Home / Docs-Technical WhitePaper / 31-EFT.WP.BH.TensionWall v1.0
Chapter 5 — Wall Construction & Parameterization
I. One-Sentence Aim
Provide an executable parameterization and construction workflow for the Tension Wall Sigma_TW, yielding a unified expression and calibration convention for the profile W(r), thickness Delta_w, center surface r_H, and strength measure Xi_TW(r). Ensure seamless coupling with Phi_T, n_eff, and both arrival-time gauges.
II. Scope & Non-Goals
- Covered: the geometric and physical parameter set TWProfile; model families for the wall profile; non-spherical extensions; smoothing and regularization; switching criteria between thin- and thick-wall regimes; calibration/inversion steps; interface and logging norms.
- Not covered: re-stating Chapter 3 minimal equations or Chapter 4 coordinate construction; implementing Chapter 8 matching or energy audits; device-level hardware solutions.
III. Minimal Terms & Symbols
- Geometry & interface: Sigma_TW, r_H, Delta_w, r, outward normal n_vec, tangent t_hat.
- Profile & strength: W(r) (normalized profile, 0 → 1), Xi_TW(r) = | dW/dr |.
- Potential & index: Phi_T(x,t), grad_Phi_T(x,t), n_eff(x,t,f).
- Gauges & paths: T_arr, gamma(ell), d ell, c_ref.
- Energy triplet: R_TW, T_trans, A_sigma, satisfying R_TW + T_trans + A_sigma = 1.
IV. Design Principles & Constraints (building on P40-*)
- Monotonicity & bounds: W(r) is monotone across the transition zone and flat on both sides; 0 ≤ W ≤ 1.
- Scale separation: default Delta_w << r_H. If violated, switch to thick-wall volume integration and record explicitly.
- Regularity & integrability: W(r) and dW/dr are piecewise continuous; combinations with Phi_T = G(T_fil) remain integrable along the path.
- Lower bounds & feasibility: n_eff ≥ 1; under both gauges, T_arr respects lower bounds.
- Auditability: all parameterizations and transforms must be written into the contract and logs, including units and coordinate mappings.
V. Parametric Model Families (S40-25 … S40-29)
- S40-25 Normalized hyperbolic transition
- W(r) = 0.5 * ( 1 + tanh( ( r − r_H ) / sigma_w ) )
- sigma_w ≈ Delta_w / 2, Xi_TW(r) = | dW/dr | = 0.5 * sech^2( ( r − r_H ) / sigma_w ) / sigma_w
- S40-26 Logistic transition
- W(r) = 1 / ( 1 + exp( − ( r − r_H ) / sigma_w ) )
- Equivalent smoothness to S40-25; convenient when fitting asymmetric tails in Delta_w.
- S40-27 Piecewise monotone splines (C^1 or C^2)
- With nodes { r_i } and values { W_i }, enforce 0 = W_0 < … < W_N = 1 and nonnegative first differences.
- Use monotone splines or piecewise cubic Hermite to avoid ringing; Xi_TW follows from spline derivatives.
- S40-28 Exponential tail correction
When observations indicate a slow outer approach, augment W(r) ← W(r) + alpha * exp( − ( r − r_H ) / lambda ), then clip to [0,1]. - S40-29 Non-spherical expansion
- r_H(theta, phi) = r0 * [ 1 + ∑_{l=2}^{L} ∑_{m=−l}^{l} a_{lm} · Y_{lm}(theta, phi) ]
- Apply the same approach to Delta_w(theta, phi); control |a_{lm}| to prevent multiple crossings and self-intersections.
VI. TWProfile Object & Fields
- Core fields: r_H or r_H(theta,phi), Delta_w or Delta_w(theta,phi), model ∈ {tanh, logistic, spline, exp_tail}, sigma_w, spline nodes/coefficients, alpha, lambda (if tail term used).
- Derived fields: routine handle for Xi_TW(r); grid proxy or implicit function F(x)=0 for Sigma_TW; geometric hash hash(Sigma_TW).
- Constraint fields: eta_w (thin-wall threshold), bounds (legal parameter ranges), audit_meta (generation method and seed).
VII. Smoothing & Regularization (S40-30 … S40-32)
- S40-30 Convolutional smoothing
- W_epsilon(r) = ∫ K_epsilon( r − s ) · W(s) ds, with ∫ K_epsilon = 1.
- Typical kernel: Gaussian; use epsilon ≤ Delta_w / 3 to avoid over-smoothing.
- S40-31 Tikhonov / TV regularization
- J[W] = ∫ ( (dW/dr)^2 + lambda · W^2 ) dr or J[W] = ∫ | dW/dr | dr.
- Set lambda via cross-validation or independent benchmarks.
- S40-32 Physical clamping
Enforce W ∈ [0,1], Xi_TW ≥ 0 during construction/evaluation; log trigger rates.
VIII. Non-Sphericity & Geometric Consistency
- Single-crossing guarantee: along any radial ray, W(r) transitions once to avoid segmentation ambiguity.
- Normal continuity: compute n_vec via the normalized cross-product of surface tangents from S(theta,phi); C^1 continuity stabilizes the interface normal.
