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authorkurchan.jorge <kurchan.jorge@gmail.com>2022-07-12 14:20:01 +0000
committernode <node@git-bridge-prod-0>2022-07-12 14:21:22 +0000
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Update on Overleaf.
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@@ -26,7 +26,7 @@
\maketitle
\begin{abstract}
We derive the general solution for the computation of stationary points of
- mean-field complex landscapes. The solution incorporates Parisi's solution
+ mean-field complex landscapes. It incorporates Parisi's solution
for the ground state, as it should.
\end{abstract}
@@ -403,10 +403,19 @@ where the function $\mathcal D$ is defined by
\right\}
\end{aligned}
\end{equation}
-It follows that by fixing the trace of the Hessian, we have effectively fixed
-the value of the stability $\mu$ in all replicas to the value $\mu^*$, and
-therefore the index of saddles in all replicas as well.
+{\color{blue}
+By fixing the trace of the Hessian, we have effectively fixed
+the value of the stability $\mu$ in all replicas to the value $\mu^*$.\\
+
+$\bullet$ For $\mu^*<\mu_m$, this amounts to fixing the index density. The argument is that
+the overwhelming majority of saddles have a semicircle distribution, the fluctuations are rarer than exponential.
+
+$\bullet$ For the gapped case $\mu^*>\mu_m$, there is a an exponentially small probability that $r=1,2,...$ eigenvalues detach
+from the semicircle in such a way that the index is in fact $N {\cal{I}}=r$.
+We shall not discuss these index fluctuations in this paper, the interested
+reader may find what is needed in \cite{Auffinger_2013_Complexity}
+}
\subsubsection{The gradient factors}
The $\delta$-functions in the remaining factor are treated by writing them in