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F. Debbasch

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Relativistic Stochastic Dynamics: A Review F. Debbasch LERMA-ERGA Universit Paris 6 The basic tool of Galilean stochastic models is Brownian motion If dxt = l dBt/t ... – PowerPoint PPT presentation

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Title: F. Debbasch


1
Relativistic Stochastic DynamicsA Review
  • F. Debbasch
  • LERMA-ERGA
  • Université Paris 6

2
  1. Why is the construction of relativistic
    stochastic dynamics a problem?
  2. Why is the construction of relativistic
    stochastic dynamics interesting?
  3. The Relativistic Ornstein-Uhlenbeck Process
    (ROUP)
  4. Special relativistic applications
  5. General relativistic applications
  6. Other relativistic stochastic processes
  7. Towards stochastic geometry

3
Why is the Construction of Relativistic
Stochastic Dynamics a Problem?
  • The basic tool of Galilean stochastic models is
    Brownian motion
  • If dxt l dBt/t
  • then
  • ?t n c D n with c

l2
2 t
4
  • If n (t 0, x) d (x), then, for all t gt 0,
  • n (t, x) G(t, x) exp ( - x2/4 c t)
  • ?
  • Faster than light particle (mass, energy)
  • transfer

5
Why is the Construction ofRelativistic
Stochastic DynamicsInteresting?
  • General theoretical interest
  • Practical problems involving special or general
    relativistic diffusions Plasma Physics,
    Astrophysics, Cosmology,
  • Toy model of relativistic irreversible behavior
  • Stochastic geometry

6
Standard Relativistic Fluid Models
Relativistic Boltzman Equation
Causal
Chapman-Enskog expansion
Grad expansion (No small parameter)
First order hydrodynamics (relativistic
Navier-Stokes model, )
Extended Thermodynamics
Causal, but contradicted by experiments
Non-causal
7
The Relativistic Ornstein-Uhlenbeck Process
(Debbasch, Mallick, Rivet, 1997)
  • Models the diffusion of a particle of mass m in a
    fluid characterized by a temperature and a
    velocity field
  • Simplest case Flat space-time. Uniform and
    constant fluid temperature and velocity
  • The rest-frame of the fluid is a preferred
    reference frame for the process i.e. the
    equations are a priori simpler in this frame
  • But the whole treatment is covariant

8
The Relativistic Ornstein-Uhlenbeck Process
Idea Brownian motion in momentum space
In flat space-time, for uniform and constant
fluid temperature and velocity fields
p
dxt
dt
m
in the rest frame of the fluid
dpt - a
p dt D dBt
9
The relativistic Ornstein-Uhlenbeck Process
Alternative definition via the transport equation
  • In flat space-time, for uniform and constant
    fluid temperature and velocity fields
  • In the rest frame of the fluid, dn P(t, x, p)
    d3x d3p and
  • P(t, x, p) verifies the forward Kolmogorov
    equation

D2
p
?tP ?x( P) ?p(-a(p)p P)
DpP
m g(p)
2
10
The Relativistic Ornstein-Uhlenbeck Process
Fluctuation-Dissipation Theorem
The coefficients a(p) and D are constrained by
imposing that the Jüttner distribution PJ(p) at
temperature q, PJ (p) exp(- b g(p) mc2), b
1/(kB q), is a solution of the transport
equation
a(p) a0/g(p)
D/a0 m kBq
and
11
The Relativistic Ornstein-Uhlenbeck process
General Transport Equation
(Barbachoux, Debbasch, Rivet, 2001, 2004)
  • Manifestly covariant formalism ? Extended phase
    space with (xm, pm) as coordinates
  • ? P(t, x, p)
  • Fluid characterized by U(x), a0(x) and D(x)
  • Basic objects
  • 1. Derivative with respect to p at constant
    x ?pm
  • 2. Derivative with respect to x at p covariantly
    constant Dm ?m Gb pb ?pa
  • 3. Projector Dmn (x) gmn(x) - Um(x)Un(x)

f(x, p)
ma
12
The Relativistic Ornstein-Uhlenbeck process
General Transport Equation
Kolmogorov equation reads L(f) 0 with
  • L(f) Dm (gmn(x)pnf) ?pm(mc Fm(x, p)f) N(f)
  • Fm(x, p)
  • ? lmn(x, p)

1
lab(x, p) papb pm- gab(x) papb lmn(x)pn
m2c2
2
mc
a0(x)
Dmn (x)
p.U(x)
13
The Relativistic Ornstein-Uhlenbeck
ProcessGeneral Transport Equation
2
D (x)
pmpb
  • N(f) Kmrbn (x) ?pr
  • Kmrbn(x) UmUbDrn - UmUnDrb

?pn f
2
p.U(x)
UrUnDmb - UrUbDmn
14
Special Relativistic ApplicationsNear-equilibriu
m, large-scale Diffusion
(Debbasch, Rivet, 1998)
  • The fluid has constant and uniform temperature ?
    and velocity field
  • Study in the proper frame of the fluid
  • Chapman-Enskog expansion of a near equilibrium
    situation
  • The diffusion is completely determined by the
    density n(t, x)

15
Near-equilibrium, large scale Special
Relativistic Diffusion
  • Microscopic time-scale t 1/a0
  • Microscopic length-scale l vth(q) t
  • Density n varies on characteristic scales T and
    L, t/T O(?), l/L O(?)
  • Then h e2
  • ?t n c D n with ?

