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Kij=−LqiqjK^{ij}=-\mathcal L_{q_iq_j}. At the branch, in phase, horizontal, scalar-support, vector-support, frame and flow order,

P/ρ0=diag⁡(1/b,ϵI,MW/npeak,MZI/npeak,κFI,κUI),Bi=0, P/\rho_0=\operatorname{diag}(1/b,\epsilon I,M_W/n_{\rm peak}, M_ZI/n_{\rm peak},\kappa_F I,\kappa_U I),\qquad B^i=0, Kij/ρ0=δijdiag⁡(κ,ϵI/4,γA/npeak,γBw02Inpeak(1+w02),κFcF2I,κUcU2I). K^{ij}/\rho_0=\delta_{ij}\operatorname{diag} \left(\kappa,\epsilon I/4,\gamma_A/n_{\rm peak}, \frac{\gamma_Bw_0^2 I}{n_{\rm peak}(1+w_0^2)}, \kappa_Fc_F^2I,\kappa_Uc_U^2I\right).

Both full matrices are positive on every fixed finite spatial collar. Smoothness preserves this positivity for sufficiently small full first jets there. With V=qt,Di=∂iqV=q_t,D_i=\partial_iq, the first-order principal system has

A0=diag⁡(P,K),Ai=(Bi−Kij−Kki0). A^0=\operatorname{diag}(P,K),\qquad A^i=\begin{pmatrix}B^i&-K^{ij}\\-K^{ki}&0\end{pmatrix}.

These matrices are symmetric, and A0>0A^0>0. The exact gradient equations give ∂t(Di−∂iq)=0\partial_t(D_i-\partial_iq)=0, so compatible initial data recover the full second-order Euler system. Lower-order support, flow and label connections remain in its source.

For each finite RR and integer σ≥7\sigma\ge7, sufficiently small data supported in ∣x∣≤R|x|\le R, with q0∈Hσ+1q_0\in H^{\sigma+1} and q1∈Hσq_1\in H^\sigma, therefore have a unique short-time solution with q∈CHσ+1q\in C H^{\sigma+1}, qt∈CHσq_t\in C H^\sigma and qtt∈CHσ−1q_{tt}\in C H^{\sigma-1}. The first-order state depends locally Lipschitz-continuously on data in Hσ−1H^{\sigma-1} and continuously in Hσ′H^{\sigma'} for σ′<σ\sigma'<\sigma. The external local symmetric-hyperbolic theorem is applied only after establishing these matrices and constraints.

For spatial localization, extend the positive normalized P,KP,K by convex blending with constant positive matrices, and extend BB and the zero-source branch smoothly outside a larger collar. First restrict time using the extended system's finite speed, then use the physical unit cone on the unchanged collar. Uniqueness gives support inside R+∣t∣R+|t| and permits gluing to the exact exterior branch. This does not assume an arbitrary extension retains unit speed.

The admissible size and lifespan depend on RR. Although the relative support algebra contains no negative powers of w0w_0, the vector speed cZ=γB/MZ w0/1+w02c_Z=\sqrt{\gamma_B/M_Z}\,w_0/\sqrt{1+w_0^2} vanishes at infinity. Thus this argument gives no uniformly coercive unrestricted-tail theorem. A failed weighted first-order estimate is not an ill-posedness proof. No nonlinear stability, trajectory toward a lower-energy preparation or particle lifetime follows. The amended nonlinear-relative-chart/report.md and its independent review give the complete action, proof, explicit constraint charts and external theorem attribution. Both phase-edge and entropy-coefficient choices and all six maintained depths are covered.

Actual-Count Affine Disturbance Inertia

The affine inertia can be bounded at the actual maintained counts without assembling their very large occupation matrices. All inverses below act on the finite sum-zero occupied tangent where appropriate. Let S=HaTHaS=H_a^TH_a, ao=2γ/ϵa_o=2\gamma/\epsilon, δ=ω−1/κ\delta=\omega-1/\kappa, and retain δI>ϵS\delta I>\epsilon S. Define

C=HaT(aoAo)−1Ha,T=4κϵ(δI−ϵS)(κωδI−ϵS)−1. C=H_a^T(a_oA_o)^{-1}H_a,\qquad T=\frac{4\kappa}{\epsilon}(\delta I-\epsilon S) (\kappa\omega\delta I-\epsilon S)^{-1}.

Eliminating the full independent-flow block of M0M_0 gives the occupation block aoAo+HaTHaTa_oA_o+H_aTH_a^T and affine source (ω/2)HaT(\omega/2)H_aT. Woodbury reduction, including the separate positive eliminated-flow term, then gives exactly

MA=ωϵI−ω24(C+T−1)−1,S<MA<ωϵI. M_A=\frac\omega\epsilon I-\frac{\omega^2}{4}(C+T^{-1})^{-1}, \qquad S<M_A<\frac\omega\epsilon I.

CC is a compression of the full inverse; it is generally not the inverse of the affine compression. Active-axis permutation symmetry implies two channels, parallel and perpendicular to the all-ones vector. It does not make the affine range invariant under AoA_o. The covariance eigenvalues are

λ⊥=N(N+d+1)(d+1)(d+2)ℓ2,λ∥=λ⊥d+1. \lambda_\perp=\frac{N(N+d+1)}{(d+1)(d+2)\ell^2},\qquad \lambda_\parallel=\frac{\lambda_\perp}{d+1}.

Set D=(N+dd)D=\binom{N+d}{d} and q=N/(d+1)q=N/(d+1). The actual directed occupation graph sums give the following exact affine Hessian contraction:

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