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✓ 11 results · all verified · 6 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 5 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Weak Derivatives and Sobolev Spaces — Examples

1 · Prerequisites

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 2δ0, which places it in Wloc1,∞ but not in Wloc2,1. 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 W1,1. Sharp thresholds appear for the radial power ∣x∣−a on B(0,1)⊂Rn with a>0 and finite 1≤p<∞, which is in W1,p(B(0,1)) exactly when p(a+1)<n, and for the failure of the algebra property of W1,p below the continuity threshold. Piecewise C1 functions with matching traces across a flat hypersurface remain W1,p with the expected piecewise gradient, whereas Lp 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 Rn 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

CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

A hypersurface jump is not W1,p

Statement refuted

Assume Countable Choice. Let Q=(−1,1)n with n≥2 and let u=1{xn>0} on Q, so that u(x)=H(xn) with H=1(0,1) on (−1,1). Then u∈Lp(Q) for every 1≤p≤∞, but its distributional normal derivative is surface integration against the coordinate hyperplane {xn=0}, ⟨∂nTu,φ⟩=∫(−1,1)n−1φ(y,0) dy(φ∈Cc∞(Q)). and this distribution has no representative in Lloc1(Q). Consequently u∉W1,p(Q) for every 1≤p≤∞.

Facts & Assumptions

Given: Countable Choice, n≥2, Q=(−1,1)n, Y=(−1,1)n−1, I=(−1,1), and u=1{xn>0} on Q.

[F1]

Countable Choice is the assertion that every sequence of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F2]

For a measurable set A, the indicator 1A is measurable (An indicator function is measurable exactly when its set is measurable).

[F3]

Under Countable Choice every box in Rn is Lebesgue measurable with measure the product of its side lengths, so bounded boxes have finite measure (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included).

[F4]

Under Countable Choice, every compact subset of Rn has finite Lebesgue measure (Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure).

[F5]

Under Countable Choice, Lebesgue measure on Rm+1 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).

[F6]

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).

[F7]

For complex C1 functions on [a,b], Countable Choice gives ∫abu′=u(b)−u(a) (Complex integration by parts on intervals and decaying lines).

[F8]

A weak α-derivative v satisfies ∫Ωu Dαφ=(−1)∣α∣∫Ωvφ for every test φ, and membership in Wk,p requires such an Lp class with a locally integrable representative for every ∣α∣≤k (Weak derivative of a locally integrable function, Integer-order Sobolev spaces and their norms).

[F9]

There is a smooth function ψ:Rn−1→[0,1], equal to 1 on a neighbourhood of the origin and compactly supported in Y; its integral is a positive finite constant (A smooth bump between concentric Euclidean balls).

[F11]

If f∈L1(μ), then for every ε>0 there is δ>0 such that μ(A)<δ implies ∫A∣f∣ dμ<ε (Absolute continuity of the integral).

Counterexample

technique · compute the normal distributional derivative by Fubini and expose the one-dimensional jump obstruction with shrinking slab tests
1.1F1F2F3F4given

The set Q+={xn>0}∩Q=Y×(0,1) is a box, so [F3] makes it measurable with finite measure 2n−1, and [F2] makes u=1Q+ measurable. For finite p, ∫Q∣u∣p=λn(Q+)=2n−1<∞; for p=∞, ∣u∣≤1, so u∈Lp(Q) for every 1≤p≤∞, and in particular u∈Lloc1(Q) by [F4].

1.2F5F6F7given

Let φ∈Cc∞(Q). Since supp⁡φ is compact in Q, [F5] and [F6] apply to the integrable function u ∂nφ and reduce the integral to the iterated integral over Y×I. For fixed y∈Y the function t↦φ(y,t) is C1 on the interval [0,1] and vanishes at t=1, so [F7] gives ∫01∂tφ(y,t) dt=φ(y,1)−φ(y,0)=−φ(y,0). Hence ∫Qu ∂nφ dx=∫Y(∫01∂tφ(y,t) dt)dy=−∫Yφ(y,0) dy, and by the distributional sign convention the normal derivative of Tu is the surface functional ⟨∂nTu,φ⟩=−∫Qu ∂nφ dx=∫Yφ(y,0) dy.

2.1F8step 1.2

Suppose v∈Lloc1(Q) represented that normal derivative, that is ∫Qu ∂nφ dx=−∫Qvφ dx for every test φ by [F8]. Combined with step 1.2 this means ∫Qvφ dx=∫Yφ(y,0) dyfor every φ∈Cc∞(Q).

