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IndisputableMonolith.NumberTheory.DefectSampledTrace

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This module assembles annular meshes for defect phase families by sampling each ring at 8n equispaced angles. Researchers closing the Riemann hypothesis via the RS cost-covering bridge cite it to convert abstract phase data into concrete sampled traces. The module is a definition module whose objects are built directly from the imported AnnularCost and MeromorphicCircleOrder primitives.

claimGiven a defect phase family $F$ on rings of radius $r_n$, the sampled trace produces an annular mesh whose nodes are the values $F(r_n, heta_k)$ at angles $\theta_k = 2\pi k/(8n)$ for $k=0,\dots,8n-1$.

background

The module sits inside the NumberTheory layer that realizes the RS cost-covering architecture. Upstream, AnnularCost supplies the $\phi$-weighted cost function $\mathrm{phiCost}(u) := \cosh((\log\phi)\cdot u)-1 = J(\phi^u)$ together with the annular sampling machinery. CostCoveringBridge packages the three-layer proof architecture that turns realizable budgets into RH contradictions. MeromorphicCircleOrder bridges Mathlib meromorphic-order data to the annular framework by supplying the local factorization $f(z)=(z-\rho)^n g(z)$ with $g(\rho)\ne0$.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the concrete sampled traces required by ArgumentPrincipleProved (which eliminates the argument_principle_sampling axiom), CarrierBudgetComparison (which compares carrier and defect budgets on the same circles), EulerInstantiation (which instantiates the Euler product inside the RS carrier/sensor framework), and HonestPhaseBudgetBridge (which turns perturbation witnesses into bounded annular excess data). It therefore closes the sampling step that converts abstract phase families into the witnessed cost bounds needed for the RH closure plan.

scope and limits

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depends on (3)

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declarations in this module (25)