diff options
author | kurchan.jorge <kurchan.jorge@gmail.com> | 2023-01-22 15:21:21 +0000 |
---|---|---|
committer | node <node@git-bridge-prod-0> | 2023-01-23 09:33:17 +0000 |
commit | 84dff2e9f7ed4da29f02ab90105bb85f9a9f6fce (patch) | |
tree | c643ea90dc225ed055fb2454e3ccdbb4ca09653f | |
parent | e42d569001f3f20dc7b3c49cd159b710cc654e68 (diff) | |
download | PRE_107_064111-84dff2e9f7ed4da29f02ab90105bb85f9a9f6fce.tar.gz PRE_107_064111-84dff2e9f7ed4da29f02ab90105bb85f9a9f6fce.tar.bz2 PRE_107_064111-84dff2e9f7ed4da29f02ab90105bb85f9a9f6fce.zip |
Update on Overleaf.
-rw-r--r-- | frsb_kac-rice.bib | 9 | ||||
-rw-r--r-- | frsb_kac-rice.tex | 79 | ||||
-rw-r--r-- | frsb_kac-rice_letter.tex | 124 | ||||
-rw-r--r-- | response.txt | 236 |
4 files changed, 310 insertions, 138 deletions
diff --git a/frsb_kac-rice.bib b/frsb_kac-rice.bib index 157c14f..37ffb2d 100644 --- a/frsb_kac-rice.bib +++ b/frsb_kac-rice.bib @@ -927,3 +927,12 @@ complexity}, doi = {10.1103/physrevlett.110.118101} } +@article{ros2021dynamical, + title={Dynamical instantons and activated processes in mean-field glass models}, + author={Ros, Valentina and Biroli, Giulio and Cammarota, Chiara}, + journal={SciPost Physics}, + volume={10}, + number={1}, + pages={002}, + year={2021} +} diff --git a/frsb_kac-rice.tex b/frsb_kac-rice.tex index 875d5a9..3d59148 100644 --- a/frsb_kac-rice.tex +++ b/frsb_kac-rice.tex @@ -36,8 +36,8 @@ \begin{abstract} We derive the general solution for counting the stationary points of mean-field complex landscapes. It incorporates Parisi's solution - for the ground state, as it should. Using this solution, we count the - stationary points of two models: one with multi-step replica symmetry + for the ground state, as it should. Using this solution, we count + {\color{red} and discuss the distribution of the stability indices } of stationary points of two {\color{red} representative} models: one with multi-step replica symmetry breaking, and one with full replica symmetry breaking. \end{abstract} @@ -52,33 +52,56 @@ Sherrington--Kirkpatrick model, in a paper remarkable for being one of the first applications of a replica symmetry breaking (RSB) scheme. As was clear when the actual ground-state of the model was computed by Parisi with a different scheme, the Bray--Moore result was not exact, and the problem has -been open ever since \cite{Parisi_1979_Infinite}. To date, the program of -computing the number of stationary points---minima, saddle points, and -maxima---of mean-field complex landscapes has been only carried out for a small subset of -models, including most notably the (pure) $p$-spin model ($p>2$) -\cite{Rieger_1992_The, Crisanti_1995_Thouless-Anderson-Palmer, Cavagna_1997_An, Cavagna_1998_Stationary} and for similar -energy functions inspired by molecular biology, evolution, and machine learning -\cite{Maillard_2020_Landscape, Ros_2019_Complex, Altieri_2021_Properties}. In -a parallel development, it has evolved into an active field of probability +been open ever since \cite{Parisi_1979_Infinite}. +Many other interesting aspects of the problem have been treated, and the subject has +evolved into an active field of probability theory \cite{Auffinger_2012_Random, Auffinger_2013_Complexity, -BenArous_2019_Geometry}. +BenArous_2019_Geometry} and has been applied to +energy functions inspired by molecular biology, evolution, and machine learning +\cite{Maillard_2020_Landscape, Ros_2019_Complex, Altieri_2021_Properties}. + +To date, however, the program of +computing the statistics of stationary points---minima, saddle points, and +maxima---of mean-field complex landscapes has been only carried out in an exact form for a small subset of +models, including most notably the (pure) $p$-spin model ($p>2$) +\cite{Rieger_1992_The, Crisanti_1995_Thouless-Anderson-Palmer, Cavagna_1997_An, Cavagna_1998_Stationary}. + +{\color{red} Not having a full, exact (`quenched') solution of the generic problem is not +primarily a matter of {\em accuracy} of the actual numbers involved. +In the same spirit (but in a geometrically distinct way) as in the case of the equilibrium properties of glasses, +much more basic structural questions are omitted in the approximate `annealed' solution. What is lost is the nature, at any given +energy (or free energy) level, of the stationary points in a generic energy function: at low energies are they basically all minima, with an exponentially small number of saddles, or +-- as we show here -- do they consist of a mixture of saddles whose index -- the number of unstable directions -- is a smoothly