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Transcript of Toulouse 2012
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RELAXATION AND ENERGYDISSIPATION IN TDCDFT
Roberto DAgostaUPV/EHU and Ikerbasque
San Sebastian
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RELAXATION IN QUANTUM MECHANICS
Common approach (effective non unitary time evolution, e.g.Caldeira-Leggett)
Time Dependent Density Functional Theory approach(Unitary Time Evolution)
How to introduce
a time arrow in aHamiltonianframework?
Answer: Thefunctional dependson the velocity eld
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The Kohn-Sham Hamiltonian for TDCDFT
The Vignale-Kohn exchange-correlation eld
In principle, exact time evolution of particle and current densities
H KS =
1
2m Xi [ pi
+ eA
(r, t
) + eA xc
(n, j
)]
2
+ Z V (r, t ) + V ALDAxc (r, t ) n (r, t )dr
edA
xc
dt =
xcn
v = jn
xc,ij = i v j + j v i 2
3 ij v + ij v
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THE KOHN-SHAM ENERGY FUNCTIONAL
dE
dt 0
t
dE dt
= Z j(r , t ) E xc(r , t ) dr e E xc (r , t ) = dA xcdt E [n ,
~
j] = h KS |
H KS | KS i
Z V hxc(r , t )n(r , t ) dr + E ALDAhxc [n]
We assume vanishing velocity at theboundaries
is NOT the total energy but gives a time arrow E
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Numerical results
~
> 0 , t < 0 ~
= 0 , t > 0
-L/2 -L/2
L/2
L/2
1D code no memory.For similar results in the case of
systems with memory look atH. Wijewardane and C. Ullrich, Phys. Rev. Lett. 95 , 086401 (2005)
Quantum Well
E i
E (t ) E 0 e t
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z
y
x
1D Quantum well in the z direction
2D electron gas in the (x,y) plane
Energy transfer from the motion in the z direction to the 2D electron gas
Energy transfer
By using standard time-dependent perturbation theory one can test theapproximations for the xc kernel.
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TIME EVOLUTION
Energy
conservationdE
dt + T (t )
dS
dt = 0Z
0
dE
dt + T (t )
dS
dt dt = 0
quasi-static
T (t ) = T i + s 2
[ E i E (t )]
dS
dt =
dS
dT
dT
dt = C V (T )
dT
dt
S (t ) = p 2 [ E i E (t )]
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CONCLUSION - 1
TDCDFT is able to capture the relaxation of a many-particle system to a statistical equilibrium
The corresponding time evolution is unitary and doesnot contain ad hoc parameters
At least in a simple case we are able to interpret the
Kohn-Sham energy as the maximum work one canextract from the system
TDCDFT offers a natural framework where to study the dynamical timeevolution of a many-particle system
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OPEN QUANTUM SYSTEMS
Van Kampen, Stochastic Processes in Physics and Chemistry
bath l(t )
The bath induces stochasticity and:
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OPEN QUANTUM SYSTEMS
Van Kampen, Stochastic Processes in Physics and Chemistry
bath l(t )
The bath induces stochasticity and:
is macroscopic
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OPEN QUANTUM SYSTEMS
Van Kampen, Stochastic Processes in Physics and Chemistry
bath l(t )
The bath induces stochasticity and:
is macroscopic
is unbiased
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OPEN QUANTUM SYSTEMS
Van Kampen, Stochastic Processes in Physics and Chemistry
bath l(t )
The bath induces stochasticity and:
l (t ) = 0
l (t )l (t ) = (t t )
V =
V (t ) is assigned
no feedback is macroscopic
is unbiased
has no memory
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Open Quantum Systems
bath l(t )
The system is in a mixed state and:
is out of equilibrium
is interacting
has memory
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Open Quantum Systems
bath l(t )
two formalisms
density matrixstochastic
Schrdinger eq.
The system is in a mixed state and:
is out of equilibrium
is interacting
has memory
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STOCHASTIC
SCHROEDINGER EQ.
t (r, t ) = i H (r, t ) 1
2V V (r, t ) + l(t )V (r, t )
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STOCHASTIC
SCHROEDINGER EQ.
t (r, t ) = i H (r, t ) 1
2V V (r, t ) + l(t )V (r, t )
dissipation uctuation
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STOCHASTIC
SCHROEDINGER EQ.
t (r, t ) = i H (r, t ) 1
2V V (r, t ) + l(t )V (r, t )
dissipation uctuation
(t ) =i
p i | i i |
...
1 | 1 2 | 2 M | M
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BOSE GAS IN A TRAP
Gross - Pitaevskii equation
i t (x, t ) = 12m
d2
dx 2 +
12
m 20 x2 + gn (x, t ) (x, t )
Davis, et al. PRL (2005),
Anderson, et al. Science (2005)
13
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1-D CONFINED BOSE GAS
V
0 1 1 1 . . .
0 0 0 0 . . ....
......
......
0 0 0 0 . . .
R. DAgosta and M. DiVentra PRB (2008)
.
..
