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Gaussian short-distance comparison · Part 2

Shadow Theory and the Wilson Yang–Mills Construction: A Source–Readout Reconstruction

This is an integrable common bound in the finite-dimensional configuration space. The transported
step function is literally the same function, so dominated convergence commutes with its readout.
For the actual rounding cell Cm,o the constant reading and its volume give the exact finite
identity
Z
Source page 416.
Searchable transcription
This is an integrable common bound in the finite-dimensional configuration space. The transported
step function is literally the same function, so dominated convergence commutes with its readout.
For the actual rounding cell Cm,o the constant reading and its volume give the exact finite
identity
Z
Cm,o
ψ(ρmx)KZ
m(ρmx) dx = h4n
m ψ(hmo)Km(o).
Source page 416.
Searchable transcription
Cm,o
ψ(ρmx)KZ
m(ρmx) dx = h4n
m ψ(hmo)Km(o).

Summing the cells intersecting the fixed support recovers PT16 with its full 4n-dimensional normalization. Eventual nonwrapping uses the unchanged hmNm →∞. In arity zero this identity is the one-point integral with weight one. Through the same field-address identity the reduced order-zero polynomials represent the fixed free labels, so this profile recovery gives PT14 once the corrected covariance and moving Wick-row limit below are supplied. Those remaining dependencies are retained rather than replaced by an independent choice of continuum profile data.

Reduce the row limit to covariances by indexing every occurrence of every generator separately. Write τ(a) for its insertion slot and ζa for its generator label. The order-zero Gaussian product moment on a finite occurrence set A satisfies integration by parts:

|A|Mm(A) =
X
X
b∈A\{a}
Cm(a, b)Mm(A \ {a, b}).
(PT17)
a∈A
Source page 416.
Searchable transcription
|A|Mm(A) =
X
X
b∈A\{a}
Cm(a, b)Mm(A \ {a, b}).
(PT17)
a∈A

The empty moment is one by probability normalization. Continuum Wick moments obey the same recursion with C0. Induction on |A|, the covariance limit and finite summation prove convergence after division by the positive integer |A|. Distinguishable occurrences preserve multiplicities of repeated generators. Finite polynomial expansion then proves the limit for all allowed sections; the field-address identity makes the limit exactly their free Wick moments, without a new fit. Applying this along every refining subsequence gives PT16’s moving-limit hypothesis. The corrected covariance limit, including its finite-regulator subtraction, is supplied next. For A = ∅, Mm(A) = 1 because the Gaussian law is a probability measure. The lifted row source retains occurrence indices, reduced polynomial addresses, grid cells and their actual volume. Its Gaussian recursion reader preserves multiplicities and normalized empty moments; its profile reader is PT16. Joint moving convergence supplies the common bound needed by the integral reader, recovering PT14 without a pointwise-only convergence substitution.

22.6 Private Gaussian marks and corrected bilinear covariance

Fix the maximal jet grade d in the row and its finite coordinate keys a.
The regulated real
potential Z has precision P and covariance P −1; its symmetrically averaged linear jet coordinate at
x is kT
h,x,aZ, using the perturbative integral’s same density. For sine/cosine waves, axes and color
labels c, define the infinite lattice subtraction matrix by their responses lh,a,c(p):
Source page 416.
Searchable transcription
Fix the maximal jet grade d in the row and its finite coordinate keys a.
The regulated real
potential Z has precision P and covariance P −1; its symmetrically averaged linear jet coordinate at
x is kT
h,x,aZ, using the perturbative integral’s same density. For sine/cosine waves, axes and color
labels c, define the infinite lattice subtraction matrix by their responses lh,a,c(p):
Sh(a, b) = (2π)−4
Z
[−π,π]4 δ(p)−1 X
c
lh,a,c(p)lh,b,c(p) dp.
(PT18)
Source page 416.
Searchable transcription
Sh(a, b) = (2π)−4
Z
[−π,π]4 δ(p)−1 X
c
lh,a,c(p)lh,b,c(p) dp.
(PT18)

Responses are bounded by continuity on the cube and δ−1 is integrable in four dimensions. Entries exist, symmetry holds, and

X
!2
dp ≥0.
vT Shv = (2π)−4
Z
δ(p)−1 X
a
valh,a,c(p)
c
Source page 416.
Searchable transcription
X
!2
dp ≥0.
vT Shv = (2π)−4
Z
δ(p)−1 X
a
valh,a,c(p)
c
Thus Sh is the covariance of a possibly degenerate real centered Gaussian vector, requiring no inverse.
Give each insertion i an independent such vector Yi, independent of Z, and set Xi,a = kT
h,xi,aZ+iYi,a.
Source page 416.
Searchable transcription
Thus Sh is the covariance of a possibly degenerate real centered Gaussian vector, requiring no inverse.
Give each insertion i an independent such vector Yi, independent of Z, and set Xi,a = kT
h,xi,aZ+iYi,a.
Their bilinear covariance is
Source page 417.
Searchable transcription
Their bilinear covariance is
Ch((i, a), (j, b)) = kT
h,xi,aP −1kh,xj,b −1i=jSh(a, b).
(PT19)
Source page 417.
Searchable transcription
Ch((i, a), (j, b)) = kT
h,xi,aP −1kh,xj,b −1i=jSh(a, b).
(PT19)

