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Add lean source and binary files (part 122)
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import Mathlib
namespace OAI
noncomputable section
open scoped BigOperators
namespace Problem367.FinitePosterior
variable {ι : Type*} [Fintype ι]
def weight (energy signal : ι → ℝ) (t : ℝ) (s : ι) : ℝ :=
Real.exp (energy s + t * signal s)
def partition (energy signal : ι → ℝ) (t : ℝ) : ℝ :=
∑ s, weight energy signal t s
def mean (energy signal observable : ι → ℝ) (t : ℝ) : ℝ :=
(∑ s, observable s * weight energy signal t s) / partition energy signal t
def mass (energy signal : ι → ℝ) (t : ℝ) (s : ι) : ℝ :=
weight energy signal t s / partition energy signal t
omit [Fintype ι] in
lemma weight_pos (energy signal : ι → ℝ) (t : ℝ) (s : ι) :
0 < weight energy signal t s := Real.exp_pos _
lemma partition_pos [Nonempty ι] (energy signal : ι → ℝ) (t : ℝ) :
0 < partition energy signal t := by
exact Finset.sum_pos (fun s _ => weight_pos energy signal t s) Finset.univ_nonempty
lemma partition_ne_zero [Nonempty ι] (energy signal : ι → ℝ) (t : ℝ) :
partition energy signal t ≠ 0 := ne_of_gt (partition_pos energy signal t)
lemma mass_pos [Nonempty ι] (energy signal : ι → ℝ) (t : ℝ) (s : ι) :
0 < mass energy signal t s :=
div_pos (weight_pos energy signal t s) (partition_pos energy signal t)
lemma sum_mass [Nonempty ι] (energy signal : ι → ℝ) (t : ℝ) :
∑ s, mass energy signal t s = 1 := by
simp only [mass, ← Finset.sum_div]
change partition energy signal t / partition energy signal t = 1
exact div_self (partition_ne_zero energy signal t)
lemma mean_eq_sum_mass (energy signal observable : ι → ℝ) (t : ℝ) :
mean energy signal observable t = ∑ s, observable s * mass energy signal t s := by
simp only [mean, mass, ← mul_div_assoc, ← Finset.sum_div]
lemma mean_const [Nonempty ι] (energy signal : ι → ℝ) (t c : ℝ) :
mean energy signal (fun _ => c) t = c := by
rw [mean_eq_sum_mass, ← Finset.mul_sum, sum_mass, mul_one]
omit [Fintype ι] in
lemma hasDerivAt_weight (energy signal : ι → ℝ) (t : ℝ) (s : ι) :
HasDerivAt (fun x => weight energy signal x s)
(signal s * weight energy signal t s) t := by
simpa [weight, mul_comm] using
(((hasDerivAt_id t).mul_const (signal s)).const_add (energy s)).exp
lemma hasDerivAt_partition (energy signal : ι → ℝ) (t : ℝ) :
HasDerivAt (partition energy signal)
(∑ s, signal s * weight energy signal t s) t := by
exact HasDerivAt.fun_sum (fun s _ => hasDerivAt_weight energy signal t s)
theorem hasDerivAt_mean [Nonempty ι] (energy signal observable : ι → ℝ) (t : ℝ) :
HasDerivAt (mean energy signal observable)
(mean energy signal (fun s => observable s * signal s) t -
mean energy signal observable t * mean energy signal signal t) t := by
have hn : HasDerivAt (fun x => ∑ s, observable s * weight energy signal x s)
(∑ s, (observable s * signal s) * weight energy signal t s) t := by
simpa only [mul_assoc] using HasDerivAt.fun_sum
(fun s (_ : s ∈ Finset.univ) =>
(hasDerivAt_weight energy signal t s).const_mul (observable s))
convert! hn.div (hasDerivAt_partition energy signal t)
(partition_ne_zero energy signal t) using 1
dsimp [mean]
field_simp
lemma hasDerivAt_log_partition [Nonempty ι] (energy signal : ι → ℝ) (t : ℝ) :
HasDerivAt (fun x => Real.log (partition energy signal x))
(mean energy signal signal t) t := by
simpa only [mean] using (hasDerivAt_partition energy signal t).log
(partition_ne_zero energy signal t)
lemma hasDerivAt_mass [Nonempty ι] (energy signal : ι → ℝ) (t : ℝ) (s : ι) :
HasDerivAt (fun x => mass energy signal x s)
((signal s - mean energy signal signal t) * mass energy signal t s) t := by
convert! (hasDerivAt_weight energy signal t s).div
(hasDerivAt_partition energy signal t) (partition_ne_zero energy signal t) using 1
dsimp [mass, mean]
field_simp [partition_ne_zero energy signal t]
lemma variance_eq_sum [Nonempty ι] (energy signal observable : ι → ℝ) (t : ℝ) :
