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Qm Math Oscillator — Examples

1 · Prerequisites

2 · Summary

The companion page to qm-math-oscillator records three explicit mathematical checks behind its spectral, coherent and differential results. All three items are mathematics: they carry domain: mathematics, depend only on the items of the parent page and on mathematical suppliers, and make no physical or empirical claim.

Ground energy units reads the spectrum {ℏω(n+12)} of the realised oscillator in units of ℏω: the ground energy is 1/2, every gap is 1, the ground eigenvector is the Gaussian ψ0(x)=π−1/4ℓ−1/2e−x2/(2ℓ2) solving −ℏ22mψ0′′+mω22x2ψ0=ℏω2ψ0 pointwise, and the isotropic d-dimensional ground energy is d/2 in the same units, so 32ℏω for d=3. None of these numbers is identified with a measured energy.

Poisson number distribution computes the coefficients of the coherent vector in the number basis: pn=∣⟨gn,ψz⟩∣2=e−∣z∣2∣z∣2n/n! has total mass 1, mean ∣z∣2 and variance ∣z∣2, so the coefficient distribution is the Poisson distribution with parameter λ=∣z∣2, with every pn positive when z≠0. The statement is about the coefficients of a vector in an orthonormal basis, not about measured counts.

Formal nonnormalizable solution exhibits the classical formal second solution u2(y)=e−y2/2∫0yet2dt of the ground-state equation u′′=(y2−1)u: it has constant Wronskian g0u2′−g0′u2=π−1/4 against the Gaussian g0, satisfies ∣u2(y)∣2≥ey2−4y+2 for y≥1 and is therefore not in L2(R,dy), and every C2∩L2 solution of the equation is a constant multiple of g0. This is the analytic reason the L2 eigenfunction at the bottom of the spectrum is the normalizable Gaussian and not the formal growing solution.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

None yet.

5 · Examples, experiments and counterexamples

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Ground energy units

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Fix m,ω,ℏ>0 and let ℓ=ℏ/(mω), ψn, Hosc be as in Oscillator scaling and exact realization. Then:

(a) the spectrum of Hosc is exactly {ℏω(n+12):n∈N}; measured in units of ℏω the eigenvalues are n+12, the ground energy is

E0ℏω=12,

and every consecutive gap is 1 unit: En+1−Enℏω=1;

(b) the ground eigenvector is the Gaussian

ψ0(x)=π−1/4ℓ−1/2e−x2/(2ℓ2),

and it satisfies the eigenvalue equation pointwise:

−ℏ22mψ0′′(x)+mω22x2ψ0(x)=ℏω2ψ0(x)(x∈R);

(c) for the isotropic d-dimensional oscillator of Multidimensional oscillator completeness (d) with common frequency ω, the ground energy is d2ℏω in the same units, in particular 32ℏω for d=3, and all gaps within one coordinate direction are ℏω;

(d) no other value of the ground energy is compatible with the displayed spectrum: E0 is the infimum of σ(Hosc).

No physical identification of ℏω with a measured energy is made; the statements are about the operator Hosc built from the positive parameters.

Facts & Assumptions

Given: positive reals m,ω,ℏ; ℓ=ℏ/(mω); the oscillator operator Hosc=ℏω2DAD−1 with basis (ψn).

[F1]

Hosc is self-adjoint with complete orthonormal eigenbasis (ψn), Hoscψn=ℏω(n+12)ψn, and σ(Hosc)={ℏω(n+12):n∈N} (Oscillator scaling and exact realization(b)).

[F2]

ψ0=Dg0 with g0(y)=π−1/4e−y2/2, ℓ=ℏ/(mω), and for every f=D(pg0) one has Hoscf=−ℏ22mf′′+mω22x2f pointwise (Oscillator scaling and exact realization(a),(c), Hermite recurrence(a)).

[F4]

ℏ22mℓ2=ℏω2 and ℏ22mℓ4=mω22, because ℓ2=ℏ/(mω) (Oscillator scaling and exact realization).

