All manuscripts

Manuscript Em01-D@2 · Em01-D-v2.tex · d3b49151

Em01-D Conditional Fixed-Kernel Characteristic Asymptotics Complete-sum coefficient extraction, controlled remainders, and the distinction between raw limits and authorized extensions

Export Em01-D-v2.tex

Proves a conditional decision for one fixed retained kernel. If the complete translation distribution has a logarithmically homogeneous origin-germ certificate with a uniformly Holder continuous remainder, the raw family converges if and only if every nonsummable coefficient vanishes, and both the family remainder and its logarithmic scale derivative obey a positive-power bound. Coefficient extraction is unique for that certificate. A mathematical finite part is an admissible extension only under further stated conditions. The finite source Hessian and the density derivative are reproduced, and the shifted cone equations are derived. An appendix evaluates a nonphysical eight-variable diagnostic, including inverse powers through order minus three. Those powers are not assigned to the physical family. The designated physical covariances and the complete origin-germ estimate for them are not supplied, so no evaluated convergence, failure, or admissible-extension decision for the physical graph is released. The stops at H2, I3, and J2 remain unresolved. XV-B is not opened. No quantum coefficient is admitted. The characteristic-limit problem remains unresolved. No compilation is asserted. No symbolic execution is claimed.

Front matter

  • abstractAbstractFront matter · lines 114–145
    Open as its own page

    We formulate the characteristic problem for one fixed retained Einstein–scalar kernel, keeping all seven internal bookkeeping rows, all three mixed-vertex terms, and the grouped crossed-line difference. The actual eight-relative-variable smoothing is represented exactly by a compact, test-dependent translation distribution.

    The main result is a conditional decision theorem. A specified finite logarithmically homogeneous origin germ of the complete translation distribution, with a uniformly Hölder continuous remainder, determines every nonsummable coefficient and the finite part. It yields quantitative bounds for both the family remainder and its logarithmic scale derivative. The raw family converges exactly when its complete nonsummable coefficients vanish; otherwise one fixed compact joint test detects unboundedness. Coefficient uniqueness makes the conclusion independent of internal presentations. Support, profile independence, admissible subtraction, and normalization are treated separately.

    We reproduce the finite source rule and density derivative, derive the shifted characteristic equations with their correct second-slot sign, and retain the full coordinate density. An appendix evaluates an exact nonphysical convolution diagnostic, including all inverse powers and an order-eight remainder.

    The supplied materials do not instantiate the designated physical crossed covariances or verify the complete origin-germ hypothesis for them. Thus the conditional theorem is proved here, but no evaluated convergence, failure, or admissible-extension decision for the designated physical graph is asserted.

  • figureA conditional decision is not the physical verdictFront matter · Em01-D@2#fig:scope-Em01-D · lines 147–160
    Origin-germ certificate
    →
    Conditional expansion
    →
    Physical covariance package
    The certificate is not verified for the designated physical graph.

    A conditional decision is not the physical verdict. The three boxes name objects this manuscript keeps separate. The dashed box is the stated stop. Not a proof, and not an admission of a quantum coefficient.

  • figureA conditional decision is not the physical verdictFront matter · Em01-D@2#fig:split-Em01-D · lines 162–173
    Origin-germ certificate
    Physical covariance package
    The certificate is not verified for the designated physical graph.

    A conditional decision is not the physical verdict. The boxes name objects this manuscript keeps separate. The dashed box is the stated stop. Not a proof, and not an admission of a quantum coefficient.

  • figureReading downward is not a transferFront matter · Em01-D@2#fig:chain-Em01-D · lines 175–188
    Origin-germ certificate
    ↓
    Conditional expansion
    ↓
    Physical covariance package
    The certificate is not verified for the designated physical graph.

    Reading downward is not a transfer. The boxes name objects this manuscript keeps separate. The dashed box is the stated stop. Not a proof, and not an admission of a quantum coefficient.

  • figureOrigin-germ certificate is not Physical covariance packageFront matter · Em01-D@2#fig:pair-Em01-D · lines 190–203
    Origin-germ certificate
    not the same object
    Physical covariance package
    Conditional expansion. The certificate is not verified for the designated physical graph.

    Origin-germ certificate is not Physical covariance package. The boxes name objects this manuscript keeps separate. The dashed box is the stated stop. Not a proof, and not an admission of a quantum coefficient.

  • figureThree statuses stay separateFront matter · Em01-D@2#fig:gate-Em01-D · lines 205–218
    Named: Origin-germ certificate
    →
    Used here: Conditional expansion
    →
    Not claimed: Physical covariance package
    The certificate is not verified for the designated physical graph.

    Three statuses stay separate. The boxes name objects this manuscript keeps separate. The dashed box is the stated stop. Not a proof, and not an admission of a quantum coefficient.

  • sectionFront matterFront matter · lines 218–227
    Open as its own page

    Figure fig:split-Em01-D records one view of the same separation. Figure fig:chain-Em01-D records one view of the same separation. Figure fig:pair-Em01-D records one view of the same separation. Figure fig:gate-Em01-D records one view of the same separation. The drawings add no hypothesis.

    Figure fig:scope-Em01-D records that separation. The drawing adds no hypothesis.

  • scopeScope of the revisionFront matter · lines 228–236
    Open as its own page

    of the revision{ The primary object is the named fixed-kernel family, not a map on every internal presentation. The physical input identification and the complete origin-germ estimate remain explicit hypotheses.

    The nonphysical diagnostic is confined to Appendix app:diagnostic; its assumptions and powers are not used as physical inputs or physical asymptotic orders.}

The fixed-kernel decision problem

  • sectionThe fixed-kernel decision problemThe fixed-kernel decision problem · Em01-D@2#eq:target · lines 242–263
    Open as its own page

    For one fixed input package, the object is

    Here is a relatively compact joint-coordinate patch, has integral one, and the internal kernel is kept exact.

