In thermal quantum field theory, bosonic and fermionic quantum fields are respectively periodic or antiperiodic in imaginary time , with periodicity . Matsubara summation refers to the technique of expanding these fields in Fourier series
The frequencies are called the Matsubara frequencies, taking values from either of the following sets (with ):
bosonic frequencies:
fermionic frequencies:
which respectively enforce periodic and antiperiodic boundary conditions on the field .
Once such substitutions have been made, certain diagrams contributing to the action take the form of a so-called Mastubara summation
The summation will converge if tends to 0 in limit in a manner faster than . The summation over bosonic frequencies is denoted as (with ), while that over fermionic frequencies is denoted as (with ). is the statistical sign.
In addition to thermal quantum field theory, the Matsubara frequency summation method also plays an essential role in the diagrammatic approach to solid-state physics, namely, if one considers the diagrams at finite temperature.[2][3][4]
Generally speaking, if at , a certain Feynman diagram is represented by an integral , at finite temperature it is given by the sum .
Summation formalism
General formalism
Figure 1.Figure 2.
The trick to evaluate Matsubara frequency summation is to use a Matsubara weighting function hη(z) that has simple poles located exactly at .[4] The weighting functions in the boson case η = +1 and fermion case η = −1 differ. The choice of weighting function will be discussed later. With the weighting function, the summation can be replaced by a contour integral surrounding the imaginary axis.
As in Fig. 1, the weighting function generates poles (red crosses) on the imaginary axis. The contour integral picks up the residue of these poles, which is equivalent to the summation. This procedure is sometimes called Sommerfeld-Watson transformation.[5]
By deformation of the contour lines to enclose the poles of g(z) (the green cross in Fig. 2), the summation can be formally accomplished by summing the residue of g(z)hη(z) over all poles of g(z),
Note that a minus sign is produced, because the contour is deformed to enclose the poles in the clockwise direction, resulting in the negative residue.
Choice of Matsubara weighting function
To produce simple poles on boson frequencies , either of the following two types of Matsubara weighting functions can be chosen
depending on which half plane the convergence is to be controlled in. controls the convergence in the left half plane (Re z < 0), while controls the convergence in the right half plane (Re z > 0). Here is the Bose–Einstein distribution function.
The case is similar for fermion frequencies. There are also two types of Matsubara weighting functions that produce simple poles at
controls the convergence in the left half plane (Re z < 0), while controls the convergence in the right half plane (Re z > 0). Here is the Fermi–Dirac distribution function.
In the application to Green's function calculation, g(z) always have the structure
which diverges in the left half plane given 0 < τ < β. So as to control the convergence, the weighting function of the first type is always chosen . However, there is no need to control the convergence if the Matsubara summation does not diverge. In that case, any choice of the Matsubara weighting function will lead to identical results.
Table of Matsubara frequency summations
The following table contains for some simple rational functions g(z). The symbol η = ±1 is the statistical sign, +1 for bosons and -1 for fermions.
[1]
[1]
[2]
[2]
[1] Since the summation does not converge, the result may differ upon different choice of the Matsubara weighting function.
[2] (1 ↔ 2) denotes the same expression as the before but with index 1 and 2 interchanged.
Applications in physics
Zero temperature limit
In this limit , the Matsubara frequency summation is equivalent to the integration of imaginary frequency over imaginary axis.
Some of the integrals do not converge. They should be regularized by introducing the frequency cutoff , and then subtracting the divergent part (-dependent) from the integral before taking the limit of . For example, the free energy is obtained by the integral of logarithm,
meaning that at zero temperature, the free energy simply relates to the internal energy below the chemical potential. Also the distribution function is obtained by the following integral
which shows step function behavior at zero temperature.
Green's function related
Time domain
Consider a function G(τ) defined on the imaginary time interval (0,β). It can be given in terms of Fourier series,
where the frequency only takes discrete values spaced by 2π/β.
The particular choice of frequency depends on the boundary condition of the function G(τ). In physics, G(τ) stands for the imaginary time representation of Green's function
It satisfies the periodic boundary condition G(τ+β)=G(τ) for a boson field. While for a fermion field the boundary condition is anti-periodic G(τ + β) = −G(τ).
Given the Green's function G(iω) in the frequency domain, its imaginary time representation G(τ) can be evaluated by Matsubara frequency summation. Depending on the boson or fermion frequencies that is to be summed over, the resulting G(τ) can be different. To distinguish, define
with
Note that τ is restricted in the principal interval (0,β). The boundary condition can be used to extend G(τ) out of the principal interval. Some frequently used results are concluded in the following table.
Operator switching effect
The small imaginary time plays a critical role here. The order of the operators will change if the small imaginary time changes sign.
Distribution function
The evaluation of distribution function becomes tricky because of the discontinuity of Green's function G(τ) at τ = 0. To evaluate the summation
both choices of the weighting function are acceptable, but the results are different. This can be understood if we push G(τ) away from τ = 0 a little bit, then to control the convergence, we must take as the weighting function for , and for .
Bosons
Fermions
Free energy
Bosons
Fermions
Diagram evaluations
Frequently encountered diagrams are evaluated here with the single mode setting. Multiple mode problems can be approached by a spectral function integral. Here is a fermionic Matsubara frequency, while is a bosonic Matsubara frequency.
Fermion self energy
Particle-hole bubble
Particle-particle bubble
Appendix: Properties of distribution functions
Distribution functions
The general notation stands for either Bose (η = +1) or Fermi (η = −1) distribution function
If necessary, the specific notations nB and nF are used to indicate Bose and Fermi distribution functions respectively
Relation to hyperbolic functions
The Bose distribution function is related to hyperbolic cotangent function by
The Fermi distribution function is related to hyperbolic tangent function by
Parity
Both distribution functions do not have definite parity,
Another formula is in terms of the function
However their derivatives have definite parity.
Bose–Fermi transmutation
Bose and Fermi distribution functions transmute under a shift of the variable by the fermionic frequency,
However shifting by bosonic frequencies does not make any difference.
Derivatives
First order
In terms of product:
In the zero temperature limit:
Second order
Formula of difference
Case a = 0
Case a → 0
Case b → 0
The function cη
Definition:
For Bose and Fermi type:
Relation to hyperbolic functions
It is obvious that is positive definite.
To avoid overflow in the numerical calculation, the tanh and coth functions are used
Agustin Nieto: Evaluating Sums over the Matsubara Frequencies. arXiv:hep-ph/9311210
Github repository: MatsubaraSum A Mathematica package for Matsubara frequency summation.
A. Taheridehkordi, S. Curnoe, J.P.F. LeBlanc: Algorithmic Matsubara Integration for Hubbard-like models.. arXiv:cond-mat/1808.05188
References
^Altland, Alexander; Simons, Ben D. (2010-03-11). Condensed Matter Field Theory. Cambridge University Press. doi:10.1017/cbo9780511789984. ISBN 978-0-521-76975-4.
^A. Abrikosov, L. Gor'kov, I. Dzyaloshinskii: Methods of Quantum Field Theory in Statistical Physics., New York, Dover Publ., 1975, ISBN 0-486-63228-8
^[Piers Coleman]: Introduction to Many-Body Physics., Cambridge University Press., 2015, ISBN 978-0-521-86488-6
^ abMahan, Gerald D. (2000). Many-particle physics (3rd ed.). New York: Kluwer Academic/Plenum Publishers. ISBN 0-306-46338-5. OCLC 43864386.
^Summation of series: Sommerfeld-Watson transformation, Lecture notes, M. G. Rozman