mean energy signal (fun s => (observable s) ^ 2) t -
(mean energy signal observable t) ^ 2 =
∑ s, (observable s - mean energy signal observable t) ^ 2 *
mass energy signal t s := by
have heq (s : ι) :
(observable s - mean energy signal observable t) ^ 2 * mass energy signal t s =
(observable s) ^ 2 * mass energy signal t s -
(2 * mean energy signal observable t) * (observable s * mass energy signal t s) +
(mean energy signal observable t) ^ 2 * mass energy signal t s := by ring
simp_rw [heq]
rw [Finset.sum_add_distrib, Finset.sum_sub_distrib,
← Finset.mul_sum, ← Finset.mul_sum, sum_mass,
← mean_eq_sum_mass, ← mean_eq_sum_mass]
ring
lemma variance_nonneg [Nonempty ι] (energy signal observable : ι → ℝ) (t : ℝ) :
0 ≤ mean energy signal (fun s => (observable s) ^ 2) t -
(mean energy signal observable t) ^ 2 := by
rw [variance_eq_sum]
exact Finset.sum_nonneg (fun s _ => mul_nonneg (sq_nonneg _) (mass_pos energy signal t s).le)
lemma variance_pos [Nonempty ι] (energy signal observable : ι → ℝ) (t : ℝ)
(h : ∃ i j, observable i ≠ observable j) :
0 < mean energy signal (fun s => (observable s) ^ 2) t -
(mean energy signal observable t) ^ 2 := by
rw [variance_eq_sum]
apply Finset.sum_pos'
· intro s _
exact mul_nonneg (sq_nonneg _) (mass_pos energy signal t s).le
· obtain ⟨i, j, hij⟩ := h
have hex : ∃ s, observable s ≠ mean energy signal observable t := by
by_contra! hn
exact hij ((hn i).trans (hn j).symm)
obtain ⟨s, hs⟩ := hex
exact ⟨s, Finset.mem_univ s,
mul_pos (sq_pos_of_ne_zero (sub_ne_zero.mpr hs)) (mass_pos energy signal t s)⟩
theorem hasDerivAt_spin_mean [Nonempty ι] (energy spin : ι → ℝ) (t : ℝ)
(hspin : ∀ s, spin s = -1 ∨ spin s = 1) :
HasDerivAt (mean energy spin spin)
(1 - (mean energy spin spin t) ^ 2) t := by
have heq : (fun s => spin s * spin s) = (fun _ : ι => (1 : ℝ)) := by
funext s
rcases hspin s with hs | hs <;> simp [hs]
have hd := hasDerivAt_mean energy spin spin t
rw [heq, mean_const] at hd
simpa only [← sq] using hd
theorem mean_monotone [Nonempty ι] (energy signal : ι → ℝ) :
Monotone (mean energy signal signal) := by
apply monotone_of_deriv_nonneg
· intro t
exact (hasDerivAt_mean energy signal signal t).differentiableAt
· intro t
rw [(hasDerivAt_mean energy signal signal t).deriv]
simpa only [← sq] using variance_nonneg energy signal signal t
lemma mean_lt [Nonempty ι] (energy signal observable : ι → ℝ) (t c : ℝ)
(hle : ∀ s, observable s ≤ c) (hlt : ∃ s, observable s < c) :
mean energy signal observable t < c := by
apply (div_lt_iff₀ (partition_pos energy signal t)).2
rw [partition, Finset.mul_sum]
apply Finset.sum_lt_sum
· intro s _
exact mul_le_mul_of_nonneg_right (hle s) (weight_pos energy signal t s).le
· obtain ⟨s, hs⟩ := hlt
exact ⟨s, Finset.mem_univ s, mul_lt_mul_of_pos_right hs (weight_pos energy signal t s)⟩
lemma lt_mean [Nonempty ι] (energy signal observable : ι → ℝ) (t c : ℝ)
(hle : ∀ s, c ≤ observable s) (hlt : ∃ s, c < observable s) :
c < mean energy signal observable t := by
apply (lt_div_iff₀ (partition_pos energy signal t)).2
rw [partition, Finset.mul_sum]
apply Finset.sum_lt_sum
· intro s _
exact mul_le_mul_of_nonneg_right (hle s) (weight_pos energy signal t s).le
· obtain ⟨s, hs⟩ := hlt
exact ⟨s, Finset.mem_univ s, mul_lt_mul_of_pos_right hs (weight_pos energy signal t s)⟩
theorem spin_mean_mem_Ioo [Nonempty ι] (energy signal spin : ι → ℝ) (t : ℝ)
(hspin : ∀ s, spin s = -1 ∨ spin s = 1)
(hneg : ∃ s, spin s = -1) (hpos : ∃ s, spin s = 1) :
mean energy signal spin t ∈ Set.Ioo (-1 : ℝ) 1 := by
constructor
· apply lt_mean energy signal spin t (-1)
· intro s
rcases hspin s with hs | hs <;> simp [hs]
· obtain ⟨s, hs⟩ := hpos
exact ⟨s, by simp [hs]⟩
· apply mean_lt energy signal spin t 1
· intro s
rcases hspin s with hs | hs <;> simp [hs]
· obtain ⟨s, hs⟩ := hneg
exact ⟨s, by simp [hs]⟩
end Problem367.FinitePosterior
end
end OAI