Concavity of the Linear–Quadratic Posterior Exponent
ProvedFunctionalInequalities.Probability.Posterior.quadraticExponent_concave_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This statement establishes concavity of the linear–quadratic exponent used for posterior tilting.
Let be a real inner-product space, , and a continuous linear map. Assume:
- is symmetric: for all .
- is positive semidefinite: for every .
For quadraticExponent defined by
this function is concave on all of :
The result supplies the concavity condition needed to show that the associated linear–quadratic posterior is log-concave.
Original Lean declaration header
Within namespace FunctionalInequalities.Probability.Posterior. Shown in its original module context. Proof omitted.
theorem quadraticExponent_concave (c : E) (Q : E →L[ℝ] E)
(hSym : ∀ u v : E, ⟪Q u, v⟫ = ⟪u, Q v⟫)
(hQ : ∀ x : E, 0 ≤ ⟪Q x, x⟫) : ConcaveOn ℝ univ (quadraticExponent c Q)
Module navigation
Module: Probability/Posterior/Exponent.
Source excerpt, lines 59–61 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Posterior_Exponent
open scoped RealInnerProductSpace
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
open Set
Formal statement
theorem FunctionalInequalities.Probability.Posterior.quadraticExponent_concave_readable (c : E) (Q : E →L[ℝ] E)
(hSym : ∀ u v : E, ⟪Q u, v⟫ = ⟪u, Q v⟫)
(hQ : ∀ x : E, 0 ≤ ⟪Q x, x⟫) : ConcaveOn ℝ univ (quadraticExponent c Q) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/Posterior/Exponent.lean#L57-L81 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Posterior.Exponent`, declaration `FunctionalInequalities.Probability.Posterior.quadraticExponent_concave`; the repository is private at upload time).