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Revisiting Entropy Production Principles

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Title: Revisiting Entropy Production Principles


1
Revisiting Entropy Production Principles
  • Karel Netocný
  • Institute of Physics AS CRSeminar at ITF,
    K.U.Leuven, 14 November 2007

2
To be discussed
  • Min- and Max-entropy production principles
    various examples
  • From variational principles to fluctuation laws
    equilibrium case
  • Static versus dynamical fluctuations
  • Onsager-Machlup equilibrium dynamical fluctuation
    theory
  • Stochastic models of nonequilibrium
  • Conclusions, open problems, outlook,...
  • In collaboration with C. Maes,
  • B. Wynants, and S. Bruers,
  • K. U. Leuven, Belgium

3
Motivation Modeling Earth climateOzawa et al,
Rev. Geoph. 41(4), 1018 (2003)
4
Linear electrical networks explaining
MinEP/MaxEP principles
  • Kirchhoffs loop law
  • Entropy production rate
  • MinEP principle
  • Stationary values of voltages
  • minimize the entropy
  • production rate
  • Not valid under inhomogeneous temperature!

5
Linear electrical networks explaining
MinEP/MaxEP principles
  • Kirchhoffs current law
  • Entropy production rate
  • Work done by sources
  • (Constrained) MaxEP principle
  • Stationary values of currents
  • maximize the entropy
  • production under constraint

6
Linear electrical networks summary of
MinEP/MaxEP principles
I
MaxEP principle Current law
Current law Loop law
U
Loop law MinEP principle
U, I
Generalized variational principle
7
From principles to fluctuation laws Questions
and ideas
  • How to go beyond approximate and ad hoc
    thermodynamical principles?
  • Inspiration from thermostatics
  • Is there a nonequilibrium analogy of
    thermodynamical fluctuation theory?

Equilibrium variational principles are intimately
related to the structure of equilibrium
fluctuations
8
From principles to fluctuation laws Equilibrium
fluctuations
add field
Probability of fluctuation
Typical value
The fluctuation made typical!
9
From principles to fluctuation laws Equilibrium
fluctuations
10
From principles to fluctuation laws Static
versus dynamical fluctuations
  • Empirical ergodic average
  • Ergodic theorem
  • Dynamical fluctuations
  • Interpolating between static and dynamical
    fluctuations

11
Effective model of macrofluctuationsOnsager-Machl
up theory
  • Dynamics
  • Equilibrium
  • Path distribution

12
Effective model of macrofluctuationsOnsager-Machl
up theory
  • Dynamics
  • Path distribution
  • Dynamical fluctuations
  • (Typical immediate) entropy production rate

13
Effective model of macrofluctuationsOnsager-Machl
up theory
  • Dynamics
  • Path distribution
  • Dynamical fluctuations
  • (Typical immediate) entropy production rate

14
Towards general theory
Equilibrium
Nonequilibrium
Closed Hamiltonian dynamics
Open Stochastic dynamics
Mesoscopic
Macroscopic
15
Linear electrical networks revisitedDynamical
fluctuations
  • Fluctuating dynamics
  • Johnson-Nyquist noise
  • Empirical ergodic average
  • Dynamical fluctuation law

white noise
16
Linear electrical networks revisitedDynamical
fluctuations
  • Fluctuating dynamics
  • Johnson-Nyquist noise
  • Empirical ergodic average
  • Dynamical fluctuation law

white noise
total dissipated heat
17
Stochastic models of nonequilibriumbreaking
detailed balance
  • Local detailed balance
  • Global detailed balance generally broken
  • Markov dynamics

18
Stochastic models of nonequilibriumbreaking
detailed balance
  • Local detailed balance
  • Global detailed balance generally broken
  • Markov dynamics

entropy change in the environment
19
Stochastic models of nonequilibriumbreaking
detailed balance
  • Local detailed balance
  • Global detailed balance generally broken
  • Markov dynamics

entropy change in the environment
breaking term
20
Stochastic models of nonequilibriumentropy
production
  • Entropy of the system
  • Entropy fluxes
  • Mean entropy production rate

21
Stochastic models of nonequilibriumentropy
production
  • Entropy of the system
  • Entropy fluxes
  • Mean entropy production rate

Warning Only for time-reversal symmetric
observables!
22
Stochastic models of nonequilibriumMinEP
principle
  • (Microscopic) MinEP principle
  • Can we again recognize entropy production as a
    fluctuation functional?

