. At the branch, in phase, horizontal, scalar-support, vector-support, frame and flow order,
Both full matrices are positive on every fixed finite spatial collar. Smoothness preserves this positivity for sufficiently small full first jets there. With , the first-order principal system has
These matrices are symmetric, and . The exact gradient equations give , 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 and integer , sufficiently small data supported in , with and , therefore have a unique short-time solution with , and . The first-order state depends locally Lipschitz-continuously on data in and continuously in for . The external local symmetric-hyperbolic theorem is applied only after establishing these matrices and constraints.
For spatial localization, extend the positive normalized by convex blending with constant positive matrices, and extend 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 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 . Although the relative
support algebra contains no negative powers of , the vector speed
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 , , , and retain . Define
Eliminating the full independent-flow block of gives the occupation block and affine source . Woodbury reduction, including the separate positive eliminated-flow term, then gives exactly
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 . The covariance eigenvalues are
Set and . The actual directed occupation graph sums give the following exact affine Hessian contraction: