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AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.WeightedLocalL2

Read the mathematical statements and proofs in order

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theorem AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.WeightedLocalL2.lp_locallyMemLp_volume Partial Not mapped

Read the complete mathematical statement and proof, with Lean below each

- A Gibbs L2 representative has locally integrable squared norm for volume, and is L2 on each compact volume restriction. Only continuity of the potential is required; the target needs no scalar structure or completeness.

theorem lp_locallyMemLp_volume {F : Type*} [NormedAddCommGroup F]
    (W : E → ℝ) (hW : Continuous W)
    (hI : Integrable (fun x => Real.exp (-W x)))
    (a : Lp F 2 ((volume : Measure E).tilted (fun x => -W x))) :
    LocallyIntegrable (fun x => ‖a x‖ ^ 2) (volume : Measure E) ∧
      ∀ K : Set E, IsCompact K → MemLp (fun x => a x) 2 (volume.restrict K) := by
  have hs := (memLp_two_iff_integrable_sq_norm (Lp.memLp a).aestronglyMeasurable).mp
    (Lp.memLp a)
  have hw : Integrable (fun x => Real.exp (-W x) * ‖a x‖ ^ 2) := by
    simpa only [smul_eq_mul] using (integrable_tilted_iff hI _).mp hs
  have hl : LocallyIntegrable (fun x => ‖a x‖ ^ 2) (volume : Measure E) := by
    have h := hw.locallyIntegrable.continuous_mul (Real.continuous_exp.comp hW)
    simpa only [Function.comp_apply, ← mul_assoc, ← Real.exp_add, add_neg_cancel,
      Real.exp_zero, one_mul]
      using h
  refine ⟨hl, ?_⟩
  intro K hK
  have hm : AEStronglyMeasurable (fun x => a x) (volume : Measure E) :=
    (Lp.memLp a).aestronglyMeasurable.mono_ac (absolutelyContinuous_tilted hI)
  exact (memLp_two_iff_integrable_sq_norm hm.restrict).mpr
    (hl.integrableOn_isCompact hK)

end AutoSamplingTheory.TechnicalLemmas.FunctionalInequalities.WeightedLocalL2