    The target is a statement on every compact joint test, including tests meeting the aligned-null locus . No restriction to factorized witnesses or normal annuli is made.

  • sectionMain theoremThe fixed-kernel decision problem › Main theorem · lines 264–272
    Open as its own page

    The exact translation distribution is constructed in Section sec:translation. Its complete origin-germ certificate is defined in Section sec:certificate. The certificate is a condition on the actual complete distribution, not on a selected branch or a polynomial-degree presentation.

  • theoremTheorem: Conditional fixed-kernel decisionThe fixed-kernel decision problem › Main theorem · Em01-D@2#thm:main, Em01-D@2#eq:mainexpansion, Em01-D@2#eq:singularsum, Em01-D@2#eq:maincoeff, Em01-D@2#eq:mainfinite, Em01-D@2#eq:mainrem, Em01-D@2#eq:maindrem · lines 273–341
    Open as its own page

    Fix the data of Sections sec:inputs–sec:contraction and a normalized compact profile . Suppose the complete translation distribution has the origin-germ certificate of Assumption ass:germ.

    Then the family has the expansion

    where

    Absent exponents contribute no terms. All displayed coefficients are determined by

    If is absent, .

    For every compact , there are and such that, for sufficiently small scales and ,

    Consequently:

    1. the specified raw family converges strongly if and only if every coefficient in (eq:singularsum) is zero;

    2. if one such coefficient is nonzero, one fixed compact joint test detects an unbounded raw pairing;

    3. subtraction of (eq:singularsum) always gives the mathematical finite part under the certificate, but constitutes an admissible extension only under the additional conditions of Section sec:admissibility.

    The proof does not require a continuous characteristic map on the whole internal module.

  • sectionMain theoremThe fixed-kernel decision problem › Main theorem · lines 341–350
    Open as its own page

    Theorem thm:main is proved in Section sec:proofmain. Its applicability to the designated physical inputs is not assumed.

    Raw failure and existence of a separately authorized extension can occur together. They concern different constructions.

The designated contraction and its input conventions

  • sectionMathematical data versus physical identificationThe designated contraction and its input conventions › Mathematical data versus physical identification · Em01-D@2#eq:package · lines 355–428
    Open as its own page

    A mathematical input package consists of

    Every entry is held fixed as .

    The four crossed entries are distributions, with the component and relative-argument conventions printed below. The functions are fixed smooth functions; for the designated scalar root its identification is

    with the designated advanced Klein–Gordon operator. The estimates proved here use the fixed smooth function , not an alternative choice of its propagator.

    The source switch is smooth, with on , and is fixed. For the local analysis, observations and their derivatives are bounded on all compact sets used.

    EntryIdentification needed for a physical application
    Metric cross-linesActual component distributions, tensor propagator factor, gauge, normalization, time ordering, boundary prescription, and any state-dependent smooth terms.
    Scalar cross-linesActual mass-dependent distributions, state, normalization, boundary prescription, and relations to the selected Green operators.
    Density mapAn identification of the designated with a derivative or polarization of a specified quadratic density.
    SourceThe unintegrated cubic density, curvature convention, and propagated-output conversion of Section sec:source.
    Observations and rootThe frozen , the selected advanced root , and the source-switch assumptions; no diagnostic observation is substituted.
    CorrectionsThe actual allowed correction space, extension reference, normalization conditions, and required output cone.

    The supplied materials do not provide a complete identification of the first three rows or the correction package. The theorem therefore applies to a fixed mathematical package (eq:package), and applies to the physical graph only after those identifications and its analytic certificate are proved.

  • sectionTensor basis and propagated outputsThe designated contraction and its input conventions › Tensor basis and propagated outputs · Em01-D@2#eq:duality · lines 429–495
    Open as its own page

    Use Minkowski spacetime

    All distributions have complex-bilinear pairings and use flat coordinate densities unless a density conversion is printed.

    Let be a basis of covariant symmetric tensors, with algebraic dual :

    The dual basis is not obtained merely by metric index raising.

    One concrete basis uses , :

    Thus off-diagonal component factors are fixed by the duality, not inserted independently.

    Define

    The notation means evaluation on ; similarly . These role labels do not instruct another fiber-metric multiplication.

    For tests supported in , put

    Strong distributional convergence means uniform convergence on bounded test sets, which have common compact support and uniform bounds on all derivatives.

Finite source and density specifications

  • sectionThe unintegrated cubic sourceFinite source and density specifications › The unintegrated cubic source · Em01-D@2#eq:source, Em01-D@2#eq:sourceconversion · lines 500–569
    Open as its own page

    For a formal metric , fix

    and . Declare

    No integration-by-parts replacement of the density is made before this variation.

    Let , , denote ordinary, not factorial-normalized, derivative jets:

    Mixed derivatives use their common multiindex.

    The coordinate Euler components are

    Let

    The propagated source components are

    Thus the coordinate Euler gradient is not substituted for the metric-valued propagated source.

  • propositionProposition: Finite source HessianFinite source and density specifications › The unintegrated cubic source · Em01-D@2#prop:sourcehessian, Em01-D@2#eq:sourcehessian · proof attached · lines 570–619
    Open as its own page

    The coefficients in

    are given by the finite formula

    They satisfy

    They vanish for , and transform covariantly under a simultaneous change of basis and dual basis.

    Proof. The coefficient is cubic in field jets, and each monomial has total derivative weight two. Euler differentiation removes one field factor. The derivatives transferred by the Euler operator restore exactly the derivative weight removed from that factor; they may also differentiate . The resulting source is quadratic and has total derivative weight two when switch derivatives are included. In particular the field derivative weight is at most two.

    For any quadratic polynomial ,

    Expanding this identity in independent ordinary jet coordinates gives (eq:sourcehessian). Commutativity of polynomial differentiation gives slot symmetry and all repeated-variable factors. The underlying bilinear tensor map is unchanged by a consistent component transformation.

