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Regular polynomial field functional algebra
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Dirichlet Kernel Localisation and Pointwise Fourier Convergence
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Exterior Powers, Orientation and Hodge Duality
- Fejer and Poisson Summability of Fourier Series
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fourier Transform Convolution and Approximate Identities
- Fredholm Elliptic Problems and the Elliptic Spectrum
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Harmonic Functions and Mean Values in Rn
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Manifolds with Boundary Collars and Orientations
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Math Composites
- Qm Math Oscillator
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Scalar future mass-shell measure and test restriction
- Schwartz Space and the Plancherel Theorem
- Schwartz/distribution spaces and Hilbert Fock conventions
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Approximation and Sobolev Extension
- Smooth Partitions of Unity and Exhaustions
- Spacetime Primitives
- Spectral Measures and Borel Functional Calculus
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tempered Distributions and the Fourier Transform
- Tempered time-ordered scalar two-point carrier
- Tensor Fields Exterior Algebra and Differential Forms
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Unbounded Self Adjoint Operators and Stones Theorem
- Uniform Spaces: the Three Definitions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Derivatives and Sobolev Spaces
2 · Summary
This mathematical page defines regular polynomial field functionals by finite symmetric smooth compactly supported kernels, proves tensor-test density and coefficient uniqueness, and supplies the diagonal delta distribution used to state the local-functional boundary. It develops the regular distributional Wick contraction product and normal-ordering isomorphism. It defines formal time-ordered coefficients and proves coefficientwise causal factorization conditional on the inspected free scalar two-point, vacuum covariance, and causal-commutator interfaces. A separate bounded-operator result gives norm-convergent Dyson evolution under explicit strong-continuity and uniform-boundedness hypotheses. Local diagonal functionals and interacting continuum limits are outside the regular class. Draft supplier interfaces remain conditional; authoring readiness is not independent approval.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Regular polynomial field functional algebra
Definition
For a continuous compactly supported , write for its real-coordinate decomposition and define its complex Riemann integral by where the real integrals are over a closed rectangle containing the support. Equivalently, use any sufficiently large cube ; the value stabilizes as increases because vanishes outside its compact support. Each real component integral exists by Every continuous function on a closed nondegenerate rectangle in is Riemann integrable. The complex modulus is ; the triangle inequality for Riemann sums gives . Complex linearity and product-rectangle Fubini follow by applying the real integral rules to the real and imaginary components; in particular, use Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections componentwise. Differentiation under a compact parameter integral likewise means applying Leibniz's rule on a compact rectangle: an interior parameter derivative with a continuous extension may be passed through a Riemann integral to both real components. These conventions apply to every integral below.
Let , , and . Write for the complex test-function space of smooth compactly supported functions (Test function space d of an open set), with its LF topology (Test function topology). The convergence criterion used below is that convergent test sequences have one common compact support and converge uniformly with every derivative (Sequential convergence in test function space). Here means every coordinate derivative exists and is continuous ( maps and multi-index derivative notation in Euclidean space). All integrals are compact Riemann integrals: each integrand is continuous with compact support, so restrict it to a compact rectangle and apply Every continuous function on a closed nondegenerate rectangle in is Riemann integrable. Let be the subspace of kernels invariant under every permutation of their -variables. Fields are real smooth configurations . For an integer and a finite family , for , define The pairing is complex-bilinear, with no conjugation on the kernel or field. An element of is this finite symmetric coefficient family, evaluated on fields by . Pointwise sums, scalar multiples, and products again have finite symmetric compactly supported coefficient families: for products, expand the two finite sums and symmetrize each tensor product . Thus these elements form an algebra; the product-integral identity follows from Riemann Fubini on a rectangle containing the compact supports (Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections).
For , set . For , the -th functional derivative kernel assigned to this coefficient family is For it is zero. Each displayed kernel is smooth, symmetric and compactly supported in its remaining variables: compactness follows by projection of the finite union of coefficient-kernel supports, and derivatives pass through the finite-compact integrals by Leibniz's rule on a compact rectangle: an interior parameter derivative with a continuous extension may be passed through a Riemann integral. In the term , the empty integral and empty product mean simply .
