Spectral theory of ordinary differential equations
In mathematics, the spectral theory of ordinary differential equations is the part of spectral theory concerned with the determination of the spectrum and eigenfunction expansion associated with a linear ordinary differential equation. In his dissertation Hermann Weyl generalized the classical Sturm–Liouville theory on a finite closed interval to second order differential operators with singularities at the endpoints of the interval, possibly semi-infinite or infinite. Unlike the classical case, the spectrum may no longer consist of just a countable set of eigenvalues, but may also contain a continuous part. In this case the eigenfunction expansion involves an integral over the continuous part with respect to a spectral measure, given by the Titchmarsh–Kodaira formula. The theory was put in its final simplified form for singular differential equations of even degree by Kodaira and others, using von Neumann's spectral theorem. It has had important applications in quantum mechanics, operator theory and harmonic analysis on semisimple Lie groups.
- 1 Introduction
- 2 Solutions of ordinary differential equations
- 3 Classical Sturm–Liouville theory
- 4 Tools from abstract spectral theory
- 5 Weyl–Titchmarsh–Kodaira theory
- 6 Application to the hypergeometric equation
- 7 Application to the hydrogen atom
- 8 Generalisations and alternative approaches
- 9 Gelfand–Levitan theory
- 10 Notes
- 11 References
Spectral theory for second order ordinary differential equations on a compact interval was developed by Jacques Charles François Sturm and Joseph Liouville in the nineteenth century and is now known as Sturm–Liouville theory. In modern language it is an application of the spectral theorem for compact operators due to David Hilbert. In his dissertation, published in 1910, Hermann Weyl extended this theory to second order ordinary differential equations with singularities at the endpoints of the interval, now allowed to be infinite or semi-infinite. He simultaneously developed a spectral theory adapted to these special operators and introduced boundary conditions in terms of his celebrated dichotomy between limit points and limit circles.
In the 1920s John von Neumann established a general spectral theorem for unbounded self-adjoint operators, which Kunihiko Kodaira used to streamline Weyl's method. Kodaira also generalised Weyl's method to singular ordinary differential equations of even order and obtained a simple formula for the spectral measure. The same formula had also been obtained independently by E. C. Titchmarsh in 1946 (scientific communication between Japan and the United Kingdom had been interrupted by World War II). Titchmarsh had followed the method of the German mathematician Emil Hilb, who derived the eigenfunction expansions using complex function theory instead of operator theory. Other methods avoiding the spectral theorem were later developed independently by Levitan, Levinson and Yoshida, who used the fact that the resolvent of the singular differential operator could be approximated by compact resolvents corresponding to Sturm–Liouville problems for proper subintervals. Another method was found by Mark Grigoryevich Krein; his use of direction functionals was subsequently generalised by I. M. Glazman to arbitrary ordinary differential equations of even order.
Weyl applied his theory to Carl Friedrich Gauss's hypergeometric differential equation, thus obtaining a far-reaching generalisation of the transform formula of Gustav Ferdinand Mehler (1881) for the Legendre differential equation, rediscovered by the Russian physicist Vladimir Fock in 1943, and usually called the Mehler–Fock transform. The corresponding ordinary differential operator is the radial part of the Laplacian operator on 2-dimensional hyperbolic space. More generally, the Plancherel theorem for SL(2,R) of Harish Chandra and Gelfand–Naimark can be deduced from Weyl's theory for the hypergeometric equation, as can the theory of spherical functions for the isometry groups of higher dimensional hyperbolic spaces. Harish Chandra's later development of the Plancherel theorem for general real semisimple Lie groups was strongly influenced by the methods Weyl developed for eigenfunction expansions associated with singular ordinary differential equations. Equally importantly the theory also laid the mathematical foundations for the analysis of the Schrödinger equation and scattering matrix in quantum mechanics.
Solutions of ordinary differential equations
Reduction to standard form
Let D be the second order differential operator on (a,b) given by
where p is a strictly positive continuously differentiable function and q and r are continuous real-valued functions.
