A New GRG Formulation: Circle and Area from Binary Radial Modules

A New GRG Formulation: Circle and Area from Binary Radial Modules

A GRG Formulation: Circle and Area from a Binary Radial Framework

Generative Radial Geometry describes circular measures through a finite binary radial framework. Its working quantities are a radius, a full Turn, a binary resolution, and local chord–tangent constructions.

About the Current GRG Formulation

This page presents the documented binary radial formulation, with geometric definitions and an explicit verification of its measurement kernels. Earlier approaches, including Original Projection and previous Turns formulations, remain part of the research history.

The geometric construction, kernel accuracy, and computational efficiency are separate subjects. The analysis below establishes accuracy for regular symmetric sectors. It does not establish a performance advantage or prescribe an implementation.

The weighted area proposal is documented in A Symmetric GRG Kernel for Area. The geometric ratio notation and proofs below are an analytical clarification of the documented triangles and kernels.

Binary Turns and Resolution

A full rotation is one Turn. Resolve it into equal sectors. The nondegenerate chord–tangent formulas on this page require at least four sectors.

$$
N=2^b,\qquad b\ge2,\qquad R>0.
$$
$$
t_b=\frac1N,\qquad \text{half-sector width}=\frac1{2N}.
$$

One Symmetric Radial Sector

Let a be the distance from the centre to the internal chord, h half that chord, and e half the external tangent side. The tangent is perpendicular to the central radius. The two boundary rays intersect both the circle and this tangent.

$$
a^2+h^2=R^2,\qquad e=R\frac ha.
$$
Symmetric binary radial sector with chord and tangent side A circle with a symmetric radial sector. The internal chord lies between two points on the circle. The external tangent side lies on the tangent line perpendicular to the central radius. O R tᵦ tangent line external tangent side upper sector boundary lower sector boundary internal chord
Figure 1 — Symmetric sector: internal chord, central radius, and external tangent side.

Define dimensionless ratios from these constructed lengths:

$$
c_b=\frac aR,\qquad s_b=\frac hR,\qquad q_b=\frac ha.
$$
$$
c_b^2+s_b^2=1,\qquad q_b=\frac{s_b}{c_b},\qquad c_b=\frac1{\sqrt{1+q_b^2}}.
$$

These symbols denote geometric ratios. They do not specify a trigonometric software routine.

Circumference Kernels

$$
L_i=2h,\qquad L_t=2e.
$$

The arithmetic balance and the classical Snell–Huygens weighted balance give:

$$
\begin{aligned}C_m&=\frac N2(L_i+L_t)=NR(s_b+q_b),\\C_{SH}&=\frac N3(2L_i+L_t)=\frac{2NR}{3}(2s_b+q_b).\end{aligned}
$$

The weighting is a known local arc approximation. This formulation uses it as a kernel within the binary radial framework; the weighting itself is not claimed as an original GRG result.

Area Elements and Kernels

The internal triangle has base 2h and height a. The external triangle has base 2e and height R.

$$
\begin{aligned}I_b&=ah=R^2c_bs_b=R^2\frac{q_b}{1+q_b^2},\\E_b&=Re=R^2q_b.\end{aligned}
$$
$$
A_{\mathrm{in}}=NI_b,\qquad A_{\mathrm{out}}=NE_b.
$$

The arithmetic area estimate and the proposed internal–external weighting are:

$$
\begin{aligned}A_m&=\frac N2(I_b+E_b),\\A_w&=\frac N3(I_b+2E_b).\end{aligned}
$$
$$
A_w=\frac{NR^2}{3}\left(\frac{q_b}{1+q_b^2}+2q_b\right).
$$

Geometric Refinement Bound

The following identity is used to verify regular equal-sector bisection. It is a geometric consequence, not an attribution of a particular numerical algorithm to GRG.

At four sectors the half-sector triangle has equal legs, so q₂ = 1. Bisecting its direction gives the following ratio, obtained by normalising the boundary direction and adding it to the central unit direction:

$$
q_{b+1}=\frac{q_b}{1+\sqrt{1+q_b^2}}.
$$

The denominator is at least two. Induction therefore gives:

$$
0\lt q_b\le 2^{2-b}=\frac4N.
$$

This proves the scale bound needed for the global error estimates. It uses the regular bisection geometry; it does not require a precomputed full-Turn length or area.

