MATHLIBANNEX / PROJECT LFH

Absolute volume and ball rigidity

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Scope

The absolute Jacobian integral of the radial map yields target-ball volume. A limiting linear contraction has the exact determinant-volume scaling between the two unit balls. Ball inclusion and strict compact-subset volume comparison give ball equality; the separate ball-equality result then gives norm preservation.

5 direct Cards + 28 reused prerequisites = 33 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: SR168 — A compact proper subset of a seminorm ball has smaller Haar measure · SR170 — Equality of seminorm balls under a linear bijection preserves the seminorms · SR399 — The absolute Jacobian integral of a radial sphere extension · SR356 — A volume-normalized linear contraction obtained by a limit · SR358 — The recovered contraction maps one unit ball onto the other

Reused prerequisites: SR302 — The chosen support slice consists of almost-isometric generators · SR328 — The satellite polynomial is linear in the maximal-minor vector · SR081 — Successive maximum refinement by an ordered list of functionals · SR098 — Compactness of the signed generator set · SR406 — The family of maximal minors in increasing row order · SR392 — The inverse sphere isometry gives the inverse radial map · SR093 — The symmetric convex body of contraction minors · SR425 — Cramer’s rule for coordinates of a row · SR387 — Radial extension of an isometry between unit spheres · SR230 — A common inverse estimate from row Cramer · SR264 — A seminorm with two-sided bounds against a reference norm · SR235 — A weighted determinant polynomial with satellites · SR325 — A strict lower bound on a norm’s unit sphere · SR263 — A finite absolute-maximizing family almost norms the unit sphere · SR086 — A common generator selected from equal convex hulls · SR253 — Absolute maximization forces a near-maximal base · SR272 — Continuous linear maps bounded by a seminorm · SR297 — A determinant difference bound in the sup operator norm · SR439 — Maximal minors scaled by the reference ball volume · SR258 — One fixed satellite family almost norms every detected unit vector · SR394 — The radial extension is 3-Lipschitz · SR216 — The set of near-maximal dual frames · SR190 — An attained absolute determinant maximum · SR207 — Positivity of the determinant maximum · SR077 — A support face is the convex hull of the maximizing generators · SR365 — Almost-contractive linear recovery with exact volume scaling · SR255 — Each satellite norms its coefficient preimage in absolute value · SR257 — A nearby norming point gives an almost-norming evaluation

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.

33 Cards

Level 0 (11 Cards)

Level 0

Equality of seminorm balls under a linear bijection preserves the seminorms

Turns a ball-image equality into one seminorm inequality in each direction.

MathlibAnnex.SeminormBall.map_eq

Immediate Card prerequisites: None in this selected scope

Used by in this scope: None in this selected scope

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 (12 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 1

The satellite polynomial is linear in the maximal-minor vector

Expresses the configuration polynomial as a linear pairing with maximal minors.

MathlibAnnex.PluckerSupport.pluckerPairing_satelliteCoefficients_maximalMinors

Level 1

A common generator selected from equal convex hulls

Uses a first maximizing slice and a separating sequence to obtain an original common point carrying a prescribed property.

MathlibAnnex.exists_common_of_convexHull_eq

Level 2 (5 Cards)

Level 2

The absolute Jacobian integral of a radial sphere extension

Identifies the integral of the absolute Jacobian over an open source unit ball with the volume of the closed target unit ball.

MathlibAnnex.Sphere.radialExtension_integral_abs_det

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 (2 Cards)

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

Level 4

The chosen support slice consists of almost-isometric generators

Obtains one almost-isometric map from each point of the specified raw maximum slice.

MathlibAnnex.FiniteRecovery.targetRawSupportMaximizer_good

Level 5 (1 Card)

Level 5

Almost-contractive linear recovery with exact volume scaling

Recovers one bijective linear factor with a norm estimate and exact volume scaling.

MathlibAnnex.PluckerRecovery.nonempty_linearCertificate_of_pluckerBodies_eq

Level 6 (1 Card)