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Chapter 3 — Control Equations & Core Assumptions
I. Control Equations (Sxx-?)
- S20-1 | Arrival time (explicit path & measure)
T_arr = ( ∫ ( n_eff / c_ref ) d ell ) = ( 1 / c_ref ) * ( ∫ n_eff d ell )
Requirements: record delta_form in metadata; declare gamma(ell) and d ell explicitly; n_eff is dimensionless, c_ref in m/s. - S21-2 | Phase accumulation (scalar coherence window)
Phi = ( 2π / λ_ref ) * ( ∫ n_eff d ell )
Constraint: λ_ref matches the observation band; state the coherence window on the results page. - S30-1 | Transport & continuity (conservative form)
∂_t ρ + ∇·( ρ v ) = 0
Constraint: ρ denotes density or occupancy; if using n, state units and distinguish from n_eff. - S31-1 | Paraxial propagation with index gradient (geometric-optics limit)
∂_z A + (1/2k_ref) ∇_⊥^2 A + i k_ref ( n_eff - 1 ) A = 0
Conditions: paraxial, small-angle, slowly varying medium; k_ref = 2π/λ_ref. - S40-1 | Observation noise model (wideband, additive, weakly correlated)
y = H[x] + η, with η ~ 𝒩(0, Σ) or a specified robust distribution; H[·] is the system operator and must be bound to an implementation Ixx-*. - S50-1 | Metrology mapping & dimensional closure
u_meas = G( u_true ; θ ) with dim( u_meas ) = dim( u_true ); calibration of θ aligns with Mx-*.
Items 1–6 constitute the minimal control-equation set; domain-specific Sxx-* may be added, provided they remain consistent with this chapter’s assumptions and metrology closure.
II. Core Assumptions (Pxx-?)
- P10-1 | Measurable paths & slowly varying medium — gamma(ell) is piecewise smooth; n_eff varies slowly within the coherence window; measure d ell is consistent with the path.
- P10-2 | Local Lorentz invariance (zero-order) — within the local experimental/observational domain, use c_ref as the propagation limit and timing yardstick.
- P11-1 | Zero-order independence + first-order weak coupling — principal quantities are modeled independently at zero order; first-order background drift is allowed without breaking dimensional closure or conservation.
- P12-3 | Linear additivity (within window) — within the calibrated coherence window and dynamic range, the system operator H[·] is linear or piecewise linear.
- P13-2 | Statistical regularity — the second moment of noise η exists; when using robust losses, provide an equivalent second-order surrogate for error propagation.
- P14-1 | Metrological consistency — all expressions pass check_dim; units, dimensions, and symbols follow the unified conventions (inline backticks; parentheses for any division/integral/composite operator).
III. Asymptotics & Approximations
- Slow-variation (WKB/eikonal): if |∇ n_eff| · L_coh ≪ 1, use the geometric-optics limit in S31-1; outside the threshold, revert to full-wave or numerical methods.
- Paraxial/small-angle expansion: |θ| ≪ 1, |∇_⊥ A| ≪ |∂_z A|; provide an error bound O(θ^2).
- Thin-screen approximation: if medium perturbations are localized, use a phase screen exp( i k_ref ΔOPL ); free-space between screens uses the Fresnel kernel.
- First-order coupling expansion: for slowly drifting background b(·), treat as O(ε): n_eff = n_0 + ε n_1, and state the working range of ε.
- Discretization & numerical stability: approximate integrals by segmented sums ∑ w_i f_i; state Δell and window function; compare with analytic forms and give convergence criteria.
- Log-domain computation: for multiplicative/convolutional forms, provide log-sum-exp equivalents to avoid under/overflow while preserving dimensions and baselines.
IV. Stability, Well-Posedness & Conservation
- Well-posedness: S20-1 and S21-2 are well-posed under n_eff ∈ L^∞ and finite path length; S30-1 conserves mass with bounded flow v and appropriate boundary conditions.
- L² stability (propagation): if ‖n_eff - 1‖_∞ ≤ ε with sufficiently small ε and bounded ∇_⊥, solutions of S31-1 exhibit non-increasing or controlled growth in energy norms w.r.t. initial perturbations.
- Sensitivity bound: first-order sensitivity of arrival time to medium perturbations
δT_arr = ( 1 / c_ref ) * ( ∫ δ n_eff d ell ), usable as a lower-bound estimate for noise propagation and power analysis. - Error propagation: for y = H[x] + η, if H is linear, Cov[x̂] = (Hᵀ Σ⁻¹ H)⁻¹; for nonlinear H, use first-order linearization or bootstrap and report confidence intervals.
- Invariants & conserved quantities: with source-free, lossless, stationary boundaries, S30-1 preserves total quantity; paraxial propagation conserves cross-sectional flux up to O(θ^2).
- Metrology closed loop: provide a check_dim report and unit table with results; exports include references[] and version to support reproducibility.
Appendix: Control-Equation Registry (drop-in)
version: "1.0.0"
equations:
- code: S20-1
name: arrival_time
form: "T_arr = ( ∫ ( n_eff / c_ref ) d ell )"
requires:
path: "gamma(ell)"
measure: "d ell"
units:
T_arr: "s"
c_ref: "m/s"
see:
- "EFT.WP.Core.Equations v1.1:S20-1"
- "EFT.WP.Core.Metrology v1.0:check_dim"
- "EFT.WP.Core.DataSpec v1.0:TARR"
- code: S21-2
name: phase_accumulation
form: "Phi = ( 2π / λ_ref ) * ( ∫ n_eff d ell )"
units:
Phi: "rad"
lambda_ref: "m"
- code: S30-1
name: continuity
form: "∂_t ρ + ∇·( ρ v ) = 0"
units:
rho: "<per context>"
v: "m/s"
- code: S31-1
name: paraxial_propagation
form: "∂_z A + (1/2k_ref) ∇_⊥^2 A + i k_ref ( n_eff - 1 ) A = 0"
units:
k_ref: "1/m"
A: "<field>"
- code: S40-1
name: noise_model
form: "y = H[x] + η"
noise: "Gaussian_or_Robust"
outputs: ["Σ", "residuals"]
- code: S50-1
name: metrology_mapping
form: "u_meas = G( u_true ; θ )"
constraint: "dim(u_meas)=dim(u_true)"
interfaces:
bind_to:
- "Methods.SimStack v1.0"
- "Methods.Repro v1.0"
exports:
must_include: ["references", "version", "check_dim_report"]
Implementation Bindings (directive)
- Bind I20-compute_arrival_time(path, n_eff, c_ref) -> T_arr (record delta_form).
- Bind I31-propagate_paraxial(A0, n_eff, k_ref, grid) -> A (support thin-screen/free-space composition).
- Bind I40-fit_noise(y, H, model) -> {Σ, residuals} (robust/Gaussian options).
- Bind I50-calibrate(u_true, θ) -> u_meas and connect with Mx-* metrology workflows.
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/