Experiments / V2.06
V2.06
Slope Theorem COMPLETE

Cross-Family Universality

Experiment V2.06: Cross-Family Universality

Status: COMPLETE

Goal

Show that V2’s unified capacity definition Q_t = F_timing^(1/(n+2)) gives Gamma* = 1 for ALL detector families, eliminating V1’s spurious family dependence.

The V1 Problem

V1 used C_t = (1/2) log2(F_timing) for all channel families. Since different families have different spectral indices n (so F_timing ~ T^(n+2)), the log2 compresses different power laws differently, leading to family-dependent Gamma*:

FamilynV1 alphaV1 Gamma*V1 CV(Gamma*)
amplitude08.950.1120.447
UDW15.850.1710.394
derivative24.070.2460.387
quadratic33.370.2970.405

V1’s Gamma varies by a factor of 2.7 across families.* The CV of the point-by-point Gamma* is ~40% (not constant within a family either).

The V2 Solution

V2 uses Q_t = F_timing^(1/(n+2)) with the spectral index n appropriate for each detector-field coupling:

FamilynV2 alphaV2 Gamma*C_QCV(Q_t/T)Max T error
amplitude01.00001.00001.710~10^-163.4 x 10^-5
UDW11.00001.00001.858~10^-162.1 x 10^-5
derivative21.00001.00002.155~10^-169.5 x 10^-7
quadratic31.00001.00002.490~10^-164.1 x 10^-6

V2’s Gamma = 1.000000 for ALL families.* Zero spread. The CV of Q_t/T is at machine precision (~10^-16).

Why V1 Was Wrong

The core issue: V1 used log2 to define capacity, but the correct definition uses a fractional power.

For a detector with spectral response F(Omega) ~ Omega^n n_BE(Omega/T):

  • F_timing = max[Omega^2 * 4F] ~ T^(n+2)
  • V1: C_t = (1/2) log2(F_timing) ~ ((n+2)/2) log2(T) -> nonlinear in kappa
  • V2: Q_t = F_timing^(1/(n+2)) ~ T -> linear in kappa

The log2 creates a nonlinear relationship between C_t and kappa, and the nonlinearity depends on n. Hence V1’s Gamma* is family-dependent.

Sigma Independence (Phase 3)

The slope alpha = 1 is independent of switching width sigma for all families:

Familysigma = 1sigma = 4sigma = 16
amplitude (n=0)1.00001.00001.0000
UDW (n=1)1.00001.00001.0000
derivative (n=2)1.00001.00001.0000
quadratic (n=3)1.00001.00001.0000

C_Q depends on both sigma and n (analytically known), but the slope is always exactly 1.

Physical Interpretation of the Spectral Index

nCouplingPhysical detector
0phi (amplitude)Scalar field amplitude measurement
1linear phiStandard Unruh-DeWitt point detector
2dphi/dtauDerivative-coupled detector
3phi^2Quadratic (intensity) coupling

The spectral index n is determined by the detector-field coupling operator. Different couplings probe different aspects of the Wightman function, but the KMS property ensures that all give the same temperature when the correct capacity observable is used.

Universal Constants

For each family, the capacity observable Q_t = C_Q(n, sigma) * T where:

C_Q(n, sigma) = (4 A c_{n+2})^(1/(n+2))

with:

  • A = sqrt(pi) sigma / (2 pi) (switching normalization)
  • c_m = x_m^m / (e^{x_m} - 1) (from optimizing x^m/(e^x-1))
  • x*_m satisfies m(1 - e^{-x}) = x
m = n+2x*_mc_m
2 (n=0)1.5940.648
3 (n=1)2.8211.421
4 (n=2)3.9212.411
5 (n=3)4.9653.543

What This Proves

  1. The slope law is universal across detector families. The choice of detector (UDW, derivative-coupled, etc.) does not affect the extracted temperature, provided one uses Q_t = F_timing^(1/(n+2)).

  2. V1’s Gamma family dependence was an artifact.* It arose from using log2 instead of the correct fractional power.

  3. The spectral index n is observable. One can determine n from the response function F(Omega) (its power-law behavior at low Omega), then use the correct power 1/(n+2) to extract temperature.

  4. C_Q encodes detector properties, not geometry. The proportionality constant C_Q depends on (n, sigma) but NOT on kappa or the spacetime. Combined with V2.05, this means the slope law extracts geometric information (temperature) cleanly separated from detector information (C_Q).

Files

FilePurposeTests
src/cross_family.pyMulti-family analysis, V1 vs V2 comparison
tests/test_cross_family.pyValidation tests13/13
run_experiment.pyFull 3-phase experiment

Next Steps -> V2.07

V2.07 begins Phase 2 (Metric Recovery): showing that null geodesics are the curves that maximize timing capacity transfer.