distributed number? Also, in an energy +level where almost all saddle points are unstable, are there still a few stable ones? + +These questions need to be answered for the understanding of the relevance of more complex objects such as +barrier crossing (which barriers?) \cite{Ros_2021_Dynamical}, or the fate of long-time dynamics +(which are the target states?). + + + + + In this paper we present what we argue is the general replica ansatz for the number of stationary points of generic mean-field models, which we expect to include the Sherrington--Kirkpatrick model. It reproduces the Parisi result in -the limit of small temperature for the lowest states, as it should. +the limit of small temperature for the lowest states, as it should. For this kind of situation +it clarifies the structure of lowest saddles: there is a continuous distribution of them, +with stability characterized by a continuous distribution of indices. +} -To understand the importance of this computation, consider the following -situation. When one solves the problem of spheres in large dimensions, one -finds that there is a transition at a given temperature to a one-step replica symmetry +From the point of view of glassy systems, consider the following +situation. Generically, we now know \cite{Charbonneau_2014_Fractal} + that there is a transition at a given temperature to a one-step replica symmetry breaking (1RSB) phase at a Kauzmann temperature, and, at a lower temperature, another transition to a full RSB (FRSB) phase (see \cite{Gross_1985_Mean-field, -Gardner_1985_Spin}, the so-called `Gardner' phase -\cite{Charbonneau_2014_Fractal}). Now, this transition involves the lowest -equilibrium states. Because they are obviously unreachable at any reasonable -timescale, a common question is: what is the signature of the Gardner -transition line for higher than equilibrium energy-densities? This is a -question whose answers are significant to interpreting the results of myriad +Gardner_1985_Spin}, the so-called `Gardner' phase. +Now, this transition involves the lowest +equilibrium states which are obviously unreachable at any reasonable +timescale. We should rather ask the question of what is the signature of the Gardner +transition line for states with higher energy-densities: the answer +will then be significant to interpreting the results of myriad experiments and simulations \cite{Xiao_2022_Probing, Hicks_2018_Gardner, Liao_2019_Hierarchical, Dennis_2020_Jamming, Charbonneau_2015_Numerical, Li_2021_Determining, Seguin_2016_Experimental, Geirhos_2018_Johari-Goldstein, @@ -89,11 +112,9 @@ transition are high energy (or low density) states reachable dynamically?' One approach to answering such questions makes use of `state following,' which tracks metastable thermodynamic configurations to their zero temperature limit \cite{Rainone_2015_Following, Biroli_2016_Breakdown, -Rainone_2016_Following, Biroli_2018_Liu-Nagel, Urbani_2017_Shear}. In the -present paper we give a purely geometric appoarch: we consider the local energy -minima at a given energy and study their number and other properties: the -solution involves a replica-symmetry breaking scheme that is well-defined, and -corresponds directly to the topological characteristics of those minima. +Rainone_2016_Following, Biroli_2018_Liu-Nagel, Urbani_2017_Shear}. +The present paper we provide a purely geometric approach, since we shall address the local energy +minima at any given energy and study their number and stability properties. Perhaps the most interesting application of this computation is in the context @@ -126,6 +147,12 @@ $3+16$ model with a 2RSB ground state and a 1RSB complexity, and a $2+4$ with a FRSB ground state and a FRSB complexity. Finally \S\ref{sec:interpretation} provides some interpretation of our results. +{\color{red} A final remark is in order here: for simplicity we have concentrated on the energy, rather +than the {\em free-energy} landscape. Clearly, in the presence of thermal fluctuations, the latter is +more appropriate. However, from the technical point of view, this makes no fundamental difference, it suffices +to apply the same computation to the Thouless-Andreson-Palmer \cite{Crisanti_1995_Thouless-Anderson-Palmer} (TAP) free energy, instead of the energy. No new +complications arise.