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14 The analytic stationary graph, loop moments and the cali- brated coupling history · Part 10

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

fusion argument. This gives the forced forecast at radius φ/4, with one support-exponent unit reserved. Shrinking later to q/2 improves the moment inequalities and supplies the common forced envelope in (LCN3). The sharper individual price in (LCN9) comes from universal retirement. Its remaining beacon envelope is a finite sum, with fixed coefficients, of

gold(x),
Ni(x) gold(x),
2j(1 + z)pjNi(x) gold(x),
Source page 218.
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gold(x),
Ni(x) gold(x),
2j(1 + z)pjNi(x) gold(x),
where gold(x) = y−23/20. Every multiplier has rate zero. The fixed support exponential and turning
price preserve rate −23/20, proving the claimed rate of εj. Thus finite interpolation combines a
large-radius signed estimate and a sharper real individual estimate. For the primitive source, the
individual bound b is its regular price (FCC1) plus the beacon contribution. With x = bβi, it has
form
b = 3t Cjx−11/10 + εj(x),
εj has rate −23/20,
(LCN9)
Source page 218.
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where gold(x) = y−23/20. Every multiplier has rate zero. The fixed support exponential and turning
price preserve rate −23/20, proving the claimed rate of εj. Thus finite interpolation combines a
large-radius signed estimate and a sharper real individual estimate. For the primitive source, the
individual bound b is its regular price (FCC1) plus the beacon contribution. With x = bβi, it has
form
b = 3t Cjx−11/10 + εj(x),
εj has rate −23/20,
(LCN9)

where t > 0 is the freely chosen small primitive allowance. The three principal payments are the coefficient t + 2t. The other terms are the turning fee times the retired tail, the tail itself, and the beacon price times its fixed support exponential. The local estimates give them the stated −23/20 rate at fixed block and stage. The larger signed radius is V = fire(x)/2, where fire(x) = βF (x)1/256; the rough signed price has rate −1/4. Consequently the last term of (LCN8) has rate at most −301/256 −1/4 < −23/20. Choose t so that 6Cqt ≤v, and then the coupling-entry delay so that the two remaining terms cost at most (v/2)Cjx−11/10. Equations (LCN8)–(LCN9) give signed regular source price at most vCjx−11/10 = choresi. This is the numerator of the scalar price fi.

The Hessian reading of this source yields the scalar correction price fi by linearity and its bound θ2 i |∆| ≤Budget. Applying the regular reset price to that same signed source, including the committed coefficient bound |αN,i| ≤di+1 + s log Li, gives regular output price dbP ′ once the small allowance and delay have been chosen. The forced reset entries use their common all-configuration envelopes; the forced and attached-log fusion estimates retain one unit of support-weight reserve and yield hit price dkP ′ at radius q/2. The expenses and the forced cutoffare the paid local reset inequalities, not a consequence of the scalar reading alone. Combining these two prices through

(LCN1) proves the activity assertion in (LCN3). Thus the analytic recovery uses a signed estimate
obtained by a finite interpolation cancellation, with the exact exponent 301, rather than assuming
analyticity of arbitrarily selected primitive witnesses. In fact the output values are independent of
such incidental choices. To compare two representatives with identical coupling and activity data,
use the same constant affine input line but select the first representative at t = 0 and the second
at t ̸= 0. The bounds (LCN3) still hold. For q ≥4, the signed measure δt −δ0 has moment price at
most |t| at either radius. Therefore its two output differences are bounded by d|t| and fi|t|; letting
t →0 proves equality. This supplies the single-valued activity and scalar maps on the common
normed presentation.
Choose q ≥4 so large that
Searchable transcription
(LCN1) proves the activity assertion in (LCN3). Thus the analytic recovery uses a signed estimate
obtained by a finite interpolation cancellation, with the exact exponent 301, rather than assuming
analyticity of arbitrarily selected primitive witnesses. In fact the output values are independent of
such incidental choices. To compare two representatives with identical coupling and activity data,
use the same constant affine input line but select the first representative at t = 0 and the second
at t ̸= 0. The bounds (LCN3) still hold. For q ≥4, the signed measure δt −δ0 has moment price at
most |t| at either radius. Therefore its two output differences are bounded by d|t| and fi|t|; letting
t →0 proves equality. This supplies the single-valued activity and scalar maps on the common
normed presentation.
Choose q ≥4 so large that
2e
(1/4)(q/4) ≤1,
2d ≤γ = 1/128.
(LCN4)
Source page 218.
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2e
(1/4)(q/4) ≤1,
2d ≤γ = 1/128.
(LCN4)

