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 unboundedself-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 Izrail Glazman to arbitrary ordinary differential equations of even order.
Iff is twice continuously differentiable (i.e. C2) on (a, b) satisfying Df = λf, then f is called an eigenfunctionofD with eigenvalueλ.
In the case of a compact interval [a, b] and q continuous on [a, b], the existence theorem implies that for c = aorc = b and every complex number λ there a unique C2 eigenfunction fλon[a, b] with fλ(c) and f′λ(c) prescribed. Moreover, for each xin[a, b], fλ(x) and f′λ(x) are holomorphic functionsofλ.
For an arbitrary interval (a, b) and q continuous on (a, b), the existence theorem implies that for cin(a, b) and every complex number λ there a unique C2 eigenfunction fλon(a, b) with fλ(c) and f′λ(c) prescribed. Moreover, for each xin(a, b), fλ(x) and f′λ(x) are holomorphic functionsofλ.
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 fon[a, b] satisfying the Robin boundary conditions
acts on H0. A function finH0 is called an eigenfunctionofD (for the above choice of boundary values) if Df = λf for some complex number λ, the corresponding eigenvalue. By Green's formula, D is formally self-adjointonH0, since the Wronskian W(f, g) vanishes if both f, g satisfy the boundary conditions:
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[3] (see below). In fact it is easy to see a priori that the eigenvalues are bounded below because the operator D is itself bounded belowonH0:
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 finC1[a, b]."
In fact, since
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.
This function ω(λ) plays the role of the characteristic polynomialofD. 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).
Ifλ is not an eigenvalue of DonH0, define the Green's functionby
This kernel defines an operator on the inner product space C[a,b] via
Since Gλ(x,y) is continuous on [a, b] × [a, b], it defines a Hilbert–Schmidt operator on the Hilbert space completion HofC[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) = IonH0
Gλ carries H1 into H0, and (D − λ) Gλ = IonH1.
Thus the operator Gλ can be identified with the resolvent(D − λ)−1.
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 ψnofT with Tψn = μnψn, where μn tends to zero. The range of T contains H0 so is dense. Hence 0 is not an eigenvalue of T. The resolvent properties of T imply that ψn lies in H0 and that
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.
For simplicity, suppose that m ≤ q(x) ≤ Mon[0, π] with Dirichlet boundary conditions. The minimax principle shows that
It follows that the resolvent (D − λ)−1 is a trace-class operator whenever λ is not an eigenvalue of D and hence that the Fredholm determinantdet I − μ(D − λ)−1 is defined.
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].
Every bounded linear functional μonC[a, b] has an absolute value |μ| defined for non-negative fby[7]
The form |μ| extends linearly to a bounded linear form on C[a, b] with norm ‖μ‖ and satisfies the characterizing inequality
for finC[a, b]. If μisreal, 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.
Every positive form μ extends uniquely to the linear span of non-negative bounded lower semicontinuous functionsg by the formula[8]
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[9]
where χA denotes the characteristic function of a subset Aof[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 supportofμ = dρ is the complement of all points xin[a, b] where ρ is constant on some neighborhood of x; by definition it is a closed subset Aof[a, b]. Moreover, μ((1 − χA)f) = 0, so that μ(f) = 0iff vanishes on A.
If is a lower semicontinuous function on [0, 1], for example the characteristic function of a subinterval of [0, 1], then
is a pointwise increasing limit of non-negative .
which is understood in the sense that for any vectors and ,
For a single vector is a positive form on [0, 1]
(in other words proportional to a probability measureon[0, 1]) 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
satisfies
Let denote the Hilbert space completion of associated with the possibly degenerate inner product on the right hand side.[b]
Thus extends to a unitary transformationof 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 valuesofD 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 dρonC[α,β] whenever [α, β] is a compact subinterval of [1, ∞).
Weyl's fundamental observation was that dλf 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[edit]
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 cin(0, ∞) and, for complex λ, let be the unique fundamental eigenfunctionsofDon(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
Therefore, the set of μ satisfying this equation is not empty. This set is a circle in the complex μ-plane. Points μ in its interior are characterized by
ifx > c and by
ifx < c.
Let Dx be the closed disc enclosed by the circle. By definition these closed discs are nested and decrease as x approaches 0or∞. 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 0or∞, then issquare integrable (L2) near 0or∞, since lies in Dx for all x > c (in the ∞ case) and so is bounded independent of x. In particular:[10]
there are always non-zero solutions of Df = λf which are square integrable near 0 resp. ∞;
in the limit circle case all solutions of Df = λf are square integrable near 0 resp. ∞.
The radius of the disc Dx can be calculated to be
and this implies that in the limit point case cannot be square integrable near 0 resp. ∞. Therefore, we have a converse to the second statement above:
in the limit point case there is exactly one non-zero solution (up to scalar multiples) of Df = λf which is square integrable near 0 resp. ∞.
On the other hand, if Dg = λ′ g for another value λ′, then
satisfies Dh = λh, so that
This formula may also be obtained directly by the variation of constant method from (D − λ)g = (λ′ − λ)g.
Using this to estimate g, it follows that[10]
the limit point/limit circle behaviour at 0or∞ is independent of the choice of λ.
More generally if Dg = (λ – r) g for some function r(x), then[11]
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 conditionat0:
For complex λ, let Φλ and Χλ satisfy
(D – λ)Φλ = 0, (D – λ)Χλ = 0
Χλ square integrable near infinity
Φλ square integrable at 0if0islimit point
Φλ satisfies the boundary condition above if 0islimit circle.
Let
a constant which vanishes precisely when Φλ and Χλ are proportional, i.e. λ is an eigenvalueofD for these boundary conditions.
On the other hand, this cannot occur if Imλ ≠ 0 or if λ is negative.[10]
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, p0ff′ 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
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
Let H1 be the space of square integrable continuous functions on (0, ∞) and let H0be
the space of C2 functions fon(0, ∞)ofcompact supportifD is limit point at 0
the space of C2 functions fon(0, ∞) with W(f, Φ0) = 0at0 and with f = 0 near ∞ifD is limit circle at 0.
Define T = G0by
Then TD = IonH0, DT = IonH1 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
Spectral theorem and Titchmarsh–Kodaira formula[edit]
Theorem.[10][14][15] — For every real number λ let ρ(λ) be defined by the 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.
Kodaira gave a streamlined version[16][17] of Weyl's original proof.[10] (M.H. Stone had previously shown[18] how part of Weyl's work could be simplified using von Neumann's spectral theorem.)
In fact for T =D−1 with 0 ≤ T ≤ I, the spectral projection E(λ)ofT is defined by
It is also the spectral projection of D corresponding to the interval [1, λ].
For finH1 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 dρon[C[α, β]] for any compact subinterval [α, β]of[1, ∞).
The functionals (or measures) dλf(x) satisfies the following E-valued second order ordinary differential equation:
with initial conditions at cin(0, ∞)
Ifφλ and χλ are the special eigenfunctions adapted to c, then
Moreover,
where
with
(As the notation suggests, ξλ(0) and ξλ(1) do not depend on the choice of z.)
Setting
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
with eigenvalue λ ≥ 0. The two Mehler–Fock transformations are[24]
and
(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,[25] consider the group G = SU(1,1) consisting of complex matrices of the form
A Weyl function can be defined at a singular endpoint a giving rise to a singular version of Weyl–Titchmarsh–Kodaira theory.[26] 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.[27]
^Abona fide inner product is defined on the quotient by the subspace of null functions , i.e. those with . Alternatively in this case the support of the measure is , so the right hand side defines a (non-degenerate) inner product on .
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