Pith. sign in
module module moderate

IndisputableMonolith.Cost.Ndim.RadicalDistribution

show as:
view Lean formalization →

The RadicalDistribution module defines the radical and associated level sets of the rank-one Hessian metric for the n-dimensional reciprocal cost. Researchers analyzing metric degeneracy in log-coordinates within the Recognition Science cost framework would cite these definitions. The module supplies the core objects Radical and LevelSet together with their basic algebraic properties.

claimLet $H$ denote the rank-one Hessian of the cost depending only on the aggregate $oldsymbol{eta}oldsymbol{ au}$. The radical distribution is the subspace $\{v\mid H(v,w)=0\ \forall w\}$ equipped with its level sets and affine shifts.

background

The module imports IndisputableMonolith.Cost.Ndim.Hessian, whose doc-comment states that in log-coordinates the n-dimensional cost depends only on the single weighted aggregate dot α t, so its Hessian is rank-one. This supplies the setting for the radical (kernel) of that quadratic form. Sibling definitions introduce Radical as the radical subspace, LevelSet as the associated level sets, affineShift, and closure properties such as zero_mem_Radical, add_mem_Radical and smul_mem_Radical.

proof idea

this is a definition module, no proofs

why it matters in Recognition Science

The module supplies the radical distribution of the rank-one Hessian metric, providing the algebraic substrate for cost and metric constructions that depend on the Hessian module. It fills the structural gap between the rank-one reduction and higher-level distribution properties in the Ndim cost layer.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (14)