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.
-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 Edwardds-Anderson order parameter 
 
This quantity is a measure of ergodicity breaking: when ergodicity is broken, the Boltzmann measure clusters into pure states  , meaning that one can re-write the sum over all configurations as a sum over states:
, meaning that one can re-write the sum over all configurations as a sum over states:
![{\displaystyle Z=\int d{\vec {\sigma }}e^{-\beta E[{\vec {\sigma }}]}=\sum _{\alpha }Z_{\alpha },\quad \quad \quad Z_{\alpha }=\int _{{\vec {\sigma }}\in {\text{ state }}\alpha }d{\vec {\sigma }}e^{-\beta E[{\vec {\sigma }}]}=\langle e^{-\beta E}\rangle _{\alpha }}](https://wikimedia.org/api/rest_v1/media/math/render/svg/8793c57e659020a2ce4c60f4c4feed44ad6efbee) 
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:
 measures the overlap between configurations belonging to the same pure state:
 
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
, where  is the magnetization. It is the self overlap within a state. Now, overlap between various states.
This quantity can be computed within the replica formalism (try to do it!), and one finds
 is the magnetization. It is the self overlap within a state. Now, overlap between various states.
This quantity can be computed within the replica formalism (try to do it!), 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
 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 encodes a lot of information on the system; in particular, they contain the information on whether spin glass order emerges (meaning that
 thus encodes a lot of information on the system; in particular, they contain the information on whether spin glass order emerges (meaning that  ). More generally, we can write:
). More generally, we can write:
 
where  is the probability that two copies of the system, equilibrating in the same disordered environment, end up having overlap q with each others. A non-trivial distribution
 is the probability that two copies of the system, equilibrating in the same disordered environment, end up having overlap q with each others. A non-trivial distribution  is an indicator of ergodicity breaking in the systems: it indicates that the Boltzmann measure is partitioned into several pure states (like the
 is an indicator of ergodicity breaking in the systems: it indicates that the Boltzmann measure is partitioned into several pure states (like the  and
 and  states in the Ising case, where
 states in the Ising case, where  is the magnetization), and it measures the typical overlaps between configurations belonging to the same, or different states. In Ising,
 is the magnetization), and it measures the typical overlaps between configurations belonging to the same, or different states. In Ising,   .
.
Problem 3.1: the RS (Replica Symmetric) calculation
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  .
.
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Check that the inverse of the overlap matrix is 
![{\displaystyle Q^{-1}={\begin{pmatrix}\alpha &\beta &\beta \cdots &\beta \\\beta &\alpha &\beta \cdots &\beta \\&\cdots &&\\\beta &\beta &\beta \cdots &\alpha \end{pmatrix}}\quad \quad {\text{with}}\quad \alpha ={\frac {1}{1-q_{0}}}\quad {\text{and}}\quad \beta ={\frac {-1}{(1-q_{0})[1+(n-1)q_{0}]}}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/67d59fab7b61d998e38212fc2a162dc44b7d4f96)  
 Compute the saddle point equation for   in the limit in the limit , and show that this equation admits always the solution , and show that this equation admits always the solution : why is this called the paramagnetic solution? : why is this called the paramagnetic solution?
 
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Compute the free energy corresponding to the solution  , and show that it reproduces the annealed free energy. Do you have an interpretation for this? , and show that it reproduces the annealed free energy. Do you have an interpretation for this?
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Overlpa interpretation
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
, 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
 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
 replicas fall into configurations that are organized in  groups of size
 groups of size  ; pairs of replicas in the same group are more strongly correlated and have overlap
; 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
, while pairs of replicas belonging to different groups have a smaller overlap  .  This corresponds to the following block structure for the overlap matrix:
.  This corresponds to the following block structure for the overlap matrix:
 
Here we have three parameters:  (in the formula above,
 (in the formula above,  ).
).
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Using that 
![{\displaystyle \log \det Q=n{\frac {m-1}{m}}\log(1-q_{1})+{\frac {n-m}{m}}\log[m(q_{1}-q_{0})+1-q_{1}]+\log \left[nq_{0}+m(q_{1}-q_{0})+1-q_{1}\right]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/25cd71b0827efea736e18b30f7b126bafbeb4495)  
 show that the free energy now becomes:
 ![{\displaystyle f_{1RSB}=-{\frac {1}{2\beta }}\left[{\frac {\beta ^{2}}{2}}\left(1+(m-1)q_{1}^{p}-mq_{0}^{p}\right)+{\frac {m-1}{m}}\log(1-q_{1})+{\frac {1}{m}}\log[m(q_{1}-q_{0})+1-q_{1}]+{\frac {q_{0}}{m(q_{1}-q_{0})+1-q_{1}}}\right]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/b26b15aacd451417091c093feea33a9553cd71c9)  
 Under which limit this reduces to the replica symmetric expression?
 
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Compute the saddle point equations with respect to the parameter  and and are. Check that are. Check that is again a valid solution of these equations, and that for is again a valid solution of these equations, and that for the remaining equations reduce to: the remaining equations reduce to:![{\displaystyle (m-1)\left[{\frac {\beta ^{2}}{q}}pq_{1}^{p-1}-{\frac {1}{m}}{\frac {1}{1-q_{1}}}+{\frac {1}{m}}{\frac {1}{1+(m-1)q_{1}}}\right]=0,\quad \quad {\frac {\beta ^{2}}{2}}q_{1}^{p}+{\frac {1}{m^{2}}}\log \left({\frac {1-q_{1}}{1+(m-1)q_{1}}}\right)+{\frac {q_{1}}{m[1+(m-1)q_{1}]}}=0}](https://wikimedia.org/api/rest_v1/media/math/render/svg/9563861ff00bf557b10069e91e0f229bd984b8e6)  
 How does one recover the paramagnetic solution?
 
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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 to satisfy the first equation, and look for a solution of  
 Plot this function for  and different values of and different values of , and show that there is a critical temperature , and show that there is a critical temperature where a solution where a solution appears: what is the value of this temperature (determined numerically)? appears: what is the value of this temperature (determined numerically)?