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.
Weak Derivatives and Sobolev Spaces — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Areas of Elementary Plane Figures
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- 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
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- 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
- 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
- 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
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Smooth Partitions of Unity and Exhaustions
- 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 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 Radon Nikodym Theorem and Lebesgue Decomposition
- 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
- Weak Derivatives and Sobolev Spaces
2 · Summary
These companions compute and stress-test the page's claims. The absolute value on an interval has weak derivative the sign function, in contrast to its second distributional derivative , which places it in but not in . The Heaviside step and a hypersurface jump show that a distributional derivative can exist with no locally integrable representative, while the Cantor staircase is continuous and locally constant off a null set yet still fails to lie in . Sharp thresholds appear for the radial power on with and finite , which is in exactly when , and for the failure of the algebra property of below the continuity threshold. Piecewise functions with matching traces across a flat hypersurface remain with the expected piecewise gradient, whereas and Sobolev classes determine no point values and point evaluation is unbounded below the critical exponent. Finally, clipping an affine function shows that truncation preserves a zero region, its level sets, and the corresponding weak gradient.
The constructions use the main page's conventions: bounded open boxes or intervals in with the weak derivatives taken as almost-everywhere classes. Countable Choice is declared through the stated weak-derivative and measure interfaces, and the clipping example additionally declares the Axiom of Choice for the cited Sobolev truncation calculus.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A hypersurface jump is not
Statement refuted
Assume Countable Choice. Let with and let on , so that with on . Then for every , but its distributional normal derivative is surface integration against the coordinate hyperplane , and this distribution has no representative in . Consequently for every .
Facts & Assumptions
Given: Countable Choice, , , , , and on .
Countable Choice is the assertion that every sequence of nonempty sets has a choice function (The Axiom of Countable Choice ()).
For a measurable set , the indicator is measurable (An indicator function is measurable exactly when its set is measurable).
Under Countable Choice every box in is Lebesgue measurable with measure the product of its side lengths, so bounded boxes have finite measure (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
Under Countable Choice, every compact subset of has finite Lebesgue measure (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure).
Under Countable Choice, Lebesgue measure on is the completion of the product of the factor Lebesgue measures (The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures).
For a completed product of sigma-finite measures, sections of an integrable function are integrable outside null sets and the iterated integrals agree with the product integral (Tonelli and Fubini for the completed product, with only almost-everywhere section measurability).
For complex functions on , Countable Choice gives (Complex integration by parts on intervals and decaying lines).
A weak -derivative satisfies for every test , and membership in requires such an class with a locally integrable representative for every (Weak derivative of a locally integrable function, Integer-order Sobolev spaces and their norms).
There is a smooth function , equal to on a neighbourhood of the origin and compactly supported in ; its integral is a positive finite constant (A smooth bump between concentric Euclidean balls).
A test function in is smooth with compact support in ; the rescaled maps and the products built from smooth functions are again smooth with compact support, by the product and chain rules for coordinatewise derivatives (Test function space d of an open set, The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sums, scalar multiples, products and quotients: , , , and when ).
If , then for every there is such that implies (Absolute continuity of the integral).
Counterexample
The set is a box, so [F3] makes it measurable with finite measure , and [F2] makes measurable. For finite , ; for , , so for every , and in particular by [F4].
Let . Since is compact in , [F5] and [F6] apply to the integrable function and reduce the integral to the iterated integral over . For fixed the function is on the interval and vanishes at , so [F7] gives . Hence and by the distributional sign convention the normal derivative of is the surface functional
Suppose represented that normal derivative, that is for every test by [F8]. Combined with step 1.2 this means
Fix as in [F9] and let . Let be smooth, equal to on and supported in ; for put and , which is a test by [F10]. Step 2.1 evaluated at gives for every . On the other hand for the compact product by [F4], and the supports of the are contained in the slabs with by [F3]. Since , [F11] applied to on yields contradicting the constant value . Hence no locally integrable represents .
It remains to note the tangential directions. For and any test , the same Fubini reduction gives , because [F7] applied along the -th coordinate of the compactly supported function makes the inner integral vanish; so the tangential distributional derivatives are represented by the zero function. That does not remove the obstruction of step 3.1: by [F8] membership of in for any would require an class with a locally integrable representative for the multi-index , which step 3.1 rules out. Therefore for every , including both endpoints, although for every by step 1.1. The assumption used is Countable Choice [F1], spent through the box-measure, product-completion, Fubini and one-dimensional fundamental-theorem interfaces; no full Axiom of Choice occurs.
Sources
- Juha Kinnunen, Sobolev Spaces, Chapters 1–2: the indicator of a half-space is the standard example of an function whose normal distributional derivative is a surface measure and which therefore lies in no .
- John K. Hunter, Notes on Partial Differential Equations, Chapter 3: the one-dimensional step calculation and the surface-functional description of the jump derivative.
Cantor function has singular distributional derivative
Statement
Assume the Axiom of Choice. Let be the middle-thirds Cantor set, let be the Cantor staircase, and let be its Cantor measure. Then is null, and is constant on the closure of every complementary interval of , hence absolutely continuous there with classical derivative zero off . On the distributional derivative of is the restriction of , a nonzero singular measure with . In particular,
The phrase “absolutely continuous off a null set” here means absolutely continuous on each complementary interval separately; it does not assert absolute continuity across the Cantor set.
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 2 §2.6, Example 2.35(2), Theorem 2.36 (Nikodym, ACL characterization), and Remark 2.37(2), printed pp. 55–56. Example 2.35(2) uses the Cantor staircase's endpoint change and zero a.e. derivative in the fundamental theorem of calculus characterization to rule out absolute continuity. Theorem 2.36 and Remark 2.37(2) give the one-dimensional Sobolev representative criterion: after an a.e. redefinition, the representative is absolutely continuous on compact subintervals and its classical derivative agrees a.e. with its weak derivative. These are corroborating statements; the proof below independently identifies the distributional derivative.
- John K. Hunter, Notes on Partial Differential Equations, Appendix, Example 3.88, printed p. 83, and Theorem 3.94, printed p. 86. Example 3.88 states that the Lebesgue–Stieltjes measure of the Cantor function has mass one on and zero on its complement. Theorem 3.94 gives the integration-by-parts identity that identifies this measure as the distributional derivative.
Facts & Assumptions
Given: AC, the Cantor set , its Cantor function , and the Cantor measure .
AC implies Countable Choice (The Axiom of Choice, The Axiom of Countable Choice ()): given any sequence of nonempty sets, AC gives a choice function on its range, and composition with gives a selector for the sequence. This discharges the explicit CC assumptions in [F5] (Cantor nullity), [F6] (Cantor measure), [F9] ( membership), [F10] (weak-derivative restriction and uniqueness), and [F13] (Riemann–Stieltjes/Lebesgue–Stieltjes agreement). In [F18] only the choice-free regular-distribution pairing is used, not its CC-dependent injectivity theorem. No further choice principle is used.
The middle-thirds Cantor set and Cantor staircase are the objects defined in The Cantor middle-thirds set as the intersection of the sets obtained by removing open middle thirds and The Cantor function on , defined on the Cantor set through ternary digits and extended constantly across each removed interval.
The Cantor function is nondecreasing with and , and it is constant on whenever lie in and ; every point outside lies in one such gap (The Cantor function is well defined, satisfies whenever , is surjective onto , and is constant on every interval removed from the Cantor set).
The recursion defining starts at and satisfies ; induction shows for every , hence (The Cantor middle-thirds set as the intersection of the sets obtained by removing open middle thirds, The principle of mathematical induction).
The Cantor function is continuous on (The Cantor function is continuous on ).
Assuming Countable Choice, is Lebesgue measurable with (The Cantor set is an uncountable subset of of Lebesgue measure zero).
Under Countable Choice, is the Lebesgue–Stieltjes measure of the continuous nondecreasing extension of to ; it is a probability measure, has no atoms, is concentrated on , and is singular with respect to Lebesgue measure (The Cantor measure, Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on , The Cantor measure is a singular atomless probability measure concentrated on the Cantor set).
For the Cantor measure, ; applying this interval formula at and using [F3]–[F4] gives (Interval formulas and atoms for a Lebesgue-Stieltjes measure).
Every open subset of is the union of an at most countable pairwise disjoint family of open interval components (Every open subset of is a countable disjoint union of open intervals, namely its order components).
