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Every outgoing spherical Helmholtz mode is an outgoing Hankel mode

Statement

Let u be a classical solution of (Δ+k2)u=0 for r>a, where k>0, and satisfy the outgoing condition in Sound-soft exterior Helmholtz problem for a spherical obstacle. For each ℓ, its orthogonal projection uℓ(r,⋅) onto Hℓ has the form uℓ(r,⋅)=cℓhℓ(1)(kr) with a fixed vector cℓ∈Hℓ. Before imposing outgoingness, every degree-ℓ coefficient is a linear combination of hℓ(1)(kr) and hℓ(2)(kr)=hℓ(1)(kr)‾. This statement is modewise; it does not assert convergence of the partial-wave series as r→∞.

Facts & Assumptions

Given: A classical outgoing solution on r>a and the spherical harmonic projections.

[F1]

Sound-soft exterior Helmholtz problem for a spherical obstacle: (Δ+k2)u=0 and r(∂r−ik)u→0 uniformly on the sphere.

[F2]

Spherical harmonic modes are orthogonal, complete for continuous data, and have polynomial evaluation bounds: Hℓ has eigenvalue −ℓ(ℓ+1) for ΔS2, and its orthogonal projection is defined in finite dimension.

[F3]

Spherical Bessel and outgoing Hankel function conventions and Spherical Bessel and outgoing Hankel recurrences solve the radial Helmholtz equation: hℓ(1) solves the radial equation, has outgoing asymptotic (−i)ℓ+1eiz/z+O(z−2), and obeys hℓ′=hℓ−1−(ℓ+1)hℓ/z for ℓ≥1. At degree zero its defining formula is h0(1)(z)=−ieiz/z.

[F4]

Outgoing spherical Hankel modes have positive flux and no positive-real zeros: hℓ(1) and its conjugate hℓ(2) have nonzero Wronskian for positive real argument.

Proof

Given: u, k, and the facts [F1]–[F4].

1.1F1F2algebra

Fix ℓ and any v∈Hℓ. Define wv(r)=⟨u(r,⋅),v⟩L2(S2). Integrating the polar-coordinate Helmholtz equation against v, using ΔS2v=−ℓ(ℓ+1)v and the angular integration-by-parts identity from [F2], gives wv′′+2r−1wv′+(k2−ℓ(ℓ+1)r−2)wv=0. Since this holds for every vector in the finite-dimensional space, the projected vector uℓ(r,⋅) solves the same scalar radial equation componentwise.

1.2F3F4algebraconstruct

The two functions hℓ(1)(kr) and hℓ(2)(kr) solve this equation and have nonzero Wronskian by [F3]–[F4]; hence at any fixed r0>a their value-derivative vectors form an invertible 2×2 matrix. Solve this matrix equation to match a coefficient and its derivative at r0. The difference then solves a first-order system Y′=M(r)Y with continuous M and zero initial data. On each compact interval where ∥M∥≤C, integration gives ∣Y(r)∣≤C∫r0r∣Y(s)∣ds (or the reversed integral for r<r0); Grönwall's inequality gives Y=0. Extending across compact intervals proves every coefficient is a linear combination of the two modes.

2.1F1F3step 1.2algebra∎

Apply the uniform radiation condition [F1] to any v∈Hℓ and integrate it against vˉ; its coefficient tends to zero because its magnitude is bounded by the uniform supremum times ∥v∥L1. At ℓ=0, direct differentiation of h0(1)(z)=−ieiz/z gives (h0(1))′=(i−z−1)h0(1), and conjugation gives the corresponding incoming formula. For ℓ≥1 use the derivative recurrence in [F3]. In both cases the asymptotic gives r(∂r−ik)hℓ(1)(kr)→0. For the incoming conjugate, the same recurrence gives r(∂r−ik)hℓ(2)(kr)=−2i (−i)ℓ+1‾e−ikr+o(1), whose magnitude tends to 2. Thus its coefficient in the mode combination from step 1.2 must vanish. Since this holds for every v, the projected vector is cℓhℓ(1)(kr) for a fixed cℓ∈Hℓ. The argument treats each degree separately and uses no interchange of the degree sum with the limit r→∞.

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