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Daniel Karlsson, Lund
May, 2011, Naples
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Young Researchers’ meeting 1
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Why consider model systems?
Comparisons: can be solved exactly
Simplicity: clues about strong correlation, non-adiabaticity, memory effects
Complex: Can describe cold atoms in optical lattices
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Overview
TDDFT for the Hubbard model
xc-functionals for 3D systems
Linear response in the ALDA
Full time evolution: Benchmarking ALDA beyond the linear regime
Karlsson, Privitera, Verdozzi, PRL (2011)
Verdozzi, Karlsson, Puig, Almbladh, von Barth,
arXiv:1103.2291v1 (2011) (accepted by Chem. Phys.)
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Density Functional Theory (DFT)
Continous case: Hohenberg-Kohn (1964) Mapping between densities and potentials:
Lattice case: Gunnarsson, Schönhammer (1986)
Gunnarsson, Schönhammer , Noack (1995) Mapping between site occupancy and potentials:
n(x) ) v(x)
n ( x i ) ) v ( x i )
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Energy is split into several terms:
Continuous case: from homogeneous electron gas
Lattice case: Depends on coordination number!
1D: from homogeneous 1D Hubbard chain
3D simple cubic: Homogeneous 3D simple cubic
Other dimensionalities: Different Exc:s (surface different than bulk)
E [n] = T0 [n] + EH [n] +Rvextn + Exc[n]
Exc[n]
Exc[n]
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Reference systems in DFT
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Continuous case: Runge-Gross theorem (1984)
Lattice case: Theorem from continous case does not go through
Mapping in 1D due to TDCDFT
Open problem for D>1
Time Dependent DFT (TDDFT)
n(x; t) ) v(x; t)
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Lattice TDDFT
Verdozzi (2008): ALDA for 1D finite Hubbard cluster
Exc from 1D homogeneous Hubbard model: Exactly solvable by Bethe Ansatz
No exact solution for 3D
TDDFT for the Hubbard model
Hubbard model
vALDAxc [n](Ri; t) = vgsxc(n(Ri; t))
T̂ Û V̂ext
H = ¡ tX
hR R 0 i¾
a+
R ¾aR 0¾+
X
R
U R n̂ R " n̂ R # +
X
R ¾
w R ¾ ( t) n̂ R ¾
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Overview
TDDFT for the Hubbard model
xc-functionals for 3D systems
Linear response in the ALDA
Full time evolution: Benchmarking ALDA beyond the linear regime
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Dynamical Mean Field Theory (DMFT)
U Electron bath
time
• Hubbard model remapped into impurity model
• Infinite number of nearest neighbors: exact mapping
• Impurity model: Interacting impurity + reservoir of non-interacting electrons with effective parameters
•Non-perturbative in the interaction U: strong correlations possible
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Vxc discontinuous at half-filling density for high interaction, DFT manifestation of the Mott-Hubbard insulator transition
DMFT-LDA: Exchange-Correlation in 3D
Karlsson, Privitera, Verdozzi, PRL (2011)
Exc = EDM F T ¡ T0 ¡ EH
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Overview
TDDFT for the Hubbard model
xc-functionals for 3D systems
Linear response in the ALDA
Full time evolution: Benchmarking ALDA beyond the linear regime
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Linear response using ALDA Object of study: retarded density-density response
function for infinite 3D Hubbard model
In TDDFT:
 (R ; t) = ¡ iµ (t)h [ ~nR (t) ; ~n 0 (0 )]ig s
Â(q; !) =Â0(q; !)
1¡ (U + fxc)Â0(q; !)
 0 (q ; ! ) =2
(2¼ )3
Zd3kn F (²k ) ¡ n F (²k+ q )
²k ¡ ²k+ q + ! + i´
²k =¡2t(coskx +cosky +coskz)12
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Linear response: fxc from DMFT
fxc can become positive at densities close to half-filling
fxc
n
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Linear response: Reciprocal Space
Quarter-filling: lowers effective interaction
High filling: Positive fxc shifts poles to higher energies
q = ( ¼ ; 0 ; 0 )
q = ( ¼ ; ¼ ; 0 )
q = ( ¼ ; ¼ ; ¼ )
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n = 0 :5
n = 0 :8 5
n = 0 :5
n = 0 :5
¡=Â(q;!)
U = 8
U = 8
U = 8
f x c > 0
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Linear response: Double Occupancy
Double occupancy can be negative, in RPA and in ALDA
P a ram e te r s hn " n # iD M F T hn " n # i 0 hn " n # iR P A hn " n # iA LD AU = 8 ; n = 0 :5 0 .0 3 6 3 0 .0 6 2 -0 .0 1 0 -0 .0 0 7
U = 24 ; n = 0 :5 0 .0 1 6 1 0 .0 6 2 -0 .0 4 7 -0 .0 3 5
U = 8 ; n = 0 :8 5 0 .1 1 4 0 .1 7 8 0 .0 7 2 0 .0 5 9
Ta b le 1 : D o u b le o c c u p a n c ie s o b ta in ed from D M FT , c om p a re d a g a in st r e su lt s
from lin e a r r e sp o n se .