Mixed terms vanish by independence/centering; private marks are independent across insertions and their imaginary coefficients give the minus sign within one insertion. No conjugation occurs. Same-slot entries need not vanish at finite regulator. The normalized perturbative constant term is exactly the product of reduced insertion polynomials evaluated at these X and then averaged. Weight and vacuum denominator have constant coefficient one. Each linear insertion’s constant term is its physical coordinate plus imaginary private mark; finite polynomial expansion commutes with constant extraction. Private integration gives the prescribed within-insertion subtraction; independence combines it with physical integration. Polynomial Gaussian integrability, from C(1+ ∥z∥)q and finite Gaussian moments, justifies expansion and Fubini. For a real centered linear Gaussian probe of variance v, its moment generating function exp(vt2/2) gives ELr+1 = rvELr−1. Apply to arbitrary real linear combinations and compare coefficients to obtain by polarization

|A|E
Y
α∈A
Xα =
X
X
β∈A\{α}
E(XαXβ)E
Y
γ∈A\{α,β}
Xγ.
(PT20)
α∈A
Source page 417.
Searchable transcription
|A|E
Y
α∈A
Xα =
X
X
β∈A\{α}
E(XαXβ)E
Y
γ∈A\{α,β}
Xγ.
(PT20)
α∈A

Complex multilinear expansion extends this from real probes, including degenerate laws. Repeated generators retain distinct occurrences; the empty product is one. This is precisely PT17’s finite recursion.

Private-mark source and exact polynomial recovery. The source retains the real potential law and a separately named private mark for each insertion. A concrete realization of a possibly degenerate mark is Yi = S1/2 h ηi, with independent standard real Gaussian vectors ηi, independent also of Z. Its pushforward covariance is exactly Sh; the positive square root requires no inverse. On the resulting product Gaussian source define the complex linear readout

Xi,a(Z, η1, . . . , ηn) = kT
h,xi,aZ + i(S1/2
h
ηi)a.
Source page 417.
Searchable transcription
Xi,a(Z, η1, . . . , ηn) = kT
h,xi,aZ + i(S1/2
h
ηi)a.
Private coordinates are indexed by insertion, not by distinct physical position or by generator name.
Thus repeated occurrences in one slot share its mark, while different slots retain independent marks.
The same readout on the horizontal potential copy uses the transported Gaussian law and coefficient
maps, giving precisely the original Xi,a. Its bilinear second moment is PT19, with i2 = −1 and no
conjugation. This preserves finite-regulator same-slot terms rather than setting them to zero.
For an insertion polynomial Qi and a fixed physical coordinate vector zi = (kT
h,xi,aZ)a, the
private integral has the exact finite polynomial form
Source page 417.
Searchable transcription
Private coordinates are indexed by insertion, not by distinct physical position or by generator name.
Thus repeated occurrences in one slot share its mark, while different slots retain independent marks.
The same readout on the horizontal potential copy uses the transported Gaussian law and coefficient
maps, giving precisely the original Xi,a. Its bilinear second moment is PT19, with i2 = −1 and no
conjugation. This preserves finite-regulator same-slot terms rather than setting them to zero.
For an insertion polynomial Qi and a fixed physical coordinate vector zi = (kT
h,xi,aZ)a, the
private integral has the exact finite polynomial form




−1
X
exp
Qi
(zi).
EYiQi(zi + iYi) =
a,b
Sh(a, b)∂a∂b
2
Source page 417.
Searchable transcription




−1
X
exp
Qi
(zi).
EYiQi(zi + iYi) =
a,b
Sh(a, b)∂a∂b
2

The exponential terminates on each polynomial. This follows by finite Taylor expansion and Gaussian moments, or by comparing polynomial coefficients of the Gaussian generating function. Independence of the marks gives, conditional on the same physical Z,

EY1,...,Yn
Y
i
Qi(zi + iYi) =
Y
i
EYiQi(zi + iYi).
Source page 417.
Searchable transcription
EY1,...,Yn
Y
i
Qi(zi + iYi) =
Y
i
EYiQi(zi + iYi).

Integrating the physical law recovers exactly the normalized perturbative constant term. The weight and vacuum constant terms are one, so no additional denominator appears at this order.

