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IndisputableMonolith.Cost.Ndim.RadicalDistribution

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The RadicalDistribution module defines the radical and associated level sets of the rank-one Hessian metric for the n-dimensional reciprocal cost. Researchers analyzing the geometry of cost functions in log-coordinates cite these objects when working with the weighted aggregate dot product. The module supplies definitions together with basic algebraic closure properties of the sets.

claimLet $H$ denote the rank-one Hessian of the cost depending only on the aggregate $\dot{\alpha} t$. The radical distribution consists of the set $\mathrm{Radical} = \{v \mid H(v) = 0\}$ and the level sets $\mathrm{LevelSet}_c = \{v \mid H(v) = c\}$, together with the affine shift map.

background

The imported Hessian module states that in log-coordinates the n-dimensional reciprocal cost depends only on the single weighted aggregate $\mathrm{dot},\alpha, t$, so its Hessian is rank-one. This module therefore introduces the radical distribution of that metric. Sibling definitions supply the concrete sets Radical and LevelSet, the affineShift operator, and the membership and closure lemmas (zero_mem_Radical, add_mem_Radical, smul_mem_Radical, quadraticHessian_eq_zero_iff).

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the radical distribution that completes the public Hessian interface referenced by Metric.lean. It therefore feeds the cost geometry used in the Recognition Science n-dimensional cost model and the rank-one structure that follows from the single aggregate dependence.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (14)