Verification

1.1F1algebra

[(a) levels] By [F1], each ψn is a unit eigenvector with eigenvalue ℏω(n+12), and σ(Hosc) is exactly the set of these numbers. Hence E0=ℏω/2, so E0/(ℏω)=12, and En+1−En=ℏω for every n, so (En+1−En)/(ℏω)=1.

1.2F1algebra

[(c) d-dimensional ground energy] In the isotropic d-dimensional operator H of Multidimensional oscillator completeness (d), the eigenvalues are ℏω(M+d2), M∈N, so the smallest is ℏω⋅d2: the ground energy is d2ℏω, equal to 32ℏω for d=3, and the increment of M by one raises the energy by ℏω.

2.1step 1.1F2F3F4algebra

[(b) ground eigenfunction] By [F2], ψ0(x)=ℓ−1/2π−1/4e−x2/(2ℓ2). Using [F3], −ℏ22mψ0′′+mω22x2ψ0=[ℏ22mℓ2+(−ℏ22mℓ4+mω22)x2]ψ0, and by [F4] the coefficient of x2 vanishes while the constant term is ℏω2; hence Hoscψ0=ℏω2ψ0 pointwise, in agreement with Hoscψ0=ℏω(0+12)ψ0 from [F1].

3.1step 1.1F1∎

[(d) minimality] By [F1] the spectrum is the closed discrete set {ℏω(n+12):n∈N}, whose infimum is its least element ℏω/2=E0; no smaller value belongs to the spectrum.

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Poisson number distribution

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let (gn)n∈N be the Hermite family of L2(R,dy), N=a†a the number operator of Closed ladder domains, and for z∈C let ψz=e−∣z∣2/2∑nznn!gn be the coherent vector of Coherent-state convergence. Define

pn:=∣⟨gn,ψz⟩∣2=e−∣z∣2∣z∣2nn!(n∈N).

Then:

(a) (pn)n∈N is a probability distribution on N: pn≥0 and ∑npn=1;

(b) ⟨N⟩:=⟨Nψz,ψz⟩=∑nn pn=∣z∣2;

(c) Var⁡(N):=⟨(N−∣z∣2I)2ψz,ψz⟩=∑n(n−∣z∣2)2pn=∣z∣2;

(d) the distribution is the Poisson distribution with parameter λ=∣z∣2, and it is nontrivial for every z≠0: pn>0 for all n.

Facts & Assumptions

Given: the coherent vector ψz with coefficients cn=e−∣z∣2/2zn/n! in the orthonormal family (gn); the numbers pn=∣cn∣2.

[F1]

⟨gn,gm⟩=δnm and cn=⟨ψz,gn⟩ with ψz=e−∣z∣2/2∑nznn!gn; ⟨Nψz,ψz⟩=∣z∣2; ψz∈D(Nk) for every k (Coherent-state convergence(a),(b),(e), Hermite orthogonality(a)).

[F2]

For t=∣z∣2≥0, ∑n≥0tnn!=et and the series converges absolutely (The complex exponential by its power series, The complex exponential series converges absolutely for every complex argument).

[F3]

For an orthonormal family, ⟨Nψz,ψz⟩=∑nn∣cn∣2 and, for ψz∈D(N2), ⟨(N−∣z∣2I)2ψz,ψz⟩=∑n(n−∣z∣2)2∣cn∣2; these are the coefficient formulas of the diagonal operator on the orthonormal family (Coherent-state convergence and The space Lp(μ) as the quotient by null functions, Complex Lp classes and Euclidean test-function conventions).

Verification

1.1F1F2algebra

[(a) probability distribution] pn=∣cn∣2=e−∣z∣2∣z∣2n/n!≥0, and ∑npn=e−∣z∣2∑n(∣z∣2)nn!=e−∣z∣2e∣z∣2=1 by [F2].

1.2F1F3

[(b) mean] By [F3] and [F1], ∑nnpn=∑nn∣cn∣2=⟨Nψz,ψz⟩=∣z∣2.

