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Itinerant Spin Dynamics in Structures of ... - Jacobs University

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104 Chapter 5: <strong>Sp<strong>in</strong></strong> Hall Effect<br />

(a)<br />

(b)<br />

Figure 5.10: a)+b) Matrix element density function j(x,y) for a clean system with 70×70<br />

sites and pure Rashba SOC <strong>of</strong> strength α 2 = 1t us<strong>in</strong>g the analytical solution Eq.(5.20).<br />

As already mentioned, we can use the great benefit to replace the trace by an average over<br />

a number R ≪ D = 2×L 2 (the two is due to sp<strong>in</strong> degree <strong>of</strong> freedom) <strong>of</strong> random vectors,<br />

Eq.(5.39). Hav<strong>in</strong>g the µ mn calculated, we can reconstruct j(x,y) accord<strong>in</strong>g to Eq.(5.32),<br />

∞∑ µ mn h mn T m (x)T n (y)<br />

j(x,y) =<br />

π 2√ (1−x 2 )(1−y 2 ) , (5.65)<br />

m,n=0<br />

where we added normalization functions<br />

h mn =<br />

4<br />

(1+δ m,0 )(1+δ n,0 ) . (5.66)<br />

On a computer we have to replace the <strong>in</strong>f<strong>in</strong>ite sum with a f<strong>in</strong>ite one where only M momenta<br />

are taken <strong>in</strong>to account. To cure the mentioned appearance <strong>of</strong> Gibbs oscillations we use<br />

a convolution with a Jackson kernel, i.e. the coefficients µ mn are replaced by µ mn →<br />

µ mn g m (M)g n (M), with kernel-damp<strong>in</strong>g factors[WWAF06]<br />

g n (M) =<br />

(M −n+1)cos(<br />

πn<br />

M+1<br />

)<br />

+s<strong>in</strong>(<br />

πn<br />

M+1<br />

M +1<br />

The function j(x,y) for f<strong>in</strong>ite M is therefore given by<br />

j M (x,y) =<br />

M−1<br />

∑<br />

m,n=0<br />

) )<br />

cot(<br />

π<br />

M+1<br />

. (5.67)<br />

µ mn h mn g m (M)g n (M)T m (x)T n (y)<br />

π 2√ . (5.68)<br />

(1−x 2 )(1−y 2 )

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