Polynomial integrability justifies each finite expansion and this product-law integration, even for a
degenerate mark law.
For occurrence indices α ∈A, set G(t) = E exp(P
α∈A tαXα). Its Gaussian coefficient identity
is


Source page 418.
Searchable transcription
Polynomial integrability justifies each finite expansion and this product-law integration, even for a
degenerate mark law.
For occurrence indices α ∈A, set G(t) = E exp(P
α∈A tαXα). Its Gaussian coefficient identity
is


X
1
.
G(t) = exp
α,β∈A
tαCh(α, β)tβ
2
Source page 418.
Searchable transcription
X
1
.
G(t) = exp
α,β∈A
tαCh(α, β)tβ
2
The identity ∂tαG = P
Only its finite derivatives at zero are used.
β Ch(α, β)tβG, followed by
extraction of the multilinear coefficient and summation over α, recovers PT20 and its factor |A|.
Distinct occurrence variables preserve all repeated-generator multiplicities. The empty moment
remains one. Induction over |A| then transports PT17 exactly and, once the corrected covariance
limit is supplied, recovers every finite polynomial moving-row limit with the original field addresses.
Searchable transcription
The identity ∂tαG = P
Only its finite derivatives at zero are used.
β Ch(α, β)tβG, followed by
extraction of the multilinear coefficient and summation over α, recovers PT20 and its factor |A|.
Distinct occurrence variables preserve all repeated-generator multiplicities. The empty moment
remains one. Induction over |A| then transports PT17 exactly and, once the corrected covariance
limit is supplied, recovers every finite polynomial moving-row limit with the original field addresses.

The corrected covariance limit has two roles: for distinct limiting positions zi, zj it tends to the Maxwell kernel K(ka, kb; zi −zj) on the corresponding free solution-jet functionals; for the same slot it tends to zero: Ch((i, a), (i, b)) −→0. (PT21)

This vanishing follows after regulator removal. For the finite signed coordinate group S, cS = |S|−1, the averaging identity beginning its proof is

A(wideLinearh,x) = cS
X
s∈S
A ◦turns ◦radialMap(charts,h,x).
(PT22)
Source page 418.
Searchable transcription
A(wideLinearh,x) = cS
X
s∈S
A ◦turns ◦radialMap(charts,h,x).
(PT22)

Write As for the inner functional. The next sampling/reconstruction identity identifies its free limit. The lifted Gaussian source retains Z and the separate private Yi, with the same finite density and explicit subtraction matrix. The polynomial reader is expectation after X = kT Z+iY ; PT19 proves compatibility with the prescribed subtraction. Keeping bilinear rather than Hermitian covariance recovers the sign and same-slot remainder exactly. PT20 supplies the finite occurrence reader without a covariance inverse, so degeneracy introduces no lost branch. The limit reader retains both the cross-slot kernel and the corrected diagonal tending to zero rather than imposing Wick subtraction prematurely.

22.7 Averaged reconstruction and corrected covariance limits

Radial reconstruction inverts sampling on free solution jets, so

plains(As) = A ◦gaugeJet .
Source page 418.
Searchable transcription
plains(As) = A ◦gaugeJet .
Independently transformed stencils with inverse turns therefore give the same free two-point form
for all s, t, with fixed relative endpoints. The finite covariance is c2
S
P
s,t ordinarys,t(h; x, y; As, Bt).
Expanding both wave factors in PT18 gives the same finite double average of infinite-lattice shell
forms; integrability justifies interchange with the integral. The separated chart limit gives the same
free pairing for each summand. At equal endpoints the return chart limit makes each ordinary form
minus its shell form tend to zero. Finite averaging proves both PT21 and the separated limit. The
reporting schedule is
Source page 418.
Searchable transcription
Independently transformed stencils with inverse turns therefore give the same free two-point form
for all s, t, with fixed relative endpoints. The finite covariance is c2
S
P
s,t ordinarys,t(h; x, y; As, Bt).
Expanding both wave factors in PT18 gives the same finite double average of infinite-lattice shell
forms; integrability justifies interchange with the integral. The separated chart limit gives the same
free pairing for each summand. At equal endpoints the return chart limit makes each ordinary form
minus its shell form tend to zero. Finite averaging proves both PT21 and the separated limit. The
reporting schedule is
hm = L−m,
Nm = 4Lm2+m+1,
hmNm = 4Lm2+1,
L > 1 integer.
(PT23)
Source page 418.
Searchable transcription
hm = L−m,
Nm = 4Lm2+m+1,
hmNm = 4Lm2+1,
L > 1 integer.
(PT23)
Thus Nmhq
m →∞for every fixed integer q, and 4 | Nm. Center positions at the quarter-period
point. Convergent centered physical coordinates eventually have integer coordinates smaller than
Source page 418.
Searchable transcription
Thus Nmhq
m →∞for every fixed integer q, and 4 | Nm. Center positions at the quarter-period
point. Convergent centered physical coordinates eventually have integer coordinates smaller than

Nm/4, so fixed stencil shifts of differences do not wrap and have the required physical limit. Sums of positions are twice the quarter center plus bounded physical displacement; their lifts have a coordinate at least Nm/4 in absolute value. Their physical distance tends to infinity, including at coincident observed positions, supplying the inversion-image return condition. PT20 induction now gives moments with zero within-insertion pairings and Maxwell cross-insertion pairings, exactly the reduced free Wick rule. Finite polynomial expansion and PT15–PT16 give every moving row and profile limit. This completes the Gaussian constant-coefficient step needed in the leading perturbative comparison.