3.1F3F4F10F11step 2.1choose

Fix ψ as in [F9] and let c=∫Yψ>0. Let η:R→[0,1] be smooth, equal to 1 on [−1/2,1/2] and supported in I; for 0<δ<1/2 put ηδ(t)=η(t/δ) and φδ=ψ⊗ηδ, which is a test by [F10]. Step 2.1 evaluated at φδ gives ∫Qv φδ dx=∫Yψ(y)ηδ(0) dy=c for every δ. On the other hand vψ∈L1(K) for the compact product K=supp⁡ψ×[−1/2,1/2] by [F4], and the supports of the φδ are contained in the slabs Aδ={−δ<t<δ}∩K with λn(Aδ)≤2δ⋅λn−1(supp⁡ψ)→0 by [F3]. Since ∣φδ∣≤1, [F11] applied to vψ on K yields ∣∫Qv φδ dx∣≤∫Aδ∣vψ∣ dx⟶0, contradicting the constant value c>0. Hence no locally integrable v represents ∂nTu.

4.1F1F3F5F6F7F8step 1.1step 3.1

It remains to note the tangential directions. For j<n and any test φ, the same Fubini reduction gives ∫Qu ∂jφ=∫IH(t)(∫Y∂jφ(y,t) dy)dt=0, because [F7] applied along the j-th coordinate of the compactly supported function y↦φ(y,t) 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 u in W1,p(Q) for any 1≤p≤∞ would require an Lp class with a locally integrable representative for the multi-index α=en, which step 3.1 rules out. Therefore u∉W1,p(Q) for every 1≤p≤∞, including both endpoints, although u∈Lp(Q) for every p 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 Lp function whose normal distributional derivative is a surface measure and which therefore lies in no W1,p.
  • John K. Hunter, Notes on Partial Differential Equations, Chapter 3: the one-dimensional step calculation and the surface-functional description of the jump derivative.
CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Cantor function has singular distributional derivative

Statement

Assume the Axiom of Choice. Let C⊆[0,1] be the middle-thirds Cantor set, let c:[0,1]→[0,1] be the Cantor staircase, and let μc be its Cantor measure. Then C is null, and c is constant on the closure of every complementary interval of C, hence absolutely continuous there with classical derivative zero off C. On (0,1) the distributional derivative of c is the restriction of μc, a nonzero singular measure with μc((0,1))=1. In particular,

c∉W1,1((0,1)).

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 C 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 C, its Cantor function c, and the Cantor measure μc.

[F1]

AC implies Countable Choice (The Axiom of Choice, The Axiom of Countable Choice (ACω)): given any sequence (Xn)n∈N of nonempty sets, AC gives a choice function on its range, and composition with n↦Xn gives a selector for the sequence. This discharges the explicit CC assumptions in [F5] (Cantor nullity), [F6] (Cantor measure), [F9] (W1,1 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.

[F3]

The Cantor function is nondecreasing with c(0)=0 and c(1)=1, and it is constant on [a,b] whenever a<b lie in C and (a,b)∩C=∅; every point outside C lies in one such gap (The Cantor function is well defined, satisfies c(x)≤c(y) whenever x≤y, is surjective onto [0,1], and is constant on every interval removed from the Cantor set).

[F23]

The recursion defining Cn starts at C0=[0,1] and satisfies Cn+1=13Cn∪(23+13Cn); induction shows 0,1∈Cn for every n, hence 0,1∈C=⋂nCn (The Cantor middle-thirds set as the intersection of the sets Cn obtained by removing open middle thirds, The principle of mathematical induction).

[F4]

The Cantor function is continuous on [0,1] (The Cantor function is continuous on [0,1]).

[F5]

Assuming Countable Choice, C is Lebesgue measurable with λ(C)=0 (The Cantor set is an uncountable subset of R of Lebesgue measure zero).

[F6]

Under Countable Choice, μc is the Lebesgue–Stieltjes measure of the continuous nondecreasing extension Fc of c to R; it is a probability measure, has no atoms, is concentrated on C, and is singular with respect to Lebesgue measure (The Cantor measure, Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on R, The Cantor measure is a singular atomless probability measure concentrated on the Cantor set).

[F7]

For the Cantor measure, μc((a,b))=Fc(b−)−Fc(a); applying this interval formula at a=0,b=1 and using [F3]–[F4] gives μc((0,1))=1 (Interval formulas and atoms for a Lebesgue-Stieltjes measure).

[F8]

Every open subset of R is the union of an at most countable pairwise disjoint family of open interval components (Every open subset of R is a countable disjoint union of open intervals, namely its order components).

[F9]

Membership in W1,1(0,1) supplies an L1 weak derivative satisfying ∫c φ′=−∫gφ for every test φ∈Cc∞(0,1) (Integer-order Sobolev spaces and their norms, Weak derivative of a locally integrable function).

[F10]

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).

[F11]

The continuous function c is Riemann integrable, and for it as integrand and a C1 integrator φ, ∫01c dφ=∫01c(x)φ′(x) dx (The Cantor function is continuous on [0,1], A continuous function on [a,b] is Riemann integrable, by Heine-Cantor and Riemann's criterion, A continuously differentiable integrator reduces Stieltjes integration to ordinary integration).

