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Phase decomposition and Wightman reconstruction

A Wilson Yang–Mills Construction: A Natural-Language Mathematical Exposition

Phase decomposition and Wightman reconstruction

The reconstruction has three levels. Finite reflection-positive correlations first give Hilbert vectors and bounded slab operators. The commutative ground-compression algebra then produces characters and a full-support phase measure. Finally tube continuation and tempered boundary limits construct fields on a common cyclic domain in each selected phase. The proof below keeps these levels separate: it does not assume a one-dimensional ground space before the phase argument establishes vacuum uniqueness.

Bounded slab insertions and their norm derivatives

Fix an axis a, width d > 0, and word w = ((xi, vi))n
i=1 of distinct points inside 0 < xa
i < d. A
buffer 0 < r ≤1 requires pairwise maximum-coordinate distance at least r and r ≤xa
i ≤d −r. For
degrees at most D and coefficient norms at most R, we construct
Source page 290.
Searchable transcription
Fix an axis a, width d > 0, and word w = ((xi, vi))n
i=1 of distinct points inside 0 < xa
i < d. A
buffer 0 < r ≤1 requires pairwise maximum-coordinate distance at least r and r ≤xa
i ≤d −r. For
degrees at most D and coefficient norms at most R, we construct
∥Ud(w)∥≤Cn(n/r)An,
(BS1)
Source page 290.
Searchable transcription
∥Ud(w)∥≤Cn(n/r)An,
(BS1)

with C > 0, A ∈N depending only on D, R. The empty word has bound one. On a future plant the prescribed action inserts w before that plant translated by dea. Boundedness precedes extension to the Hilbert completion.

The centered one-cell estimate gives a threshold F, exponent P, and J > 0, such that one insertion at level k ≥F has price Ja−P . Include all signed rotations and reflected conjugates by k enlarging the coefficient ball by their finitely many operator norms on the finitely many raw degree spaces. These constants consequently work for every reflected copy.

The decreasing schedule satisfies ak+1 ≥c0a2 k. At the first m ≥F below r/32, we have am ≥c1r2; decrease c1 > 0 to include m = F. Choose fixed sufficiently small s > 0 and the first k ≥F below s(r/n)2. The same first-crossing argument gives

ak ≥c(r/n)4,
20nak < am,
k ≥m.
(BS2)
Source page 290.
Searchable transcription
ak ≥c(r/n)4,
20nak < am,
k ≥m.
(BS2)

Indeed 20nak < 20sr2/n ≤20sr2 < c1r2, and strict decrease gives k ≥m. Exterior insertions are paid at still finer scales, chosen after this main scale; their prices may depend on the exterior word.

First let d′ be an integer multiple of am. Alternating insertion of w and its reflection produces, in the squared norm after q repetitions, 4q main copies and two exterior copies. The main positions repeat the original 2n position patterns modulo am. Thus cell packing needs only 20nak < am, independently of q. The buffer separates the main train from the translated exterior. The rooted product estimate and the fixed finite-word lattice limit give

∥plant of the repeated word∥2 ≤Bp[Ja−P
k
]4nq,
(BS3)
Source page 290.
Searchable transcription
∥plant of the repeated word∥2 ≤Bp[Ja−P
k
]4nq,
(BS3)

with Bp independent of q. This is the train estimate in Next/PHASE/Trains.travel_price and Seats.replicas. By (BS2), its main price is

Q = [Ja−P
k
]n ≤[Jc−P ]n(n/r)4Pn.
Source page 291.
Searchable transcription
Q = [Ja−P
k
]n ≤[Jc−P ]n(n/r)4Pn.

We may use the latter expression for Q.