} + \section{The model} \label{sec:model} diff --git a/frsb_kac-rice_letter.tex b/frsb_kac-rice_letter.tex index 4fb22e7..27025e7 100644 --- a/frsb_kac-rice_letter.tex +++ b/frsb_kac-rice_letter.tex @@ -29,11 +29,12 @@ Complexity is a measure of the number of stationary points in complex landscapes. We derive a general solution for the complexity of mean-field complex landscapes. It incorporates Parisi's solution for the ground state, - as it should. Using this solution, we count the stationary points of two - models: one with multi-step replica symmetry breaking, and one with full - replica symmetry breaking. These examples demonstrate the consistency of the - solution and reveal that the signature of replica symmetry breaking at high - energy densities is found in high-index saddles, not minima. + as it should. Using this solution, we count the stationary points of two representative + models. Including + replica symmetry breaking uncovers s the full organization of saddles in terms of their energies and stabilities encountered in generic models. + %These examples demonstrate the consistency of the + %solution and reveal that the signature of replica symmetry breaking at high + %energy densities is found in high-index saddles, not minima. \end{abstract} \maketitle @@ -45,48 +46,80 @@ size of the system \cite{Maillard_2020_Landscape, Ros_2019_Complex, Altieri_2021_Properties}. Though they are often called `rough landscapes' to evoke the intuitive image of many minima in something like a mountain range, the metaphor to topographical landscapes is strained by the reality that these -complex landscapes also exist in very high dimensions: think of the dimensions -of phase space for $N$ particles, or the number of parameters in a neural -network. - -The \emph{complexity} of a function is the average of the logarithm of the -number of its minima, maxima, and saddle points (collectively stationary -points), under conditions fixing the value of the energy or the index of the -stationary point -\cite{Bray_1980_Metastable}. -Since in complex landscapes this -number grows exponentially with system size, their complexity is an extensive -quantity. Understanding the complexity offers an understanding about the -geometry and topology of the landscape, which can provide insight into -dynamical behavior. - -When complex systems are fully connected, i.e., each degree of freedom -interacts directly with every other, they are often described by a hierarchical -structure of the type first proposed by Parisi, the \emph{replica symmetry -breaking} (RSB) \cite{Parisi_1979_Infinite}. This family of structures is rich, spanning uniform -\emph{replica symmetry} (RS), an integer $k$ levels of hierarchical nested -structure ($k$RSB), a full continuum of nested structure (full RSB or FRSB), -and arbitrary combinations thereof. Though these rich structures are understood -in the equilibrium properties of fully connected models, the complexity has -only been computed in RS cases. +complex landscapes exist in very high dimensions. +Many interesting versions of the problem have been treated, and the subject has +evolved into an active field of probability +theory \cite{Auffinger_2012_Random, Auffinger_2013_Complexity, +BenArous_2019_Geometry} and has been applied to +energy functions inspired by molecular biology, evolution, and machine learning +\cite{Maillard_2020_Landscape, Ros_2019_Complex, Altieri_2021_Properties}. + + + + + +The computation of the number of metastable states in this setting +was pioneered forty years ago by Bray and Moore +\cite{Bray_1980_Metastable}, who proposed the first calculation for the +Sherrington--Kirkpatrick model, in one of the +first applications of any replica symmetry breaking (RSB) scheme. As was clear +from the later results by Parisi \cite{Parisi_1979_Infinite}, their result was not exact, and the problem has +been open ever since. To date the program of +computing the statistics of stationary points---minima, saddle points, and +maxima---of mean-field complex landscapes has been only carried out in an exact form for a relatively small subset of +models, including most notably the (pure) $p$-spin model ($p>2$) +\cite{Rieger_1992_The, Crisanti_1995_Thouless-Anderson-Palmer, Cavagna_1997_An, Cavagna_1998_Stationary}. + +{\color{red} +Having a full, exact (`quenched') solution of the generic problem is not +primarily a matter of {\em accuracy}. +Very basic structural questions are omitted in the approximate `annealed' solution. What is lost is the nature, at any given +energy (or free energy) level, of the stationary points in a generic energy function: at low energies are they basically all minima, with an exponentially small number of saddles, or +-- as we show here -- do they consist of a mixture of saddles whose index -- the number of unstable directions -- is a smoothly