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authorJaron Kent-Dobias <jaron@kent-dobias.com>2022-03-28 23:54:09 +0200
committerJaron Kent-Dobias <jaron@kent-dobias.com>2022-03-28 23:54:09 +0200
commitd5cee36e3478b13ef0b0ac3cee18d88cf4d7786e (patch)
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parent460531efe135f92caaaf04f086ffff6da1efe1ae (diff)
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Added a lot of new figures and writing to the two-spin section.
-rw-r--r--figs/neighbor_energy_limit.pdfbin0 -> 28556 bytes
-rw-r--r--figs/neighbor_geometry.pdfbin8707 -> 11097 bytes
-rw-r--r--figs/neighbor_limit_thres_above.pdfbin0 -> 11269 bytes
-rw-r--r--figs/neighbor_limit_thres_at.pdfbin0 -> 10145 bytes
-rw-r--r--figs/neighbor_limit_thres_below.pdfbin0 -> 10879 bytes
-rw-r--r--figs/neighbor_limit_thres_legend.pdfbin0 -> 6648 bytes
-rw-r--r--figs/neighbor_plot.pdfbin0 -> 14697 bytes
-rw-r--r--figs/neighbor_thres.pdfbin0 -> 13483 bytes
-rw-r--r--stokes.tex85
9 files changed, 84 insertions, 1 deletions
diff --git a/figs/neighbor_energy_limit.pdf b/figs/neighbor_energy_limit.pdf
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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_thres.pdf b/figs/neighbor_thres.pdf
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diff --git a/stokes.tex b/stokes.tex
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@@ -1642,11 +1642,94 @@ peaked around $\varphi=45^\circ$, while above the threshold it is peaked
strongly near the minimum allowed $\varphi$. At the threshold, the function
becomes extremely flat.
+\begin{figure}
+ \includegraphics{figs/neighbor_thres.pdf}
+ \caption{
+ The scaled two-replica complexity $\Upsilon$ as a function of angle
+ $\varphi$ with $\epsilon_2=\epsilon_1$, $\Delta=2^{-7}$, and various
+ $\epsilon_1$. At the threshold, the function undergoes a geometric
+ transition and becomes sharper with decreasing $\Delta$.
+ } \label{fig:neighbor.complexity.passing.threshold}
+\end{figure}
+
One can examine the scaling of these curves as $\Delta$ goes to zero. Both above and below the threshold, one finds a quickly-converging limit of $(\Sigma(\epsilon_1,\epsilon_1,\varphi,\Delta)/\Sigma_2(\epsilon_1)-1)/\Delta$. Above the threshold, these curves converge to a function whose peak is always precisely at $45^\circ$, while below they converge to a function with a peak that grows linearly with $\Delta^{-1}$. At the threshold, the scaling is different, and the function approaches a flat function extremely rapidly, as $\Delta^3$.
+\begin{figure}
+ \includegraphics{figs/neighbor_limit_thres_above.pdf}
+ \hspace{-1em}
+ \includegraphics{figs/neighbor_limit_thres_at.pdf}
+ \hspace{-1em}
+ \includegraphics{figs/neighbor_limit_thres_below.pdf}
+ \hfill
+ \includegraphics{figs/neighbor_limit_thres_legend.pdf}
+ \caption{
+ The scaled two-replica complexity $\Upsilon$ as a function of angle
+ $\varphi$ for various $\Delta$, $\epsilon_2=\epsilon_1$, and \textbf{Left:}
+ $\epsilon_1=\epsilon_\mathrm{th}+0.001$ \textbf{Center:}
+ $\epsilon_1=\epsilon_\mathrm{th}$ \textbf{Right:}
+ $\epsilon=\epsilon_\mathrm{th}-0.001$. All lines have been normalized by
+ the complexity $\Sigma$ of the real 3-spin model at the same energy, or
+ (where relevant) by the complexity $\Sigma_2$ of rank-two saddles of the
+ real 3-spin model.
+ }
+\end{figure}
+
Thus, there is an abrupt geometric transition in the population of nearest
neighbors as the threshold is crossed: above they are broadly distributed at
-all angles, while below they are highly concentrated around $90^\circ$. From this analysis it appears that the complexity of the nearest neighbors, at zero distance, behaves as that of the index-2 saddles at all angles, which would imply that the nearest neighbors vanish at the same point as the index-2 saddles. However, this is not the case: we have only shown that this is how the neighbors at \emph{identical energy} scale, which is correct above the threshold, but no longer underneath.
+all angles, while below they are highly concentrated around $90^\circ$. From
+this analysis it appears that the complexity of the nearest neighbors, at zero
+distance, behaves as that of the index-2 saddles at all angles, which would
+imply that the nearest neighbors vanish at the same point as the index-2
+saddles. However, this is not the case: we have only shown that this is how the
+neighbors at \emph{identical energy} scale, which is correct above the
+threshold, but no longer underneath.
+
+If an energy is taken under the threshold and the two-replica complexity
+maximized with respect to both $\epsilon_2$ and $\varphi$, one finds that as
+$\Delta\to0$, $\epsilon_2\to\epsilon_1$, as must be the case the find a
+positive complexity at zero distance, but the maximum is never at
+$\epsilon_2=\epsilon_1$, but rather at a small distance $\Delta\epsilon$ that
+decreases with decreasing $\Delta$ like $\Delta^2$. When the complexity is
+maximized in both parameters, one finds that, in the limit as $\Delta\to0$, the
+peak is at $90^\circ$ but has a height equal to $\Sigma_1$, the complexity of
+rank-1 saddles.
+
+\begin{figure}
+ \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
+ 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
+ like $\epsilon_2-\epsilon_1\propto\Delta^2$. \textbf{Dashed lines:} The
+ complexity evaluated at $\epsilon_2=\epsilon_1$.
+ }
+\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
+\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 $180^\circ$.
+
+\begin{figure}
+ \includegraphics{figs/neighbor_plot.pdf}
+
+ \caption{
+ The properties of the nearest neighbor saddles as a function of energy
+ $\epsilon$. Above the threshold energy $\mathcal E_\mathrm{th}$, stationary
+ points are found at arbitrarily close distance and at all angles $\varphi$
+ 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
+ points are found at arbitrarily close distance but only at $90^\circ$.
+ Below $\mathcal E_1$, 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}
\subsection{Pure {\it p}-spin: is analytic continuation possible?}