Membership in supplies an weak derivative satisfying for every test (Integer-order Sobolev spaces and their norms, Weak derivative of a locally integrable function).
Weak derivatives restrict to open subdomains, and a locally integrable weak derivative is unique almost everywhere (Linearity, locality, and commutation of weak derivatives, Uniqueness of a weak derivative as an almost-everywhere class).
The continuous function is Riemann integrable, and for it as integrand and a integrator , (The Cantor function is continuous on , A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion, A continuously differentiable integrator reduces Stieltjes integration to ordinary integration).
Since is nondecreasing, its increments on every partition of are nonnegative and their finite telescoping sum is ; hence has bounded variation by definition. A continuous integrand against a bounded-variation integrator has a Riemann–Stieltjes integral (The Cantor function is well defined, satisfies whenever , is surjective onto , and is constant on every interval removed from the Cantor set, Bounded variation and total variation on an interval, Laws of finite sums and finite products, A continuous integrand is Riemann–Stieltjes integrable against every bounded-variation integrator).
For continuous and the nondecreasing right-continuous function , (For a continuous integrand, the Riemann-Stieltjes and Lebesgue-Stieltjes integrals agree).
A nonnegative integral is monotone and agrees with the simple integral on indicators (Monotonicity and nonnegative homogeneity of the nonnegative integral, The integral of a nonnegative simple function).
Measures are countably subadditive (Finite and countable subadditivity of measures).
A compact subset of an open set admits a smooth compactly supported cutoff with and near that subset (Test function cutoffs and euclidean localization).
A constant function on a compact interval is absolutely continuous by the defining finite-disjoint-interval condition (Absolute continuity on a compact interval).
The regular distribution of is , and its distributional derivative satisfies (Locally integrable functions as regular distributions, Distribution, Distributional derivative).
By [F6], the Cantor measure is a finite Borel probability measure. For tests supported in a fixed compact , integration against it is complex-linear and obeys The supremum seminorm is continuous on each fixed-support test-function space, hence belongs to the test-function topology; this bound makes integration a distribution (Test function topology, Fixed support test function frechet space, The Lebesgue integral is linear on , The modulus of an integral is bounded by the integral of the modulus, Monotonicity and nonnegative homogeneity of the nonnegative integral, The integral of a nonnegative simple function).
For every , the reciprocal-form Archimedean corollary gives with ; its threshold consequence says for each . Thus some also satisfies , by taking (Complete ordered field (least-upper-bound property), For every in a complete ordered field there is a natural with , Canonical naturals are positive and strictly increasing, Inverses of positives are positive, and reciprocation reverses order).
If is continuously differentiable on a compact interval , then (The second fundamental theorem: if is differentiable on with and is integrable, then ).
Counterexample
Let be any sequence of nonempty sets. By AC, [F1], the range has a choice function ; then selects from every , proving Countable Choice. this discharges precisely the CC assumptions in [F5] (Cantor nullity), [F6] (the Cantor measure and its properties), [F10] (weak-derivative locality/uniqueness), and [F13] (Riemann–Stieltjes/Lebesgue–Stieltjes agreement). The Cantor staircase is a real continuous nondecreasing function on , with endpoint values and , and is constant on every closed gap of by [F2]–[F4]. Apart from invoking AC for this reduction, no further family of choices is made; each later CC use is through a named interface.
Put . It is open because is closed by [F22] and is open, so [F8] writes it as at most countably many disjoint intervals . Every endpoint lies in . The endpoints and belong to by [F23]; if an endpoint in were outside , closedness would put it in the open set , and a neighborhood would enlarge the component, contradicting maximality. Thus and . By [F3], is constant on ; by [F17] its restriction is absolutely continuous, and its classical derivative is throughout . Meanwhile is null by [F5].
Let be real-valued and extend it by zero to . Then . For a partition , the telescoping product identity is The first sum uses right-endpoint tags for , which exists by [F12]; the second uses left-endpoint tags for , which exists by [F11]. As the mesh tends to zero, each sum converges to its Riemann–Stieltjes integral, so the zero boundary term gives . By [F11], the right side is . The agreement in [F13] identifies the left side with ; since is supported inside , this equals . Thus For a complex test, apply the real identity separately to its real and imaginary parts; complex linearity of the distribution pairing and the measure integral then gives the same identity. The order-zero estimate in [F19] makes a distribution on . Hence is exactly the distribution induced by . Since [F6] makes singular and concentrated on the null set , and [F7] gives , this restricted measure is singular and nonzero.
Suppose and let be its weak derivative, as supplied by [F9]. For each component interval of , the constant function is a weak derivative of : for every choose containing its support. By [F21], , and constancy of on gives . By [F10], almost everywhere on each . The exceptional sets on these countably many intervals have null union by [F15]; [F5] makes the remaining Cantor set null too. Therefore almost everywhere on .
The compact intervals , , cover : for each , [F20] gives an with . Since by [F7], [F15] implies for at least one . Fix one such . The cutoff fact [F16] gives with and on a neighborhood of . By [F14], But the weak-derivative identity and step 2.1 give , contradicting step 1.3, which identifies the left side with . So .
Steps 1.1–1.2 show absolute continuity on every complementary gap away from the null Cantor set, while steps 1.3, 2.1, and 3.1 show that the distributional derivative is the nonzero singular Cantor measure and that no weak derivative exists. This is the claimed counterexample.
Lp and Sobolev classes do not determine point values
Statement
Assume Countable Choice. Let , let be a nonempty open set, and fix . For every , , and , the zero function and the point spike represent the same element of and , although and . Consequently evaluation at is not a well-defined operation on either equivalence class.
Facts & Assumptions
Given: Countable Choice, a nonempty open , , , , , and .
Every at most countable subset of is Lebesgue measurable and null under Countable Choice. In particular, is measurable and null. (Every at most countable subset of is Lebesgue null; in particular )
An indicator of a measurable set is measurable. (An indicator function is measurable exactly when its set is measurable)
An element is an almost-everywhere equivalence class of measurable representatives. (The space as the quotient by null functions)
A class has an representative whose weak derivatives lie in for every ; representatives and weak derivative classes are well-defined under Countable Choice. (Integer-order Sobolev spaces and their norms)
The zero multi-index derivative is the function class itself: . (Integer-order Sobolev spaces and their norms)
Weak differentiation is unchanged when both the input and derivative representatives are changed on null sets, for all under Countable Choice. (Weak differentiation ignores null-set changes)
A nonnegative measurable function has integral zero over a measurable null set. (A nonnegative integral over a null set vanishes)
Countable Choice, or , says that every sequence of nonempty sets has a choice function selecting one element from each set. (The Axiom of Countable Choice ())
Counterexample
Put . By [F1], is measurable and , so [F2] makes measurable. Both functions are locally integrable; for every compact , by [F6]. They agree at every , hence almost everywhere. For , again by [F6]; for , every positive superlevel set is empty or , so its measure is zero and . Thus in every by [F3], including both endpoints.
For every multi-index , zero has weak derivative zero because both sides of its test identity vanish. The functions are locally integrable and almost everywhere, so [F5] transfers the identity to : zero is a weak derivative of both representatives at every order. At the derivative class is their common zero class by [F7]; for it is the zero class. By [F4], both belong to with identical derivative classes through order , so every term in the Sobolev norm is zero. This includes , , and .
The representatives have different point values, and , although [F3] and [F4] identify them as the same and elements. A value at therefore cannot be assigned from either class alone. After fixing , the construction makes no choices; the stated Countable Choice hypothesis is exactly by [F8] and is carried only through the null-set, representative-independence, and Sobolev-class interfaces. No full Axiom of Choice is used.
A step has no locally integrable weak derivative
Statement
Assume Countable Choice. Let , let , and define by . Then for every . Its regular distribution satisfies but no represents this derivative. Consequently for every .
Facts & Assumptions
Given: Countable Choice, , , the indicator , and .
