OAI/Probability/InvariantIsing/Arrays/TensorWardReplica.lean
9 declarations, 0 contain sorry, 0 declared as axioms
Finite Ward terms expressed as ordinary reference-replica observables. These identities prepare countable leaf exhaustion without differentiating an infinite Gibbs integral.
- lemma
OAI.InvariantIsing.referenceReplicaMean_finiteGibbsline 19 - lemma
OAI.InvariantIsing.referenceReplicaMean_oneline 26 - lemma
OAI.InvariantIsing.referenceReplicaMean_twoline 35 - lemma
OAI.InvariantIsing.referenceReplicaMean_threeline 44 - lemma
OAI.InvariantIsing.finiteGibbsVariation_referenceline 65 - lemma
OAI.InvariantIsing.finiteGibbsVariation_pair_referenceline 83Source documentation
A pair-state derivative reduces to two- and three-replica averages under the original state prior.
lemma finiteGibbsVariation_pair_reference (ν : Measure S) [IsProbabilityMeasure ν] (H A : S → ℝ) (O dO : S → S → ℝ) : finiteGibbsVariation (fun p : S × S => ν.real {p.1} * ν.real {p.2}) (fun p => H p.1 + H p.2) (fun p => O p.1 p.2) (fun p => A p.1 + A p.2) (fun p => dO p.1 p.2) = referenceReplicaMean ν H (fun σ : Fin 2 → S => dO (σ 0) (σ 1) + O (σ 0) (σ 1) * (A (σ 0) + A (σ 1))) - 2 * referenceReplicaMean ν H (fun σ : Fin 3 → S => O (σ 0) (σ 1) * A (σ 2)) := by …Mentions: OAI.InvariantIsing.finiteGibbsVariation
- lemma
OAI.InvariantIsing.gaussianWardCorrection_referenceline 105 - lemma
OAI.InvariantIsing.gibbsKernelCorrection_referenceline 118 - lemma
OAI.InvariantIsing.gibbsKernelCorrection_pair_referenceline 133Source documentation
Pair-state Gaussian corrections can be exhausted on the product prior without expanding them into six individually named replicas.
lemma gibbsKernelCorrection_pair_reference (ν : Measure S) [IsProbabilityMeasure ν] (H : S × S → ℝ) (C : (S × S) → (S × S) → (S × S) → ℝ) : gibbsKernelCorrection (fun p : S × S => ν.real {p.1} * ν.real {p.2}) H C = referenceReplicaMean (ν.prod ν) H (fun σ : Fin 1 → S × S => C (σ 0) (σ 0) (σ 0)) - referenceReplicaMean (ν.prod ν) H (fun σ : Fin 2 → S × S => C (σ 0) (σ 0) (σ 1)) - referenceReplicaMean (ν.prod ν) H (fun σ : Fin 2 → S × S => C (σ 0) (σ 1) (σ 0) + C (σ 0) (σ 1) (σ 1)) + 2 * referenceReplicaMean (ν.prod ν) H (fun σ : Fin 3 → S × S => C (σ 0) (σ 1) (σ 2)) := by …Mentions: OAI.InvariantIsing.gibbsKernelCorrection