To remove the exterior prefactor, let X send algebraic future words to the reflection Hilbert space, V insert the main word, and V ♯insert its opposite reflected word. Reflection and translation invariance give ⟨XV u, Xv⟩= ⟨Xu, XV ♯v⟩. Put T = V ♯V . Taking square roots in (BS3) and finite linear combinations gives ∥XT qu∥≤BuQ2q. Therefore su = supq Q−2q∥XT qu∥is finite. Moving powers of T across the pairing yields

(Q−2q∥XT qu∥)2 ≤∥Xu∥su.
Source page 291.
Searchable transcription
(Q−2q∥XT qu∥)2 ≤∥Xu∥su.
u ≤∥Xu∥su, hence su ≤∥Xu∥. Finally ∥XV u∥2 = ⟨Xu, XTu⟩≤Q2∥Xu∥2.
Taking suprema gives s2
Insertion thus annihilates null vectors, descends to the quotient, and extends uniquely with norm
at most Q. This is OS/Train.producer.
For general d, use d′ = am⌊d/am⌋. Since am < r/32, the same word lies in the narrower slab
with buffer r/2. Compose its operator on the right with the heat contraction of width d −d′. On
plants this is exactly the required insertion at width d, and its norm does not increase. The empty
word is the heat contraction. All intermediate choices give the same operator because they agree
on the dense plants. Replacing r by r/2 only enlarges C, proving (BS1) for one common family of
operators. This is the padding and uniqueness argument of OS/Halves and Work/B01.
Searchable transcription
u ≤∥Xu∥su, hence su ≤∥Xu∥. Finally ∥XV u∥2 = ⟨Xu, XTu⟩≤Q2∥Xu∥2.
Taking suprema gives s2
Insertion thus annihilates null vectors, descends to the quotient, and extends uniquely with norm
at most Q. This is OS/Train.producer.
For general d, use d′ = am⌊d/am⌋. Since am < r/32, the same word lies in the narrower slab
with buffer r/2. Compose its operator on the right with the heat contraction of width d −d′. On
plants this is exactly the required insertion at width d, and its norm does not increase. The empty
word is the heat contraction. All intermediate choices give the same operator because they agree
on the dense plants. Replacing r by r/2 only enlarges C, proving (BS1) for one common family of
operators. This is the padding and uniqueness argument of OS/Halves and Work/B01.

We next prove operator-norm regularity. Fix labels and width, and write F(x) = Ud(wx) on the open set of distinct slab configurations. For a slot-axis index b = (i, j), replace its label by a representative of its physical j-derivative and call the resulting placement Fb(x). Set

B(x)h =
X
b
hbFb(x).
(BS4)
Source page 291.
Searchable transcription
B(x)h =
X
b
hbFb(x).
(BS4)

Near a fixed configuration there is one positive buffer for the original word and these finitely many differentiated words. Equation (BS1) makes B locally bounded in operator norm. Between two plants, the placement is a separated correlation with a fixed exterior word. The scalar slot-derivative law gives its derivative as the matrix element of B(x), also for finite linear combinations of plants. On a convex position ball suppose ∥B(z) −B0∥≤η. The scalar mean-value estimate gives

|⟨u, [F(y) −F(x) −B0(y −x)]v⟩| ≤η∥u∥∥v∥∥y −x∥.
Source page 291.
Searchable transcription
|⟨u, [F(y) −F(x) −B0(y −x)]v⟩| ≤η∥u∥∥v∥∥y −x∥.

Density gives the same estimate in operator norm. First set B0 = 0: local boundedness makes every placement locally Lipschitz. Apply this also to each differentiated label array; all Fb, hence B, are norm continuous. Then set B0 = B(x) and shrink the ball. Its oscillation tends to zero, proving DF(x) = B(x) in norm. Induction with differentiated labels gives smoothness of every order on the same position domain. This is the argument of Work/B02/Analysis.norm_remainder and Work/B02/Slab.smooth_place; it establishes the norm regularity used in the waves and compression-valued moments below.

Surjectivity of the reflection attachment

Surjectivity of attachment The reflection Hilbert space is formed from a positive pairing on future words. An attachment map can preserve that pairing and still have a proper closed range,

so its being an isometry is not the final step. Surjectivity below identifies a dense family of heated word vectors in that range and uses closedness to obtain the whole space. This identifies the reconstructed representation with the intended cyclic word space and is needed when the boundary fields are later placed on their common domain.

