Merge pull request 'feat(geometry): pn_geometry.hpp — Pn projective-metric substrate (jReality port)' (#31) from feat/pn-geometry-substrate into main
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This commit is contained in:
2026-05-30 15:26:23 +00:00
4 changed files with 314 additions and 2 deletions

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#pragma once
// Copyright (c) 2024-2026 Tarik Moussa.
// SPDX-License-Identifier: MIT
// pn_geometry.hpp
//
// Projective-metric geometry substrate — faithful port of the
// `de.jreality.math.Pn` surface that the Java algorithmic core
// uses pervasively:
// HyperbolicLayout, SphericalLayout, FundamentalPolygon,
// KoebePolyhedron, quasi-isothermic utilities, hyperelliptic θ.
//
// Porting this ~30-function surface once unblocks every downstream
// geometric phase (9c / 10c' / 10e / 11c) instead of re-deriving the
// metric ad hoc per phase.
//
// ┌──────────────────────────────────────────────────────────────────┐
// │ Metric signature convention (matches jReality exactly) │
// │ │
// │ EUCLIDEAN = 0 ⟨u,v⟩ = Σ_{i<last} uᵢvᵢ (spatial) │
// │ ELLIPTIC = +1 ⟨u,v⟩ = Σ_{all} uᵢvᵢ (S^n) │
// │ HYPERBOLIC = -1 ⟨u,v⟩ = u_last·v_last Σ_{i<last} uᵢvᵢ │
// │ (Minkowski; last coord = timelike) │
// │ │
// │ HYPERBOLIC uses the timelike-positive ("upper sheet") convention│
// │ so a normalised hyperbolic point satisfies ⟨p,p⟩ = +1 and │
// │ ⟨p,q⟩ ≥ 1 → d(p,q) = acosh(⟨p,q⟩) directly. │
// │ This is identical to projective_math.hpp::hyperbolicDistance, │
// │ against which pn_distance_between(..., HYPERBOLIC) is anchored. │
// └──────────────────────────────────────────────────────────────────┘
//
// Vectors are Eigen column vectors (homogeneous, length = dim+1).
#include <Eigen/Core>
#include <cmath>
#include <algorithm>
namespace conformallab {
/// Metric signatures matching `de.jreality.math.Pn`.
enum PnMetric : int {
PN_EUCLIDEAN = 0,
PN_ELLIPTIC = +1,
PN_HYPERBOLIC = -1
};
// ── Inner product ─────────────────────────────────────────────────────────────
/// Bilinear form ⟨u,v⟩ for the given metric.
/// Spatial part = all but the last coordinate; the last coord is the
/// homogeneous/timelike one.
inline double pn_inner_product(const Eigen::VectorXd& u,
const Eigen::VectorXd& v,
int metric)
{
const int n = static_cast<int>(u.size());
const double spat = u.head(n - 1).dot(v.head(n - 1));
const double last = u(n - 1) * v(n - 1);
switch (metric) {
case PN_HYPERBOLIC: return last - spat;
case PN_ELLIPTIC: return last + spat;
case PN_EUCLIDEAN:
default: return spat;
}
}
// ── Norm / scale ──────────────────────────────────────────────────────────────
/// Metric norm √|⟨p,p⟩|. Absolute value guards against tiny negative
/// round-off in the Euclidean / hyperbolic degenerate cases.
inline double pn_norm(const Eigen::VectorXd& p, int metric)
{
return std::sqrt(std::abs(pn_inner_product(p, p, metric)));
}
/// Dehomogenise: divide by the last component (jReality `Pn.dehomogenize`).
inline Eigen::VectorXd pn_dehomogenize(const Eigen::VectorXd& p)
{
return p / p(p.size() - 1);
}
/// Scale `p` to metric norm `length` (jReality `Pn.setToLength`).
/// Returns `p` unchanged when its norm is numerically zero.
inline Eigen::VectorXd pn_set_to_length(const Eigen::VectorXd& p,
double length, int metric)
{
const double nrm = pn_norm(p, metric);
if (nrm < 1e-300) return p;
return p * (length / nrm);
}
/// Normalise to unit metric norm (jReality `Pn.normalize`).
inline Eigen::VectorXd pn_normalize(const Eigen::VectorXd& p, int metric)
{
return pn_set_to_length(p, 1.0, metric);
}
// ── Distance ──────────────────────────────────────────────────────────────────
/// Geodesic distance between two points (jReality `Pn.distanceBetween`).
/// EUCLIDEAN: ‖p̂_spatial q̂_spatial‖ (dehomogenised)
/// ELLIPTIC: acos(⟨p̂,q̂⟩) (spherical angle, clamped to [1,1])
/// HYPERBOLIC: acosh(⟨p̂,q̂⟩) (clamped ≥ 1)
inline double pn_distance_between(const Eigen::VectorXd& p,
const Eigen::VectorXd& q,
int metric)
{
if (metric == PN_EUCLIDEAN) {
const auto pd = pn_dehomogenize(p);
const auto qd = pn_dehomogenize(q);
const int n = static_cast<int>(pd.size());
return (pd.head(n - 1) - qd.head(n - 1)).norm();
}
const double np = pn_norm(p, metric);
const double nq = pn_norm(q, metric);
double c = pn_inner_product(p, q, metric) / (np * nq);
if (metric == PN_HYPERBOLIC)
return std::acosh(std::max(1.0, c));
// ELLIPTIC
c = std::clamp(c, -1.0, 1.0);
return std::acos(c);
}
// ── Geodesic interpolation ────────────────────────────────────────────────────
/// Constant-speed geodesic interpolation at parameter t ∈ [0,1]
/// (jReality `Pn.linearInterpolation`).
/// EUCLIDEAN: affine blend of the dehomogenised points.
/// ELLIPTIC: spherical slerp:
/// r(t) = (sin((1t)d)·p̂ + sin(td)·q̂) / sin(d)
/// HYPERBOLIC: hyperbolic slerp:
/// r(t) = (sinh((1t)d)·p̂ + sinh(td)·q̂) / sinh(d)
/// where d = pn_distance_between(p,q,metric) and p̂,q̂ are unit vectors.
inline Eigen::VectorXd pn_linear_interpolation(const Eigen::VectorXd& p,
const Eigen::VectorXd& q,
double t, int metric)
{
if (metric == PN_EUCLIDEAN) {
const auto pd = pn_dehomogenize(p);
const auto qd = pn_dehomogenize(q);
return (1.0 - t) * pd + t * qd;
}
const auto ph = pn_normalize(p, metric);
const auto qh = pn_normalize(q, metric);
const double d = pn_distance_between(ph, qh, metric);
if (d < 1e-12) return ph; // coincident — return either endpoint
if (metric == PN_ELLIPTIC) {
const double s = std::sin(d);
return (std::sin((1.0 - t) * d) * ph + std::sin(t * d) * qh) / s;
}
// HYPERBOLIC
const double s = std::sinh(d);
return (std::sinh((1.0 - t) * d) * ph + std::sinh(t * d) * qh) / s;
}
} // namespace conformallab