Deterministic parametrix: renormalized kernels and constants #
Paper: D-Kdet — (3.1)–(3.2) — deterministic profile kernels
Definition layer for the deterministic side of the parametrix
expansion of Deng–Shen (arXiv:2607.10105): blueprint nodes D-Kdet
(the closed-form renormalized integrand, paper (3.6)), D-RI closed
form (the kernels detRIfull/detRIprofile and the J kernels,
paper (3.12)) and D-C2q (the renormalization constants,
paper (3.10)–(3.11)). All paper indices 1..m are shifted down by one
(0-based Fin indices); the external points x = x_0, y = x_{m+1}
occupy the two extra slots of assemble.
Junk-totalization (DESIGN §5.7) #
Every analytic definition below is total:
The periodized mollified covariance η_ε on the torus:
η_ε(x) = ε⁻⁴ η(x/ε) with η = ρ ⋆ ρ (SmoothCutoff.eta), periodized
over the lattice 2πℤ⁴ through the canonical lift. The tsum is
junk-totalized: it is 0 if the family is not summable; genuine cutoffs give
a finite sum.
Equations
- ρ.etaEpsT4 ε z = ∑' (k : Anderson4D.Z4), ε⁻¹ ^ Anderson4D.dim * ρ.eta fun (i : Fin Anderson4D.dim) => ε⁻¹ * (Anderson4D.torusLift z i + 2 * Real.pi * ↑(k i))
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Assemble the external points x, y and the m integration
variables v into the full (m+2)-tuple (x, v_0, …, v_{m-1}, y):
slot 0 is x, slot m+1 is y, slot j (for 1 ≤ j ≤ m) is
v (j-1).
Equations
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The renormalized integrand (paper (3.6), node D-Kdet) #
Difference factor of the closed form (3.6) attached to an extracted
pair p = (l, r) (0-based):
G(x_{r+1} - x_{r+2}) - G(x_{l+1} - x_{r+2}) in assembled-slot indices
(varIdx shifts by one; the slot r+2 is always in range since
r < m). No junk branch is needed here.
Equations
- Anderson4D.diffFactor xt p = Anderson4D.greenFn (xt (Anderson4D.varIdx p.2) - xt ⟨↑p.2 + 2, ⋯⟩) - Anderson4D.greenFn (xt (Anderson4D.varIdx p.1) - xt ⟨↑p.2 + 2, ⋯⟩)
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Closed form of the renormalized integrand (paper (3.6), 0-based;
node D-Kdet), evaluated on the assembled tuple
xt = (x, v_0, …, v_{m-1}, y) : Fin (m+2) → T4:
- chain part: over each edge
e : Fin (m+1)the factorG(xt e - xt (e+1)), excluded (replaced by1) precisely whene = r + 1for some extracted pair(l, r) ∈ extract κ— the paper replaces that chain factor by the difference factor; - difference part: the product of
diffFactoroverextract κ; - covariance part:
η_ε(xt (i+1) - xt (κ i + 1))over the pairs ofκ(each pair counted once via its smaller endpoint).
Total by construction (greenFn, etaEpsT4 are junk-totalized).
Equations
- One or more equations did not get rendered due to their size.
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The renormalized kernels (node D-RI closed form) #
Fully integrated renormalized kernel (R^I λ_ε ξ_ε)-type value
(paper (3.6) with all m internal variables integrated against
paperMeasure^{⊗m}): the deterministic value of the order-m term for
fully paired κ, and the total-integral form of the profile. The
Bochner integral is junk-totalized (0 off integrability).
Equations
- One or more equations did not get rendered due to their size.
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Profile kernel with singles free (feeds the random layer): only
the paired variables (indices in κ.pairSupport) are integrated; the
single-index values are supplied by z (only the values of z on the
singles of κ matter). Junk-totalized Bochner integral.
Equations
- One or more equations did not get rendered due to their size.
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The J kernels (paper (3.12), node D-C2q input) #
Difference factor of the J closed form (3.12) attached to an
extracted pair p = (l, r) of a pairing of the full tuple (no external
slots): G(xtJ r - xtJ (r+1)) - G(xtJ l - xtJ (r+1)). Junk branch: if
r + 1 overflows (r is the last index — never the case on the good
combinatorial class), the factor is 1.