The attachment J is an isometry from the complete boundary Hilbert space, so its range is closed. First consider a regularized word vector integrated against the Fourier transform of a compact smooth test. The boundary tilt identity identifies it with J applied to the boundary word distribution tested against the correspondingly chilled test. Here is the Hilbert-space step in that identification. If A is the reflection-space regularized vector and B the proposed attached vector, the joint pairing formula gives ⟨A, A⟩= ⟨B, B⟩. Pair A with the regularized approximants tending to B. Their partial-boundary correlations converge by the boundary distribution construction, giving ⟨A, B⟩= ⟨B, B⟩. Therefore ∥A −B∥2 = 0 and A = B. The strict-time wave and independently heated word constructions below establish the boundary tilt and joint pairing identities used here.

Compact cutoffs approximate any Schwartz test after Fourier transform. The regularized word map is continuous, by its bound C∥f∥L1, so closedness of the range extends membership to every integrated regularized word vector. For a pointwise regularized word vector, pair with a vector orthogonal to the range. All its smeared pairings vanish. The pointwise pairing is continuous, so equality as a distribution implies that it vanishes everywhere. The pointwise vector belongs to the double orthogonal complement of the range, hence to the range itself.

A future Euclidean word with strictly ordered positive times is exactly such a regularized word: choose the regularization below every initial time and consecutive time gap, then recursively insert the local regularized fields and intervening translation and heat operators. This recursion reproduces the reflection-space plant of the word with its specified insertion representatives. Quotientfield representatives give the same plant because their table expectations agree against all future words. Hence every strictly time-ordered future plant lies in J’s range.

For an arbitrary future word, permutation symmetry first sorts its times. Add εi to its i- th sorted time. For ε > 0 the times are strictly increasing and remain positive. The original configuration is separated; the perturbed configurations remain separated and converge to it as ε ↓0. Smoothness of the separated table makes the associated plant vectors continuous in norm, as seen by expanding the squared distance into three table pairings. Since the range is closed, the unperturbed plant also lies in it. Future plants have dense linear span by the GNS construction. Therefore the closed range is the whole reflection Hilbert space, proving surjectivity.

Explicit tested boundary formula

Fix a field word v and let Ψ(y, f) be its holomorphic wave smeared against a joint Schwartz test f at strictly increasing imaginary heights y. Let ai = i and define the continuous test operator D = −i∂dawn(a). The tested Cauchy–Riemann identity is

d
dtΨ(y + ta, Dkf) = Ψ(y + ta, Dk+1f).
Source page 292.
Searchable transcription
d
dtΨ(y + ta, Dkf) = Ψ(y + ta, Dk+1f).

Assume the wave bound |W(x+iy)| ≤Ck−m whenever the height gaps are at least k, 0 < k ≤1. For any nondecreasing y and t > 0, y+ta has gaps at least t. Define

m
X
(−t)k
k!
Ψ(y + ta, Dkf).
Pm(y, f; t) =
k=0
Source page 292.
Searchable transcription
m
X
(−t)k
k!
Ψ(y + ta, Dkf).
Pm(y, f; t) =
k=0

Differentiating and cancelling adjacent terms yields ∂tPm(y, f; t) = (−t)mΨ(y +ta, Dm+1f)/m!. The wave bound and integration in x give

|∂tPm(y, f; t)| ≤C
m!∥Dm+1f∥L1,
0 < t ≤1.
Thus the expression
Source page 293.
Searchable transcription
|∂tPm(y, f; t)| ≤C
m!∥Dm+1f∥L1,
0 < t ≤1.
Thus the expression
m
X
(−1)k
k!
Ψ(y + a, Dkf)
B(y, f) =
k=0
−
Z 1
0
(−t)m
m!
Ψ(y + ta, Dm+1f) dt.
Source page 293.
Searchable transcription
m
X
(−1)k
k!
Ψ(y + a, Dkf)
B(y, f) =
k=0
−
Z 1
0
(−t)m
m!
Ψ(y + ta, Dm+1f) dt.

is defined for every nondecreasing y. For strictly increasing y, the fundamental theorem of calculus gives B(y, f) = Ψ(y, f). For y approaching any nondecreasing y0, the finite terms are evaluated at interior heights and are continuous. The remainder integrands are continuous for every t > 0 and share the constant integrable bound just proved. Dominated convergence makes B continuous at y0. Therefore Ψ(y, f) tends to B(y0, f) along every strict-height approach, with no restriction on the ratios of the gaps.