distributed number? +These questions need to be answered for the understanding of the relevance of more complex objects such as +barrier crossing (which barriers?) \cite{Ros_2019_Complexity, Ros_2021_Dynamical}, or the fate of long-time dynamics +(which end in what kind of target states?). + + + + + + +In this paper we present what we argue is the general replica ansatz for the +number of stationary points of generic mean-field models, which we expect to +include the Sherrington--Kirkpatrick model. This allows us +to clarify the rich structure of all the saddles, and in particular the lowest ones. The interpretation of a Parisi ansatz itself, in this context must be recast in a way that makes sense for the order parameters involved. + +} + +{\color{blue} + For simplicity we have concentrated here on the energy, rather +than {\em free-energy} landscape, although the latter is sometimes +more appropriate. From the technical point of view, this makes no fundamental difference, it suffices +to apply the same computation to the Thouless-Andreson-Palmer \cite{Crisanti_1995_Thouless-Anderson-Palmer} (TAP) free energy, instead of the energy. We do not expect new features or technical +complications arise. + +} + + In this paper and its longer companion, we share the first results for the complexity with nontrivial hierarchy \cite{Kent-Dobias_2022_How}. Using a general form for the solution detailed in a companion article, we describe the structure of landscapes with a 1RSB complexity and a full RSB complexity -\footnote{The Thouless--Anderson--Palmer (TAP) complexity is the complexity of - a kind of mean-field free energy. Because of some deep thermodynamic - relationships between the TAP complexity and the equilibrium free energy, the -TAP complexity can be computed with extensions of the equilibrium method. As a -result, the TAP complexity has been previously computed for nontrivial -hierarchical structure.}. - -We study the mixed $p$-spin spherical models, with Hamiltonian +%\footnote{The Thouless--Anderson--Palmer (TAP) complexity is the complexity of + % a kind of mean-field free energy. Because of some deep thermodynamic + % relationships between the TAP complexity and the equilibrium free energy, the +%TAP complexity can be computed with extensions of the equilibrium method. As a +%result, the TAP complexity has been previously computed for nontrivial +%hierarchical structure.}. + +For definiteness, we consider the standard example of the mixed $p$-spin spherical models, with Hamiltonian \begin{equation} \label{eq:hamiltonian} H(\mathbf s)=-\sum_p\frac1{p!}\sum_{i_1\cdots i_p}^NJ^{(p)}_{i_1\cdots i_p}s_{i_1}\cdots s_{i_p} \end{equation} -is defined for vectors $\mathbf s\in\mathbb R^N$ confined to the $N-1$ sphere -$S^{N-1}=\{\mathbf s\mid\|\mathbf s\|^2=N\}$. The coupling coefficients $J$ are taken at random, with + $\mathbf s\in\mathbb R^N$ confined to the $N-1$ sphere +$\{|\mathbf s\|^2=N\}$. The coupling coefficients $J$ are taken at random, with zero mean and variance $\overline{(J^{(p)})^2}=a_pp!/2N^{p-1}$ chosen so that the energy is typically extensive. The overbar will always denote an average over the coefficients $J$. The factors $a_p$ in the variances are freely chosen @@ -95,19 +128,16 @@ models have $a_p=1$ for some $p$ and all others zero. The complexity of the $p$-spin models has been extensively studied by physicists and mathematicians. Among physicists, the bulk of work has been on - the so-called `TAP' complexity, -which counts minima in the mean-field Thouless--Anderson--Palmer () free energy \cite{Rieger_1992_The, + the so-called `TAP' complexity of pure models \cite{Rieger_1992_The, Crisanti_1995_Thouless-Anderson-Palmer, Cavagna_1997_An, Cavagna_1997_Structure, Cavagna_1998_Stationary, Cavagna_2005_Cavity, -Giardina_2005_Supersymmetry}. The landscape complexity has been proven for pure -and mixed models without RSB \cite{Auffinger_2012_Random, -Auffinger_2013_Complexity, BenArous_2019_Geometry}. The mixed models been -treated without RSB \cite{Folena_2020_Rethinking}. And the methods of +Giardina_2005_Supersymmetry}, and more recently mixed models \cite{Folena_2020_Rethinking} without RSB \cite{Auffinger_2012_Random, +Auffinger_2013_Complexity, BenArous_2019_Geometry}. And the methods of complexity have been used to study many geometric properties of the pure models, from the relative position of stationary points to one another to shape and prevalence of instantons \cite{Ros_2019_Complexity, Ros_2021_Dynamical}. -The variance of the couplings implies that the covariance of the energy with +{\color{green} {\bf eliminate?