For real smooth directions , the pairing of with is the coefficient of in . For each degree- term, expanding the finite product assigns the distinct directions to the factors in ways; symmetry of makes the corresponding integrals equal. This verifies the displayed kernel's functional-derivative meaning by a finite polynomial calculation.
The scope is exactly smooth compact coefficient kernels. A local functional whose higher derivative kernels are distributions on a thin diagonal is not included merely because its field expression is polynomial.
The diagonal delta is a distribution supported on the diagonal
Statement
Let and let . For a continuous compactly supported , write and define as the stabilized componentwise real Riemann integral over cubes containing . The real component integrals exist by Every continuous function on a closed nondegenerate rectangle in is Riemann integrable; additivity of real Riemann sums shows the value is independent of the sufficiently large cube. Use for the complex modulus. The Riemann-sum triangle inequality gives . For , define Then is a continuous complex-linear distribution with support exactly , and it is symmetric under exchanging and . No nonzero smooth function on is supported on .
Facts & Assumptions
Given: The test-function and distribution conventions on Euclidean open sets.
consists of smooth compactly supported complex functions with the LF test-function topology, and is its continuous complex-linear dual with bilinear pairing (Test function space d of an open set, Test function topology, Distribution).
Smoothness is defined by coordinate derivatives, and composition with a smooth linear map obeys the total-derivative chain rule ( maps and multi-index derivative notation in Euclidean space, The chain rule for total derivatives: ).
A continuous function on a compact rectangle is Riemann integrable (Every continuous function on a closed nondegenerate rectangle in is Riemann integrable).
A compact subset of an open set has a smooth compactly supported cutoff equal to one near it (Test function cutoffs and euclidean localization).
The support of a distribution is the complement of its largest open vanishing set (Support of a distribution).
Proof
Given: [F1]–[F5].
Define by . For , the diagonal restriction has first derivatives by [F2]. Iterating this formula on the smooth partial derivatives of shows the restriction has continuous derivatives of every order, so it is smooth. Its support is contained in the first-coordinate projection of , which is compact as a continuous image of a compact set. The componentwise convention in the Statement and [F3] make the displayed integral well defined.
The assignment is complex-linear. Fix a nonempty compact and a compact rectangle containing its first-coordinate projection. For every supported in , Thus the seminorm is continuous on every fixed-support test space. By the LF topology definition in [F1], such seminorms are continuous on . Therefore .
If an open set is disjoint from , then every test supported in vanishes at every . Its pairing with is zero, so [F5] gives .
Fix and any open neighborhood of this point. There is a ball about with . By [F4] choose with , , and support in . By continuity choose a closed nondegenerate cube inside on which , and choose a sufficiently large cube containing and with the faces of among its grid cuts. The lower Darboux sum of the nonnegative function on this grid is at least , so its real Riemann integral is positive. The product test is supported in , and . Thus does not vanish on any neighborhood of , so by [F5]. Since the point was arbitrary, . Together with step 3.1 this gives equality.
For every , the diagonal restrictions of and coincide, so the distribution is symmetric. The diagonal has empty interior: every product neighborhood of a point contains with . If a smooth function supported on the diagonal were nonzero at a point, continuity would make it nonzero on an open neighborhood, contradicting empty interior. Therefore every such smooth function is zero.
Bounded Dyson convergence and temporal factorization
Statement
Assume Countable Choice. Let be a complex Hilbert space (Hilbert space), with , and a strongly continuous family of self-adjoint bounded operators (self-adjoint means , using the Hilbert adjoint of The Hilbert-space adjoint of a bounded operator) with . Strong continuity means that is norm-continuous for every . Here a strongly continuous solution means that, for each fixed and , is norm-continuous. For a continuous , the vector-valued Riemann integral means the common norm limit of tagged partition sums as their mesh tends to zero; it is oriented by and is zero when . The construction in step 1.1 proves existence and independence of tags for every integrand used below. Define and recursively where is the continuous vector-valued integrand. Then For every complex , converges in operator norm, uniformly on , and is the unique strongly continuous solution of For real , is unitary (that is, a surjective linear isometry of ) and obeys . If vanishes outside and vanishes outside , where , then with the later-time factor on the left, provided . This identity also holds coefficientwise as a formal power series in .
