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module module moderate

IndisputableMonolith.Cost.Ndim.Projector

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The Cost.Ndim.Projector module supplies definitions to raise a one-form β using the inverse metric kernel hInv. It extends the n-dimensional reciprocal cost Hessian whose formulas depend only on the aggregate dot α t in log-coordinates. Researchers constructing dual vectors or index-raising operations in the cost framework would cite these definitions. The module is purely definitional.

claimThe module defines the raising map sending a one-form β to its raised version via the inverse metric kernel $h^{-1}$, together with auxiliary maps (sharp, AApply, PApply, FApply, GApply) and their linearity properties.

background

This module belongs to the Cost.Ndim hierarchy and imports the Hessian module. The upstream doc-comment states: 'The key point is that in log-coordinates the n-dimensional cost depends only on the single weighted aggregate dot α t, so its Hessian'. The projector layer therefore operates on the inverse kernel hInv derived from that Hessian to raise one-forms. Sibling definitions include sharp, AApply, mu, PApply, FApply, GApply, MetallicApply and the linearity lemmas AApply_smul, AApply_add, AApply_neg, AApply_sub, dot_AApply.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the raising operations required by the Metric.lean file referenced in the upstream Hessian module. It completes the public interface for handling the inverse metric kernel in the n-dimensional reciprocal cost setting. No explicit downstream declarations are listed.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (28)