l2
APPARENT PARADOX!
2t
16
Near-equilibrium, Large-Scale Special
Relativistic Diffusion Paradox Resolved
  • Green function G(t, x) of the diffusion equation
    G(0, x) d(x)
  • The conditions t/T O(?), l/L O(?) applied to
    G(t, x) lead to
  1. t gtgt t
  2. x /t ltlt c

17
General conclusion on relativistic irreversible
phenomena
  • In the local rest-frame of a continuous medium,
    all non-Galilean irreversible phenomena are
    microscopic
  • In the local rest-frame of a continuous medium,
    all macroscopic irreversible phenomena are
    Galilean
  • There can be no coherent relativistic
    hydrodynamics of viscous fluids
  • Purely relativistic irreversible phenomena can
    only be described through statistical physics,
    e.g. Boltzmann equation

18
General Relativistic Applications
(Rigotti, Debbasch, 2004, 2005)
  • Diffusion in an expanding universe
  • Diffusion around a black-hole, in an accretion
    disk,.
  • H-theorem
  • One can construct out of any two distributions f
    and h a conditional entropy current Sf/h
  • ?.Sf/h 0 in any Lorentzian space-time, even
    those with naked singularity and/or closed
    time-like curves
  • Are these space-times physical after all?

19
Other Relativistic Stochastic Processes
Intrinsic Brownian Motion
(Dudley, 1965/67 Dowker, Henson, Sorkin,
2004 Franchi, Le Jan, 2004)
  • The diffusing particle is NOT surrounded by a
    fluid
  • Possible physical cause of diffusion microscopic
    degrees of freedom of the space-time itself
  • In its proper frame, the equation of motion of
    the particle is at any proper time s
  • dp D dBs

20
Other Relativistic Stochastic Processes
Intrinsic Brownian Motion
  • The diffusion is at any (proper) time isotropic
    in the proper rest-frame of the particle
  • Main application, as of today Diffusion in the
    vacuum Schwarzschild space-time
  • Main conclusion The particle can enter the
    future Schwarzschild horizon and then escape the
    hole by crossing the past Schwarzschild horizon

21
Other Relativistic Stochastic Processes The
Relativistic Brownian Motion of Haenggi and
Dunkel (2004/5)
  • The particle is diffusing in an isotropic fluid
  • At any proper time, in the proper frame of the
    diffusing particle
  • dp - a(p) p ds D dBs
  • The coefficient a(p) is adjusted for the process
    to have the same equilibrium Jüttner distribution
    as the ROUP

22
Other Relativistic Stochastic Processes The
Relativistic Brownian Motion of Haenggi and
Dunkel (2004/5)
  • Main problem The diffusion in an isotropic fluid
    is characterized by two tensors (? a and D),
    which are not isotropic in the proper rest frame
    of this fluid, but in the instantaneous and
    therefore time-dependent proper frame of the
    diffusing particle
  • No construction in curved space-time (yet?)
  • No application (yet?)

23
Other Relativistic Stochastic Processes The
Relativistic Brownian Motion of Oron and
Horwitz (2003)
  • Special Relativistic model with both time-like
    and space-like trajectories for the diffusing
    particle
  • Diffusion equation replaced by dAlembert wave
    equation
  • No general relativistic extension, no application

24
Towards stochastic (classical) geometry Mean
field theory for General Relativity
(Debbasch, Chevalier, Ollivier, Bustamante,
2003/4/5)
  • Geometry is encoded in the metric g and the
    connection G
  • G Levi-Civitta connection of g
  • g is linked to the stress-energy tensor T by
    Einsteins equation
  • The whole theory is non-linear

25
Towards stochastic (classical) geometry Mean
field theory for General Relativity
  • Statistical ensembles of general relativistic
    space-times g(w), G(w), T(w)
  • Averaged motion of test matter motion in the
    mean field ? mean gravitational field described
    by
  • Metric g (x) lt g (x, w) gt
  • The Levi-Civitta connection of g, G? lt G gt

26
Towards stochastic (classical) geometry Mean
field theory for General Relativity
  • The mean metric and connection define through
    Einsteins equation the mean or apparent
    large-scale stress-energy tensor
  • T ? lt T gt
  • The separation between matter and gravitational
    field is scale-dependent
  • Similar effect on other gauge fields, which mix
    with charges upon averaging

27
Towards stochastic (classical) geometry Mean
field theory for General Relativity
  • In particular, a fluctuating vacuum space-time
    appears as filled with matter when observed on
    scales much larger than the fluctuation scales
  • Is this the origin of (part of the) dark energy?
  • Original idea by Debbasch (2003) recently
    developed pertubatively by Kolb et al. (2005)
  • Non perturbative astrophysical application
    presented by C. Chevalier at the Einstein
    Symposium (Paris, 2005)

28
Stochastic (classical) geometry
dg ? dG ? dT ?
29
The Future
  • Relativistic classical diffusion further
    applications
  • Relativistic quantum processes under
    construction
  • Classical stochastic geometry slow progress is
    being made
  • Quantum stochastic geometry ?

30
Other Relativistic Stochastic Processes The
Lorentz invariant diffusion process of Dowker,
Henson, Sorkin (2004)
  • Variant of the Haenggi-Dunkel process,
    interpreted as an intrinsic Brownian motion (no
    fluid)
  • dp - a0 p ds D dBs
  • No way of physically justifying the model
    (notably the dissipative term) since nothing is
    known of the microphysics
  • No general relativistic construction
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