Spectral Representation of Green's Functions
A self-adjoint differential operator — a Sturm–Liouville operator with its boundary conditions, a Schrödinger Hamiltonian, a Laplacian on a drum — is an infinite-dimensional matrix. Like any Hermitian matrix it is diagonal in its own eigenbasis, and once you can diagonalize a matrix you can invert it: divide each diagonal entry by its eigenvalue. The spectral representation of the Green's function is nothing more than that statement, written back in position space. The Green's function is the kernel of the resolvent , the operator that solves , and in the eigenbasis of it is the sum of eigenprojectors weighted by the inverse eigenvalue gaps . The payoff is that an analytic object — a resolvent, perfectly regular for off the spectrum — becomes a dictionary of spectral data. Every simple pole of in the complex -plane sits exactly at a discrete eigenvalue ; the residue there is precisely the projector onto that eigenmode. Where the spectrum is continuous the poles merge into a branch cut, and the discontinuity of across that cut is the density of states. Slide the probe along the real axis and blows up whenever it strikes an eigenvalue: the system resonates, and the residue names which mode is ringing. This one construction is the hinge between the classical Sturm–Liouville theory of two-point boundary-value problems — where is glued together from two solutions and a jump condition — and the operator language of resolvents that runs through quantum mechanics and quantum field theory. The same has a closed two-solution form and an infinite eigenfunction series, and their equality is a genuine, useful theorem, proved by a contour integral.
- The Green's function of a self-adjoint operator is the kernel of its inverse, the resolvent ; in the eigenbasis the resolvent is diagonal, so is a sum of eigenprojectors over inverse eigenvalue gaps.
- For a discrete spectrum, — a simple pole at every eigenvalue, with residue , the eigenprojector kernel.
- The resolvent is analytic in except on the spectrum: poles mark the discrete spectrum, a branch cut marks the continuous spectrum.
- Closing a contour around the whole spectrum turns back into the completeness relation — completeness and are the same projectors, unweighted versus weighted.
- Across a continuum the discontinuity of gives the local density of states, ; for the free line this is the van Hove form .
- The same has a closed Sturm–Liouville form and an eigenfunction series; a Mittag–Leffler expansion in proves they are equal.
- Key idea: the Green's function is the resolvent kernel , and in the eigenbasis of a self-adjoint the resolvent is diagonal with entries — so is a sum of eigenprojectors weighted by inverse eigenvalue gaps, with poles on the discrete spectrum and a cut on the continuous spectrum.
Where this lives today
The spectral representation is the working engine of modern condensed-matter and many-body physics, because the one quantity you can actually measure is the density of states — the discontinuity of across its cut. A scanning tunnelling microscope does exactly equation (8) experimentally: the tunnelling conductance at position and bias is proportional to the local density of states , so an STM map is a direct image of summed over energy. In mesoscopic transport the recursive Green's function method and the non-equilibrium Green's function (NEGF) formalism compute conductance through nanostructures by building the resolvent of a tight-binding Hamiltonian slice by slice; the Landauer–Büttiker conductance is a trace of products of these 's. Dynamical mean-field theory (DMFT) attacks strongly correlated materials by solving self-consistently for the interacting single-particle Green's function, whose spectral function shows quasiparticle poles turning into incoherent continua as correlations grow. And in lattice quantum chromodynamics, the same Källén–Lehmann spectral representation is inverted numerically — an ill-posed problem tackled with maximum-entropy and Bayesian methods — to pull hadron masses and transport coefficients out of Euclidean correlators. In every case the physics lives in the analytic structure: a sharp pole is a stable particle or bound state, a broadened pole is a resonance or quasiparticle, and a cut is a continuum.
The physical picture
Think of as a matrix you have already diagonalized. Its eigenvectors are the eigenfunctions , its eigenvalues the numbers . Inverting is then trivial in this basis: each eigenvalue maps to . Rotate that diagonal inverse back into position space and you have the Green's function, — the literal infinite-dimensional analogue of the finite-matrix identity . The spectral parameter is a probe you sweep; wherever it lands on an eigenvalue, one denominator vanishes and diverges. That divergence, seen in the complex plane, is a pole, and the first figure is the map of where those poles and cuts sit.
