Strict Covariance Positivity from Full Affine Support
ProvedFunctionalInequalities.Covariance.inner_operator_self_pos_of_affineSupport_eq_top_readableThis proves strict positivity of the covariance operator under full affine support.
Let be a finite-dimensional real inner-product space with its Borel measurable structure, and let be a probability measure on such that . Assume that the affine support of is all of :
Then every nonzero vector satisfies
Thus the ambient covariance quadratic form is positive definite under the stated support condition.
The result is useful for obtaining invertibility or coercivity of covariance on a full affine support.
Original Lean declaration header
Within namespace FunctionalInequalities. Shown in its original module context. Proof omitted.
theorem Covariance.inner_operator_self_pos_of_affineSupport_eq_top (μ : ProbabilityMeasure E)
(h2 : MemLp id 2 (μ : Measure E)) (hfull : Probability.affineSupport μ = ⊤)
{v : E} (hv : v ≠ 0) : 0 < ⟪Covariance.operator (μ : Measure E) v, v⟫
Module navigation
Module: Probability/Covariance/Positivity.
Definition modules: Probability/Covariance/Basic, Probability/AffineSupport.
Source excerpt, lines 21–23 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Covariance_Positivity
open MeasureTheory ProbabilityTheory
open scoped RealInnerProductSpace
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
theorem FunctionalInequalities.Covariance.inner_operator_self_pos_of_affineSupport_eq_top_readable (μ : ProbabilityMeasure E)
(h2 : MemLp id 2 (μ : Measure E)) (hfull : Probability.affineSupport μ = ⊤)
{v : E} (hv : v ≠ 0) : 0 < ⟪Covariance.operator (μ : Measure E) v, v⟫ := by sorry