Facts & Assumptions
Given: [A1]–[A3] and the operator definitions.
Assume Countable Choice (The Axiom of Countable Choice ()), as required for the Hilbert-adjoint definition used here.
A complex Hilbert space is complete in its norm (Hilbert space); is the space of bounded linear operators and is their operator norm (The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
The Hilbert adjoint is characterized by the inner-product identity, and for a bounded operator self-adjoint means equality with that adjoint (The Hilbert-space adjoint of a bounded operator).
is strongly continuous, self-adjoint at each , and uniformly bounded by on . Strong continuity means that is norm-continuous for every .
For the factorization clause, satisfy the same hypotheses and are supported in the strictly ordered time intervals and , respectively, with .
A continuous real-valued function on a nonempty compact metric space is bounded (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
The complex exponential is given by its power series, and converges absolutely for every (The complex exponential by its power series, The complex exponential series converges absolutely for every complex argument).
Continuous scalar functions on compact intervals are Riemann integrable, and integrating a continuous derivative gives its endpoint difference (Every continuous function on a closed nondegenerate rectangle in is Riemann integrable, The second fundamental theorem: if is differentiable on with and is integrable, then ).
The derivative of a polynomial follows the ordinary product rule (Sums, scalar multiples, products and quotients: , , , and when ).
A continuous map from a compact metric space to any metric space is uniformly continuous. Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
Proof
Given: [A1]–[A3] and [F1]–[F7].
If , every integral is zero, , and for ; all evolution and unitarity claims follow, while no lies in , so the separated-support clause has no instance. Assume henceforth . Suppose is continuous in . For fixed , which tends to zero by strong continuity of . Thus the recursive integrand is continuous. Apply [F7] to and the Hilbert space with their norm metrics; the estimate gives uniform continuity of the integrand. On any interval with endpoints , the midpoint tagged sums of its equal-mesh partitions are Cauchy by uniform continuity, so completeness of gives a norm limit. The same modulus-of-continuity estimate shows that every tagged sum of sufficiently small mesh approaches this limit, proving existence and tag/partition independence of the Riemann integral defined in the Statement; reverse its sign when . The tagged-sum triangle inequality and scalar Riemann-sum limit [F5] give . The integral as a function of its upper endpoint is continuous, since its increment has norm at most the interval length times the supremum of the continuous integrand; this supremum is finite by [F3]. This proves strong continuity of and closes the induction.
The identity operator has norm at most one, including when . The integral estimate then gives inductively This proves the factorial bound for both orientations of the integral.
The bound in step 2.1 makes absolutely and uniformly convergent in operator norm on , with total norm at most by [F4]. The recursion and this uniform bound permit termwise integration on each vector: the norm of the integral of a uniform tail is at most times its supremum norm, which tends to zero. This gives the displayed integral equation.
If and are two strongly continuous solutions, then for fixed , is bounded on by [F3] and is Riemann integrable by [F5]. It satisfies . Repeated substitution gives an -fold integral over the ordered simplex between and ; induction using [F5] and the polynomial derivative rule [F6] evaluates its volume as , so with . The right side tends to zero, so the solution is unique. To prove composition, split the equation for at : for , it reads . Multiplying the equation for on the right by shows solves this same initial-value equation and has the same value at . The uniqueness estimate just proved, with initial time , gives equality; the reversed orientation proves it for .
For a continuous vector-valued integrand, the average over a signed interval of length converges in norm to its value at the base point: the error is bounded by the supremum of its variation on that interval. Taking difference quotients in the integral equation therefore gives , with relative one-sided derivatives at the endpoints. If , then The second term tends to zero and the first tends to for real , because self-adjointness makes real. By the continuity estimate in step 1.1, the scalar function has continuous derivative zero. The real fundamental theorem [F5] on each subinterval therefore makes constant, so is an isometry.
By the composition law in step 4.1, and . Hence is surjective. Step 4.2 shows that it is an isometry when is real. By the unitary convention stated above, is unitary.