Countable Choice, or , says that every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice ())
The indicator of a measurable set is measurable. (An indicator function is measurable exactly when its set is measurable)
Under Countable Choice, intervals in are measurable with their length as measure, including open and closed endpoint conventions; degenerate intervals have measure zero. (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Under Countable Choice, every compact subset of is measurable and has finite Lebesgue measure. (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure)
The complex conventions use for finite and the essential bound for . (Complex Lp classes and Euclidean test-function conventions)
The simple integral of is , and the nonnegative Lebesgue integral agrees with that simple integral. (The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions)
If are nonnegative measurable functions, then . (Monotonicity and nonnegative homogeneity of the nonnegative integral)
For a measurable set , the integral over is the integral of the integrand multiplied by . (Integral over a measurable subset)
A complex measurable function is integrable when its modulus is integrable, and its integral is defined componentwise. (Integrable real and complex functions, and their integrals)
A test function in is smooth and has compact support in ; its zero extension is smooth on . (Test function space d of an open set)
The regular distribution of a locally integrable function is . (Locally integrable functions as regular distributions)
The distributional derivative obeys . (Distributional derivative)
The Dirac distribution is . (Dirac delta and its derivatives)
A locally integrable weak derivative satisfies for every . (Weak derivative of a locally integrable function)
Membership in requires an class with a locally integrable representative satisfying the first-order weak test identity. (Integer-order Sobolev spaces and their norms)
If , then for every there is such that implies . (Absolute continuity of the integral)
There is a smooth equal to on with support contained in . (A smooth bump between concentric Euclidean balls)
Composing smooth functions with the affine map preserves smoothness by the chain rule. (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with )
For complex functions on , Countable Choice gives the Lebesgue fundamental theorem . (Complex integration by parts on intervals and decaying lines)
For an integrable complex function , . (The modulus of an integral is bounded by the integral of the modulus)
A nonnegative integral over a measurable null set is zero. (A nonnegative integral over a null set vanishes)
Local integrability means finite integral of on each compact set. (Complex Lp classes and Euclidean test-function conventions)
Counterexample
By [F3], , , and each compact has finite measure; hence [F2] makes measurable. For finite , , so [F6] gives ; for , gives a finite essential bound by [F5]. Also by [F4, F7, F8], so by [F22] and its regular distribution is defined by [F11].
For , [F8, F9, F10, F11, F12] and step 1.1 give . The indicator convention [F8] applies to nonnegative integrands; for signed or complex , apply it to the positive and negative parts of each real component and subtract, using the componentwise integral in [F9]. The endpoints are measurable and null by [F3]; [F21] gives zero integral of on them, so the difference between the and integrals is zero by [F20]. Let be the smooth zero extension from [F10]; the interval FTC [F19] gives by [F13]. Thus in .
Suppose were a weak derivative. Then [F14] and step 2.1 give for every test . Choose one as in [F17]. For , set ; [F18] makes it smooth and its support is compactly contained in , so it is a test by [F10], with and . For , [F22] gives . The measurable sets have by [F3]; [F16] on the restricted measure space gives . But [F20], [F7], and the support and bound of give , a contradiction. Hence no locally integrable function represents .
By [F15], membership of in any would require a locally integrable representative of its weak first derivative, which step 3.1 rules out for every , including both endpoints. The assumption is exactly Countable Choice by [F1]; it is used through the interval-measure and compact-measure facts [F3, F4] and the interval FTC [F19]. The regular-distribution injection is not used, and no full Axiom of Choice or sequence of selections occurs.
Point evaluation is unbounded below the Sobolev continuity threshold
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.2, Examples 1.11–1.12, printed pp. 8–9. Example 1.11 proves existence of unbounded functions for ; Example 1.12 gives an unbounded function for . These examples motivate the exponent split but do not establish the test-function sequences or point-evaluation conclusion below. The exact smooth sequences and their norms are derived here.
Statement
Assume the Axiom of Countable Choice. Let , let be open with , let , and let . There is a sequence of real-valued (hence -valued) functions such that Thus evaluation at is unbounded on smooth compactly supported functions in the norm. No bounded linear functional on can agree with ordinary point evaluation at on every member of .
Facts & Assumptions
Given: Countable Choice, , an open set containing , a scalar field , and .
Countable Choice, written , says that every sequence of nonempty sets has a choice function (The Axiom of Countable Choice ()).
For finite , for (Integer-order Sobolev spaces and their norms).
Under Countable Choice, a smooth function's classical first partial derivatives are its weak derivatives (Classical derivatives agree with weak derivatives).
A test function on an open set is smooth with compact support contained in that set, and the real-valued test functions are included in the convention for either scalar field (Test function space d of an open set).
There is a smooth equal to on and with support contained in (A smooth bump between concentric Euclidean balls).
The Euclidean metric is ; hence if , then , and ( as the set of functions , and , , are metrics on it).
Since is open and contains , some ball with is contained in (The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, Open ball, closed ball and sphere in a metric space).
The support is the closure of the nonzero locus. Closed Euclidean balls are compact (The support of a function on and its compactly supported Riemann integral, Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).
Continuous real functions on compact metric spaces are bounded and attain their extrema (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
Under Countable Choice, a box with side lengths is measurable with measure ; Lebesgue measure is monotone under inclusion (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Measures are monotone).
For a nonnegative measurable function, integration is monotone and positively homogeneous; a constant on a measurable set integrates to that constant times its measure (Integral over a measurable subset, Monotonicity and nonnegative homogeneity of the nonnegative integral, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions).
Continuous Euclidean functions are Borel measurable under Countable Choice, Borel sets (including open and closed sets) are Lebesgue measurable under Countable Choice, and the norm for finite is defined using the integral of (Continuous functions on Euclidean spaces are Borel measurable, Assuming countable choice, every Borel subset of is Lebesgue measurable, Complex Lp classes and Euclidean test-function conventions).
The library standard smooth step is denoted by ; write to distinguish it from the polar surface measure. Its formula is smooth across the endpoints because the flat function has all derivatives zero at zero, and it takes values in from the positive formula on and the constant values outside (The standard smooth step function, The standard flat function is smooth and flat at zero, The standard flat function, The exponential is positive and satisfies ).
The same step is for and for (The standard smooth step function).
Coordinate chain, sum, and product rules hold; smoothness means all iterated coordinate derivatives exist and are continuous. For , , and integer negative powers have their usual derivatives. Consequently is smooth, and the compositions with used below are smooth on : repeated differentiation uses the chain and product rules and derivatives of ( maps and multi-index derivative notation in Euclidean space, The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sums, scalar multiples, products and quotients: , , , and when , The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, Integer powers , For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term).
The logarithm satisfies its product, quotient, and reciprocal laws and ; the exponential is smooth, positive, satisfies and , and is strictly increasing (The natural logarithm as the inverse of the exponential function, Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm, The real exponential function and the number by a power series, The exponential function is smooth and , The exponential addition formula , The exponential is positive and satisfies , The exponential function is strictly increasing).
For positive base , , and real powers obey their exponent laws. For a fixed real exponent , on ; the mean value theorem therefore gives whenever and (Real powers for positive bases, with the zero-base positive-exponent convention, The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents, Continuity and derivatives of positive-base real powers, The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
The natural numbers are unbounded in , so any fixed real threshold is exceeded by an integer (Every complete ordered field is Archimedean).
Under Countable Choice, polar coordinates integrate nonnegative Borel functions using , where the sphere measure is finite (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).
Under Countable Choice, bounded Riemann integrable functions on compact intervals have equal Riemann and Lebesgue integrals. A monotone substitution with nonzero derivative changes a one-dimensional Riemann integral by the absolute derivative; and the fundamental theorem evaluates the integrals used below (In one dimension the compact-Jordan formula is substitution over the unoriented image interval with the absolute derivative, A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral, The second fundamental theorem: if is differentiable on with and is integrable, then ).
For each natural and , the defining exponential series has nonnegative terms and includes its -th term, so . This follows from the series definition and the fact that its sum bounds every partial sum (The real exponential function and the number by a power series, The factorial and the falling factorial , defined by recursion in , Canonical naturals are positive and strictly increasing, A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum). Consequently for
For each natural degree and real , as (The exponential dominates every fixed nonnegative integer power at ).
A bounded linear operator between normed spaces has a constant with for every (A bounded linear operator between normed spaces).
Choice use. The exact assumption is . It is needed by the Sobolev definition [F2], classical-derivative compatibility [F3], box measure formula [F10], continuous/Borel measurability and Lebesgue measurability [F12], polar coordinates [F19], and the Riemann-to-Lebesgue comparison [F20]. The constructions below make no arbitrary sequence of choices; the fixed integer cutoffs are obtained from [F18] and the pointwise estimate in [F21] and limit assertion in [F22].
