Spectral Representation of Green Functions
The spectral representation writes a Green function or resolvent in the basis that diagonalizes the Hamiltonian. It makes the central message visible:
Green functions know the spectrum because they are built from factors such as .
For a Hamiltonian , the resolvent is
The spectral theorem turns this into a sum or integral over spectral values. Poles, residues, branch cuts, and imaginary parts then encode bound states, continuum states, and densities of states.
Discrete Spectral Representation
Section titled “Discrete Spectral Representation”Suppose the Hamiltonian has a discrete spectral decomposition
where projects onto the eigenspace with energy . Then
If each eigenvalue is nondegenerate,
so
In coordinate representation,
Here . This formula is the energy-domain analogue of expanding a wavefunction in energy eigenstates.
Propagator Spectral Sum
Section titled “Propagator Spectral Sum”The time-domain propagator kernel has a related but different spectral representation:
The resolvent and propagator are both diagonal in the energy basis, but they apply different scalar functions to each energy:
while
This is the cleanest way to see why Green functions and propagator kernels are related but not identical.
Continuous Spectral Representation
Section titled “Continuous Spectral Representation”For a purely absolutely continuous spectrum, energy-normalized generalized eigenstates give the following identity resolution and integral. If bound states are also present, these continuum formulas describe only the absolutely continuous subspace: replace by its projector and add the bound-state projectors and resolvent terms separately. The Robin half-line propagator gives a concrete mixed-spectrum example. Singular continuous parts require the full spectral measure written below. In the energy-normalized notation,
where labels degeneracy or channels. The identity resolution is written formally as
Then
In coordinate representation,
This notation is convenient but formal. The rigorous version uses the projection-valued measure:
The generalized eigenfunctions, measures, and degeneracy labels depend on the problem and normalization convention.
Poles and Residues
Section titled “Poles and Residues”For an isolated bound-state energy ,
near . The pole identifies the energy, and the residue is the spectral projector:
For a coordinate-space Green function, the residue becomes
where is the degeneracy of the bound state. The residue is therefore not merely a number; it reconstructs the bound-state wavefunctions up to basis choices inside the degenerate subspace.
Spectral Density
Section titled “Spectral Density”For real , the boundary value
has an imaginary part tied to the spectral measure. The distribution identity
implies the formal operator relation
Here , interpreted through matrix elements or spectral measures. For a positive energy-bin function , is positive; this is the precise meaning of a positive operator spectral density. Different subfields define spectral functions with different factors, for example in common many-body conventions.
Relation to Density of States
Section titled “Relation to Density of States”The total density of states is formally
Using the spectral-density relation,
For a finite discrete spectrum,
where is the degeneracy. For infinite systems, one must specify whether is total, per unit volume, per unit cell, per spin species, or per other normalization. See Green Functions and Density of States for the Green-function derivation and Density of States for a compact formula reference.
QFT Spectral Representation Preview
Section titled “QFT Spectral Representation Preview”In field theory and many-body theory, Green functions are often correlation functions rather than one-particle wavefunction kernels. Spectral representations still express analytic structure through spectral weights, poles, cuts, and thresholds. Green Functions in Many-Body QM develops the nonrelativistic Lehmann representation, fermionic matrix positivity, occupation sum rule, and Matsubara bridge. Spectral Functions explains the cross-channel line-shape, quasiparticle, linewidth, and measured-intensity dictionary.
A schematic relativistic example is the Källén–Lehmann form:
Here denotes the free time-ordered two-point function with the same overall- convention as the left side. Assume a Poincaré-invariant vacuum, a scalar field with vanishing one-point function, and a positive-metric physical Hilbert space. Then records field overlaps with mass eigenstates and multiparticle continua; it is not an unweighted count of states. This is only a preview; QFT conventions add time ordering, Lorentz invariance, renormalization, and field normalization issues. The bridge entry is Green Functions.
From Correlation Functions to QFT Observables explains how poles, residues, thresholds, and operator overlaps enter mass extraction, response, and scattering.
Common Mistakes
Section titled “Common Mistakes”- Treating generalized eigenstates in a continuum as ordinary normalizable vectors.
- Forgetting degeneracy labels in spectral sums or integrals.
- Reading a continuum branch cut as if it were a single isolated pole.
- Dropping the prescription before taking imaginary parts.
- Confusing the density of states with an occupation probability.
- Comparing spectral functions across subfields without checking factors of , , and .
References
Section titled “References”- A. L. Fetter and J. D. Walecka, Quantum Theory of Many-Particle Systems, Dover, 2003.
- M. E. Peskin and D. V. Schroeder, An Introduction to Quantum Field Theory, Addison-Wesley, 1995.
- M. Reed and B. Simon, Methods of Modern Mathematical Physics I: Functional Analysis, revised and enlarged ed., Academic Press, 1980.
- J. J. Sakurai and J. Napolitano, Modern Quantum Mechanics, 3rd ed., Cambridge University Press, 2020.
- G. Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., American Mathematical Society, 2014.
Exercises
Section titled “Exercises”- For a nondegenerate discrete spectrum, derive the coordinate-space expression for from .
Solution
Insert position bras and kets:
Using and gives
- Use the distribution identity for to show why is a spectral-density operator.
Solution
The spectral representation is
Using
the imaginary part is
Thus
in the spectral-measure sense.
- Suppose an eigenvalue has degeneracy . What is the residue of at ?
Solution
The contribution of the degenerate eigenspace is
where
Therefore
- Why does the spectral representation of the propagator contain while the resolvent contains ?
Solution
Both objects are functions of the Hamiltonian. The time-evolution operator is , so each energy component is multiplied by . The resolvent is , so each energy component is multiplied by .