Skip to content
Surf Wiki
Save to docs
general/special-functions

From Surf Wiki (app.surf) — the open knowledge base

Debye function

Mathematical function


Mathematical function

In mathematics, the family of Debye functions is defined by D_n(x) = \frac{n}{x^n} \int_0^x \frac{t^n}{e^t - 1},dt.

The functions are named in honor of Peter Debye, who came across this function (with n = 3) in 1912 when he analytically computed the heat capacity of what is now called the Debye model.

Mathematical properties

Relation to other functions

The Debye functions are closely related to the polylogarithm.

Series expansion

They have the series expansion D_n(x) = 1 - \frac{n}{2(n+1)} x + n \sum_{k=1}^\infty \frac{B_{2k}}{(2k+n)(2k)!} x^{2k}, \quad |x| where B_n is the n-th Bernoulli number.

Limiting values

\lim_{x \to 0} D_n(x) = 1. If \Gamma is the gamma function and \zeta is the Riemann zeta function, then, for x \gg 0, D_n(x) = \frac{n}{x^n} \int_0^x \frac{t^n,dt}{e^t-1} \sim \frac{n}{x^n}\Gamma(n + 1) \zeta(n + 1), \qquad \operatorname{Re} n 0,

Derivative

The derivative obeys the relation x D^{\prime}_n(x) = n \left(B(x) - D_n(x)\right), where B(x) = x/(e^x-1) is the Bernoulli function.

Applications in solid-state physics

The Debye model

The Debye model has a density of vibrational states g_\text{D}(\omega) = \frac{9\omega^2}{\omega_\text{D}^3} ,, \qquad 0\le\omega\le\omega_\text{D} with the Debye frequency ωD.

Internal energy and heat capacity

Inserting g into the internal energy U = \int_0^\infty d\omega,g(\omega),\hbar\omega,n(\omega) with the Bose–Einstein distribution n(\omega) = \frac{1}{\exp(\hbar\omega / k_\text{B} T)-1}. one obtains U = 3 k_\text{B}T , D_3(\hbar\omega_\text{D} / k_\text{B}T). The heat capacity is the derivative thereof.

Mean squared displacement

The intensity of X-ray diffraction or neutron diffraction at wavenumber q is given by the Debye-Waller factor or the Lamb-Mössbauer factor. For isotropic systems it takes the form \exp(-2W(q)) = \exp\left(-q^2\langle u_x^2\rangle\right). In this expression, the mean squared displacement refers to just once Cartesian component ux of the vector u that describes the displacement of atoms from their equilibrium positions. Assuming harmonicity and developing into normal modes, one obtains 2W(q) = \frac{\hbar^2 q^2}{6M k_\text{B}T} \int_0^\infty d\omega \frac{k_\text{B}T}{\hbar\omega}g(\omega) \coth\frac{\hbar\omega}{2k_\text{B}T}=\frac{\hbar^2 q^2}{6M k_\text{B}T} \int_0^\infty d\omega \frac{k_\text{B}T}{\hbar\omega} g(\omega) \left[\frac{2}{\exp(\hbar\omega/k_\text{B}T)-1}+1\right]. Inserting the density of states from the Debye model, one obtains 2W(q) = \frac{3}{2} \frac{\hbar^2 q^2}{M\hbar\omega_\text{D}} \left[2\left(\frac{k_\text{B}T}{\hbar\omega_\text{D}}\right) D_1{\left(\frac{\hbar\omega_\text{D}}{k_\text{B}T}\right)} + \frac{1}{2}\right]. From the above power series expansion of D_1 follows that the mean square displacement at high temperatures is linear in temperature 2W(q) = \frac{3 k_\text{B}T q^2}{M\omega_\text{D}^2}. The absence of \hbar indicates that this is a classical result. Because D_1(x) goes to zero for x \to \infty it follows that for T = 0 2W(q)=\frac{3}{4}\frac{\hbar^2 q^2}{M\hbar\omega_\text{D}} (zero-point motion).

References

Implementations

References

  1. {{AS ref. 27. 998
  2. (2015). "Table of Integrals, Series, and Products". [[Academic Press, Inc.]].
  3. Ashcroft & Mermin 1976, App. L,
Info: Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

Want to explore this topic further?

Ask Mako anything about Debye function — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report