Furthermore

m
X
∥Dkf∥L1
|B(y, f)| ≤C
k!
k=0
+ C
m!∥Dm+1f∥L1.
Source page 293.
Searchable transcription
m
X
∥Dkf∥L1
|B(y, f)| ≤C
k!
k=0
+ C
m!∥Dm+1f∥L1.

This is a continuous Schwartz seminorm. Linearity in f and multilinearity in the labels pass through the interior limits and yield a tempered multilinear boundary distribution. Different choices of the admissible exponent m give the same distribution by uniqueness of these limits. The common character-independent C, m prove both boundary continuity in the character and passage of the character barycenter to the boundary. The construction of the waves and the tested Cauchy– Riemann and polynomial gap estimates used here is given in (SW1)–(SW7) and (CR1)–(CR2) below.

Character integration at strict imaginary times

For a fixed field word v of arity n, the heat-regularized field factors have bounds Qa p−da. Choosing the regularization p = k/8 for imaginary-time gaps at least k, with 0 < k ≤1, gives a product bound

|Wχ(v; x + iy)| ≤[
Y
a
Qa(8)da]k−P
a da,
Source page 293.
Searchable transcription
|Wχ(v; x + iy)| ≤[
Y
a
Qa(8)da]k−P
a da,

uniformly in χ and the real positions x. The comparison of the phase regularized factor norm with the unselected factor norm supplies the same constants in every phase. The factors are constructed in (SW1)–(SW3); the phase norm comparison is (ST1)–(ST4), using the bounded slab construction (BS1)–(BS4).

At a strict imaginary-time configuration the phase values are continuous in χ and have the
unselected value as their integral. For a joint Schwartz test f and fixed strict heights y, the preced-
ing bound gives the integrable dominator Ck−m|f(x)|. Dominated convergence therefore proves
R Wχ(v; x + iy)f(x)dx. The same bound, combined with the probability normal-
continuity of χ 7→
ization of the phase measure, makes the double integral absolutely integrable. Fubini transfers the
character integral inside the x-integral and yields the unselected strict smeared wave.
Searchable transcription
At a strict imaginary-time configuration the phase values are continuous in χ and have the
unselected value as their integral. For a joint Schwartz test f and fixed strict heights y, the preced-
ing bound gives the integrable dominator Ck−m|f(x)|. Dominated convergence therefore proves
R Wχ(v; x + iy)f(x)dx. The same bound, combined with the probability normal-
continuity of χ 7→
ization of the phase measure, makes the double integral absolutely integrable. Fubini transfers the
character integral inside the x-integral and yields the unselected strict smeared wave.

The source passes this identity to the Wightman boundary using a common finite-order Taylor representation along an interior height ray. Its polynomial part uses finitely many strict evaluations; its remainder has a common integrable bound on the ray parameter after enough test derivatives. Thus continuity in χ passes separately through that finite sum and the dominated remainder integral. The same representation bounds the smeared strict waves uniformly in χ as the heights approach the boundary. Dominated convergence in χ then gives the boundary barycenter identity. The tested boundary formula and strict-time wave estimates below provide this Taylor representation and its common polynomial-order bound.

Identification of the heat ground projection

Let Es be the positive reflection-space contraction semigroup, and let Π be its strong s →∞limit, the projection onto its fixed vectors. Its lifted joint momentum measure gives for every vector x

⟨x, Esx⟩=
Z
exp(−sE(p))dνx(p).
Source page 294.
Searchable transcription
⟨x, Esx⟩=
Z
exp(−sE(p))dνx(p).

Since E ≥0 almost everywhere, the integrands are bounded by one and converge to the indicator of E = 0. Dominated convergence gives the limit νx({E = 0}) = ⟨x, P({E = 0})x⟩. The strong semigroup limit gives the same limit ⟨x, Πx⟩. Polarization of these quadratic pairings proves Π = P({E = 0}), without an assumption that this projection has rank one.

