File size: 6,524 Bytes
f61e547
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
import OAI.Probability.FreeIsing.Ising.CopyCavityBounds
import OAI.Probability.FreeIsing.Ising.ObservationComparison

namespace OAI

noncomputable section

open MeasureTheory ProbabilityTheory
open scoped NNReal ENNReal

namespace Problem367.IsingCopyPathBounds

open IsingObservationInnovation IsingObservationFactor IsingCopyStationarity

variable {d : ℕ} {beta : ℝ}
variable {μ : Measure (TreeVertex d → IsingSpin)} [IsProbabilityMeasure μ]

def edgeLogDifference (hbeta : 0 ≤ beta) (t : ℝ≥0) (v w : TreeVertex d)
    (q : IsingConditionalCopyBounds.CopySpace d) : ℝ :=
  Real.log (responseAttenuation (Real.tanh beta)
    (CavityArray.field (tanh_nonneg_of_beta_nonneg hbeta) (Real.tanh_lt_one beta)
      (sitePair beta t q).1 v w)) -
  Real.log (responseAttenuation (Real.tanh beta)
    (CavityArray.field (tanh_nonneg_of_beta_nonneg hbeta) (Real.tanh_lt_one beta)
      (sitePair beta t q).2 v w))

def edgeLogBound (d : ℕ) (beta : ℝ) (T : ℝ≥0) : ℝ :=
  2 * ((2 * (T : ℝ) + 2 * (d : ℝ) * beta) / (1 - Real.tanh beta))

theorem edgeLogBound_nonneg (hbeta : 0 ≤ beta) (T : ℝ≥0) :
    0 ≤ edgeLogBound d beta T := by
  have hden : 0 < 1 - Real.tanh beta := sub_pos.mpr (Real.tanh_lt_one beta)
  unfold edgeLogBound
  positivity

theorem measurable_edgeLogDifference (hbeta : 0 ≤ beta) (t : ℝ≥0)
    (v w : TreeVertex d) : Measurable (edgeLogDifference hbeta t v w) := by
  have h0 := tanh_nonneg_of_beta_nonneg hbeta
  have h1 := Real.tanh_lt_one beta
  have hs : Real.tanh beta ^ 2 ≤ 1 := by nlinarith
  have hl := (lipschitzWith_log_responseAttenuation hs).continuous.measurable
  have hc := CavityArray.measurable_field_apply h0 h1 v w
  exact (hl.comp (hc.comp (measurable_fst.comp (measurable_sitePair beta t)))).sub
    (hl.comp (hc.comp (measurable_snd.comp (measurable_sitePair beta t))))

theorem ae_all_siteDifference_bound
    (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
    {t T : ℝ≥0} (ht : t ≤ T) :
    ∀ᵐ q ∂copies beta μ, ∀ v : TreeVertex d,
      |(sitePair beta t q).1 v - (sitePair beta t q).2 v| ≤
        2 * (T : ℝ) + 2 * (d : ℝ) * beta := by
  apply ae_all_iff.mpr
  intro v
  have : IsProbabilityMeasure ((observationLaw μ).map (innovationMap beta)) :=
    inferInstance
  have h := IsingConditionalCopyBounds.ae_fieldDifference_bound hμ hbeta
    kernel_graphLaw t v
  filter_upwards [h] with q hq
  have ht' : (t : ℝ) ≤ (T : ℝ) := ht
  exact hq.trans (by linarith)

theorem ae_edgeLogDifference_bound
    (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
    {t T : ℝ≥0} (ht : t ≤ T) (v w : TreeVertex d) :
    ∀ᵐ q ∂copies beta μ,
      |edgeLogDifference hbeta t v w q| ≤ edgeLogBound d beta T := by
  have h0 := tanh_nonneg_of_beta_nonneg hbeta
  have h1 := Real.tanh_lt_one beta
  have hs : Real.tanh beta ^ 2 ≤ 1 := by nlinarith
  filter_upwards [ae_all_siteDifference_bound hμ hbeta ht] with q hq
  have hc := CavityArray.field_sub_abs_le h0 h1 v w (hq v) (hq w)
  have hl := (lipschitzWith_log_responseAttenuation hs).dist_le_mul
    (CavityArray.field h0 h1 (sitePair beta t q).1 v w)
    (CavityArray.field h0 h1 (sitePair beta t q).2 v w)
  apply (show |edgeLogDifference hbeta t v w q| ≤
    2 * |CavityArray.field h0 h1 (sitePair beta t q).1 v w -
      CavityArray.field h0 h1 (sitePair beta t q).2 v w| from by
        simpa only [edgeLogDifference, Real.dist_eq, NNReal.coe_ofNat] using hl).trans
  exact mul_le_mul_of_nonneg_left hc (by norm_num)