Let . On , , so the integral equation for is the equation for with generator . On , both generators vanish on the open gap and, by strong continuity, at its endpoints; thus is constant and the same equation continues across the gap. On , , while the integral equation for reduces to Right multiplication by the fixed bounded operator commutes with the vector integral by its tagged-sum definition, so satisfies the equation for on this interval too. The three interval equations agree at their endpoints and combine to the full integral equation on ; uniqueness from step 4.1 gives the stated factorization at . Both sides have operator-norm-convergent power series for every . Their equality for real forces equality of coefficients: a first differing coefficient would remain nonzero after division by its least power of and passage to .
Tensor-product tests are dense in smooth compact kernel topology
Statement
Let , , and give its LF test-function topology. The finite linear span of elementary product tests is dense. More precisely, for each , there is a sequence of such finite sums whose supports lie in one fixed compact product and whose derivatives of every multi-index converge uniformly to those of . Symmetrized finite sums are dense in . Consequently the symmetric-kernel representation in Regular polynomial field functional algebra is unique: if a finite symmetric-kernel polynomial vanishes on every real smooth field, every coefficient kernel vanishes.
Facts & Assumptions
Given: Integers , the test-function topology, and the coefficient presentation of a regular polynomial functional.
A test is a smooth complex function with compact support (Test function space d of an open set); convergence in the LF topology is equivalent to one common compact support and uniform convergence of every derivative (Test function topology, Sequential convergence in test function space).
Multi-index derivatives and regularity are defined coordinatewise ( maps and multi-index derivative notation in Euclidean space).
A compact subset of an open set admits a smooth compact cutoff equal to one near it (Test function cutoffs and euclidean localization).
A continuous map on a compact rectangle is uniformly continuous (Every continuous map from a nonempty compact Hausdorff space to a uniform space is uniformly continuous).
Fejer means of a continuous one-periodic function converge uniformly (Fejer means converge uniformly for continuous periodic functions).
Write each complex number as with real coordinates and use and for conjugation and modulus. The complex exponential has derivative , obeys the addition law, and satisfies ; hence the integer characters used below are smooth and periodic (The complex exponential by its power series, The complex exponential is entire and its complex derivative is itself, , and the complex exponential extends the real exponential, , , and ).
Continuous functions on compact rectangles are Riemann integrable (Every continuous function on a closed nondegenerate rectangle in is Riemann integrable); iterated integrals in coordinate rectangles agree with the multiple integral, and the integral is linear and satisfies the absolute-value bound (Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections, Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in ). Complex-valued integrals here are the componentwise integrals of their real and imaginary parts, using the convention in [F9]; all the cited real integration rules apply componentwise.
For a differentiable product, the usual product rule holds (Sums, scalar multiples, products and quotients: , , , and when ); the integral of a continuous derivative is the endpoint difference (The second fundamental theorem: if is differentiable on with and is integrable, then ).
The regular polynomial is the finite coefficient map in Regular polynomial field functional algebra; its kernels are symmetric, its field domain is all , and its compactly supported complex Riemann integrals are defined componentwise by real and imaginary parts over a containing cube.
Proof
Given: [F1]–[F9].
Fix and regard as , . The coordinate projections of lie in a compact . By [F3] choose equal to one near . Choose so large that every coordinate of lies strictly inside . Extend by zero and then -periodically in each of the coordinates; because its support is interior to the period cube, the resulting function is smooth on the compact -torus.
For , put , , and . These are Riemann integrals by [F7]. Periodic integration by parts in one coordinate has no boundary term: the endpoint product agrees by periodicity, and [F8] converts the integral of a derivative to that endpoint difference. Writing , applying this identity to , and using the character derivative from [F6], gives . The left side is bounded by the volume of times the supremum of the continuous function , so For integer , the number of lattice points in is at most , by expanding the two powers; the shell is finite. Thus, for every multi-index , choosing with makes finite. The Fourier series and each derivative series therefore converge absolutely and uniformly on the torus. Integrating each uniformly convergent derivative series along a coordinate segment and using [F8] shows it is the corresponding derivative of the uniformly convergent Fourier sum; iterating over coordinates gives the same assertion for every multi-index.
