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IndisputableMonolith.Gravity.EnergyProcessingBridge

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The EnergyProcessingBridge module defines the J-cost function and energy-to-processing mappings for gravity applications in Recognition Science. It supplies the explicit form of J together with distribution and gradient constructions that connect energy to processing fields. Researchers on acoustic levitation and weak-field superposition import these objects directly. The module consists of definitions and elementary algebraic properties with no complex proofs.

claimThe J-cost is the functional $J(x)=½(x+x^{-1})-1$ for $x>0$, forced by the Recognition Composition Law. Energy distributions are mapped to processing fields, and the equivalence states that any energy distribution creates a processing gradient that modifies gravitational behavior.

background

Recognition Science obtains all physics from a single functional equation whose solution is the J-cost. The module sits in the Gravity domain and imports the coherence-fall machinery to define how energy is re-expressed as a processing field. Key objects introduced are the J-cost itself, the EnergyDistribution structure, the map from energy to processing field, and the resulting gravity modifier. These rest on the Recognition Composition Law and the phi-ladder conventions already fixed in the foundational chain.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the energy-processing bridge required by AcousticPhaseLevitation and WeakFieldSuperposition. It operationalizes the J-cost inside the gravity sector so that downstream results can treat energy distributions as sources of processing gradients without re-deriving the cost functional each time.

scope and limits

used by (2)

From the project-wide theorem graph. These declarations reference this one in their body.

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (11)