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module module moderate

IndisputableMonolith.Cost.Ndim.Projector

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The Projector module supplies definitions for raising a one-form β via the inverse metric kernel hInv within n-dimensional reciprocal cost models. Researchers extending the Hessian formulas to higher dimensions in the Recognition Science cost framework would cite it. The module consists of multiple definitions and algebraic lemmas for operators such as sharp and the various Apply functions, with no central theorem.

claimThe module defines the raising map $\beta^\sharp := h_{\rm Inv} \cdot \beta$ together with associated linear operators (sharp, $\mu$, AApply, PApply, FApply, GApply) and their algebraic properties (smul, add, neg, sub, dot).

background

This module sits inside the Cost.Ndim namespace of the Recognition Science framework and imports the Hessian module. The upstream Hessian documentation states that in log-coordinates the n-dimensional cost depends only on the single weighted aggregate dot α t, so its Hessian admits a closed-form expression. The Projector module therefore supplies the index-raising machinery (one-form to vector) needed to manipulate those Hessian expressions.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the raising operation required by the n-dimensional Hessian formulas referenced in Metric.lean. It therefore supports the extension of the one-dimensional cost structure to the full n-dimensional case inside the Recognition Science cost domain.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (28)