The uniform sum has the same Fourier coefficients as , since uniform convergence allows integration term by term and distinct integer characters have zero cross integral by [F6]–[F8]. Their difference is a continuous -periodic function with every multi-index Fourier coefficient zero. For , all its Fejer means are finite sums of those zero coefficients, so [F5] makes the function zero. For , fix the first frequency and integrate in the first coordinate to obtain a continuous -periodic coefficient function; continuity follows from [F4] and the compact integral bound [F7]. Its remaining Fourier coefficients are the corresponding coefficients of the original difference by [F7], so induction makes each such coefficient function zero. Applying the one-dimensional case to each fixed choice of the remaining coordinates shows the original difference is zero. Hence the Fourier series sums to , with all derivatives uniformly.
Let be the finite Fourier sum over . On , put Each Fourier character factors over the blocks ; after multiplication by the product cutoff, each term is an elementary tensor of tests in . Also , since every coordinate projection of its support lies in . The product rule [F8] and the derivative convergence from step 2.1 show uniformly with every derivative, with all supports in the fixed compact . By [F1] this is convergence in the LF topology. Applying the finite symmetrization operator preserves convergence and turns the approximants into symmetric finite tensor sums whenever is symmetric.
Suppose for every real smooth , with symmetric test kernels as in [F9]. Replacing by makes a scalar polynomial in vanish for every real , so each homogeneous term is zero for every . For fixed real test functions , substitute . The coefficient of is , by symmetry, and must vanish. Complex product tests are finite linear combinations of real product tests by separating real and imaginary parts. Step 3.1 makes their span dense, so choose approximants with support in a fixed compact rectangle . The componentwise convention [F7, F9] and the Riemann-sum triangle inequality give Thus . If were nonzero at some point, its support constraint and continuity give a closed nondegenerate rectangle and with on . Insert the faces of into a Darboux grid of . Since everywhere and on , the lower Darboux sum is at least , so the real Riemann integral is positive, a contradiction. Hence . The constant term is zero by taking . This proves uniqueness and the well-definedness claim used by the definition.
Regular Wick-star contractions are well defined and associative
Statement
Let , , and let be any continuous complex bidistribution. For a real formal parameter and , define The pairing is over independent pairs of variables; is formed by iterated distributional tensor products, not by multiplying distributions at coincident points. The sum is finite because the inputs are polynomial. It defines an element of , and is associative. Here complex conjugation is for . If is Hermitian in the sense , then , where . For ,
Facts & Assumptions
Given: [A1], the regular polynomial class, the continuous bidistribution , and the supplier statements below.
The formal parameter is fixed by the involution and has no analytic or physical interpretation in this mathematical item.
A regular polynomial is a finite sum with unique symmetric test kernels; its -th derivative is the smooth compact kernel displayed in the definition, and complex Riemann integrals of its compact kernels are evaluated componentwise as defined there (Regular polynomial field functional algebra, Tensor-product tests are dense in smooth compact kernel topology).
Tensor products of distributions exist as continuous distributions; their iterated pairings associate and agree on product tests (Tensor product distributions and iterated pairings).
Pairing a distribution against a smooth parameter family with locally common compact support produces a smooth function, and derivatives pass through the pairing (Distribution pairing with smooth parameter families).
Proof
Given: [A1] and [F1]–[F3].
For each , [F2] constructs on the independent variable pairs. The kernels and in [F1] are smooth and compactly supported, so the displayed pairing is defined. In each homogeneous term of and , pairing the contracted variables leaves a smooth compact kernel in the remaining variables: the support lies in the projection of the original compact coefficient supports, and [F3] passes every remaining-variable derivative through the pairing. The raw remaining-variable kernel need not be symmetric under permutations exchanging a variable from the block with one from the block. For each output degree , replace it by its full symmetrization . This preserves smoothness and compact support, and its field evaluation is unchanged because both the product and the product integration measure are invariant under permutations. The resulting symmetric coefficient therefore represents each summand in .
If and have degrees and , then for and for . Hence only contribute; the sum is finite, independent of a coefficient presentation by [F1], and belongs to .
