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Bessel-Potential Completions and Real-Order Sobolev Spaces — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Bessel-Potential Completions and Real-Order Sobolev Spaces
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- 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
- 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
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- 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
- 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
- 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
- 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
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- 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
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Schwartz Space and the Plancherel Theorem
- 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
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tempered Distributions and the Fourier Transform
- 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 Exponential Function
- 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
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These examples check the completion on two basic classes. Every Schwartz function gives its canonical element at every real order, with the stated weighted Fourier norm. At order zero, the canonical distribution embedding identifies the completion with complex under the unitary negative-sign transform, with normalization factor one. The first example does not assert the converse characterization of Schwartz space, and the second makes no positive integer derivative-norm comparison.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Every Schwartz function belongs to every real-order H^s
Statement
Assume Countable Choice. For every , real , and actual Schwartz function , its canonical completion class is sent by to the usual regular distribution of . In particular for every real , with This inclusion does not assert that the intersection of all real-order spaces is exactly Schwartz space.
Facts & Assumptions
Given: Countable Choice, , , and .
Countable Choice is used by the metric completion construction defining (The Axiom of Countable Choice ()).
Multiplication by maps Schwartz space continuously to itself (Real powers of the Japanese bracket act on Schwartz space).
Fourier transformation is an automorphism of Schwartz space (Fourier transform is a topological automorphism of Schwartz space).
Every Schwartz function determines a complex class (Schwartz space is dense in L2).
The candidate norm is (Weighted Fourier candidate norm on Schwartz space).
The canonical constant-sequence map embeds Schwartz space linearly and isometrically into its completion (Real-order Bessel-potential completion H^s).
The canonical embedding sends a Schwartz class to its usual regular distribution (The Bessel completion embeds canonically in tempered distributions).
Proof
By [F2], ; then [F1] gives . Thus [F3] gives and the defining integral calculation is by [F4].
Under the stated Countable Choice assumption [A1], [F5] places the constant sequence in with ; [F6] gives , the regular distribution of . Step 1.1 supplies the finite norm, proving the asserted inclusion and formula for every real .
The zero-order Bessel completion is exactly L2
Statement
Assume Countable Choice and use the negative-sign Fourier convention. For , let be the surjective weighted-transform isometry from the completion theorem, and let be its canonical distribution embedding. The map is a surjective linear isometry, agrees with the identity on canonical Schwartz classes, and satisfies for every . Consequently identifies with precisely the regular distributions of complex classes, and The normalization factor in both norm identities is exactly one.
Facts & Assumptions
Given: Countable Choice, , and the fixed negative-sign Fourier transform.
Countable Choice holds for the countable approximations and completion interfaces used by the cited Plancherel and Bessel-completion results (The Axiom of Countable Choice ()).
The candidate norm is (Weighted Fourier candidate norm on Schwartz space).
is the norm completion of Schwartz space with its canonical dense constant-sequence map (Real-order Bessel-potential completion H^s).
is a surjective linear isometry and the embedding formula is ; is injective (The Bessel completion embeds canonically in tempered distributions).
The Plancherel extension is a surjective complex-linear isometry extending Fourier transformation on Schwartz space (Plancherel theorem).
For , the distributional transform satisfies (Fourier transform agrees with l one and plancherel transforms).
Schwartz classes are dense in complex (Schwartz space is dense in L2).
Fourier transformation is injective on because it is a topological automorphism (Fourier transform is a topological automorphism of tempered distributions).
Proof
For , , so [F1] gives . The extension property and isometry in [F4] give , proving the exact factor-one norm identity on Schwartz space.
Define . Under the inherited Countable Choice assumption [A1], [F3] and [F4] supply two surjective linear isometries, so is a surjective linear isometry. If is the canonical constant-sequence class of , then and [F4] gives as an class. By [F6], this canonical copy of Schwartz space is dense in the target.
Given , put , so . At , [F3] gives , while [F5] gives . Injectivity [F7] yields . Since is onto, every regular distribution with occurs as an image; injectivity of in [F3] makes this identification unique. The isometry of gives , and step 1.1 gives the Schwartz norm formula.