How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Distributions Test Functions and Differentiation — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- 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
- Foundations of the Real Numbers for Analysis
- Fourier Transform Convolution and Approximate Identities
- Fubini and Change of Variables
- 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
- 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
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- pi: the Equivalent Characterizations
- 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
- 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
- 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
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- 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 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 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
- Volumes of Elementary Solids and Solids of Revolution
2 · Summary
The signed transpose convention becomes concrete in these calculations. A jump contributes its right-minus-left value times a Dirac mass; the Newtonian kernel in three dimensions has the sign that makes its distributional Laplacian a positive unit mass. Its proof regularizes the singularity and supplies the ball geometry needed for Green's identity.
Symmetric principal value is constructed directly with proper Riemann integrals and a first-derivative bound. The remaining examples separate locally integrable functions from general distributions, and pointwise convergence from convergence of test pairings. Rescaled cutoff monomials show that the derivative order of a Dirac mass is sharp. Lebesgue-integral examples state Countable Choice explicitly; the principal-value and sharp-order constructions are choice-free.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Derivative of the heaviside function is dirac delta
Example
Assume Countable Choice for Lebesgue integration. On , let . Then . Any assigned value of gives the same regular distribution.
Facts & Assumptions
Locally integrable functions have regular functionals (Regular distribution from a locally integrable function), and under Countable Choice these functionals are distributions (Locally integrable functions embed in distributions).
Under Countable Choice, the complex FTC gives (Complex integration by parts on intervals and decaying lines, The Axiom of Countable Choice ()).
A singleton is Lebesgue null (A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in ).
Proof
Given: the bounded measurable function and Countable Choice.
Since , its absolute integral on every compact interval is finite, so F1 makes a distribution. Altering its value only at zero changes no integral by F4. For a test , choose beyond its compact support. Then F2 and F3 give . This calculation applies to complex tests componentwise.
The equality on every test proves the distribution identity. The sign is positive because the negative transpose sign cancels the lower-endpoint sign. A test supported away from zero gives zero; the zero test gives zero; only the finite interval enters, so no endpoint at infinity is evaluated.
Derivatives of piecewise smooth functions include jump deltas
Example
Assume Countable Choice. Let be locally finite, and let be on each component of . Assume finite one-sided limits at every , and assume that the classical derivative off , assigned arbitrary finite values on , belongs to . Then The sum is locally finite. These hypotheses hold, in particular, when is up to each side of every break point.
Facts & Assumptions
Locally integrable functions have regular functionals, and under Countable Choice the embedding theorem makes them distributions; distribution derivatives are signed test transposes and Dirac masses evaluate tests (Regular distribution from a locally integrable function, Locally integrable functions embed in distributions, Distributional derivative, Dirac delta and its derivatives).
Complex integration by parts on closed intervals holds under Countable Choice (Complex integration by parts on intervals and decaying lines).
Dominated convergence passes limits through integrable complex functions (Dominated convergence).
Compactwise finite-order bounds characterize distributions (Local finite order characterization of distributions).
Assume The Axiom of Countable Choice () for the Lebesgue integration interfaces.
Proof
Given: and the stated assumptions.
By F1, and are distributions. Fix a test and a closed interval containing its support in its interior, with endpoints outside . Local finiteness and compactness imply is finite: take a finite subcover of neighborhoods each meeting finitely many points. List these break points in increasing order. On each intervening open interval apply F2 to on for sufficiently small positive . This gives [given, F1, F2, F5]
Let decrease to zero, for example through the reciprocal integers once the truncated interval is nonempty. F3 applies to the two integrals, with majorants and , integrable on by the local integrability assumptions. The boundary values tend to and by the finite one-sided limits; at the test vanishes. Sum over the finitely many intervals. At each break point , the left interval contributes and the right contributes . The result is exactly the asserted formula when paired with .
On any fixed compact test support , the delta sum is finite and bounded in modulus by . It therefore defines a distribution by F4, so the test equality proves the distribution identity. If there are no break points in the sum is zero, and a zero jump contributes no delta. If is up to both sides, and are bounded on each of the finitely many compact pieces meeting a compact interval, hence locally integrable, verifying the stated sufficient case. Merely being on the open pieces does not supply local integrability of at the breaks.
Distributional laplacian of the newtonian kernel
Example
Assume Countable Choice for Lebesgue integration. Set for and assign any finite value at zero. Then and .
Facts & Assumptions
Regular distributions integrate locally integrable functions; second distribution derivatives transpose with positive sign, and Dirac evaluates at zero (Regular distribution from a locally integrable function, Distributional derivative, Dirac delta and its derivatives).
Green's second identity applies to two real functions on a neighborhood of an elementary solid; complex tests are handled by real and imaginary parts (Green's second identity on a glued elementary solid region).