Counterexample
The declared choice principle is exactly Countable Choice. [F1, given] Its uses are confined to the supplier hypotheses listed in the Choice use note [F2, F3, F10, F12, F19, F20]; the integer cutoffs below use the Archimedean property and the displayed limit, not additional choices.
Openness supplies a positive closed ball, and the common cutoff bound is finite. [F5, F7, F9, construct] Choose so that , after taking an open ball about and reducing its radius. Take from [F5] and let This is finite by [F9]. Also and .
For , the scaled smooth bumps have supports shrinking to zero and values diverging there. [F4, F5, F8, F15, F17, F18, step 1.2, construct] By [F18] choose an integer with , then choose an integer . For each , put and Since and , . The support of , and of each of its first derivatives, lies in ; thus [F4] gives . The chain rule gives The derivative support assertion follows because a smooth function is zero with all derivatives on the open complement of its support.
If , the logarithmic radial cutoffs are smooth, supported, diverge at zero, and have the displayed gradient bound. [F4, F6, F8, F13, F14, F15, F16, F22, step 1.2, construct] By [F22], as integers : apply its limit assertion with , polynomial degree , and , and use for and [F16]. Choose an integer so that for . For each , set , , and . Since , [F16] gives , so . With by [F6], define For , the scalar argument equals , by [F16]. The polynomial and the composition with are smooth where , by [F15]; is constant near . Since is smooth and constant on both half-lines beyond , the pieces join smoothly at both radii. Its support lies in , so [F4] gives , and . On the annulus, differentiation gives Outside the annulus the derivatives vanish, including at the joining radii because the step is smooth and constant on the adjacent half-lines.
The subcritical construction has a uniform bound. [F2, F3, F5, F10, F11, F12, F17, step 1.2, step 2.1] The ball lies in a cube of measure , by [F10]. The pointwise bounds from [F5] and step 1.2, measurability from [F12], and integral monotonicity and homogeneity [F11] give Both exponents are negative: by the choice of , and follows since . Thus [F17] makes both quantities uniformly bounded for . Since the classical derivatives are weak derivatives by [F3], [F2] now gives .
Polar integration gives a uniform bound for each critical gradient term. [F16, F19, F20, step 2.2] For each , Since , [F16] and the fundamental theorem in [F20] give . Therefore which is uniformly bounded because and .
The core and annulus estimates give a uniform critical bound for the function term. [F10, F11, F13, F14, F16, F17, F19, F20, F21, step 1.2, step 2.2] On the core , [F10] bounds the measure by ; hence by the choice of . For the annulus, the mean value theorem and the derivative bound in step 1.2 imply for . The substitution is decreasing: its oriented endpoints are and , and reversing them gives the positive integral on with Jacobian . Thus [F20] gives Here [F21] gives ; since , monotonicity of the exponential in [F16] gives , and [F20] evaluates . Applying [F19] to this radial annulus integral and multiplying by yields also uniformly bounded.
These estimates bound the critical norm while the origin values diverge. [F2, F3, step 3.2, step 3.3] Steps 3.2 and 3.3 bound the function term and each of the first derivative terms in [F2] uniformly in . By [F3], the classical derivatives are the weak derivatives, so , while .
Any bounded extension contradicts divergence of the corresponding test sequence at zero. [F23, step 3.1, step 4.1, assume-contra, discharge-contradiction] Suppose a bounded linear functional agreed with ordinary point evaluation on all test functions. Boundedness would give a constant such that, for the corresponding sequence, The right side is uniformly bounded by step 3.1 or step 4.1, while the left side tends to infinity. This contradiction proves unboundedness and rules out the asserted bounded extension. ∎
The absolute value has a weak first derivative
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.1, Example 1.7, printed pp. 2–3, fully works a related piecewise-affine weak-derivative identity by splitting the test integral and integrating by parts. Chapter 2 §2.2, Theorem 2.3, printed pp. 29–31, proves the absolute-value rule for general functions when by smooth approximation and dominated convergence; it specifies the gradient a.e. on the positive, zero, and negative level sets. This item does not use that later theorem as a prerequisite or as its proof.
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, Chapter 8 §8.2, Examples (i), printed p. 202, states the exact example on for all and gives its derivative on either side of zero. Brezis labels the calculation an exercise and does not supply the proof. The argument below proves the claim for every bounded open interval containing zero, including .
Statement
Assume the Axiom of Countable Choice. Let be a bounded open interval with , and set . Then for every . Its weak derivative class has the representative for any finite real .
Facts & Assumptions
Given: Countable Choice, a bounded open interval with , and .
The exact assumption is Countable Choice, denoted (The Axiom of Countable Choice ()).
The test space is and its members are actual smooth functions with compact support (Test function space d of an open set).
A locally integrable is the weak first derivative of exactly when for every test (Weak derivative of a locally integrable function).
Membership in requires an class for and an class for its weak derivative, with the zero-order derivative equal to (Integer-order Sobolev spaces and their norms).
Changing locally integrable representatives on a null set preserves the weak-derivative identity; objects are almost-everywhere classes (Weak differentiation ignores null-set changes).
Write . Boundedness and openness give finite endpoints ; gives (Intervals of : the nine order-convex forms, nondegeneracy, and length).
Under Countable Choice, is measurable with measure , and every singleton is a zero-length box of measure zero (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
Continuous real functions are Borel measurable, and Borel sets are Lebesgue measurable under Countable Choice (Continuous functions on Euclidean spaces are Borel measurable, Assuming countable choice, every Borel subset of is Lebesgue measurable). The piecewise-constant function below is Borel because its level sets are intervals and a singleton.
For each finite , is nondecreasing on . For , the mean value theorem and on give ; at zero, and positive-base powers are positive (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with , Continuity and derivatives of positive-base real powers, Real powers for positive bases, with the zero-base positive-exponent convention, The exponential is positive and satisfies ).
For finite , membership in means measurability and finiteness of (Complex Lp classes and Euclidean test-function conventions).
Integration over a measurable set is integration after multiplication by its indicator. The nonnegative integral is monotone and homogeneous, and a nonnegative simple function integrates by its simple-integral formula (Integral over a measurable subset, Monotonicity and nonnegative homogeneity of the nonnegative integral, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions).
A nonnegative measurable function has integral zero over a measurable null set (A nonnegative integral over a null set vanishes).
The product rule holds for differentiable real functions (Sums, scalar multiples, products and quotients: , , , and when ).
Every bounded function on a closed interval that is continuous except at finitely many points is Riemann integrable (A bounded function on that is continuous except at finitely many points is Riemann integrable).
Newton–Leibniz holds for a continuous function whose interior derivative has a Riemann-integrable extension; finitely many exceptional interior points are allowed (Newton–Leibniz remains valid across finitely many exceptional interior points when the primitive is continuous).
Riemann integration on a closed interval is linear (Integrable functions on form a set closed under sums and scalar multiples, and ).
Under Countable Choice, a bounded Riemann-integrable function on a closed interval is Lebesgue measurable and its Lebesgue and Riemann integrals agree (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral).
The defining requirement for an class uses the measurable function and integral conventions in [F10]; for a bounded measurable on , the majorant is simple, has integral , and bounds whenever (derived from [F7], [F9], [F10], [F11]).
Complex test pairings are bilinear and use no conjugation (Test function space d of an open set).
Complex integrals are defined componentwise (Complex Lp classes and Euclidean test-function conventions).
For , a finite almost-everywhere bound is sufficient for membership (Complex Lp classes and Euclidean test-function conventions).
Nonnegative powers of nonnegative measurable functions are measurable (Complex Lp classes and Euclidean test-function conventions).
Boundedness gives a finite with on (Lower bound, bounded below, bounded set, Basic properties of the absolute value).
Choice use. The declared principle is exactly . It is used through the Sobolev definition, representative-independence lemma, interval measure formula, Borel-to-Lebesgue measurability, and Riemann-to-Lebesgue integral comparison. The explicit piecewise calculation itself is choice-free; no full Axiom of Choice or Dependent Choice is invoked.
Proof
The declared assumption is exactly ; the proof uses it only through the interfaces listed in the Choice use note.
Let . Define for , , and for . By [F8], both and are measurable: extend continuously to , and note that the level sets of are Borel intervals and the singleton . Choose as in [F23]. For each finite , is measurable by [F22] and bounded by by [F9]; also is the indicator of and is bounded by . Thus [F11] and [F18] give For , and . Hence [F21] gives membership in ; the p=1 estimates also give local integrability.