For x0 in (a, b), define the Liouville transformation ψ by
is the unitary operator defined by
where the potential V is given by
The differential operator can thus always be reduced to one of the form 
Let α, β be arbitrary elements of E, A a bounded operator on E and q a continuous function on [a,b].
Then, for c = a or b, the differential equation
- Df = Af
has a unique solution f in C2([a,b],E) satisfying the initial conditions
- f(c) = β, f '(c) = α.
In fact a solution of the differential equation with these initial conditions is equivalent to a solution of the integral equation
- f = h + T f
with T the bounded linear map on C([a,b], E) defined by
where K is the Volterra kernel
- K(x,t)= (x − t)(q(t) − A)
- h(x) = α(x − c) + β.
Since ||Tk|| tends to 0, this integral equation has a unique solution given by the Neumann series
- f = (I − T)−1 h = h + T h + T2 h + T3 h + ···
This iterative scheme is often called Picard iteration after the French mathematician Charles Émile Picard.
- In the case of a compact interval [a, b] and q continuous on [a, b], the existence theorem implies that for c = a or b and every complex number λ there a unique C2 eigenfunction fλ on [a, b] with fλ(c) and f 'λ(c) prescribed. Moreover, for each x in [a, b], fλ(x) and f 'λ(x) are holomorphic functions of λ.
- For an arbitrary interval (a,b) and q continuous on (a, b), the existence theorem implies that for c in (a, b) and every complex number λ there a unique C2 eigenfunction fλ on (a, b) with fλ(c) and f 'λ(c) prescribed. Moreover, for each x in (a, b), fλ(x) and f 'λ(x) are holomorphic functions of λ.
If f and g are C2 functions on (a, b), the Wronskian W(f, g) is defined by
- W(f, g) (x) = f(x) g '(x) − f '(x) g(x).
Green's formula - which in this one-dimensional case is a simple integration by parts - states that for x, y in (a, b)
When q is continuous and f, g C2 on the compact interval [a, b], this formula also holds for x = a or y = b.
When f and g are eigenfunctions for the same eigenvalue, then
so that W(f, g) is independent of x.
Classical Sturm–Liouville theory
Let [a, b] be a finite closed interval, q a real-valued continuous function on [a, b] and let H0 be the space of C2 functions f on [a, b] satisfying the Robin boundary conditions
with inner product
In practise usually one of the two standard boundary conditions:
is imposed at each endpoint c = a, b.
The differential operator D given by
acts on H0. A function f in H0 is called an eigenfunction of D (for the above choice of boundary values) if Df = λ f for some complex number λ, the corresponding eigenvalue. By Green's formula, D is formally self-adjoint on H0, since the Wronskian W(f,g) vanishes if both f,g satisfy the boundary conditions:
- (Df, g) = (f, Dg) for f, g in H0.
As a consequence, exactly as for a self-adjoint matrix in finite dimensions,
It turns out that the eigenvalues can be described by the maximum-minimum principle of Rayleigh–Ritz  (see below). In fact it is easy to see a priori that the eigenvalues are bounded below because the operator D is itself bounded below on H0:
- for some finite (possibly negative) constant .
In fact integrating by parts
For Dirichlet or Neumann boundary conditions, the first term vanishes and the inequality holds with M = inf q.
For general Robin boundary conditions the first term can be estimated using an elementary Peter-Paul version of Sobolev's inequality:
- "Given ε > 0, there is constant R >0 such that |f(x)|2 ≤ ε (f', f') + R (f, f) for all f in C1[a, b]."
In fact, since
- |f(b) − f(x)| ≤ (b − a)½·||f '||2,
only an estimate for f(b) is needed and this follows by replacing f(x) in the above inequality by (x − a)n·(b − a)−n·f(x) for n sufficiently large.
