Scalar Quantitative Logarithm Concavity
ProvedFunctionalInequalities.Analysis.scalar_log_gap_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This lemma is a scalar inequality underlying a matrix log-determinant estimate.
For positive real numbers and an upper bound satisfying and ,
The declaration scalar_log_gap_readable is a technical one-variable estimate. The hypotheses imply in particular that , although positivity of is not listed separately.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
private lemma scalar_log_gap {a b K : ℝ}
(ha : 0 < a) (hb : 0 < b) (haK : a ≤ K) (hbK : b ≤ K) :
Real.log b + (b - a) ^ 2 / (2 * K ^ 2) ≤
Real.log a + (b - a) / a
Module navigation
Module: Analysis/Matrix/LogDet.
Previous: forall_posDef_add_log_det_le_trace_iff · Next: log_det_add_frobenius_sq_le.
Source excerpt, lines 150–153 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Matrix_LogDet
Formal statement
lemma FunctionalInequalities.Analysis.scalar_log_gap_readable {a b K : ℝ}
(ha : 0 < a) (hb : 0 < b) (haK : a ≤ K) (hbK : b ≤ K) :
Real.log b + (b - a) ^ 2 / (2 * K ^ 2) ≤
Real.log a + (b - a) / a := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Matrix/LogDet.lean#L150-L208 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Matrix.LogDet`, declaration `_private.FunctionalInequalities.Analysis.Matrix.LogDet.0.FunctionalInequalities.Analysis.scalar_log_gap`; the repository is private at upload time).