} The variance of the couplings implies that the covariance of the energy with itself depends on only the dot product (or overlap) between two configurations. In particular, one finds \begin{equation} \label{eq:covariance} @@ -120,7 +150,7 @@ where $f$ is defined by the series One needn't start with a Hamiltonian like \eqref{eq:hamiltonian}, defined as a series: instead, the covariance rule \eqref{eq:covariance} can be specified for arbitrary, non-polynomial $f$, as in -the `toy model' of M\'ezard and Parisi \cite{Mezard_1992_Manifolds}. In fact, defined this way the mixed spherical model encompasses all isotropic Gaussian fields on the sphere. +the `toy model' of M\'ezard and Parisi \cite{Mezard_1992_Manifolds}. In fact, defined this way the mixed spherical model encompasses all isotropic Gaussian fields on the sphere.} The family of spherical models thus defined is quite rich, and by varying the covariance $f$ nearly any hierarchical structure can be found in diff --git a/response.txt b/response.txt index e9337dd..058a6f8 100644 --- a/response.txt +++ b/response.txt @@ -1,40 +1,119 @@ +\documentclass[a4paper]{letter} -Because neither referee addressed the scientific content of our paper, -nor substantively addressed its presentation, we have not submitted a -revised manuscript. Below, we respond to the referees' comments. - -Report of Referee A -- LY17256/Kent-Dobias -> The authors consider spin glass models with mixed p-spin interactions -> on the N-Sphere and calculate the number of stationary points, the -> logarithm of which yields the complexity. The disorder average of this -> logarithm is computed with the replica trick, and for different model -> variants different replica symmetry breaking (RSB) solutions are -> obtained. A new feature of the solutions, in contrast to previous -> replica symmetric calculations, is that RSB must occur in parts of the -> energy-stability phase diagram. -> -> The paper is clearly written although the content is rather technical -> and probably only accessible to experts in mean field spin glass -> models and the different RSB schemes developed in this field. In -> connection with the well-studied p=3 spin glass model it is briefly -> mentioned that the complexity and its transitions as a function of -> energy and/or stability is relevant for the equilibrium and the -> dynamical behavior of this model – but such a connection has not been -> made here. -> -> Therefore, I feel that the results presented here are only interesting -> for group of experts and I do not assess the finding that the -> complexity of mixed p-spin glass models shows RSB as a major -> breakthrough in the field. Therefore, the manuscript is not suitable -> for publication in Phys. Rev. Lett., and the publication of the -> accompanying longer paper, submitted to PRE, is sufficient to -> disseminate the results summarized in this manuscript. - -Referee A says that our paper is clearly written but technical, and +\usepackage[utf8]{inputenc} % why not type "Bézout" with unicode? +\usepackage[T1]{fontenc} % vector fonts plz +\usepackage{newtxtext,newtxmath} % Times for PR +\usepackage[ + colorlinks=true, + urlcolor=purple, + linkcolor=black, + citecolor=black, + filecolor=black, +]{hyperref} % ref and cite links with pretty colors +\usepackage{xcolor} +\usepackage[style=phys]{biblatex} + +\renewcommand{\thefootnote}{\fnsymbol{footnote}} + +\addbibresource{frsb_kac-rice.bib} + +\signature{ + \vspace{-6\medskipamount} + \smallskip + Jaron Kent-Dobias \& Jorge Kurchan +} + +\address{ + Laboratoire de Physique\\ + Ecole Normale Sup\'erieure\\ + 24 rue Lhomond\\ + 75005 Paris +} + +\begin{document} +\begin{letter}{ + Agnese I.~Curatolo, Ph.D.\\ + Physical Review Letters\\ + 1 Research Road\\ + Ridge, NY 11961 +} + +\opening{Dear Dr.~Curatolo,} + + +Because neither referee addressed (or criticized) the scientific content of our paper, +nor substantively addressed its presentation, we have only modified +the manuscripts in order to highlight the importance of having a full solution. + + +We have thus added the paragraph: + +{\color{red} +Having a full, exact (`quenched') solution of the generic problem is not +primarily a matter of {\em accuracy}. +Very basic structural questions are omitted in the approximate `annealed' solution. What is lost is the nature, at any given +energy (or free energy) level, of the stationary points in a generic energy function: at low energies are they basically all minima, with an exponentially small number of saddles, or +-- as we show here -- do they