The completeness relation and the Green's function are two readings of the same projectors. Add up every eigenprojector with no weight and you get , the identity resolved in position space. Add up the same projectors each weighted by and you get . A single contour that encircles the whole spectrum and sums the residues carries you from one to the other. When the spectrum turns continuous the discrete spikes smear into a branch cut, and the jump in across that cut — its imaginary part just above the real axis — is the density of states, the number of modes per unit . The second figure makes that density concrete for the simplest possible case, the free particle on a line.
The core equations
The starting point is a definition: the Green's function is the kernel that inverts . Feeding it a point source returns the response of the operator to a unit disturbance at , so solves the inhomogeneous equation with a delta on the right.
where: — self-adjoint differential operator (e.g. Sturm–Liouville); — complex spectral parameter; — Green's function, the kernel of ; — Dirac delta, the identity kernel. Reading: is the resolvent written in position space, and the whole article studies its behaviour as moves through the complex plane. Everything spectral rests on the eigenvalue problem for under its boundary conditions. Self-adjointness forces the eigenvalues to be real and the eigenfunctions to be orthonormal with respect to the Sturm–Liouville weight .
where: — -th eigenfunction obeying the boundary conditions; — -th real eigenvalue (real because ); — Sturm–Liouville weight. Reading: real eigenvalues are what will place the poles of on the real -axis. For a regular Sturm–Liouville problem the eigenfunctions are complete: they resolve the identity. This closure relation is the single fact that makes the eigenfunction expansion of legitimate.
where: the left side is the resolution of the identity in position space. Reading: summing every eigenprojector with unit weight rebuilds the delta — this is 's completeness twin, recovered later by a contour. Combining the definition with completeness gives the headline result. The Green's function is the eigenprojector sum weighted by the inverse eigenvalue gap — poles wherever meets an eigenvalue.
where: — the gap from the probe to the -th eigenvalue; it vanishes at a pole. Reading: near a single term dominates and the system rings in the mode . The same statement, stripped of the position labels, is an operator identity: the resolvent is a weighted sum of orthogonal eigenprojectors, manifestly analytic in everywhere except on the spectrum.
where: — orthogonal projector onto the -th eigenspace; — resolvent operator, analytic off the spectrum. Reading: this is the operator form the whole chapter turns on; equation (4) is its position-space kernel. The residue of at a pole is not just a number but a whole projector kernel. It reads off the eigenfunction responsible for the resonance at .
where: — residue in the complex -plane; the minus sign comes from . Reading: the analytic data (a residue) equals the spectral data (an eigenprojector) — the article's central identity. Sum those residues over a contour enclosing the entire spectrum and the weights disappear, returning completeness. This closes the loop between and the delta.
where: — a large contour encircling the whole spectrum, traversed counterclockwise. Reading: each residue contributes , and the undoes the sign and factor, leaving the closure relation (3). When the spectrum is continuous the poles fuse into a branch cut and the useful quantity is the discontinuity across it: the local density of states. Approaching the real axis from above and taking the imaginary part counts the modes.
where: — local (spectral) density of states at ; — infinitesimal approach from the upper half-plane. Reading: with the convention used here, , so is manifestly non-negative. (In terms of the physicists' retarded resolvent , the same statement is the familiar .) Finally, before diagonalizing anything, can be built directly from two solutions of the homogeneous equation — one obeying each boundary condition — glued at . This is the classical Sturm–Liouville form.
where: — solutions of obeying the left/right boundary conditions; — the lesser/greater of ; — the coefficient of the highest derivative in Sturm–Liouville form; — their Wronskian. Reading: Abel's theorem makes constant in ; the explicit minus sign makes positive for the box below, and is exactly the pole condition.
The goal is to derive the spectral sum (4) from the ground up, using only the completeness of the eigenfunctions and the eigenvalue equation, so that the poles-at-eigenvalues structure appears as a forced consequence rather than an assertion. The strategy is the standard one for inverting a matrix in its own eigenbasis: expand the unknown over the complete set , act with term by term, and project out the coefficients with orthonormality. Every step is elementary; the point is that completeness is doing all the work.
Step 1. Because is complete, expand in the source variable: , with coefficients that still depend on the source point and on . Why: any function of can be written this way, so no generality is lost — the whole problem is now to find the numbers .
Step 2. Apply and use inside the sum: . Why: differentiation acts term by term on the eigenfunctions, converting the operator into multiplication by the eigenvalue gap — this is exactly "the operator is diagonal in its eigenbasis".