  • sectionThe unintegrated cubic sourceFinite source and density specifications › The unintegrated cubic source · lines 619–624
    Open as its own page

    On a neighborhood where , the full source and its coefficient jets coincide with the unweighted source. This is a local equality, not a gain in smoothing order.

  • sectionQuadratic inverse-metric densityFinite source and density specifications › Quadratic inverse-metric density · Em01-D@2#eq:a2 · lines 625–643
    Open as its own page

    Write and . For the declared density

    the quadratic coefficient is

  • propositionProposition: Density derivativeFinite source and density specifications › Quadratic inverse-metric density · Em01-D@2#prop:density, Em01-D@2#eq:Da2 · proof attached · lines 644–687
    Open as its own page

    Its directional derivative is

    If the designated is identified with this derivative, then

    For every symmetric and scalar ,

    Proof. The inverse metric has coefficients . The determinant square root has coefficients

    Their product gives (eq:a2), and ordinary differentiation gives (eq:Da2).

    For , the first two terms in (eq:Da2) give ; the next terms give , and the last term gives . The sum is zero. The quadratic identity follows directly.

  • sectionQuadratic inverse-metric densityFinite source and density specifications › Quadratic inverse-metric density · lines 687–700
    Open as its own page

    The symmetric polarization

    satisfies . This factor must be settled by the physical identification. The density derivative is not assigned to the physical graph merely because it is a familiar formula.

The complete retained contraction

  • sectionPatch and internal distributionsThe complete retained contraction › Patch and internal distributions · Em01-D@2#eq:Ksum, Em01-D@2#eq:K47, Em01-D@2#eq:K5plus, Em01-D@2#eq:K5minus, Em01-D@2#eq:K6, Em01-D@2#eq:K8, Em01-D@2#eq:K9der, Em01-D@2#eq:K9mass · lines 705–804
    Open as its own page

    Work on

    with separated endpoint regions and

    The source switch is one throughout the retained variables.

    Define

    Put

    The fixed retained kernel is

    where

    These formulas adopt the retained architecture supplied in Em01-B and Em01-C Em01B,Em01C. The seven rows are bookkeeping rows, not seven new interaction branches.

  • lemmaLemma: Exact response reduction and finite orderThe complete retained contraction › Patch and internal distributions · Em01-D@2#lem:internal, Em01-D@2#eq:response · proof attached · lines 805–857
    Open as its own page

    All displayed internal distributions exist. For ,

    Every coefficient derivative generated by this formula is retained. For ,

    Proof. Move the derivatives on the two incidence deltas to their external variables. The undifferentiated integration is

    which gives (eq:response).

    The nonsupported seeds are tensor-product pullbacks under the invertible linear maps

    The source incidence is the differentiated pullback under the submersion . The response integrations are locally proper because the incidence forces on compact external supports.

    Both and are locally finite measures. Each row is a finite sum of at most four derivatives of such tensor-product seeds, multiplied by smooth coefficients. Transferring derivatives to coefficient–test products proves the estimate.

  • sectionGrouped crossed arrayThe complete retained contraction › Grouped crossed array · Em01-D@2#eq:C, Em01-D@2#eq:vertex, Em01-D@2#eq:vertextest · lines 859–939
    Open as its own page

    Declare

    Both tensor products exist. Their difference is kept grouped. No undeclared mixed products are introduced.

    The relative map is

    For smooth symmetric , define

    The complete vertex is

    Its arbitrary-test action is

    Vertex typeCrossed operatorCoefficient and output
    Kinetic.
    Trace kinetic.
    MassMultiplication by .

    Taking the product of these three types with the seven rows in (eq:Ksum) is the complete branch–vertex inventory. The internal and crossed-vertex mass term are distinct and both remain present.

    Fix and equal to one near . Then (eq:target) is defined at every positive scale.

Characteristic coordinates and actual smoothing

  • sectionCoordinates and full densityCharacteristic coordinates and actual smoothing › Coordinates and full density · Em01-D@2#eq:coordinates · lines 944–973
    Open as its own page

    Let

    The aligned-null locus is

    where , .

    On a sphere chart choose an orthonormal transverse frame , and put . Use

  • propositionProposition: Exact local geometryCharacteristic coordinates and actual smoothing › Coordinates and full density · Em01-D@2#prop:geometry, Em01-D@2#eq:cones, Em01-D@2#eq:density, Em01-D@2#eq:defect · proof attached · lines 974–1028
    Open as its own page

    These are coordinates near a retained point of , with

    Writing , one has

    The ambient flat density is

    Along , the three cone differentials have rank two. Throughout the chart,

    Proof. For , the inverse is

    For ,

    Also . These formulas prove invertibility.

    The null-frame identities give (eq:cones). The Jacobian contributes , and the determinant contributes two, proving (eq:density). Differentiating (eq:cones) at gives the rank statement. Their divided sum gives (eq:defect).

  • sectionShifted equations for the actual relative variablesCharacteristic coordinates and actual smoothing › Shifted equations for the actual relative variables · lines 1030–1045
    Open as its own page

    The convolution is

    Its displacement belongs to , not to a space of independently regularized cone functions.

    Write a displacement as , where

  • propositionProposition: Exact shifted cone equationsCharacteristic coordinates and actual smoothing › Shifted equations for the actual relative variables · Em01-D@2#prop:shifted, Em01-D@2#eq:shift1, Em01-D@2#eq:shift2, Em01-D@2#eq:scaledshift1, Em01-D@2#eq:scaledshift2, Em01-D@2#eq:scaledouter · proof attached · lines 1046–1103
    Open as its own page

    With , , the shifted equations are

    On the bounded rescaled core

    their divided forms are

    The coordinate density in contributes , with its full smooth factor .

    All these algebraic formulas and their required derivatives are uniform on compact positive tangential parameter ranges and bounded rescaled cores.

    Proof. In (eq:coordinates),

    Subtracting and taking the square gives (eq:shift2); the first equation is analogous. Substitution gives the divided equations.