- Step size & error: reduce path step size in regions with large |dW/dr| to keep segmentation endpoint errors within tolerance.
IX. Calibration & Inversion Flows (M40-7 … M40-12)
- M40-7 Priors
Choose a model family and initial values { r0, Delta_w, sigma_w, alpha, lambda, a_{lm} }, plus physical bounds and soft constraints. - M40-8 Benchmark path & band design
Use multiple frequencies on the same path to isolate the path term; use multi-path, multi-angle data to identify non-spherical coefficients. - M40-9 Objective
min_theta ∑ ( ( T_arr_obs − T_arr_mod(theta) ) / u_c )^2 + R(theta ), where theta includes TWProfile parameters. - M40-10 Iteration & linearization
Use first-order sensitivities ∂T_arr/∂theta (see Chapter 3) with LM or BFGS; validate the linear regime via MC when necessary. - M40-11 Consistency checks
Compare thin- vs thick-wall pipelines; assess two-gauge consistency eta_T; ensure R_TW + T_trans + A_sigma = 1. - M40-12 Archival
Persist TWProfile, contract, logs, hashes, and falsification samples; record key values eta_w, epsilon, lambda.
X. Thin-/Thick-Wall Switching & Validation (S40-33 … S40-35)
- S40-33 Switch criteria
- If Delta_w / r_H ≤ eta_w, use thin-wall: represent wall contribution via Delta_T_sigma.
- Otherwise, thick-wall: integrate directly within the wall ∫_{layer} ( n_eff / c_ref ) d ell.
- S40-34 Consistency test
Near the threshold eta_w, require | T_arr^{thick} − (T_arr^{thin} + Delta_T_sigma) | ≤ tau_switch. - S40-35 Sensitivity alert
If ∂T_arr/∂Delta_w or ∂T_arr/∂r_H dominates, flag geometry–physics coupling degeneracy and expand the set of paths and frequencies.
XI. Implementation Bindings & Interfaces (I40- interop)*
- build_tension_wall_profile( M_bh, a_bh, params ) -> TWProfile
params includes model, r0, Delta_w, sigma_w, a_{lm}, alpha, lambda, eta_w. - apply_TW_matching( Phi_T, TWProfile ) -> Phi_T_matched
Generate side limits of Phi_T using W(r) and the selected interface type. - estimate_neff_TW( Phi_T, grad_Phi_T, rho, f, TWProfile ) -> n_eff
Incorporate H_TW( W, Xi_TW, f ), maintaining n_eff ≥ 1. - detect_TW_intersections( gamma, TWProfile ) -> { ell_i }
Provide precision and convergence logs. - simulate_multipath_TW( n_eff, gamma, TWProfile, mode ) -> { T_arr_i, weights }
Generate echo orders and weights, consistent with R_TW, T_trans, A_sigma. - All interfaces must perform dimensional and unit checks at ingress and emit hash(TWProfile) and key thresholds.
XII. Risks & Systematic-Error Safeguards
- Parameter degeneracy: { r_H, Delta_w } may correlate with { u0, u1 }; break degeneracy via multi-path, multi-band design.
- Non-spherical leakage: high-order a_{lm} are prone to fit noise; cap expansion order and enforce stronger regularization.
- Over-smoothing: too-large epsilon depresses Xi_TW, underestimating Delta_T_sigma.
- Crossing jitter: segmentation endpoint errors bias T_arr; tighten crossing solvers and fix interpolation order.
- Clamping & saturation: log trigger rates for W ∈ [0,1] and n_eff ∈ [1, n_max]; exceedances must trigger review.
XIII. Cross-References
- EFT.WP.BH.TensionWall v1.0 Chapter 3 (Minimal Equations & Structural Model), Chapter 4 (Geometry & Coordinates), Chapter 6 (Near-Wall Propagation Gauges), Chapter 8 (Interface Matching)
- EFT.WP.Propagation.TensionPotential v1.0 Chapters 4–6 (Phi_T, n_eff, paths & two gauges)
- EFT.WP.Core.Metrology v1.0 M05-, M10- (calibration & traceability)
- EFT.WP.Core.Equations v1.1 S06-* (notation & operators)
XIV. Deliverables
- TWProfile specification and example roster including model, r_H, Delta_w, sigma_w, a_{lm}, alpha, lambda, eta_w.
- Smoothing/regularization configuration records: epsilon, lambda, and sensitivity curves.
- Switching & consistency report template: thin–thick differences, two-gauge consistency eta_T, and energy-consistency audit fields.
Copyright & License (CC BY 4.0)
Copyright: Unless otherwise noted, the copyright of “Energy Filament Theory” (text, charts, illustrations, symbols, and formulas) belongs to the author “Guanglin Tu”.
License: This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You may copy, redistribute, excerpt, adapt, and share for commercial or non‑commercial purposes with proper attribution.
Suggested attribution: Author: “Guanglin Tu”; Work: “Energy Filament Theory”; Source: energyfilament.org; License: CC BY 4.0.
First published: 2025-11-11|Current version:v5.1
License link:https://creativecommons.org/licenses/by/4.0/