In the first order approximation around detailed
balance
23
Stochastic models of nonequilibriumdynamical
fluctuations
  • Empirical occupation times
  • Ergodic theorem
  • Fluctuation law for occupation times?
  • Note

natural variational functional
24
Stochastic models of nonequilibriumdynamical
fluctuations
  • Idea Make the empirical distribution typical by
    modifying dynamics
  • The field v is such that distribution p is
    stationary distribution for the modified
    dynamics
  • Comparing both processes yields the fluctuation
    law

25
Recall Equilibrium fluctuations
add field
Probability of fluctuation
Typical value
The fluctuation made typical!
26
Stochastic models of nonequilibriumdynamical
fluctuations
  • Idea Make the empirical distribution typical by
    modifying dynamics
  • The field v is such that distribution p is
    stationary distribution for the modified
    dynamics
  • Comparing both processes yields the fluctuation
    law

27
Stochastic models of nonequilibriumdynamical
fluctuations
Traffic mean dynamical activity
  • Idea Make the empirical distribution typical by
    modifying dynamics
  • The field v is such that distribution p is
    stationary distribution for the modified
    dynamics
  • Comparing both processes yields the fluctuation
    law

28
Stochastic models of nonequilibriumdynamical
fluctuations close to equilibrium
  • General observation
  • The variational functional is recognized as an
    approximate fluctuation functional
  • A consequence A natural way how to go beyond
    MinEP principle is to study various fluctuation
    laws
  • In the first order approximation around
  • detailed balance

29
Stochastic models of nonequilibriumdynamical
fluctuations close to equilibrium
  • General observation
  • The variational functional is recognized as an
    approximate fluctuation functional
  • A consequence A natural way how to go beyond
    MinEP principle is to study various fluctuation
    laws

In the first order approximation around detailed
balance
Empirical currents
y
-


x
30
Stochastic models of nonequilibriumdynamical
fluctuations close to equilibrium
Typically,
Fluctuation law
  • General observation
  • The variational functional is recognized as an
    approximate fluctuation functional
  • A consequence A natural way how to go beyond
    MinEP principle is to study various fluctuation
    laws

In the first order approximation around detailed
balance
  • with the fluctuation functional

Empirical currents
on stationary currents satisfying
y
-


x
31
Stochastic models of nonequilibriumdynamical
fluctuations close to equilibrium
Typically,
Fluctuation law
  • General observation
  • The variational functional is recognized as an
    approximate fluctuation functional
  • A consequence A natural way how to go beyond
    MinEP principle is to study various fluctuation
    laws

Entropy flux
In the first order approximation around detailed
balance
  • with the fluctuation functional

Empirical currents
on stationary currents satisfying
Onsager dissipation function
y
-


x
32
Stochastic models of nonequilibriumtowards
general fluctuation theory
  • It is useful to study the occupation time
    statistics and current statistics jointly
  • Joint occupation-current statistics has a
    canonical structure

Current potential function
Driving-parameterized dynamics
anti- symmetric
Reference equilibrium
Traffic
33
  • Canonical equations
  • It is useful to study the occupation time
    statistics and current statistics jointly
  • Joint occupation-current statistics has a
    canonical structure
  • Joint occupation-current fluctuation functional

Current potential function
Driving-parameterized dynamics
anti- symmetric
Reference equilibrium
Traffic
34
Stochastic models of nonequilibriumconsequences
of canonical formalism
  • Functional G describes (reference) equilibrium
    dynamical fluctuations
  • Fluctuation symmetry immediately follows
  • Symmetric (p) and antisymmetric (J) fluctuations
    are coupled away from equilibrium, but
  • for small fluctuations
  • close to equilibrium

Decoupling between p and J
35
General conclusionswhat we know
  • Both MinEP and MaxEP principles naturally follow
    from the fluctuation laws for empirical
    occupation times respectively for empirical
    currents
  • The validity of both principles is only
    restricted to the close-to-equilibrium and it is
    a consequence of
  • decoupling between time-symmetric and
    time-antisymmetric fluctuations
  • relation between traffic and entropy production
    for Markovian dynamics
  • Time-symmetric fluctuations are in general
    governed by traffic (nonperturbative result)
  • Joint occupation-current fluctuation has a
    general canonical structure

36
General conclusionswhat we would like to know
  • What is the operational meaning of new quantities
    (traffic,) emerging in the dynamical fluctuation
    theory?
  • Are there useful computational schemes for the
    fluctuation functionals and can one
    systematically improve on the EP principles
    beyond equilibrium?
  • Is there a more general theory possible, also
    including velocity-like degrees of freedom and
    non-Markov dynamics?
  • What is the relation between static and dynamical
    fluctuations?
  • Could the dynamical fluctuation theory be a
    useful approach towards building nonequilibrium
    thermodynamics beyond close-to-equilibrium?
  • and still many other things would be nice to
    know

37
References
  • C. Maes and K. Netocný, J. Math. Phys. 48053306
    (2007).
  • C. Maes and K. Netocný, Comptes Rendus Physique
    8591-597 (2007).
  • S. Bruers, C. Maes, and K. Netocný, J. Stat.
    Phys. 129725-740 (2007).
  • C. Maes and K. Netocný, cond-mat/0705.2344.
  • C. Maes, K. Netocný, and B. Wynants,
    cond-mat/0708.0489.
  • C. Maes, K. Netocný, and B. Wynants,
    condmat/0709.4327.

http//www.fzu.cz/netocny
38
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