scholarly journals Long-term behavior of Hertzian chains between fixed walls is really equilibrium

2017 ◽  
Vol 31 (10) ◽  
pp. 1742011 ◽  
Author(s):  
Michelle Przedborski ◽  
Surajit Sen ◽  
Thad A. Harroun

We examine the long-term behavior of nonintegrable, energy-conserved, 1D systems of macroscopic grains interacting via a contact-only generalized Hertz potential and held between stationary walls. Existing dynamical studies showed the absence of energy equipartitioning in such systems, hence their long-term dynamics was described as quasi-equilibrium. Here, we show that these systems do in fact reach thermal equilibrium at sufficiently long times, as indicated by the calculated heat capacity. This phase is described by equilibrium statistical mechanics, opening up the possibility that the machinery of nonequilibrium statistical mechanics may be used to understand the behavior of these systems away from equilibrium.

2012 ◽  
Vol 11 (03) ◽  
pp. 1241001 ◽  
Author(s):  
KUMIKO HAYASHI ◽  
RYUNOSUKE HAYASHI

F1-ATPase (F1) is a rotary motor protein in which the rotor γ subunit rotates in the α3β3 ring hydrolyzing adenosine-5′-triphosphate (ATP). Several fluctuation theories of nonequilibrium statistical mechanics have been applied recently to the single-molecule experiments on F1. For example, the fluctuation theorem, a recent achievement in the field of nonequilibrium statistical mechanics, has been suggested to be useful for measuring the rotary torque of F1. In this paper, we introduce F1 as a good biological model for experimentally testing the theories of nonequilibrium statistical mechanics.


1979 ◽  
Vol 57 (1) ◽  
pp. 23-38 ◽  
Author(s):  
Charles J. Lumsden ◽  
L. E. H. Trainor

Ensemble methods from nonequilibrium statistical mechanics are applied to certain self-organizing models important in biological physics. The investigation uses computer simulation and graphics techniques to analyze the dynamical properties of the nonequilibrium ensembles. Both short- and long-term evolutions are studied. Qualitatively new features of the 'biological statistical mechanics' relevant to each model are characterized, and significant conclusions are obtained regarding the applicability of methods from physical statistical mechanics in cross-disciplinary fields. Of particular interest is the need in such applications for principles of preferred states to replace the axioms of conserved equal a priori probabilities.


Author(s):  
Olivier Darrigol

This chapter recounts how Boltzmann reacted to Hermann Helmholtz’s analogy between thermodynamic systems and a special kind of mechanical system (the “monocyclic systems”) by grouping all attempts to relate thermodynamics to mechanics, including the kinetic-molecular analogy, into a family of partial analogies all derivable from what we would now call a microcanonical ensemble. At that time, Boltzmann regarded ensemble-based statistical mechanics as the royal road to the laws of thermal equilibrium (as we now do). In the same period, he returned to the Boltzmann equation and the H theorem in reply to Peter Guthrie Tait’s attack on the equipartition theorem. He also made a non-technical survey of the second law of thermodynamics seen as a law of probability increase.


2021 ◽  
Vol 1756 ◽  
pp. 147334
Author(s):  
Charles Budaszewski Pinto ◽  
Natividade de Sá Couto-Pereira ◽  
Felipe Kawa Odorcyk ◽  
Kamila Cagliari Zenki ◽  
Carla Dalmaz ◽  
...  

1997 ◽  
Vol 07 (11) ◽  
pp. 2487-2499 ◽  
Author(s):  
Rabbijah Guder ◽  
Edwin Kreuzer

In order to predict the long term behavior of nonlinear dynamical systems the generalized cell mapping is an efficient and powerful method for numerical analysis. For this reason it is of interest to know under what circumstances dynamical quantities of the generalized cell mapping (like persistent groups, stationary densities, …) reflect the dynamics of the system (attractors, invariant measures, …). In this article we develop such connections between the generalized cell mapping theory and the theory of nonlinear dynamical systems. We prove that the generalized cell mapping is a discretization of the Frobenius–Perron operator. By applying the results obtained for the Frobenius–Perron operator to the generalized cell mapping we outline for some classes of transformations that the stationary densities of the generalized cell mapping converges to an invariant measure of the system. Furthermore, we discuss what kind of measures and attractors can be approximated by this method.


2007 ◽  
Vol 133 (9) ◽  
pp. 1307-1315 ◽  
Author(s):  
M. Fragiacomo ◽  
R. M. Gutkowski ◽  
J. Balogh ◽  
R. S. Fast
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