Active matter and broken equilibrium relations
Derive enhanced diffusion from a persistent telegraph model, distinguish active transport from thermal mobility, and separate coarse-grained predictions from unresolved fuel dissipation.
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The question for today
What you’ll understand
- Derive a persistent-velocity contribution to long-time diffusion.
- Test the thermal Einstein relation without redefining temperature by assumption.
- Distinguish exact model consequences, experimental observations, and unresolved thermodynamic information.
An active particle converts an energy supply into persistent motion. Its long-time trajectory can look diffusive, yet its spreading need not be tied to thermal drag by the equilibrium Einstein relation. This makes active matter a useful endpoint for the module: stationary distributions, noise models, response, and entropy all require their assumptions to be revisited. We will derive a simple persistent-motion prediction exactly within its model, then distinguish that derivation from claims about real swimmers and their fuel consumption.
A persistent direction is an extra state variable
Consider a one-dimensional telegraph model with direction and speed v0. Direction flips from either sign to the other at rate alpha. This is explicitly a flip rate, not a tumble rate that may choose the same direction again. In the stationary equal-direction ensemble the correlation is . The factor two follows because either a forward or backward transition relaxes a direction imbalance. A different convention for random reorientation rates would produce a different parameter in the exponential.
Add passive mobility and thermal diffusion through , with independent thermal noise. For the passive bath, can still hold. The persistent propulsion is an additional nonequilibrium contribution rather than a change in that bath temperature. At zero force the ensemble mean displacement vanishes when the initial directions are equally probable, but each short trajectory can retain a preferred direction. Zero mean transport therefore does not make the propulsion equivalent to thermal white noise.
Short ballistic motion becomes enhanced diffusion
Integrating the velocity correlation twice gives the active contribution to displacement variance. At short times it grows as , expressing persistence, while the independent thermal part grows linearly. At times long compared with the persistence time, the active part becomes linear and adds to the effective diffusion coefficient. The noncommuting limits are instructive: setting alpha to zero first yields persistent ballistic motion, so the long-time diffusive formula cannot be used at zero flip rate.
Original experiments on chemically propelled colloids observed short-time directed motion and enhanced long-time spreading. That observation supports persistent active descriptions, but does not uniquely select this one-dimensional flip model or its numerical coefficient. Real swimmers rotate in two or three dimensions, interact with walls, and can change speed with fuel concentration. Their orientational correlation and the dimensional diffusion factors must be modeled or measured separately. The formula above is an exact deduction from stated ideal assumptions, not a parameter-free prediction for every experimental active particle.
An effective diffusion does not define a full thermodynamics
In this simple model a weak uniform force changes the mean drift by mu times F without altering the propulsion statistics. The ratio therefore exceeds the bath thermal energy whenever propulsion is nonzero. Calling that ratio an effective temperature is a limited parametrization of one transport comparison. It does not establish Boltzmann statistics in arbitrary traps, a universal fluctuation–dissipation relation, or standard thermal work identities for all active protocols. Such claims require additional derivations and can fail across observables or timescales.
The coarse-grained propulsion variable also omits chemical fuel and the mechanism that turns fuel into force. Position and direction trajectories alone may not determine the total physical entropy production. A full energetic model must identify reservoirs, fuel reactions, time-reversal rules, and hidden dissipation. Interacting active particles can display collective organization and phase separation in suitable models, but those phenomena do not follow from the single-particle formula alone. Separate exact consequences of a specified stochastic model from empirical observations and broader open questions about real active materials.
Work it through
Enhanced spreading with unchanged passive mobility
A telegraph swimmer has , , , and . Its bath has . Find persistence time, effective diffusion, and the ratio Deff/mu.
The direction correlation time is . The passive Einstein relation is consistent because .
The active diffusion contribution is . Adding the passive value gives .
The transport ratio is , seven times the actual bath thermal energy. This comparison does not measure a sevenfold increase of the bath temperature or determine chemical heat dissipation.
The persistence time is about 0.833 s and long-time diffusion is 1.40 square micrometres per second. The equilibrium Einstein relation fails for total active spreading despite remaining valid for the passive bath contribution.
The living notebook
Explore the model
Interactive lab · markov
Faster direction switching shortens memory
Reset and set BOTH Transition p = 0.2 and Transition q = 0.2, then Step once; predict state-1 probability 0.2. For a fresh comparison, Reset and set p = 0.4 and q = 0.4 and Step once; predict 0.4. Both approach equal stationary weights, but the second loses its initial state-0 bias faster.
- P(state 1) at step 0
- 0%
- Stationary P(state 1)
- 60%
- Chain behavior
- Monotone convergence
Exact finite-step probabilities for a two-state chain starting in state 0, not sampled trajectories. Playback advances two transitions per second. When p = q = 0 every distribution is stationary; when p = q = 1 the chain alternates forever. A single zero transition creates an absorbing state. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.
Look forThis is a discrete two-state probability model, not a continuous telegraph trajectory or active swimmer. Its transition probabilities are not physical flip rates, and it has no position, fuel, diffusion, or entropy-production readout.
Pause & reason
Check your understanding
Your turn
Try it yourself
A one-dimensional telegraph particle has , , and initial flip rate . Find Deff and persistence time before and after doubling alpha, with speed and thermal diffusion unchanged.
Take a moment to make a prediction or work it out on paper. Open a hint when you need one.
Give me a hint
Only the active term and persistence time scale inversely with flip rate. The passive diffusion contribution remains fixed.
Compare with the solution
Initially the active contribution is , so and . At , the active contribution is 1.5, total diffusion is , and persistence time is . Total diffusion does not exactly halve because its passive 0.1 contribution is unchanged. These comparisons concern separately specified steady models, not a continuously switched protocol.
Keep the idea
Take it with you
- Persistent active velocity adds a correlation-integral contribution to long-time diffusion.
- A diffusion–mobility ratio alone does not establish a universal thermodynamic temperature.
- Hidden propulsion mechanisms require extra information before total entropy production can be assigned.
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