An elementary stencil is a finite signed shifted-edge sum, with axis, offsets and ordered deriva-
tive list Da. Its two-point form consequently has four terms, with signs +, −, −, +. Its Fourier
polynomial factors into sign, translation character and difference multipliers. Multiplication gives
the exact identity
X
Y
atbsχp(z + ut ± vs) = σa,b,±χp(z + ua,± + ub,±)
qν(p).
(PT24)
t,s
ν∈DaDb
Searchable transcription
An elementary stencil is a finite signed shifted-edge sum, with axis, offsets and ordered deriva-
tive list Da. Its two-point form consequently has four terms, with signs +, −, −, +. Its Fourier
polynomial factors into sign, translation character and difference multipliers. Multiplication gives
the exact identity
X
Y
atbsχp(z + ut ± vs) = σa,b,±χp(z + ua,± + ub,±)
qν(p).
(PT24)
t,s
ν∈DaDb

Multiplying by the inverse-Laplacian weight and summing identifies covariance with the differentiated scalar torus kernel, including the same sign and factor h−|Da|−|Db|−2. On the infinite cover, sum sine/cosine channels using cos u cos v+sin u sin v = cos(u−v). Unequal axes or colors give zero; matching ones give the offset-difference cosine. Integration against (2π)−4δ−1 is the cover scalar Green function, justified by | cos | ≤1 and integrability. Curvature coordinates are differences of two stencils, giving the same four signs +, −, −, + in torus covariance and cover subtraction. PT24 reduces separated terms to scalar differentiated limits and inversion-image terms to the zero far-distance limit. At coincidence subtract the cover value before rescaling: the return estimate vanishes after any fixed inverse power of h by PT23. Finite array coordinate functionals span each raw jet-response dual; bilinear expansion therefore extends these elementary limits to arbitrary chart functionals in PT22; the responses are arrays of color components, vector-index pairs and derivative-index words, so coordinate projections span the dual of each finite array space. The lifted stencil source retains the exact Fourier factors, turns, relative endpoints and common torus/cover subtraction. Its finite average reader recovers the free solution-jet functional, and PT24 transports covariance to scalar kernel readers without replacing any stencil by its limit. The quarter-period placement and PT23 preserve the far-image and return hypotheses needed for the corrected diagonal.

Finite averaged-covariance recovery. Record the actual signed group and every ordered pair (s, t) in its double average. Denote the corresponding torus and infinite-cover forms by Oh;s,t and Hh;s,t. The exact same-slot identity is

Ch((i, a), (i, b)) = |S|−2 X
s,t∈S
(Oh;s,t −Hh;s,t).
Source page 419.
Searchable transcription
Ch((i, a), (i, b)) = |S|−2 X
s,t∈S
(Oh;s,t −Hh;s,t).

Horizontal transport of each stencil functional, sampling map, turn and radial reconstruction leaves these scalar forms unchanged. On free solution jets the equality plains(As) = A◦gaugeJet recovers the same output for each signed record. In particular

|Ch((i, a), (i, b))| ≤max
s,t |Oh;s,t −Hh;s,t| −→0.
Source page 419.
Searchable transcription
|Ch((i, a), (i, b))| ≤max
s,t |Oh;s,t −Hh;s,t| −→0.
The subtraction is inside each summand before this limit. For separated slots no private subtraction
occurs; if K is their common free pairing, the corresponding estimate is

|S|−2 X
s,t
Oh;s,t −K

≤max
s,t |Oh;s,t −K| −→0.
Source page 419.
Searchable transcription
The subtraction is inside each summand before this limit. For separated slots no private subtraction
occurs; if K is their common free pairing, the corresponding estimate is

|S|−2 X
s,t
Oh;s,t −K

≤max
s,t |Oh;s,t −K| −→0.

Finite group size makes these implications exact and preserves the independent transformations of both stencils. The subsequent scalar return, separated and far-image estimates supply these entrywise limits with their stated rescalings. The schedule is retained literally. Its explicit growth is

Nmhq
m = 4Lm2+(1−q)m+1 −→∞
for every fixed integer q.
Source page 420.
Searchable transcription
Nmhq
m = 4Lm2+(1−q)m+1 −→∞
for every fixed integer q.
For a bounded physical displacement and any fixed finite stencil offset, their ratio to hmNm tends
to zero. Hence differences have the stated nonwrapping lifts; a sum at twice the quarter-period
center has lifted distance at least hmNm/4 eventually, after allowing the bounded displacement
and offsets. The same geometry holds when the observed endpoints coincide. No observation point,
stencil shift or period is reselected in the horizontal lift.
For explicit scalar-stencil recovery set Pa(p) = P
t atχp(ut).
Then the left side of PT24 is
χp(z)Pa(p)Pb(±p). Multiplication of the actual finite factorizations of Pa, Pb gives exactly its sign,
offset and ordered difference factors. The horizontal reader retains these coefficients, so both the
Fourier sum and the infinite-cover integral have their original normalization and h−|Da|−|Db|−2
Source page 420.
Searchable transcription
For a bounded physical displacement and any fixed finite stencil offset, their ratio to hmNm tends
to zero. Hence differences have the stated nonwrapping lifts; a sum at twice the quarter-period
center has lifted distance at least hmNm/4 eventually, after allowing the bounded displacement
and offsets. The same geometry holds when the observed endpoints coincide. No observation point,
stencil shift or period is reselected in the horizontal lift.
For explicit scalar-stencil recovery set Pa(p) = P
t atχp(ut).
Then the left side of PT24 is
χp(z)Pa(p)Pb(±p). Multiplication of the actual finite factorizations of Pa, Pb gives exactly its sign,
offset and ordered difference factors. The horizontal reader retains these coefficients, so both the
Fourier sum and the infinite-cover integral have their original normalization and h−|Da|−|Db|−2