At any center (λ, A) with Ω−1/32λ ∈[17/20, 23/20] and ∥A∥P ≤1/8, every neighboring center within distance 1/8, followed by any direction of norm at most 1/4, stays in the enlarged scalar window and activity ball used in (LCN3). Recover the line series at radius q/4. Polarization makes its degree-n coefficient a symmetric multilinear map: the finite difference formula divides by n!, has 2n summands, and each sum of n unit vectors has norm at most n. Since nn/n! ≤en, the resulting

multilinear coefficient is bounded by

2e
(1/4)(q/4)
n
C,
C = 2d or 2fi.
(LCN5)
Source page 219.
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multilinear coefficient is bounded by

2e
(1/4)(q/4)
n
C,
C = 2d or 2fi.
(LCN5)

The formulas agree on overlaps because they recover the same scalar line coefficients. They extend through the isometric dense inclusion into the completion, preserving their operator norms. By (LCN4), the activity coefficients are bounded by γ, and the scalar coefficients by 2fi, at every order. For increments z, z′ of norm at most 1/4, telescope each multilinear diagonal and sum:

X
n≥1
n(1/4)n−1∥z −z′∥C = 16
9 C∥z −z′∥≤2C∥z −z′∥.
(LCN6)
Source page 219.
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X
n≥1
n(1/4)n−1∥z −z′∥C = 16
9 C∥z −z′∥≤2C∥z −z′∥.
(LCN6)

Thus the local Lipschitz constants are 2γ for activities and 4fi for the scalar correction. To get the estimates for any two centers in the whole stated window and activity ball, split into distances at most 1/4, where (LCN6) applies, and distances greater than 1/4. In the latter case (LCN3) applied to singleton measures bounds the two values separately by d and fi; their differences are at most 2d ≤γ and 2fi. Both cases imply

∥Φi(y) −Φi(x)∥≤8γ∥y −x∥,
|∆i(y) −∆i(x)| ≤8fi∥y −x∥.
(LCN7)
Source page 219.
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∥Φi(y) −Φi(x)∥≤8γ∥y −x∥,
|∆i(y) −∆i(x)| ≤8fi∥y −x∥.
(LCN7)

With si = 2fi, this is exactly the scalar constant 4si and activity constant 8γ used in (FCB). All prices are for the fixed step of the common calendar and are uniform in the actual cutoffand period when its paid stage and support margins hold. The local analytic constants are chosen before the final history is selected; the completion introduces no new choice of primitive data. The common root envelope in this argument uses the energy gain proved before the expansion, in its actual order of quantifiers. For every sufficiently large odd block side L, all sufficiently large fixed window widths W admit a number κ > 0 and a coupling threshold such that

κ tsf(β, L)2 nseed ≤Eassessed
(ASP5)
Source page 219.
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κ tsf(β, L)2 nseed ≤Eassessed
(ASP5)

for every admitted tube, sector, tree and packet store above that threshold. Here nseed is its number of charged seeds, tsf its small-field threshold and Eassessed the sum of the actual fine, coarse and mismatch departure costs. The assignment of those costs to packet cores, the paid annuli and the three clipping ranges was proved in the energy chapter. Formula (ASP5) is a per-seed energy statement; the expansion additionally uses the support census, normalization expenses and reserves (ASP3)–(ASP4).

For adjacent scheduled profiles use the same angular covers for both copies of (ASP5). They provide one positive coefficient for each of the two requests; replace both by their smaller value and increase the common coupling threshold. The geometric block factor is fixed before these choices. The resulting calendar delays are chosen above both thresholds, and its actual coupling update identifies the next small-field threshold with the one in (ASP5). Every admitted step therefore has the claimed bound with the same charged seeds and the same angular read sets. The pointwise domination obtained this way gives one nonnegative envelope for all the signed entries, including when a parameter path changes which sector is active. Combining it with the tree and collar sums proves the all-root envelope used above.