For , define the auxiliary formal generator by in the formal power-series ring; it is not asserted to be an element of . For a zero-constant formal series , means , with all equalities interpreted coefficientwise. The -th derivative of in is . Substitution into the finite coefficient formula gives, coefficientwise in ,
Applying step 2.2 twice, both bracketings of three generators equal by bilinearity of . Comparing coefficients of proves associativity for powers of linear functionals. For distinct tests in one input, replace by in the same coefficientwise identity; its coefficient of is the symmetrized product . Make this substitution independently in each of the three inputs. Thus the associator vanishes for every symmetrized elementary tensor-product coefficient kernel and for their finite sums.
By [F1], symmetrized finite product-test kernels are dense in every coefficient test space. Each fixed coefficient of the associator is a finite sum of compositions of continuous tensor-distribution pairings from [F2] and smooth parameter pairings from [F3], hence is continuous in the coefficient kernels. Passing to the limits of the product-test approximants from the preceding coefficient comparison proves associativity for arbitrary .
For linear functionals only occur. The term cancels in the commutator, while the terms are and ; this gives the displayed commutator. If is Hermitian, conjugating each finite contraction reverses its two variable groups and gives .
Regular normal-ordering change is an exact star isomorphism
Statement
Let , , and let be symmetric under interchange of its variables. Define on . Each sum is finite on each polynomial because lowers degree by two. Then is invertible with inverse , and for all regular polynomial functionals . Thus the change from to is an exact algebra isomorphism on this regular class.
Facts & Assumptions
Given: [F1]–[F4], a symmetric continuous bidistribution , and the formal-parameter convention of [A1].
The parameter is formal and fixed by complex conjugation.
The regular coefficient kernels and their functional derivatives are smooth and compactly supported; compactly supported complex Riemann integrals are evaluated componentwise as defined in Regular polynomial field functional algebra, and the coefficient representation is unique (Tensor-product tests are dense in smooth compact kernel topology).
Tensor products of distributions pair independently and iterated pairings associate (Tensor product distributions and iterated pairings).
Distributional pairings with smooth common-compact-support parameter families are smooth, with derivatives passed through the pairing (Distribution pairing with smooth parameter families).
For every continuous bidistribution , the regular contraction product is well defined and associative, with finite sums (Regular Wick-star contractions are well defined and associative).
Proof
Given: [A1]–[F4], , and symmetric .
For a homogeneous coefficient of degree , one application of contracts two derivative variables against , leaving a smooth compact kernel by [F1]–[F3]. It lowers the polynomial degree by two; therefore when , so is a finite sum in . The same finite argument defines .
For this computation set as a formal generating series. Each second derivative contracts to . Coefficientwise this gives where the exponential is its formal power series; each coefficient used below involves only finitely many derivatives.
On two auxiliary generators, the left side of the asserted identity has the scalar factor The right side has factor Symmetry and bilinearity of make these exponents equal.
Comparing coefficients of in step 3.1 first proves the identity for powers of linear functionals. Replacing by and comparing the coefficient of , and doing the same independently for , proves it for every finite product of distinct linear functionals. Each fixed coefficient is continuous in its smooth compact kernels by [F2]–[F4]; the density in [F1] therefore extends the identity to all . For an input of degree , the coefficient of in is multiplied by , which is zero for and one for . The sums are finite because lowers degree by two, so ; the reverse composition is identical.
Regular time-ordered contraction coefficients
Definition
Assume the Axiom of Countable Choice: for every sequence of nonempty sets there is a function with domain such that for all (The Axiom of Countable Choice ()). This premise is inherited from the construction of in Tempered time-ordered scalar two-point carrier; the finite contractions below require no additional choice assumption.
Set . Fix and the , shell, Fourier, and coordinate conventions of Tempered time-ordered scalar two-point carrier. That current supplier states that its relative-coordinate tempered distribution is symmetric, agrees with the ordered Wightman kernels on strictly ordered time supports and on spacelike-separated supports, and has no prefactor in its definition. Its current carrier is a draft with a supplied conditional proof; the formula below uses that exact interface. Complex integrals of compactly supported regular kernels use the componentwise Riemann convention in Regular polynomial field functional algebra: write the integrand as its real part plus times its imaginary part and integrate each real component.
For open , is the space of smooth compactly supported complex tests with the LF topology, and is its continuous complex-linear dual, paired bilinearly with no conjugation (Test function space d of an open set, Test function topology, Distribution). Schwartz space consists of smooth functions with all polynomially weighted derivatives bounded; is its continuous complex-linear dual with bilinear pairing (Schwartz space and its seminorms, Schwartz topology and convergence, Tempered distribution).
