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Numerical Renormalization Group Calculations for Impurity ...

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3.2. Summary of the Basic Techniques 21<br />

NRG deals with those many electronic degrees of freedom in a certain sequence<br />

(iteratively). How do we distribute the huge number of electrons into a<br />

sequence of diagonalization steps? How can one describe the correlations among<br />

the electrons in different steps? Section 3.2.2 is devoted to answer the questions.<br />

3.2.2 Iterative diagonalization of a semi-infinite chain<br />

Let us start from the Hamiltonian with p = 0 Fourier components only.<br />

∑<br />

H = ε f f † −1σ f −1σ + Uf † −1↑ f −1↑f † −1↓ f −1↓ + ∑ ∑<br />

ξ n a † nσ a nσ<br />

σ<br />

σ n<br />

+ √ ∑<br />

η 0 (f −1σf † 0σ + f 0σf † −1σ ), (3.26)<br />

with<br />

σ<br />

f 0σ =<br />

η 0<br />

= ∑ n<br />

1 ∑<br />

√ ¯h n a nσ ,<br />

η0<br />

n<br />

¯h 2 n. (3.27)<br />

Now we drop the index p (= 0) from the conduction operators (a (†)<br />

0σ,n → a nσ).<br />

(†)<br />

The well-known Lanczos algorithm <strong>for</strong> converting matrices to a tridiagonal <strong>for</strong>m<br />

maps the Hamiltonian in Eq. (3.26) into a semi-infinite chain.<br />

∑<br />

H = ε f f −1σf † −1σ + Uf † −1↑ f −1↑f † −1↓ f −1↓ + √ ∑<br />

η 0 (f −1σf † 0σ + f 0σf † −1σ )<br />

+ ∑ σ<br />

σ<br />

∑<br />

n<br />

[<br />

]<br />

ε n f nσ † f nσ + t n (f nσ † f n+1σ + f † n+1σ f nσ)<br />

σ<br />

(3.28)<br />

where operators f nσ (†) (n = 1, 2, ...) are represented as a linear combination of<br />

conduction operators a (†)<br />

mσ by a real orthogonal trans<strong>for</strong>mation U (U T U = UU T =<br />

1, U ∗ = U):<br />

f nσ = ∑ U nm a mσ . (3.29)<br />

m<br />

The parameters of the semi-infinite chain are calculated recursively with the<br />

relations (Bulla, Lee, Tong and Vojta 2005),<br />

ε m<br />

= ∑ n<br />

ξ n U 2 mn ,<br />

t 2 m<br />

= ∑ n<br />

[(ξ n − ε m )U mn − t m−1 U m−1n ] 2 , (3.30)<br />

U m+1n = 1<br />

t m<br />

[(ξ n − ε m )U mn − t m−1 U m−1n ] ,

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