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TheoremStatement: Literature-sourcedProof: AI-generatedPipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
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Acoustic and inertial finite-mode solutions

Statement

Let I⊆R be a nonempty open time interval, let ρ0>0, let P:(0,∞)→R have two continuous derivatives, and put χ=P′(ρ0). Use standard right-handed Cartesian coordinates x=(x1,x2,x3)∈R3 and their usual gradient and divergence. For real t, use the real functions S(t)=Re⁡((eit−e−it)/(2i)) and C(t)=Re⁡((eit+e−it)/2), with ez=∑n=0∞zn/n! and Re⁡(x+iy)=x. Define the linear acoustic system on I×R3 at the constant rest state by taking the coefficient of ϵ in the barotropic mass and momentum equations with constant potential, ρ=ρ0+ϵr and u=ϵv; the resulting equations are ∂tr+ρ0div⁡v=0 and ∂tv=−(χ/ρ0)∇r. The displayed modes have continuous first time and first and second spatial partial derivatives on this domain. This is a first-variation system; no nonlinear approximation error is asserted.

If χ>0, let c=χ>0. For a nonzero spatial wave vector k∈R3, a real density amplitude A with ∣A∣<ρ0, and a real temporal frequency ω, set θ=k⋅x−ωt and

r(t,x)=AC(θ),v(t,x)=Aωρ0∣k∣2kC(θ).

For A≠0 this mode solves the linear acoustic system exactly if and only if ω2=χ∣k∣2; when A=0 it is the zero solution for every ω. In the optional SI interpretation, [ρ0]=[A]=[r]=kg m−3, [v]=m s−1, [χ]=m2 s−2, [c]=m s−1, [k]=m−1, and [ω]=s−1. If the mode is read as the density field ρ0+r, the stated bound on A ensures it stays positive.

If χ<0, then for every k≠0 and real A, λ=∣k∣−χ>0 and

r(t,x)=AeλtC(k⋅x),v(t,x)=−λAρ0∣k∣2keλtS(k⋅x)

solve the same linear system and give an exponentially growing Fourier mode when A≠0. This is a statement about the linear system, not a claim that a positive full density exists for all times.

For the rotating linear system on R×R3, let Ω∈R3 be constant and k∈R3∖{0}. Set e=k/∣k∣, choose a unit vector a⊥e, and put b=e×a, α=2Ω⋅e, z(t)=aC(αt)−bS(αt), and β(t)=e⋅(2Ω×z(t)). The proof constructs such a choice of a for every unit e. For any real W, the fields

w(t,x)=Wz(t)C(k⋅x),q(t,x)=−Wβ(t)∣k∣S(k⋅x)

solve ∂tw+2Ω×w=−∇q and div⁡w=0. These rotating fields have continuous first time and first and second spatial partial derivatives. The signed frequency is α, so ∣α∣≤2∣Ω∣; when α=0, z is stationary and no division by α is used. In SI units, [k]=m−1, [Ω]=[α]=[β]=s−1, [W]=m s−1, and [q]=m2 s−2. These are exact finite-mode solutions of the specified linear systems, not nonlinear fluid solutions or turbulence results.

Statement references

Facts & Assumptions

Given: The domains, regularity, constants, modes, and parameter cases in the Statement. All systems are mathematical equations; the optional SI assignments do not assert a physical model.

[A1]

Barotropic equations: ∂tρ+div⁡(ρu)=0 and ∂tu+(u⋅∇)u=−ρ−1∇(P(ρ))−∇V (Formal parameterized fluid systems and observables).

[A2]

Rotating linear equations: ∂tw+2Ω×w=−∇q and div⁡w=0 (Formal parameterized fluid systems and observables).

[F1]

The functions S,C are the real restrictions defined in Real sine and cosine as real restrictions of complex trigonometric functions and satisfy S′=C, C′=−S (Derivative identities for the real restrictions of complex sine and cosine).

[F4]

The real exponential satisfies (et)′=et (The exponential function is smooth and (exp⁡)′=exp⁡).

[F6]

In R3, the cross product has its coordinate formula, is bilinear and alternating, is orthogonal to each factor, and ∣u×v∣2=∣u∣2∣v∣2−⟨u,v⟩2 (The cross product in R3, The cross product is bilinear, alternating, and orthogonal to both factors, The squared cross-product norm is the Gram determinant of two vectors).

[F9]

For a,b,c∈R3, a×(b×c)=b⟨a,c⟩−c⟨a,b⟩ (The vector triple-product identity in R3).