1.3F2F3algebra

[(c) variance] Expanding (N−∣z∣2I)2=N2−2∣z∣2N+∣z∣4I and using [F3], ∑n(n−∣z∣2)2pn=e−∣z∣2∑n(n2−2∣z∣2n+∣z∣4)∣z∣2nn!. With t=∣z∣2, the three series are ∑nn2tnn!=(t2+t)et, ∑nntnn!=tet and ∑ntnn!=et, obtained from the absolutely convergent exponential series by reindexing (∑n≥1n tnn!=t∑m≥0tmm! and ∑n≥2n(n−1)tnn!=t2∑m≥0tmm!); multiplying by e−t gives (t2+t)−2t2+t2=t=∣z∣2.

2.1step 1.1step 1.2step 1.3∎

[(d) Poisson form] By (a)-(c) the distribution has total mass 1, mean ∣z∣2=λ and variance ∣z∣2=λ, and its weights are e−λλn/n!, which is the Poisson distribution with parameter λ; if z≠0 then λ>0 and pn>0 for every n, so no outcome is excluded.

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Formal nonnormalizable solution

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let g0(y)=π−1/4e−y2/2 (Hermite recurrence(a)) and define

F(y):=∫0yet2 dt,u2(y):=e−y2/2F(y)(y∈R).

Then:

(a) F is C1 with F′=ey2, and u2 is C2 and solves the ground-state eigenvalue equation

u2′′(y)=(y2−1)u2(y)(y∈R),

which is the equation (−∂y2+y2)u=u satisfied by g0 (Hermite orthogonality(b));

(b) the Wronskian is constant and nonzero,

W:=g0u2′−g0′u2=π−1/4,

so g0 and u2 are linearly independent solutions;

(c) u2∉L2(R,dy): for y≥1 one has ∣u2(y)∣2≥ey2−4y+2, which is not integrable, so ∫R∣u2∣2dy=+∞;

(d) every C2 function u:R→C (with complex smoothness and derivatives understood componentwise as in Complex Lp classes and Euclidean test-function conventions) that belongs to L2(R,dy) and solves u′′=(y2−1)u is a constant multiple of g0: the quantity W(u):=g0u′−g0′u is constant for such u; if this constant is nonzero then u(y)=g0(y)(C+cπ1/2F(y)) for some constants with c≠0, which satisfies ∣u(y)∣≥Key2/2−2y+1 for some K>0 and all sufficiently large y, and is not in L2; hence the constant is zero and u/g0 is constant.

Thus u2 is the classical formal second solution of the ground-state equation, and its failure to be square-integrable is what forces the L2 eigenfunction to be the Gaussian.

Facts & Assumptions

Given: g0(y)=π−1/4e−y2/2, F(y)=∫0yet2dt, u2=e−y2/2F, and, in part (d), a componentwise C2 function u:R→C with u∈L2(R,dy).

[F2]

F(y)=∫0yet2 dt uses oriented limits (The integral with oriented limits: ∫aaf:=0 and ∫baf:=−∫abf). For each y0∈R, choose a<min⁡(0,y0) and b>max⁡(0,y0) and put G(x)=∫axet2 dt on [a,b]. Oriented additivity gives F(x)=G(x)−G(0) on this interval, and the first FTC applied to the continuous integrand gives F′(y0)=G′(y0)=ey02 (For a<c<b: f is integrable on [a,b] if and only if it is integrable on [a,c] and on [c,b], and then ∫abf=∫acf+∫cbf; with the oriented form for arbitrary a,b,c, The first fundamental theorem: if f is integrable on [a,b] and continuous at c, then F′(c)=f(c); in particular a continuous f has F as a primitive); hence F∈C1(R). For t∈R, et2≥e0=1 by strict increase and the defining series at zero (The exponential function is strictly increasing, The complex exponential by its power series), so F(y)≥y≥0 for y≥0.

[F5]

For every real x, ex>0 and e−x=1/ex (The exponential is positive and satisfies exp⁡(−x)=1/exp⁡(x)); the real exponential is strictly increasing (The exponential function is strictly increasing). The complex exponential extends the real one and satisfies ez+w=ezew for all z,w∈C (exp⁡(z+w)=exp⁡z exp⁡w, and the complex exponential extends the real exponential).

