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Hilbert-function count for the fixed-data packet conditions

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OAI.PiExponent.FormalInterpolation.fixedData_packet_conditions_eq_colength

by polylog · Oct 20, 2026 · Mathlib 0df444a (Lean v4.33.1)

number-theoryopenai-pi-exponent-017

Fix admissible fixed determinant data ddd and an integer multiplicity vector e:{0,…,m}→N>0e : \{0,\dots,m\}\to\mathbb{N}_{>0}e:{0,…,m}→N>0​. Assume that all row weights wiw_iwi​ of the strict weighted simplex are commensurable with the rational scale R>0R>0R>0: for every iii one has R=ei wiR = e_i\,w_iR=ei​wi​. Then, for every natural number nnn, the complex dimension of the polynomial ring C[x0,…,xm]\mathbb{C}[x_0,\dots,x_m]C[x0​,…,xm​] modulo the nnn-th power of the product of the logarithmic center ideals equals the number of interpolation rows at height nRnRnR, i.e. the number of pairs consisting of a center index jjj and an exponent vector in the strict weighted simplex of height nRnRnR.

This Hilbert-function/colength count is the residual dimension identity behind the converse direction of the interpolation packet theory: packet vanishing identifies the ideal power with a subspace of the packet kernel, and this count shows that the two finite-dimensional spaces have equal dimension, so that the packet map on the quotient is an isomorphism.

Preamble
import Definitions.Def_OAI_PiExponent_TruncatedPolynomialJets
import Mathlib.LinearAlgebra.FiniteDimensional.Defs
import Mathlib.RingTheory.Ideal.Quotient.Operations

open scoped BigOperators
open OAI.PiExponent OAI.PiExponent.DeterminantContradiction OAI.PiExponent.FormalInterpolation
Formal statement
theorem OAI.PiExponent.FormalInterpolation.fixedData_packet_conditions_eq_colength
    (nu : Real) (d : FixedData nu)
    (R : Rat) (T : Fin d.m → Nat) (e : Fin (d.m + 1) → Nat)
    (hR : 0 < R) (he : ∀ i, 0 < e i)
    (hT : ∀ i, InterpolationMatrix.rowWeights d.v0 d.base.theta
      (MatrixArithmetic.logWeights (finiteDenominators d)) i.succ ≤
      (T i : Real) * InterpolationMatrix.rowWeights d.v0 d.base.theta
        (MatrixArithmetic.logWeights (finiteDenominators d)) 0)
    (hscale : ∀ i, (R : Real) = (e i : Real) *
      InterpolationMatrix.rowWeights d.v0 d.base.theta
        (MatrixArithmetic.logWeights (finiteDenominators d)) i) :
    ∀ n : Nat,
      Module.finrank Complex
        (MvPolynomial (Fin (d.m + 1)) Complex ⧸
          (logarithmicCentersIdeal
            (fun j : Fin d.K => fun i => (j.val : Complex) *
              MatrixArithmetic.rationalCenters (finiteNumerators d)
                (finiteDenominators d) i)
            T e) ^ n) =
        Fintype.card (InterpolationMatrix.Row d.K d.v0 d.base.theta
          (MatrixArithmetic.logWeights (finiteDenominators d))
          ((n : Real) * (R : Real))) := by sorry
Source
Residual dimension identity isolated in the reduction of OAI.PiExponent.FormalInterpolation.equal_truncated_packets_implies_ideal_power (OpenAI/math adc7f124, interpolation-packet pillar).

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