How to Hear the Friction of an Invisible Machine ✎

Original: "Lower bounds on entropy production from dynamical correlation functions"
arXiv:2608.03619 · 2026-08-04 · arXiv non-exclusive · independent analysis · 2 min
If two signals respond to each other asymmetrically in time, that betrays hidden energy dissipation.

Behind the wall, an invisible machine is running. We cannot see the gears, but we hear the floor and the ceiling respond to its vibration. If the floor hums, the ceiling answers with a delay, and if the ceiling hums, the floor answers differently. This asymmetry of response reveals that something inside is rubbing and heating up.

A similar situation arises in the physics of small systems, for instance molecular motors. Thermal noise prevents us from measuring every detail precisely, and the instrument registers only coarse states: "working" or "idle." How much energy is dissipated as heat is not directly visible. The authors of the paper found a way to estimate a lower bound on this dissipation from the asymmetry of the coupling between two observable quantities at different moments in time.

Coupling here means correlation, that is, how strongly the values of one quantity at one moment are related to the values of another quantity at another moment. If the coupling is asymmetric in time, then the system has a directed flow, and with it, irreversibility.

For a steady state, when the flows are constant, the estimate works for any time interval between measurements. For changing processes, it holds when the two moments nearly coincide. In the examples, the estimate captures up to 60% of the true dissipation in a network of four states and about half for a particle on a ring, where only half the path is visible. This approach is useful in biophysics, optical traps, and even for financial time series.

For a particle on a ring with an asymmetric potential and a constant force, the estimate can reach 100% of the entropy production if the observables are chosen as the sine and cosine of a single spatial frequency and the potential is absent.

\hat{\sigma}_{A,B}(\tau) = \frac{2}{\tau} \frac{\chi_{A,B}(\tau)^2}{D_{A,B}(\tau)} \le \sigma
A lower estimate for the average entropy production rate, computed from the two-time correlation functions of observables A and B.
\hat{\sigma}_{A,B}(t) = \lim_{\tau \to 0} \frac{2}{\tau} \frac{\chi_{A,B}(t,\tau)^2}{D_{A,B}(t,\tau)} \le \sigma(t)
A lower estimate for the instantaneous entropy production rate in the limit of vanishing time lag.
\sigma^*_{A,B}(\tau) = \frac{2}{\tau} \frac{\chi_{A,B}(\tau)^2}{D_{A,B}(\tau) - \frac{3}{8} V^T(\tau) H^{-1}(\tau) V(\tau)}
The maximum value of the lower bound, achieved with an optimal choice of constant shifts of the observables.
Scientists
Ludwig BoltzmannRudolf ClausiusJacob BekensteinStephen HawkingJames Clerk MaxwellEdward Witten
Concepts
boltzmann entropy second law of thermodynamics enthalpy energy gap Boltzmann equation entropy entropic gravity zeroth law of thermodynamics Markov chain lagrangian thermodynamic stability Bekenstein bound non equilibrium state carnot limit correlation nonlinear dynamics ground state theorem on the monogamy of entanglement efficiency effective temperature