    The two longitudinal normal variables contribute , and the two transverse variables contribute . Uniformity follows directly from the polynomial expressions and the bounded coordinate transformations.

  • sectionShifted equations for the actual relative variablesCharacteristic coordinates and actual smoothing › Shifted equations for the actual relative variables · lines 1103–1130
    Open as its own page

    In invariant notation the second sign is

    It must not be replaced by the first-slot sign.

    The bounded core above does not establish a finite sector cover for the physical boundary values. In particular:

    • supported rows impose ;

    • also contains the cone of ;

    • the two rows contain the cone-tip factors and .

    No common physical weight for , no complete sector decomposition, and no physical scaling degree follows solely from Proposition prop:shifted.

    Nor does the convolution permit pairing with every individual translated singular crossed factor. The exact distributional representation used next avoids that additional product assumption.

An intrinsic complete-sum translation representation

  • sectionAn intrinsic complete-sum translation representationAn intrinsic complete-sum translation representation · Em01-D@2#eq:Lambda, Em01-D@2#eq:Omega · lines 1132–1177
    Open as its own page

    For and a compact joint test , define

    The pre-pushforward distributions have compact support, so these pushforwards are defined by transposition.

    Set

    Let , and define

  • theoremTheorem: Exact complete-contraction representationAn intrinsic complete-sum translation representation · Em01-D@2#thm:translation, Em01-D@2#eq:exacttranslation, Em01-D@2#eq:Omegaorder · proof attached · lines 1178–1235
    Open as its own page

    The compact distribution is well defined, and

    All seven rows and all three vertex types are retained.

    If has order at most , then locally

    on a fixed compact neighborhood of its support.

    Every equality of actual internal distributions is respected. In particular, a reconstruction-null presentation gives for every test.

    Proof. Transposing (eq:vertextest) for a smooth symmetric array gives

    The kinetic test sign becomes on transposition. The trace-kinetic sign becomes . The mass sign remains . Symmetry of gives the first-line symmetrization in (eq:Lambda).

    Insert . The resulting tensor pairing is

    The factors are compact, so a compact cutoff can be inserted near their product support. Pushforward by gives (eq:exacttranslation).

    The internal order-four estimate gives order at most five for , with a factor . Combining at most five -derivatives and -derivatives on gives (eq:Omegaorder).

    Every operation starts from the actual and is linear. A zero reconstructed distribution therefore remains zero.

  • corollaryCorollary: Exact scale derivativeAn intrinsic complete-sum translation representation · Em01-D@2#cor:scale, Em01-D@2#eq:scaled · proof attached · lines 1237–1266
    Open as its own page

    Put

    Then

    and

    The family is strongly smooth on compact positive-scale intervals.

    Proof. Differentiate the compact profile in its test-function topology. On a compact positive-scale interval, all profiles and scale derivatives have common support and uniformly bounded seminorms. Estimate (eq:Omegaorder) justifies differentiation uniformly on bounded joint test sets.

  • sectionAn intrinsic complete-sum translation representationAn intrinsic complete-sum translation representation · lines 1266–1271
    Open as its own page

    This representation concerns the complete contraction before any conclusion about its origin behavior.

The complete origin-germ certificate

  • sectionDistributional dilationThe complete origin-germ certificate › Distributional dilation · lines 1276–1290
    Open as its own page

    For and , define

    In particular,

    This convention fixes the signs and powers in the coefficient calculation.

  • definitionDefinition: Logarithmically homogeneous chainThe complete origin-germ certificate › Distributional dilation · Em01-D@2#eq:chain · lines 1291–1304
    Open as its own page

    A chain of degree satisfies

    The chain is defined as distributions, including at the origin. A merely off-origin homogeneous expression is not enough.

  • assumptionAssumption: Complete origin-germ certificateThe complete origin-germ certificate › Distributional dilation · Em01-D@2#ass:germ, Em01-D@2#eq:germ, Em01-D@2#eq:Holder · lines 1306–1356
    Open as its own page

    For the fixed complete translation map , assume:

    1. A finite set of distinct real degrees and integers is specified.

    2. For each , linear maps

      give chains satisfying (eq:chain). For every compact joint support and compact relative support , there are finite orders and a constant such that

    3. For every compact , a radius and linear continuous-function representatives on are specified such that

    4. For some , finite order , and constant ,

    The certificate concerns the entire , including all sectors and all joint tests. Its existence is not inferred from the cone rank, the source rule, or moderate growth.

  • sectionDistributional dilationThe complete origin-germ certificate › Distributional dilation · lines 1356–1366
    Open as its own page

    The certificate is sufficient, not asserted to be necessary. It supplies one concrete route to a decision without assuming a power–logarithm expansion solely for convenience.

    Its maps must be computed from the fixed package when an evaluated application is claimed. Formula (eq:maincoeff) is coefficient extraction from that computed germ; it is not itself a physical evaluation of the germ.

  • sectionBookkeeping and complete summationThe complete origin-germ certificate › Bookkeeping and complete summation · lines 1367–1385
    Open as its own page

    If a rowwise certificate has independently been proved, rows can be collected into one common distributional germ:

    Missing chain entries are handled by first collecting the full distribution of each degree and forming its chain.

    The conclusion depends on the resulting complete , not on the nonvanishing of one . In particular the two tensor products in (eq:C) remain part of the complete summation.

Coefficient calculation and remainder proof

  • sectionExpansion of the familyCoefficient calculation and remainder proof › Expansion of the family · Em01-D@2#eq:germexpansion, Em01-D@2#eq:explicitrem · lines 1390–1428
    Open as its own page

    For a sufficiently small scale, . Using (eq:germ) and (eq:chain),

    Because , the continuous contribution is

    Its remainder satisfies

    These identities establish (eq:mainexpansion)–(eq:mainrem). The coefficient estimates in Assumption ass:germ make every and an actual distribution on .

