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Two-Slot Mixed Delta Collapse

Proved
FunctionalInequalities.Analysis.CoordinateTensor.two_slot_sum_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This auxiliary lemma evaluates the mixed two-slot term arising from two matrix factors.

For a coordinate tensor TTT and a real matrix MMM, the sum with two distinct slots and delta constraints equals

∑s∑u≠s⟨T,M(s)(M(u)T)⟩.\sum_s\sum_{u\ne s} \left\langle T,M^{(s)}(M^{(u)}T)\right\rangle.s∑​u=s∑​⟨T,M(s)(M(u)T)⟩.

More explicitly, the left side is the finite sum over J,KJ,KJ,K and s,us,us,u whose factors are TJTKT_JT_KTJ​TK​, the product of deltas outside sss and uuu, and (−MJuKu)(−MJsKs)(-M_{J_uK_u})(-M_{J_sK_s})(−MJu​Ku​​)(−MJs​Ks​​). This is an internal identity used in the second derivative of the energy form.

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis.CoordinateTensor. Shown in its original module context. Proof omitted.

private lemma two_slot_sum (T : (Fin r → Fin n) → ℝ) (M : Matrix (Fin n) (Fin n) ℝ) :
    (∑ J : Fin r → Fin n, ∑ K : Fin r → Fin n, T J * T K *
      (∑ s : Fin r, (∑ u ∈ Finset.univ.erase s,
        (∏ v ∈ (Finset.univ.erase s).erase u, if J v = K v then (1 : ℝ) else 0) *
          (-M (J u) (K u))) * (-M (J s) (K s)))) =
      ∑ s : Fin r, ∑ u ∈ Finset.univ.erase s, inner T (actOn M s (actOn M u T))

Module navigation

Module: Analysis/Tensor/EnergyForm.

Definition modules: Analysis/Tensor/SlotAction.

Supporting theorems: sum_mul_prod_delta_erase_erase.

Previous: slot_sum_two · Next: deriv_deriv_energyForm_line.

Source excerpt, lines 759–764 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Tensor_EnergyForm

variable {n r : ℕ}
Formal statement

 lemma FunctionalInequalities.Analysis.CoordinateTensor.two_slot_sum_readable (T : (Fin r → Fin n) → ℝ) (M : Matrix (Fin n) (Fin n) ℝ) :
    (∑ J : Fin r → Fin n, ∑ K : Fin r → Fin n, T J * T K *
      (∑ s : Fin r, (∑ u ∈ Finset.univ.erase s,
        (∏ v ∈ (Finset.univ.erase s).erase u, if J v = K v then (1 : ℝ) else 0) *
          (-M (J u) (K u))) * (-M (J s) (K s)))) =
      ∑ s : Fin r, ∑ u ∈ Finset.univ.erase s, inner T (actOn M s (actOn M u T)) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Tensor/EnergyForm.lean#L758-L847 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Tensor.EnergyForm`, declaration `_private.FunctionalInequalities.Analysis.Tensor.EnergyForm.0.FunctionalInequalities.Analysis.CoordinateTensor.two_slot_sum`; the repository is private at upload time).

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