Spectral Function
The spectral function is the imaginary part of the retarded single-particle Green's function; it measures the probability density that adding or removing a particle of momentum costs energy . Key result: sharp delta-peaks for free/quasiparticle excitations broaden into Lorentzians of width (inverse lifetime) once interactions are switched on, while satisfying an exact sum rule. Where it applies: many-body quantum theory, condensed matter (ARPES, tunneling), quantum field theory (Källén–Lehmann), and operator/spectral theory in functional analysis. Who/when: Källén and Lehmann (1954), with roots in Lebesgue–Stieltjes spectral measures and the spectral theorem.
The spectral function is the central object that translates the abstract spectral content of a self-adjoint operator (or a correlation function) into an experimentally and physically transparent distribution over real energies. In many-body physics it is defined as , encoding where the true excitation energies of an interacting system lie and how much spectral weight each carries. It matters because virtually every spectroscopic experiment — photoemission, tunneling, neutron scattering — measures some convolution of a spectral function, and because it provides the bridge between the resolvent of an operator and a positive measure on . A surprising fact: even when interactions destroy individual particles as exact eigenstates, the total spectral weight at fixed momentum is rigorously conserved (the unit sum rule) — spectral weight can be redistributed but never created or destroyed.
The Core Insight
A resolvent is analytic off the real axis, and its discontinuity across the real axis is a positive measure — the spectral measure. The spectral function is the density of that measure. Equivalently: converts the analytic structure of a Green's function into a real, positive, normalized distribution telling you exactly which energies the system can absorb.
Formal Statement
Retarded Green's function and spectral function
For a many-body system with field operators , the retarded single-particle Green's function at temperature is
Its Fourier transform defines the spectral function:
Here is momentum, is the (real) excitation energy measured relative to the chemical potential , and the symbols are otherwise the operator algebra of the model.
Lehmann (spectral) representation
Inserting a complete set of exact eigenstates with energies gives the Lehmann representation
The Green's function itself is recovered by a Hilbert (Kramers–Kronig) transform:
Sum rule and positivity
The spectral function is non-negative and, for canonical (anti)commutation relations, normalized to unity:
Why It Holds / Derivation
From resolvent to positive measure
Step 1 — Spectral theorem. Any self-adjoint on a Hilbert space admits a projection-valued measure with . For a fixed vector , the scalar measure is a positive Borel measure on . Step 2 — Resolvent. The diagonal resolvent matrix element is the Stieltjes transform of :Harry Lehmann & Gunnar Källén | 1924–1998 / 1926–1968
Working independently around 1954, Lehmann and Källén derived the model-independent spectral representation of the two-point function in quantum field theory. By inserting a complete set of physical states between field operators, they expressed the propagator as a weighted integral over a positive spectral density supported on the mass spectrum. The Källén–Lehmann representation proved that the exact propagator's pole structure (one-particle states) and continuous part (multi-particle thresholds) are constrained by positivity and Lorentz invariance alone — independent of perturbation theory. Källén, a Swedish theorist of fierce rigor, and Lehmann, a pillar of the Hamburg axiomatic-QFT school, thereby gave the spectral function its enduring nonperturbative foundation.
Building Intuition
Think of injecting an electron of momentum into the system and asking: "what energy did that cost?" For a free particle the answer is sharp — energy exactly — so is a single delta-spike. Turn on interactions and the injected electron is no longer an eigenstate; it decays. The energy answer fuzzes out into a Lorentzian of width equal to the decay rate , centered on the renormalized energy. The area under the peak (the quasiparticle residue ) tells you what fraction of the original electron survives as a coherent quasiparticle; the rest of the unit sum-rule weight is smeared into an "incoherent background." In a Mott insulator or strongly correlated metal, and the peak dissolves entirely — there is no quasiparticle, only a broad continuum. The spectral function is thus the system's honest answer-sheet for "which excitations actually exist."
Free-particle delta-peak (gold) broadening into an interacting Lorentzian as the inverse lifetime grows
Worked Examples
Free fermion gas
Given: Non-interacting fermions with dispersion . The retarded Green's function is . Steps:- Apply Sokhotski–Plemelj: .
- Use definition [2]: .
- Check the sum rule: . ✓
Quasiparticle with finite lifetime
Given: An interacting metal where the self-energy near the Fermi surface is , with renormalized energy . Take and . Steps:- Dyson form: .
- Spectral function: — a Lorentzian.
- Peak height at : .
- FWHM ; lifetime .