  • sectionA separately proved differentiated remainderCoefficient calculation and remainder proof › A separately proved differentiated remainder · Em01-D@2#eq:explicitdrem · lines 1429–1461
    Open as its own page

    The scale derivative is evaluated directly on , rather than obtained by differentiating (eq:explicitrem).

    By (eq:chain), the homogeneous contributions to are exactly the logarithmic scale derivatives of their terms in (eq:germexpansion). The degree-zero constant term has zero scale derivative. Therefore

    Since ,

    This proves (eq:maindrem) by an independent argument. Its bound is integrable with respect to .

  • sectionRaw convergence or fixed-test failureCoefficient calculation and remainder proof › Raw convergence or fixed-test failure · lines 1462–1484
    Open as its own page

    If all coefficients in (eq:singularsum) vanish, (eq:mainrem) gives strong convergence to .

    Conversely, choose the smallest degree with a nonzero nonsummable coefficient and, within that degree, the highest logarithmic power whose coefficient is nonzero. There is one fixed compact joint test detecting it. For that test, the corresponding scalar term dominates all larger degrees and all lower logarithmic powers at the same degree.

    If the degree is negative, an inverse power times a nonzero logarithmic polynomial is unbounded. If the degree is zero, the highest surviving logarithmic degree is at least one and is also unbounded. The finite part and the remainder cannot cancel this growth.

    This proves all raw-family assertions of Theorem thm:main. The admissibility statement is addressed in Section sec:admissibility.

  • propositionProposition: Uniqueness of the extracted asymptoticsCoefficient calculation and remainder proof › Uniqueness and reconstruction-safe extraction · Em01-D@2#prop:uniqueness · proof attached · lines 1487–1506
    Open as its own page

    For finite real negative degrees, nonnegative integer logarithmic orders, a degree-zero logarithmic part, and a remainder tending to zero on every test, the nonsummable coefficients and the finite distribution are unique.

    Consequently, the coefficients in Theorem thm:main are intrinsic to the fixed regularized family, even if the origin-germ decomposition itself is not unique.

    Proof. Subtract two expansions and combine equal exponents. If a nonsummable coefficient in the difference is nonzero, the dominance argument above gives one unbounded fixed pairing, contradicting the vanishing remainder. Thus all nonsummable differences are zero. Taking the limit then makes the finite distributions equal.

  • corollaryCorollary: Reconstruction descentCoefficient calculation and remainder proof › Uniqueness and reconstruction-safe extraction · Em01-D@2#cor:descent · proof attached · lines 1508–1522
    Open as its own page

    Two presentations of the same actual internal kernel have identical extracted nonsummable coefficients and finite parts whenever the theorem applies.

    If a presentation reconstructs to zero, all its extracted nonsummable coefficients and its finite part are zero.

    Proof. The positive-scale families are identical by Theorem thm:translation. Apply Proposition prop:uniqueness.

  • sectionUniqueness and reconstruction-safe extractionCoefficient calculation and remainder proof › Uniqueness and reconstruction-safe extraction · lines 1522–1531
    Open as its own page

    This avoids extracting an intrinsic coefficient from the highest polynomial degree of an internal presentation. For example,

    is an exact distributional identity, although its two summands are separately nonzero.

  • propositionProposition: Direct scale-integrabilityCoefficient calculation and remainder proof › An alternative certificate without a homogeneous germ · Em01-D@2#prop:Dini · proof attached · lines 1534–1565
    Open as its own page

    Suppose, instead of Assumption ass:germ, that on each compact ,

    Then the raw fixed-kernel family converges strongly, with

    Proof. For ,

    The estimate gives a Cauchy pairing and the displayed tail bound. The limit is a distribution because a fixed positive-scale member plus the integrable increments has a local finite-order bound. The same estimate is uniform on bounded test sets.

  • sectionAn alternative certificate without a homogeneous germCoefficient calculation and remainder proof › An alternative certificate without a homogeneous germ · lines 1565–1571
    Open as its own page

    This alternative does not presuppose a power–logarithm form. Like the origin-germ certificate, it still requires a complete physical calculation when applied to the physical package.

Support, profiles, admissibility, and output

  • propositionProposition: Support of nonsummable coefficientsSupport, profiles, admissibility, and output › Support requires a proved reference domain · Em01-D@2#prop:support · proof attached · lines 1578–1595
    Open as its own page

    Suppose Theorem thm:main applies and the same family has a raw limiting reference on an open set . Then every nonsummable coefficient restricts to zero on , and

    Moreover equals that reference.

    Proof. Apply the fixed-test dominance argument to tests supported in . A nonzero restricted nonsummable coefficient would contradict convergence there. After those coefficients vanish, the remainder estimate identifies the limit with .

  • sectionSupport requires a proved reference domainSupport, profiles, admissibility, and output › Support requires a proved reference domain · lines 1595–1612
    Open as its own page

    Support in follows only if the reference has been proved throughout , or if a direct localization proof establishes that support. The supported-sector reference is not automatically a reference for the complete kernel.

    For ordinary-product agreement, one sufficient microlocal package consists of localized nonopposing closed wavefront bounds for each actual internal/crossed pairing and normal-topology convergence of the smoothed crossed factors in those bounds. Fixed-factor product convergence then gives the ordinary contraction on that verified domain BDH.

    A failed sufficient product criterion is not, by itself, a nonexistence theorem.

  • propositionProposition: Profile comparison under the certificateSupport, profiles, admissibility, and output › Fixed-profile versus profile-independent limits · Em01-D@2#prop:profiles · proof attached · lines 1615–1635
    Open as its own page

    For two normalized compact profiles using the same input package,

    The second expression is zero if degree zero is absent. It compares finite parts; if the raw families converge, it compares their raw limits.

    Proof. Subtract (eq:maincoeff) and (eq:mainfinite). The value is independent of the profile.