Proof

1.1givenA1F1F3F4F6algebra

Let ρϵ=ρ0+ϵr and uϵ=ϵv with constant V. The mass residual expands as ∂tρϵ+div⁡(ρϵuϵ)=ϵ(rt+ρ0div⁡v)+ϵ2div⁡(rv). The momentum residual has ∂tuϵ+(uϵ⋅∇)uϵ=ϵvt+ϵ2(v⋅∇)v, while the chain rule gives ∇P(ρϵ)=ϵP′(ρ0+ϵr)∇r. At each point ρϵ>0 for sufficiently small ∣ϵ∣, and P′(ρ0+ϵr)/ρϵ→χ/ρ0. Thus the coefficients of ϵ in the two residuals are exactly the stated linear acoustic equations; this first-variation calculation supplies no error estimate for nonzero ϵ. For regularity, [F1] gives differentiability and hence continuity of S,C, and differentiating its identities yields S′′=C′=−S and C′′=−S′=−C, both continuous. Each displayed spatial mode is a time-dependent coefficient times S or C composed with an affine function of x; twice applying [F3] gives its first and second spatial partial derivatives, which are continuous by these identities. The time-dependent coefficients eλt, z(t), and β(t), when present, have continuous first derivatives by [F1], [F3], and [F4] (in particular, β′(t)=e⋅(2Ω×z′(t))). Therefore the displayed first time partials are continuous as well.

1.2givenF1F3

Put θ=k⋅x−ωt. By [F1] and [F3], rt=AωS(θ), ∇r=−AkS(θ), and div⁡v=−AωS(θ)/ρ0, so rt+ρ0div⁡v=0.

1.3givenF6F7F8algebra

Let e=k/∣k∣. At least one standard coordinate unit vector d is not parallel to e, since the three coordinate vectors are linearly independent by [F8]. Put y=d−⟨d,e⟩e; then y≠0 and ⟨y,e⟩=0. Set a=y/∣y∣ and b=e×a. By [F6], b is orthogonal to e and a, and ∣b∣2=∣e∣2∣a∣2−⟨e,a⟩2=1. The three orthonormal vectors are linearly independent; since R3 has dimension three by [F8], they form a basis.

2.1givenF1F2step 1.1step 1.2algebra

Also vt=Aω2kS(θ)/(ρ0∣k∣2), while −(χ/ρ0)∇r=χAkS(θ)/ρ0. Since k≠0, varying x makes θ range over R. From the displayed definition of C and E(0)=∑n=0∞0n/n!=1, we have C(0)=Re⁡((1+1)/2)=1; [F1] then gives S′(0)=C(0)=1, so S is not identically zero. Thus for A≠0 these expressions agree for all x,t exactly when ω2=χ∣k∣2; if A=0 both fields vanish. Finally [F2] gives ρ0+r≥ρ0−∣A∣>0 under the stated amplitude bound.

2.2givenA1F1F3F4F5step 1.1algebra

Suppose χ<0, let λ=∣k∣−χ, and use the stated growing fields. With ϑ=k⋅x, [F1], [F3], and [F4] give rt=λAeλtC(ϑ) and div⁡v=−λAeλtC(ϑ)/ρ0, so the mass equation holds. They also give vt=−λ2AeλtkS(ϑ)/(ρ0∣k∣2) and −(χ/ρ0)∇r=χAeλtkS(ϑ)/ρ0; these agree because λ2=−χ∣k∣2. Thus the Fourier mode grows as eλt in the linear system.

2.3givenF6F7F9step 1.3algebra

By [F9], e×b=e×(e×a)=−a and a×b=a×(e×a)=e. Write Ω⊥=Ω−⟨Ω,e⟩e=Ωaa+Ωbb and z=zaa+zbb. Bilinearity and alternation from [F6] give Ω⊥×z=(Ωazb−Ωbza)e. Since Ω=⟨Ω,e⟩e+Ω⊥, it follows that Ω×z=⟨Ω,e⟩(e×z)+(Ωazb−Ωbza)e. The map Πy=y−⟨y,e⟩e fixes e×z and annihilates the last term, so Π(Ω×z)=⟨Ω,e⟩e×z.

3.1givenF1step 1.3step 2.3algebra

Differentiating z(t)=aC(αt)−bS(αt) with [F1] gives z′=−αaS(αt)−αbC(αt). The identities e×a=b and e×b=−a from steps 1.3 and 2.3 give e×z=bC(αt)+aS(αt). Hence z′=−αe×z=−2Π(Ω×z).

4.1givenA2F1F7step 2.3step 3.1∎

By the definition of β and step 2.3, 2Ω×z=αe×z+βe, so step 3.1 gives z′+2Ω×z=βe. Consequently ∂tw+2Ω×w=WβeC(k⋅x); also div⁡w=WC′(k⋅x)z⋅k=0, and −∇q=WβeC(k⋅x) by [F1]. Thus the rotating equations hold. Finally ∣α∣=2∣⟨Ω,e⟩∣≤2∣Ω∣ by [F7] and ∣e∣=1; when α=0 no division by α occurs.

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