Kernel Accuracy: Analytical Verification

Define the local integral below solely as an analytical reference for the exact sector measures. It is not an input to the measurement kernels.

$$
F(q)=\int_0^q\frac{dt}{1+t^2}.
$$

Parameterising the circular boundary by its slope gives exact sector arc length 2RF(q) and exact sector area R²F(q). Thus the fixed full-Turn reference measures satisfy:

$$
C_T(R)=2NRF(q_b),\qquad A_T(R)=NR^2F(q_b).
$$
$$
F(q)=q-\frac{q^3}{3}+\frac{q^5}{5}+O(q^7).
$$

Substitution into the circumference kernels yields:

$$
\begin{aligned}C_m-C_T&=NR\left(\frac{q_b^3}{6}-\frac{q_b^5}{40}+O(q_b^7)\right),\\C_{SH}-C_T&=NR\left(\frac{q_b^5}{10}+O(q_b^7)\right).\end{aligned}
$$

For area:

$$
\begin{aligned}A_m-A_T&=NR^2\left(-\frac{q_b^3}{6}+\frac{3q_b^5}{10}+O(q_b^7)\right),\\A_w-A_T&=NR^2\left(\frac{2q_b^5}{15}+O(q_b^7)\right).\end{aligned}
$$

The area weighting cancels the cubic local residual. Combining these expansions with the geometric scale bound proves, for fixed radius and exact arithmetic:

$$
\begin{aligned}C_m-C_T&=O(N^{-2}),& C_{SH}-C_T&=O(N^{-4}),\\A_m-A_T&=O(N^{-2}),& A_w-A_T&=O(N^{-4}).\end{aligned}
$$

These are asymptotic error statements, not claims of exact equality at finite resolution or guarantees about floating-point performance.

Area Bounds

The geometric inner and outer triangles bound each exact sector. The two balanced area estimates provide a tighter bracket as well:

$$
A_{\mathrm{in}}\le A_m\le A_T\le A_w\le A_{\mathrm{out}}.
$$

For a direct verification, write the normalised kernels as M(q) and W(q). Both differences vanish at zero, and:

$$
\begin{aligned}\frac{d}{dq}\bigl(F(q)-M(q)\bigr)&=\frac{q^2(1-q^2)}{2(1+q^2)^2},\\\frac{d}{dq}\bigl(W(q)-F(q)\bigr)&=\frac{2q^4}{3(1+q^2)^2}.\end{aligned}
$$

Both derivatives are nonnegative for 0 ≤ q ≤ 1, which covers the sectors considered here. Consequently the bracket follows for every b ≥ 2, rather than only for tested resolutions.

Refinement and Quarter-Step Sampling

$$
N_{b+1}=2N_b,\qquad t_{b+1}=\frac{t_b}{2},\qquad \Delta u=\frac{t_b}{4}=\frac1{4N}.
$$

The related area article specifies quarter-step sampling within a module. The verification above concerns the complete sector triangles. An implementation using internal samples must specify how those samples evaluate the same elements; the sampling parameter alone does not define an additional area kernel.

Binary refinement of a radial circle Three circles divided into increasing binary sector counts, showing refinement from coarse radial modules to a smoother circular construction. b = 2, N = 4 b = 3, N = 8 b = 4, N = 16
Figure 2 — Binary sector refinement at N = 4, 8, and 16.

Computational Efficiency and Research Scope

Binary resolution is compatible with binary angular indices and power-of-two scaling. A performance advantage for the complete calculation must nevertheless be measured.

A reproducible comparison must use equal accuracy targets, include generation or retrieval of the local measures, account for precomputation and memory, and specify arithmetic precision, rounding, hardware, and execution time. Stability in fixed-point arithmetic requires a separate error analysis.

The results established here concern the documented regular chord–tangent geometry and its kernels. Historical originality and implementation efficiency are separate investigations.

Interactive Lab + FAQ

Interactive Lab + FAQ

Generative Radial Geometry (GRG)

A discrete–exact grammar for curves and surfaces using turns, chords, and radial projections. π is not imported as a magic constant; it emerges from dyadic steps and converges in the classical limit.

.

Turns-first definitions

We discretize the unit turn; dyadic refinement keeps operations exact on the mesh and drives accuracy.

$$ b \in \mathbb{N}_{\geq 0}, \qquad N = 2^{b} $$
$$ \Delta u = 2^{-(b+2)} \quad \text{(quarter sampling)} \qquad \Rightarrow \qquad \Delta u = \frac{1}{4N}. $$

For a circle of radius \(R\), the inscribed polygon at \(N\) turns has:

$$ P_{N} = 2 N R \sin\!\left(\frac{\pi}{N}\right), \qquad A_{N} = \frac{1}{2} N R^{2} \sin\!\left(\frac{2\pi}{N}\right). $$
Dyadic polygon and chords Circle with an N=16 inscribed polygon, dyadic rays, and a highlighted chord.
Turns, chords, and dyadic rays. Crisp vectors at any zoom.

Interactive Lab

Switch presets and adjust the dyadic exponent \(b\). For the star case \(r(\theta)=1+a\cos(k\theta)\), the exact area is \(A=\pi\!\left(1+\frac{a^{2}}{2}\right)\).

