Bird Ideas

Density Of States

· tags: Condensed Matter, Physics

Density of Levels / Density of States

Motivation

How many electron states are available near a given energy?

One often needs to calculate quantities that are weighted sums over electron levels. These quantities have the form

\[ Q = 2 \sum_{n,\mathbf{k}} Q_n(\mathbf{k}) \]

where:

  • \(n\): band index

  • \(\mathbf{k}\): crystal wave vector

  • \(Q_n(\mathbf{k})\): property of the state \((n,\mathbf{k})\)

  • The factor \(2\) accounts for spin degeneracy.

For example, for the total energy,

\[ Q_n(\mathbf{k}) = \varepsilon_n(\mathbf{k}) f(\varepsilon_n(\mathbf{k})) \]

where \(f\) is the Fermi function.

For the total number of electrons,

\[ Q_n(\mathbf{k}) = f(\varepsilon_n(\mathbf{k})) \]


Replacing Sums by Integrals

For a macroscopic crystal, allowed values of \(\mathbf{k}\) are very closely spaced. Therefore, sums over \(\mathbf{k}\) can be replaced by integrals.

In 1D,

\[ \Delta k = \frac{2\pi}{L} \]

and

\[ \sum_k f(k) = \sum_{n=-\infty}^{\infty} f\left(\frac{2\pi}{L}n\right) \]

Insert

\[ 1 = \frac{\Delta k}{\Delta k} \]

so

\[ \sum_k f(k) \simeq \int_{-\infty}^{\infty} \frac{dk}{\Delta k} f(k) \]

Using

\[ \Delta k = \frac{2\pi}{L} \]

we obtain

\[ \sum_k f(k) \simeq \frac{L}{2\pi} \int_{-\infty}^{\infty} f(k)\,dk \]


In 3D

In three dimensions,

\[ \sum_{\mathbf{k}} f(\mathbf{k}) = \sum_{n_x,n_y,n_z} f\left( \frac{2\pi}{L}(n_x,n_y,n_z) \right) \]

Insert

\[ 1 = \frac{(\Delta k)^3}{(\Delta k)^3} \]

and recognize the 3D \(k\)-space volume element:

\[ \sum_{\mathbf{k}} f(\mathbf{k}) \simeq \frac{1}{(\Delta k)^3} \int f(\mathbf{k})\,d^3k \]

Since

\[ \Delta k = \frac{2\pi}{L} \]

we get

\[ \sum_{\mathbf{k}} f(\mathbf{k}) \simeq \frac{L^3}{(2\pi)^3} \int f(\mathbf{k})\,d^3k \]

Because \(V = L^3\),

\[ \sum_{\mathbf{k}} f(\mathbf{k}) \simeq \frac{V}{(2\pi)^3} \int f(\mathbf{k})\,d^3k \]

Therefore, per unit volume,

\[ q = \lim_{V\to\infty} \frac{Q}{V} \]

Using

\[ Q = 2\sum_{n,\mathbf{k}} Q_n(\mathbf{k}) \]

we obtain

\[ q = 2\sum_n \int_{\text{primitive cell}} \frac{d^3k}{(2\pi)^3} Q_n(\mathbf{k}) \]

The integral is over one primitive cell in reciprocal space, usually the first Brillouin zone.

Often,

\[ Q_n(\mathbf{k}) = Q(\varepsilon_n(\mathbf{k})) \]

Then the sum over \(k\)-states can be rewritten as an integral over energy:

\[ q = \int d\varepsilon \, g(\varepsilon) Q(\varepsilon) \]

where \(g(\varepsilon)\) is the density of states per unit volume.

Thus,

\[ g(\varepsilon)d\varepsilon \]

is the number of electron states per unit volume with energies between

\[ \varepsilon \]

and

\[ \varepsilon + d\varepsilon \]


Density of States

The total density of states is the sum over bands:

\[ g(\varepsilon) = \sum_n g_n(\varepsilon) \]

For band \(n\),

\[ g_n(\varepsilon) = \int \frac{d^3k}{4\pi^3} \delta\left( \varepsilon - \varepsilon_n(\mathbf{k}) \right) \]

Here,

\[ \frac{1}{4\pi^3} \]

comes from

\[ 2 \times \frac{1}{(2\pi)^3} \]

where the factor \(2\) is due to spin degeneracy.


Geometrical Interpretation

Another way to understand \(g_n(\varepsilon)\) is to work in \(k\)-space.

The equation

\[ \varepsilon_n(\mathbf{k}) = \varepsilon \]

defines a constant-energy surface,

\[ S_n(\varepsilon) \]

Similarly,

\[ \varepsilon_n(\mathbf{k}) = \varepsilon + d\varepsilon \]

defines a nearby surface,

\[ S_n(\varepsilon + d\varepsilon) \]

The states with energies between \(\varepsilon\) and \(\varepsilon+d\varepsilon\) lie in the thin shell between these two surfaces.

Therefore,

\[ g_n(\varepsilon)d\varepsilon = \text{volume of thin shell in \(k\)-space} \times \frac{1}{4\pi^3} \]

The shell volume is the thickness \(ds\) times the surface area element:

\[ g_n(\varepsilon)d\varepsilon = \int_{S_n(\varepsilon)} \frac{dS}{4\pi^3} ds \]

Since

\[ \nabla_{\mathbf{k}}\varepsilon_n(\mathbf{k}) \]

points perpendicular to the constant-energy surface, its magnitude tells how fast the energy changes.

For a small displacement \(ds\) normal to the surface,

\[ d\varepsilon = \left| \nabla_{\mathbf{k}}\varepsilon_n(\mathbf{k}) \right| ds \]

Therefore,

\[ ds = \frac{d\varepsilon} { \left| \nabla_{\mathbf{k}}\varepsilon_n(\mathbf{k}) \right| } \]

Substituting this gives

\[ g_n(\varepsilon) = \int_{S_n(\varepsilon)} \frac{dS}{4\pi^3} \frac{1} { \left| \nabla_{\mathbf{k}}\varepsilon_n(\mathbf{k}) \right| } \]

So flat bands give a larger density of states because

\[ \left| \nabla_{\mathbf{k}}\varepsilon_n(\mathbf{k}) \right| \]

is small.


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