IndisputableMonolith.Quantum.Measurement.WavefunctionCollapse
The module defines quantum amplitudes as complex numbers along with states, superposition checks, and measurement probabilities for wavefunction collapse modeling in Recognition Science. Researchers working on quantum measurement within the RS framework would cite it. The module structures these definitions around the imported 8-tick discretization hypothesis and RS time quantum without proofs.
claimAn amplitude is a complex number $A$. The module introduces quantum states, predicates for superposition and definiteness, ledger branches for committed and uncommitted states, and a measurement probability function built on the 8-tick cycle.
background
The module operates in the quantum domain of Recognition Science, which derives all physics from a single functional equation and the T0-T8 forcing chain. It imports the fundamental RS time quantum τ₀ = 1 tick from Constants and the explicit 8-tick hypothesis from EightTick, which states that time and process are discretized into 8-beat cycles as a testable hypothesis about observed traces rather than a definitional axiom.
proof idea
This is a definition module, no proofs.
why it matters in Recognition Science
The module supplies the quantum measurement interface that connects the 8-tick hypothesis to wavefunction concepts, providing definitions that would feed higher-level results on collapse and measurement in the Recognition Science framework. It supports the quantum domain by organizing amplitudes, states, and probabilities around the imported constants and discretization.
scope and limits
- Does not derive the 8-tick hypothesis from the forcing chain.
- Does not simulate or predict specific collapse dynamics.
- Does not link amplitudes to mass formulas or the phi-ladder.
- Does not prove any theorem on measurement outcomes.
depends on (2)
declarations in this module (27)
-
abbrev
Amplitude -
structure
QuantumState -
def
isSuperposition -
def
isDefinite -
structure
LedgerBranch -
structure
UncommittedLedger -
structure
CommittedLedger -
lemma
sum_filter_eq_sum_all -
lemma
list_map_sum_eq_finset_sum -
theorem
filter_map_weight_sum -
def
stateToLedger -
def
measurementProbability -
theorem
born_rule_nonneg -
theorem
born_rule_normalized -
theorem
norm_div_norm_eq_one -
def
commit -
theorem
commit_is_definite -
theorem
probability_equals_weight -
theorem
measurement_irreversible -
theorem
no_cloning_informal -
def
outcomeCost -
theorem
cost_probability_relation -
theorem
measurement_postulate_derived -
def
isEffectivelyClassical -
theorem
decoherence_gives_classicality -
structure
MeasurementFalsifier -
theorem
no_known_measurement_falsifier