import OAI.Probability.FreeIsing.Estimates.OsgoodIntegration namespace OAI noncomputable section open Set Real MeasureTheory namespace Problem367 theorem exists_last_level_crossing {V : ℝ → ℝ} {a t z : ℝ} (hat : a ≤ t) (hV : ContinuousOn V (Icc a t)) (ha : V a < z) (ht : z < V t) : ∃ u ∈ Icc a t, V u = z ∧ ∀ s ∈ Icc u t, z ≤ V s := by let S : Set ℝ := Icc a t ∩ V ⁻¹' {z} have hSclosed : IsClosed S := hV.preimage_isClosed_of_isClosed isClosed_Icc isClosed_singleton have hScompact : IsCompact S := isCompact_Icc.of_isClosed_subset hSclosed inter_subset_left have hSne : S.Nonempty := by obtain ⟨u, hu, hVu⟩ := intermediate_value_Icc hat hV ⟨ha.le, ht.le⟩ exact ⟨u, hu, hVu⟩ obtain ⟨u, hu, hmax⟩ := hScompact.exists_isMaxOn hSne continuousOn_id have huat : u ∈ Icc a t := hu.1 have hVu : V u = z := hu.2 refine ⟨u, huat, hVu, ?_⟩ intro s hs by_contra hsz have hsz' : V s < z := lt_of_not_ge hsz have hus : u < s := by apply lt_of_le_of_ne hs.1 intro h subst s linarith have hst : s ≤ t := hs.2 have hsub : Icc s t ⊆ Icc a t := by intro x hx exact ⟨huat.1.trans (hs.1.trans hx.1), hx.2⟩ obtain ⟨v, hv, hVv⟩ := intermediate_value_Icc hst (hV.mono hsub) ⟨hsz'.le, ht.le⟩ have hvS : v ∈ S := ⟨hsub hv, hVv⟩ have hvu : v ≤ u := hmax hvS linarith [hv.1] theorem eq_zero_of_positive_interval_lower_bound {V : ℝ → ℝ} {a b : ℝ} (hV : ContinuousOn V (Icc a b)) (ha : V a = 0) (hnonneg : ∀ t ∈ Icc a b, 0 ≤ V t) (hbound : ∀ t ∈ Icc a b, 0 < V t → ∃ c > 0, ∀ u ∈ Icc a t, (∀ s ∈ Icc u t, 0 < V s) → c ≤ V u) : ∀ t ∈ Icc a b, V t = 0 := by intro t ht by_contra hzero have hpos : 0 < V t := lt_of_le_of_ne (hnonneg t ht) (Ne.symm hzero) obtain ⟨c, hc, hcbound⟩ := hbound t ht hpos let z : ℝ := min c (V t) / 2 have hz : 0 < z := by dsimp [z]; positivity have hzc : z < c := by dsimp [z] linarith [min_le_left c (V t)] have hzt : z < V t := by dsimp [z] linarith [min_le_right c (V t)] have hsub : Icc a t ⊆ Icc a b := by intro x hx exact ⟨hx.1, hx.2.trans ht.2⟩ obtain ⟨u, hu, hVu, hafter⟩ := exists_last_level_crossing ht.1 (hV.mono hsub) (by simpa [ha] using hz) hzt have hcu : c ≤ V u := hcbound u hu (fun s hs => hz.trans_le (hafter s hs)) linarith theorem lower_bound_of_log_log_le {K z B : ℝ} (hK : 0 < K) (hz : 0 < z) (hbound : Real.log (1 + Real.log (K / z)) ≤ B) : min K (K / Real.exp (Real.exp B - 1)) ≤ z := by by_cases hKz : K ≤ z · exact (min_le_left _ _).trans hKz have hzK : z < K := lt_of_not_ge hKz have hratio : 1 ≤ K / z := (le_div_iff₀ hz).2 (by simpa using hzK.le) have hinner : 0 < 1 + Real.log (K / z) := by have := Real.log_nonneg hratio linarith have hlog : Real.log (K / z) ≤ Real.exp B - 1 := by have := (Real.log_le_iff_le_exp hinner).1 hbound linarith have hratio_bound : K / z ≤ Real.exp (Real.exp B - 1) := (Real.log_le_iff_le_exp (div_pos hK hz)).1 hlog have hlast : K / Real.exp (Real.exp B - 1) ≤ z := by apply (div_le_iff₀ (Real.exp_pos _)).2 have := (div_le_iff₀ hz).1 hratio_bound nlinarith exact (min_le_right _ _).trans hlast theorem eq_zero_of_log_log_comparison {V : ℝ → ℝ} {a b K C : ℝ} (hV : ContinuousOn V (Icc a b)) (ha : V a = 0) (hnonneg : ∀ t ∈ Icc a b, 0 ≤ V t) (hK : 0 < K) (hcompare : ∀ t ∈ Icc a b, ∀ u ∈ Icc a t, (∀ s ∈ Icc u t, 0 < V s) → Real.log (1 + Real.log (K / V u)) ≤ Real.log (1 + Real.log (K / V t)) + C) : ∀ t ∈ Icc a b, V t = 0 := by apply eq_zero_of_positive_interval_lower_bound hV ha hnonneg intro t ht hpos let B := Real.log (1 + Real.log (K / V t)) + C refine ⟨min K (K / Real.exp (Real.exp B - 1)), ?