Fix a real-valued test . Its zero extension to is smooth by [F2] and vanishes near both endpoints. Set Then is continuous on , is bounded and continuous except possibly at , and [F14] makes Riemann integrable. By [F13], for every , . Also .
Apply [F15] with exceptional set to the data in step 1.3. It gives
The two summands of are Riemann integrable: is bounded and has at most one discontinuity, while is continuous. By [F14] and [F16], step 2.1 yields
Each integrand in step 3.1 is bounded and Riemann integrable, so [F17] converts the identity to Lebesgue integrals on . The endpoints are null by [F7], and [F12] shows that removing them does not change either integral. Thus For a complex-valued test, apply the real identity to its real and imaginary parts and add the identities with coefficient ; the bilinear convention in [F19] and componentwise integration in [F20] give the same formula.
By [F3], step 4.1 proves that is the weak derivative of . For any finite , the representative differs from only on the null singleton by [F7]; [F5] therefore preserves the weak-derivative identity and its class, including the essential class when . Since both and belong to every by step 1.2, [F4] gives for every , with derivative represented by every . The cases and are included in the bounds of step 1.2. ∎
Matching pieces across a hyperplane have no jump derivative
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.1, Example 1.7, printed pp. 3–4, proves the weak derivative identity for a continuous piecewise affine function with a matching value at its single break point by splitting the one-dimensional integral and applying integration by parts and the fundamental theorem of calculus. This is a one-dimensional model only.
- John K. Hunter, Notes on Partial Differential Equations, Chapter 3 §3.2, Example 3.3, printed p. 48, computes the one-dimensional test pairing for the continuous positive-part function and its step-function weak derivative. That calculation is the one-dimensional slice model used here; it does not state the higher-dimensional result.
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, Chapter 8 §8.2, Examples (i) and the following sentence, printed pp. 202–203, states as exercises that lies in for every and that a continuous piecewise- function on a closed interval lies in for all such . The source gives no proof of those exercises and treats only one dimension. The multidimensional claim below is proved by coordinate slices.
Statement
Assume the Axiom of Countable Choice. Let , let , and put For , let be up to the boundary: each is continuous on its closed half-box and each first partial derivative on the interior extends continuously to that half-box. Suppose Define on by when and when , and let ; matching traces give continuity across the interface inside . For , define using the continuous boundary extensions in the first two cases. Then for every , Thus the weak first derivatives agree almost everywhere with the classical derivatives on the two open half-boxes; their values on the interface are irrelevant.
Facts & Assumptions
Given: The Axiom of Countable Choice, , the two closed half-boxes, the functions and their matching traces, and a test function .
The only choice assumption declared here is the Axiom of Countable Choice, which says that every countable family of nonempty sets has a choice function (The Axiom of Countable Choice ()).
The weak derivative identity for a first coordinate derivative is for every test function (Weak derivative of a locally integrable function, Test function space d of an open set). Test functions have compact support in and extend by zero to smooth compactly supported functions on ; their boundary values on vanish. The pairing is complex bilinear, without conjugation (Test function space d of an open set).
Membership in requires an class for the function and for each weak first derivative; the zero multi-index is the function itself (Integer-order Sobolev spaces and their norms, maps and multi-index derivative notation in Euclidean space). A weak derivative value class is unique almost everywhere under Countable Choice (Uniqueness of a weak derivative as an almost-everywhere class).
The closed half-boxes are compact, and continuous real functions on a compact metric space are bounded; apply this to real and imaginary components and to the continuous derivative extensions and test derivatives. The complex modulus is bounded by the sum of the absolute values of its real and imaginary parts (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value, Real and imaginary parts, complex conjugation, and modulus, Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
A continuous map has Borel preimages of Borel sets, and the Borel sigma algebra on a subspace is the trace of the ambient Borel sigma algebra (A continuous map has Borel preimages of Borel sets, The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra). The half-boxes are closed and hence Borel (The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, The Borel sigma-algebra of a topological space). Consequently finite piecewise gluing on the two open half-boxes and the interface is Borel. Continuous test functions and their derivatives are Borel (Continuous functions on Euclidean spaces are Borel measurable); Borel functions on are Lebesgue measurable under Countable Choice (Borel measurable and Lebesgue measurable functions on , Assuming countable choice, every Borel subset of is Lebesgue measurable). Sums and products of real and complex measurable functions remain measurable by the componentwise arithmetic rules (Arithmetic and lattice operations preserve measurability whenever they are defined, Complex Lp classes and Euclidean test-function conventions).
Under Countable Choice, has measure and every box with a degenerate side, including the interface inside a bounded box, is null (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included). Lebesgue measure on each Euclidean factor is sigma-finite (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure).
Real and complex classes are formed from measurable representatives with finite -integral, or an essential bound for (The space as the quotient by null functions, The function space for , The space of essentially bounded measurable functions, Complex Lp classes and Euclidean test-function conventions). For , is increasing on : on this follows from its positive derivative and the mean-value theorem, while at zero it follows from and positivity of positive powers (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with , Real powers for positive bases, with the zero-base positive-exponent convention, The exponential is positive and satisfies , Continuity and derivatives of positive-base real powers).
If a measurable function is bounded by and , then its modulus and each finite positive power have finite integral: the majorant is a simple function with integral , and the nonnegative integral is monotone (Integrable real and complex functions, and their integrals, Integral over a measurable subset, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions, Monotonicity and nonnegative homogeneity of the nonnegative integral).
On a closed interval, if a continuous function is differentiable except at finitely many interior points and an integrable extension agrees with elsewhere, then (Newton–Leibniz remains valid across finitely many exceptional interior points when the primitive is continuous). Bounded functions continuous except at finitely many points are Riemann integrable (A bounded function on that is continuous except at finitely many points is Riemann integrable), and bounded Riemann integrable functions have the same Riemann and Lebesgue integrals under Countable Choice (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral). The product rule holds on each smooth real-valued piece; the complex case is obtained componentwise (Sums, scalar multiples, products and quotients: , , , and when ).
The Euclidean Lebesgue measure on is the completion of the product of the factor Lebesgue measures under Countable Choice (The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures). Tonelli-Fubini applies to integrable functions for that completed product and gives measurable integrable sections outside factor-null sets (Tonelli and Fubini for the completed product, with only almost-everywhere section measurability).
A coordinate permutation is orthogonal and preserves Euclidean Lebesgue measure (The Euclidean inner product on , Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces, Lebesgue measure on is invariant under every orthogonal linear map); integrals of integrable functions are invariant under a measure-preserving map (Measure-preserving transformations and systems, Integral invariance under measure-preserving maps). The complex Lebesgue integral is componentwise and linear on (Complex Lp classes and Euclidean test-function conventions, The Lebesgue integral is linear on ).
Proof
The two half-boxes are compact, so [F4] gives a finite pointwise bound for and every continuous extension of . Extend and the by zero outside . On each closed half-box, the source functions and derivative extensions are continuous; using the Borel trace fact in [F5], their level preimages on each piece are Borel. The piecewise definitions on the strict half-boxes, the interface (where ), and the complement of therefore make these extensions Borel. The test functions and their first derivatives are Borel by [F5]. Hence , , and the integrands formed from them and the tests are Lebesgue measurable under the exact assumption [F1].
For each test , set and extend by zero off . The bounds from [F4] and compact support of the test give a finite constant with , so by [F6, F8]. Put ; each representative satisfies . For finite , [F7] gives , so [F6, F8] proves their membership; for the pointwise bound proves essential boundedness. The case also gives local integrability. The interface is null by [F6], so the chosen values there do not change the a.e. classes. All measure claims here use [F1].
Fix and , and put on . It is continuous at because the two traces agree; on each side the product rule [F9] gives . The section is bounded and continuous away from at most , so it is Riemann integrable by [F9]. Apply finite-exception Newton-Leibniz [F9] with exceptional set . Compact support makes , so the Riemann integral of the section is zero; under Countable Choice its Lebesgue integral is the same by [F9] and [F1]. Whenever are complex-valued, split both into real and imaginary parts; componentwise integration in [F11] preserves zero.
Fix and reorder only the first coordinates so is first and remains last. This orthogonal coordinate permutation preserves the integral of by [F11]. For fixed other coordinates with , is continuously differentiable on and has derivative along the section by [F9]. Its endpoints vanish, so finite-exception Newton-Leibniz gives zero section integral, first as a Riemann integral and then as a Lebesgue integral. The excluded parameter set is a degenerate box in and is null by [F6] under [F1], so the section integral is zero for almost every ; for complex-valued products split into real and imaginary parts as in step 3.1.