Green's function (regular case)
From the theory of ordinary differential equations, there are unique fundamental eigenfunctions φλ(x), χλ(x) such that
- D φλ = λ φλ, φλ(a) = sin α, φλ'(a) = cos α
- D χλ = λ χλ, χλ(b) = sin β, χλ'(b) = cos β
which at each point, together with their first derivatives, depend holomorphically on λ. Let
- ω(λ) = W(φλ, χλ),
This function ω(λ) plays the rôle of the characteristic polynomial of D. Indeed the uniqueness of the fundamental eigenfunctions implies that its zeros are precisely the eigenvalues of D and that each non-zero eigenspace is one-dimensional. In particular there are at most countably many eigenvalues of D and, if there are infinitely many, they must tend to infinity. It turns out that the zeros of ω(λ) also have mutilplicity one (see below).
If λ is not an eigenvalue of D on H0, define the Green's function by
- Gλ(x,y) = φλ (x) χλ(y) / ω(λ) for x ≥ y and χλ(x) φλ (y) / ω(λ) for y ≥ x.
This kernel defines an operator on the inner product space C[a,b] via
Since Gλ(x,y) is continuous on [a, b] x [a, b], it defines a Hilbert–Schmidt operator on the Hilbert space completion H of C[a, b] = H1 (or equivalently of the dense subspace H0), taking values in H1. This operator carries H1 into H0. When λ is real, Gλ(x,y) = Gλ(y,x) is also real, so defines a self-adjoint operator on H. Moreover
- Gλ (D − λ) =I on H0
- Gλ carries H1 into H0, and (D − λ) Gλ = I on H1.
Thus the operator Gλ can be identified with the resolvent (D − λ)−1.
Theorem. The eigenvalues of D are real of multiplicity one and form an increasing sequence λ1 < λ2 < ··· tending to infinity.
The corresponding normalised eigenfunctions form an orthonormal basis of H0.
The kth eigenvalue of D is given by the minimax principle
In particular if q1 ≤ q2, then
In fact let T = Gλ for λ large and negative. Then T defines a compact self-adjoint operator on the Hilbert space H. By the spectral theorem for compact self-adjoint operators, H has an orthonormal basis consisting of eigenvectors ψn of T with Tψn = μn ψn, where μn tends to zero. The range of T contains H0 so is dense. Hence 0 is not an eigenvector of T. The resolvent properties of T imply that ψn lies in H0 and that
- D ψn = (λ + 1/μn) ψn
The minimax principle follows because if
then λ(G)= λk for the linear span of the first k − 1 eigenfunctions. For any other (k − 1)-dimensional subspace G, some f in the linear span of the first k eigenvectors must be orthogonal to G. Hence λ(G) ≤ (Df,f)/(f,f) ≤ λk.
Wronskian as a Fredholm determinant
For simplicity, suppose that m ≤ q(x) ≤ M on [0,π] with Dirichlet boundary conditions. The minimax principle shows that
The Dirichlet boundary conditions imply that
- ω(λ)= φλ(b).
Using Picard iteration, Titchmarsh showed that φλ(b), and hence ω(λ), is an entire function of finite order 1/2:
- ω(λ) = O(e√|λ|)
At a zero μ of ω(λ), φμ(b) = 0. Moreover
satisfies (D − μ)ψ = φμ. Thus
- ω(λ) = (λ − μ)ψ(b) + O( (λ − μ)2).
This implies that
- μ is a simple zero of ω(λ).
For otherwise ψ(b) = 0, so that ψ would have to lie in H0. But then
- (φμ, φμ) = ((D − μ)ψ, φμ) = (ψ, (D − μ)φμ) = 0,
On the other hand the distribution of the zeros of the entire function ω(λ) is already known from the minimax principle.
for some non-zero constant C.
In particular if 0 is not an eigenvalue of D
Tools from abstract spectral theory
Functions of bounded variation
over all dissections
is finite. The real and imaginary parts of ρ are real-valued functions of bounded variation. If ρ is real-valued and normalised so that ρ(a)=0, it has a canonical decomposition as the difference of two bounded non-decreasing functions:
where ρ+(x) and ρ–(x) are the total positive and negative variation of ρ over [a, x].
