Monotone Smooth-Transition Exhaustion
ProvedFunctionalInequalities.Analysis.monotoneOn_and_tendsto_smoothTransition_two_sub_div_readablefunctional-inequalitieskls-conjecturekls-modularkls-readableletwin2026log-concave
This formalizes the scalar exhaustion part of Lemma A.4 of Letwin (arXiv:2607.24164v1), p. 17.
For every , define
As a function of the positive parameter , is monotone on , and
The limit is expressed as convergence along the real filter atTop to the neighborhood of .
This is a scalar monotone-exhaustion tool for cutoff constructions.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
theorem monotoneOn_and_tendsto_smoothTransition_two_sub_div (a : ℝ) :
MonotoneOn (fun R : ℝ => Real.smoothTransition (2 - a / R)) (Set.Ioi 0) ∧
Filter.Tendsto (fun R : ℝ => Real.smoothTransition (2 - a / R)) Filter.atTop (nhds 1)
Module navigation
Module: Analysis/Cutoff/Profile.
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Source excerpt, lines 422–424 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Cutoff_Profile
Formal statement
theorem FunctionalInequalities.Analysis.monotoneOn_and_tendsto_smoothTransition_two_sub_div_readable (a : ℝ) :
MonotoneOn (fun R : ℝ => Real.smoothTransition (2 - a / R)) (Set.Ioi 0) ∧
Filter.Tendsto (fun R : ℝ => Real.smoothTransition (2 - a / R)) Filter.atTop (nhds 1) := by sorry
Source
Source: Letwin, The KLS constant is O(log^(1/4) n) (arXiv:2607.24164v1), Lemma A.4. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Cutoff/Profile.lean#L420-L468 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Cutoff.Profile`, declaration `FunctionalInequalities.Analysis.monotoneOn_and_tendsto_smoothTransition_two_sub_div`; the repository is private at upload time).