price. If La = La,1 −La,2 and Lb = Lb,1 −Lb,2 are curvature readings, their bilinear covariance, and separately its cover term, is exactly

B(La, Lb) = B(La,1, Lb,1) −B(La,1, Lb,2) −B(La,2, Lb,1) + B(La,2, Lb,2).
Source page 420.
Searchable transcription
B(La, Lb) = B(La,1, Lb,1) −B(La,1, Lb,2) −B(La,2, Lb,1) + B(La,2, Lb,2).

Thus the common four-term subtraction is recovered before scaling. Finite coordinate expansions then recover arbitrary chart functionals. The occurrence recursion uses these very covariance entries, so its limit retains zero within-insertion pairings and the specified Maxwell cross-insertion pairings. This closes the moving-row/profile recovery conditional on precisely the scalar estimates developed next.

22.8 Scalar return with every fixed jet rescaling

On Q = [−1/2, 1/2]4 put d(x) = δ(2πx) and fa(x) = d(x)−1 cos(2πa · x) for fixed integer displacement a, assigning fa(0) = 0 as in the inverse-Laplacian zero-mode convention. The integral is unaffected and the symbol bound gives |fa(x)| ≤∥x∥−2. Outside null cell boundaries, quadrature representatives obey vN(x) ∈Q, ∥vN(x) −x∥≤4/N and ∥vN(x)∥≥1/N when nonzero. Thus ∥x∥≤5∥vN(x)∥and |fa(vN(x))−fa(x)| ≤26∥x∥−2, including the zero cell. For 0 < r ≤1, 8/N ≤r and ∥x∥> r, the representative norm is at least r/2. Bounded derivatives of cosine and symbol give |fa(y) −fa(x)| ≤Car−4∥y −x∥ (∥x∥, ∥y∥≥r),

by the exact quotient subtraction
Source page 420.
Searchable transcription
by the exact quotient subtraction
(cosa(y) −cosa(x))d(y)−1 + (d(x) −d(y))d(y)−1d(x)−1 cosa(x).
Source page 420.
Searchable transcription
(cosa(y) −cosa(x))d(y)−1 + (d(x) −d(y))d(y)−1d(x)−1 cosa(x).
Using r/2 gives the outer error AaN−1r−4. The inner singularity is integrable in four dimensions,
with
Z
∥x∥<2r
∥x∥−2dx = r2
Z
∥u∥<2
∥u∥−2du.
Source page 420.
Searchable transcription
Using r/2 gives the outer error AaN−1r−4. The inner singularity is integrable in four dimensions,
with
Z
∥x∥<2r
∥x∥−2dx = r2
Z
∥u∥<2
∥u∥−2du.
Split the error at r to obtain
Source page 420.
Searchable transcription
Split the error at r to obtain
| Re GN(a) −G∞(a)| ≤Car2 + AaN−1r−4.
(PT25)
Source page 420.
Searchable transcription
| Re GN(a) −G∞(a)| ≤Car2 + AaN−1r−4.
(PT25)
The torus sum is exactly
R
Q fa(vN(x))dx since cells have volume N−4, and the cover integral is
R
Q fa by p = 2πx. Even N makes symmetric representatives tile this cube. For fixed integer d ≥0
choose r = hd+1; PT23 eventually ensures r ≤1, 8/N ≤r. Then
Source page 421.
Searchable transcription
The torus sum is exactly
R
Q fa(vN(x))dx since cells have volume N−4, and the cover integral is
R
Q fa by p = 2πx. Even N makes symmetric representatives tile this cube. For fixed integer d ≥0
choose r = hd+1; PT23 eventually ensures r ≤1, 8/N ≤r. Then
h−d| Re GN(a) −G∞(a)| ≤Cahd+2 + Aa(Nh5d+4)−1 −→0.
(PT26)
Source page 421.
Searchable transcription
h−d| Re GN(a) −G∞(a)| ≤Cahd+2 + Aa(Nh5d+4)−1 −→0.
(PT26)

This retains every fixed inverse mesh power needed by a finite jet. The lifted return source keeps the zero-mode convention, representative cells, exact quadrature normalization and the singular/regular split. Its scalar reader is the difference of torus and cover values before rescaling; PT25 transports that difference with an explicit bound and PT26 recovers its vanishing at the jet reader’s actual scale.

