OAI/Analysis/AffineBernstein/ActualBaseMinors.lean
7 declarations, 0 contain sorry, 0 declared as axioms
- lemma
OAI.AffineBernstein.norm_gradient_le_of_convex_boundedline 18Source comment
A bounded convex function on a full larger ball has bounded actual Euclidean gradient at its center. No derivative estimate is assumed.lemma norm_gradient_le_of_convex_bounded {Ω : Set E} {f : E → ℝ} (hc : ConvexOn ℝ Ω f) {x : E} (hx : x ∈ Ω) (hd : DifferentiableAt ℝ f x) {r M : ℝ} (hr : 0 < r) (hM : 0 ≤ M) (hball : Metric.closedBall x r ⊆ Ω) (hb : ∀ y ∈ Ω, |f y| ≤ M) : ‖gradient f x‖ ≤ 2*M/r := by … - lemma
OAI.AffineBernstein.hessian_negline 50 - lemma
OAI.AffineBernstein.tubeBaseMatrix_basisFunline 56 - theorem
OAI.AffineBernstein.affineEpigraph_base_minors_boundline 71Source comment
The uniform large-principal-minor bound for the actual negative support of an affine epigraph. The larger base domain supplies the gradient bound; hence no derivative or determinant bound is added as a hypothesis.theorem affineEpigraph_base_minors_bound {n k : ℕ} {Ω : Set (Space n)} (hΩ : IsOpen Ω) (hcv : Convex ℝ Ω) {u : Space n → ℝ} (hu : ContDiffOn ℝ ∞ u Ω) (hp : ∀ x ∈ Ω, (hessian u x).PosDef) (a : Space n × ℝ) (L : (Space k × E) ≃L[ℝ] (Space n × ℝ)) {D : Set (Space k)} (hD : IsOpen D) (hcD : Convex ℝ D) (hK : ∀ s ∈ D, IsCompact {y | (s,y) ∈ affineEpigraphPullback Ω u a L}) (hzero : ∀ s ∈ D, (0:E) ∈ interior {y | (s,y) ∈ affineEpigraphPullback Ω u a L}) {e : E} (he : e ≠ 0) {Q : Set (Space k)} (hQ : MeasurableSet Q) (hQD : Q ⊆ D) {r M R : ℝ} (hr : 0 < r) (hM : 0 ≤ M) (hball : ∀ s ∈ Q, Metric.closedBall s r ⊆ D) (hbound : ∀ s ∈ D, |homogeneousSupport {y | (s,y) ∈ affineEpigraphPullback Ω u a L} e| ≤ M) …Mentions: OAI.AffineBernstein.Space, OAI.AffineBernstein.hessian, OAI.AffineBernstein.affineEpigraphPullback, OAI.AffineBernstein.homogeneousSupport
- lemma
OAI.AffineBernstein.homogeneousSupport_abs_le_of_radiusline 122 - lemma
OAI.AffineBernstein.homogeneousSupport_ge_of_ballline 131 - theorem
OAI.AffineBernstein.affineEpigraph_base_minors_of_fiber_radiusline 142Source comment
Fully geometric formulation of the actual large-minor estimate: only the fibers' position in a fixed ball and a base collar are needed.theorem affineEpigraph_base_minors_of_fiber_radius {n k : ℕ} {Ω : Set (Space n)} (hΩ : IsOpen Ω) (hcv : Convex ℝ Ω) {u : Space n → ℝ} (hu : ContDiffOn ℝ ∞ u Ω) (hp : ∀ x ∈ Ω, (hessian u x).PosDef) (a : Space n × ℝ) (L : (Space k × E) ≃L[ℝ] (Space n × ℝ)) {D : Set (Space k)} (hD : IsOpen D) (hcD : Convex ℝ D) (hK : ∀ s ∈ D, IsCompact {y | (s,y) ∈ affineEpigraphPullback Ω u a L}) (hzero : ∀ s ∈ D, (0:E) ∈ interior {y | (s,y) ∈ affineEpigraphPullback Ω u a L}) {e : E} (he : ‖e‖ = 1) {Q : Set (Space k)} (hQ : MeasurableSet Q) (hQD : Q ⊆ D) {r M R : ℝ} (hr : 0 < r) (hM : 0 ≤ M) (hball : ∀ s ∈ Q, Metric.closedBall s r ⊆ D) (hbound : ∀ s ∈ D, ∀ y : E, (s,y) ∈ affineEpigraphPullback Ω u a L → ‖y‖ ≤ M) (hR : ∀ s ∈ Q, ‖s‖ ≤ R) : …Mentions: OAI.AffineBernstein.Space, OAI.AffineBernstein.hessian, OAI.AffineBernstein.affineEpigraphPullback