Interacting copies of random-constraint satisfaction problems

We study a system of y=2 coupled copies of a well-known constraint satisfaction problem (random hypergraph bicoloring) to examine how the ferromagnetic coupling between the copies affects the properties of the solution space. We solve the replicated model by applying the cavity method to the supervariables that take 2^{y} values. Our results show that a coupling of strength γ between the copies decreases the clustering threshold α_{d}(γ), at which typical solutions shatter into disconnected components, therefore preventing numerical methods such as Monte Carlo Markov chains from reaching equilibrium in polynomial time. This result needs to be reconciled with the observation that, in models with coupled copies, denser regions of the solution space should be more accessible. Additionally, we observe a change in the nature of the clustering phase transition, from discontinuous to continuous, in a wide γ range. We investigate how the coupling affects the behavior of the belief propagation (BP) algorithm on finite-size instances and find that BP convergence is significantly impacted by the continuous transition. These results highlight the importance of better understanding algorithmic performance at the clustering transition and call for further exploration into the optimal use of reweighting strategies designed to enhance algorithmic performance.

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Publication Details

Journal
Physical review. E
Published
2025-11-20
DOI
https://doi.org/10.1103/86dj-6w3r
Primary Topic
Constraint Satisfaction and Optimization
Type
article
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article

Interacting copies of random-constraint satisfaction problems

Karl J. Friston
Physical review. E
Constraint Satisfaction and Optimization
article

Interacting copies of random-constraint satisfaction problems

Karl J. Friston
article en

Abstract

We study a system of y=2 coupled copies of a well-known constraint satisfaction problem (random hypergraph bicoloring) to examine how the ferromagnetic coupling between the copies affects the properties of the solution space. We solve the replicated model by applying the cavity method to the supervariables that take 2^{y} values. Our results show that a coupling of strength γ between the copies decreases the clustering threshold α_{d}(γ), at which typical solutions shatter into disconnected components, therefore preventing numerical methods such as Monte Carlo Markov chains from reaching equilibrium in polynomial time. This result needs to be reconciled with the observation that, in models with coupled copies, denser regions of the solution space should be more accessible. Additionally, we observe a change in the nature of the clustering phase transition, from discontinuous to continuous, in a wide γ range. We investigate how the coupling affects the behavior of the belief propagation (BP) algorithm on finite-size instances and find that BP convergence is significantly impacted by the continuous transition. These results highlight the importance of better understanding algorithmic performance at the clustering transition and call for further exploration into the optimal use of reweighting strategies designed to enhance algorithmic performance.

Physical review. EVol. 112(6)
Institut national de recherche en sciences et technologies du numérique (FR), École Normale Supérieure - PSL (FR), Istituto Nanoscienze (IT), Istituto di Nanotecnologia (IT), École Normale Supérieure (BI), Sapienza University of Rome (IT)
Openalex Percentile: Top 55%
Constraint Satisfaction and Optimization
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