For the isometric attachment J from the boundary Hilbert space to this reflection space, set Bs = J∗EsJ. The attachment identifies the diagonal spectral measures, so ⟨x, Bsx⟩is the Boltzmann integral for the boundary momentum measure. It also intertwines the zero-energy projections. Applying J∗to the reflection-space strong limit and using J∗J = I gives Bsx →Pboundary({E = 0})x for every x. The vacuum rank is established later by the locality and character argument, not used in this identification. Surjectivity of J, supplied separately by the attachment construction, then realizes the whole reflection heat evolution on the boundary Hilbert space.

Weak irreducibility from heat evolution

With the reconstructed Hilbert space and heat evolution, let Φ be the reconstructed fields on their common word domain, Ωthe cyclic unit vacuum, U(t) the time translations, and B a bounded operator satisfying the weak commutation identity

⟨Φ(a, f)∗u, Bv⟩= ⟨u, BΦ(a, f)v⟩
Source page 294.
Searchable transcription
⟨Φ(a, f)∗u, Bv⟩= ⟨u, BΦ(a, f)v⟩

for word-domain u,v, with the adjoint interpreted by its actual Hilbert-space adjoint restricted to that domain. No preservation of the domain by B is assumed. Repeated application moves a whole word across the pairing: ⟨w∗u, Bv⟩= ⟨u, Bwv⟩.

Fix a word vector u = wΩand let v = w∗Ω. The heat-space attachment supplies bounded continuous scalar functions on the closed upper half-plane, holomorphic in its interior, with real boundary values

F(t) = ⟨u, U(t)BΩ⟩, G(t) = ⟨B∗Ω, U(t)v⟩.
Source page 294.
Searchable transcription
F(t) = ⟨u, U(t)BΩ⟩, G(t) = ⟨B∗Ω, U(t)v⟩.

Translation covariance, invariance of Ωand the weak word identity give F(t) = G(−t) for real t. Glue F above the axis to G(−z) below it. The boundary equality makes the glued function continuous. Cauchy’s theorem on rectangles cut along the real axis, with cancellation of the common boundary integrals, shows that the glued function is entire. It is bounded, so Liouville’s theorem makes it constant. In particular

⟨u, BΩ⟩= ⟨u, exp(−sH)BΩ⟩, s ≥0.
Source page 295.
Searchable transcription
⟨u, BΩ⟩= ⟨u, exp(−sH)BΩ⟩, s ≥0.

The constructed heat evolution converges strongly to the vacuum projection as s tends to infinity. Hence ⟨u, BΩ⟩= ⟨u, Ω⟩⟨Ω, BΩ⟩for every word vector u. Density gives BΩ= aΩ, a = ⟨Ω, BΩ⟩. Move each word across B once more to obtain ⟨u, BwΩ⟩= a < u, wΩ> for all word vectors u,wΩ. Density and boundedness imply B = aI. Conversely every scalar multiple of I satisfies the weak identity by the field adjoint relation. Thus the weak commutant is precisely the scalars. The heat-contraction, holomorphic-edge and vacuum-projection arguments of this chapter establish the properties used in this weak-commutant argument.

From low-energy measure bounds to uniform heat decay

Low-energy spectral bounds control heat decay without supplying a positive mass gap. The heat-ground projection and its compression algebra are the actual objects used in phase decomposition. Full support of the character measure subsequently upgrades certain continuous almost-everywhere identities to every character, after the required continuity and common bounds have been established.