[F12]

Since c is nondecreasing, its increments on every partition of [0,1] are nonnegative and their finite telescoping sum is c(1)−c(0)=1; hence c 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 c(x)≤c(y) whenever x≤y, is surjective onto [0,1], 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).

[F13]

For continuous φ and the nondecreasing right-continuous function Fc, ∫01φ dFc=∫(0,1]φ dμc (For a continuous integrand, the Riemann-Stieltjes and Lebesgue-Stieltjes integrals agree).

[F14]

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).

[F15]

Measures are countably subadditive (Finite and countable subadditivity of measures).

[F16]

A compact subset of an open set admits a smooth compactly supported cutoff χ with 0≤χ≤1 and χ=1 near that subset (Test function cutoffs and euclidean localization).

[F17]

A constant function on a compact interval is absolutely continuous by the defining finite-disjoint-interval condition (Absolute continuity on a compact interval).

[F18]

The regular distribution of c∈Lloc1 is Tc(φ)=∫cφ, and its distributional derivative satisfies ⟨∂Tc,φ⟩=−∫cφ′ (Locally integrable functions as regular distributions, Distribution, Distributional derivative).

[F19]

By [F6], the Cantor measure is a finite Borel probability measure. For tests supported in a fixed compact K⊂(0,1), integration against it is complex-linear and obeys ∣∫φ dμc∣≤∫∣φ∣ dμc≤μc(K)∥φ∥∞. 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 L1(μ), 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).

[F20]

For every δ>0, the reciprocal-form Archimedean corollary gives n≥1 with 1/n<δ; its threshold consequence says 1/m≤1/n<δ for each m≥n. Thus some m≥3 also satisfies 1/m<δ, by taking m=max⁡{n,3} (Complete ordered field (least-upper-bound property), For every ε>0 in a complete ordered field there is a natural n≥1 with 1/n<ε, Canonical naturals are positive and strictly increasing, Inverses of positives are positive, and reciprocation reverses order).

[F21]

If ψ is continuously differentiable on a compact interval [a,b], then ∫abψ′=ψ(b)−ψ(a) (The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a)).

Counterexample

technique · direct calculation and contradiction
1.1F1F2F3F4F5F6F10F13

Let (Xn)n∈N be any sequence of nonempty sets. By AC, [F1], the range {Xn:n∈N} has a choice function s; then n↦s(Xn) selects from every Xn, 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 [0,1], with endpoint values 0 and 1, and is constant on every closed gap [a,b] of C 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.

1.2F3F5F8F17F22F23

Put U=(0,1)∖C. It is open because C is closed by [F22] and (0,1) is open, so [F8] writes it as at most countably many disjoint intervals J=(a,b). Every endpoint lies in [0,1]. The endpoints 0 and 1 belong to C by [F23]; if an endpoint in (0,1) were outside C, closedness would put it in the open set U, and a neighborhood would enlarge the component, contradicting maximality. Thus a,b∈C and (a,b)∩C=∅. By [F3], c is constant on [a,b]; by [F17] its restriction is absolutely continuous, and its classical derivative is 0 throughout J. Meanwhile C is null by [F5].

1.3F6F7F11F12F13F18F19

Let φ∈Cc∞(0,1) be real-valued and extend it by zero to [0,1]. Then φ(0)=φ(1)=0. For a partition 0=t0<⋯<tN=1, the telescoping product identity is φ(1)c(1)−φ(0)c(0)=∑i=1Nφ(ti)(c(ti)−c(ti−1))+∑i=1Nc(ti−1)(φ(ti)−φ(ti−1)). The first sum uses right-endpoint tags for ∫01φ dc, which exists by [F12]; the second uses left-endpoint tags for ∫01c dφ, which exists by [F11]. As the mesh tends to zero, each sum converges to its Riemann–Stieltjes integral, so the zero boundary term gives ∫01φ dc=−∫01c dφ. By [F11], the right side is −∫01c(x)φ′(x) dx. The agreement in [F13] identifies the left side with ∫(0,1]φ dμc; since φ is supported inside (0,1), this equals ∫Rφ dμc. Thus ∫Rφ dμc=−∫01c(x)φ′(x) dx=⟨∂Tc,φ⟩. 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 φ↦∫φ dμc a distribution on (0,1). Hence ∂Tc is exactly the distribution induced by μc∣(0,1). Since [F6] makes μc singular and concentrated on the null set C, and [F7] gives μc((0,1))=1, this restricted measure is singular and nonzero.

