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IndisputableMonolith.Mathematics.HodgeAlgebraicCycles

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The module Mathematics.HodgeAlgebraicCycles introduces sub-ledgers as finite voxel sets equipped with cost functions to support algebraic cycle analysis in Recognition Science. It supplies supporting objects including totalDefect and IsJCostMinimal for defect bounds and stability. Researchers addressing the RS formulation of the Hodge conjecture would cite these definitions as the starting point for cycle generation and coarse-graining. The module consists entirely of declarations and basic properties with no external lemmas required.

claimA sub-ledger is a finite set $S$ of voxels equipped with a cost function $c: S → ℝ$ such that defect measures and J-cost minimality can be defined on $S$.

background

Recognition Science builds all structures from the J-cost function obeying the Recognition Composition Law J(xy) + J(x/y) = 2J(x)J(y) + 2J(x) + 2J(y). This module defines SubLedger as the basic carrier object for finite voxel collections and introduces totalDefect as the aggregate defect measure together with IsDefectBounded and IsJCostMinimal as stability predicates. The local setting assumes the phi-ladder and eight-tick octave from the upstream forcing chain while remaining inside standard Mathlib type theory.

proof idea

this is a definition module, no proofs

why it matters in Recognition Science

The module supplies the primitives that feed into rs_hodge_conjecture, algebraic_generates_hodge, and hodge_from_algebraic. It establishes the sub-ledger as the concrete object linking voxel recognition costs to Hodge cycles, closing the first layer of scaffolding for the algebraic-to-Hodge direction in the Recognition framework.

scope and limits

declarations in this module (14)