IndisputableMonolith.Physics.GravitationalWaveSourcesFromConfigDim
This module defines classes and certificates for gravitational wave sources parameterized by configuration dimension in the Recognition Science framework. Researchers modeling RS-derived wave propagation or source populations would cite these structures when building cosmological or astrophysical applications. The module organizes content around source classification, enumeration functions, and certification, importing only the base constants for unit consistency.
claimThe module introduces $GWSourceClass$ as a type classifying gravitational wave sources by configuration dimension, $gwSourceClass_count$ as the associated counting function, and $GWSourcesCert$ as the certification predicate for such sources.
background
The module sits inside the Recognition Science derivation of physics from a single functional equation, using the J-cost and phi-ladder structures established upstream. It imports the Constants module whose sole documented content is the fundamental RS time quantum, stated as τ₀ = 1 tick. Sibling declarations supply the concrete objects: GWSourceClass for source categorization, the count function for population sizing, and GWSourcesCert for formal certification, all tied to configuration dimension.
proof idea
This is a definition module, no proofs.
why it matters in Recognition Science
The module supplies the definitional layer for gravitational wave sources inside the RS physics development, feeding downstream models that apply the forcing chain (T5–T8) and the Recognition Composition Law to wave phenomena. It ensures dimensional consistency with the imported τ₀ and prepares the ground for later theorems on source populations and propagation in three spatial dimensions.
scope and limits
- Does not derive explicit waveforms or strain amplitudes.
- Does not incorporate observational constraints or data fitting.
- Does not address quantum corrections or higher-order interactions.
- Does not extend the classification beyond configuration dimension parameterization.