If f is a continuous function on [a, b] its Riemann–Stieltjes integral with respect to ρ
is defined to be the limit of approximating sums
as the mesh of the dissection, given by sup |xr+1 - xr|, tends to zero.
This integral satisfies
The form |μ| extends linearly to a bounded linear form on C[a, b] with norm ||μ|| and satisfies the characterizing inequality
- |μ(f)| ≤ |μ|(|f|)
for f in C[a, b]. If μ is real, i.e. is real-valued on real-valued functions, then
gives a canonical decomposition as a difference of positive forms, i.e. forms that are non-negative on non-negative functions.
where the non-negative continuous functions fn increase pointwise to g.
The same therefore applies to an arbitrary bounded linear form μ, so that a function ρ of bounded variation may be defined by
where χA denotes the characteristic function of a subset A of [a, b]. Thus μ = dρ and ||μ|| = ||dρ||. Moreover μ+ = dρ+ and μ– = dρ–.
This correspondence between functions of bounded variation and bounded linear forms is a special case of the Riesz representation theorem.
The support of μ = dρ is the complement of all points x in [a,b] where ρ is constant on some neighborhood of x; by definition it is a closed subset A of [a,b]. Moreover μ((1-χA)f) =0, so that μ(f) = 0 if f vanishes on A.
- and .
If is a lower semicontinuous function on , for example the characteristic function of a subinterval of , then is a pointwise increasing limit of non-negative .
form a Cauchy sequence in H, since, for ,
and is bounded and increasing, so has a limit.
It follows that can be defined by
If and are vectors in H, then
defines a bounded linear form on H. By the Riesz representation theorem
for a unique normalised function of bounded variation on .
(or sometimes slightly incorrectly itself) is called the spectral measure determined by and .
The operator is accordingly uniquely characterised by the equation
The spectral projection is defined by
It follows that
which is understood in the sense that for any vectors and ,
For a single vector is a positive form on (in other words proportional to a probability measure on ) and is non-negative and non-decreasing. Polarisation shows that all the forms can naturally be expressed in terms of such positive forms, since
If the vector is such that the linear span of the vectors is dense in H, i.e. is a cyclic vector for , then the map defined by
Let denote the Hilbert space completion of associated with the possibly degenerate inner product on the right hand side. Thus extends to a unitary transformation of onto H. is then just multiplication by on ; and more generally is multiplication by . In this case, the support of is exactly , so that
- the self-adjoint operator becomes a multiplication operator on the space of functions on its spectrum with inner product given by the spectral measure.
The eigenfunction expansion associated with singular differential operators of the form
on an open interval (a, b) requires an initial analysis of the behaviour of the fundamental eigenfunctions near the endpoints a and b to determine possible boundary conditions there. Unlike the regular Sturm–Liouville case, in some circumstances spectral values of D can have multiplicity 2. In the development outlined below standard assumptions will be imposed on p and q that guarantee that the spectrum of D has multiplicity one everywhere and is bounded below. This includes almost all important applications; modifications required for the more general case will be discussed later.
Having chosen the boundary conditions, as in the classical theory the resolvent of D, (D + R )−1 for R large and positive, is given by an operator T corresponding to a Green's function constructed from two fundamental eigenfunctions. In the classical case T was a compact self-adjoint operator; in this case T is just a self-adjoint bounded operator with 0 ≤ T ≤ I. The abstract theory of spectral measure can therefore be applied to T to give the eigenfunction expansion for D.
The central idea in the proof of Weyl and Kodaira can be explained informally as follows. Assume that the spectrum of D lies in [1,∞) and that T =D−1 and let
be the spectral projection of D corresponding to the interval [1,λ]. For an arbitrary function f define
f(x,λ) may be regarded as a differentiable map into the space of functions of bounded variation ρ; or equivalently as a differentiable map
into the Banach space E of bounded linear functionals dρ on C[α,β] whenever [α,β] is a compact subinterval of [1, ∞).
