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PropositionStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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Positive Fourier inverse for the linearized CMC constraint

Physical scope

Fourier analysis of the linearized vacuum CMC constraint operator at the stated flat-torus solution; it proves a positive linear inverse and no nonlinear nearby-data existence theorem.

Statement

Let Σ=T2π3 with dimensionless coordinates xi(mod2π) and flat conformal metric h~=L∗2∑i=13(dxi)2, where L∗>0 is a fixed reference length. Suppose σ~ has constant squared norm A>0 and τ≠0, and let ϕ0 be the positive constant solution in the preceding proposition. Put c:=7Aϕ0−8+103τ2ϕ04>0. The directional linearization of the Lichnerowicz scalar expression at ϕ0 is Av=−8Δ~v+cv. It is strictly positive on nonzero smooth real v. For every integer s≥2, the same differential expression, interpreted using weak derivatives, defines a bounded bijection A:Hs+2(T2π3)→Hs(T2π3). With Fourier coefficients relative to the normalized torus measure, its inverse is A−1f^(k)=f^(k)8L∗−2∣k∣2+c,k∈Z3, and, for Ns(f)2:=∑k(1+∣k∣2)s∣f^(k)∣2, Ns+2(A−1f)≤min⁡{8L∗−2,c}−1Ns(f). The equivalent derivative Sobolev norms therefore give a bounded Hs→Hs+2 inverse. This linear result does not assert nonlinear differentiability of the constraint map or nearby-data solvability.

Statement references

Facts & Assumptions

Given: The flat torus with L∗>0, constant A>0 and τ≠0, and ϕ0>0 as in the preceding proposition. Assume ACω for the Fourier Sobolev suppliers and inherited embedded Lorentzian interpretation. Let χk([x])=eik⋅x and f^(k)=∫fχk‾ dμ use the normalized measure μ of the torus supplier.

[A1]

The Axiom of Countable Choice (ACω), Vacuum conformal constraint data, The 2 pi-periodic three-torus, its normalized measure, test functions and the Sobolev spaces H^s, Periodic Fourier differentiation identity and equivalence of the derivative and Fourier-weight Sobolev norms: ACω is the axiom that every countable family of nonempty sets has a choice function; the Fourier Sobolev suppliers state it explicitly, and the local GR definition carries it only for embedded interpretation.

[F1]

Vacuum conformal constraint data: ϕ is positive and dimensionless; the metric's Christoffel symbols use the Levi-Civita formula, curvature is computed from that connection, and Δ~ is its metric Laplacian.

[F2]

Conformal reduction of the vacuum constraint equations: the scalar expression is C(ϕ)=−8Δ~ϕ+R~ϕ−∣σ~∣h~2ϕ−7+(2/3)τ2ϕ5.

[F3]

Exact positive constant solution of the CMC constraint equation: ϕ0>0 solves this equation for the stated flat constant seed data.

[F4]

The 2 pi-periodic three-torus, its normalized measure, test functions and the Sobolev spaces H^s: the torus is R3/(2πZ)3, smooth functions lift to smooth periodic functions, its normalized measure is Lebesgue measure on a fundamental cube divided by (2π)3, its characters are indexed by k∈Z3, and Hs is defined by weak derivatives.

[F5]

Periodic Fourier differentiation identity and equivalence of the derivative and Fourier-weight Sobolev norms: the Fourier differentiation identity holds and Ns is equivalent to the derivative Sobolev norm for every nonnegative integer s.

[F6]

The Fourier basis and Parseval's identity on the finite torus: the Fourier coefficient map is a surjective isometry from complex L2 onto ℓ2(Z3); real-valued inputs have conjugate-symmetric coefficients.

[F8]

A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value: every continuous real-valued function on a nonempty compact metric space is bounded and attains its extrema.

Proof

1.1A1F1F2F3F4F7F8algebra

For a fixed smooth real direction v, its periodic lift is continuous on the nonempty compact box [0,2π]3 by [F4, F7], so [F8] gives a finite bound V:=sup⁡∣v∣. If V>0, choose ∣ϵ∣<ϕ0/(2V); if V=0, positivity is immediate. In either case ϕ0+ϵv>0 for all such directions and sufficiently small ∣ϵ∣. Every term in c is positive because A>0, ϕ0>0 and τ≠0. Since h~ij=L∗2δij, the Christoffel formula in the conformal-data definition gives Γ~kij=0 in the local periodic charts. The curvature definition then gives R~=0, and the Laplacian formula gives Δ~=L∗−2∑i∂i2. Differentiating the scalar expression [F2] at the constant ϕ0 gives −8Δ~v from its linear Laplacian term, zero from R~=0, 7Aϕ0−8v from −Aϕ−7, and (10/3)τ2ϕ04v from (2/3)τ2ϕ5. Thus its directional linearization is A=−8Δ~+c. For each i, periodicity makes the integral of ∂i(v∂iv) over one period zero; expanding that derivative gives ∫v∂i2v dμ=−∫(∂iv)2 dμ. Summing over i therefore yields ∫vAv dμ=8L∗−2∫∣∇0v∣2 dμ+c∫v2 dμ>0 for every nonzero smooth real v: choose a point where v≠0; continuity gives a coordinate box of positive torus measure on which ∣v∣ is bounded below by a positive constant, so ∫v2dμ>0. Here ∇0v=(∂1v,∂2v,∂3v).

2.1F4F5F6step 1.1algebra∎

For any v∈Hs+2, the weak-derivative Fourier identity [F5] gives Av^(k)=akv^(k) with ak=8L∗−2∣k∣2+c. Since c>0, every ak>0, and ak≥m(1+∣k∣2) for m:=min⁡{8L∗−2,c}>0; also ak≤M(1+∣k∣2) for M:=max⁡{8L∗−2,c}. The upper bound proves Ns(Av)≤MNs+2(v). Norm equivalence in [F5] therefore makes the weak operator bounded for the derivative Sobolev norms. For real f∈Hs, [F6] gives f^(−k)=f^(k)‾. Since a−k=ak is real, v^(k):=f^(k)/ak has the same conjugate symmetry and therefore [F6] gives it a unique complex L2 representative v. The coefficient definition gives v‾^(k)=v^(−k)‾=v^(k), so injectivity of the coefficient isometry [F6] yields v‾=v in L2. The lower bound gives Ns+2(v)2=∑k(1+∣k∣2)s+2ak2∣f^(k)∣2≤m−2Ns(f)2. The lower bound makes the coefficient sequence square-summable with weight (1+∣k∣2)s+2; [F5] then gives v∈Hs+2, with Av=f. If Av=0, then akv^(k)=0 for every k, hence all coefficients vanish and v=0. This proves surjectivity, injectivity and the asserted inverse bound for every integer s≥2.

Remarks

The zero Fourier mode is invertible because a0=c>0. The result supplies the linear inverse only; a nonlinear implicit-function argument would also require an explicitly proved positive-open domain and composition estimates.

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