Quadrature subtraction and fixed-power recovery. The scalar return source retains the actual representative cells CN,u, zero-mode value and fixed integer displacement a. Its two scalar readers and their exact discrepancy are

RN(a) = N−4 X
u
fa(u) =
Z
Q
fa(vN(x)) dx,
R∞(a) =
Z
Q
fa(x) dx,
EN(a) =
Z
Q
[fa(vN(x)) −fa(x)] dx.
Source page 421.
Searchable transcription
RN(a) = N−4 X
u
fa(u) =
Z
Q
fa(vN(x)) dx,
R∞(a) =
Z
Q
fa(x) dx,
EN(a) =
Z
Q
[fa(vN(x)) −fa(x)] dx.

Thus EN(a) = Re GN(a) −G∞(a) before multiplication by any inverse mesh power. The normalization (2π)−4dp = dx under p = 2πx and cell volume N−4 are retained entries of these readers. Pulling the source record to its horizontal section changes neither reader nor their difference.

For a nonzero representative the inequalities ∥x∥≤∥vN(x)∥+ 4/N ≤5∥vN(x)∥give the integrable bound 26∥x∥−2 for the discrepancy; in the zero cell fa(vN(x)) = 0 gives the same bound directly. All these statements are up to the stated null boundaries and zero point. Splitting at r gives explicitly

|EN(a)| ≤26
Z
Q∩{∥x∥≤r}
∥x∥−2 dx + AaN−1r−4 vol(Q).
Source page 421.
Searchable transcription
|EN(a)| ≤26
Z
Q∩{∥x∥≤r}
∥x∥−2 dx + AaN−1r−4 vol(Q).

The first term is at most a fixed constant times r2 in dimension four and vol(Q) = 1. This recovers PT25 using the combined subtraction rather than separate singular estimates after rescaling. For fixed d ≥0 the retained choice r = hd+1 yields exactly

h−dr2 = hd+2,
h−dN−1r−4 = (Nh5d+4)−1.
Source page 421.
Searchable transcription
h−dr2 = hd+2,
h−dN−1r−4 = (Nh5d+4)−1.
Along PT23, Nhd+1 →∞makes 8/N ≤r eventually, and Nh5d+4 →∞gives the second vanishing
term. Consequently the same reader recovers PT26 for each fixed power required by a finite jet. If
a fixed finite stencil calculation uses P
t λtEN(at) with constant coefficients and bounded rescaling
degree, the finite sum of these bounds proves its return limit with the same schedule, after taking
the maximum of finitely many thresholds. This transports the actual torus-minus-cover cancellation
used for arbitrary finite chart functionals.
Source page 421.
Searchable transcription
Along PT23, Nhd+1 →∞makes 8/N ≤r eventually, and Nh5d+4 →∞gives the second vanishing
term. Consequently the same reader recovers PT26 for each fixed power required by a finite jet. If
a fixed finite stencil calculation uses P
t λtEN(at) with constant coefficients and bounded rescaling
degree, the finite sum of these bounds proves its return limit with the same schedule, after taking
the maximum of finitely many thresholds. This transports the actual torus-minus-cover cancellation
used for arbitrary finite chart functionals.

22.9 Whole scalar kernels from annular readers

Suppose Am(2s) −Am(s) →A(2s) −A(s) for every s > 0, and with constants independent of s, eventually for each fixed s,

|Am(s)| ≤Csp,
|Fm −Am(s)| ≤B/s,
|A(s)| ≤Esp,
|F −A(s)| ≤D/s,
p ≥1.
(PT27)
Source page 421.
Searchable transcription
|Am(s)| ≤Csp,
|Fm −Am(s)| ≤B/s,
|A(s)| ≤Esp,
|F −A(s)| ≤D/s,
p ≥1.
(PT27)

Then Fm →F. Choose small s ≤1 with (C +E)sp < ε/3, then integer q with (B +D)/(2qs) < ε/3. Finite annular telescoping gives Am(2qs) −Am(s) →A(2qs) −A(s). Take m late enough for its error below ε/3. Add large-cutofftails and small-cutoffsizes to bound |Fm −F| < ε. The order is s, q, m; cutoff-uniform convergence is not assumed. For differentiated torus kernels at nonzero physical separation use p = |D| + 2. Smooth Fourier cutoffs have bound Cs|D|+2 and complement B/s away from zero. Their mesh conditions (2π/N)(|D| + 4) ≤hs, hs ≤1/2 hold eventually for fixed s by Nh →∞, h →0. Annular Riemann convergence and PT27 give the separated scalar limit. Its continuum candidate is ∂DG(z), G(z) = (4π2∥z∥2)−1. With Fourier character e2πik·z, an integrable heat regulator b > 0 gives inverse transform

