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Fluctuation-dissipation violations in mean-field non-reciprocal spin glasses

This paper analytically and numerically demonstrates that non-reciprocal couplings in the spherical Sherrington-Kirkpatrick model generically violate the fluctuation-dissipation theorem due to broken detailed balance rather than aging, leading to faster and oscillatory dynamics that can be understood through distinct solvable limits.

Original authors: Ot Garcés, Demian Levis

Published 2026-07-29
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Original authors: Ot Garcés, Demian Levis

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine a world where everything is connected, like a giant, invisible web of friends influencing each other's moods. In physics, scientists study these webs to understand how complex systems—like the neurons in your brain, the flocking of birds, or even the stock market—behave. Usually, they assume these systems follow a rule called "detailed balance," which is like a perfect game of catch: if you throw a ball to a friend, they throw it back with the exact same force. This rule keeps things calm and predictable, eventually settling into a peaceful, balanced state called equilibrium. But what happens when the rules change? What if your friend catches your ball but throws it back slightly differently, or maybe even throws it to someone else entirely? This is called "non-reciprocity," and it's the secret ingredient in many real-world systems that never seem to settle down, from active bacteria to artificial intelligence. Scientists have long wondered: if these systems break the rules of equilibrium, do they just get stuck in a messy, frozen state (like a traffic jam that never moves), or do they find a new, weird kind of rhythm?

This paper dives into that mystery by looking at a mathematical model called the spherical Sherrington-Kirkpatrick (sSK) model. Think of this model as a giant, perfectly connected party where every guest (a "spin") is constantly chatting with every other guest. The researchers asked: What happens if we make the conversations non-reciprocal? Specifically, they wanted to see how the "Fluctuation-Dissipation Theorem" (FDT) behaves. In simple terms, the FDT is a golden rule that links how much a system wiggles on its own (fluctuations) to how much it reacts when you poke it (dissipation). In a calm, balanced world, these two are perfectly matched. But in the messy, non-reciprocal world, the authors found that this rule breaks, but not in the way everyone expected. They discovered that even when the system is moving fast and settling down quickly (not stuck in a frozen state), the golden rule still breaks. Instead of getting stuck in a slow, aging traffic jam, the system finds a new, steady dance where it wiggles and reacts in a mismatched, non-equilibrium way.

The authors explored this by solving complex equations for three different types of "conversations" between the guests:

  1. The Perfect Reciprocal Party (Symmetric): Here, everyone throws the ball back exactly as they caught it. This is the classic, well-known scenario. The team confirmed that if the party gets too intense (low temperature), the guests get stuck in a chaotic, frozen mess where time seems to stop, and the golden rule breaks because the system is "aging" (getting stuck).
  2. The Random Party (Uncorrelated): Here, the conversations are random; what A says to B has no relation to what B says to A. Surprisingly, the authors found that even if the party gets intense, the guests never get stuck. They keep moving, but they break the golden rule. The system settles into a steady state where the wiggles and reactions don't match, but it happens quickly and smoothly, without the slow, freezing aging seen in the first case.
  3. The Opposite Party (Antisymmetric): Here, if A pushes B, B pushes A in the exact opposite direction. This creates a wild, oscillating dance. The guests don't just settle; they start swaying back and forth in a rhythmic pattern, like a pendulum. Even though they are moving and dancing, they still break the golden rule. The system is stable and never freezes, but it lives in a constant state of non-equilibrium, driven by these opposing forces.

By mixing these scenarios, the researchers showed that as you introduce more "non-reciprocity" (making the interactions less equal), the system speeds up. It stops aging and starts dancing or swaying. The key takeaway is that breaking the rules of equilibrium doesn't always mean getting stuck in a slow, frozen state. Sometimes, it means the system finds a new, fast, and rhythmic way to exist where the old rules of balance simply don't apply. This helps scientists understand how complex, non-reciprocal systems—from brains to ecosystems—can stay active and dynamic without falling apart or freezing over. The authors used both mathematical proofs for the extreme cases and computer simulations for the middle ground, showing that these weird, non-equilibrium dances are a real and robust feature of nature's more chaotic systems.

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