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Fluctuation Relations of Dissipative Systems

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The grain is coupled with the heat bath at T=0. No detailed balance. T=0 ... the initial temperature and initial distribution. ... Beyond Markovian approximation ... – PowerPoint PPT presentation

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Title: Fluctuation Relations of Dissipative Systems


1
Fluctuation Relations of Dissipative Systems
Hisao Hayakawa (YITP, Kyoto University)
collaboration with Song-Ho Chong (IMS), Michio
Otsuki (Aoyama Gakuin Univ.)
YKIS 2009(2009/07/31)
2
This is the last talk .
  • I am sorry that I planned to talk on quantum
    systems, but I could not find time to fix it.
  • My talk discusses classical systems but it may be
    useful to think of properties of nonequilibrium
    steady state, generalized Green-Kubo formula,
    Markovian approximation, long tails, and memory
    effects etc.

3
Connection of each subject
Glass Transition
Granular Physics
Nonequilibrium Physics
Quantum Nonequilibrium Physics
Computational Physics
4
Contents
  • Introduction
  • Part I Sheared granular systems
  • Part II Fluctuation theorem and generalized
    Green-Kubo formula
  • Part III On initial condition
  • Part IV Liquid theory, Nonequilibrium MCT
  • Summary

5
Introduction
6
What is granular material?
  • Each grain is large and the heat can be absorbed
    in it.
  • The grain is coupled with the heat bath at T0.
  • No detailed balance

T0
7
The characteristics of granular materials
  • Granular materials are collection of dissipative
    macroscopic particles.
  • To discuss NESS (nonequilibrium steady state), we
    need input of the energy and dissipation.
  • We focus on statistical mechanics of sheared
    systems

H.Kuninaka and HH, PRE 2009
8
Can we describe granular or jammed materials by
the theory?
  • Yes, we can.
  • Liquid theory can describe
  • Generalized Green-Kubo formula
  • Integral Fluctuation Theorem
  • Markovian approximation
  • Long-time tail and long-range correlation
  • Nonequilibrium MCT
  • Jamming transition for dense granular materials

9
Part I
  • Fluctuation relations and generalized Green-Kubo
    in sheared granular liquids

10
Shear induced NESS
  • A balance between viscous heating and dissipation
    produces NESS.

T. Hatano (2008)
No detailed balance and no equilibrium state
Rayleighs dissipation function
stress tensor
11
Basic Equations (1)
  • SLLOD equations

Heaviside function represents range of
interaction
12
Basic Equations (2)
  • Liouville equation
  • Phase volume contraction
  • Rayleighs dissipation function

13
Transient time correlation function formalism
(Evans and Morriss, Statistical mechanics of
nonequilibrium liquids)
14
Liouville operator
15
Identities
  • Identities
  • Initial conditions

16
Kawasaki representation Jarzynski equality
  • Kawasaki representation
  • where
  • Thus

17
Integral FT and 2nd law
  • We can obtain integral FT

This represents a generalized 2nd law of
thermodynamics.
18
Generalized Green-Kubo formula
t-gt8
If
where we use ltOgt0
If there are no energy dissipation, it reduces to
19
We can apply this formulation to driven inelastic
Lorentz gas
  • Balance between driven force and dissipation can
    lead to a steady state.

20
Basic equations for Lorentz gas
Later OB can be replaced by O. Then, all
discussion of sheared granular systems can be
used.
21
Part III
  • On initial conditions

22
Comments on the initial condition
  • The expression seems to depend on the initial
    temperature and initial distribution.
  • However, when we assume mixing properties, we can
    prove
  • The result is independent of the initial
    temperature.
  • The result is independent of the choice of the
    distribution.

