I am trying to understand how the fluctuation–dissipation theorem applies to active matter.
I simulated a system with active motors which may consume energy from the environment to move and exert force on fibers.
All the chemical reactions have both positive on
and off
rates.
Assume I define a macroscopic physical quantity $x(t)$:
Is detailed balance preserved when applying FDT to the macroscopic order parameter, $x(t)$?
Do the fluctuations in $x(t)$ around its mean value $\langle x\rangle_0$ correspond to the power spectrum $S_x(\omega) = \langle \hat{x}(\omega)\hat{x}^*(\omega) \rangle$?
Is it still true to say that FDT relates $x$ to the imaginary part of the Fourier transform $\hat{\chi}(\omega)$ of the susceptibility $\chi(t)$ by:
$$S_x(\omega) = \frac{2 k_\mathrm{B} T}{\omega} \mathrm{Im}\,\hat{\chi}(\omega)$$
- Maybe the proper way to draw insight on such a system is to use detrended fluctuation analysis, is it right?