Elementary solids require simple descriptions in all three coordinate directions and one adapted compatible regular patch presentation (Elementary solid regions: one boundary presentation adapted in all three coordinate directions, Simple solid regions in a coordinate direction and their cyclic coordinate projection, Boundary presentations adapted to a simple solid region in a coordinate direction, Regular parametrized surface patches on compact Jordan parameter regions, Finitely patched regular surfaces, their area, scalar integrals, and flux). Closed discs are Jordan measurable with content (A closed disc of radius has Jordan content ).
Under Countable Choice, bounded Borel Riemann integrands on boxes have the same Lebesgue integral (Riemann–Lebesgue comparison for distribution test integrands). Apply this to zero extensions from balls, whose boundary has Jordan content zero by the simple descriptions in F3.
Dominated convergence applies to integrable complex functions (Dominated convergence).
Countable Choice supplies Lebesgue measure and box volumes (The Axiom of Countable Choice (), Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume).
Proof
Given: and Countable Choice. We use smooth radial regularization so Green's identity is applied only on the proved elementary ball, without assuming a presentation of a punctured solid.
For , divide into shells , . Each lies in a box of side , and there. F6 bounds the integral of by . A singleton is null since it lies in boxes of arbitrarily small volume. Thus is locally integrable and its value at zero is immaterial. Direct differentiation gives and off zero.
For put . This is smooth everywhere, and coordinate differentiation gives [step 1.1, algebra] For we supply the ball presentation required by F3. In each coordinate direction its base is the closed radius- disc and its lower and upper functions are and , continuous and strictly ordered on the interior. These descriptions also prove that the ball is Jordan measurable. Use the parametrization on the eight rectangles cut at and . It is smooth on neighborhoods of the rectangles and , nonzero on each interior. An interior image has three nonzero coordinates; its third coordinate uniquely determines and its first two uniquely determine the azimuth in its quadrant, so it shares its image with no other point of that closed rectangle. Distinct patches overlap only over rectangle edges, whose preimages have content zero. For each direction sort the four octants with positive coordinate as upper and the four with negative coordinate as lower, with no lateral patches. The corresponding area-vector coordinate has the required strict sign, and projected interiors are the four disjoint open quarter discs. Their omissions are the two diameters and boundary circle, all content zero: diameters admit arbitrarily thin rectangle covers; the circle lies in annuli of content by F3. Thus all adaptation clauses hold for the same eight-patch list. This proves the ball is elementary using only the definitions, not a B-page supplier. F2 on this ball with functions gives . The supplied parametrization has area density , by direct cross product. Its total area is , and its outward normal is . Thus [step 1.1, F2, F3, F4] F4 identifies these compact-region Riemann integrals with Lebesgue integrals. All Green functions are on a neighborhood of the entire closed ball.
Fix a test supported in the interior of . F2 for has zero boundary terms since and its derivatives vanish near the sphere. Hence . On the left, off zero, an integrable bound on by step 1.1, and almost everywhere. F5 gives convergence to .
For , the difference between and is bounded by times a mass at most one, plus . On the latter region, , so the second term tends to zero by finite box volume. First choose using continuity, then let . Together with step 2.1 this proves . Step 3.1 and F1 now give . This proves the identity with its positive sign. The zero test gives zero, and no value of the singular formula at zero is used.
Principal value distribution one over x
Example
The symmetric principal value exists for every and defines a distribution of order at most one on each compact support. Here the truncated integrals are proper Riemann integrals on the two finite intervals meeting the test support, taken componentwise. This construction holds in ZF.
Facts & Assumptions
Compactwise finite-order estimates characterize distributions (Local finite order characterization of distributions).
The mean-value inequality for complex curves gives on the joining interval (The mean value inequality: if is continuous and differentiable on with , then ).
Continuous real functions on compact intervals are Riemann integrable, and their integrals are linear and bounded by interval length times the uniform bound (Every continuous function on a closed nondegenerate rectangle in is Riemann integrable, Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in ). Apply componentwise for complex functions.
Proof
Given: a test supported in , with .
Changing to in the negative interval, which follows directly by reflecting its tagged partitions, gives for . The quotient extends continuously to with value by the definition of derivative. Its modulus is at most by F2. F3 therefore gives an integral on , and the omitted interval has integral tending to zero, bounded by a constant times . This proves existence of the principal value.
The expression is linear in , since each truncation is linear and limits preserve finite sums. For any fixed compact , choose with . The integral representation from step 1.1 gives for , by separately bounding real and imaginary integrals; the sharper bound also follows from the complex integral triangle inequality but is unnecessary. F1 proves continuity. An even test gives zero because the quotient vanishes. Tests supported away from zero give their ordinary integral against , and the zero test gives zero. The limit requires symmetric removal at zero, with no assertion about independently varying two cutoffs.
Not every distribution is a locally integrable function
Statement refuted
Every distribution on , , is represented by a locally integrable function. Under Countable Choice, is a counterexample.
