Endpoint Trace / Schur Visualizer

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What We Are Doing

We are studying whether a Weyl/Volterra kernel is positive. The endpoint model has a tiny negative direction. The moving trace Lambda_a(f) detects that direction. If we remove functions with nonzero endpoint trace, the remaining form becomes positive in the finite tests.

Jet matrix Derivatives of K(s,t) at one point. A negative eigenvalue means a local endpoint obstruction.
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Trace family The lowest eigenvector gives Lambda_a(f)=sum e_k(a) f^(k)(a)/k!.
Split space V = ker R + U, where Rf=(Lambda_a f).
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Schur / Douglas test Prove |b(n,u)|^2 <= C a(n,n)||u||^2 and positivity on ker R.

Proof Audit Image Board

These pictures summarize the current publication audit: which proof links are riskiest, what kind of evidence each link uses, and how the reachable theorem graph fans out from the RH/de Branges bridge ledger.

highest-risk blockers symbolic wrappers
analytic symbolic interval numerical

9 x 9 Endpoint Jet Matrix at s0 = 0.5

positive negative near zero

Lowest Jet Eigenvector

This vector is the local functional coefficients. The entry at index k multiplies f^(k)(s0)/k!.

Moving Endpoint Defect

The lowest eigenvalue stays negative until about s* = 0.5530736. That is the active endpoint interval.

lambda0 lambda1 s*

Coefficient Field e(a)

This shows why a single global eighth-order ODE chart fails: e8(a) crosses zero near 0.1646167.

e0 e7 e8 e8 zero

Schur / Douglas Numbers

These are the finite shadows of the continuum proof. The important quantities are positivity on ker R, zero range residual, and bounded Gamma*Gamma = B*A^+*B.

Endpoint Douglas Refinement

This is the current decisive test. If the finite Douglas constant Gamma*Gamma = B*A^+*B blows up as the basis grows, the continuum estimate is probably false or using the wrong norm. In this endpoint stress scan it decreases.

log10 Gamma^2 max log10 K|ker R min

Top Douglas Eigenvector

This is the finite \(U\)-direction that makes Gamma*Gamma = B*A^+*B largest. The paired ker R witness is A^+ B u. The plot shows normalized shapes so the two curves can be compared on the same axis.

top U direction cross source h paired ker R witness
sampled trace values Ru

Hardy Boundary-Layer Profile

The paired witness A^+Bu is the Riesz solution that a Hardy estimate must control. Its mass is strongly concentrated near the right endpoint.

Riesz Spectral Amplification

The energy of A^+Bu is not carried by one endpoint mode. The smallest modes dominate the witness norm, while several mid modes carry most of the Douglas energy. That is why the next proof target is a Hardy/Green estimate, not a rank-one extremizer guess.

Riesz Spectral Refinement

This scan separates the visible boundary layer from the energy estimate. The witness norm stays in the two lowest modes, but the Douglas energy moves into mid modes as the section grows.

Windowed Hardy / Green Constants

For each spectral window I, this scans lambda_max(B* P_I A_I^-1 P_I B). The full window is the Douglas constant; the proper windows show which bands the analytic Hardy estimate has to control.

High-Frequency Tail Refinement

This increases basis and trace samples together. It tests whether the source tail becomes small once the moving trace is resolved, rather than only in one fixed finite section.

Source Packet Tracking

The apparent tail motion is mostly insertion of new tiny eigenvalues at the low end. This table tracks the packet and compares it with a fixed spectral cutoff.

Three-Part Certificate

This is the current proof split in finite form: pick a cutoff for the finite Schur block, bound the spectral tail, and check whether sampled endpoint traces approximate the moving continuum trace.

Endpoint Trace Refinement

This holds the basis fixed and increases sampled trace constraints. Dense trace leakage drops rapidly, showing that the continuum trace condition is the right object and sparse sampling was the source of the low-mode leak.

Full Theta Tail Visuals

These images use the finite reduced-Volterra certificate directly: active two-plane matrices, log-scale perturbation ratios, source spectral separation, and the quadratic-form landscape on the active plane.

positive negative
tail ratios safety thresholds
source eigenvalues quadrature error
active quadratic form tail overlay

Exact Between-Node Crossing

The normalized endpoint eigenrow is enclosed between collocation nodes on eight overlapping complex disks. The undivided graph equation then crosses the simple zero of a8 inside a certified continuous solution tube.

log10 q=8 Cauchy radius log10 eigenpair tube radius simple crossing
residual eta linear term quadratic term certified slack

Endpoint Grassmann Flow

The endpoint map is still badly scaled in raw coordinates, so the rank test is now tracked in normalized exterior coordinates. The persistent chart is the active minor that stays away from zero.

|p_hat chart minor|
projective distance
Rounded-ball finite interval enclosure used by the Krawczyk step

Fixed Representer Visuals

The direct source rows are the real theorem. The fixed-jet plots are still useful diagnostics, but the proof now keeps the Lagrange source rows together and uses interval trace range plus source-inactive tail control.

k_s0^hi
p p' p''
positive negative
b0 b1 b2 b4 b6
log eval cover log boundary log d-boundary
log eval tower log D7 tower
log E high/full log dE high/full
global E local E
log trace/source log trace L2
log active C log full ker/source log beta frac
log min active trace log max full leak
boundary C, u=.30 eval C, u=.30 eval C, u=.08

Top Vector Stability Scan

The Douglas constant decreases, but the low-order eigenvector shape is not fully stable yet. Low correlation means the finite top direction is still moving as the Galerkin space changes.