Under [F1], [F10] applies Fubini to in and to each tangential after the permutation in step 4.1 in . Steps 3.1 and 4.1 give zero section integrals almost everywhere, so For the weak identity is the identity itself; for it is exactly the weak-derivative test identity [F2], with locally integrable by step 2.1. Uniqueness [F3] identifies this value class as , and the bounds of step 2.1 with the Sobolev definition [F3] give for every .
Sharp Sobolev threshold for a radial power
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.2, Example 1.10, printed pp. 6–7. For and , the example differentiates off the origin, integrates by parts on the punctured ball, and bounds the inner boundary term by a constant times ; it then computes the and thresholds for . The source's weak-derivative argument requires , which is implied by its Sobolev range. It does not cover , the threshold for , or the statement. Those cases and the cutoff proof below are supplied here.
Statement
Assume the Axiom of Countable Choice. Let , , and . For an arbitrary finite , define by and for . For every finite , and Whenever , the weak derivative is the almost-everywhere class represented off the origin by ; one may set . In all dimensions , and therefore .
Facts & Assumptions
Given: The Axiom of Countable Choice, , , the unit ball , , and a test function .
The only choice principle assumed is the Axiom of Countable Choice, written : every countable family of nonempty sets has a choice function (The Axiom of Countable Choice ()).
For , the function class and each first weak-derivative class must be in ; the zero multi-index is the function itself (Integer-order Sobolev spaces and their norms). Real classes are equivalence classes of measurable representatives with finite -integral, and means essentially bounded (The space as the quotient by null functions, The function space for , The space of essentially bounded measurable functions). The weak first-derivative identity is for every test, with the complex bilinear convention and no conjugation (Weak derivative of a locally integrable function, Test function space d of an open set, maps and multi-index derivative notation in Euclidean space).
Under , polar integration for nonnegative Borel functions uses the finite Borel sphere measure and density ; by definition (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, The polar surface set function on the unit sphere). In particular the origin is null, and is positive once the unit ball has positive measure.
For real and , dyadic annuli give exactly when ; in that case the integral is bounded by for a finite . Indeed, on , monotonicity of real powers bounds the integral by a constant times when , and bounds it below by such terms when . Monotone convergence passes from finite unions of annuli to , and the geometric series converges exactly for a ratio in (Real powers for positive bases, with the zero-base positive-exponent convention, The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents, Continuity and derivatives of positive-base real powers, The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with , The natural logarithm as the inverse of the exponential function, Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm, The exponential is positive and satisfies , For , , and for the series diverges, Monotone convergence for the integral). Interval lengths and the integrals of their constant majorants are given by the box and nonnegative simple-integral rules (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Integral over a measurable subset, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions, Monotonicity and nonnegative homogeneity of the nonnegative integral).
The Euclidean norm is continuous, open balls are Borel, and continuous maps have Borel preimages; Borel sets in a subspace are traces of ambient Borel sets. Thus functions continuous off a Borel point and finitely glued on Borel pieces are Borel. Under , Borel functions on are Lebesgue measurable ( as the set of functions , and , , are metrics on it, Open ball, closed ball and sphere in a metric space, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, The Borel sigma-algebra of a topological space, A continuous map has Borel preimages of Borel sets, The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra, Continuous functions on Euclidean spaces are Borel measurable, Borel measurable and Lebesgue measurable functions on , Assuming countable choice, every Borel subset of is Lebesgue measurable). Every Euclidean ball has positive finite Lebesgue measure under the same assumption (Euclidean balls have positive finite Lebesgue measure).
A smooth bump exists with , on , and compact support in (A smooth bump between concentric Euclidean balls). Its first derivatives are bounded by continuity on a compact set (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value); coordinatewise chain and product rules give the scaled-cutoff derivatives (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sums, scalar multiples, products and quotients: , , , and when ). A compactly supported smooth test and its first derivatives are bounded by the same compactness argument (Test function space d of an open set).
A function on an open Euclidean set has its classical first partials as weak derivatives under (Classical derivatives agree with weak derivatives). Weak differentiation restricts to open subsets, and weak derivatives are unique almost everywhere under (Linearity, locality, and commutation of weak derivatives, Uniqueness of a weak derivative as an almost-everywhere class).
Complex test pairings are bilinear, with no conjugation, and the complex Lebesgue integral is taken componentwise and is linear on (Complex Lp classes and Euclidean test-function conventions, The Lebesgue integral is linear on ).
Proof
For , coordinate differentiation gives and . On these functions are continuous; assigning finite values at and extending by zero off is finite Borel gluing by [F5]. Hence the representatives, their finite-power integrands, and the radial functions used with [F3] are Borel and Lebesgue measurable under [F1].
Put . By [F4], is finite exactly for and then . Applying the polar formula [F3] to and to the candidate gradient magnitude gives and . The factor is finite and positive by [F3, F5]; for the same formulas yield when and when .
The first polar identity in step 2.1 shows that exactly when , since changing affects only the null singleton [F3]. For every , choose ; then on , a set of positive measure by [F5] and [F3]. Thus is essentially unbounded and cannot lie in . By [F2], it also cannot lie in .
Suppose and . Then , so step 2.1 places and every in and gives the small-ball bounds. Fix one bump from [F6], set , and for . Then on , off , and . The product , defined as zero near the origin, is and has classical partial away from by [F6]. For each real test , [F7] gives . The left-side error from replacing by is at most ; the missing term is , and the cutoff term is at most . All tend to zero because . Thus for real tests. Split a complex test into real and imaginary parts and use [F8] to obtain the same identity for every complex test.
Conversely, suppose for finite . For each its weak derivative has an representative. On , locality and classical compatibility in [F7], followed by uniqueness in [F7], identify that representative almost everywhere with from step 1.1. The origin is null by [F3]. Pointwise, , so the gradient magnitude is in . The second polar identity in step 2.1 can be finite only if ; at or above the threshold [F4] gives divergence.
If , then , so step 3.1 gives ; step 3.2 gives all first weak derivatives in , and [F2] gives . Step 3.3 proves the converse. Since and , the condition is impossible when . In the admissible range step 3.2 identifies ; [F3] makes the chosen value at irrelevant. Together with the conclusion of step 3.1, this proves every assertion.
Subcritical is not closed under multiplication
Statement refuted
Assume the Axiom of Countable Choice, inherited from the cited sharp radial-power example. Let and , let and let satisfy on . Choose a real exponent Define by and for . Then , while its square does not belong to .
Thus is not closed under pointwise multiplication in the subcritical range ; the interval for is nonempty exactly because .
Facts & Assumptions
Given: Countable Choice, , , the ball , a cutoff with on and , and an exponent with .
The Axiom of Countable Choice, written , is the only choice principle assumed (The Axiom of Countable Choice ()).
Sharp radial-power threshold: with and for , one has if and only if , for real (Sharp Sobolev threshold for a radial power).
Membership in means the class and every first weak-derivative class lie in (Integer-order Sobolev spaces and their norms).
For real and : if then , and if then ; the borderline case diverges logarithmically. This follows from the power derivative and the fundamental theorem on together with monotone convergence, and from the natural logarithm in the borderline case (Real powers for positive bases, with the zero-base positive-exponent convention, Continuity and derivatives of positive-base real powers, Monotone convergence for the integral, The natural logarithm as the inverse of the exponential function).
Under , the polar-coordinate formula expresses for nonnegative Borel radial integrands, with finite positive surface measure (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).
There is a smooth equal to on with support in (A smooth bump between concentric Euclidean balls).
If and , then and the Leibniz formula represents its weak derivatives in (Weak Leibniz rule with a smooth factor).
A function on an open Euclidean set has its classical first partials as weak derivatives; weak differentiation restricts to open subsets; and locally integrable weak derivatives are unique almost everywhere (Classical derivatives agree with weak derivatives, Linearity, locality, and commutation of weak derivatives, Uniqueness of a weak derivative as an almost-everywhere class).
Counterexample
The choice gives , so by [F2] the power function with and for lies in . The other inequality gives , equivalently the radial exponent satisfies . Since and we have , so the displayed interval for is nonempty and contained in .
