openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Magnetic /MagneticBoundaryContinuity.lean
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import OAI.Probability.InvariantIsing.Fields.FieldHeightBoundaryContinuity
import OAI.Probability.InvariantIsing.Magnetic.MagneticImplicitBias
import OAI.Probability.InvariantIsing.Magnetic.MagneticFieldLevels
namespace OAI
/-! Continuity of the prescribed-magnetization functional along the strict
height regularization, including coincident heights and zero root variance. -/
noncomputable section
open MeasureTheory ProbabilityTheory IsingPerceptron Set Filter
open scoped NNReal Topology
namespace InvariantIsing
lemma fieldRegularized_depth (h : FieldStep) (t : ℝ) :
(fieldRegularized h t).depth = h.depth := rfl
lemma continuous_fieldRegularizedValue_bias (h : FieldStep) :
Continuous (fun p : ℝ × ℝ => fieldValue (fieldRegularized h p.1) p.2) := by
let L := fieldRegularizedIncrements h
let V := h.height (Fin.last h.depth) + 1
have hV : 0 ≤ V := add_nonneg (h.nonneg _) zero_le_one
have hL := fieldRegularizedIncrements_positive h
have hc := fieldRegularizedIncrements_continuous h
have hv := fieldRegularizedIncrements_bound h
have hval := continuous_fieldVaryingValue L hL hc hV hv
obtain ⟨hcap, hb⟩ := fieldVaryingValue_bound L hL hV hv
have hroot : Continuous (fun p : ℝ × ℝ => (fieldRegularizedRoot h p.1 : ℝ)) :=
(NNReal.continuous_coe.comp (continuous_fieldRegularizedRoot h)).comp continuous_fst
have hi := continuous_field_gaussian_integral (E := ℝ × ℝ)
(U := fun p y => fieldVaryingValue L p.1 y)
(hval.comp (continuous_fst.fst.prodMk continuous_snd)) hroot continuous_snd
hcap zero_le_one (fun p y => by simpa only [one_mul] using hb p.1 y)
have hlast : Continuous (fun p : ℝ × ℝ =>
(fieldRegularized h p.1).height (Fin.last h.depth) / 2) := by
change Continuous (fun p : ℝ × ℝ => (h.height (Fin.last h.depth) +
fieldHeightEpsilon p.1 * ((Fin.last h.depth).val + 1 : ℕ)) / 2)
have heps := continuous_fieldHeightEpsilon
fun_prop
convert hi.sub hlast using 1
funext p
rw [fieldValue_root, ← fieldRegularizedIncrements_eval,
← fieldVaryingValue_eq_scalar]
simp only [gaussianOperator, ite_true, fieldRegularized, fieldWithHeights,
fieldRegularizedHeight, Fin.val_zero, zero_add, Nat.cast_one, mul_one,
fieldRegularizedRoot, NNReal.coe_mk, Pi.sub_apply, L]
rfl
lemma continuous_fieldRegularizedMean_bias (h : FieldStep) :
Continuous (fun p : ℝ × ℝ => fieldBiasMean (fieldRegularized h p.1) p.2) := by
let L := fieldRegularizedIncrements h
let V := h.height (Fin.last h.depth) + 1
have hV : 0 ≤ V := add_nonneg (h.nonneg _) zero_le_one
have hL := fieldRegularizedIncrements_positive h
have hc := fieldRegularizedIncrements_continuous h
have hv := fieldRegularizedIncrements_bound h
have hm := continuous_fieldVaryingMean L hL hc hV hv
have hroot : Continuous (fun p : ℝ × ℝ => (fieldRegularizedRoot h p.1 : ℝ)) :=
(NNReal.continuous_coe.comp (continuous_fieldRegularizedRoot h)).comp continuous_fst
have hi := continuous_field_gaussian_integral (E := ℝ × ℝ)
(U := fun p y => fieldVaryingMean L p.1 y)
(hm.comp (continuous_fst.fst.prodMk continuous_snd)) hroot continuous_snd
zero_le_one (le_refl (0 : ℝ)) (fun p y => by
simpa only [zero_mul, add_zero] using (fieldVaryingMean_regular L hL p.1).2 y)
convert hi using 1
funext p
unfold fieldBiasMean
rw [← fieldRegularizedIncrements_eval, ← fieldVaryingValue_eq_scalar,
← fieldVaryingMean_eq_scalar,
fieldSpinTransition_eq_standard 0 _ (fieldVaryingValue_regular L hL p.1).1
(fieldVaryingMean_regular L hL p.1).1, gaussianTiltAverage_zero]
simp only [fieldRegularizedRoot, fieldRegularized, fieldWithHeights,
fieldRegularizedHeight, Fin.val_zero, zero_add, Nat.cast_one, mul_one, NNReal.coe_mk]
rfl
lemma continuous_fieldRegularizedLevel_bias (h : FieldStep) (i : Fin (h.depth + 1)) :
Continuous (fun p : ℝ × ℝ => magneticLevelAtBias (fieldRegularized h p.1) p.2 i) := by
let L := fieldRegularizedIncrements h