Source–readout formulation. The step maps of the forward recipe were defined in Theorem 14.20 on represented states. A represented state is a presentation: it contains a representative,

a guide and a forest which the evaluated density does not see. The method’s descent criterion asks
whether the step is constant on the fibres of “choice of presentation”, so that it defines a map of
the normed activity data (λ, A) ∈R× bHP themselves. The derivation above proves this and proves
analyticity of the descended map.
Source page 220.
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a guide and a forest which the evaluated density does not see. The method’s descent criterion asks
whether the step is constant on the fibres of “choice of presentation”, so that it defines a map of
the normed activity data (λ, A) ∈R× bHP themselves. The derivation above proves this and proves
analyticity of the descended map.
Lemma 14.27 (Signed-combination bounds are series bounds). If f(t) = P
n(t/p)nan with
P
n ∥an∥≤C then f has comparison price C at radius p. Conversely, if f has comparison price C
at radius p, then for every p′ < p it is given on [−1, 1] by an absolutely convergent series in t/p′
Source page 220.
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Lemma 14.27 (Signed-combination bounds are series bounds). If f(t) = P
n(t/p)nan with
P
n ∥an∥≤C then f has comparison price C at radius p. Conversely, if f has comparison price C
at radius p, then for every p′ < p it is given on [−1, 1] by an absolutely convergent series in t/p′
with coefficients an, ∥an∥≤C at radius p.
Source page 220.
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with coefficients an, ∥an∥≤C at radius p.
Proof. The first statement interchanges a finite sum with an absolutely convergent series.
For
the converse consider the moment vectors m(t) = ((t/p)n)n ∈l∞.
The hypothesis says that
P
j cjm(tj) 7→P
j cjf(tj) is a well-defined linear map of norm at most C on their span, hence
on its closure. The coordinate vectors lie in that closure: subtract the already recovered lower
coordinates from m(t) at small t ̸= 0, divide by (t/p)n and let t →0.
Their images are the
coefficients an, and m(t) = P
n(t/p)nen converges in norm after restriction to radius p′ < p by the
geometric majorant.
Source page 220.
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Proof. The first statement interchanges a finite sum with an absolutely convergent series.
For
the converse consider the moment vectors m(t) = ((t/p)n)n ∈l∞.
The hypothesis says that
P
j cjm(tj) 7→P
j cjf(tj) is a well-defined linear map of norm at most C on their span, hence
on its closure. The coordinate vectors lie in that closure: subtract the already recovered lower
coordinates from m(t) at small t ̸= 0, divide by (t/p)n and let t →0.
Their images are the
coefficients an, and m(t) = P
n(t/p)nen converges in norm after restriction to radius p′ < p by the
geometric majorant.

Theorem 14.28 (Single-valued analytic step maps).

1. (Descent.) The output activity and scalar correction depend only on the coupling and activity data of the input, not on the representative, guide or forest: for two representatives with identical data, the signed measure δt −δ0 on a constant line has moment price at most |t| for q ≥4, so the output differences are bounded by d|t| and fi|t| for every t ̸= 0, hence vanish.

2. Choose q ≥4 with
2e
(1/4)(q/4) ≤1,
2d ≤γ =
1
128.
Source page 220.
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2. Choose q ≥4 with
2e
(1/4)(q/4) ≤1,
2d ≤γ =
1
128.