2.1F5F8F9F10F15F21step 1.2

Suppose c∈W1,1(0,1) and let g∈L1(0,1) be its weak derivative, as supplied by [F9]. For each component interval J of U, the constant function 0 is a weak derivative of c∣J: for every ψ∈Cc∞(J) choose [a,b]⊂J containing its support. By [F21], ∫Jψ′=∫abψ′=ψ(b)−ψ(a)=0, and constancy of c on J gives ∫Jcψ′=0. By [F10], g=0 almost everywhere on each J. The exceptional sets on these countably many intervals have null union by [F15]; [F5] makes the remaining Cantor set null too. Therefore g=0 almost everywhere on (0,1).

3.1F7F9F14F15F16F20step 1.3step 2.1

The compact intervals Km=[1/m,1−1/m], m≥3, cover (0,1): for each x∈(0,1), [F20] gives an m with 1/m<min⁡{x,1−x}. Since μc((0,1))=1 by [F7], [F15] implies μc(Km)>0 for at least one m. Fix one such m. The cutoff fact [F16] gives χ∈Cc∞(0,1) with 0≤χ≤1 and χ=1 on a neighborhood of Km. By [F14], ∫χ dμc≥∫1Km dμc=μc(Km)>0. But the weak-derivative identity and step 2.1 give −∫01cχ′=∫01gχ=0, contradicting step 1.3, which identifies the left side with ∫χ dμc>0. So c∉W1,1(0,1).

4.1step 1.1step 1.2step 1.3step 2.1step 3.1∎

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 L1 weak derivative exists. This is the claimed counterexample.

CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Lp and Sobolev classes do not determine point values

Statement

Assume Countable Choice. Let n≥1, let Ω⊆Rn be a nonempty open set, and fix x0∈Ω. For every k∈N0, 1≤p≤∞, and K∈{R,C}, the zero function and the point spike u0(x)=0,u1(x)=1{x0}(x) represent the same element of Lp(Ω;K) and Wk,p(Ω;K), although u0(x0)=0 and u1(x0)=1. Consequently evaluation at x0 is not a well-defined operation on either equivalence class.

Facts & Assumptions

Given: Countable Choice, a nonempty open Ω⊆Rn, n≥1, x0∈Ω, k∈N0, 1≤p≤∞, and K∈{R,C}.

[F1]

Every at most countable subset of Rn is Lebesgue measurable and null under Countable Choice. In particular, {x0} is measurable and null. (Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0)

[F2]

An indicator of a measurable set is measurable. (An indicator function is measurable exactly when its set is measurable)

[F3]

An Lp element is an almost-everywhere equivalence class of measurable representatives. (The space Lp(μ) as the quotient by null functions)

[F4]

A Wk,p class has an Lp representative whose weak derivatives Dαu lie in Lp for every ∣α∣≤k; representatives and weak derivative classes are well-defined under Countable Choice. (Integer-order Sobolev spaces and their norms)

[F7]

The zero multi-index derivative is the function class itself: D0u=u. (Integer-order Sobolev spaces and their norms)

[F5]

Weak differentiation is unchanged when both the input and derivative representatives are changed on null sets, for all 1≤p≤∞ under Countable Choice. (Weak differentiation ignores null-set changes)

[F6]

A nonnegative measurable function has integral zero over a measurable null set. (A nonnegative integral over a null set vanishes)

[F8]

Countable Choice, or ACω, says that every sequence of nonempty sets has a choice function selecting one element from each set. (The Axiom of Countable Choice (ACω))

Counterexample

technique · direct
1.1F1F2F3F6given

Put E={x0}. By [F1], E is measurable and ∣E∣=0, so [F2] makes u1=1E measurable. Both functions are locally integrable; for every compact K⊆Ω, ∫K∣u1∣ dx=∫K∩E1 dx=0 by [F6]. They agree at every x≠x0, hence almost everywhere. For 1≤p<∞, ∫Ω∣u1∣p dx=∫E1 dx=0 again by [F6]; for p=∞, every positive superlevel set {∣u1∣>ε} is empty or E, so its measure is zero and ∥u1∥L∞=0. Thus [u0]=[u1] in every Lp by [F3], including both endpoints.

2.1F4F5F7step 1.1given

For every multi-index α, zero has weak derivative zero because both sides of its test identity vanish. The functions u0,u1,0,0 are locally integrable and u0=u1 almost everywhere, so [F5] transfers the identity to u1: zero is a weak derivative of both representatives at every order. At α=0 the derivative class is their common zero Lp class by [F7]; for ∣α∣>0 it is the zero Lp class. By [F4], both belong to Wk,p with identical derivative classes through order k, so every term in the Sobolev norm is zero. This includes k=0, p=1, and p=∞.