[F3]

If G is differentiable with integrable derivative on [a,b], then ∫abG′=G(b)−G(a) (The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a)). If a nonnegative measurable h satisfies h≥1 on [a,∞) for some real a, then for every integer N≥1, 1[a,a+N]≤h; monotonicity of the nonnegative integral and the identity ∫1E dλ=λ(E) for indicators (from the simple-integral definition and its agreement with the nonnegative integral) give ∫h dλ≥λ([a,a+N])=N, so h is not integrable (The nonnegative Lebesgue integral, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions, Monotonicity and nonnegative homogeneity of the nonnegative integral, A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included).

[F4]

For a complex-valued function, C2 means its real and imaginary parts are C2, with derivatives taken componentwise (Complex Lp classes and Euclidean test-function conventions).

Verification

1.1givenF1F2algebra

[(a) the formal solution] By [F2], F∈C1 with F′=ey2, so u2 is C2 with, using the product rule and [F1], u2′=e−y2/2(F′−yF)=e−y2/2(ey2−yF) and u2′′=e−y2/2(2yey2−F−yF′−y(ey2−yF))=(y2−1)u2 because the ey2 terms cancel. Since (−∂y2+y2)g0=g0 by [F1], the equation u′′=(y2−1)u is exactly the ground-state eigenvalue equation.

1.2givenF2F3F5algebra

[(c) nonintegrability] For y≥1, F(y)=∫0yet2dt≥∫y−1yet2dt≥e(y−1)2 because t≥y−1≥0 on the interval and the exponential is increasing by [F5]. Hence ∣u2(y)∣2=e−y2F(y)2≥e−y2e2(y−1)2=ey2−4y+2 for y≥1; the lower bound exceeds 1 for y≥4, so [F3] implies ∫R∣u2∣2dy=+∞. Hence u2∉L2(R,dy).

2.1step 1.1F1F5algebra

[(b) the Wronskian] Using g0′=−yg0 from [F1] and the first formula of step 1.1, W=g0u2′−g0′u2=π−1/4e−y2/2⋅e−y2/2(ey2−yF)+yπ−1/4e−y2/2⋅e−y2/2F=π−1/4(1−yFe−y2+yFe−y2)=π−1/4, a nonzero constant; hence g0,u2 are linearly independent (if ag0+bu2=0, applying W(g0,v):=g0v′−g0′v gives bπ−1/4=0, hence b=0, and then a=0 because g0>0).

3.1step 1.1step 1.2F1F3F4F5algebra∎

[(d) all complex L2 solutions are multiples of g0] Let u:R→C be componentwise C2 by [F4] and solve u′′=(y2−1)u. Put W(u):=g0u′−g0′u. Applying the real product rule to the real and imaginary parts gives W(u)′=g0u′′−g0′′u=g0(y2−1)u−(y2−1)g0u=0 using [F1]. Applying [F3] to the real and imaginary parts on any finite interval gives W(u)(y)=W(u)(0)=c, so W(u) is constant. Since g0>0 on all of R, (u/g0)′=W(u)/g02=c/g02, and 1/g02=π1/2ey2 is continuous; applying [F3] separately to the real and imaginary parts and integrating from 0 to y gives u(y)=g0(y)(C+cπ1/2F(y)) for C=u(0)/g0(0). If c≠0, choose Y≥1 so large that ∣c∣πF(y)≥2∣C∣ for all y≥Y; such Y exists by step 1.2. The reverse triangle inequality gives ∣C+cπF(y)∣≥12∣c∣πF(y), hence for y≥Y, ∣u(y)∣≥12∣c∣π1/2g0(y)e(y−1)2=12∣c∣π1/4ey2/2−2y+1 by the lower bound on F, which tends to +∞; hence ∣u(y)∣2≥1 on some half-line [a,∞), and [F3] gives u∉L2. Therefore if u∈L2 then c=0 and u=Cg0.

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