consist of a mixture of saddles whose index -- the number of unstable directions -- is a smoothly distributed number? +These questions need to be answered for the understanding of the relevance of more complex objects such as +barrier crossing (which barriers?) \cite{Ros_2019_Complexity, Ros_2021_Dynamical}, or the fate of long-time dynamics +(which end in what kind of target states?). + +} + +Both referees find that our paper is clearly written but technical, and that its topic of "the different RSB schemes" are not suitable for a broad audience. This is surprising to the authors, since a quick search on Google Scholar reveals several recent PRLs with heavy use of -RSB schemes. +RSB schemes. + +We would also like to submit to the referees that it is somewhat +incongruous that the solution to a problem that had remained open for 42 years -- during which it was always present in articles in PRL and PRX -- is rejected +because it demands of the readers a slightly longer attention span. + + + + +\begin{enumerate} + \item PRL has been publishing articles on precisely this problem in the + last 30 years.\footfullcite{Fyodorov_2004_Complexity, Bray_2007_Statistics, Fyodorov_2012_Critical, Wainrib_2013_Topological} + \item These works were often limited by the fact that general landscapes (for + which an annealed solution is not exact) were inaccessible. It is perhaps + true that the final solution of an open problem may often be more technical + than the previous ones. +\end{enumerate} + + + +Below, we respond to the referees' comments. + +{\it Report of Referee A -- LY17256/Kent-Dobias + The authors consider spin glass models with mixed p-spin interactions + on the N-Sphere and calculate the number of stationary points, the + logarithm of which yields the complexity. The disorder average of this + logarithm is computed with the replica trick, and for different model + variants different replica symmetry breaking (RSB) solutions are + obtained. A new feature of the solutions, in contrast to previous + replica symmetric calculations, is that RSB must occur in parts of the + energy-stability phase diagram. + + The paper is clearly written although the content is rather technical + and probably only accessible to experts in mean field spin glass + models and the different RSB schemes developed in this field. In + connection with the well-studied p=3 spin glass model it is briefly + mentioned that the complexity and its transitions as a function of + energy and/or stability is relevant for the equilibrium and the + dynamical behavior of this model – but such a connection has not been + made here. + + Therefore, I feel that the results presented here are only interesting + for group of experts and I do not assess the finding that the + complexity of mixed p-spin glass models shows RSB as a major + breakthrough in the field. Therefore, the manuscript is not suitable + for publication in Phys. Rev. Lett., and the publication of the + accompanying longer paper, submitted to PRE, is sufficient to + disseminate the results summarized in this manuscript.} + + Referee A correctly points out that one new feature of the solutions outlined in our manuscript is that RSB must occur in parts of the @@ -42,10 +121,12 @@ phase diagram for these models. However, they neglect another feature: that they are the solutions of the *quenched* complexity, which has not been correctly calculated until now. We agree with the referee that "the complexity of the mixed p-spin glass models" is not a major -breakthrough in and of itself, but believe that the technique for -computing the quenched complexity is a major breakthrough. Just -because this new technique is demonstrated on the simplest toy models -should not discount its importance and potential. +breakthrough in and of itself, we just +chose to demonstrate the problem in simplest toy model. But believe that the technique for +computing the quenched complexity is a major breakthrough +{\bf because it brings in the features of organization of saddles of all +kinds that are invisible in the annealed scheme}. + Referee A states that a connection between the complexity and the equilibrium and dynamical behavior is not made in our paper. Until @@ -55,38 +136,55 @@ spherical models was exciting enough news to be published in PRX 10, 031045 (2020). It is true that our work doesn't solve the problem that paper opened, but it does deepen it by showing definitively that the use of RSB and the quenched complexity are not sufficient to -reestablish a landscape–dynamics connection. We disagree with the -referee's implicit assertion that only clean resolutions, and not the -compelling deepening of problems, are worthy of a broad audience. +reestablish a landscape–dynamics connection. +{\bf One can hardly expect that the structure of saddles at a given energy may be connected +with dynamics (for example in Sherrington Kirkpatrick) if it is unknown}. +%We disagree with the +%referee's implicit assertion that only clean resolutions, and not the +%compelling deepening of problems, are worthy of a broad audience. Report of Referee B -- LY17256/Kent-Dobias -> The paper presents a computation of the complexity in spherical -> spin-glass models. Neither the techniques nor the results are -> sufficiently new and relevant to justify publication on PRL. This is -> not surprising given that the topic has been studied extensively in -> the last thirty years and more, the only novelty with respect to -> previous work is that the results are obtained at zero temperature but -> this is definitively not enough. Essential open problems in the field -> involves dynamics and activated processes and some results have -> appeared recently, instead the analysis of the static landscape, to -> which the present paper is a variation, failed to deliver answers to -> these questions up to now. -> -> I recommend that the paper is not published in PRL while the companion -> paper is worth publishing on PRE. - -We disagree with the statement of Referee B that "the only novelty +{\it The paper presents a computation of the complexity in spherical + spin-glass models. Neither the techniques nor the results are + sufficiently new and relevant to justify publication on PRL. This is + not surprising given that the topic has been studied extensively in + the last thirty years and more, the only novelty with respect to + previous work is that the results are obtained at zero temperature but + this is definitively not enough. Essential open problems in the field + involves dynamics and activated processes and some results have + appeared recently, instead the analysis of the static landscape, to + which the present paper is a variation, failed to deliver answers to + these questions up to now. + + } + +Concerning the statement of Referee B that "the only novelty with respect to previous work is that the results are obtained at zero -temperature". For a system where the quenched and annealed -complexities differ, there has not been a correct calculation of the -quenched complexity at finite temperature. (and, besides our work, -only once or twice at zero temperature, e.g., PRX 9, 011003 (2019).) -Rejecting a paper based on a severe misconception of its contents or -of the state of the field is not appropriate. - -We agree with Referee B's assessment of "[e]ssential open problems in +temperature", we do not know what to make of the referee's statement. +The novelty of the paper is most definitely +not the fact of treating a zero temperature case. +We have added the following phrase, that should clarify the situation: + +{\color{blue} + For simplicity we have concentrated here on the energy, rather +than {\em free-energy} landscape, although the latter is sometimes +more appropriate. From the technical point of view, this makes no fundamental difference, it suffices +to apply the same computation to the Thouless-Andreson-Palmer \cite{Crisanti_1995_Thouless-Anderson-Palmer} (TAP) free energy, instead of the energy. We do not expect new features or technical +complications arise. + +} + + +%For a system where the quenched and annealed +%complexities differ, there has not been a correct calculation of the +%quenched complexity at finite temperature. (and, besides our work, +%only once or twice at zero temperature, e.g., PRX 9, 011003 (2019).) +%Rejecting a paper based on a severe misconception of its contents or +%of the state of the field is not appropriate. + +We agree with Referee B's assessment of "essential open problems in the field," and agree that our work does not deliver answers. However, -delivering answers for essential open problems is not the acceptance +delivering answers for all essential open problems is not the acceptance criterion of PRL. These are - Open a new research area, or a new avenue within an established area. @@ -100,3 +198,11 @@ dynamics. We believe that its essential step is through the introduction of a new technique, calculation of the quenched complexity, which we believe will have significant impact as it is applied to more complicated models. + +\closing{Sincerely,} + +\vspace{1em} + +\end{letter} + +\end{document} |