Abstract
The fluctuation-dissipation relation is a most remarkable classical result of statistical physics, which allows us to understand nonequilibrium properties of thermodynamic systems from observations of equilibrium phenomena. The modern transient fluctuation relations do the opposite: they allow us to understand equilibrium properties from nonequilibrium experiments. Under proper conditions, the transient relations turn into statements about nonequilibrium steady states, even far from equilibrium. The steady state relations, in turn, generalize the fluctuation-dissipation relations, as they reduce to them when approaching equilibrium. We will review the progress made since Einstein’s work on the Brownian motion, which gradually evolved from the theory of equilibrium macroscopic systems towards an ever deeper understanding of nonequilibrium phenomena, and is now shedding light on the physics of mesoscopic systems. In this evolution, the focus also shifted from small to large fluctuations, which nowadays constitute a unifying factor for different theories. We will conclude illustrating the recently introduced t-mixing property and discussing a fully general and simple response formula, which applies to deterministic dynamics and naturally extends the Green-Kubo theory.
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Notes
- 1.
- 2.
An exception is provided by gravitational waves detectors, whose resolution is so high that their thermal fluctuations are revealed [46].
- 3.
So that f R ∘ S t x = f R (S t x), with S t x the position of a Brownian particle initially in x, after a time t.
- 4.
There are various points of view on the significance of the random term f R . Some view Nature as intrinsically deterministic and randomness merely as the result of incomplete information. Others take the laws of Nature as ultimately stochastic, and determinism just as a convenient idealization in the description of certain phenomena. We adopt a pragmatic standpoint: mathematical models, whether stochastic or deterministic, are meant to describe non-exhaustively complementary features of natural phenomena. Depending on the feature of interest, one kind of model may be more convenient or may bear deeper insight than the other.
- 5.
At that time, the numerical value of N A was unknown.
- 6.
The terminology originates in the context of electrical circuits, where the power spectrum represents the electrical power dissipated at various frequencies.
- 7.
Except a negligible set of phase space points.
- 8.
In case of Hamiltonian dynamics, and more generally in the case of the so-called adiabatically incompressible systems, probabilities flow like incompressible fluids.
- 9.
Global solution means that particles do no cease to exist after a while; Uniqueness implies that the same particles do not exist at once along distinct trajectories. If these properties are violated, one typically concludes that the equations of motion do not suit the problem at hand.
- 10.
Concerning certain smooth, uniformly hyperbolic dynamical systems.
- 11.
The set E −δ Γ is defined by \(\{\varGamma \in \mathcal{M}: \varGamma +\delta \varGamma \in E\}\).
- 12.
Onsager and Machlup observe that (cf. Footnote 2 of Ref. [14]): “This statement is, of course, charged with meaning, and requires elaborate precautions about ergodicity, etc. It may be said to hold for systems which ‘forget’ their initial states in a ‘reasonably’ short time. It is, however, precisely the choice of time scale that matters. In a sufficiently long time, all physical systems ‘forget’.”
- 13.
An argument similar to that outlined in Sect. 4.4.1 applies if the dynamics is mixing with respect to other invariant densities.
- 14.
Something similar happens when the equilibrium thermodynamic entropy of a physical object is expressed by the equilibrium average of the logarithm of the equilibrium density, which is the Gibbs entropy.
- 15.
The analogy concerning the identification of the thermodynamic entropy with the Gibbs entropy continues: if the steady state is singular, the Gibbs entropy does not represent any thermodynamic entropy at all.
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Acknowledgements
This work has received funding from the European Research Council under the EU Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement n. 202680. The EU is not liable for any use made on the information contained herein.
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Adamo, P., Belousov, R., Rondoni, L. (2014). Fluctuation-Dissipation and Fluctuation Relations: From Equilibrium to Nonequilibrium and Back. In: Vulpiani, A., Cecconi, F., Cencini, M., Puglisi, A., Vergni, D. (eds) Large Deviations in Physics. Lecture Notes in Physics, vol 885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54251-0_4
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