Fix as in [F6] and on ; then agrees with the definition of the Statement off the origin and . Since and , [F7] gives , with weak gradient represented by the Leibniz formula .
Suppose for contradiction that , and let be a representative of its weak gradient. On the punctured ball the function is , with classical gradient By [F8] the classical gradient is the weak gradient of , while restricting the global weak gradient to the open subset gives another weak gradient of the same restriction; uniqueness almost everywhere on therefore gives almost everywhere on .
On the cutoff satisfies and , so step 3.1 gives there. Since is null, [F5] and [F4] yield because the exponent satisfies by step 1.1 and the surface measure is finite and positive. This contradicts , so .
The counterexample is therefore complete: is a function with , in the range , . The endpoint is excluded by the hypothesis, and the construction degenerates at in dimension , where Sobolev functions are continuous and multiplication is well behaved; neither case is claimed here. The only choice principle used is Countable Choice [F1], inherited from the sharp radial example and spent through the polar-coordinate interface [F5]; no full Axiom of Choice is used.
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.2, Example 1.10 and the standard observation that the subcritical threshold for the radial power is not closed under multiplication: the square has a strictly worse singularity, , and its -th power fails to be integrable exactly when .
- John K. Hunter, Notes on Partial Differential Equations, Chapter 3: the same radial computation, used here with the localisation and uniqueness interfaces of the library.
Absolute value has a Dirac second derivative
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.1 and Example 1.10, printed pp. 2–7: the absolute value is the standard example of a first-order weak derivative that is not continuous, and its second distributional derivative is the Dirac mass .
- John K. Hunter, Notes on Partial Differential Equations, Chapter 3 §3.1, printed pp. 47–49: the same computation, split at the corner, with the jump of the first derivative contributing the mass.
Statement
Assume Countable Choice. On the function is locally integrable, and its second distributional derivative is that is for every test function . Consequently but : the distribution is not the regular distribution of any locally integrable function.
Facts & Assumptions
Given: Countable Choice, the function on , and a test function .
For the regular distribution is ; the resulting map is injective on almost-everywhere classes under Countable Choice (Locally integrable functions as regular distributions).
The distributional derivative satisfies (Distributional derivative).
The Dirac distribution is (Dirac delta and its derivatives).
Under Countable Choice, integration by parts on a compact interval gives and for complex functions (Complex integration by parts on intervals and decaying lines).
A test function in is smooth with compact support; its zero extension to is smooth with compact support, so outside a sufficiently large the function and all its derivatives vanish (Test function space d of an open set).
Under Countable Choice, for every and every bounded open interval containing , with weak derivative the class of the sign function (The absolute value has a weak first derivative).
Under Countable Choice, a function on an open set has its classical first partials as weak derivatives (Classical derivatives agree with weak derivatives).
Membership in requires a locally integrable weak derivative class for every multi-index , and means membership on every relatively compact open subinterval; the weak derivative is characterized by the signed test identity (Integer-order Sobolev spaces and their norms, Weak derivative of a locally integrable function).
Assume Countable Choice. For every open , the regular-distribution map is injective modulo almost-everywhere equality: if and for every test function , then almost everywhere on (Locally integrable functions embed in distributions).
If with compact and open, then there is a smooth with on and ; applied on to the compact set inside the open interval , this provides a test function with (A Euclidean bump for a compact set inside an open set).
The Axiom of Countable Choice is the only choice principle assumed (The Axiom of Countable Choice ()).
Proof
The function is continuous, hence locally integrable, so [F1] defines the regular distribution . Since the second-order multi-index has , [F2] gives , a finite integral because is bounded with compact support. By [F5] fix with . [F1, F2, F5, given] 1.2 : let be a bounded open interval. If , then is on with classical derivative , so [F7] makes that constant the weak derivative, and both and its derivative lie in , giving . If , [F6] gives directly with bounded weak derivative represented by the sign function. As was arbitrary, . [F6, F7, given] 2.1 On the interval apply [F4] with and : On apply [F4] with : By the choice of in step 1.1 we have and , so both right-hand sides equal , and adding the two half-line integrals gives . Hence by [F3], and since was arbitrary, . [F3, F4, step 1.1, given] 3.1 : suppose otherwise and take . Then , so by [F8] there is representing the second weak derivative: Step 2.1 computes the left side as for every test function on , hence for every test function supported in . Let and . If is a test function supported in , then , so ; as was arbitrary, [F9] applied on the open set gives almost everywhere on . The same computation on gives almost everywhere on , and since is a singleton, hence null, almost everywhere on . By [F10] applied to the compact set inside the open set there is a test function with ; the weak-derivative identity for this gives , while almost everywhere on gives , a contradiction. Hence for this , and therefore . [F8, F9, F10, step 2.1] 4.1 The example is complete: the second distributional derivative of is the point mass , which has no locally integrable representative, while the first weak derivative exists and is bounded. The conclusion uses only Countable Choice [F11], used by the regular-distribution injectivity interfaces [F1] and [F9], the Lebesgue integration-by-parts interface [F4], the first-derivative interfaces [F6] and [F7], and the Sobolev interface [F8]. The bump construction [F10] and distributional differentiation [F2] are choice-free. The endpoint value of the sign representative at is irrelevant, since a point is null.
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.1 and Example 1.10: the absolute value has the sign function as its first weak derivative and the mass as its second distributional derivative; it therefore fails to be twice weakly differentiable.
- John K. Hunter, Notes on Partial Differential Equations, Chapter 3 §3.1: the split integration by parts at the corner, where the jump of the first derivative contributes the boundary term.
A clipped affine function keeps its zero region
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §§1.1–1.2 for the weak derivative and the definition of , and Chapter 2 §2.2, the truncation paragraph and Theorem 2.3 with its proof, printed pp. 29–31, where , and are shown to lie in for by cutting the corner maps at scale and passing to the limit with dominated convergence, including the stated behaviour on the level sets. That proof is a one-dimensional corner approximation and states nothing at ; the argument below does not import it but applies the library's own truncation calculus of this page, which already covers under the Axiom of Choice.
- John K. Hunter, Notes on Partial Differential Equations, Chapter 3 §§3.1–3.2 and §3.5, for the weak-derivative integration-by-parts convention, the examples of corner and step functions, and the and conventions used on this page.
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, Chapter 8 §8.2, Examples (ii) and the sentence following it, printed pp. 202–203, where truncation of a function is stated as an exercise for . Brezis gives no proof, and the calculation below is carried out from the library interfaces cited in the Facts block.
Statement
Assume the Axiom of Choice. Let , let , and let be the open cube of side . Define by Then:
- for every .
- Pointwise, on , on , and on .
- The weak gradient of on is represented by the vector field with for and otherwise: that is, is the class of and for , so the weak gradient is on the middle slab and elsewhere. The interface pieces and are Lebesgue-null, so a representative of the gradient class may be changed on them; the interface values are irrelevant.
The identities of clause 2 are pointwise statements about the displayed function , and the derivative statements of clause 3 are almost-everywhere statements about classes; no pointwise derivative of an arbitrary representative of is claimed.
Facts & Assumptions
Given: The Axiom of Choice; the numbers and ; the open cube ; the function ; and the first coordinate function .
The Axiom of Choice asserts a choice function for every family of nonempty sets (The Axiom of Choice).
In ZF the Axiom of Choice implies Countable Choice and the prescribed-start form of Dependent Choice (AC supplies the countable and dependent choices used in Banach integration).
is the set of classes such that for every first-order multi-index there is an class with a locally integrable representative satisfying the signed test identity for every test function; each such derivative determines one class , and (Integer-order Sobolev spaces and their norms).
Assume Countable Choice. If has real and imaginary parts of class on the open , then for every multi-index with the componentwise classical derivative is locally integrable and is the weak derivative (Classical derivatives agree with weak derivatives).
Assume the Axiom of Choice. For a real class and every , the positive part and the truncation lie in , with and almost everywhere on ; moreover vanishes almost everywhere on and on , so the two indicator conventions for agree (Positive, negative, and truncated Sobolev functions).
For , a function is of class on the open when for every word of coordinate indices with the iterated derivative exists and is continuous on ; the word of length denotes , and the multi-index conventions are those fixed there ( maps and multi-index derivative notation in Euclidean space).
If the line map is defined near , its derivative at is the directional derivative ; for a standard basis vector the number is the th partial derivative, written (Directional derivatives and partial derivatives of a map ).