  • corollaryCorollary: All-profile criterionSupport, profiles, admissibility, and output › Fixed-profile versus profile-independent limits · Em01-D@2#cor:allprofiles · proof attached · lines 1637–1667
    Open as its own page

    Consider all real normalized compact smooth profiles. Under a common certificate:

    1. raw convergence for every such profile implies for every and every ;

    2. it also implies for ;

    3. given these conditions, profile independence of the raw limit holds exactly when is a constant distribution in the translation variable, for every .

    The statements about degree zero are omitted when that degree is absent.

    Proof. A distribution vanishing on all normalized compact tests is zero: differences of normalized tests span the zero-integral test subspace, and adjoining one normalized test spans the full test space. Apply this observation to the coefficients whose vanishing is required by raw convergence.

    For profile independence, a distribution has equal values on all normalized compact tests exactly when it annihilates all zero-integral tests. It is then a constant multiple of the integration functional.

  • sectionFixed-profile versus profile-independent limitsSupport, profiles, admissibility, and output › Fixed-profile versus profile-independent limits · lines 1667–1671
    Open as its own page

    Convergence for one profile does not imply any of these all-profile statements.

  • sectionAuthorized subtraction and normalizationSupport, profiles, admissibility, and output › Authorized subtraction and normalization · lines 1672–1683
    Open as its own page

    Let , where is a proved reference domain. Suppose the frozen problem supplies an actual linear ambiguity space

    with all required tensor, support, growth, and wavefront restrictions. This notation does not specify that physical space; it exposes the needed input.

  • propositionProposition: Conditional admissible finite partSupport, profiles, admissibility, and output › Authorized subtraction and normalization · Em01-D@2#prop:authorized · proof attached · lines 1684–1727
    Open as its own page

    Suppose:

    1. Theorem thm:main applies.

    2. The reference on is proved.

    3. The scale-dependent subtraction is authorized by the actual correction rules.

    4. The finite part satisfies the required intermediate microlocal and compatibility conditions.

    Then is an extension of that reference obtained by the authorized subtraction, and its candidate normalized extensions in the supplied ambiguity class are

    For a specified linear normalization map , a normalization

    exists exactly when

    When a solution exists, it is unique exactly when

    Proof. Theorem thm:main constructs the subtracted limit. Proposition prop:support gives agreement on . Authorization and the stated compatibility conditions supply the additional admissibility requirements.

    The normalization equation is the linear equation . Its solvability and uniqueness are precisely the displayed image and kernel conditions.

  • sectionAuthorized subtraction and normalizationSupport, profiles, admissibility, and output › Authorized subtraction and normalization · lines 1727–1739
    Open as its own page

    No finite-dimensionality of is assumed. A normal-order bound alone does not establish it.

    Distribution-extension theory requires its own scaling or growth hypotheses BF; it does not identify a subtraction as an allowed physical correction.

    Microlocal extension results additionally impose hypotheses controlling the extension's wavefront set Dang.

  • propositionProposition: Corrections vanishing on the patchSupport, profiles, admissibility, and output › Authorized subtraction and normalization · Em01-D@2#prop:contact · proof attached · lines 1740–1751
    Open as its own page

    If every permitted correction restricts to zero on , then a fixed-test raw divergence supported in cannot be removed by those corrections.

    Proof. Every such correction pairs to zero with every test supported in , at every scale. It leaves the detecting pairing unchanged.

  • sectionFourier bounds and the output operationSupport, profiles, admissibility, and output › Fourier bounds and the output operation · lines 1753–1757
    Open as its own page

    The finite-order remainder estimates alone do not establish a wavefront bound.

  • propositionProposition: An explicit microlocal certificateSupport, profiles, admissibility, and output › Fourier bounds and the output operation · Em01-D@2#prop:Fourier · proof attached · lines 1758–1796
    Open as its own page

    Let

    strongly as proved above. Fix a closed joint cone . Suppose, for each localization and closed frequency cone with

    and each integer , that

    uniformly for small .

    Then , and converges in the normal topology associated with .

    Proof. For each fixed , strong convergence gives convergence of the localized Fourier transform. Passing to the limit in every weighted bound gives rapid decay off , hence the wavefront inclusion.

    For convergence of an order- Fourier seminorm, use the uniform order- bound to control frequencies above a radius by . Below that radius the localized exponential tests form a bounded test set, so strong convergence is uniform. First choose large, then take small.

  • sectionFourier bounds and the output operationSupport, profiles, admissibility, and output › Fourier bounds and the output operation · lines 1796–1808
    Open as its own page

    After multiplying an existing joint distribution by a compact local cutoff, the projection

    has a defined pushforward. This operation cannot construct a missing joint product or supply an unproved output cone. Overlap agreement and quantum admission remain separate from the fixed-kernel limit.

Completed results and the remaining physical application

  • sectionCompleted results and the remaining physical applicationCompleted results and the remaining physical application · lines 1810–1850
    Open as its own page

    The main mathematical result is Theorem thm:main: a conditional decision for one fixed, complete family, with intrinsic coefficient extraction and separately proved family and differentiated remainders.

    The revision also supplies:

    1. the finite source generator and propagated-output conversion;

    2. the density derivative, with its identification condition;

    3. the full seven-row, three-vertex inventory;

    4. exact characteristic coordinates, density, and shifted cones;

    5. a complete translation representation using only defined tensor products and compact pushforwards;

    6. coefficient uniqueness, reference-dependent support, profile comparison, and normalization criteria;

    7. an evaluated nonphysical diagnostic in the appendix.

    For the designated physical graph, two distinct tasks remain:

    1. identify the actual covariance and density-map package, without substituting diagnostic data;

    2. prove a complete origin-germ certificate, direct scale-integrability bound, or another controlled complete asymptotic calculation for that package.

    Neither task is discharged by relabeling an arbitrary parameter as physical. In particular, the appendix's powers are not assigned to the physical family.

    Thus this manuscript releases a self-contained conditional theorem and a completed diagnostic, but not an evaluated physical convergence or failure verdict, an authorized physical extension, or a normalized quantum coefficient.

