CASINO manual - Theory of Condensed Matter
CASINO manual - Theory of Condensed Matter
CASINO manual - Theory of Condensed Matter
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
33.5 One-body density matrix, two-body density matrix and condensate<br />
fraction<br />
K eywords: onep density mat, twop density mat, cond fraction<br />
Density matrices are important tools to determine properties <strong>of</strong> systems, such as the phase <strong>of</strong> an<br />
electron–hole system.<br />
33.5.1 Definition <strong>of</strong> the density matrices<br />
The one-body density matrix (OBDM) is defined as<br />
∫<br />
2 Ψ(r |Ψ(R)| ′ 1 )<br />
α (r 1 ; r ′ Ψ(r<br />
1) = N dr 1) 2 . . . dr N<br />
α ∫<br />
|Ψ(R)| 2 dR<br />
ρ (1)<br />
, (390)<br />
and the two-body density matrix (TBDM) is<br />
∫<br />
2 Ψ(r |Ψ(R)| ′ 1 ,r′ 2 )<br />
ρ (2)<br />
αβ (r 1, r 2 ; r ′ 1, r ′ Ψ(r<br />
2) = N α (N β − δ αβ )<br />
dr 1,r 2) 3 . . . dr N<br />
∫<br />
|Ψ(R)| 2 dR<br />
, (391)<br />
where α and β are the spin indices (or particle indices, in general) corresponding to r 1 and r 2 ,<br />
respectively, and the irrelevant dependencies <strong>of</strong> the wave function have been omitted (i.e., Ψ(r ′ 1, r ′ 2) ≡<br />
Ψ(r ′ 1, r ′ 2, r 3 , . . . , r N )). Normalization is such that<br />
∑<br />
∫<br />
ρ (1)<br />
α (r 1 ; r ′ 1)δ(r 1 − r ′ 1)dr 1 dr ′ 1 = N , (392)<br />
α<br />
and<br />
∑<br />
∫<br />
αβ<br />
ρ (2)<br />
αβ (r 1, r 2 ; r ′ 1, r ′ 2)δ(r 1 − r ′ 1)δ(r 2 − r ′ 2)dr 1 dr 2 dr ′ 1dr ′ 2 = N(N − 1) . (393)<br />
We are interested in the QMC accumulation <strong>of</strong> the density matrices for the case <strong>of</strong> an isotropic,<br />
homogeneous system. Hence we require the translational and rotational average <strong>of</strong> Eqs. (390) and<br />
391. The translational average is<br />
and<br />
ρ (1)T<br />
α (r ′ ) = N α<br />
Ω<br />
∫<br />
2 |Ψ(R)|<br />
Ψ(r 1+r ′ )<br />
Ψ(r 1)<br />
dR<br />
∫<br />
|Ψ(R)| 2 , (394)<br />
dR<br />
∫<br />
ρ (2)T<br />
αβ (r′ ) = N 2<br />
α(N β − δ αβ ) |Ψ(R)|<br />
Ψ(r 1+r ′ ,r 2+r ′ )<br />
Ψ(r 1,r 2)<br />
dR<br />
Ω 2 ∫<br />
|Ψ(R)| 2 , (395)<br />
dR<br />
where Ω is the volume <strong>of</strong> the simulation cell. The rotational average <strong>of</strong> Eqs. (394) and (395) is<br />
ρ (1)T R<br />
α (r) = N α<br />
ΩS(r)<br />
∫<br />
2 |Ψ(R)|<br />
Ψ(r 1+r ′ )<br />
Ψ(r 1)<br />
δ(|r ′ | − r)dRdr ′<br />
∫<br />
|Ψ(R)| 2 , (396)<br />
dR<br />
and<br />
∫<br />
ρ (2)T R<br />
αβ<br />
(r) = N 2<br />
α(N β − δ αβ ) |Ψ(R)|<br />
Ψ(r 1+r ′ ,r 2+r ′ )<br />
Ψ(r 1,r 2)<br />
δ(|r ′ | − r)dRdr ′<br />
Ω 2 ∫<br />
S(r)<br />
|Ψ(R)| 2 , (397)<br />
dR<br />
where S(r) is 4πr 2 in 3D, 2πr in 2D and 1 in 1D.<br />
33.5.2 QMC accumulation<br />
The integral over R in Eqs. (394) and 395 can be approximated by a Monte Carlo average, using<br />
∫<br />
|Ψ(R)| 2 f(R)dR<br />
∫<br />
|Ψ(R)| 2 dR<br />
= 1 M<br />
M∑<br />
f(R i ) , (398)<br />
i=1<br />
193