For any relative-coordinate distribution , define its translation-invariant two-point bidistribution by The inner function is a test function: its support lies in the difference of the two compact coordinate projections of ; each derivative in is the Riemann integral of the corresponding first-variable derivative of over a compact rectangle containing the fixed compact second-variable projection; iterate the real single-coordinate differentiation rule over every derivative in and apply it to both real components, using the compact parameter-integral differentiation convention of Regular polynomial field functional algebra. On each fixed compact support space, every output derivative seminorm is bounded by the volume of a compact rectangle containing the second-variable projection times the corresponding source derivative seminorm. The support of the output lies in the compact difference of the two projections. Thus this map is continuous on each fixed-support test space, and hence on the LF test topology Test function topology. Thus the displayed formula defines a distribution without multiplying singular distributions. Write .
For , define its support as the finite union of the coordinate projections of the supports of its nonconstant symmetric coefficient kernels. This is a compact set and is presentation independent by Tensor-product tests are dense in smooth compact kernel topology. For compact , write when This means the first support has no point in the closed causal past of the second, using the supplier's fixed inertial chart.
For , let consist of finite coefficient families in independent real smooth fields of the form where ranges over a finite set, , and each coefficient is symmetric within every block . is a one-point space; an empty product and an integral over no variables leave the scalar coefficient unchanged. Here is the product of the coordinate volume elements over all variables present. The product of regular polynomials is in .
For , define the one-pair contraction linearly and termwise on each block coefficient . It is zero if or ; otherwise it has multidegree and coefficient where occupies the first variable of block , occupies the first variable of block , and the uncontracted variables are held as parameters. The result remains symmetric within each remaining block. The parameter-pairing theorem Distribution pairing with smooth parameter families makes this coefficient smooth and compactly supported. The factor counts the choices of one variable from each symmetric block, so this is exactly one functional derivative in each of the independent field slots followed by pairing against .
For , define full symmetrization by with the identity. For , define by setting and replacing each remaining block coefficient by its full symmetrization across all variables. For a finite-degree , the formal exponential is defined coefficientwise by which terminates because each contraction lowers total degree by two. The parameter is formal and fixed by complex conjugation. Define The tensor-product distribution theorem Tensor product distributions and iterated pairings and the parameter-pairing theorem above make every contraction well defined; no diagonal product occurs. Symmetry of makes symmetric in its inputs.
For any and formal coupling , define This is a coefficientwise formal series; the definition asserts no convergence in , no time-ordered product for singular local functionals, and no continuum interacting field.
All regular formal temporal causal-factorization coefficients
Statement
Assume the current scalar suppliers Tempered time-ordered scalar two-point carrier, Smeared free scalar field and its Poincare representation, and Causal support of the scalar commutator distribution at exactly their displayed draft interfaces. Let be the relative-coordinate scalar Wightman distribution from the smeared-field supplier, and let be the time-ordered relative-coordinate distribution from the time-ordered-kernel supplier. Form their translation-invariant bidistributions by the construction in Regular time-ordered contraction coefficients.
Let have compact supports , respectively. If , as defined in Regular time-ordered contraction coefficients, then coefficientwise in . If every difference , , , is spacelike, then for regular supported in ; the corresponding formal series commute coefficientwise. These are formal identities for regular functionals only. They assert neither convergence in the coupling nor a local Wick-product or continuum-interaction construction.
Facts & Assumptions
Given: The formal parameter conventions, the three current QFT supplier interfaces, and the regular algebra and contraction definitions.
The coupling is formal, and is an invertible formal bookkeeping parameter fixed by the involution. Equality of series means equality of every coefficient.
The time-ordered-kernel carrier is currently a draft whose statement fixes , gives a symmetric tempered , and states that on strictly positive-time differences and agrees with both ordered Wightman kernels on spacelike-separated supports (Tempered time-ordered scalar two-point carrier). This is its actual current interface, not an accepted proof stamp.