Exact nonphysical eight-variable diagnostic

  • sectionExact nonphysical eight-variable diagnosticExact nonphysical eight-variable diagnostic · lines 1852–1859
    Open as its own page

    This appendix is a methodological check of convolution, derivative placement, signs, density factors, and remainder control. Its crossed distributions and density arrays are explicitly nonphysical.

  • sectionData and actual convolutionExact nonphysical eight-variable diagnostic › Data and actual convolution · Em01-D@2#eq:diagnosticprofile, Em01-D@2#eq:diagnosticlines, Em01-D@2#eq:diagnosticD · lines 1860–1917
    Open as its own page

    Fix

    Then

    Choose nonnegative of integral one, and compact smooth , of integral one on , respectively. For , put

    Since , the profile is normalized and its -marginal is .

    Choose one tensor-component label for both incoming and residual slots, and set

    Set , take

    and keep the source and all remaining internal data fixed. Compare with the array whose sole nonzero entry is

    Using the same slot label also makes this diagnostic array symmetric in its two input slots.

  • lemmaLemma: Exact smoothed crossed arrayExact nonphysical eight-variable diagnostic › Data and actual convolution · Em01-D@2#lem:diagnosticC, Em01-D@2#eq:diagnosticC · proof attached · lines 1918–1946
    Open as its own page

    For sufficiently small scales on the relevant relative image,

    Proof. The -marginal of is . Hence

    The product profile makes the eight-variable convolution the tensor product of these convolutions.

    The relative cutoff is one near the compact image needed by the test. Compact profile support gives exact local equality with the uncut convolution at sufficiently small scales, including its required derivatives.

  • sectionDifference of complete familiesExact nonphysical eight-variable diagnostic › Difference of complete families · lines 1948–1956
    Open as its own page

    Define

    Only differs, but both sides are complete seven-row families.

  • lemmaLemma: Exact diagnostic differenceExact nonphysical eight-variable diagnostic › Difference of complete families · Em01-D@2#lem:diagnosticdifference, Em01-D@2#eq:diagnosticdifference · proof attached · lines 1957–2001
    Open as its own page

    Put

    Then

    Proof. The kernel difference is

    The derivative in acts on alone, not on the incidence.

    For (eq:diagnosticC), the kinetic/trace-kinetic combination is

    The kinetic tensor contraction gives , while the trace contribution subtracts . The derivative along annihilates both profile arguments and the -independent internal kernel. Since , the output divergence leaves exactly the stated product. Transposing the two -derivatives proves (eq:diagnosticdifference).

  • sectionCoordinates and the exact measureExact nonphysical eight-variable diagnostic › Coordinates and the exact measure · lines 2003–2050
    Open as its own page

    Use fixed-frame coordinates

    with in a compact positive range on the patch. Then

    Set

    and

    This has codimension eight, but is not the physical aligned-null locus : need not vanish.

    Tests are extended by zero outside their compact support in . Define

    The -derivatives are ambient derivatives taken before evaluation. Put

  • lemmaLemma: Exact rescaled integralExact nonphysical eight-variable diagnostic › Coordinates and the exact measure · Em01-D@2#lem:diagnosticrescale, Em01-D@2#eq:diagnosticrescale · proof attached · lines 2051–2099
    Open as its own page

    For sufficiently small scales,

    Proof. Expansion of the derivative in (eq:diagnosticdifference) gives

    The incidence integrates out .

    The two endpoint coordinate densities contribute

    The future retarded cone is . Its -integration gives the remaining measure

    in addition to .

    Write and include angular averaging, so . Set and . The exact resulting factor is . Finally supplies . This proves (eq:diagnosticrescale).

  • sectionAll diagnostic coefficientsExact nonphysical eight-variable diagnostic › All diagnostic coefficients · Em01-D@2#eq:diagnosticLn · lines 2101–2113
    Open as its own page

    For , define

  • lemmaLemma: Uniform angular Taylor formulaExact nonphysical eight-variable diagnostic › All diagnostic coefficients · Em01-D@2#lem:diagnosticTaylor, Em01-D@2#eq:diagnosticTaylor · proof attached · lines 2114–2151
    Open as its own page

    For ,

    uniformly on compact positive -ranges and compact -ranges with .

    Proof. Taylor-expand in through order . Odd angular moments vanish. The averaged order- term is

    This follows by integrating the even monomials on the unit circle.

    Expand each such coefficient in through total order . Collecting scale order gives (eq:diagnosticLn). The transverse remainder is . The longitudinal remainder for the -term is multiplied by . All errors are with the stated order.

  • sectionAll diagnostic coefficientsExact nonphysical eight-variable diagnostic › All diagnostic coefficients · Em01-D@2#eq:diagnosticcoeff · lines 2151–2178
    Open as its own page

    For , define

    For these exponents, . Thus the formula is finite.

    The profile integrals can all be reduced explicitly. Let

    and for , , set

  • lemmaLemma: Evaluation of every required profile momentExact nonphysical eight-variable diagnostic › All diagnostic coefficients · Em01-D@2#lem:diagnosticmoments, Em01-D@2#eq:diagnosticmoments · proof attached · lines 2179–2218
    Open as its own page

    The moments are

    Every moment in (eq:diagnosticcoeff) is of this type, with , the power of , and the power of .

    Proof. For ,

    For , integration by parts gives the recursion

    If , iterate times and use the first identity. If , iterate times, leaving . Multiplication by gives (eq:diagnosticmoments).

    In , the -power is at most , and , proving the final assertion.

  • sectionAll diagnostic coefficientsExact nonphysical eight-variable diagnostic › All diagnostic coefficients · lines 2218–2225
    Open as its own page

    Equivalently, each summand of is obtained by replacing its polynomial -factor in (eq:diagnosticLn) by the corresponding moment (eq:diagnosticmoments). This evaluates all coefficients without a two-dimensional residual profile integral.