3.1F3F4F8step 1.1step 2.1given∎

The representatives have different point values, u0(x0)=0 and u1(x0)=1, although [F3] and [F4] identify them as the same Lp and Wk,p elements. A value at x0 therefore cannot be assigned from either class alone. After fixing x0, the construction makes no choices; the stated Countable Choice hypothesis is exactly ACω by [F8] and is carried only through the null-set, representative-independence, and Sobolev-class interfaces. No full Axiom of Choice is used.

CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

A step has no locally integrable weak derivative

Statement

Assume Countable Choice. Let I=(−1,1), let K∈{R,C}, and define H:I→K by H=1(0,1). Then H∈Lp(I;K) for every 1≤p≤∞. Its regular distribution satisfies ∂TH=δ0in D′(I), but no v∈Lloc1(I;K) represents this derivative. Consequently H∉W1,p(I;K) for every 1≤p≤∞.

Facts & Assumptions

Given: Countable Choice, I=(−1,1), E=(0,1), the indicator H=1E, and K∈{R,C}.

[F1]

Countable Choice, or ACω, says that every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω))

[F2]

The indicator of a measurable set is measurable. (An indicator function is measurable exactly when its set is measurable)

[F3]

Under Countable Choice, intervals in R are measurable with their length as measure, including open and closed endpoint conventions; degenerate intervals have measure zero. (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included)

[F4]

Under Countable Choice, every compact subset of R is measurable and has finite Lebesgue measure. (Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure)

[F5]

The complex Lp conventions use ∫∣f∣p for finite p and the essential bound for p=∞. (Complex Lp classes and Euclidean test-function conventions)

[F6]

The simple integral of 1E is λ(E), 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)

[F7]

If f≤g are nonnegative measurable functions, then ∫f≤∫g. (Monotonicity and nonnegative homogeneity of the nonnegative integral)

[F8]

For a measurable set A, the integral over A is the integral of the integrand multiplied by 1A. (Integral over a measurable subset)

[F9]

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)

[F10]

A test function in D(I)=Cc∞(I;C) is smooth and has compact support in I; its zero extension is smooth on R. (Test function space d of an open set)

[F11]

The regular distribution of a locally integrable function u is Tu(φ)=∫Iuφ. (Locally integrable functions as regular distributions)

[F12]

The distributional derivative obeys ⟨∂T,φ⟩=−⟨T,φ′⟩. (Distributional derivative)

[F13]

The Dirac distribution is δ0(φ)=φ(0). (Dirac delta and its derivatives)

[F14]

A locally integrable weak derivative v satisfies ∫IHφ′=−∫Ivφ for every φ∈Cc∞(I). (Weak derivative of a locally integrable function)

[F15]

Membership in W1,p requires an Lp class with a locally integrable representative satisfying the first-order weak test identity. (Integer-order Sobolev spaces and their norms)

[F16]

If f∈L1(μ), then for every ε>0 there is δ>0 such that μ(A)<δ implies ∫A∣f∣ dμ<ε. (Absolute continuity of the integral)

[F17]

There is a smooth η:R→[0,1] equal to 1 on [−1/2,1/2] with support contained in (−1,1). (A smooth bump between concentric Euclidean balls)

[F19]

For complex C1 functions on [a,b], Countable Choice gives the Lebesgue fundamental theorem ∫abu′=u(b)−u(a). (Complex integration by parts on intervals and decaying lines)

[F20]

For an integrable complex function f, ∣∫f∣≤∫∣f∣. (The modulus of an integral is bounded by the integral of the modulus)

[F21]

A nonnegative integral over a measurable null set is zero. (A nonnegative integral over a null set vanishes)

[F22]

Local integrability means finite integral of ∣f∣ on each compact set. (Complex Lp classes and Euclidean test-function conventions)

Counterexample

technique · direct
1.1F2F3F4F5F6F7F8F11F22

By [F3], λ(E)=1, λ(I)=2, and each compact K⊂I has finite measure; hence [F2] makes H measurable. For finite p, ∣H∣p=1E, so [F6] gives ∫I∣H∣p dx=λ(E)=1; for p=∞, ∣H∣≤1 gives a finite essential bound by [F5]. Also ∫K∣H∣ dx≤∫K1 dx=λ(K)<∞ by [F4, F7, F8], so H∈Lloc1(I) by [F22] and its regular distribution is defined by [F11].

2.1F3F8F9F10F11F12F13F19F20F21step 1.1

For φ∈D(I), [F8, F9, F10, F11, F12] and step 1.1 give ⟨∂TH,φ⟩=−∫IHφ′ dx=−∫I1(0,1)φ′ dx. The indicator convention [F8] applies to nonnegative integrands; for signed or complex φ′, apply it to the positive and negative parts of each real component and subtract, using the componentwise integral in [F9]. The endpoints {0,1} are measurable and null by [F3]; [F21] gives zero integral of ∣φ′∣ on them, so the difference between the 1(0,1)φ′ and 1[0,1]φ′ integrals is zero by [F20]. Let φ~ be the smooth zero extension from [F10]; the interval FTC [F19] gives −∫[0,1]φ~′ dx=−(φ~(1)−φ~(0))=φ(0)=δ0(φ) by [F13]. Thus ∂TH=δ0 in D′(I).

3.1F3F7F8F10F14F16F17F18F20F22step 2.1choose

Suppose v∈Lloc1(I;K) were a weak derivative. Then [F14] and step 2.1 give ∫Ivφ dx=φ(0) for every test φ. Choose one η as in [F17]. For 0<ϵ<1/2, set φϵ(x)=η(x/ϵ); [F18] makes it smooth and its support is compactly contained in (−ϵ,ϵ)⊂I, so it is a test by [F10], with φϵ(0)=1 and ∣φϵ∣≤1. For K=[−1/2,1/2], [F22] gives ∫K∣v∣<∞. The measurable sets Aϵ=[−ϵ,ϵ]⊂K have λ(Aϵ)=2ϵ→0 by [F3]; [F16] on the restricted measure space K gives ∫Aϵ∣v∣ dx→0. But [F20], [F7], and the support and bound of φϵ give 1=∣∫Ivφϵ dx∣≤∫I∣vφϵ∣ dx≤∫Aϵ∣v∣ dx→0, a contradiction. Hence no locally integrable function represents ∂TH.

4.1F1F3F4F15F19step 1.1step 2.1step 3.1∎

By [F15], membership of H in any W1,p(I;K) would require a locally integrable representative of its weak first derivative, which step 3.1 rules out for every 1≤p≤∞, including both endpoints. The assumption is exactly Countable Choice ACω 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.

CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-30Open item page →

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 W1,p functions for 1≤p<n; Example 1.12 gives an unbounded W1,n function for n≥2. 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 n≥2, let Ω⊆Rn be open with 0∈Ω, let K∈{R,C}, and let 1≤p≤n. There is a sequence of real-valued (hence K-valued) functions um∈Cc∞(Ω;K) such that sup⁡m∥um∥W1,p(Ω;K)<∞,∣um(0)∣⟶∞. Thus evaluation at 0 is unbounded on smooth compactly supported functions in the W1,p norm. No bounded linear functional on W1,p(Ω;K) can agree with ordinary point evaluation at 0 on every member of Cc∞(Ω;K).

Facts & Assumptions

Given: Countable Choice, n≥2, an open set Ω⊆Rn containing 0, a scalar field K∈{R,C}, and 1≤p≤n.

[F1]

Countable Choice, written ACω, says that every sequence of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F2]

For finite p, ∥u∥W1,pp=∥u∥Lpp+∑j=1n∥Dju∥Lpp for u∈W1,p (Integer-order Sobolev spaces and their norms).

[F3]

Under Countable Choice, a smooth function's classical first partial derivatives are its weak derivatives (Classical derivatives agree with weak derivatives).

[F4]

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).

[F5]

There is a smooth ϕ:Rn→[0,1] equal to 1 on B‾1/2(0) and with support contained in B3/4(0) (A smooth bump between concentric Euclidean balls).

[F6]

The Euclidean metric is d2(x,y)=∑j=1n(xj−yj)2; hence if Q(x)=∑j=1nxj2, then Q(x)=∣x∣2=d2(x,0)2, and ∣xj∣≤∣x∣ (Rn as the set of functions n→R, and d1, d2, d∞ are metrics on it).

[F9]

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).

[F10]

Under Countable Choice, a box with side lengths bi−ai is measurable with measure ∏i(bi−ai); Lebesgue measure is monotone under inclusion (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included, Measures are monotone).

[F11]

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).

[F12]

Continuous Euclidean functions are Borel measurable under Countable Choice, Borel sets (including open and closed sets) are Lebesgue measurable under Countable Choice, and the Lp norm for finite p is defined using the integral of ∣u∣p (Continuous functions on Euclidean spaces are Borel measurable, Assuming countable choice, every Borel subset of Rn is Lebesgue measurable, Complex Lp classes and Euclidean test-function conventions).

[F13]

The library standard smooth step is denoted by σ; write θ:=σ 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 [0,1] from the positive formula on (0,1) 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 exp⁡(−x)=1/exp⁡(x)).

[F14]

The same step is 0 for t≤0 and 1 for t≥1 (The standard smooth step function).

