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-rw-r--r--figs/neighbor_closest_energy.pdfbin11966 -> 14381 bytes
-rw-r--r--figs/neighbor_geometry.pdfbin11097 -> 11097 bytes
-rw-r--r--figs/neighbor_limit_thres_above.pdfbin11269 -> 12526 bytes
-rw-r--r--figs/neighbor_limit_thres_at.pdfbin10145 -> 11628 bytes
-rw-r--r--figs/neighbor_limit_thres_below.pdfbin10879 -> 11706 bytes
-rw-r--r--figs/neighbor_limit_thres_legend.pdfbin6648 -> 6648 bytes
-rw-r--r--figs/neighbor_plot.pdfbin14697 -> 17103 bytes
-rw-r--r--figs/neighbor_thres.pdfbin13483 -> 13561 bytes
-rw-r--r--stokes.tex34
9 files changed, 22 insertions, 12 deletions
diff --git a/figs/neighbor_closest_energy.pdf b/figs/neighbor_closest_energy.pdf
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diff --git a/figs/neighbor_geometry.pdf b/figs/neighbor_geometry.pdf
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diff --git a/figs/neighbor_limit_thres_above.pdf b/figs/neighbor_limit_thres_above.pdf
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diff --git a/figs/neighbor_limit_thres_at.pdf b/figs/neighbor_limit_thres_at.pdf
index f4b5abe..f92c770 100644
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diff --git a/figs/neighbor_limit_thres_below.pdf b/figs/neighbor_limit_thres_below.pdf
index f35d95e..53748f9 100644
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diff --git a/figs/neighbor_limit_thres_legend.pdf b/figs/neighbor_limit_thres_legend.pdf
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diff --git a/figs/neighbor_plot.pdf b/figs/neighbor_plot.pdf
index 8480704..9cf0a95 100644
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diff --git a/figs/neighbor_thres.pdf b/figs/neighbor_thres.pdf
index 9c4838c..8afdf06 100644
--- a/figs/neighbor_thres.pdf
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diff --git a/stokes.tex b/stokes.tex
index d09ae87..10eda20 100644
--- a/stokes.tex
+++ b/stokes.tex
@@ -1698,7 +1698,7 @@ rank-1 saddles.
\includegraphics{figs/neighbor_energy_limit.pdf}
\caption{
The two-replica complexity $\Upsilon$ scaled by $\Sigma_1$ as a function of
- angle $\varphi$ for various $\Delta$ at $\epsilon_1=\mathcal E_2$, the
+ angle $\varphi$ for various $\Delta$ at $\epsilon_1=\epsilon_{k=2}$, the
point of zero complexity for rank-two saddles in the real problem.
\textbf{Solid lines:} The complexity evaluated at the value of $\epsilon_2$
which leads to the largest maximum value. As $\Delta$ varies this varies
@@ -1707,11 +1707,21 @@ rank-1 saddles.
}
\end{figure}
-Below $\mathcal E_1$, where the rank-1 saddle complexity vanishes, the complexity of stationary points of any type at zero distance is negative. To find what the nearest population looks like, one must find the minimum $\Delta$ at which the complexity is nonnegative, or
+Below $\epsilon_{k=1}$, where the rank-1 saddle complexity vanishes, the complexity of stationary points of any type at zero distance is negative. To find what the nearest population looks like, one must find the minimum $\Delta$ at which the complexity is nonnegative, or
\begin{equation}
\Delta_\textrm{min}=\operatorname{argmin}_\Delta\left(0\leq\max_{\epsilon_2, \varphi}\Upsilon(\epsilon_1,\epsilon_2,\Delta,\varphi)\right)
\end{equation}
-The result in $\Delta_\textrm{min}$ and the corresponding $\varphi$ that produces it is plotted in Fig.~\ref{fig:nearest.properties}. As the energy is brought below $\mathcal E_1$, $\epsilon_2-\epsilon_1\propto -|\epsilon_1-\mathcal E_1|^2$, $\varphi-90^\circ\propto-|\epsilon_1-\mathcal E_1|^{1/2}$, and $\Delta_\textrm{min}\propto|\epsilon_1-\mathcal E_1|$. The fact that the population of nearest neighbors has a energy lower than the stationary point gives some hope for the success of continuation involving these points: since Stokes points only lead to a change in weight when they involve upward flow from a point that already has weight, neighbors that have a lower energy won't be eligible to be involved in a Stokes line that causes a change of weight until the phase of $\beta$ has rotated almost $180^\circ$.
