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v129_entropy_power_law.py
verification/v129_entropy_power_law.py
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"""v129 -- The clock is an entropy power law: the transfer eigenvalues are
the Nariai entropy fractions to the hexagon power, and the ring coupling
is the fractional entropy deficit. [I] exact identities on established
levels; R1 acquires its thermodynamic statement.
The v124-v128 chain gave rate(n) = -p_2 ln(1 - n/N_fam). This module
identifies what (1 - n/N_fam) IS physically:
[I] 1. THE THREE ENTROPY LEVELS. The established Nariai bookkeeping
(v101) has exactly three entropy configurations:
S/S_dS in {1, 2/3, 1/3}
(pure dS; the two-horizon Nariai total 2/3; a single horizon
1/3 -- deficit S_dS/3 per step). These are EXACTLY the
complementary cusp weights 1 - n/N_fam.
[I] 2. THE CLOCK IS AN ENTROPY POWER LAW.
lambda_n = (S_n / S_dS)^{p_2},
rate(n) = p_2 ln(S_dS / S_n)
-- the transfer eigenvalues are the entropy fractions to the
hexagon power; the rates are hexagon-weighted log-entropy
deficits. Audit reading: a power law (S/S_dS)^{p_2} with
integer exponent p_2 = 6 = 2h is the two-point form of an
operator of weight h = 3 = N_fam (recorded, not claimed).
[I] 3. THE COUPLING IS THE ENTROPY DEFICIT. The ring coupling of
v127 satisfies the TRIPLE identity
alpha = n/N_fam = (MS parabolic weight, v115/v126)
= 1 - S_n/S_dS = Delta S_n / S_dS (deficit fraction)
-- the insertion strength of the RPA towers is the fractional
entropy deficit of the SdS configuration: the coupling is not
a free parameter in ANY of its three readings.
[I] 4. ORIENTATION CONSISTENCY. Weight 0 <-> pure dS (maximal
entropy, rate 0: the stationary attractor); weight 2 <-> the
single horizon (lowest level, fastest decay 6 ln 3) --
monotone: deeper entropy deficit = faster relaxation, exactly
the established repeller -> attractor orientation (v82/v101/
v102).
[P] 5. R1, THERMODYNAMIC FORM (recorded, not claimed): derive
Gamma_n proportional to (S_n / S_dS)^{p_2}
from the near-Nariai one-loop -- a Gibbons-Hawking-type
entropy power law with exponent = the hexagon size. Same
computation as before, now stated in entropy language; the
exponent p_2 (equivalently the weight h = N_fam) is the
remaining quantum content.
"""
import sympy as sp
from tfpt_constants import check, summary, reset
P2 = 6
N_FAM = 3
def run():
reset()
print("v129 entropy power law (lambda = (S/S_dS)^p2)")
levels = [sp.Rational(N_FAM - n, N_FAM) for n in range(3)]
# 1. the three entropy levels
check("THE THREE ENTROPY LEVELS: the established Nariai bookkeeping "
"(v101) has S/S_dS in {1, 2/3, 1/3} (pure dS; two-horizon "
"total; single horizon -- deficit S_dS/3 per step) -- "
"EXACTLY the complementary cusp weights 1 - n/N_fam",
levels == [1, sp.Rational(2, 3), sp.Rational(1, 3)])
# 2. the clock is an entropy power law
lams = [lv ** P2 for lv in levels]
rates = [P2 * sp.log(1 / lv) for lv in levels]
check("THE CLOCK IS AN ENTROPY POWER LAW: lambda_n = (S_n/S_dS)^p2 "
"= {1, (2/3)^6, (1/3)^6} (the frozen transfer spectrum) and "
"rate(n) = p2 ln(S_dS/S_n) = {0, Delta, 6 ln 3} -- "
"hexagon-weighted log-entropy deficits; audit: exponent "
"p2 = 6 = 2h reads as the two-point form of a weight "
"h = 3 = N_fam operator (recorded)",
lams == [1, sp.Rational(2, 3) ** 6, sp.Rational(1, 3) ** 6]
and sp.simplify(rates[1] - 6 * sp.log(sp.Rational(3, 2))) == 0
and sp.simplify(rates[2] - 6 * sp.log(3)) == 0
and P2 == 2 * N_FAM)
# 3. the coupling is the entropy deficit
check("THE COUPLING IS THE ENTROPY DEFICIT (triple identity): "
"alpha = n/N_fam = MS parabolic weight (v115/v126) = "
"1 - S_n/S_dS = Delta S_n/S_dS -- the RPA insertion strength "
"is the fractional entropy deficit; the coupling is not a "
"free parameter in any of its three readings",
all(sp.Rational(n, N_FAM) == 1 - levels[n] for n in range(3)))
# 4. orientation consistency
check("ORIENTATION CONSISTENCY: weight 0 <-> pure dS (max entropy, "
"rate 0: stationary attractor); weight 2 <-> single horizon "
"(lowest level, fastest decay 6 ln 3); monotone -- deeper "
"deficit = faster relaxation, exactly the established "
"repeller -> attractor orientation (v82/v101/v102)",
rates[0] == 0 and rates[0] < rates[1] < rates[2]
and levels[0] > levels[1] > levels[2])
# 5. R1, thermodynamic form
check("R1, THERMODYNAMIC FORM [P] (recorded, not claimed): derive "
"Gamma_n ~ (S_n/S_dS)^p2 from the near-Nariai one-loop -- a "
"Gibbons-Hawking-type entropy power law with exponent = the "
"hexagon size; the exponent p2 (the weight h = N_fam) is "
"the remaining quantum content", True)
return summary("v129 entropy power law")
if __name__ == "__main__":
raise SystemExit(1 if run() else 0)
Recorded source fingerprint
9f41ea31db064c8a63879bced40e588161f2961a8beb2b8690914130d67b6507
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