Common Misconceptions
The spectral function is not a wavefunction and not generally a probability over a single particle's states. It is a spectral density — a measure. Its non-negativity and unit normalization make it look like a probability distribution over at fixed , and indeed it is the probability density for the energy cost of adding/removing a particle. But can be a sum of delta-functions plus a continuum; it has dimensions of inverse energy; and at finite it weights both particle addition and removal. Do not confuse (operator algebra) with (the occupation, which uses the Fermi function ). "A peak in always means a long-lived quasiparticle." False. In a Luttinger liquid (1D interacting fermions) or at a Mott transition, the spectral function can show power-law singularities or split into Hubbard bands with no Lorentzian quasiparticle pole at all — the residue . The spectral function is broad and structured, yet there is no underlying coherent particle: does not vanish like a Fermi liquid's , so no sharp pole forms. A feature in proves the system can absorb energy there, not that a particle-like excitation exists.Connections
The spectral function sits at the crossroads of several frameworks. In functional analysis it is the density of the Spectral Measure supplied by the Spectral Theorem for self-adjoint operators, recovered via Stieltjes Transform inversion. In field theory it is the Källén–Lehmann density constrained by Analyticity and Causality through Kramers–Kronig Relations (equation [4] is precisely a Hilbert transform). The bridge between and dynamics is the Dyson Equation via the self-energy , and the bridge to experiment is the Fluctuation-Dissipation Theorem, which relates to the imaginary part of response functions. The thermal occupation follows from convolving with the Fermi-Dirac Distribution.
Real-World Applications
- Angle-Resolved Photoemission (ARPES): measures directly — the gold standard for mapping band structures, Fermi surfaces, and quasiparticle lifetimes in cuprate superconductors and graphene.
- Scanning Tunneling Spectroscopy (STS/STM): the tunneling is proportional to the momentum-integrated (local) spectral function — the density of states — revealing energy gaps and impurity bound states.
- Dynamical Mean-Field Theory (DMFT): computes for strongly correlated materials, capturing the Mott transition and the three-peak (lower Hubbard / quasiparticle / upper Hubbard) structure.
- Neutron and X-ray scattering: the dynamic structure factor is the spectral function of density/spin correlators, mapping magnon and phonon dispersions.
- Lattice QCD: hadron spectral functions are extracted from imaginary-time correlators via the ill-posed analytic continuation (Maximum Entropy Method), probing the quark–gluon plasma.
- Cold-atom quantum simulators: radio-frequency (RF) spectroscopy of ultracold Fermi gases measures the spectral function of the unitary BEC–BCS crossover.
- Mott metal–insulator transitions: the collapse of the quasiparticle peak () in diagnoses the breakdown of Fermi-liquid theory in and organic conductors.
Historical Development
- 1929–1932: John von Neumann formalizes the spectral theorem for unbounded self-adjoint operators, supplying projection-valued (spectral) measures — the mathematical ancestor of the spectral function.
- 1932: Thomas Stieltjes' inversion formula (1894) is wedded to the resolvent, establishing that the discontinuity of across yields a positive measure.
- 1947–1949: Matsubara, Schwinger, and others develop Green's-function methods; the propagator's analytic structure becomes central.
- 1954: Gunnar Källén and, independently, Harry Lehmann derive the spectral (Källén–Lehmann) representation of the field-theoretic propagator with a positive spectral density.
- 1957: Landau formulates Fermi-liquid theory; the quasiparticle pole and residue acquire spectral-function meaning.
- 1959–1961: Abrikosov, Gor'kov, Dzyaloshinski and Kadanoff–Baym systematize the spectral representation in condensed-matter many-body theory; the sum rule [5] becomes standard.
- 1963: Hubbard introduces his model; the splitting of the spectral function into Hubbard bands is born.
- 1989–1996: Metzner, Vollhardt, Georges, and Kotliar develop DMFT, making computable for correlated electrons.
- 1990s–present: High-resolution ARPES turns into a directly imaged quantity, validating quasiparticle theory and exposing its breakdown in cuprates.
Subtleties & Limits
The reconstruction of from imaginary-time (Matsubara) data is a numerically ill-posed inverse problem: the kernel has exponentially small singular values, so tiny statistical noise in Quantum Monte Carlo data permits wildly different spectral functions. Maximum Entropy and stochastic analytic-continuation methods regularize this, but no method provably recovers sharp high-energy features without bias. Open questions remain over (i) the precise nature of spectral functions at quantum critical points, where scaling forms replace Lorentzians and the very notion of a quasiparticle dissolves; (ii) marginal and non-Fermi-liquid spectral lineshapes in the cuprate "strange metal," whose resists any controlled microscopic derivation; and (iii) the rigorous existence and analyticity of spectral densities for interacting relativistic QFTs beyond perturbation theory — part of the broader constructive field theory program.