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author | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2022-03-29 16:40:39 +0200 |
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committer | Jaron Kent-Dobias <jaron@kent-dobias.com> | 2022-03-29 16:40:39 +0200 |
commit | 5f7e3b85e0a6c33ec1aa8284c2ddaba0eb99593a (patch) | |
tree | 3cc4549b574eb8a5863d1130ce6f8baf788e3ea9 /stokes.tex | |
parent | e5ed6245474c8ae1b879eabd2c31460864c7f79e (diff) | |
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Started using new notation for landmark energies.
Diffstat (limited to 'stokes.tex')
-rw-r--r-- | stokes.tex | 34 |
1 files changed, 22 insertions, 12 deletions
@@ -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. |