let V := h.height (Fin.last h.depth) + 1
have hV : 0 ≤ V := add_nonneg (h.nonneg _) zero_le_one
have hL := fieldRegularizedIncrements_positive h
have hc := fieldRegularizedIncrements_continuous h
have hv := fieldRegularizedIncrements_bound h
let j : Fin (L.length + 1) := ⟨i.val, by
simpa only [L, fieldRegularizedIncrements, List.length_ofFn] using i.isLt⟩
have hm := continuous_fieldVaryingSquares L hL hc hV hv j
have hroot : Continuous (fun p : ℝ × ℝ => (fieldRegularizedRoot h p.1 : ℝ)) :=
(NNReal.continuous_coe.comp (continuous_fieldRegularizedRoot h)).comp continuous_fst
have hi := continuous_field_gaussian_integral (E := ℝ × ℝ)
(U := fun p y => fieldVaryingSquares L p.1 j y)
(hm.comp (continuous_fst.fst.prodMk continuous_snd)) hroot continuous_snd
zero_le_one (le_refl (0 : ℝ)) (fun p y => by
have hb := (fieldVaryingSquares_regular L hL p.1 j).2 y
simpa only [zero_mul, add_zero, abs_of_nonneg hb.1] using hb.2)
convert hi using 1
funext p
change fieldSpinTransition 0 (NNReal.mk ((fieldRegularized h p.1).height 0)
((fieldRegularized h p.1).nonneg 0))
(fieldScalarValue (scalarFieldIncrements (fieldRegularized h p.1))
(fun z => Real.log (Real.cosh z)))
(fieldScalarSquares (scalarFieldIncrements (fieldRegularized h p.1))
(fun z => Real.log (Real.cosh z)) Real.tanh
⟨i.val, by rw [scalarFieldIncrements_length, fieldRegularized_depth]; exact i.isLt⟩) p.2 = _
have he : fieldScalarSquares (scalarFieldIncrements (fieldRegularized h p.1))
(fun z => Real.log (Real.cosh z)) Real.tanh
⟨i.val, by rw [scalarFieldIncrements_length, fieldRegularized_depth]; exact i.isLt⟩ =
fieldVaryingSquares L p.1 j := by
rw [fieldVaryingSquares_eq_scalar]
exact fieldScalarSquares_congr_list (fieldRegularizedIncrements_eval h p.1).symm
(fun z => Real.log (Real.cosh z)) Real.tanh _ _ rfl
rw [he, ← fieldRegularizedIncrements_eval, ← fieldVaryingValue_eq_scalar,
fieldSpinTransition_eq_standard 0 _ (fieldVaryingValue_regular L hL p.1).1
(fieldVaryingSquares_regular L hL p.1 j).1, gaussianTiltAverage_zero]
simp only [fieldRegularizedRoot, fieldRegularized, fieldWithHeights,
fieldRegularizedHeight, Fin.val_zero, zero_add, Nat.cast_one, mul_one, NNReal.coe_mk]
rfl
lemma continuous_fieldRegularizedMagneticBias (h : FieldStep) {s : ℝ} (hs : |s| < 1) :
Continuous (fun t => magneticBias (fieldRegularized h t) s) := by
apply continuous_iff_continuousAt.mpr
intro t
apply parametric_bias_continuousAt
(A := fun p => fieldBiasMean (fieldRegularized h p.1) p.2)
(s := s)
· intro z
exact ((continuous_fieldRegularizedMean_bias h).comp
(continuous_id.prodMk continuous_const)).continuousAt
· exact Eventually.of_forall (fun q => strictMono_fieldBiasMean (fieldRegularized h q))
· exact Eventually.of_forall (fun q => fieldBiasMean_magneticBias (fieldRegularized h q) hs)
lemma continuous_fieldRegularizedConstrainedValue (h : FieldStep) {s : ℝ} (hs : |s| < 1) :
Continuous (fun t => constrainedFieldValue (fieldRegularized h t) s) := by
have hb := continuous_fieldRegularizedMagneticBias h hs
have hv := (continuous_fieldRegularizedValue_bias h).comp (continuous_id.prodMk hb)
convert hv.sub (hb.mul_const s) using 1
funext t
exact constrainedFieldValue_magneticBias (fieldRegularized h t) hs
lemma continuous_fieldRegularizedMagneticLevel (h : FieldStep) {s : ℝ} (hs : |s| < 1)
(i : Fin (h.depth + 1)) :
Continuous (fun t => magneticFieldLevel (fieldRegularized h t) s i) := by
have hb : Continuous (fun t => magneticBias (fieldRegularized h t) s) :=
continuous_fieldRegularizedMagneticBias h hs
have hp : Continuous (fun t : ℝ => (t, magneticBias (fieldRegularized h t) s)) :=
continuous_id.prodMk hb
have hc : Continuous (fun p : ℝ × ℝ =>
magneticLevelAtBias (fieldRegularized h p.1) p.2 i) :=
continuous_fieldRegularizedLevel_bias h i
change Continuous (fun t : ℝ => magneticLevelAtBias (fieldRegularized h t)
(magneticBias (fieldRegularized h t) s) i)
simpa only [Function.comp_def] using hc.comp hp
end InvariantIsing
end
end OAI