IndisputableMonolith.Physics.ThermalFixedPoint
This module derives the thermal fixed point from the characteristic polynomial of the Fibonacci recurrence a(n+2) = a(n+1) + a(n). It establishes that the positive root equals phi and equals the leading thermal eigenvalue. Physicists modeling discrete thermal systems or critical exponents in Recognition Science would cite these results. The module structure consists of algebraic definitions for the polynomial followed by root uniqueness and eigenvalue equality theorems.
claimThe characteristic polynomial of the recurrence $a_{n+2} = a_{n+1} + a_n$ is $x^2 - x - 1 = 0$, whose unique positive root is the golden ratio $phi = (1 + sqrt(5))/2$. The module further shows that the leading thermal eigenvalue equals this root and is the unique positive solution satisfying the self-similar fixed-point condition.
background
The module operates in the Physics domain of Recognition Science and imports the time quantum tau_0 = 1 tick from Constants, the proof that phi arises from self-similarity in a discrete ledger with J-cost from PhiForcing, and the spectral properties of the 3-dimensional hypercube Q_3 from CubeSpectrum. It introduces the Fibonacci characteristic polynomial whose positive root governs asymptotic growth rates on the phi-ladder. The local setting connects discrete recurrence relations to thermal eigenvalues that appear in critical exponent corrections.
proof idea
The module begins with the definition of the characteristic polynomial for the linear recurrence. It applies algebraic reduction to identify the positive root as phi. Subsequent results prove uniqueness of this positive root and its equality to the thermal eigenvalue via direct substitution into the fixed-point equation together with positivity arguments. The overall argument is a sequence of supporting lemmas rather than a single monolithic proof.
why it matters in Recognition Science
This module supplies the growth-rate foundation for thermal fixed points and feeds into derivations of mass formulas and critical exponents on the phi-ladder. It realizes the T6 step of the forcing chain in which phi is forced as the self-similar fixed point. The results also support the eight-tick octave structure and D = 3 spatial dimensions by providing the leading eigenvalue for thermal modes in the Recognition framework.
scope and limits
- Does not treat recurrences of order higher than two.
- Does not incorporate Berry creation thresholds or Z_cf corrections.
- Does not compute full thermal spectra beyond the leading eigenvalue.
- Does not address continuous limits or renormalization group flows.
depends on (3)
declarations in this module (23)
-
def
fibonacci_char_poly -
theorem
fibonacci_char_poly_root -
theorem
fibonacci_char_poly_unique_pos_root -
theorem
fibonacci_recurrence -
theorem
phi_ladder_growth -
def
thermal_eigenvalue -
theorem
thermal_eigenvalue_eq_phi -
theorem
thermal_eigenvalue_uniqueness -
theorem
thermal_eigenvalue_golden -
theorem
thermal_eigenvalue_pos -
theorem
thermal_eigenvalue_relevant -
def
nu_leading -
theorem
nu_leading_eq -
theorem
nu_leading_pos -
theorem
nu_leading_lt_one -
def
anomalous_nu_correction -
theorem
anomalous_nu_correction_zero -
theorem
anomalous_nu_correction_small -
def
nu_corrected -
theorem
nu_corrected_at_zero -
theorem
spectral_gap_multiplicity_eq_degree -
structure
ThermalFixedPointCert -
def
thermalFixedPointCert