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Fluctuation-dissipation theorem microcanonical distribution

In this chapter we will extend the fluctuation-dissipation theorem for general equilibrium distributions. We will consider two typical equilibrium distributions. One is the superstatistical equilibrium distribution [13]. The other is the microcanonical equilibrium distribution. [Pg.354]

In Section II we will review thermodynamics and the fluctuation-dissipation theorem for excess heat production based on the Boltzmann equilibrium distribution. We will also mention the nonequilibrium work relation by Jarzynski. In Section III, we will extend the fluctuation-dissipation theorem for the superstatisitcal equilibrium distribution. The fluctuation-dissipation theorem can be written as a superposition of correlation functions with different temperatures. When the decay constant of a correlation function depends on temperature, we can expect various behaviors in the excess heat. In Section IV, we will consider the case of the microcanonical equilibrium distribution. We will numerically show the breaking of nonergodic adiabatic invariant in the mixed phase space. In the last section, we will conclude and comment. [Pg.355]

We will first consider the fluctuation-dissipation theorem for the microcanonical distribution. The microcanonical equilibrium distribution is given as... [Pg.361]

With regard to the microcanonical equilibrium distribution and the extension of the fluctuation-dissipation theorem, we considered a nonergodic adiabatic invariant in a simple Hamiltonian chaotic system. We numerically demonstrated the breaking of the nonergodic adiabatic invariant in the mixed phase space. The variance of the nonergodic adiabatic invariant can be considered as a measure for complexity of the mixed phase space. [Pg.368]


See other pages where Fluctuation-dissipation theorem microcanonical distribution is mentioned: [Pg.353]    [Pg.361]   
See also in sourсe #XX -- [ Pg.361 , Pg.362 ]

See also in sourсe #XX -- [ Pg.361 , Pg.362 ]




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