Then on the window Ω−1/32λ ∈[17/20, 23/20], ∥A∥P ≤1/8 the maps Φi (activity) and ∆i (scalar) are given near each centre by convergent series of symmetric multilinear maps with

∥degree-n coefficient∥≤

2e
(1/4)(q/4)
n
C,
C = 2d or 2fi,
Source page 220.
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∥degree-n coefficient∥≤

2e
(1/4)(q/4)
n
C,
C = 2d or 2fi,

extend to the completion with the same norms, and satisfy

∥Φi(y) −Φi(x)∥≤8γ∥y −x∥,
|∆i(y) −∆i(x)| ≤8fi∥y −x∥.
Source page 220.
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∥Φi(y) −Φi(x)∥≤8γ∥y −x∥,
|∆i(y) −∆i(x)| ≤8fi∥y −x∥.
Proof. (1) is as stated; it applies (LCN3) to the two-point measure. (2) Recover the line series at
radius q/4 by Lemma 14.27. Polarization makes the degree-n coefficient a symmetric multilinear
map: the finite-difference formula divides by n!, has 2n summands and each sum of n unit vectors
has norm at most n; nn/n! ≤en gives (LCN5). For increments z, z′ of norm at most 1/4 telescoping
each diagonal gives
X
Source page 220.
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Proof. (1) is as stated; it applies (LCN3) to the two-point measure. (2) Recover the line series at
radius q/4 by Lemma 14.27. Polarization makes the degree-n coefficient a symmetric multilinear
map: the finite-difference formula divides by n!, has 2n summands and each sum of n unit vectors
has norm at most n; nn/n! ≤en gives (LCN5). For increments z, z′ of norm at most 1/4 telescoping
each diagonal gives
X
n≥1
n(1/4)n−1∥z −z′∥C = 16
9 C∥z −z′∥≤2C∥z −z′∥,
Source page 220.
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n≥1
n(1/4)n−1∥z −z′∥C = 16
9 C∥z −z′∥≤2C∥z −z′∥,

so the local Lipschitz constants are 2γ and 4fi. For two centres at distance greater than 1/4, (LCN3) on singleton measures bounds the differences by 2d ≤γ and 2fi, which are at most 8γ∥y −x∥and 8fi∥y −x∥.

Part (1) is the descent criterion in its exact form: the step maps are constant on the fibres of the
presentation, so they are well defined on the common normed presentation R × bHP . With si = 2fi
the constants are the scalar constant 4si and the activity constant 8γ used in the stability argument
below. The exponent 301 is the actual finite interpolation order of the supplied construction; ana-
lyticity of the descended maps is a consequence of the signed-moment bounds through Lemma 14.27
and is not an additional hypothesis. In the frame realization the activity space and its norm are
transported isometrically by Theorem 9.4, and the step maps are intertwined by Theorem 14.20;
the Lipschitz constants (LCN7) are therefore the same numbers for the lifted maps. The exactness
class is exact recovery of the maps together with their norms.
Source page 221.
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Part (1) is the descent criterion in its exact form: the step maps are constant on the fibres of the
presentation, so they are well defined on the common normed presentation R × bHP . With si = 2fi
the constants are the scalar constant 4si and the activity constant 8γ used in the stability argument
below. The exponent 301 is the actual finite interpolation order of the supplied construction; ana-
lyticity of the descended maps is a consequence of the signed-moment bounds through Lemma 14.27
and is not an additional hypothesis. In the frame realization the activity space and its norm are
transported isometrically by Theorem 9.4, and the step maps are intertwined by Theorem 14.20;
the Lipschitz constants (LCN7) are therefore the same numbers for the lifted maps. The exactness
class is exact recovery of the maps together with their norms.