+The result in $\Delta_\textrm{min}$ and the corresponding $\varphi$ that
+produces it is plotted in Fig.~\ref{fig:nearest.properties}. As the energy is
+brought below $\epsilon_{k=1}$, $\epsilon_2-\epsilon_1\propto
+-|\epsilon_1-\epsilon_{k=1}|^2$, $\varphi-90^\circ\propto-|\epsilon_1-\mathcal
+E_1|^{1/2}$, and $\Delta_\textrm{min}\propto|\epsilon_1-\epsilon_{k=1}|$. The
+fact that the population of nearest neighbors has a energy lower than the
+stationary point gives some hope for the success of continuation involving
+these points: since Stokes points only lead to a change in weight when they
+involve upward flow from a point that already has weight, neighbors that have a
+lower energy won't be eligible to be involved in a Stokes line that causes a
+change of weight until the phase of $\beta$ has rotated almost $180^\circ$.
\begin{figure}
\includegraphics{figs/neighbor_closest_energy.pdf}
@@ -1720,7 +1730,7 @@ The result in $\Delta_\textrm{min}$ and the corresponding $\varphi$ that produce
The energy $\epsilon_2$ of the nearest neighbor stationary points in the
complex plane to a given real stationary point of energy $\epsilon_1$. The
dashed line shows $\epsilon_2=\epsilon_1$. The nearest neighbor energy
- coincides with the dashed line until $\mathcal E_1$, the energy where
+ coincides with the dashed line until $\epsilon_{k=1}$, the energy where
rank-one saddles vanish, where it peels off.
}
\end{figure}
@@ -1735,15 +1745,15 @@ The result in $\Delta_\textrm{min}$ and the corresponding $\varphi$ that produce
in the complex plane. Below $\mathcal E_\mathrm{th}$ but above $\mathcal
E_2$, stationary points are still found at arbitrarily close distance and
all angles, but there are exponentially more found at $90^\circ$ than at
- any other angle. Below $\mathcal E_2$ but above $\mathcal E_1$, stationary
+ any other angle. Below $\epsilon_{k=2}$ but above $\epsilon_{k=1}$, stationary
points are found at arbitrarily close distance but only at $90^\circ$.
- Below $\mathcal E_1$, neighboring stationary points are separated by a
+ Below $\epsilon_{k=1}$, neighboring stationary points are separated by a
minimum squared distance $\Delta_\textrm{min}$, and the angle they are
found at drifts.
} \label{fig:nearest.properties}
\end{figure}
-\section{The {\it p}-spin spherical models: numerics}
+\subsection{Pure {\it p}-spin: numerics}
To study Stokes lines numerically, we approximated them by parametric curves.
If $z_0$ and $z_1$ are two stationary points of the action with
@@ -1937,17 +1947,17 @@ Each integral will be dominated by its value near the maximum of the real part o
As with the 2-spin model, the integral over $\epsilon$ is oscillatory and can
only be reliably evaluated with a saddle point when either the period of
oscillation diverges \emph{or} when the maximum lies at a cusp. We therefore
-expect changes in behavior when $\epsilon=\mathcal E_0$, the ground state energy.
+expect changes in behavior when $\epsilon=\epsilon_{k=0}$, the ground state energy.
The temperature at which this happens is
\begin{eqnarray}
- \operatorname{Re}\beta_A&=-\frac12\frac{3p-4}{p-1}\mathcal E_0+\frac12\frac p{p-1}\sqrt{\mathcal E_0^2-\mathcal E_\mathrm{th}^2}\\
- \operatorname{Re}\beta_B&=-\mathcal E_0
+ \operatorname{Re}\beta_A&=-\frac12\frac{3p-4}{p-1}\epsilon_{k=0}+\frac12\frac p{p-1}\sqrt{\epsilon_{k=0}^2-\epsilon_\mathrm{th}^2}\\
+ \operatorname{Re}\beta_B&=-\epsilon_{k=0}
\end{eqnarray}
which for all $p\geq2$ has $\operatorname{Re}\beta_A>\operatorname{Re}\beta_B$.
Therefore, the emergence of zeros in $Z_A$ does not lead to the emergence of
zeros in the partition function as a whole, because $Z_B$ still produces a
-coherent result (despite the unknown constant factor $\eta(\mathcal E_0)$). It is
-only at $\operatorname{Re}\beta_B=-\mathcal E_0$ where both terms contributing to
+coherent result (despite the unknown constant factor $\eta(\epsilon_{k=0})$). It is
+only at $\operatorname{Re}\beta_B=-\epsilon_{k=0}$ where both terms contributing to
the partition function at large $N$ involve incoherent integrals near the
maximum, and only here where the density of zeros is expected to become
nonzero.