On the topology of solutions to random continuous constraint satisfaction problems

We consider the set of solutions to $M$ random polynomial equations whose $N$ variables are restricted to the $(N-1)$-sphere. Each equation has independent Gaussian coefficients and a target value $V_0$. When solutions exist, they form a manifold. We compute the average Euler characteristic of this...

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Main Author: Jaron Kent-Dobias
Format: Article
Language:English
Published: SciPost 2025-05-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.18.5.158
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author Jaron Kent-Dobias
author_facet Jaron Kent-Dobias
author_sort Jaron Kent-Dobias
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description We consider the set of solutions to $M$ random polynomial equations whose $N$ variables are restricted to the $(N-1)$-sphere. Each equation has independent Gaussian coefficients and a target value $V_0$. When solutions exist, they form a manifold. We compute the average Euler characteristic of this manifold in the limit of large $N$, and find different behavior depending on the target value $V_0$, the ratio $\alpha=M/N$, and the variances of the coefficients. We divide this behavior into five phases with different implications for the topology of the solution manifold. When $M=1$ there is a correspondence between this problem and level sets of the energy in the spherical spin glasses. We conjecture that the transition energy dividing two of the topological phases corresponds to the energy asymptotically reached by gradient descent from a random initial condition, possibly resolving an open problem in out-of-equilibrium dynamics. However, the quality of the available data leaves the question open for now.
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spelling doaj-art-edac1accb2cc4cf991ad35eee820efc42025-08-20T03:10:01ZengSciPostSciPost Physics2542-46532025-05-0118515810.21468/SciPostPhys.18.5.158On the topology of solutions to random continuous constraint satisfaction problemsJaron Kent-DobiasWe consider the set of solutions to $M$ random polynomial equations whose $N$ variables are restricted to the $(N-1)$-sphere. Each equation has independent Gaussian coefficients and a target value $V_0$. When solutions exist, they form a manifold. We compute the average Euler characteristic of this manifold in the limit of large $N$, and find different behavior depending on the target value $V_0$, the ratio $\alpha=M/N$, and the variances of the coefficients. We divide this behavior into five phases with different implications for the topology of the solution manifold. When $M=1$ there is a correspondence between this problem and level sets of the energy in the spherical spin glasses. We conjecture that the transition energy dividing two of the topological phases corresponds to the energy asymptotically reached by gradient descent from a random initial condition, possibly resolving an open problem in out-of-equilibrium dynamics. However, the quality of the available data leaves the question open for now.https://scipost.org/SciPostPhys.18.5.158
spellingShingle Jaron Kent-Dobias
On the topology of solutions to random continuous constraint satisfaction problems
SciPost Physics
title On the topology of solutions to random continuous constraint satisfaction problems
title_full On the topology of solutions to random continuous constraint satisfaction problems
title_fullStr On the topology of solutions to random continuous constraint satisfaction problems
title_full_unstemmed On the topology of solutions to random continuous constraint satisfaction problems
title_short On the topology of solutions to random continuous constraint satisfaction problems
title_sort on the topology of solutions to random continuous constraint satisfaction problems
url https://scipost.org/SciPostPhys.18.5.158
work_keys_str_mv AT jaronkentdobias onthetopologyofsolutionstorandomcontinuousconstraintsatisfactionproblems