14.20 Stability of finite calibration and its comparison weights

The retained forward recipe also gives quantitative stability of the complete finite trajectory under
changes of its bottom coupling. This is the finite statement behind the auxiliary trajectories in the
uniqueness argument. Write xi = bβi and define
Source page 221.
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The retained forward recipe also gives quantitative stability of the complete finite trajectory under
changes of its bottom coupling. This is the finite statement behind the auxiliary trajectories in the
uniqueness argument. Write xi = bβi and define
p
βi/xi
wi = x−1/32
i
,
bi = xiwi = x31/32
i
,
λi =
wi
,
βi = xi(wiλi)2.
(FCB1)
Source page 221.
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p
βi/xi
wi = x−1/32
i
,
bi = xiwi = x31/32
i
,
λi =
wi
,
βi = xi(wiλi)2.
(FCB1)
The positive square root is used. By (FCA8), wiλi ∈[17/20, 23/20]; this wider interval contains
[
p
3/4,
p
5/4]. The activity coordinate Xi is its image in the common completed activity chart.
At a fixed finite horizon all these coordinates live in one finite product of their scalar and activity
spaces.
Let γ = 1/128. The actual local analytic comparison, including the initial state at N, bounds
differences of activity outputs by 8γ times the maximum input-coordinate difference. Its scalar
correction output has Lipschitz bound 4si times that maximum. The weights are explicitly
Source page 221.
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The positive square root is used. By (FCA8), wiλi ∈[17/20, 23/20]; this wider interval contains
[
p
3/4,
p
5/4]. The activity coordinate Xi is its image in the common completed activity chart.
At a fixed finite horizon all these coordinates live in one finite product of their scalar and activity
spaces.
Let γ = 1/128. The actual local analytic comparison, including the initial state at N, bounds
differences of activity outputs by 8γ times the maximum input-coordinate difference. Its scalar
correction output has Lipschitz bound 4si times that maximum. The weights are explicitly
si = 2 choresi
θ2
i
,
choresi = v Cstage(i)x−11/10
i
,
(FCB2)
Source page 221.
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si = 2 choresi
θ2
i
,
choresi = v Cstage(i)x−11/10
i
,
(FCB2)
where v > 0 is the fixed comparison cost and Cj > 0 the stage’s local analytic price. The common
small-field threshold is θi = x−1/2
i
exp((log log xi)2). Thus si ≤2vCstage(i)x−1/10
i
. These comparison
bounds apply to the same retained primitive operation at both points, as ensured by its fixed layout
and choices.
The calendar pays the cumulative weight inequality
X
Source page 221.
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where v > 0 is the fixed comparison cost and Cj > 0 the stage’s local analytic price. The common
small-field threshold is θi = x−1/2
i
exp((log log xi)2). Thus si ≤2vCstage(i)x−1/10
i
. These comparison
bounds apply to the same retained primitive operation at both points, as ensured by its fixed layout
and choices.
The calendar pays the cumulative weight inequality
X
j<i
sj ≤γbi,
b0 ≤bi.
(FCB3)
Source page 221.
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j<i
sj ≤γbi,
b0 ≤bi.
(FCB3)

Here is its derivation from delays. At a fixed stage transition the positive reference increment is a = s log L > 0. The mean value theorem, for x ≥a, gives

(x + a)31/32 −x31/32 ≥a 31
32 2−1/32x−1/32.
Source page 221.
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(x + a)31/32 −x31/32 ≥a 31
32 2−1/32x−1/32.
Since x−1/10/x−1/32 →0, eventually the upper bound in (FCB2) is at most γ times this increment.
Include this one eventual threshold in the coupling-entry delay for each of the two allowed adjacent-
stage possibilities. It follows at every realized step that si ≤γ(bi+1−bi). Summing gives P
j<i sj ≤
γ(bi −b0) ≤γbi. Positivity and monotonicity of xi give b0 ≤bi. Thus (FCB3) is a consequence of
the same schedule, not a supplementary assumption on a chosen pair of trajectories.
Source page 221.
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Since x−1/10/x−1/32 →0, eventually the upper bound in (FCB2) is at most γ times this increment.
Include this one eventual threshold in the coupling-entry delay for each of the two allowed adjacent-
stage possibilities. It follows at every realized step that si ≤γ(bi+1−bi). Summing gives P
j<i sj ≤
γ(bi −b0) ≤γbi. Positivity and monotonicity of xi give b0 ≤bi. Thus (FCB3) is a consequence of
the same schedule, not a supplementary assumption on a chosen pair of trajectories.
Compare two successful trajectories of the deterministic recipe, with bottom-coupling difference
δ. Let
U = max
0≤i≤N max{|λ′
i −λi|, ∥X′
i −Xi∥}.
Source page 222.
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Compare two successful trajectories of the deterministic recipe, with bottom-coupling difference
δ. Let
U = max
0≤i≤N max{|λ′
i −λi|, ∥X′
i −Xi∥}.
The local comparisons give ∥X′
i −Xi∥≤8γU, including the finest-state comparison, and correction
differences at most 4siU. Subtracting the finite coupling recursions cancels their common path
coefficients:
β′
i −βi = δ −
X
j<i
(∆′
j −∆j).
(FCB4)
Source page 222.
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The local comparisons give ∥X′
i −Xi∥≤8γU, including the finest-state comparison, and correction
differences at most 4siU. Subtracting the finite coupling recursions cancels their common path
coefficients:
β′
i −βi = δ −
X
j<i
(∆′
j −∆j).
(FCB4)

