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IndisputableMonolith.NavierStokes.RunningMaxNormalization

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This module defines the running maximum of a sequence along with normalization and rescaling auxiliaries for Navier-Stokes analysis in Recognition Science. It establishes monotonicity, positivity, and limit properties of the running max and normalized forms. The module functions as a utility library supplying bounded-sequence tools for fluid-dynamics arguments.

claimLet $M̃(n) := max_{k≤n} a(k)$ be the running maximum. The normalized sequence satisfies $â(n) ≤ 1$ with equality at the point of maximum, while the rescaled length $ℓ(n) > 0$ obeys $ℓ(n) → 0$ as $n → ∞$.

background

This module belongs to the NavierStokes domain and supplies sequence-normalization primitives. Its central object is the running maximum, defined pointwise as the maximum value attained by the sequence up to index n. Companion definitions produce a normalized version bounded above by one and a positive rescaling function that vanishes at infinity. The module imports Mathlib to access basic facts about real sequences and maxima.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

This module supplies the running-maximum and normalization primitives that support Navier-Stokes analysis inside the Recognition Science framework. It enables construction of bounded normalized quantities such as vorticity and thereby feeds the broader development of fluid-dynamics results under the Recognition Composition Law.

scope and limits

declarations in this module (20)