The shell estimate uses positivity of a time average. Let μ, ν be the scalar spectral measures of a
compact word combination and its adjoint word combination, both supported in the forward cone,
with total mass sum at most M. Their characteristic-function difference A(x, t) = bμ(x, t)−bν(−x, −t)
is the vacuum commutator pairing. Locality gives A(x, t) = 0 whenever |x| > R and |t| ≤1, with
R uniform in the character: the words have fixed compact test supports and the label action is
common across phases. Define
Searchable transcription
The shell estimate uses positivity of a time average. Let μ, ν be the scalar spectral measures of a
compact word combination and its adjoint word combination, both supported in the forward cone,
with total mass sum at most M. Their characteristic-function difference A(x, t) = bμ(x, t)−bν(−x, −t)
is the vacuum commutator pairing. Locality gives A(x, t) = 0 whenever |x| > R and |t| ≤1, with
R uniform in the character: the words have fixed compact test supports and the label action is
common across phases. Define
D(x) =
Z 1
0
[A(x, t) −A(x, −t)]/(2i)dt,
ρ(E) =
Z 1
0
sin(Et)dt.
Source page 295.
Searchable transcription
D(x) =
Z 1
0
[A(x, t) −A(x, −t)]/(2i)dt,
ρ(E) =
Z 1
0
sin(Et)dt.
For E > 0, ρ(E) = (1 −cos E)/E ≥0, with ρ(0) = 0 and |ρ| ≤1. For 0 ≤E ≤1, the
inequality sin(Et) ≥2Et/π gives ρ(E) ≥E/π. Fubini applies since both measures are finite and
the integrands are bounded. It expresses D as the spatial Fourier transform of the sum of two
positive measures: ρ(E) dμ pushed to spatial momentum, and ρ(E) dν pushed to negative spatial
momentum. Moreover, |D(x)| ≤M, and D vanishes outside the radius-R ball.
Fix 0 < u ≤1 and a smooth nonnegative spatial bump Bu equal to one on |p| ≤u and supported
in |p| ≤2u, with Bu ≤1. Its Fourier transform is bounded in absolute value by the volume of the
radius-2u ball, hence by C3u3. Since D is supported in a fixed ball, Fourier inversion and positivity
imply
Z
ρ(E)Bu(pspatial)dμ ≤K(R, M)u3,
Source page 295.
Searchable transcription
For E > 0, ρ(E) = (1 −cos E)/E ≥0, with ρ(0) = 0 and |ρ| ≤1. For 0 ≤E ≤1, the
inequality sin(Et) ≥2Et/π gives ρ(E) ≥E/π. Fubini applies since both measures are finite and
the integrands are bounded. It expresses D as the spatial Fourier transform of the sum of two
positive measures: ρ(E) dμ pushed to spatial momentum, and ρ(E) dν pushed to negative spatial
momentum. Moreover, |D(x)| ≤M, and D vanishes outside the radius-R ball.
Fix 0 < u ≤1 and a smooth nonnegative spatial bump Bu equal to one on |p| ≤u and supported
in |p| ≤2u, with Bu ≤1. Its Fourier transform is bounded in absolute value by the volume of the
radius-2u ball, hence by C3u3. Since D is supported in a fixed ball, Fourier inversion and positivity
imply
Z
ρ(E)Bu(pspatial)dμ ≤K(R, M)u3,

where the fixed positive Fourier normalization is absorbed into K. On the shell u/2 < E ≤u, the cone support gives |pspatial| ≤E ≤u, and ρ(E) ≥u/(2π). Thus

μ({u/2 < E ≤u}) ≤2πK(R, M)u2.
Source page 295.
Searchable transcription
μ({u/2 < E ≤u}) ≤2πK(R, M)u2.
Decompose 0 < E ≤u into the countable dyadic shells with upper endpoints u2−n.
The
corresponding masses sum to at most K’ u2 P
n4−n ≤2K′u2. This proves the low-energy bound
used below. The uniform total masses follow from continuity of the word norms on the compact
Source page 295.
Searchable transcription
Decompose 0 < E ≤u into the countable dyadic shells with upper endpoints u2−n.
The
corresponding masses sum to at most K’ u2 P
n4−n ≤2K′u2. This proves the low-energy bound
used below. The uniform total masses follow from continuity of the word norms on the compact
character space; those norms are table expectations of adjoint words concatenated with words. The
word-moment continuity, locality and spectral reconstruction in this chapter give these properties.
Let ν be a finite positive spectral measure supported in the forward cone, and let E(p) be its time
coordinate. Suppose ν({0 < E ≤u}) ≤Cu2 for u > 0. For s > 0 the identity e−sE =
R ∞
E se−st dt
on E > 0 and Tonelli’s theorem give
Z
Source page 296.
Searchable transcription
character space; those norms are table expectations of adjoint words concatenated with words. The
word-moment continuity, locality and spectral reconstruction in this chapter give these properties.
Let ν be a finite positive spectral measure supported in the forward cone, and let E(p) be its time
coordinate. Suppose ν({0 < E ≤u}) ≤Cu2 for u > 0. For s > 0 the identity e−sE =
R ∞
E se−st dt
on E > 0 and Tonelli’s theorem give
Z
E>0
exp(−sE)dν
= s
Z ∞
0
exp(−st)ν({0 < E ≤t})dt
≤Cs
Z ∞
0
t2 exp(−st)dt = 2Cs−2.
Source page 296.
Searchable transcription
E>0
exp(−sE)dν
= s
Z ∞
0
exp(−st)ν({0 < E ≤t})dt
≤Cs
Z ∞
0
t2 exp(−st)dt = 2Cs−2.

