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Free observable domains and limits of point notation — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Connectedness
- 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
- Continuous Functional Calculus for Self Adjoint and Normal Operators
- Contour Integration
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Cyclic Groups and Direct Products
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Dirac Clifford matrices and energy projections
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Em Minkowski Mathematical Prerequisites
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite bounded instruments normalize measurement probabilities
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability and the Probabilistic Method
- Forces and Continuum
- 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
- Free observable domains and limits of point notation
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Gelfand Theory and Commutative C Star Algebras
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- 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
- Lebesgue-Stieltjes Measures and Distribution Functions
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Algebra Methods in Combinatorics
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Lorentz Transformations
- 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
- pi: the Equivalent Characterizations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Primitives and postulates
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Qm Math Composites
- Qm Math Controlled Dynamics
- Qm Math Magnetic And Detection
- Qm Math Oscillator
- Qm Uncertainty And Compatibility
- Quantum field quantities and compatible SI normalizations
- Radon Measures and the Riesz Markov Kakutani Theorem
- Regular Surfaces and Surface Integrals
- 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
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Approximation and Sobolev Extension
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Spacetime Primitives
- Specified bosonic scalar and CAR Dirac model adoption
- Spectral Measures and Borel Functional Calculus
- Splitting Fields
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tangent Cotangent and the Differential
- 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 Baire Principles of Functional Analysis
- 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 Divergence Theorem and Classical Stokes
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Fundamental Theorems of Calculus
- The Galois Correspondence
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- 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 Spectral Theorem, Positive Operators and Singular Value Decomposition
- 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
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Derivatives and Sobolev Spaces
- Worldlines And Clocks
2 · Summary
The specified Gaussian family has no finite vacuum-vector norm limit refutes a finite vacuum-vector norm limit for the specified normalized Gaussian spacetime smearings of the free scalar field. The obstruction applies to that representation and topology; it does not rule out distributional or renormalized point-field constructions.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
The specified Gaussian family has no finite vacuum-vector norm limit
The normalized Gaussian spacetime-smearing family for the real scalar field in the selected four-dimensional free Fock vacuum. It refutes only convergence in this representation's vacuum-vector norm; distributional or renormalized point-field constructions in other senses are outside scope. No empirical observation is asserted.
Statement refuted
Assume all hypotheses of Free observable domains and limits of point notation, including Countable Choice and the selected four-dimensional free real scalar Fock model with . A normalized Gaussian profile on dimensionless means where and is a dimensionless real symmetric positive-definite matrix. Fix and such a profile . For a width measured in metres, put . The claim that converges in Fock norm to a finite vector as , thereby defining a sharp point field on the vacuum by this norm limit, is false.
Facts & Assumptions
Given: The hypotheses of the domain-limits theorem, the adopted free scalar representation, its normalized vacuum vector, and the exact point-smearing statement below.
Under the hypotheses of Free observable domains and limits of point notation, normalized Gaussian spacetime tests approximate a point mass, while the resulting scalar vacuum vectors have norms tending to infinity for every sequence of widths decreasing to zero. This is specific to the selected free scalar representation and its Fock norm.
For a normalized nonnegative Gaussian and Schwartz test , dominated convergence applies to with the integrable bound . Dominated convergence
Counterexample
Given: Use the exact scalar Fock representation and the normalized Gaussian family in [F1].
Let be an arbitrary sequence of positive widths in metres with . For any Schwartz test , the change of variables gives For each , the integrand tends to and is bounded in absolute value by the integrable function . The sequence-indexed dominated-convergence theorem [F2] gives convergence of these integrals to , using . Since the sequence was arbitrary, the sequential criterion for a limit gives the full limit as ; hence these are point-mass approximants.
For , take the explicit sequence . Every width is positive and the sequence decreases to zero. By [F1], . A norm-convergent sequence in a Hilbert space has bounded norms, so this sequence cannot converge to a finite vacuum vector. Hence the claimed norm-limit point field does not exist in this representation. This refutes only the stated norm limit and does not exclude distributional or renormalized constructions.
5 · Examples, experiments and counterexamples
None yet.
Sources
- David Tong, Quantum Field Theory, author-hosted complete lecture notes, Chapter 2, §§2.2–2.3
- Mark Srednicki, Quantum Field Theory, Part I: Spin Zero, author prepublication textbook draft, arXiv:hep-th/0409035v1
- Christopher J. Fewster and Kasia Rejzner, Algebraic Quantum Field Theory—an introduction, complete author manuscript, arXiv:1904.04051v2