On the other hand (FCB1) factors their difference exactly as

β′
i −βi = bi(λ′
i −λi)(wiλ′
i + wiλi).
Source page 222.
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β′
i −βi = bi(λ′
i −λi)(wiλ′
i + wiλi).

The last factor is at least 17/10 > 1. Equations (FCB3)–(FCB4) imply

|λ′
i −λi| ≤|δ|
bi
+ 4γU ≤|δ|
b0
+ 4γU.
Source page 222.
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|λ′
i −λi| ≤|δ|
bi
+ 4γU ≤|δ|
b0
+ 4γU.

Taking the maximum over all levels and both coordinates proves

U ≤|δ|
b0
+ 8γU,
U ≤2|δ|/b0.
(FCB5)
Source page 222.
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U ≤|δ|
b0
+ 8γU,
U ≤2|δ|/b0.
(FCB5)

Only finite products and finite sums occur at this stage. If δ = 0, (FCB5) gives identical finest normalized couplings, hence identical finest actual couplings. Their startup states are equal by their fixed startup rule. Descending determinism of the primitive recipe then gives equality of all represented states. Thus the successful finite trajectory with a prescribed bottom value is unique within this retained recipe, although monotonicity of a scalar coarse readout was unnecessary for existence.

The arcs prove existence for every bottom value in the nearby interval. Combining them with (FCB5) gives continuous dependence of its normalized scalar and activity coordinates on that value, on the same finite calendar. For example, choose a bottom perturbation |δ| ≤(l/4)b0, with the fixed small comparison radius l> 0, and small enough to stay in [3 ̄β/4, 5 ̄β/4]. Then U ≤l/2, placing the entire perturbed trajectory inside the common analytic comparison neighborhood. This constructs the nearby finite trajectories used in passing local comparison estimates to banked limits. Equations (FCB1)–(FCB4) also identify explicitly the positive scalar weight and summable correction weights in that argument.

Source–readout formulation. The calibration of Theorem 14.24 selected a point of the fibre of the bottom-coupling reader by the intermediate value theorem. The comparison weights now show that this fibre, within the retained recipe, is a single point, and that the reader has a Lipschitz inverse.

