IndisputableMonolith.Quantum.ZenoEffect
The Quantum.ZenoEffect module defines transition and survival probabilities for two-state systems under Recognition Science time quanta. It establishes the Zeno effect via P(t) = sin²(Ωt/2) and related scaling lemmas. Quantum measurement researchers cite it to link RS constants to suppression of transitions. The module is a collection of definitions and short lemmas with no complex proofs.
claimTransition probability $P(t) = \sin^2(\Omega t / 2)$ for Rabi frequency $\Omega$, with survival probability $1 - P(t)$ and short-time Zeno scaling derived from the RS time quantum $\tau_0$.
background
The module sits in the quantum domain and imports the RS time quantum $\tau_0 = 1$ tick from Constants. It introduces transitionProbability for two-state systems as the sin-squared Rabi formula and defines survivalProbability together with zenoSurvival. The setting uses the fundamental time quantum to constrain Rabi dynamics without additional hypotheses.
proof idea
This is a definition module, no proofs.
why it matters in Recognition Science
The module supplies the Zeno-effect formalization that supports quantum measurement derivations in the Recognition framework. It connects the time quantum to transition suppression and feeds the overall forcing chain from T5 J-uniqueness onward.
scope and limits
- Does not address multi-state or continuous spectra.
- Does not incorporate gravity or the RS mass ladder.
- Does not prove the full anti-Zeno crossover dynamics.
depends on (1)
declarations in this module (19)
-
def
transitionProbability -
theorem
transition_at_zero -
theorem
transition_bounded -
def
survivalProbability -
def
zenoSurvival -
theorem
quantum_zeno_effect -
theorem
short_time_expansion -
theorem
zeno_scaling -
theorem
anti_zeno_effect -
def
zenoAntiZenoCrossover -
theorem
zeno_from_ledger_actualization -
theorem
quadratic_from_symmetry -
def
experimentalHistory -
def
typicalFidelity -
def
applications -
structure
ZenoProtection -
def
philosophicalNote -
structure
ZenoFalsifier -
def
experimentalStatus