Scientific correction — 13 October 2026
The application intervals and charts on this historical page are proposals or illustrations, not certified bounds for arbitrary fields or validated performance results. Certification requires assumptions on each integrand, a proved quadrature residual, rounding control, and propagation through subsequent transformations. Regular circular-sector bounds do not automatically bound optical, chemical, or anisotropic quantities.
Current reference: Circle and Area from Binary Radial Modules.
GRG — Unified Update: Examples, Validation, Mini-App, and Anisotropic Extension
This unified page consolidates the latest GRG status: cross-domain numerical examples (optics and chemistry), an external validation plan against standard bases (e.g., Zernike), public Mini-App notes, and a practical recipe for anisotropic, non-radial systems via wedge-stratified GRG. All formulas use turns-first dyadic refinement with proposed (not independently certified) corridors for auditable error control.
Key Takeaways
- π-free numerics. GRG avoids
\piin accumulation, without establishing an improvement in numerical precision or performance. - proposed (not independently certified) corridors. The proposed workflow seeks upper/lower bounds; validity must be established for each integrand; stopping rules are explicit.
- Interdisciplinary reach. Geometry, optics, chemistry, and beyond—all under a single corridor framework.
- Open path to validation. Public scripts, datasets, and side-by-side benchmarks with standard methods.
Numerical Example A — Optics (MTF at a Target Frequency)
Goal. Maximize on-axis contrast at target spatial frequency using corridor-aware sampling. We set unit pupil and dyadic refinement with b \in \mathbb{N}_{\ge 0}, N = 2^b, and \Delta u = 2^{-b-2}.
Illustrative setup. Clear pupil (P=1). Apodizer family A_\alpha(\rho)=\rho^\alpha. Target frequency f^\star is scaled to the unit pupil. For each b, GRG produces an estimate and a proposed (not independently certified) corridor.
f^\star with GRG corridors (illustrative values).| b | N=2^b | Δu | MTF est. | Corridor ± |
|---|---|---|---|---|
| 4 | 16 | 2^{-6}=0.015625 | 0.412 | ±0.020 |
| 5 | 32 | 2^{-7}=0.0078125 | 0.417 | ±0.012 |
| 6 | 64 | 2^{-8}=0.00390625 | 0.419 | ±0.007 |
| 7 | 128 | 2^{-9}=0.001953125 | 0.420 | ±0.004 |
Practical stop. Choose the smallest b such that the corridor half-width is below a task tolerance \tau.
Numerical Example B — Chemistry (Radial Distribution Function)
Goal. Estimate a smooth radial distribution in a dense cluster (e.g., ligand shell) using dyadic radii and corridor-aware accumulation. After mild smoothing with a compact kernel, corridors certify stability across small samples.
| Radius r | Δu | g(r) estimate | Corridor ± |
|---|---|---|---|
| 0.20 | 2^{-8} | 1.38 | ±0.06 |
| 0.40 | 2^{-8} | 0.97 | ±0.05 |
| 0.60 | 2^{-8} | 0.81 | ±0.04 |
| 0.80 | 2^{-8} | 0.76 | ±0.04 |
Interpretation. Corridor-aware RDF avoids over-reading small oscillations and makes cross-dataset comparisons fair and reproducible.
Validation Plan — Public, Scriptable, Comparable
We will release side-by-side benchmarks with open scripts and datasets. Figures and tables will include corridors so decisions are auditable.
- Tasks: PSF/MTF fitting; surface reconstruction; denoising with corridor stops; radial distributions.
- Baselines: Zernike, polar B-splines, Fourier-Bessel, and pixel discretizations.
- Artifacts: One-command scripts; dataset DOIs; fixed seeds/parameters; CSV outputs for independent plotting.
Mini-App — Visibility & Usability
The public demo exposes corridor overlays, a b slider, CSV/PNG export, and presets (optics/chemistry). A short screencast walks through an optimization and a corridor-based stopping rule.
Anisotropy — Wedge-Stratified GRG for Non-Radial Systems
Idea. Partition each ring into W angular wedges. Corridors apply per wedge; proposed (not independently certified) aggregation preserves guarantees. Increase W where angular gradients are steep.
FAQ — What’s New Here?
- Concrete cross-domain demos: optics (MTF) and chemistry (RDF) with corridor-aware tables/plots.
- External validation: transparent plan, open artifacts, standard baselines.
- Mini-App: public demo with overlays, dyadic control, CSV/PNG export, and a short screencast.
- Non-radial systems: wedge-stratified recipe with simple heuristics for
Wallocation.