Equations
- Anderson4D.diffFactorJ xtJ p = if h : ↑p.2 + 1 < n then Anderson4D.greenFn (xtJ p.2 - xtJ ⟨↑p.2 + 1, h⟩) - Anderson4D.greenFn (xtJ p.1 - xtJ ⟨↑p.2 + 1, h⟩) else 1
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Closed form of the J integrand (paper (3.12), 0-based): the
tuple xtJ : Fin (2q) → T4 is the paper tuple (x_1, …, x_{2q}).
Chain factors G(xtJ e - xtJ (e+1)) over e : Fin (2q-1), excluded
(replaced by 1) precisely when e = r for some (l, r) ∈ extract σ
(paper: the chain factor with left paper-index r_i is replaced by the
difference factor); then the diffFactorJ product and the covariance
product over the pairs of σ. The chain indexing is guarded by a
dite (junk factor 1) so that the formula is total also at q = 0;
the guard e.val + 1 < 2q always holds for e : Fin (2q - 1).
Equations
- One or more equations did not get rendered due to their size.
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The kernel J_{2q,σ} (paper (3.12)): first and last of the 2q
variables fixed at z and w, the internal 2q - 2 integrated against
paperMeasure^{⊗(2q-2)}; the assembled tuple assemble z w v (of
length (2q-2)+2 = 2q) is reindexed to Fin (2q) by Fin.cast.
Junk value 0 at q = 0 (the paper only uses q ≥ 1); the Bochner
integral is junk-totalized.
Equations
- One or more equations did not get rendered due to their size.
- Anderson4D.detJ ρ lam ε 0 x_4 x✝¹ x✝ = 0
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The non-concatenation class of paper §3.2: σ is full and no
proper prefix {i : Fin (2q) | i ≤ p} (with p + 1 < 2q) is fully
paired — equivalently (given fullness) σ does not split into two
pairings of complementary prefixes. Stated with the bounded existential
over p ∈ Finset.range (2q) (no loss: p + 1 < 2q forces
p < 2q), which makes the predicate decidable.
Equations
- Anderson4D.IsNonSplit σ = (σ.IsFull ∧ ¬∃ p ∈ Finset.range (2 * q), p + 1 < 2 * q ∧ Anderson4D.IsFullyPairedOn σ {i : Fin (2 * q) | ↑i ≤ p})
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Equations
- Anderson4D.instDecidableIsNonSplit σ = decidable_of_iff (σ.IsFull ∧ ¬∃ p ∈ Finset.range (2 * q), p + 1 < 2 * q ∧ Anderson4D.IsFullyPairedOn σ {i : Fin (2 * q) | ↑i ≤ p}) ⋯
The renormalization constants (paper (3.10)–(3.11), node D-C2q) #
The order-2q renormalization constant (paper (3.10)): the sum
over the non-concatenation class of full pairings σ of Fin (2q) of
the total integral of J_{2q,σ}(z, 0) in z (translation invariance
makes fixing the second argument at 0 harmless — an M-layer lemma,
not part of this definition). Junk-totalized integral.
Equations
- Anderson4D.renormC2q ρ lam ε q = ∑ σ : Anderson4D.PartialPairing (Fin (2 * q)) with Anderson4D.IsNonSplit σ, ∫ (z : Anderson4D.T4), Anderson4D.detJ ρ lam ε q σ z 0 ∂Anderson4D.paperMeasure
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The renormalization constant C_ε (paper (3.11)): the sum of
renormC2q over 1 ≤ q ≤ A = truncOrder ε = ⌊|log ε|⌋.
Equations
- Anderson4D.renormCEps ρ lam ε = ∑ q ∈ Finset.Icc 1 (Anderson4D.truncOrder ε), Anderson4D.renormC2q ρ lam ε q
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Sanity: the m = 0 kernel is the free Green's function #
Sanity check on the closed form: at order m = 0 there are no
integration variables and no pairs (extract κ = []), the chain is the
single edge x → y, and the empty product measure is the Dirac
probability measure, so detRIfull collapses to G(x - y).