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| author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2020-12-10 13:52:14 +0100 | 
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| committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2020-12-10 13:52:14 +0100 | 
| commit | 3400a6a591e6e3207a9d8964ad02f7578c1db0d8 (patch) | |
| tree | 781b4371c899d42ace9e2471db7d2c5bc9ddea3f | |
| parent | 99362760d50c95435d98c2eb3e25af4b20455caf (diff) | |
| parent | f0b6d4176a765bf4d4ccf78ecac6011b70986a28 (diff) | |
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Merge branch 'master' of https://git.overleaf.com/5fcce4736e7f601ffb7e1484
| -rw-r--r-- | bezout.tex | 27 | 
1 files changed, 15 insertions, 12 deletions
| @@ -53,10 +53,9 @@ defined by the energy:  where the $J_{i_1\cdots i_p}$ are real Gaussian variables and the $z_i$ are  real and constrained to a sphere $\sum_i z_i^2=N$. If there is a single  term  of a given $p$, this is known as the `pure $p$-spin' model, the case we shall -study here.  Also in the algebra \cite{Cartwright_2013_The} and probability +study here.  This problem has been studied also  in the algebra \cite{Cartwright_2013_The} and probability  literature \cite{Auffinger_2012_Random, Auffinger_2013_Complexity}. - -This problem has been attacked from several angles: the replica trick to +It  has been attacked from several angles: the replica trick to  compute the Boltzmann--Gibbs distribution \cite{Crisanti_1992_The}, a Kac--Rice  \cite{Kac_1943_On, Rice_1939_The, Fyodorov_2004_Complexity} procedure (similar  to the Fadeev--Popov integral)  to compute the number of saddle-points of the @@ -66,13 +65,13 @@ high-energy configuration \cite{Cugliandolo_1993_Analytical}.  Thanks to the  relative simplicity of the energy, all these approaches are possible  analytically in the large $N$ limit. -In this paper we shall extend the study to the case  where $z\in\mathbb C^N$ -are  and $J$ is a symmetric tensor whose elements are complex normal with +In this paper we shall extend the study to the case  where the variables are complex +$z\in\mathbb C^N$ and $J$ is a symmetric tensor whose elements are complex normal with  $\overline{|J|^2}=p!/2N^{p-1}$ and $\overline{J^2}=\kappa\overline{|J|^2}$ for  complex parameter $|\kappa|<1$. The constraint becomes $z^2=N$.  The motivations for this paper are of two types. On the practical side, there -are situations in which  complex variables have in a disorder problem appear +are indeed situations in which  complex variables  in a disorder problem appear  naturally: such is the case in which they are {\em phases}, as in random laser  problems \cite{Antenucci_2015_Complex}. Another problem where a Hamiltonian  very close to ours has been proposed is the Quiver Hamiltonians @@ -85,9 +84,9 @@ underlying simplicity that is hidden in the purely real case. Consider, for  example, the procedure of starting from a simple, known Hamiltonian $H_{00}$  and studying $\lambda H_{00} + (1-\lambda H_{0} )$, evolving adiabatically from  $\lambda=0$ to $\lambda=1$, as is familiar from quantum annealing. The $H_{00}$ -is a polynomial of degree $p$  chosen to have simple, known roots. Because we -are working in complex variables, and the roots are simple all the way (we -shall confirm this), we may follow a root from $\lambda=0$ to $\lambda=1$. With +is a polynomial of degree $p$  chosen to have simple, known saddles. Because we +are working in complex variables, and the saddles are simple all the way (we +shall confirm this), we may follow a single one from $\lambda=0$ to $\lambda=1$, while  with  real variables minima of functions appear and disappear, and this procedure is  not possible. The same idea may be implemented by performing diffusion in the  $J$'s, and following the roots, in complete analogy with Dyson's stochastic @@ -97,12 +96,11 @@ This study also provides a complement to the work on the distribution of zeroes  of random polynomials \cite{Bogomolny_1992_Distribution}. -Let us go back to our model.  For the  constraint we  choose here $z^2=N$, +  For our model the  constraint we  choose  $z^2=N$,  rather than $|z|^2=N$, in order to preserve the holomorphic nature of the  functions. In addition, the  nonholomorphic spherical constraint has a  disturbing lack of critical points nearly everywhere, since $0=\partial^* -H=-p\epsilon z$ is only satisfied for $\epsilon=0$, as $z=0$ is forbidden by -the constraint.  It is enforced using the method of Lagrange multipliers: +H=-p\epsilon z$ is only satisfied for $\epsilon=0$, as $z=0$ is forbidden by the constraint.  It is enforced using the method of Lagrange multipliers:  introducing the $\epsilon\in\mathbb C$, this gives  \begin{equation} \label{eq:constrained.hamiltonian}    H = H_0+\frac p2\epsilon\left(N-\sum_i^Nz_i^2\right). @@ -110,6 +108,11 @@ introducing the $\epsilon\in\mathbb C$, this gives  It is easy to see that {\em for a pure $p$-spin}, at  any critical point  $\epsilon=H/N$, the average energy. +Critical points are given by the set of equations: + +\begin{equation} +\frac{c_p}{(p-1)!}\sum_{ i, i_2\cdots i_p}^NJ_{i, i_2\cdots i_p}z_{i_2}\cdots z_{i_p} = \epsilon z_ +  Since $H$ is holomorphic, a point is a critical point of its real part if and  only if it is also a critical point of its imaginary part. The number of | 