Step 3. Multiply by and integrate over . Orthonormality collapses the left side to a single term, and the sifting property of the delta evaluates the right side: . Why: projecting onto isolates one coefficient, turning an infinite system into one algebraic equation per mode.
Step 4. Solve, , and substitute back into Step 1 to get . Why: the denominator is where the construction fails — at the coefficient blows up, which is the resolvent's pole and the Fredholm obstruction rolled into one. *Check: acting with on the result returns by completeness (3), confirming the derivation is self-consistent.*
Go deeper · Derivation B · 2 minEquivalence of the closed-form and spectral Green's functions
The goal is to prove that the classical two-solution Green's function of equation (9) and the eigenfunction series of equation (4) are literally the same function — a theorem, not a coincidence — by comparing their analytic structure in the complex -plane. The strategy is Mittag–Leffler: show the closed form is meromorphic in with simple poles exactly at the eigenvalues, compute the residue at each pole, and observe that a function determined by its poles must equal the sum of its principal parts. This is the bridge between boundary-value theory and operator theory.
Step 1. Build from solutions of the homogeneous equation : let obey the left boundary condition and the right, so their -dependent Wronskian measures how far they are from being proportional. The jump condition from integrating across , namely , fixes the normalization and yields the closed form (9). Why: two boundary conditions plus one jump uniquely determine off the spectrum, giving a formula valid before any eigenvalue is known.
Step 2. Locate the poles: the closed form is singular precisely when . But means — a single solution satisfies both boundary conditions at once, which is the definition of an eigenfunction with eigenvalue . Why: the Wronskian is the determinant of the boundary-value problem; its zeros are the eigenvalues, so the analytic singularities of coincide with the spectrum.
Step 3. Evaluate the residue. Near , , and at both solutions collapse onto . The Wronskian-derivative identity supplies exactly the normalization that turns this into . Why: encodes the norm of the eigenfunction, so the residue automatically comes out as the correctly normalized eigenprojector kernel — matching equation (6).
Step 4. Resum. The closed form is meromorphic in with only these simple poles and decays as , so by the Mittag–Leffler theorem it equals the sum of its principal parts: . Why: a meromorphic function with controlled growth is the sum of its poles — this is what forces the two constructions to be one and the same. *Check: both sides satisfy with identical boundary conditions, and off-spectrum uniqueness of the Green's function forces equality; the box example below confirms the two forms agree to the number .*
Go deeper · Derivation C · 2 minFree-line resolvent, the branch cut, and the density of states
The goal is to work the whole machinery through for the one operator where the spectrum is purely continuous — the free operator on the line — and to extract from it the density of states, showing how the discrete sum of poles becomes a branch cut whose discontinuity counts modes. The strategy is to write the spectral representation as an integral over the continuum eigenfunctions, do the resulting contour integral in the -plane, and then take the imaginary part across the cut. The answer is the famous one-dimensional van Hove form.
Step 1. The continuum eigenfunctions are plane waves with eigenvalue ; the spectral sum becomes an integral with measure : . Why: for a continuous spectrum completeness reads , so the same "projectors over gaps" recipe holds with .
Step 2. The integrand has poles at . For off the positive real axis choose the branch with , so the pole at sits in the upper half -plane and in the lower. Why: this branch choice is what makes the decaying (physical) resolvent rather than a growing solution; it is the analytic continuation from , where and everything is manifestly convergent.
Step 3. Close the contour in the half-plane where decays — upper for , lower for — so only the pole at contributes for either sign, giving . Residues yield , with . Why: the modulus is not put in by hand — it emerges because the decaying half-plane flips with the sign of , always selecting the same pole. Check: at this is , the standard result for .