23
Independence of initial temperature for canonical
case
mixing
24
It is unnecessary that the initial condition
satisfies canonical distribution.
Two-body spatial correlation function
Time evolution of temperature
g(r)
We can prove this statement mathematically.
r
Red From the canonical distribution at
T4 Green From a freely cooling granular state
25
Irrelevancy of canonical initial condition
canonical distribution
26
Part IV
  • Correlation and Nonequilibrium MCT

27
Formulation of liquid theory of granular materials
  • Is the glass transition equivalent to jamming
    transition?
  • Cage effect is not important for granular
    liquids.
  • The plateau cannot be observed for granular
    liquids.

28
Zwanzig-Mori equation
  • Current-current correlation and current-density
    correlation are important as density-density
    correlation function in granular liquids, because
    the viscous force depends on the relative contact
    speed for granular materials.
  • Identities can be derived based on projection
    operator formalism.
  • Generalized Langevin equation

29
Equation of continuity
30
Projection operator formalism
  • Projection onto the density and the current

31
Contribution from viscous force (1)
32
Contribution from viscous force (2)
33
Memory kernels
34
Generalized noise
35
Time evolution of current
noise
36
Nearly elastic and weak shear case
37
Markovian approximation
  • The set of equations for the density and the
    current is fluctuating hydrodynamics.
  • Noise reduces to the random part of the stress
    tensor satisfying

38
Long-range momentum correlation (PRE 79, 021502)
The momentum correlation has clear a power-law
tail obeying r-5/3.
39
Long-time tails (J. STAT. MECH. in press)
40
Brief comments on correlations
  • There are long-range correlations and long-time
    tails for sheared granular liquids.
  • These are essentially same as those for sheared
    isothermal systems.
  • See e.g. M. Otsuki and HH, PRE 79, 021502 (2009)
    and J.STAT. MECH. (in press).

41
Beyond Markovian approximation
  • Memory kernels play important roles at least for
    glass transition.
  • Thus, we need a simple closure form of
    correlation functions.
  • Simplest one might be MCT which may correspond to
    RPA or Hatree-Fock approximation.
  • Map to slow variables.

42
Mode-coupling approximation
43
Mode-coupling equations revisted
  • It is possible to obtain a closed set of
    equations of correlation function under MCT
    approximation. I skip this because of its
    complicated form.
  • In equilibrium MCT is a closed equation for
    density correlation which describes the ideal
    glass transition, but in sheared granular systems
    correlations including current are also
    important.
  • Thus, plateau might disappear.

44
Discussion
  • To calculate Green-Kubo relation we should adopt
    some approximation such as MCT.
  • However, Markovian approximation recovers
    long-range correlation and long time tail.
  • Non-Markovian may describe jamming??
  • Not yet confirmed.

45
Summary
  • We have formulated a general framework to
    describe sheared granular liquids and driven
    inelastic Lorentz gas.
  • We obtain generalized Green-Kubo formula.
  • We also obtained the integral Fluctuation Theorem.

46
Thank you for your attention.
47
(No Transcript)
48
Closing address
Hisao Hayakawa (YITP, Kyoto University)
49
Schedule of Workshop
  • Granular Physics (July 21-24)
  • Physics of Glassy Materials (July 27-30)
  • YKIS Symposium (July31-Aug.1)
  • Nonequilibrium Statistical Mechanics (Aug.3-7)
  • Computational Physics (Aug.10-14)
  • Quantum Nonequilibrium Systems (Aug. 17-21)

50
Achievement of this long-term workshop
  • Intensive discussion among participants leads to
    mutual understanding.
  • I hope that collaborative works are initiated
    from this workshop.
  • Please acknowledge this workshop when the
    participants will write papers if this workshop
    helps the research.

51
Acknowledgment etc
  • Please return your keys.
  • Please do not forget to submit the paper (invited
    speakers).
  • I would like to thank Tomio to organize this week
    symposium.
  • I want to express my special thanks to Prof.
    Sudarshan.
  • Let us thank Ms. Yagi, Dr. Wada and students to
    support this workshop.

52
See you someday!
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