E
E
E
E
Em 0
14
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1-D CONFINED BOSE GAS
V
0 1 1 1 . . .
0 0 0 0 . . ....
......
......
0 0 0 0 . . .
R. DAgosta and M. DiVentra PRB (2008)
.
..
E
E
E
E
Em 0
No interaction,g=0
14
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0 5 10 15 200
0.2
0.4
0.6
0.8
1single run10 runs50 runs100 runsdensity matrix
p 0
t! 0
0 5 10 15 200
0.04
0.08
t! 0
|p 0 -p0 |/p 0dm sse sse
1-D CONFINED BOSE GAS
V
0 1 1 1 . . .
0 0 0 0 . . ....
......
......
0 0 0 0 . . .
R. DAgosta and M. DiVentra PRB (2008)
.
..
E
E
E
E
Em 0
No interaction,g=0
14
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1-D CONFINED BOSE GAS
V
0 1 1 1 . . .
0 0 0 0 . . ....
......
......
0 0 0 0 . . .
R. DAgosta and M. DiVentra PRB (2008)
.
..
E
E
E
E
Em 0
No interaction,g=0
!!"#!"$!"%!"&!"'
!"#$"
()
* ,
!
!
!"#
!"$
!"%
!"#%
-)
* ,
!
.#' .#! .' ! ' #! #'!
!"#
!"$
,/, !
!"#"
0)
* ,
!
14
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Strong interaction
! "! #! $! %! &! '!!
!("
!(#
!($
!(%
!(&
!('
) * * + , -
. / 0 1 , 3 0
4 -
4 / 5 / . 6
, !
, "
. !
, #
1-D CONFINED BOSE GASR. DAgosta and M. Di VentraPRB (2008)
15
g/ 0 = 5
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Strong interaction
! "! #! $! %! &! '!!
!("
!(#
!($
!(%
!(&
!('
) * * + , -
. / 0 1 , 3 0
4 -
4 / 5 / . 6
, !
, "
. !
, #
1-D CONFINED BOSE GASR. DAgosta and M. Di VentraPRB (2008)
!" !# $ # "$
$%$&
$%'
$%'&
$%#
()*+,-.)/+
0,*1-. ! 3451/
676$
8 6
$
15
g/ 0 = 5
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SPIN CHAIN
0 50 100 150 200 250
time
-0.0015
-0.001
-0.0005
0
0.0005
0.001
0.0015
e n e r g y c u r r e n
t
j 2,
3 j 1,
2
L > R
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EQUATION OF MOTION
average over the stochastic eld
M .Di Ventra and R. DAgosta PRL (2007)
j (r, t )
t=
F (r, t )
m+ G (r, t ) +
1
mF ext (r, t )
R. DAgosta and M. Di Ventra PRB (2008)
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EQUATION OF MOTION
average over the stochastic eld
F (r, t ) = i = j
(r r i ) j U (r i r j ) + m (r, t )
internal forces
M .Di Ventra and R. DAgosta PRL (2007)
j (r, t )
t=
F (r, t )
m+ G (r, t ) +
1
mF ext (r, t )
R. DAgosta and M. Di Ventra PRB (2008)
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EQUATION OF MOTION
average over the stochastic eld
G (r, t ) =
V
j (r, t )
V
1
2 j (r, t )
V
V
1
2V
V
j (r, t )bath induced forces
M .Di Ventra and R. DAgosta PRL (2007)
j (r, t )
t=
F (r, t )
m+ G (r, t ) +
1
mF ext (r, t )
R. DAgosta and M. Di Ventra PRB (2008)
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EQUATION OF MOTION
average over the stochastic eld
F ext (r, t ) = n(r, t )
m t A ext (r, t )
j (r, t )m
[ A ext (r, t )]
external forces: driving elds
M .Di Ventra and R. DAgosta PRL (2007)
j (r, t )
t=
F (r, t )
m+ G (r, t ) +
1
mF ext (r, t )
R. DAgosta and M. Di Ventra PRB (2008)
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STOCHASTIC TD-CDFTGiven l(t ), V , (r, 0)
M. Di Ventra and R. DAgosta, PRL (2007)
A ext r, tR. DAgosta and M. Di Ventra, PRB (2008)
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STOCHASTIC TD-CDFTGiven l(t ), V , (r, 0)
M. Di Ventra and R. DAgosta, PRL (2007)
A ext r, tR. DAgosta and M. Di Ventra, PRB (2008)
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STOCHASTIC TD-CDFTGiven l(t ), V , (r, 0)
M. Di Ventra and R. DAgosta, PRL (2007)
A ext r, tR. DAgosta and M. Di Ventra, PRB (2008)
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A SURPRISING RESULT
The theorem of STCDFT does admit for the system to beclosed, i.e.we can set for the KS system
= 0
AKS (r, t ) = Aext (r, t ) + A xc [ j, 0 , V = 0]
Yuen-Zhou et al., PCCP 2009
Relaxation and dissipation in TDCDFT are described by a KSvector potential in a closed system!
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THANKS!