Weyl's fundamental observation was that dλ f satisfies a second order ordinary differential equation taking values in E:
After imposing initial conditions on the first two derivatives at a fixed point c, this equation can be solved explicitly in terms of the two fundamental eigenfunctions and the "initial value" functionals
This point of view may now be turned on its head: f(c,λ) and fx(c,λ) may be written as
where ξ1(λ) and ξ2(λ) are given purely in terms of the fundamental eigenfunctions. The functions of bounded variation
determine a spectral measure on the spectrum of D and can be computed explicitly from the behaviour of the fundamental eigenfunctions (the Titchmarsh–Kodaira formula).
Limit circle and limit point for singular equations
Let q(x) be a continuous real-valued function on (0,∞) and let D be the second order differential operator
on (0,∞). Fix a point c in (0,∞) and, for λ complex, let be the unique fundamental eigenfunctions of D on (0,∞) satisfying
together with the initial conditions at c
Then their Wronskian satisfies
since it is constant and equal to 1 at c.
Let λ be non-real and 0 < x < ∞. If the complex number is such that satisfies the boundary condition for some (or, equivalently, is real) then, using integration by parts, one obtains
The set of these is a circle in the complex -plane. Points in its interior are characterized by
if x > c and by
if x < c.
Let Dx be the closed disc enclosed by the circle. By definition these closed discs are nested and decrease as x approaches 0 or ∞. So in the limit, the circles tend either to a limit circle or a limit point at each end. If is a limit point or a point on the limit circle at 0 or ∞, then is square integrable (L2) near 0 or ∞, since lies in Dx for all x>c (in the ∞ case) and so is bounded independent of x. In particular:
- there are always non-zero solutions of Df = λf which are square integrable near 0 or ∞;
- there is exactly one non-zero solution (up to scalar multiples) of Df = λf which is square integrable near 0 or ∞ precisely in the limit point case.
On the other hand if Dg = λ' g for another value λ', then
satisfies Dh = λh, so that
Using this to estimate g, it follows that
- the limit point/limit circle behaviour at 0 or ∞ is independent of the choice of λ.
More generally if Dg= (λ – r) g for some function r(x), then
From this it follows that
- if r is continuous at 0, then D + r is limit point or limit circle at 0 precisely when D is,
so that in particular
- if q(x)- a/x2 is continuous at 0, then D is limit point at 0 if and only if a ≥ ¾.
- if r has a finite limit at ∞, then D + r is limit point or limit circle at ∞ precisely when D is,
so that in particular
- if q has a finite limit at ∞, then D is limit point at ∞.
Many more elaborate criteria to be limit point or limit circle can be found in the mathematical literature.
Green's function (singular case)
Consider the differential operator
on (0,∞) with q0 positive and continuous on (0,∞) and p0 continuously differentiable in [0,∞), positive in (0,∞) and p0(0)=0.
Moreover assume that after reduction to standard form D0 becomes the equivalent operator
on (0,∞) where q has a finite limit at ∞. Thus
- D is limit point at ∞.
At 0, D may be either limit circle or limit point. In either case there is an eigenfunction Φ0 with DΦ0=0 and Φ0 square integrable near 0. In the limit circle case, Φ0 determines a boundary condition at 0:
For λ complex, let Φλ and Χλ satisfy
- (D – λ)Φλ = 0, (D – λ)Χλ = 0
- Χλ square integrable near infinity
- Φλ square integrable at 0 if 0 is limit point
- Φλ satisfies the boundary condition above if 0 is limit circle.
a constant which vanishes precisely when Φλ and Χλ are proportional, i.e. λ is an eigenvalue of D for these boundary conditions.
On the other hand, this cannot occur if Im λ ≠ 0 or if λ is negative.
Indeed if D f= λf with q0 – λ ≥ δ >0, then by Green's formula (Df,f) = (f,Df), since W(f,f*) is constant. So λ must be real. If f is taken to be real-valued in the D0 realization, then for 0 < x < y
Since p0(0) = 0 and f is integrable near 0, p0f f ' must vanish at 0. Setting x = 0, it follows that f(y) f '(y) >0, so that f2 is increasing, contradicting the square integrability of f near ∞.