The final equality follows by substituting u = st and integrating u2 exp(−u) twice by parts. A bound initially supplied only for 0 < u ≤1 extends to all u by increasing C to at least ν(total), since u2 ≥1 for u ≥1. Applied to the scalar spectral measure of a word vector, this is the estimate for ⟨x, (exp(−sH) −P0)x⟩. It leaves the zero-energy atom separate throughout.

Continuity in the character is obtained from translation pairings. The characteristic function of
the scalar spectral measure νχ of a fixed sum of words is the inner product of that vector with its
translated vector. Both vectors are represented by fixed words with the same transported labels,
so the continuum table’s word-pair continuity gives continuity in χ at each translation. The total
masses νχ(total) have a common bound M. For a compact smooth momentum test g, Fourier
R g dνχ as a fixed Fourier normalization times the integral of the characteristic
inversion writes
function against the Schwartz function hat(g). The bound M|hat(g)| is integrable. Dominated
R g dνχ.
convergence therefore proves continuity of
Searchable transcription
Continuity in the character is obtained from translation pairings. The characteristic function of
the scalar spectral measure νχ of a fixed sum of words is the inner product of that vector with its
translated vector. Both vectors are represented by fixed words with the same transported labels,
so the continuum table’s word-pair continuity gives continuity in χ at each translation. The total
masses νχ(total) have a common bound M. For a compact smooth momentum test g, Fourier
R g dνχ as a fixed Fourier normalization times the integral of the characteristic
inversion writes
function against the Schwartz function hat(g). The bound M|hat(g)| is integrable. Dominated
R g dνχ.
convergence therefore proves continuity of

For the heat multiplier exp(−sE), use a smooth bump equal to one on the Euclidean ball of radius 2N and supported in the ball of radius 3N. On the forward cone, outside the smaller ball E ≥N. Thus the error in every phase is at most M exp(−sN), tending to zero uniformly in χ. The heat pairings are consequently uniform limits of the continuous compact-test pairings, and are continuous. These arguments supply the heat continuity and shell-to-heat steps used in the removal of exceptional characters. The preceding time-average argument supplies the shell bound; the compression-valued word construction below supplies continuity of the word pairings.

Removal of exceptional characters in vacuum uniqueness

From almost every phase to every phase The measure-theoretic argument first gives the relevant property outside a null set of characters. To obtain it at every character, one also needs continuity of the fixed probe readings and full support of the phase measure. A nonzero continuous violation would persist on a nonempty open set, which full support gives positive measure. The common countable probe family makes the exceptional set compatible before this continuity argument is applied. Almost-everywhere statements alone would not establish the asserted all-phase conclusion.

The phase measure has full support: every nonempty open subset of the compact character space has positive measure. Consequently a closed set containing almost every character is the whole space; otherwise its nonempty open complement would have both positive measure and measure zero.