  • theoremTheorem: Complete diagnostic expansionExact nonphysical eight-variable diagnostic › All diagnostic coefficients · Em01-D@2#thm:diagnostic, Em01-D@2#eq:diagnosticexpansion, Em01-D@2#eq:diagnosticleading · proof attached · lines 2226–2297
    Open as its own page

    The difference of complete families satisfies

    with coefficients (eq:diagnosticcoeff) and their evaluated moments (eq:diagnosticmoments). For every ,

    at sufficiently small scales.

    Every coefficient is supported in . In particular,

    This leading coefficient is nonzero on every chart containing a nonempty portion of .

    Proof. The profiles have a common compact -support: lies in , and lies in the support of a derivative of . Thus is bounded.

    Apply Lemma lem:diagnosticTaylor to the -term in (eq:diagnosticrescale), with . Before multiplication, the error is

    Multiplication by gives . Since contains ambient derivatives, the total test order is at most , hence at most eight. For small scales the tangential support stays in a fixed compact set; this follows from compact test support, bounded profile support, and the positive bounded -range. The estimate is therefore uniform for all tests supported in .

    Collecting gives (eq:diagnosticcoeff). All coefficient functionals use finite jets along , proving support there.

    For , only occurs. Its moment is

    This proves (eq:diagnosticleading). A compact normalized smooth profile cannot have derivative identically zero. A test with positive nonzero restriction to the attachment detects the coefficient.

  • corollaryCorollary: Fixed-test failure and finite partExact nonphysical eight-variable diagnostic › All diagnostic coefficients · Em01-D@2#cor:diagnostic · proof attached · lines 2299–2329
    Open as its own page

    There is one fixed compact test for which

    Hence the two complete mathematical families cannot both have raw limits.

    The explicitly subtracted difference

    converges strongly to , with the stated order-eight rate.

    Proof. Choose detecting . Then

    The difference could not diverge if both original families converged. The finite-part conclusion follows directly from the remainder estimate.

  • sectionAll diagnostic coefficientsExact nonphysical eight-variable diagnostic › All diagnostic coefficients · lines 2329–2340
    Open as its own page

    All common internal rows cancel exactly in this comparison at every positive scale. Thus it is a complete-family comparison, not a proof of survival of an isolated branch in the physical sum.

    The coefficients are supported in , not asserted to be supported only in . Their finite subtraction is not automatically a permitted physical correction.

Verification, debugging, and documentary record

  • sectionFinite source implementationVerification, debugging, and documentary record › Finite source implementation · lines 2345–2373
    Open as its own page

    The source specification can be reproduced without selecting a different density:

    1. choose the basis and algebraic dual in (eq:duality);

    2. expand , , and the declared curvature only through the order needed for ;

    3. identify commuting mixed field derivatives by ordinary multiindices;

    4. form the coordinate Euler derivatives of , retaining switch derivatives;

    5. apply (eq:sourceconversion);

    6. extract (eq:sourcehessian);

    7. impose the plateau only after the local source has been formed;

    8. contract the full branch–vertex inventory in a common density and test convention.

    The mathematical checks are: slot symmetry, total derivative weight, repeated-variable factors, basis covariance, and

    No executed component output is claimed.

  • sectionDerivative placementVerification, debugging, and documentary record › Derivative placement · lines 2374–2391
    Open as its own page

    The expression

    is not

    The difference is an incidence derivative. This distinction is essential in the diagnostic and must be preserved in the physical calculation.

    Leibniz derivatives in (eq:response), on the other hand, are part of the exact response and may not be discarded.

  • sectionRemainder differentiationVerification, debugging, and documentary record › Remainder differentiation · lines 2392–2413
    Open as its own page

    A bound alone does not imply a small logarithmic scale derivative. For example, for a fixed nonzero distribution ,

    has an family bound, whereas

    The differentiated estimate in the main theorem was therefore proved directly using the exact scale profile. No differentiated remainder theorem is inferred for the appendix merely from its remainder.

  • sectionExecution recordVerification, debugging, and documentary record › Execution record · lines 2414–2427
    Open as its own page

    No pdfLaTeX compiler, symbolic algebra system, numerical integration program, or proof assistant was executed. The file is arranged for a standalone two-run pdfLaTeX build. Successful compilation, mechanically certified identities, independent referee verification, and journal acceptance are not represented as observed results.

    The supplied manuscripts are used with their printed domains and scope restrictions. Registry summaries are not treated as physical input instantiations or independent proof verification.

  • bibliographyReferencesVerification, debugging, and documentary record › Execution record · lines 2428–2474
    Open as its own page

    Em01B

    Em01-B: Intrinsic Regularization of the Joint Characteristic Map. Supplied manuscript source Em01-B-v3.tex. Complete retained kernel architecture, vertex, regularization, moderate-growth estimate, and conditional limit criteria.

    Em01C

    Em01-C: Characteristic Normal Forms and Complete-Sum Scale Reduction. Supplied manuscript source Em01-C-v3.tex. Source-output convention, finite source rule, local plateau reduction, characteristic coordinates, translation representation, and separately defined scalar asymptotics.

    BDH

    C. Brouder, N. V. Dang, and F. Hélein, “Continuity of the fundamental operations on distributions having a specified wave front set (with a counter example by Semyon Alesker),” Studia Mathematica 232 (2016), 201–226. arXiv:1409.7662. doi:10.4064/sm8316-3-2016. Normal topology and continuity or hypocontinuity of fundamental distributional operations under their wavefront hypotheses.

    Dang

    N. V. Dang, The extension of distributions on manifolds, a microlocal approach. arXiv:1412.2808. Geometric scaling and microlocal conditions for extension across an embedded submanifold.

    BF

    R. Brunetti and K. Fredenhagen, “Microlocal Analysis and Interacting Quantum Field Theories: Renormalization on Physical Backgrounds,” Communications in Mathematical Physics 208 (2000), 623–661. arXiv:math-ph/9903028. doi:10.1007/s002200050004. Distribution-extension and perturbative renormalization framework.