Title: Revisiting Entropy Production Principles
1Revisiting Entropy Production Principles
- Karel Netocný
- Institute of Physics AS CRSeminar at ITF,
K.U.Leuven, 14 November 2007
2To 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
-
3Motivation Modeling Earth climateOzawa et al,
Rev. Geoph. 41(4), 1018 (2003)
4Linear 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!
5Linear 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
6Linear 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
7From 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
8From principles to fluctuation laws Equilibrium
fluctuations
add field
Probability of fluctuation
Typical value
The fluctuation made typical!
9From principles to fluctuation laws Equilibrium
fluctuations
10From principles to fluctuation laws Static
versus dynamical fluctuations
- Empirical ergodic average
- Ergodic theorem
- Dynamical fluctuations
- Interpolating between static and dynamical
fluctuations
11Effective model of macrofluctuationsOnsager-Machl
up theory
- Dynamics
- Equilibrium
- Path distribution
12Effective model of macrofluctuationsOnsager-Machl
up theory
- Dynamics
- Path distribution
- Dynamical fluctuations
- (Typical immediate) entropy production rate
13Effective model of macrofluctuationsOnsager-Machl
up theory
- Dynamics
- Path distribution
- Dynamical fluctuations
- (Typical immediate) entropy production rate
14Towards general theory
Equilibrium
Nonequilibrium
Closed Hamiltonian dynamics
Open Stochastic dynamics
Mesoscopic
Macroscopic
15Linear electrical networks revisitedDynamical
fluctuations
- Fluctuating dynamics
- Johnson-Nyquist noise
- Empirical ergodic average
- Dynamical fluctuation law
white noise
16Linear electrical networks revisitedDynamical
fluctuations
- Fluctuating dynamics
- Johnson-Nyquist noise
- Empirical ergodic average
- Dynamical fluctuation law
white noise
total dissipated heat
17Stochastic models of nonequilibriumbreaking
detailed balance
- Local detailed balance
- Global detailed balance generally broken
- Markov dynamics
18Stochastic models of nonequilibriumbreaking
detailed balance
- Local detailed balance
- Global detailed balance generally broken
- Markov dynamics
entropy change in the environment
19Stochastic models of nonequilibriumbreaking
detailed balance
- Local detailed balance
- Global detailed balance generally broken
- Markov dynamics
entropy change in the environment
breaking term
20Stochastic models of nonequilibriumentropy
production
- Entropy of the system
- Entropy fluxes
- Mean entropy production rate
21Stochastic models of nonequilibriumentropy
production
- Entropy of the system
- Entropy fluxes
- Mean entropy production rate
Warning Only for time-reversal symmetric
observables!
22Stochastic 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
23Stochastic models of nonequilibriumdynamical
fluctuations
- Empirical occupation times
- Ergodic theorem
- Fluctuation law for occupation times?
- Note
natural variational functional
24Stochastic 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
25Recall Equilibrium fluctuations
add field
Probability of fluctuation
Typical value
The fluctuation made typical!
26Stochastic 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
27Stochastic 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
28Stochastic 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
29Stochastic 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
30Stochastic 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
31Stochastic 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
32Stochastic 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- 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
34Stochastic 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
35General 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
36General 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
37References
- 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
38Thank You for Your Attention!