[F15]

Coordinate chain, sum, and product rules hold; smoothness means all iterated coordinate derivatives exist and are continuous. For x>0, log⁡′(x)=1/x, and integer negative powers have their usual derivatives. Consequently Q is smooth, and the compositions with log⁡Q used below are smooth on Q>0: repeated differentiation uses the chain and product rules and derivatives of Q−j (Ck maps and multi-index derivative notation in Euclidean space, The chain rule, in one line from Carathéodory: if g is differentiable at c and f is differentiable at g(c), then f∘g is differentiable at c with (f∘g)′(c)=f′(g(c)) g′(c), Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, Integer powers am, For a natural n≥1 the function x↦xn is differentiable everywhere with derivative ι(n) x n−1; for n=0 it is the constant 1, with derivative 0; for a natural n≥1 the function x↦x−n is differentiable at every x≠0 with derivative −ι(n) x−n−1; consequently every polynomial function is differentiable at every real, with the derivative computed term by term).

[F18]

The natural numbers are unbounded in R, so any fixed real threshold is exceeded by an integer (Every complete ordered field is Archimedean).

[F19]

Under Countable Choice, polar coordinates integrate nonnegative Borel functions using rn−1dr dσ, where the sphere measure is finite (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F20]

Under Countable Choice, bounded Riemann integrable functions on compact intervals have equal Riemann and Lebesgue integrals. A monotone C1 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 G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a)).

[F21]

For each natural N and t>0, the defining exponential series has nonnegative terms and includes its N-th term, so exp⁡(t)≥tN/N!. This follows from the series definition and the fact that its sum bounds every partial sum (The real exponential function and the number e by a power series, The factorial n! and the falling factorial nk‾, defined by recursion in N, 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 tn≤n!exp⁡(t) for t≥0

[F22]

For each natural degree n and real a>0, xn/exp⁡(ax)→0 as x→+∞ (The exponential dominates every fixed nonnegative integer power at +∞).

[F23]

A bounded linear operator T between normed spaces has a constant C≥0 with ∥Tx∥≤C∥x∥ for every x (A bounded linear operator between normed spaces).

Choice use. The exact assumption is ACω. 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

technique · direct
1.1

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.

1.2

Openness supplies a positive closed ball, and the common cutoff bound is finite. [F5, F7, F9, construct] Choose R>0 so that B‾R(0)⊆Ω, after taking an open ball about 0 and reducing its radius. Take ϕ from [F5] and let M=1+sup⁡B‾1(0)∣ϕ∣+max⁡1≤j≤nsup⁡B‾1(0)∣∂jϕ∣+sup⁡0≤t≤1∣θ′(t)∣. This is finite by [F9]. Also ϕ(0)=1 and supp⁡ϕ⊂B3/4(0).

2.1

For 1≤p<n, 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 q≥1 with q(n−p)>p, then choose an integer k0>max⁡(1,R−1). For each m≥1, put k=m+k0 and um(x)=kϕ(kqx). Since k≥k0>1 and q≥1, k−q≤k−1<R. The support of um, and of each of its first derivatives, lies in Bk−q(0)⊂BR(0); thus [F4] gives um∈Cc∞(Ω;R)⊂Cc∞(Ω;K). The chain rule gives ∂jum(x)=kq+1(∂jϕ)(kqx),um(0)=k⟶∞. The derivative support assertion follows because a smooth function is zero with all derivatives on the open complement of its support.

2.2

If p=n, 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], hnexp⁡(−nh2)→0 as integers h→∞: apply its limit assertion with x=h2, polynomial degree n, and a=n, and use hn≤h2n for h≥1 and [F16]. Choose an integer h0≥1 so that hnexp⁡(−nh2)≤1 for h≥h0. For each m≥1, set h=m+h0, L=h2, and rh=Rexp⁡(−L). Since L>0, [F16] gives 0<exp⁡(−L)<exp⁡(0)=1, so 0<rh<R. With Q(x)=∑j=1nxj2=∣x∣2 by [F6], define wh(x)={1,Q(x)≤rh2,θ ⁣(log⁡(R2/Q(x))2L),rh2<Q(x)<R2,0,Q(x)≥R2,um(x)=hwh(x). For rh<∣x∣<R, the scalar argument equals t=log⁡(R/∣x∣)/L∈(0,1), by [F16]. The polynomial Q and the composition with log⁡Q are smooth where Q>0, by [F15]; wh is constant near 0. Since θ is smooth and constant on both half-lines beyond [0,1], the pieces join smoothly at both radii. Its support lies in B‾R(0)⊆Ω, so [F4] gives um∈Cc∞(Ω;R), and um(0)=h→∞. On the annulus, differentiation gives ∣∂jum(x)∣=h∣θ′(t)∣∣xj∣L∣x∣2≤MhL∣x∣. Outside the annulus the derivatives vanish, including at the joining radii because the step is smooth and constant on the adjacent half-lines.