Step 4. Set and cross the cut from above: for , whose imaginary part is . Then for , and for . Why: the square-root branch point at is the band edge; the divergence there is the one-dimensional van Hove singularity, the pile-up of slow states at the bottom of the band. Below the band there are simply no states, so vanishes. *Check: the calculation reproduces the 1D free resolvent and the van Hove density of states plotted above, with and .*
Limiting cases
The entire character of — sum, integral, or both — is set by the nature of the spectrum.
| Case | Result | Meaning |
|---|---|---|
| Discrete spectrum (compact domain) | Regular Sturm–Liouville: countable eigenvalues , simple poles, orthonormal . | |
| Continuous spectrum (line or half-line) | Poles smear into a branch cut on the real axis; is the spectral measure. | |
| Mixed spectrum (attractive potential) | Discrete poles below the continuum (bound states) plus a cut (scattering states). | |
| Probe at an eigenvalue | Resolvent diverges; the inhomogeneous problem needs the source orthogonal to (Fredholm alternative). |
Worked examples
1 · Both forms of G for a string, checked to a number (confidence builder)
Take on with Dirichlet conditions , and probe at . Build as a closed form and as an eigenfunction sum, then evaluate both at the midpoint .
Step 1. Closed form. The homogeneous equation is , so (obeys ) and (obeys ); here and the Wronskian is . Equation (9) gives , positive as a Green's function of must be.
Step 2. Eigenfunction sum. The normalized eigenfunctions are with eigenvalues . Equation (4) at reads .
Step 3. Evaluate at the midpoint. Closed form: . Sum: for even and for odd , so only odd terms survive, , using .
Step 4. The two constructions — one built from two solutions and a jump, the other from an infinite spectral series — agree exactly. Both give G(½,½;0) = 1/4, a numerical instance of the equivalence theorem in Derivation 2.
2 · Driven string: resonance and the Fredholm alternative
Solve on the same string, expanding in the eigenbasis, and follow what happens as the drive is tuned toward an eigenvalue .
Step 1. Apply the resolvent: , where . This is the generalized Fourier solution: project the source onto each mode, divide by the gap, sum.
Step 2. Tune toward resonance. As the single term has a vanishing denominator, so diverges — the string is being driven at one of its natural frequencies and the response runs away, dominated by the shape .
Step 3. The escape clause. The divergence is avoided only if the source has no overlap with the resonant mode, . This is the Fredholm alternative: at exactly, is solvable if and only if .
Step 4. When it is solvable, drop the singular term and use the modified (reduced) Green's function ; the solution is then fixed only up to an arbitrary multiple of , since solves the homogeneous equation. Concretely, if and we drive at , then , so the first-mode resonance is silent and the response stays finite.
Physics of the portrait
The spectral representation is not one person's theorem; it is the meeting point of two traditions — the nineteenth-century boundary-value theory of Green, Sturm and Liouville, and the twentieth-century operator theory of Hilbert, Weyl and von Neumann — fused into a single object, the resolvent.
Origins · 1 minthe resolvent and how this was discovered
The resolvent began life humbly, as the Green's function of potential theory. George Green, a self-taught miller from Nottingham, introduced it in his 1828 Essay — the kernel that solves a boundary-value problem by superposing point-source responses. Around 1836–1837 Charles Sturm and Joseph Liouville built the eigenvalue theory of second-order differential operators, proving that the natural modes of a string or a heat-conducting bar form an orthogonal, complete set — the raw material of every eigenfunction expansion. The synthesis waited for the operator viewpoint: David Hilbert's work on integral equations (1904–1910) named the Spektrum and gave the resolvent its central place. The decisive leap for continuous spectra was Hermann Weyl's 1910 theory of singular Sturm–Liouville problems, which introduced the spectral density and the limit-point/limit-circle dichotomy — showing how a discrete sum passes into an integral against a spectral measure, precisely the branch cut of this article. John von Neumann's spectral theorem (1929–1932) then made the picture rigorous for unbounded self-adjoint operators, defining functions of an operator, including its resolvent, through the spectral projections; Edward Titchmarsh later recast eigenfunction expansions as contour integrals of the resolvent, so that "sum the residues, get the completeness relation" became a theorem. What Green wrote as a kernel is now one analytic function of whose poles and cuts are the spectrum.
Going further
Texts. Stone & Goldbart, Mathematics for Physics, chapters on Green's functions and the spectral theorem · Arfken, Weber & Harris, Mathematical Methods for Physicists, 7th ed., Green's-function chapter · Hassani, Mathematical Physics, Sturm–Liouville and Green's-function chapters · Byron & Fuller, Mathematics of Classical and Quantum Physics, §§5–7 · Courant & Hilbert, Methods of Mathematical Physics, Vol. I · Reed & Simon, Methods of Modern Mathematical Physics, Vol. I · Economou, Green's Functions in Quantum Physics (density of states and the free resolvent). Two sign conventions coexist in the literature: this article fixes throughout, giving spectral sum , residue , and ; the alternative flips every sign and gives the familiar . The free 1D resolvent is and the van Hove density of states is ; the box example confirms both forms of give at the midpoint via , and the free-line contour integral gives , .
