openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Arrays /NSpinTensorTerminalDerivative.lean
roseking's picture
Add lean source and binary files (part 122)
b317718 verified
Raw History Blame Contribute Delete
10.2 kB
import OAI.Probability.InvariantIsing.Arrays.NSpinTensorPairPaths
import OAI.Probability.InvariantIsing.Pressure.ThermalPressure
namespace OAI
/-! Terminal derivatives and the projected magnetization form of pair paths. -/
noncomputable section
open MeasureTheory ProbabilityTheory IsingPerceptron
open scoped BigOperators NNReal ENNReal
namespace InvariantIsing
lemma integral_uniformSpinPrior {N : ℕ} (f : Spin N → ℝ) :
(∫ σ, f σ ∂(uniformSpinPrior N : Measure (Spin N))) =
(Fintype.card (Spin N) : ℝ)⁻¹ * ∑ σ, f σ := by
change (∫ σ, f σ ∂(PMF.uniformOfFintype (Spin N)).toMeasure) = _
rw [integral_fintype (Integrable.of_finite)]
simp only [measureReal_def,
PMF.toMeasure_apply_singleton _ _ (measurableSet_singleton _),
PMF.uniformOfFintype_apply, ENNReal.toReal_inv, ENNReal.toReal_natCast, smul_eq_mul]
rw [Finset.mul_sum]
lemma integral_uniformSpinGibbs_eq {N : ℕ} (H A : Spin N → ℝ) :
(∫ σ, A σ ∂gibbsProbability (uniformSpinPrior N : Measure (Spin N)) H) =
gibbsAverage (fun _ => 1) H A := by
rw [gibbsProbability_eq_tilted _ _ Integrable.of_finite, integral_tilted,
integral_uniformSpinPrior]
have hp : referencePartition (uniformSpinPrior N : Measure (Spin N)) H =
(Fintype.card (Spin N) : ℝ)⁻¹ * finitePartition (fun _ => 1) H := by
rw [referencePartition, integral_uniformSpinPrior]
simp only [finitePartition, one_mul]
change (Fintype.card (Spin N) : ℝ)⁻¹ *
∑ σ, (Real.exp (H σ) / referencePartition (uniformSpinPrior N : Measure (Spin N)) H) * A σ = _
rw [hp, Finset.mul_sum]
unfold gibbsAverage finiteGibbs
apply Finset.sum_congr rfl
intro σ _
have hc : (Fintype.card (Spin N) : ℝ) ≠ 0 := Nat.cast_ne_zero.mpr Fintype.card_ne_zero
have hZ : finitePartition (fun _ : Spin N => 1) H ≠ 0 :=
ne_of_gt (finitePartition_pos GibbsReference_one H)
field_simp
def tensorCoordinateVariation {N m k : ℕ} (I : Fin m → Finset (Fin N))
(degree : Fin k → Fin m → ℕ) (z : SpinTensorIndex I degree → ℝ)
(j : SpinTensorIndex I degree) (t : ℝ) : SpinTensorIndex I degree → ℝ :=
fun i => z i + if i = j then t else 0
lemma spinTensorEnergy_coordinateVariation {N m k : ℕ} (U : Rotation N)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(z : SpinTensorIndex I degree → ℝ) (j : SpinTensorIndex I degree) (t : ℝ) (σ : Spin N) :
spinTensorEnergy U I degree amplitude (tensorCoordinateVariation I degree z j t) σ =
spinTensorEnergy U I degree amplitude z σ + t * spinTensorFeature U I degree amplitude σ j := by
classical
simp only [spinTensorEnergy, tensorCoordinateVariation, add_mul, Finset.sum_add_distrib]
congr 1
simp only [ite_mul, zero_mul]
simp
def tensorTerminalCoordinateMean {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(z : SpinTensorIndex I degree → ℝ) (j : SpinTensorIndex I degree) : ℝ :=
gibbsAverage (fun _ => 1) (tensorSpinBaseEnergy eig U c I degree amplitude z)
(fun σ => spinTensorFeature U I degree amplitude σ j)
def tensorFeatureCoordinateCap {N m k : ℕ} (U : Rotation N)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(j : SpinTensorIndex I degree) : ℝ :=
∑ σ : Spin N, |spinTensorFeature U I degree amplitude σ j|
lemma tensorTerminalCoordinateMean_abs_le {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(z : SpinTensorIndex I degree → ℝ) (j : SpinTensorIndex I degree) :
|tensorTerminalCoordinateMean eig U c I degree amplitude z j| ≤
tensorFeatureCoordinateCap U I degree amplitude j := by
apply abs_gibbsAverage_le GibbsReference_one
intro σ
exact Finset.single_le_sum (fun τ _ => abs_nonneg (spinTensorFeature U I degree amplitude τ j))
(Finset.mem_univ σ)
lemma measurable_tensorTerminalCoordinateMean {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(j : SpinTensorIndex I degree) :
Measurable (fun z => tensorTerminalCoordinateMean eig U c I degree amplitude z j) := by
apply measurable_gibbsAverage (fun _ => 1)
· intro σ
exact (((measurable_pi_apply σ).comp (measurable_spinTensorEnergyMark U I degree amplitude))).const_add
(rotatedEnergy eig U σ + fieldEnergy c σ)
· intro _
exact measurable_const
/-- An actual coordinate derivative of the finite Ising terminal. -/
theorem hasDerivAt_spinTensorTerminal_coordinate {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(z : SpinTensorIndex I degree → ℝ) (j : SpinTensorIndex I degree) (t : ℝ) :