Theorem 14.29 (Injective, Lipschitz-invertible bottom reader). Let two successful trajectories of
the deterministic recipe have bottom-coupling difference δ and U = max0≤i≤N max{|λ′
i −λi|, ∥X′
i −
Xi∥}. Then
Source page 222.
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Theorem 14.29 (Injective, Lipschitz-invertible bottom reader). Let two successful trajectories of
the deterministic recipe have bottom-coupling difference δ and U = max0≤i≤N max{|λ′
i −λi|, ∥X′
i −
Xi∥}. Then
U ≤|δ|
b0
+ 8γU,
U ≤2|δ|
b0
.
Source page 222.
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U ≤|δ|
b0
+ 8γU,
U ≤2|δ|
b0
.
In particular the successful finite trajectory with a prescribed bottom value is unique within the
retained recipe: the bottom reader BN,p of Theorem 14.24 is injective, and b∗
N,p is the unique point
of the fibre over  ̄β.
Source page 222.
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In particular the successful finite trajectory with a prescribed bottom value is unique within the
retained recipe: the bottom reader BN,p of Theorem 14.24 is injective, and b∗
N,p is the unique point
of the fibre over  ̄β.
Proof. Theorem 14.28 gives ∥X′
i−Xi∥≤8γU (including the finest-state comparison) and correction
differences at most 4siU. Subtracting the coupling recursions cancels the common path coefficients,
Source page 223.
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Proof. Theorem 14.28 gives ∥X′
i−Xi∥≤8γU (including the finest-state comparison) and correction
differences at most 4siU. Subtracting the coupling recursions cancels the common path coefficients,
β′
i −βi = δ −
X
j<i
(∆′
j −∆j),
Source page 223.
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β′
i −βi = δ −
X
j<i
(∆′
j −∆j),
while (FCB1) factors β′
i −βi = bi(λ′
i −λi)(wiλ′
i + wiλi) with last factor at least 17/10 > 1. With
(FCB3), |λ′
i −λi| ≤|δ|/bi + 4γU ≤|δ|/b0 + 4γU.
Taking the maximum over levels and both
coordinates gives the first inequality, and 8γ = 1/16 the second. If δ = 0 the finest normalized
couplings, hence the finest couplings, agree; the startup states are equal by the fixed startup rule
and descending determinism gives equality of all represented states.
Source page 223.
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while (FCB1) factors β′
i −βi = bi(λ′
i −λi)(wiλ′
i + wiλi) with last factor at least 17/10 > 1. With
(FCB3), |λ′
i −λi| ≤|δ|/bi + 4γU ≤|δ|/b0 + 4γU.
Taking the maximum over levels and both
coordinates gives the first inequality, and 8γ = 1/16 the second. If δ = 0 the finest normalized
couplings, hence the finest couplings, agree; the startup states are equal by the fixed startup rule
and descending determinism gives equality of all represented states.

Consequently the calibration interface has no residual multiplicity at a finite cutoff: the realized calibrated history at (N, p) is determined by its bottom value. The qualification “within the retained recipe” is essential. The theorem compares trajectories of the one deterministic recipe on one calendar; it does not compare different recipes, different calendars or different address layouts, and the lift does not assert that those would give the same history. The weights bi and the inequalities (FCB3) are read from the calendar c and were purchased among its entry delays.

14.21 Uniform running of the actual coupling

The drift estimate also proves the uniform running bound needed in the public theorem. Define

D0 = 0,
Di+1 = Di + di+1.
(RUN1)
Source page 223.
Searchable transcription
D0 = 0,
Di+1 = Di + di+1.
(RUN1)
For the calibrated finite history, (FCA3), βN,p,0 =  ̄β, and the exact recursion for bβi imply
Source page 223.
Searchable transcription
For the calibrated finite history, (FCA3), βN,p,0 =  ̄β, and the exact recursion for bβi imply
|βN,p,i −bβi| ≤Di
(i ≤N).
(RUN2)
Source page 223.
Searchable transcription
|βN,p,i −bβi| ≤Di
(i ≤N).
(RUN2)

Indeed subtract the two recursions and apply the triangle inequality at each step. The right side depends only on the calendar, so this bound is uniform in both N and p. The stronger asymptotic drift condition of that calendar is

di+1
log Li
≤J(i + 1)−2,
J(i) −→∞.
(RUN3)
Source page 223.
Searchable transcription
di+1
log Li
≤J(i + 1)−2,
J(i) −→∞.
(RUN3)

Here J(i) is the stage index, not a cutoffor period. Given ε > 0, choose j so that J(i + 1)−2 ≤ε/2 for every i ≥j. Summing (RUN3) gives, for m ≥j,

Dm ≤Dj + ε
2(τm −τj).
Source page 223.
Searchable transcription
Dm ≤Dj + ε
2(τm −τj).