We use the owning page's coordinate labels : for the canonical function , the notation here means . Likewise here is the canonical standard vector with index , so and for , . Thus in the page notation, including . Partial and weak derivative labels use the same relabeling. Finite sums in the function space are pointwise (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ).
On with the product topology of the copies of is the metric topology of , hence the Euclidean topology, so "open in " has one meaning (For the product topology on copies of the usual topology of is the metric topology of on , and hence also of and , so as a product and as a metric space are one space); and the projections of a product are continuous for the product topology (A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice).
A map of metric spaces is continuous at every point in the - sense if and only if preimages of open sets are open; these conditions are equivalent without choice (Metric continuity characterisations, with countable choice for the sequential converse).
For a metric space and , continuity at is the condition that for every there is with , and this is verbatim the metric notion of continuity (Vector-valued functions , their limits and continuity, with the dictionary to the metric notions).
The limit of a real function means that for every there is with (The - limit of at a limit point of ).
Assume Countable Choice. Let be reals and put . Then is open and every set with is Lebesgue measurable with ; in particular gives measure to such a box whenever for some coordinate (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
If , and , then (Finite-measure includes into for ).
If is measurable with then almost everywhere; and if and almost everywhere then (The essential supremum is attained as the least essential bound).
is the space of essentially bounded measurable real functions, with size measured by the essential supremum (The space of essentially bounded measurable functions).
Assume Countable Choice. Every continuous map is Borel measurable (Continuous functions on Euclidean spaces are Borel measurable), and every Borel subset of is Lebesgue measurable (Assuming countable choice, every Borel subset of is Lebesgue measurable).
Pointwise maxima, minima, absolute values, sums and products of measurable functions are measurable (Arithmetic and lattice operations preserve measurability whenever they are defined), and the composition of a measurable function with a Borel measurable map is measurable (Composition with a Borel measurable outer map preserves measurability).
Assume Countable Choice. Changing locally integrable representatives on a null set preserves the weak-derivative relation, and objects are almost-everywhere classes, so a weak-derivative class is unchanged when its representative is modified on a null set (Weak differentiation ignores null-set changes).
For one has if and only if (Basic properties of the absolute value).
If then is a maximum of when and for every , and a minimum of when and for every ; maxima and minima are unique (Maximum and minimum of a set).
An ordered field has trichotomy and closure of its positive cone, with meaning and meaning or (Ordered field).
The positive part of a function is (The positive and negative parts of a function).
Choice accounting. The declared principle is the Axiom of Choice [F1]. By [F2] it supplies Countable Choice for the classical-derivative lemma [F4], the box-measure theorem [F13], the Borel and Lebesgue measurability of continuous maps [F17] and the representative-independence lemma [F19], and it is the hypothesis of the truncation calculus [F5]. No representative is selected anywhere below: the functions used are displayed explicitly, and the only selections in the proof are finite ones (the choice of test point and direction inside an arbitrary-point argument). No Dependent Choice and no countable selection is used.
Proof
The declared assumption is the Axiom of Choice [F1]; by [F2] Countable Choice holds, so the choice hypotheses of [F4], [F13], [F17] and [F19] are in force, while [F5] is stated under the declared Axiom of Choice itself. Since , the cube is nonempty: , so . No representative is selected in this proof.
Elementary clipping identities. For every real one has for and for by [F21] and [F22]; consequently, for , for , for , and for . Moreover for every : with one has and by [F22], so is the larger of the two arguments [F21]. Hence the truncation of [F5] satisfies for every .
The coordinate function is of class on , with and for . Fix and a coordinate index . For real , [F8] and the pointwise operations give , so the difference quotient of [F7] is for every by [F22]; this is the constant function on . For every the choice gives whenever , so the limit of the difference quotient at is in the sense of [F12], and exists by [F7]; by [F8] this value is for and for . The function is the first coordinate projection, hence continuous on by [F9], which is the - notion by [F10] and [F11]; and each is a constant function on , hence continuous by the - condition of [F11], any serving at every point. Therefore every word of length at most in the sense of [F6] has an existing continuous iterated derivative, that is, .
Bounds and membership of and its first partials. The cube is the box of [F13] with and , so it is open and , and for the inequalities give by [F20]. Hence on , while and on by step 1.3. The functions , and are continuous on by step 1.3, hence Borel measurable and Lebesgue measurable under Countable Choice by [F17]. Therefore and by [F15], so the classes of and of each lie in by [F16], and in for every by [F14] applied to the finite measure ; for the membership is the statement itself.
Region values (clause 2 of the Statement). By step 1.2 applied at , the function vanishes for , equals for , and equals for ; these are pointwise identities on all of .
Classical derivatives are weak derivatives here: by [F4] applied with to the real-valued function of step 1.3, the classical derivatives for are locally integrable and are the weak derivatives ; for this says , and for it says weakly. By step 2.1 the classes and lie in for every , so the definition [F3] gives with and for , the classes of the constant functions and on .
The positive part. Let be the positive part of the real class of step 3.1, as in [F23]; it is represented by the continuous function on . By [F5] applied to one has with almost everywhere on . Substituting the representatives of step 3.1 and the pointwise identity , this says and for almost everywhere on .
The truncation. Apply [F5] again, now to the real class of step 4.1 and the same level : the truncation lies in with almost everywhere on . By step 1.2 the representative of satisfies pointwise on (indeed on ), and is measurable: it is obtained from the measurable function by composition with the continuous, hence Borel, map [F18]. So is a representative of the class , and hence for every . This proves clause 1 of the Statement.
Derivative computation. On the level set of is : since , the inequality holds when because then , and when it reads ; conversely gives . Consequently pointwise on , and multiplying the representatives of step 4.1 gives and pointwise on by [F21], [F22]; the two indicators are measurable because each threshold set is Borel and its indicator is Borel measurable (every inverse image is empty, the whole line, the threshold set, or its complement); composition with the measurable coordinate function and multiplication preserve measurability by [F18], so the displayed functions are legitimate representatives of the corresponding classes. Therefore and for , all equalities almost everywhere on : the weak gradient of is represented by the vector field with on the middle slab and for and for .
Interface irrelevance (clause 3 of the Statement). The pieces and are boxes with a degenerate side: in the terminology of [F13] each is contained in the closed box with the first pair of endpoints both equal to , respectively both equal to , and the other pairs . For either box , and for the corresponding or ; hence [F13] gives measurability and measure zero. By [F19], modifying a locally integrable representative on a null set neither changes the weak-derivative relation nor the class of the derivative. Consequently any function that agrees with off the two interface hyperplanes represents the same class , and any function that agrees with off them represents for : the interface values are irrelevant, and the same conclusion is recorded by the level-set clause of [F5] at .
Degenerate cases and accounting. The one-dimensional case is included: no step uses more than one coordinate direction, and is then the single standard basis vector. The exponent endpoints and are included: steps 2.1 and 3.1 give membership of and its first partials at both endpoints, and [F5] is stated for every . The level is fixed at , so has side and is nonempty by step 1.1; no limiting case or is claimed, and clause 1 concerns the fixed cube . The only choice principle used is the Axiom of Choice, through [F2] for the classical-derivative lemma, the box-measure theorem, Borel-to-Lebesgue measurability and representative independence, and directly as the hypothesis of [F5]; no representative is selected, the argument at a general point selects only finitely many objects, and no Countable Choice beyond [F2] and no Dependent Choice is invoked. ∎
Sources
- Juha Kinnunen, Sobolev Spaces (2026), Chapters 1–2
- John K. Hunter, Notes on Partial Differential Equations (2014), Chapter 3
- Juha Kinnunen, Sobolev Spaces (2026), Chapter 2 §2.6
- John K. Hunter, Notes on Partial Differential Equations, Appendix on one-dimensional weak and distributional derivatives
- John K. Hunter, Notes on Partial Differential Equations (2014), Chapter 3 §3.5
- Juha Kinnunen, Sobolev Spaces (2026), Chapter 1 §1.2
- John K. Hunter, Notes on Partial Differential Equations (2014), Chapter 3 §3.2
- Juha Kinnunen, Sobolev Spaces (Aalto University, 2026)
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations (2011)
- Juha Kinnunen, Sobolev Spaces (Aalto University, 2026), Chapter 1 §1.1
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations (2011), Chapter 8
- Juha Kinnunen, Sobolev Spaces (2026)
- John K. Hunter, Notes on Partial Differential Equations (2014)