MATHLIBANNEX / PROJECT LFH

Determinant-maximizing frames and finite recovery

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Scope

An attained positive determinant maximum supplies well-conditioned dual frames. Weighted satellite arguments and a finite almost-norming family control the vectors needed for approximate linear recovery; the exact lower-unit condition remains explicit.

11 direct Cards + 1 reused prerequisite = 12 unique Cards. This count is a selected Card closure, not a source-declaration count.

Route reading PDF · Preserved source exploration

Cards in this route

Read this route with prerequisites

Reference index: direct Cards and reused prerequisites

Direct references: SR190 — An attained absolute determinant maximum · SR207 — Positivity of the determinant maximum · SR216 — The set of near-maximal dual frames · SR230 — A common inverse estimate from row Cramer · SR235 — A weighted determinant polynomial with satellites · SR253 — Absolute maximization forces a near-maximal base · SR255 — Each satellite norms its coefficient preimage in absolute value · SR257 — A nearby norming point gives an almost-norming evaluation · SR258 — One fixed satellite family almost norms every detected unit vector · SR263 — A finite absolute-maximizing family almost norms the unit sphere · SR325 — A strict lower bound on a norm’s unit sphere

Reused prerequisites: SR264 — A seminorm with two-sided bounds against a reference norm

Dependency-first reading route

Read selected Card prerequisites before their uses. Levels are recomputed from the selected reachability-preserving projection; omitted source helpers remain traceable in the source exploration.

12 Cards

Level 0 (3 Cards)

Level 0

A seminorm with two-sided bounds against a reference norm

Records a norm through a seminorm, two positive comparison constants and continuity on the original normed space.

MathlibAnnex.EquivalentSeminorm

Level 1 (5 Cards)

Level 1

Absolute maximization forces a near-maximal base

A dominant determinant term prevents a large deficit in the base frame.

MathlibAnnex.Satellite.absoluteMaximizer_base_nearMax

Level 2 (2 Cards)

Level 2

Each satellite norms its coefficient preimage in absolute value

Varying one functional at an absolute maximizer forces endpoint attainment.

MathlibAnnex.Satellite.absoluteMaximizer_satellite_norms_preimage

Level 3 (1 Card)

Level 3

One fixed satellite family almost norms every detected unit vector

Uses a detecting coefficient and its matching satellite without replacing the family.

MathlibAnnex.Satellite.absoluteMaximizer_satellites_almost_norm

Level 4 (1 Card)

Level 4

A finite absolute-maximizing family almost norms the unit sphere

Chooses the inverse bound, net and weight before fixing one satellite family.

MathlibAnnex.Satellite.exists_goodSatellitePackage