For a finite sum of compactly supported words w let xχ be its vector in phase χ and Ωχ its vacuum. The construction supplies a common M ≥0 and, for almost every χ, a unique heat ground state together with the inverse-square estimate for the zero-energy-subtracted heat pairing. In those

phases the zero-energy projection Pχ is the vacuum projection. Indeed the heat attachment sends its range into the one-dimensional heat ground space; normalization and self-adjointness determine its scalar coefficient as ⟨Ωχ, x⟩. Thus for each s ≥1 almost every χ obeys

0 ≤⟨xχ, exp(−sHχ)xχ⟩−|⟨Ωχ, xχ⟩|2 ≤Ms−2.(4)
Source page 297.
Searchable transcription
0 ≤⟨xχ, exp(−sHχ)xχ⟩−|⟨Ωχ, xχ⟩|2 ≤Ms−2.(4)

For fixed s this pairing is continuous in χ, as is the vacuum overlap. The set where (4) holds is therefore closed. Full support extends (4) to every χ, with the same M. This step uses continuity of heat pairings, without first assuming continuity of the ground projections themselves. Fix χ and let s tend to infinity. The spectral theorem gives strong convergence exp(−sHχ) →Pχ for nonnegative Hχ. Equation (4) yields ⟨xχ, Pχxχ⟩= |⟨Ωχ, xχ⟩|2. Since Pχ is an orthogonal projection fixing Ωχ, expansion of the norm gives

∥Pχxχ −⟨Ωχ, xχ⟩Ωχ∥2
= ⟨xχ, Pχxχ⟩−|⟨Ωχ, xχ⟩|2 = 0.
Source page 297.
Searchable transcription
∥Pχxχ −⟨Ωχ, xχ⟩Ωχ∥2
= ⟨xχ, Pχxχ⟩−|⟨Ωχ, xχ⟩|2 = 0.

Thus Pχ acts as the vacuum projection on these compact word vectors. Approximate each Schwartz test in a word by compact cutoffs. Continuity of the joint smeared word map gives convergence of the word vectors, and boundedness of the two projections transfers their equality to every Schwartz word vector. Cyclicity and boundedness then extend it to the whole Hilbert space. This proves rank-one zero energy in every character, supplying the vacuum-projection heat limit used in the weak-commutant argument. The low-energy estimate, character probability construction, heat-pairing continuity and attachment arguments in this chapter provide the ingredients used here.

Propagation of analytic limits on a complex slice

Here is the analytic limit argument needed when continuing strict Euclidean values to real-time slices. Let U ⊂C be open and connected, let Fa be eventually holomorphic on U, and suppose that at each x ∈U some ball B(x, r) has a common bound |Fa| ≤A on a tail of the indexing filter. The tail may depend on the ball. If a holomorphic f is the pointwise limit on a subset accumulating at an interior point of U, then Fa(y) →f(y) at every y ∈U.

First derive the requisite local equicontinuity. Choose s > 0 with B(x, s) ⊂U, put t = min(r, s)/2, and D = max(1, A/t). For z ∈B(x, t), the closed disc of radius t about z lies in B(x, r)∩ U. The Cauchy derivative estimate gives |F ′ a(z)| ≤A/t ≤D on the common tail. Integration along the segment from x to y ∈B(x, t) yields

|Fa(y) −Fa(x)| ≤D|y −x|.
Source page 297.
Searchable transcription
|Fa(y) −Fa(x)| ≤D|y −x|.

If Fa has pointwise limit g throughout U, passing to the limit gives the identical local Lipschitz estimate for g. Given ε > 0, restrict further to |y −x| < ε/(4D) and use |Fa(x) −g(x)| < ε/4. The triangle inequality proves local uniform convergence to g; hence g is holomorphic.

To remove the assumption of an everywhere pointwise limit, pass to an arbitrary ultrafilter finer than the original filter. Each scalar family Fa(z) is eventually in a compact closed disc, so this ultrafilter has a limit g(z) for every z ∈U. The preceding argument makes g holomorphic. At every point of the prescribed accumulation set its value equals f, by uniqueness of scalar limits. The identity theorem gives g = f throughout U. Thus every finer ultrafilter converges to f(y), proving convergence along the original filter. This argument applies equally to the boundary-height filter and to limits of phase characters, and uses only local bounds on tails.

Source: A Wilson Yang–Mills Construction: A Natural-Language Mathematical Exposition. Both papers belong to one Zenodo record. No external funding.