Facts & Assumptions
Under Countable Choice the regular-distribution map is injective on almost-everywhere classes on every open domain (Locally integrable functions embed in distributions, The Axiom of Countable Choice ()).
Dirac is a distribution and (Dirac delta and its derivatives).
A test equal to one near zero exists (Test function cutoffs and euclidean localization).
A point is Lebesgue null, as a subset of a coordinate hyperplane (A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in ).
Proof
Given: Countable Choice and the witness .
Suppose with . On the open domain , all tests evaluate to zero at the origin, so F2 gives . F1 applied on this entire open domain, without selecting pointwise neighborhoods, gives almost everywhere on . By F4 the omitted singleton is null, so almost everywhere on .
Consequently , but F3 supplies with , and F2 gives . This contradiction proves that the witness is not regular and refutes the proposed universal statement. The zero function does represent the zero distribution; the failure is the nonzero point mass, not a failure of the regular-distribution construction. Dimension zero is excluded, since its singleton has mass one in the library convention.
Pointwise convergent functions need not converge as distributions without local control
Statement refuted
Pointwise convergence of smooth functions forces convergence of their regular distributions to the regular distribution of the pointwise limit. Assume Countable Choice for Lebesgue integration. Let be a smooth unit-mass bump supported in , set , and set for integers . Then for every , but weakly, so .
Facts & Assumptions
Under Countable Choice, locally integrable functions, hence smooth functions, define regular distributions; Dirac acts by evaluation (Regular distribution from a locally integrable function, Locally integrable functions embed in distributions, Dirac delta and its derivatives).
Compact nonnegative smooth bumps exist and may be rescaled and normalized to unit mass (Test function cutoffs and euclidean localization, The mollifier family generated by a unit-mass smooth bump).
Affine substitution holds for compact smooth integrands, and their componentwise Riemann and Lebesgue integrals agree under Countable Choice (A compactly supported Riemann integrand admits the global change-of-variables formula from a diffeomorphism near the relevant compact preimage, Riemann–Lebesgue comparison for distribution test integrands, The Axiom of Countable Choice ()).
Proof
Given: the fixed bump and its stated rescalings.
F2 supplies the bump by taking a nonzero nonnegative test with the required support and dividing by its positive finite integral. For , the support of lies in . Thus for every when , and for each fixed it is zero once . In particular the pointwise limit is zero even at the origin. Each , including , is smooth and compactly supported, so F1 applies.
For every test and every , the substitution from F3 gives . Since on the bump support, [step 1.1, F1, F3] Here positivity and unit mass give the inequality, and continuity at zero gives the limit. Thus the weak limit is . Choose a cutoff test equal to one near zero by F2; its pairings are eventually one, whereas the zero regular distribution pairs to zero. This is the failed conclusion for the explicit witness sequence. Its mass is one for every , concentrated in a shrinking interval; pointwise convergence alone does not control these pairings.
Compactly supported distributions have global finite order
Example
For open and a multi-index , the distribution has compact support and global order exactly . Its order on every compact containing a neighborhood of is also exactly . The claims hold in ZF.
Facts & Assumptions
Dirac derivatives satisfy (Dirac delta and its derivatives).
Compactly supported distributions have a global finite-order cutoff estimate (Compactly supported distributions have global finite order); compactwise order means the least integer in a derivative-seminorm bound (Order of a distribution on a compact set).
A compact smooth cutoff equal to one near a point exists inside any prescribed neighborhood (Test function cutoffs and euclidean localization).
Proof
Given: and .
F1 immediately gives , an explicit global estimate of order and constant one. It vanishes on tests supported away from . To see it is nonzero on every neighborhood of , take by F3 a cutoff equal to one near and multiply it by ; its derivative at is one. Thus the support is exactly , consistent with F2's compact-support theorem.
Suppose and fix compact containing a ball about . Choose supported in the unit ball and equal to near zero, by F3. For sufficiently small , let , whose support is in . Then , whereas for every integer , [step 1.1, F1, F3] An order- bound would force a pairing of modulus one to tend to zero, a contradiction. Thus no smaller order works on , or globally. For , the upper bound and nonvanishing in step 1.1 prove exact order zero, since allowable orders are nonnegative integers. Compacts avoiding give the zero restriction, and compacts without a neighborhood of are excluded from the sharp local assertion.
Sobolev weak derivatives belong to pde
Remark
The derivative supplied here is the distribution derivative: acts on a test by , as in Distributional derivative. It exists for every distribution, without assuming that it is represented by a function. Asking whether such a derivative has an integrable function representative is an additional question.
Sobolev spaces, their norms, boundary traces and weak-solution estimates belong to the PDE track. This pair supplies the test-function and distribution-derivative language they require; it makes no assertion here about Sobolev embeddings, regularity estimates or boundary-value problems. This is a scope boundary, with no theorem or future result consumed as a prerequisite.
5 · Examples, counterexamples and false statements
None yet.