Why the body remembers its past

Original: "Non-Markovian Entropy Dynamics in Living Systems from the Keldysh Formalism"
· Feiyi Liu, Min Guo, Hongwei Tan, Yang Wang
arXiv:2603.12184 · 2026-03-12 · CC BY 4.0 · 1 min
The entropy of a living organism is like a bathtub: first order grows, then it holds steady, and in old age it drains away, while the memory of the environment reshapes that bathtub.

The water level in a bathtub first rises, then holds steady, and then slowly drains away. Entropy, the measure of disorder, behaves the same way in a living organism. In childhood and youth the body puts things in order: cells divide, organs grow, entropy falls. In maturity order holds at roughly the same level. In old age disorder accumulates, and entropy rises until the system exhausts itself.

But this bathtub has a peculiarity. The water in it doesn't just sit there; it remembers what came before. The environment the organism interacts with leaves traces: chemical marks on DNA, accumulated damage. These traces don't vanish right away, and they shape the future. Researchers built a model in which such memory is woven into the mathematical description of life. It turned out that memory changes the shape of the bathtub: oscillations appear on the way down, a slow drift in the middle, and a steep rise with a long tail on the way up.

These changes can be spotted through one subtle signature. In a quiet system, random fluctuations and the response to an external influence are strictly linked. In living organisms this link breaks down, and the character of the breakdown reveals age: in youth low-frequency fluctuations are suppressed, while in old age they are amplified.

So the entropy bathtub turns from a simple metaphor into a tool. It shows that aging is not merely an accumulation of breakdowns, but a loss of the body's ability to resist slow failures. And the memory of the environment plays a key role in this.

In the model, the entropy bathtub is not universal: as the memory time increases, the aging curve acquires a long tail, which means the organism retains traces of its past order for longer after decay sets in.

X_{AB}(\omega) = \frac{S_{AB}(\omega)}{\coth(\omega/2T_{\mathrm{ref}})\chi''_{AB}(\omega)}
The ratio of the fluctuation spectrum to the dissipative part of the response, normalized to a reference temperature; deviation from unity signals nonequilibrium behavior.
\langle \dot{S}_{\mathrm{tot}} \rangle = \int_{-\infty}^{\infty} \frac{d\omega}{2\pi} \frac{\omega^2}{T} |\chi(\omega)|^2 [S_\xi(\omega) - 2T\,\mathrm{Re}\,\tilde{\gamma}(\omega)]
Entropy production is proportional to the violation of the fluctuation-dissipation theorem, weighted by the square of the susceptibility.
\tau_{\mathrm{rel}} \sim |\mu - \mu_c|^{-\nu}
Near the critical point, the relaxation time diverges as a power law, reflecting the slowing of dynamics during aging.
Scientists
Ludwig BoltzmannRudolf ClausiusJacob BekensteinStephen HawkingJames Clerk MaxwellEdward Witten
Concepts
boltzmann entropy ecosystem Dynamical Systems biological rhythm modeling natural variability enthalpy stochastic differential equations microorganism swimming dynamics Boltzmann equation biological stochastic dynamics entropy non equilibrium state thermal equilibrium fluctuation-dissipation theorem thermodynamics second law of thermodynamics Markov chain action lagrangian ecological resilience