N (turns)
—
Perimeter (approx)
—
Area (approx)
—
Perimeter true
—
Area true
—
Errors (|P|, |A|)
—

Notes. Circle & atlas use exact finite-step formulas (chords) and converge monotonically. Star-shape uses inscribed polygons; C-shape uses odd–even radial sweep for area (perimeter shown exact for reference).

Critical FAQ (condensed)

Q: Is GRG just numerical integration with a trick?
A: For circles with dyadic bisections steps are exact at finite \(N\) (chords & projections). The limit recovers classical values; nothing is imported.

Q: Where does \(\pi\) come from?
A: From the discrete perimeter/area growth of dyadic polygons. \(\pi\) appears as a rotational-symmetry shadow as \(N\to\infty\).

Q: Non-convex shapes “jump across the outside”.
A: We prevent that with visibility-aware schemes: (i) odd–even radial sweep; (ii) radial atlas (locally star-shaped patches with ± signs for outer components/holes).

Q: Convergence?
A: \(O(N^{-2})\) for \(C^{2}\) boundaries; \(O(N^{-1})\) near corners (mitigated via adaptive dyadics). Inscribed perimeter/area are monotone.

Q: Why is GRG pedagogically useful?
A: You can teach Euclidean geometry from bisections and chords; radians & trig tables emerge rather than being prerequisites.

Technical Appendix — Non-Convex & Complex Parametrizations

  1. Star-Check. If a center sees the whole boundary (star-shaped), sample \(\theta\) in dyadic turns and use \(r(\theta)\). Inscribed area/perimeter are monotone \(\uparrow\) with \(O(N^{-2})\).
  2. Odd–Even radial sweep. For each \(\theta_{k}\), intersect the ray with the boundary, sort radii \(r_{k,j}\), and add inside segments \([r_{k,1},\, r_{k,2}],\ [r_{k,3},\, r_{k,4}], \dots\).
  3. Radial atlas (± signs). Decompose into locally star-shaped patches; outer components \(+\), holes \(−\). Sum areas with signs and perimeters by absolute length. Same \(O(N^{-2})\) patch-wise.
  4. Robustness. \(C^{2} \Rightarrow O(N^{-2})\); corners \(\Rightarrow O(N^{-1})\) unless adaptively refined. Self-intersections: use winding rule instead of parity.

All computations use turns, chords, projections; operations are exact at finite dyadic steps for circular primitives and exact on the mesh for polygons.

Team

Roles are presented by responsibility area. Individual bios can be added later.

Team roles pictogram Minimal icons representing research, algorithms, systems, and editorial review.
Role-based structure. Short scope, clear ownership.

Leadership & Research

  • Sets the research agenda and publishes specifications with reproducible examples.
  • Maintains the “turns-first” glossary and consistency across demos and notes.
  • Approves public statements and abstracts before release.

Methods & Algorithms

  • Designs visibility-aware procedures (odd–even sweep, radial atlas with ± signs).
  • Owns convergence studies and baselines for circles, ellipses, and polygons.
  • Runs complexity/accuracy benchmarks; documents limits and mitigations.

Systems & Frontend

  • Implements interactive canvases; keeps demos accessible and performant.
  • Maintains build tooling and test fixtures for numerical correctness.
  • Coordinates localization and analytics (non-invasive, anonymized).

Editorial Review & QA

  • Checks clarity, tone, and scope; enforces the evidence-led style.
  • Validates formulas and captions (MathJax + SVG semantics and accessibility).
  • Controls versioning of figures; ensures non-repetitive hero imagery.

Collaborations

We welcome collaborations with educators and researchers. A public contact form will be added once finalized.

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GRG Speed & Hardware

GRG Speed & Hardware

GRG Computational Cost and Hardware

Binary sector indices and power-of-two scaling motivate investigation of digital implementations. They do not establish a performance advantage for the complete calculation.

Define the Task

Kernel evaluation, generation of radial nodes, drawing a raster boundary, filling a disk, and building a volume are different tasks. Their complexity depends on the output representation and implementation.

Count Complete Costs

Include generation or retrieval of geometric ratios, arithmetic precision, divisions and square roots, precomputation, memory access, and output generation. A final multiplication alone does not describe the complete cost.

Hardware Directions

Possible directions include fixed-point arithmetic, lookup tables, vectorisation, parallel execution, and programmable hardware. Each requires an implementation and measurements; their availability is not a claim that GRG already outperforms alternatives.

Evidence Required

Use the benchmark protocol and publish comparisons at equal achieved accuracy. Test rounding, cancellation, overflow, and refinement limits. State what is geometric identity and what is numerical approximation.

Current Status

The current formulation supplies geometric kernels and accuracy proofs. This page makes no unsupported claim of speed, stability, throughput superiority, or three-dimensional scaling.