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LeanPool.BKARForestFormula.BKAR

The Brydges–Kennedy–Abdesselam–Rivasseau forest interpolation formula #

Root facade: importing this module brings in the whole development.

For a finite vertex set V and a function ρ : (Edge V → ℝ) → ℝ smooth (C^∞) on the edge-coupling space (BKARContDiff), the BKAR forest interpolation formula states

ρ(1,…,1) = ∑_{forests F} ∫_{[0,1]^{E(F)}} ∂_{E(F)} ρ (x^F(u)) du,

summing over all acyclic edge subsets of the complete graph on V (the empty forest contributing ρ(0,…,0)), where ∂_{E(F)} is the mixed partial derivative in the edge variables of F and x^F(u) is the path-minimum interpolation: the coordinate of x^F(u) at an edge {i, j} is the minimum of u along the unique forest path joining i to j, and 0 when i and j lie in different components of F.

The flagship formal statement is BKAR.bkar_formula_forestIndex_cube_contributions in BKAR.Formula, with sector-form and empty-forest-split variants alongside, and a threshold / layer-cake API for the interpolation points in the BKAR.Threshold files.

The formalization assumes ρ is C^∞ (BKARContDiff = ContDiff ℝ ⊤) where the classical statement needs only C^{|V|-1}; this is a deliberate strengthening of the hypothesis.

References #