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In statistical physics, frenesy is a measure of the dynamical activity of a system's microscopic trajectories under non-equilibrium conditions. [1] Frenesy complements the notion of entropy production (which measures time-antisymmetric aspects associated with irreversibility), and represents how frequently states are visited or how many transitions occur over time, as well as how busy the system's trajectories are. It relates to reactivities, escape rates, and residence times of a physical state.[ how? ]
The concept of frenesy was introduced in 2006 in the study of non-equilibrium processes. [1] [2] [3] In systems described by trajectory ensembles or path-space measures (e.g. originating in Markov processes or Langevin dynamics), frenesy is associated with the time-symmetric part of the action functional, containing trajectory-dependent terms such as escape rates, undirected traffic, and the total number of configuration changes. As with many physical observables, it is the change in frenesy that constitutes the relevant quantity, particularly in the context of non-equilibrium response theory. [4]
The role of dynamical activity in trajectory ensembles was explored in the study of large deviations. [5] [6] The specific need to address the time-symmetric fluctuation sector was explained in another 2006 paper by Christian Maes et al. [7] Previously, the concept had been discussed under the name "traffic". [8] [9] A year later, the term "frenetic" was introduced in the context of response theory. [10]
Mathematically, in a stochastic trajectory under local detailed balance, entropy production is tied to the asymmetry between forward and time-reversed paths, whereas frenesy quantifies the symmetric part that is invariant under time reversal. As such, it measures changes in dynamical activity or quiescence depending on the reference process and the level of description. [7]
Frenesy is used in the generalization of fluctuation-dissipation relations beyond equilibrium. In non-equilibrium steady states, the linear response of an observable depends on correlations with both entropy production and frenesy. This correction was proposed to describe response phenomena in systems driven far from equilibrium.[ citation needed ]
As an extension of Kubo and Green-Kubo formulas, non-equilibrium linear response theory allows the response to be decomposed into an "entropic" term and a "frenetic" term. The frenetic component is absent in equilibrium but becomes significant under external driving forces.[ citation needed ] This is evident in non-equilibrium modifications of the Sutherland-Einstein relation, where mobility is no longer determined solely by the diffusion matrix of the unperturbed system, but also includes force-current correlations. [11] The frenetic contribution can lead to negative responses, such as for differential mobility or non-equilibrium specific heats. This phenomenon, described as "pushing more for getting less", [12] is supported by similar theoretical considerations. [13] Frenetic effects also appear in second-order and higher-order nonlinear response expansions around equilibrium. [14] [15]
A frenetic contribution also appears in corrections to the fluctuation-dissipation relation of the second kind, known as the Einstein relation. The linear friction has an entropic and a frenetic part, where the entropic part is connected with the thermal noise. The frenetic part may be negative and dominating to the extent of rendering the friction negative. [16]
A van der Pol oscillator models oscillations with nonlinear amplification and damping. It has been used to model a biological heartbeat. Frenetic control may play a role in analysis of these systems. [17]