HasDerivAt (fun s => spinTensorTerminal eig U c I degree amplitude
(tensorCoordinateVariation I degree z j s))
(tensorTerminalCoordinateMean eig U c I degree amplitude
(tensorCoordinateVariation I degree z j t) j) t := by
have hH (σ : Spin N) : HasDerivAt (fun s => tensorSpinBaseEnergy eig U c I degree amplitude
(tensorCoordinateVariation I degree z j s) σ) (spinTensorFeature U I degree amplitude σ j) t := by
simp only [tensorSpinBaseEnergy, spinTensorEnergy_coordinateVariation]
convert ((hasDerivAt_id t).mul_const (spinTensorFeature U I degree amplitude σ j)).const_add
(rotatedEnergy eig U σ + fieldEnergy c σ + spinTensorEnergy U I degree amplitude z σ) using 1
· funext s
simp only [id_eq]
ring
· simp
have hd := (hasDerivAt_log_finitePartition GibbsReference_one hH).sub_const
(Real.log (Fintype.card (Spin N)))
convert hd using 1
· funext s
simp only [spinTensorTerminal, logPartition_eq, finitePartition, one_mul, tensorSpinBaseEnergy]
· rfl
def tensorProjectedMagnetization {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(z : SpinTensorIndex I degree → ℝ) (a : Fin N) : ℝ :=
gibbsAverage (fun _ => 1) (tensorSpinBaseEnergy eig U c I degree amplitude z)
(fun σ => U (spinVector σ) a)
lemma tensorProjectedMagnetization_eq {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(z : SpinTensorIndex I degree → ℝ) (a : Fin N) :
tensorProjectedMagnetization eig U c I degree amplitude z a =
U (WithLp.toLp 2 (fun i => tensorTerminalCoordinateMean eig U c I degree amplitude z (Sum.inl i))) a := by
let H := tensorSpinBaseEnergy eig U c I degree amplitude z
have hm : WithLp.toLp 2 (fun i => tensorTerminalCoordinateMean eig U c I degree amplitude z (Sum.inl i)) =
∑ σ : Spin N, finiteGibbs (fun _ => 1) H σ • spinVector σ := by
ext i
change tensorTerminalCoordinateMean eig U c I degree amplitude z (Sum.inl i) =
(WithLp.ofLp (∑ σ : Spin N, finiteGibbs (fun _ => 1) H σ • spinVector σ)) i
rw [WithLp.ofLp_sum, Finset.sum_apply]
simp only [tensorTerminalCoordinateMean, gibbsAverage, spinTensorFeature,
WithLp.ofLp_smul, Pi.smul_apply, smul_eq_mul, spinVector, H]
rw [hm, map_sum]
change gibbsAverage (fun _ => 1) H (fun σ => U (spinVector σ) a) =
(WithLp.ofLp (∑ σ : Spin N, U (finiteGibbs (fun _ => 1) H σ • spinVector σ))) a
rw [WithLp.ofLp_sum, Finset.sum_apply]
simp only [map_smul, WithLp.ofLp_smul, Pi.smul_apply, smul_eq_mul, gibbsAverage]
lemma tensorPairPathSpinMean_overlap {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(n : ℕ) (p : TensorPairPathData I degree n) (J : Finset (Fin N)) :
tensorPairPathSpinMean eig U c I degree amplitude n p
(fun σ => projectedOverlap U J (σ 0) (σ 1)) =
(N : ℝ)⁻¹ * ∑ a ∈ J,
tensorProjectedMagnetization eig U c I degree amplitude (tensorPairPathState I degree n p 0) a *
tensorProjectedMagnetization eig U c I degree amplitude (tensorPairPathState I degree n p 1) a := by
let μ := fun j : Fin 2 => gibbsProbability (uniformSpinPrior N : Measure (Spin N))
(tensorSpinBaseEnergy eig U c I degree amplitude (tensorPairPathState I degree n p j))
change (∫ σ : Fin 2 → Spin N, (N : ℝ)⁻¹ *
∑ a ∈ J, U (spinVector (σ 0)) a * U (spinVector (σ 1)) a ∂Measure.pi μ) = _
rw [integral_const_mul, integral_finsetSum _ (fun _ _ => Integrable.of_finite)]
congr 1
apply Finset.sum_congr rfl
intro a ha
have h := integral_fin_nat_prod_eq_prod (μ := μ) (fun (_ : Fin 2) (σ : Spin N) => U (spinVector σ) a)
simpa only [Fin.prod_univ_two, μ, integral_uniformSpinGibbs_eq, tensorProjectedMagnetization] using h
/-- The actual projected overlap along two paths is the product of the
projected terminal Gibbs gradients. -/
theorem tensorPairPathSpinMean_overlap_gradient {N m k : ℕ}
(eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ)
(I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ)
(n : ℕ) (p : TensorPairPathData I degree n) (J : Finset (Fin N)) :
tensorPairPathSpinMean eig U c I degree amplitude n p
(fun σ => projectedOverlap U J (σ 0) (σ 1)) =
(N : ℝ)⁻¹ * ∑ a ∈ J,
U (WithLp.toLp 2 (fun i => tensorTerminalCoordinateMean eig U c I degree amplitude
(tensorPairPathState I degree n p 0) (Sum.inl i))) a *
U (WithLp.toLp 2 (fun i => tensorTerminalCoordinateMean eig U c I degree amplitude
(tensorPairPathState I degree n p 1) (Sum.inl i))) a := by
simp only [tensorPairPathSpinMean_overlap, tensorProjectedMagnetization_eq]
end InvariantIsing
end
end OAI