openAI-math-dataset / lean /OAI /Probability /FreeIsing /Energy /ResponseSourceInvariance.lean
roseking's picture
Add lean source and binary files (part 121)
f61e547 verified
Raw History Blame Contribute Delete
3.1 kB
import OAI.Probability.FreeIsing.Posterior.FieldCalculus
namespace OAI
noncomputable section
open scoped BigOperators
namespace Problem367.FinitePosterior
variable {S : Type*} [Fintype S] [Nonempty S]
def sourceResponse (energy signal observable : S → ℝ) (t : ℝ) : ℝ :=
tiltCovariance energy signal observable t /
(1 - mean energy signal signal t ^ 2)
theorem hasDerivAt_sourceResponse (energy signal observable : S → ℝ) (t : ℝ)
(hsignal : ∀ s, signal s = -1 ∨ signal s = 1)
(hneg : ∃ s, signal s = -1) (hpos : ∃ s, signal s = 1) :
HasDerivAt (sourceResponse energy signal observable) 0 t := by
have hden := ne_of_gt (spin_mean_variance_pos energy signal signal t hsignal hneg hpos)
have hd := (hasDerivAt_tiltCovariance energy signal observable t hsignal).div
(((hasDerivAt_spin_mean energy signal t hsignal).pow 2).const_sub 1) hden
change HasDerivAt (sourceResponse energy signal observable) _ t at hd
apply hd.congr_deriv
simp only [Pi.pow_apply, Nat.cast_ofNat, Nat.reduceSub, pow_one]
field_simp [hden]
ring
theorem sourceResponse_eq (energy signal observable : S → ℝ) (t u : ℝ)
(hsignal : ∀ s, signal s = -1 ∨ signal s = 1)
(hneg : ∃ s, signal s = -1) (hpos : ∃ s, signal s = 1) :
sourceResponse energy signal observable t = sourceResponse energy signal observable u := by
exact is_const_of_deriv_eq_zero
(fun z => (hasDerivAt_sourceResponse energy signal observable z hsignal hneg hpos).differentiableAt)
(fun z => (hasDerivAt_sourceResponse energy signal observable z hsignal hneg hpos).deriv) t u
section Fields
variable {V : Type*} [Fintype V] [DecidableEq V]
omit [Nonempty S] in
theorem fieldMean_update_eq_mean (energy : S → ℝ) (spin : S → V → ℝ)
(observable : S → ℝ) (x : V → ℝ) (r : V) (t : ℝ) :
fieldMean energy spin observable (Function.update x r t) =
mean (fieldEnergy energy spin (Function.update x r 0))
(fun s => spin s r) observable t := by
have hx : Function.update x r t =
(fun v => Function.update x r 0 v + t * (if v = r then 1 else 0)) := by
funext v
by_cases hv : v = r <;> simp [hv]
rw [hx, fieldMean_along_line]
simp only [ite_mul, one_mul, zero_mul, Finset.sum_ite_eq', Finset.mem_univ, ite_true]
theorem normalizedFieldCovariance_update_source (energy : S → ℝ) (spin : S → V → ℝ)
(x : V → ℝ) (r v : V) (t u : ℝ)
(hsignal : ∀ s, spin s r = -1 ∨ spin s r = 1)
(hneg : ∃ s, spin s r = -1) (hpos : ∃ s, spin s r = 1) :
normalizedFieldCovariance energy spin (fun s => spin s r) (Function.update x r t) v =
normalizedFieldCovariance energy spin (fun s => spin s r) (Function.update x r u) v := by
have h := sourceResponse_eq (fieldEnergy energy spin (Function.update x r 0))
(fun s => spin s r) (fun s => spin s v) t u hsignal hneg hpos
unfold normalizedFieldCovariance fieldCovariance
simp only [fieldMean_update_eq_mean]
simpa only [sourceResponse, tiltCovariance, mul_comm] using h
end Fields
end Problem367.FinitePosterior
end
end OAI