_, ?_⟩ · exact lt_min hK (div_pos hK (Real.exp_pos _)) · intro u hu hpositive apply lower_bound_of_log_log_le hK (hpositive u (left_mem_Icc.2 hu.2)) exact hcompare t ht u hu hpositive theorem eq_zero_of_ae_deriv_le_mul_self {V : ℝ → ℝ} {a b C : ℝ} (hV : AbsolutelyContinuousOnInterval V a b) (ha : V a = 0) (hnonneg : ∀ t ∈ Icc a b, 0 ≤ V t) (hderiv : ∀ᵐ t : ℝ, t ∈ Icc a b → deriv V t ≤ C * V t) : ∀ t ∈ Icc a b, V t = 0 := by intro t ht have hab : a ≤ b := ht.1.trans ht.2 let E : ℝ → ℝ := fun x => Real.exp (-C * x) let G : ℝ → ℝ := fun x => E x * V x have hEsmooth : ContDiff ℝ 1 E := by dsimp [E]; fun_prop have hEac : AbsolutelyContinuousOnInterval E a b := hEsmooth.contDiffOn.absolutelyContinuousOnInterval have hGac : AbsolutelyContinuousOnInterval G a b := hEac.fun_mul hV have hGderiv : ∀ᵐ x : ℝ, x ∈ Icc a b → deriv G x ≤ 0 := by filter_upwards [hV.ae_differentiableAt, hderiv] with x hdiff hle hx have hVdiff : DifferentiableAt ℝ V x := hdiff (by simpa [uIcc_of_le hab] using hx) have hEdiff : HasDerivAt E (Real.exp (-C * x) * (-C)) x := by simpa [E, mul_comm] using ((hasDerivAt_id x).const_mul (-C)).exp have hGdiff := hEdiff.mul hVdiff.hasDerivAt change deriv (E * V) x ≤ 0 rw [hGdiff.deriv] have hb := hle hx dsimp [E] nlinarith [Real.exp_pos (-C * x)] have hsub : uIcc a t ⊆ uIcc a b := by simp only [uIcc_of_le ht.1, uIcc_of_le hab] intro x hx exact ⟨hx.1, hx.2.trans ht.2⟩ have hGat := hGac.mono hsub have hint : (∫ x in a..t, deriv G x) ≤ 0 := by calc _ ≤ ∫ x in a..t, (0 : ℝ) := by apply intervalIntegral.integral_mono_ae_restrict ht.1 hGat.intervalIntegrable_deriv intervalIntegrable_const apply (ae_restrict_iff' measurableSet_Icc).2 filter_upwards [hGderiv] with x hx hxat exact hx ⟨hxat.1, hxat.2.trans ht.2⟩ _ = 0 := by simp rw [hGat.integral_deriv_eq_sub] at hint have hprod : Real.exp (-C * t) * V t ≤ 0 := by simpa [G, E, ha] using hint exact le_antisymm ((mul_le_mul_iff_right₀ (Real.exp_pos (-C * t))).1 (by simpa using hprod)) (hnonneg t ht) theorem eq_zero_of_ae_osgood {V k : ℝ → ℝ} {a b K : ℝ} (hV : AbsolutelyContinuousOnInterval V a b) (ha : V a = 0) (hnonneg : ∀ t ∈ Icc a b, 0 ≤ V t) (hupper : ∀ t ∈ Icc a b, V t ≤ K) (hK : 0 < K) (hk : IntervalIntegrable k volume a b) (hbound : ∀ᵐ t ∂volume.restrict (Icc a b), 0 < V t → deriv V t ≤ k t * V t * (1 + Real.log (K / V t))) : ∀ t ∈ Icc a b, V t = 0 := by apply eq_zero_of_log_log_comparison (C := ∫ t in a..b, |k t|) (hV.continuousOn.mono Icc_subset_uIcc) ha hnonneg hK intro t ht u hu hpositive simpa only [osgoodTransform] using osgoodTransform_le_add_integral_abs hu.1 hu.2 ht.2 hV hpositive hupper hk hbound end Problem367 end end OAI