Prerequisites. Linear Second-Order ODEs · Two-Point Boundary-Value Problems · The Wronskian and Linear Independence · Variation of Parameters. Leads to. Density of states · Scattering theory and the resolvent · Propagators in quantum field theory.
Ask the tutor: Want to see the spectral representation built explicitly for your own operator — a box, a drum, a hydrogen atom, or a tight-binding chain — with its poles, cut, and density of states worked out?
Why is it called the "spectral" representation?
Because it rewrites the Green's function entirely in terms of the spectrum of the operator — its eigenvalues and eigenfunctions — rather than in terms of the differential equation. The word "spectrum" is Hilbert's, borrowed by analogy with the discrete spectral lines of atoms: the eigenvalues are the "lines" of the operator. The representation is spectral in the strong sense that every feature of as a function of the probe — each pole, each branch cut, each residue — corresponds to a piece of spectral data. Reading the analytic structure of off the complex -plane is the same as reading the spectrum of .
What is the difference between the resolvent and the propagator?
They are Fourier–Laplace transforms of each other. The resolvent lives in the energy (or spectral-parameter) domain; the propagator, or time-evolution kernel, lives in the time domain, roughly . Because for suitable , the resolvent is the Laplace transform of the propagator in time. This is why the poles of the resolvent — the eigenvalues — become the oscillation frequencies of the propagator: a bound-state pole is a stable oscillation, a resonance pole with a small imaginary part is a decaying one.
Where exactly did the sign of the density-of-states formula come from?
From the choice . With that convention the diagonal spectral sum contains terms , and using one finds , so the physical (non-negative) density of states is . Many texts instead define the retarded resolvent , whose imaginary part carries the opposite sign, so they write . Both give the same positive ; the sign is bookkeeping, and the only crime is mixing the two conventions within one calculation.
What if the operator is not self-adjoint?
Then most of the clean structure fails, and gracefully degrading it is a research topic. Non-self-adjoint operators — arising in open systems, dissipative dynamics, or PT-symmetric models — can have complex eigenvalues, so the poles of leave the real axis and describe decay. Worse, the eigenfunctions may not be orthogonal or even complete, and the operator can be defective (an eigenvalue with fewer eigenvectors than its multiplicity), producing higher-order poles and Jordan blocks instead of simple poles. One then works with a biorthogonal system of left and right eigenfunctions, , and the residues become . The spectral representation survives in modified form, but reality of the spectrum and the projector interpretation of residues are lost.
How can a discrete sum of poles turn into a continuous branch cut?
By the eigenvalues crowding together as the domain grows. On a finite interval of length the eigenvalues of are , spaced by roughly , which shrinks as . Each eigenvalue is a simple pole of ; as they pack denser and denser their residues shrink in proportion, and in the limit the string of poles fuses into a continuous line of singularities — a branch cut. The density of poles per unit is precisely the density of states , and the jump in across the cut measures it. So the cut is nothing exotic: it is infinitely many poles seen from far away.
Why does the resolvent fail exactly at an eigenvalue, and what do you do about it?
Because has a genuine zero mode, , so it is not invertible — dividing by it is dividing by zero, and equation (4) has an infinite term. Physically the system is being probed at one of its resonances. The remedy is the Fredholm alternative: has a solution if and only if the source is orthogonal to the zero mode, ; then you use the modified Green's function that simply omits the offending term, . The solution is unique only up to adding any multiple of , since solves the homogeneous equation.
Is the spectral representation just a generalized Fourier series?
Essentially yes, and that is the point. For on with Dirichlet conditions the eigenfunctions are , so the eigenfunction expansion of is literally a Fourier sine series in both variables. The spectral representation generalizes this to any self-adjoint operator: the eigenfunctions play the role of the sines and cosines, the eigenvalues play the role of the squared frequencies, and completeness plays the role of Fourier's theorem. What changes is only which basis diagonalizes the operator — Legendre polynomials for the spherical Laplacian, Hermite functions for the oscillator, Bessel functions for the drum. The resolvent is diagonal in that basis, which is the whole content of the representation.