Open Slopes With Interior Truncated Maximizers
ProvedFunctionalInequalities.Analysis.isOpen_setOf_truncatedConjugate_maximizer_lt_readableThis proves openness of a set of admissible slopes for the truncated conjugate.
Let be a finite-dimensional real inner-product space, let be continuous, and let satisfy . Define the set of slopes such that every maximizer in the closed ball of truncatedConjugate satisfies :
This set is open.
The result is a technical topological ingredient for identifying subgradient images of the truncated conjugate.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
theorem isOpen_setOf_truncatedConjugate_maximizer_lt {u : E → ℝ} (hu : Continuous u) {M : ℝ}
(hM : 0 ≤ M) :
IsOpen {p : E | ∀ x ∈ closedBall (0 : E) M,
truncatedConjugate u M p = ⟪p, x⟫ - u x → ‖x‖ < M}
Module navigation
Module: Analysis/Convex/Caffarelli.
Supporting theorems: convexOn_truncatedConjugate.
Previous: truncatedConjugate_centered_spec · Next: n7_subgradient_eq_maximizer.
Source excerpt, lines 1552–1555 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Caffarelli
open Set Metric
open scoped RealInnerProductSpace Topology
variable {E : Type*}
variable [NormedAddCommGroup E] [InnerProductSpace ℝ E]
variable [FiniteDimensional ℝ E]
theorem FunctionalInequalities.Analysis.isOpen_setOf_truncatedConjugate_maximizer_lt_readable {u : E → ℝ} (hu : Continuous u) {M : ℝ}
(hM : 0 ≤ M) :
IsOpen {p : E | ∀ x ∈ closedBall (0 : E) M,
truncatedConjugate u M p = ⟪p, x⟫ - u x → ‖x‖ < M} := by sorry