Goal of these problems:
In this set of problems, we compute the free energy of the spherical
-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
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
) with Gibbs weight
, meaning that one can re-write the thermal averages
of any observable
as
In the Ising model at low temperature there are two pure states,
, that correspond to positive and negative magnetization. In a mean-field spin glass, there are more than two pure states. The quantity
measures the overlap between configurations belonging to the same pure state, that one expects to be the same for all states:
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
, where
is the magnetization.
One can generalize this and consider also the overlap between configurations in different pure states, and the overlap distribution:
The disorder average of quantities can be computed within the replica formalism, and one finds:
where
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
thus contain the information on whether spin glass order emerges, which corresponds to having a
non-trivial distribution
. This distribution measures the probability that two copies of the system, equilibrating in the sae disordered environment, end up having overlap
. In the Ising case, a low temperature one has
and
, and thus
has two peaks at
.
Problem 3.1: the RS (Replica Symmetric) calculation
We go back to the saddle point equations for the spherical
-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:
Under this assumption, there is a unique saddle point variable, that is
. We denote with
its value at the saddle point.
-
Under this assumption, what is the overlap distribution
and what is
? In which sense the RS ansatz corresponds to assuming the existence of a unique pure state?
-
Check that the inverse of the overlap matrix is
Compute the saddle point equation for
in the limit
, and show that this equation admits always the solution
: why is this called the paramagnetic solution?
-
Compute the free energy corresponding to the solution
, 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
, which corresponds to assuming that typically all the copies of the systems fall into configurations that are at overlap
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
replicas fall into configurations that are organized in
groups of size
; pairs of replicas in the same group are more strongly correlated and have overlap
, while pairs of replicas belonging to different groups have a smaller overlap
. This corresponds to the following block structure for the overlap matrix:
Here we have three parameters:
(in the sketch above,
). We denote with
their values at the saddle point.
-
What is the overlap distribution in this case?
-
Using that
show that the free energy now becomes:
Under which limit this reduces to the replica symmetric expression?
-
Compute the saddle point equations with respect to the parameter
and
are. Check that
is again a valid solution of these equations, and that for
the remaining equations reduce to:
How does one recover the paramagnetic solution?
-
We now look for a solution different from the paramagnetic one. To begin with, we set
to satisfy the first equation, and look for a solution of
Plot this function for
and different values of
, and show that there is a critical temperature
where a solution
appears: what is the value of this temperature (determined numerically)?