In General > s.a. quantum
field theory; quantum statistical mechanics;
statistical mechanics [approach to equilibrium].
* Idea: The study of
properties of non-equilibrium states
(find special states equivalent to canonical ensembles for equilibrium statistical
mechanics; Characterize them in terms of order/chaos, at various scales and
near/far
from equilibrium), and understand their dynamics (near-equilibrium transport
phenomena, the arrow
of time, for
which we need an irreversible, non-unitary evolution for
).
* History: XIX century,
Lord Kelvin; 1931, L Onsager proposed regression equations for evolution
of macroscopic
variables, in terms of thermodynamic forces; 1953, Onsager & Machlup added
white noise; Recently, computer simulations, e.g. using cellular automata (G
Jona-Lasinio, C Laudin & M-E Vares).
* Features: Far from
equilibrium a system can develop spontaneous ordered structures with specific
patterms (but there is no extremum principle to tell us which); This led us
not to believe anymore
in the "thermal death" of the universe.
* Tools: Intensive thermodynamic
parameters can be associated to additive conserved quantities (such as mass,
volume, ...) using a statistical approach in far-from-equilibrium steady-state
systems, under few assumptions and without a detailed balance requirement.
@ Books, overviews: Balescu 75, 97; Lavenda 85; Keizer 87; Brenig 89;
Eu 98; Gaspard 98; Ruelle PhyA(99);
Gorban & Karlin cm/03 [geometrical];
Ruelle PT(04)may
[rev]; Pokrovski EJP(05);
Abou Salem mp/06 [quantum,
and
thermodyamics]; Ebeling & Sokolov 05; Öttinger
05; Gaspard PhyA(06)
[rev]; Maes et al mp/07-ln;
Mazenko 07; Evans & Morriss 08 [liquids]; Ódor 08;
Streater
09 [stochastic
approach].
@ Framework, tools: Schlögl PRP(80)
[stochastic measures]; Gaveau & Schulman PLA(97)
[master equation]; Nieuwenhuizen cm/01-in;
Ghosh et al AJP(06)feb
[dynamical framework]; Bertin et al PRL(06)
[intensive parameters]; Astumian AJP(06)aug
[use of equilibrium theory]; Qiao a0709/PhyA
[based
on subdynamics]; de Almeida a0806 [quantum];
Bertini et al JSP(09)
[macroscopic description of driven diffusive systems]; Hernandez-Lemus & Estrada-Gil
EJTP-a0908 [and theory of stochastic processes].
Steady States
@ General references: Penrose & Coveney PRS(94),
Evans & Coveney PRS(95)
["canonical" non-equilibrium ensemble]; Rey-Bellet & Thomas CMP(02)
[convergence to equilibrium]; Barré et al PRL(02)
[as equilibrium of effective dynamics]; Dewar JPA(03)
[properties, and information theory]; Eckmann mp/03-in;
Sasa & Tasaki JSP(06); Zia & Schmittmann JPA(06)
[classification]; Maes & van Wieren PRL(06)
[time-symmetric fluctuations]; Taniguchi & Cohen JSP(07)
[Onsager-Machlup theory, fluctuation theorems]; Abou Salem mp/07 [fluctuations
of macroscopic observables]; Blythe PRL(08)
[reversibility and heat dissipation]; Taniguchi & Cohen JSP(08)
[thermodynamics
and fluctuations].
@ Examples: Piasecki & Soto PhyA(06)
[and approach]; Mazilu & Williams AJP(09)may
[two-temperature linear spin model]; Maes & Netocny a0911 [McLennan ensembles].
Related Topics > s.a. arrow
of time; Detailed Balance; ergodic
theory; generalized
thermodynamics [relativistic]; information.
* Phase
transitions: Non-equilibrium phase transitions are situations
in which system properties related to non-equilibrium phenomena, such as
transport phenomena, undergo sudden changes with the system's parameters;
> s.a. critical
phenomena.
@ Chaos: Dorfman 99; Klages 07 [and
fractal techniques]; > s.a. quantum chaos.
@ Entropy: Holian PRA(86);
Kandrup JMP(87);
Martyushev et al JPA(07),
Maes & Netocny JMP(07)
[minimum entropy production].
@ Other topics: Frieden et al PLA(02)
[and
Fisher information]; van Zon & Cohen PhyA(04)
[fluctuations]; Merkli CMP(01)mp/04 [positive
commutators, return to equilibrium]; Carati PhyA(05)
[entropies from time averages]; Bustamante et al PT(05)jul
[small systems]; Lucarini a0710 [response
to perturbations, causality]; González & Téllez JPA(09)
[organized-disorganized
state crossover]; Criado-Sancho et al PLA(09)
[flux fluctuation theorem and non-equilibrium
thermodynamic potential]; Cramer & Eisert a0911 [relaxation to Gaussin states].
> Examples of phenomena:
see dissipation; fokker-planck
equation; Relaxation; Self-Organization;
superconductivity;
temperature; Transport.
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send feedback and suggestions to bombelli at olemiss.edu – modified 16
nov
2009