def pathLogDifference {ι : Type*} (hbeta : 0 ≤ beta) (t : ℝ≥0)
    (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d)
    (q : IsingConditionalCopyBounds.CopySpace d) : ℝ :=
  ∑ i ∈ s, edgeLogDifference hbeta t (e i).1 (e i).2 q

theorem measurable_pathLogDifference {ι : Type*}
    (hbeta : 0 ≤ beta) (t : ℝ≥0) (s : Finset ι)
    (e : ι → TreeVertex d × TreeVertex d) :
    Measurable (pathLogDifference hbeta t s e) :=
  Finset.measurable_fun_sum s (fun i _ =>
    measurable_edgeLogDifference hbeta t (e i).1 (e i).2)

theorem ae_pathLogDifference_bound {ι : Type*}
    (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
    {t T : ℝ≥0} (ht : t ≤ T) (s : Finset ι)
    (e : ι → TreeVertex d × TreeVertex d) :
    ∀ᵐ q ∂copies beta μ,
      |pathLogDifference hbeta t s e q| ≤ (s.card : ℝ) * edgeLogBound d beta T := by
  classical
  have hall : ∀ᵐ q ∂copies beta μ, ∀ i ∈ s,
      |edgeLogDifference hbeta t (e i).1 (e i).2 q| ≤ edgeLogBound d beta T :=
    (ae_ball_iff s.finite_toSet.countable).mpr (fun i _ =>
      ae_edgeLogDifference_bound hμ hbeta ht (e i).1 (e i).2)
  filter_upwards [hall] with q hq
  calc
    |pathLogDifference hbeta t s e q| ≤
        ∑ i ∈ s, |edgeLogDifference hbeta t (e i).1 (e i).2 q| :=
      Finset.abs_sum_le_sum_abs _ _
    _ ≤ ∑ _i ∈ s, edgeLogBound d beta T := Finset.sum_le_sum hq
    _ = (s.card : ℝ) * edgeLogBound d beta T := by simp

theorem ae_pathLogDifference_sq_bound {ι : Type*}
    (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
    {t T : ℝ≥0} (ht : t ≤ T) (s : Finset ι)
    (e : ι → TreeVertex d × TreeVertex d) :
    ∀ᵐ q ∂copies beta μ,
      pathLogDifference hbeta t s e q ^ 2 ≤
        (s.card : ℝ) ^ 2 * edgeLogBound d beta T ^ 2 := by
  filter_upwards [ae_pathLogDifference_bound hμ hbeta ht s e] with q hq
  have hb : 0 ≤ (s.card : ℝ) * edgeLogBound d beta T :=
    mul_nonneg (Nat.cast_nonneg _) (edgeLogBound_nonneg hbeta T)
  simpa only [sq_abs, mul_pow] using (sq_le_sq₀ (abs_nonneg _) hb).mpr hq

theorem memLp_pathLogDifference {ι : Type*}
    (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
    (t : ℝ≥0) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d)
    (p : ℝ≥0∞) : MemLp (pathLogDifference hbeta t s e) p (copies beta μ) := by
  apply MemLp.of_bound (measurable_pathLogDifference hbeta t s e).aestronglyMeasurable
    ((s.card : ℝ) * edgeLogBound d beta t)
  simpa only [Real.norm_eq_abs] using ae_pathLogDifference_bound hμ hbeta le_rfl s e

theorem integrable_pathLogDifference_sq {ι : Type*}
    (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
    (t : ℝ≥0) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d) :
    Integrable (fun q => pathLogDifference hbeta t s e q ^ 2) (copies beta μ) :=
  (memLp_pathLogDifference hμ hbeta t s e 2).integrable_sq

end Problem367.IsingCopyPathBounds

end

end OAI