The smeared-free-scalar carrier defines the relative-coordinate distribution ; its translation-invariant bidistribution is the shell integral of , and on product tests it equals , with second-variable-linear pairing (Smeared free scalar field and its Poincare representation).
The scalar-causal-commutator carrier states for real compact tests and (Causal support of the scalar commutator distribution).
The lift of a relative distribution is . The formal coefficients use these lifts in independent-variable contractions (Regular time-ordered contraction coefficients).
The regular star product is the finite contraction formula for any continuous bidistribution and regular polynomial inputs (Regular Wick-star contractions are well defined and associative).
Finite sums of product tests are dense in the smooth compact kernel topology (Tensor-product tests are dense in smooth compact kernel topology).
Every open cover admits a locally finite smooth partition of unity with compact supports subordinate to cover members (Test function cutoffs and euclidean localization).
Tensor products of distributions exist, their supports are products of the factor supports, and iterated pairings associate (Tensor product distributions and iterated pairings).
Proof
Given: [A1] and [F1]–[F8], with each draft supplier used only at its inspected statement and proof status.
Taking vacuum expectations in the commutator of [F3] and using the covariance in [F2] gives for real compact tests. Complex bilinearity extends this equality to complex product tests, and density [F6] extends it to the lifted bidistributions: . If is supported where is spacelike, the relative test is compactly supported in the spacelike open set. By [F3] its pairing with is zero. Thus vanishes there. The conclusion is conditional on the current QFT-MF02 statements.
Put . Every either has or is spacelike: if and it is not spacelike, then , excluded by ; this also excludes the zero difference. Thus lies in the open set , where and . By [F7], the cover of has a locally finite smooth partition of unity subordinate to these sets. Any compactly supported relative test in meets only finitely many partition functions. On each piece [F1] gives ; on each piece [F1] gives agreement with both Wightman orderings, which coincide there by step 1.1. Therefore vanishes on . The open set contains , and the lift [F4] sends every test supported in to a relative test supported in . Hence vanishes on an open neighborhood of .
For any finite number of cross pairs, expand by telescoping; each summand contains one factor . Its support is disjoint from the corresponding open neighborhood of by [F8] and step 2.1, so it pairs to zero with derivative-kernel tests supported in . Therefore every finite cross contraction is unchanged when the time-ordered kernel is replaced by .
In the finite contraction formula for , split into contractions within the first slots, within the last slots, and between the two blocks. Two such operators may share a field block, but they contract distinct variable copies. If they share block , symmetry of its coefficient kernel lets one exchange the labels of the two contracted variables; the tensor-product pairings then agree in either order by [F8]. Thus the within-first, within-last, and cross-block sums commute. Their first two exponentials give and . By the finite product rule on the block coefficients, the -th term of the cross-block exponential is times the independent -pair contraction of the -th derivative kernels of these two block outputs. After replacing the cross kernels by using step 3.1, this is exactly the finite star-product formula [F5]. Every remaining field variable comes from an original coefficient kernel, so within-block contractions retain support in or . Hence For or , the empty block is and the same identity follows directly.
In the degree- coefficient of , symmetry of groups terms with copies of and copies of , , with factor . Dividing by gives . Substitution of step 4.1 therefore gives exactly the degree- coefficient of . Since was arbitrary, the causal-factorization identity holds coefficientwise, with no convergence in .
If are pairwise spacelike separated, step 1.1 gives on . Swapping the two inputs in the finite formula reverses each cross pairing and changes no within-input term, so . Applying this coefficientwise to the formal series proves their commutation.
5 · Examples, experiments and counterexamples
None yet.
Sources
- Klaus Fredenhagen and Katarzyna Rejzner, Perturbative algebraic quantum field theory, complete lecture notes, section 4
- David Tong, Quantum Field Theory, complete author-hosted Cambridge lecture notes, chapter 3
- Klaus Fredenhagen and Katarzyna Rejzner, Perturbative algebraic quantum field theory, complete lecture notes, section 5
- Klaus Fredenhagen and Katarzyna Rejzner, Perturbative algebraic quantum field theory, complete lecture notes, sections 5–7
- Klaus Fredenhagen and Katarzyna Rejzner, Perturbative algebraic quantum field theory, complete lecture notes, section 7