Thus, adding a positive scalar to q, it may be assumed that
- ω(λ) ≠ 0 when λ is not in [1,∞).
If ω(λ) ≠ 0, the Green's function Gλ(x,y) at λ is defined by
and is independent of the choice of λ and Χλ.
In the examples there will be a third "bad" eigenfunction Ψλ defined and holomorphic for λ not in [1, ∞) such that Ψλ satisfies the boundary conditions at neither 0 nor ∞. This means that for λ not in [1, ∞)
- W(Φλ,Ψλ) is nowhere vanishing;
- W(Χλ,Ψλ) is nowhere vanishing.
In this case Χλ is proportional to Φλ + m(λ) Ψλ, where
- m(λ) = – W(Φλ,Χλ) / W(Ψλ,Χλ).
Let H1 be the space of square integrable continuous functions on (0,∞) and let H0 be
- the space of C2 functions f on (0,∞) of compact support if D is limit point at 0
- the space of C2 functions f on (0,∞) with W(f,Φ0)=0 at 0 and with f = 0 near ∞ if D is limit circle at 0.
Define T = G0 by
Then T D = I on H0, D T = I on H1 and the operator D is bounded below on H0:
Thus T is a self-adjoint bounded operator with 0 ≤ T ≤ I.
Formally T = D−1. The corresponding operators Gλ defined for λ not in [1,∞) can be formally identified with
and satisfy Gλ (D – λ) = I on H0, (D – λ)Gλ = I on H1.
Spectral theorem and Titchmarsh–Kodaira formula
Then ρ(λ) is a lower semicontinuous non-decreasing function of λ and if
then U defines a unitary transformation of L2(0,∞) onto L2([1,∞), dρ) such that UDU−1 corresponds to multiplication by λ.
The inverse transformation U−1 is given by
The spectrum of D equals the support of dρ.
In fact for T =D−1 with 0 ≤ T ≤ I, the spectral projection E(λ) of T is defined by
It is also the spectral projection of D corresponding to the interval [1,λ].
For f in H1 define
f(x,λ) may be regarded as a differentiable map into the space of functions ρ of bounded variation; or equivalently as a differentiable map
into the Banach space E of bounded linear functionals dρ on C[α,β] for any compact subinterval [α,β] of [1, ∞).
The functionals (or measures) dλ f(x) satisfies the following E-valued second order ordinary differential equation:
with initial conditions at c in (0,∞)
If φλ and χλ are the special eigenfunctions adapted to c, then
(As the notation suggests, ξλ(0) and ξλ(1) do not depend on the choice of z.)
it follows that
On the other hand there are holomorphic functions a(λ), b(λ) such that
- φλ + a(λ) χλ is proportional to Φλ;
- φλ + b(λ) χλ is proportional to Χλ.
Since W(φλ,χλ) = 1, the Green's function is given by
Direct calculation shows that
where the so-called characteristic matrix Mij(z) is given by
which immediately implies
(This is a special case of the "Stietljes inversion formula".)
Setting ψλ(0)=φλ and ψλ(1)=χλ, it follows that
This identity is equivalent to the spectral theorem and Titchmarsh–Kodaira formula.
Application to the hypergeometric equation
with eigenvalue λ ≥ 0. The two Mehler–Fock transformations are
(Often this is written in terms of the variable τ = √λ.)
Mehler and Fock studied this differential operator because it arose as the radial component of the Laplacian on 2-dimensional hyperbolic space. More generally, consider the group G = SU(1,1) consisting of complex matrices of the form
with determinant |α|2 − |β|2 = 1.
Application to the hydrogen atom
Generalisations and alternative approaches
A Weyl function can be defined at a singular endpoint giving rise to a singular version of Weyl–Titchmarsh–Kodaira theory. this applies for example to the case of radial Schrödinger operators
The whole theory can also be extended to the case where the coefficients are allowed to be measures.
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