∂DG(z) −∂D(G(z)e−π2∥z∥2/b),
z ̸= 0.
Source page 422.
Searchable transcription
∂DG(z) −∂D(G(z)e−π2∥z∥2/b),
z ̸= 0.
Set b = v−2; the second term is v|D|+2∂D(Ge−π2∥·∥2)(vz), tending to zero by rapid derivative decay
at infinity. For a physical displacement whose norm tends to infinity, the same comparison principle
applies with F = 0, A(s) = 0. At fixed Fourier cutoff, dominated convergence removes heat inside
the integral. Annular tail bounds persist and sum as P
j C/(2js) ≤2C/s, supplying the continuum
estimates in PT27. For diverging physical separation take F = A = 0. Summation by parts gives
Source page 422.
Searchable transcription
Set b = v−2; the second term is v|D|+2∂D(Ge−π2∥·∥2)(vz), tending to zero by rapid derivative decay
at infinity. For a physical displacement whose norm tends to infinity, the same comparison principle
applies with F = 0, A(s) = 0. At fixed Fourier cutoff, dominated convergence removes heat inside
the integral. Annular tail bounds persist and sum as P
j C/(2js) ≤2C/s, supplying the continuum
estimates in PT27. For diverging physical separation take F = A = 0. Summation by parts gives

2π
∥h lift(x)∥
|D|+3
,
| annulush,s,D(x)| ≤CD
s
Source page 422.
Searchable transcription

2π
∥h lift(x)∥
|D|+3
,
| annulush,s,D(x)| ≤CD
s

which vanishes for fixed s. Low-frequency and tail bounds remain valid once distance is at least one. PT27 proves the far-image limit.

Whole-kernel recovery from annular differences. Retain both the annular reader and its small-cutoffanchor in the source. For fixed s > 0 and finite integer q ≥0, put S = 2qs. The exact telescoping discrepancy is

q−1
X
Am(2j+1s) −Am(2js) −A(2j+1s) + A(2js)
 −→0.
Em;s,q =
j=0
Source page 422.
Searchable transcription
q−1
X
Am(2j+1s) −Am(2js) −A(2j+1s) + A(2js)
 −→0.
Em;s,q =
j=0

An empty sum at q = 0 is zero. The full recovered difference satisfies

Fm −F = [Fm −Am(S)] + Em;s,q + [Am(s) −A(s)] + [A(S) −F],
Source page 422.
Searchable transcription
Fm −F = [Fm −Am(S)] + Em;s,q + [Am(s) −A(s)] + [A(S) −F],

and therefore, eventually for the fixed cutoffs,

|Fm −F| ≤B + D
S
+ |Em;s,q| + (C + E)sp.
Source page 422.
Searchable transcription
|Fm −F| ≤B + D
S
+ |Em;s,q| + (C + E)sp.

The choice of small s, then finite q, then sufficiently large m is preserved by the lift. These identities expose the anchoring term Am(s)−A(s) which controls the additive constant left undetermined by annular differences alone. Every scalar cutoffand torus reader has its identical horizontal readout, so these finite identities and bounds recover the whole kernel, not merely its annular increments. For the separated torus application, the retained mesh inequalities are exactly

2π(|D| + 4)
Nh
≤s,
hs ≤1
2.
Source page 422.
Searchable transcription
2π(|D| + 4)
Nh
≤s,
hs ≤1
2.
For each fixed cutoffthey follow from the same reporting schedule; no cutoff-dependent change of
continuum witness is introduced. The limiting inverse transform uses the stated character conven-
tion and the actual function G(z) = (4π2∥z∥2)−1. For z ̸= 0, the heat correction retains the exact
scaling
∂D
�G(z)e−π2v2∥z∥2 = v|D|+2[∂D(Ge−π2∥·∥2)](vz).
Source page 422.
Searchable transcription
For each fixed cutoffthey follow from the same reporting schedule; no cutoff-dependent change of
continuum witness is introduced. The limiting inverse transform uses the stated character conven-
tion and the actual function G(z) = (4π2∥z∥2)−1. For z ̸= 0, the heat correction retains the exact
scaling
∂D
G(z)e−π2v2∥z∥2 = v|D|+2[∂D(Ge−π2∥·∥2)](vz).
Choose a decay power greater than |D| + 2 to recover its vanishing at each nonzero z as v →∞.
Heat removal at a fixed Fourier cutoffand the retained dyadic tail P
j≥0 C/(2js) = 2C/s supply the
continuum comparison without asserting absolute integrability of an uncut differentiated symbol.
These operations use the same scalar readouts before and after horizontal transport.
Searchable transcription
Choose a decay power greater than |D| + 2 to recover its vanishing at each nonzero z as v →∞.
Heat removal at a fixed Fourier cutoffand the retained dyadic tail P
j≥0 C/(2js) = 2C/s supply the
continuum comparison without asserting absolute integrability of an uncut differentiated symbol.
These operations use the same scalar readouts before and after horizontal transport.

For the far-image application retain F = 0 and A(s) = 0. The source’s annulus bound gives annular convergence to zero at each fixed s as physical distance diverges. The preceding exact comparison then recovers Fm →0 with the same small-cutoffand tail constants once distance is at least one. This is the far-image reader used in the quarter-period covariance construction, including the coincident-observation return geometry.

