem 2.2. The solution of the saddle point equations for the overlap matrix Q thus contain the information on whether spin glass order emerges, which corresponds to having a non-trivial distribution P(q). This distribution measures the probability that two copies of the system, equilibrating in the sae disordered environment, end up having overlap q. In the Ising case, a low temperature one has qαα=m2 and qαβ=m2, and thus P(q) has two peaks at ±m2.

Problem 3.1: the RS (Replica Symmetric) calculation

We go back to the saddle point equations for the spherical p-spin model derived in the previous problems. Let us consider the simplest possible ansatz for the structure of the matrix Q, that is the Replica Symmetric (RS) ansatz:

Q=(1q0q0q0q01q0q0q0q0q01)

Under this assumption, there is a unique saddle point variable, that is q0. We denote with q0SP its value at the saddle point.


  1. Under this assumption, what is the overlap distribution P(q) and what is qEA? In which sense the RS ansatz corresponds to assuming the existence of a unique pure state?


  1. Check that the inverse of the overlap matrix is

    Q1=(αββββαβββββα)withα=11q0andβ=1(1q0)[1+(n1)q0]

    Compute the saddle point equation for q0 in the limit n0, and show that this equation admits always the solution q0=0: why is this called the paramagnetic solution?


  1. Compute the free energy corresponding to the solution q0=0, and show that it reproduces the annealed free energy. Do you have an interpretation for this?


Problem 3.2: the 1-RSB (Replica Symmetry Broken) calculation

In the previous problem, we have chosen a certain parametrization of the overlap matrix Q, which corresponds to assuming that typically all the copies of the systems fall into configurations that are at overlap q0 with each others, no matter what is the pair of replicas considered. This assumption is however not the good one at low temperature. We now assume a different parametrisation, that corresponds to breaking the symmetry between replicas: in particular, we assume that typically the n replicas fall into configurations that are organized in n/m groups of size m; pairs of replicas in the same group are more strongly correlated and have overlap q1, while pairs of replicas belonging to different groups have a smaller overlap q0<q1. This corresponds to the following block structure for the overlap matrix:

Q=(1q1q1q0q0q0q11q1q0q0q0q1q11q0q0q0q0q0q01q1q1q0q0q0q11q1q0q0q0q1q11)

Here we have three parameters: m,q0,q1 (in the sketch above, m=3). We denote with mSP,q0SP,q1SP their values at the saddle point.



  1. What is the overlap distribution in this case?


  1. Using that

    logdetQ=nm1mlog(1q1)+nmmlog[m(q1q0)+1q1]+log[nq0+m(q1q0)+1q1]

    show that the free energy now becomes:

    f1RSB=12β[β22(1+(m1)q1pmq0p)+m1mlog(1q1)+1mlog[m(q1q0)+1q1]+q0m(q1q0)+1q1]

    Under which limit this reduces to the replica symmetric expression?


  1. Compute the saddle point equations with respect to the parameter q0,q1 and m are. Check that q0=0 is again a valid solution of these equations, and that for q0=0 the remaining equations reduce to:

    (m1)[β2qpq1p11m11q1+1m11+(m1)q1]=0,β22q1p+1m2log(1q11+(m1)q1)+q1m[1+(m1)q1]=0

    How does one recover the paramagnetic solution?


  1. We now look for a solution different from the paramagnetic one. To begin with, we set m=1 to satisfy the first equation, and look for a solution of

    β22q1p+log(1q1)+q1=0

    Plot this function for p=3 and different values of β, and show that there is a critical temperature Tc where a solution q10 appears: what is the value of this temperature (determined numerically)?