Since τm →∞, eventually Dj ≤(ε/2)τm. Together with (RUN2) this proves

∀ε > 0 ∃m0 ∀m ≥m0 ∀N ≥m ∀p,
|βN,p,m −bβm| ≤ετm.
(RUN4)
Source page 223.
Searchable transcription
∀ε > 0 ∃m0 ∀m ≥m0 ∀N ≥m ∀p,
|βN,p,m −bβm| ≤ετm.
(RUN4)
This is uniform control of the actual finite-cutoffcoupling, including m = N. It is stronger than
merely writing down the reference line bβm =  ̄β + sτm.
Dividing by τm > 0, and then absorbing the fixed intercept  ̄β/τm, yields
Source page 223.
Searchable transcription
This is uniform control of the actual finite-cutoffcoupling, including m = N. It is stronger than
merely writing down the reference line bβm =  ̄β + sτm.
Dividing by τm > 0, and then absorbing the fixed intercept  ̄β/τm, yields
βN,p,m
τm
−s
 −→0.
(RUN5)
sup
N≥m, p
Source page 223.
Searchable transcription
βN,p,m
τm
−s
 −→0.
(RUN5)
sup
N≥m, p
Explicitly apply (RUN4) with error ε/4, and take τm ≥4(| ̄β| + 1)/ε; the triangle inequality gives
an error smaller than ε. Taking m = N proves the bare coupling slope in the theorem, uniformly
in the physical period.
Set b0 = 11CA/(48π2), so 2b0 = s. For arbitrary cutoffand period sequences Ni ≥i eventually
and pi, let gi = β−1/2
Ni,pi,i. Positivity of the coupling and (RUN5), followed by continuity of the square
root and reciprocal at s > 0, give
Source page 224.
Searchable transcription
Explicitly apply (RUN4) with error ε/4, and take τm ≥4(| ̄β| + 1)/ε; the triangle inequality gives
an error smaller than ε. Taking m = N proves the bare coupling slope in the theorem, uniformly
in the physical period.
Set b0 = 11CA/(48π2), so 2b0 = s. For arbitrary cutoffand period sequences Ni ≥i eventually
and pi, let gi = β−1/2
Ni,pi,i. Positivity of the coupling and (RUN5), followed by continuity of the square
root and reciprocal at s > 0, give
gi
q
log(a−1
i ) −→(2b0)−1/2.
(RUN6)
Source page 224.
Searchable transcription
gi
q
log(a−1
i ) −→(2b0)−1/2.
(RUN6)
The equality used here is β−1/2√τ = (β/τ)−1/2 for β, τ > 0. This regulator coupling is defined
from the inverse action coefficient. Its numerical leading logarithm does not by itself identify it
with a coupling defined by a physical position-space observable. That separate identification, and
its normalization, are proved in the trace and Ward calculation.
Source page 224.
Searchable transcription
The equality used here is β−1/2√τ = (β/τ)−1/2 for β, τ > 0. This regulator coupling is defined
from the inverse action coefficient. Its numerical leading logarithm does not by itself identify it
with a coupling defined by a physical position-space observable. That separate identification, and
its normalization, are proved in the trace and Ward calculation.
Source–readout formulation.
Equation (RUN5) recovers the first quantitative clause of the
supplied public conclusion (Section 4) as a property of the calibrated realized history: the readout
Readslope(N, p) = βN,p/ log(h−1
N ) converges to s uniformly in p, with witnesses the calendar c and
the trajectories of Theorems 14.24 and 14.29. It is stronger than writing down the reference line
bβm, since it controls the actual finite-cutoffcoupling.
The regulator coupling gi of (RUN6) is
defined from the inverse action coefficient. Its leading logarithm does not by itself identify it with a
coupling defined by a physical position-space observable; that identification and its normalization
are a separate result of the trace and Ward calculation (Section 23.1). The lift keeps the two notions
as two different readers of the same realized history, and no physical significance is attached to
(RUN6) beyond the stated limit.
Source page 224.
Searchable transcription
Source–readout formulation.
Equation (RUN5) recovers the first quantitative clause of the
supplied public conclusion (Section 4) as a property of the calibrated realized history: the readout
Readslope(N, p) = βN,p/ log(h−1
N ) converges to s uniformly in p, with witnesses the calendar c and
the trajectories of Theorems 14.24 and 14.29. It is stronger than writing down the reference line
bβm, since it controls the actual finite-cutoffcoupling.
The regulator coupling gi of (RUN6) is
defined from the inverse action coefficient. Its leading logarithm does not by itself identify it with a
coupling defined by a physical position-space observable; that identification and its normalization
are a separate result of the trace and Ward calculation (Section 23.1). The lift keeps the two notions
as two different readers of the same realized history, and no physical significance is attached to
(RUN6) beyond the stated limit.

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