¡ 1¼
Z 1
0
=mÂ(R = 0;R0 = 0; !)d! = hni ¡ hni2 + 2hn"n#i
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Overview
TDDFT for the Hubbard model
xc-functionals for 3D systems
Linear response in the ALDA
Full time evolution: Benchmarking ALDA beyond the linear regime
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• Use the ground state vxc from DMFT, in the ALDA:
TDDFT time propagation:
DMFT-TDDFT vs exact in a 125-site cluster
Interaction and perturbation only in the center
U
U
Via symmetry, can be reduced to a 10-site effective cluster
vxc (R i ; t) ! vDM F Txc (n (R i ; t))
³T̂0 + v̂ef f (t)
´' i(t) = i¹h
d' i (t)
dt
Time-dependent Kohn-Sham:
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• Basic quantity: Single-particle Greens function: • Dyson Equation in time • Two times: Iterative time propagation on the time square to obtain non-equilibrium Green’s function
Kadanoff-Baym dynamics
Kadanoff and Baym (1962); Keldysh, JETP (1965); Danielewicz, AoP (1984) 18
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Many-Body Approximations
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2nd Born (BA), GW, Tmatrix (TMA)
• Includes non-local effects in space and time
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ALDA describes strong interaction better than KBE
TDDFT vs Kadanoff-Baym dynamics in 3D
U
Strong Gaussian potential
U = 8
U = 24
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TDDFT vs Kadanoff-Baym dynamics in 3D
U
KBE describes non-adiabatic response better than ALDA
U = 8
U = 8
Step potential
Weak
Strong
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• Linear response for 3D homogeneous Hubbard model:
• fxc can become positive at high densities
• Double occupancy can become negative in RPA and in ALDA
• Time evolution for finite 3D clusters:
• High interaction: Manageable by ALDA
• Non-adiabatic perturbations: non-local effects needed, non-equilibrium Green’s functions can help
Conclusions
Verdozzi, Karlsson, Puig, Almbladh, von Barth,
arXiv:1103.2291v1 (accepted by Chem. Phys.) 22
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DMFT-TDDFT vs exact in a 125-site cluster
U=8 U=8 U=8
U=24 U=24 U=24
Ne=40 Ne=40 Ne=70
ALDA performance good in a)-e) but worsens considerably in panel f) Why?
• a-e): exact vKS local. f): vKS non local; ALDA-DMFT misses non-locality
n0
n0
Vext
Karlsson, Privitera, Verdozzi, PRL (2010)
U
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Comparison between 1D and 3D Vxc
1D: Always a discontinuity for
3D: Discontinuity for
DMFT (3D)
BALDA (1D)
U=8
U=24
DMFT (3D)
BALDA (1D)
U > 0+
U > 13
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Mott plateaus in parabolic potential
Parabolic potential
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Mott plateaus: time evolution
Parabolic potential
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Linear response: Real space
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DMFT: Self-consistent scheme Schematics of DMFT
• Auxiliary AIM solved via
Lanczos diagonalisation
with N=8 (converged)
degrees of freedom
• Local occupancies/
potential energy from AIM
• Kinetic Energy from the
lattice Green’s function
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Weak interaction U
Weak field F
Damping
Weak interaction U
strong field F
Beatings with frequency U
Ponomarev, PhD thesis (2008)
Bloch Oscillations, example in 1D
Non-interacting: x = 2E
cos E t oscillations at ! = E
If constant electric field E applied, electrons oscillate in a periodic potential.
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Bloch oscillations in the 3D Hubbard model
•Semiclassically
• Center-of-mass:
• Interactions: Different phenomena: depending
on E and U, e.g. beatings and damped behavior
• Correct beating behavior observed, splitting • No clear signature of damping: non-adiabatic potentials needed
F
x =2
Ecos E t
• Cluster: 33 x 5 x 5
Karlsson, Privitera, Verdozzi PRL (2011) 31
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• Basic quantity
• Dyson Equation in time
• Conserving approximations: functional derivative of generating functionals
• In equilibrium,
• Time propagation on the time square
Kadanoff-Baym dynamics
Kadanoff and Baym (1962); Keldysh, JETP (1965); Danielewicz, AoP (1984)
Total energy, one-particle averages, Excitation energies with 1 particle
- Iteration of Dyson’s equation until convergence
- For building blocks of S: predictor corrector algorithm
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Kohn-Sham (1965): Construct fictitious non-interacting system, gives density of interacting system
Also possible in the lattice case.
The Kohn-Sham system
³T̂ + v̂ef f
´' i = ²i' i
Pocci=1
j'i(x)j2 = n(x)
v̂eff = v̂ext + v̂H + v̂xc
v̂xc =±Exc±n
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Linear response: F-sum rule
Test successfully performed in reciprocal space
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M(q) = ¡ 2¼
ZIm(Â0(q; !))!d! =
¡ 2(2¼)3
Zd3khcykcki(²(k+ q) + ²(k¡ q) ¡ 2²(k)):
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 = Â0 +Â0(U + fxc)Â
fxc(R;R0; t; t0) =
±vxc(R;t)
±nR0(t0)
fALDAxc (R;R0; t; t0) =
dvxc(nR(t))
dnR0 (t0)
fALDAxc (R;R0; t; t0) = v0xc(nR(t))±RR0±(t¡ t0) f ALDAxc (q ; ! ) = fxc
fxc =± vxc
±n
S(!) =1
2¼
Z 1
¡1hn(t)ni0ei!tdt Structure factor
Constant kernel
Details for linear response
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TDDFT: Drawbacks and advantages Time Dependent Density Functional Theory (TDDFT):
Advantages: Accurate Can treat large systems
Drawbacks: Describing strong correlation Non-adiabatic effects
Dynamical Mean Field Theory (DMFT):
Non-perturbative, can describe strong correlation
Kadanoff-Baym Dynamics (KBE): Able to treat memory effects
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References Daniel Karlsson, Antonio Privitera, Claudio Verdozzi, Phys. Rev. Lett. 106, 116401 (2011)
Claudio Verdozzi, Daniel Karlsson, Marc Puig von Friesen, Carl-Olof Almbladh, Ulf
von Barth; arXiv:1103.2291v1 (accepted by Chemical Physics)
Lima et al, PRL (2003)
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