For the nonoscillatory low-frequency bound set t = hs, q = p/(hs).
The denominator is
dt(q) = P3
ν=0 q2
ν sinc(tqν/2)2. For ∥q∥≤1, 0 ≤t ≤2, the sinc bound 2/π gives dt(q) ≥(2/π)2∥q∥2.
Each normalized difference numerator is at most |qν| ≤1, so the normalized cutoffsymbol is
bounded by (π/2)2∥q∥−2 regardless of list length.
For centered integer momentum lifts in the
cube Bm, |Bm| ≤(2m + 1)4. On Bm \ B⌊m/2⌋inverse squared norm is at most 4/m2. Strong
induction gives P
p∈Bm ∥lift(p)∥−2 ≤432m2, with zero term assigned zero: the inner bound is
108m2 and outer bound (3m)4(4/m2) = 324m2, starting at m = 0. Writing η = 2π/N, T = η/t,
rescaling bounds the unit-ball inverse-square sum by 432T −4. Multiply by physical normalization
(Nh)−4s|D|−2 and use Ts = 2π/(Nh):
Searchable transcription
For the nonoscillatory low-frequency bound set t = hs, q = p/(hs).
The denominator is
dt(q) = P3
ν=0 q2
ν sinc(tqν/2)2. For ∥q∥≤1, 0 ≤t ≤2, the sinc bound 2/π gives dt(q) ≥(2/π)2∥q∥2.
Each normalized difference numerator is at most |qν| ≤1, so the normalized cutoffsymbol is
bounded by (π/2)2∥q∥−2 regardless of list length.
For centered integer momentum lifts in the
cube Bm, |Bm| ≤(2m + 1)4. On Bm \ B⌊m/2⌋inverse squared norm is at most 4/m2. Strong
induction gives P
p∈Bm ∥lift(p)∥−2 ≤432m2, with zero term assigned zero: the inner bound is
108m2 and outer bound (3m)4(4/m2) = 324m2, starting at m = 0. Writing η = 2π/N, T = η/t,
rescaling bounds the unit-ball inverse-square sum by 432T −4. Multiply by physical normalization
(Nh)−4s|D|−2 and use Ts = 2π/(Nh):
| pieceh,s,D(x)| ≤432(π/2)2
(2π)4
s|D|+2.
(PT28)
Source page 423.
Searchable transcription
| pieceh,s,D(x)| ≤432(π/2)2
(2π)4
s|D|+2.
(PT28)

This low-frequency estimate also holds at coincidence. The lifted kernel source retains annular differences together with both small-cutoffsize and large-cutofftail data. Its telescoping reader recovers the whole kernel and fixes the constant not determined by differences alone. Heat removal, the zero momentum convention and physical normalization remain attached to the same reader, preserving the separated and far-image limits used in the corrected covariance.

22.10 Discrete oscillation bounds and moving annular quadrature

Translation of a finite torus momentum sum gives exact integration by parts for every integer v:
X
Source page 423.
Searchable transcription
Translation of a finite torus momentum sum gives exact integration by parts for every integer v:
X
p
χp(x)∆v
−eνf(p) = (χeν(x) −1)v X
p
χp(x)f(p).
(PT29)
Source page 423.
Searchable transcription
p
χp(x)∆v
−eνf(p) = (χeν(x) −1)v X
p
χp(x)f(p).
(PT29)

The normalized annular symbol is smooth, supported at ∥q∥≤2, with derivatives of every fixed finite order uniformly bounded for 0 < t ≤1, by cutoffaway from zero and smooth sinc extension at t = 0. Momentum differences have normalized step T, so repeated fundamental theorem of calculus bounds order v by CD,vT v. If vT ≤1, support expands only to ∥q∥≤3, with at most 84T −4 representatives since T ≤1. Boundary crossings cause no loss: the periodic uncut symbol agrees on both lifts and the annular cutoffvanishes on both if ηv ≤1/2. For the high-frequency complement at t ≥1/2 use uniform derivatives on the rescaled Fourier box; all N4 representatives contribute but N ≤4π/T, giving the same CT v−4 bound. Thus

|χeν(x) −1|v
≤CD,vT v−4.
X
p
χp(x)f(p)
Source page 423.
Searchable transcription
|χeν(x) −1|v
≤CD,vT v−4.
X
p
χp(x)f(p)

Choose a coordinate at least half the physical norm; the centered-lift circle chord inequality gives |χeν(x) −1| ≥∥h lift(x)∥/(Nh). With v = |D| + 3, physical normalization and Ts = 2π/(Nh) give


2π
∥h lift(x)∥
v
.
(PT30)
| annulush,s,D(x)| ≤CD,v
(2π)4s
Source page 423.
Searchable transcription

2π
∥h lift(x)∥
v
.
(PT30)
| annulush,s,D(x)| ≤CD,v
(2π)4s

Source: Shadow Theory and the Wilson Yang–Mills Construction: A Source–Readout Reconstruction. Both papers belong to one Zenodo record. No external funding.