3.1

The subcritical construction has a uniform W1,p bound. [F2, F3, F5, F10, F11, F12, F17, step 1.2, step 2.1] The ball Bk−q(0) lies in a cube of measure (2k−q)n, by [F10]. The pointwise bounds from [F5] and step 1.2, measurability from [F12], and integral monotonicity and homogeneity [F11] give ∫Ω∣um∣p dx≤2nkp−qn,∫Ω∣∂jum∣p dx≤2nMpkp(q+1)−qn=2nMpkp−q(n−p). Both exponents are negative: p−q(n−p)<0 by the choice of q, and p−qn<0 follows since qn>q(n−p)>p. Thus [F17] makes both quantities uniformly bounded for k≥1. Since the classical derivatives are weak derivatives by [F3], [F2] now gives sup⁡m∥um∥W1,p<∞.

3.2

Polar integration gives a uniform Ln bound for each critical gradient term. [F16, F19, F20, step 2.2] For each j, ∫Ω∣∂jum∣n dx≤σ(Sn−1)(MhL)n∫rhRdrr. Since log⁡(R/rh)=L, [F16] and the fundamental theorem in [F20] give ∫rhRdr/r=L. Therefore ∫Ω∣∂jum∣n dx≤Mnσ(Sn−1)hnLn−1=Mnσ(Sn−1)h2−n, which is uniformly bounded because n≥2 and h≥1.

3.3

The core and annulus estimates give a uniform critical Ln bound for the function term. [F10, F11, F13, F14, F16, F17, F19, F20, F21, step 1.2, step 2.2] On the core B‾rh(0), [F10] bounds the measure by (2rh)n; hence ∫B‾rh∣um∣n dx≤(2R)nhnexp⁡(−nh2)≤(2R)n by the choice of h0. For the annulus, the mean value theorem and the derivative bound in step 1.2 imply 0≤θ(t)≤Mt for 0≤t≤1. The substitution r=Rexp⁡(−s) is decreasing: its oriented endpoints are L and 0, and reversing them gives the positive integral on [0,L] with Jacobian Rexp⁡(−s). Thus [F20] gives ∫rhR∣θ ⁣(log⁡(R/r)L)∣nrn−1 dr≤MnRnLn∫0Lsnexp⁡(−ns) ds≤MnRnn!Ln∫0Lexp⁡(−s) ds≤MnRnn!Ln. Here [F21] gives sn≤n!exp⁡(s); since n≥2, monotonicity of the exponential in [F16] gives exp⁡(−(n−1)s)≤exp⁡(−s), and [F20] evaluates ∫0Lexp⁡(−s)ds=1−exp⁡(−L)≤1. Applying [F19] to this radial annulus integral and multiplying by hn yields ∫BR∖B‾rh∣um∣n dx≤σ(Sn−1)MnRnn!hnLn=σ(Sn−1)MnRnn!h−n, also uniformly bounded.

4.1

These estimates bound the critical W1,n 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 n first derivative terms in [F2] uniformly in Ln. By [F3], the classical derivatives are the weak derivatives, so sup⁡m∥um∥W1,n<∞, while um(0)=h→∞.

5.1

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 T:W1,p(Ω;K)→K agreed with ordinary point evaluation on all test functions. Boundedness would give a constant C such that, for the corresponding sequence, ∣um(0)∣=∣T([um])∣≤C∥um∥W1,p. 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. ∎

ExampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

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 W1,p functions when 1≤p<∞ 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 ∣x∣ example on (−1,1) for all 1≤p≤∞ 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 p=∞.

Statement

Assume the Axiom of Countable Choice. Let I⊂R be a bounded open interval with 0∈I, and set u(x)=∣x∣. Then u∈W1,p(I;R) for every 1≤p≤∞. Its weak derivative class has the representative vc(x)={−1,x<0,c,x=0,+1,x>0, for any finite real c.

Facts & Assumptions

Given: Countable Choice, a bounded open interval I with 0∈I, and u(x)=∣x∣.

[F1]

The exact assumption is Countable Choice, denoted ACω (The Axiom of Countable Choice (ACω)).

[F2]

The test space is Cc∞(I;C) and its members are actual smooth functions with compact support (Test function space d of an open set).

[F3]

A locally integrable v is the weak first derivative of u exactly when ∫Iuφ′=−∫Ivφ for every test (Weak derivative of a locally integrable function).

[F4]

Membership in W1,p(I;R) requires an Lp class for u and an Lp class for its weak derivative, with the zero-order derivative equal to u (Integer-order Sobolev spaces and their norms).

[F5]

Changing locally integrable representatives on a null set preserves the weak-derivative identity; Lp objects are almost-everywhere classes (Weak differentiation ignores null-set changes).

[F6]

Write I=(a,b). Boundedness and openness give finite endpoints a<b; 0∈I gives a<0<b (Intervals of R: the nine order-convex forms, nondegeneracy, and length).

[F7]

Under Countable Choice, [a,b] is measurable with measure b−a, and every singleton is a zero-length box of measure zero (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included).

[F8]

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 Rn is Lebesgue measurable). The piecewise-constant function v0 below is Borel because its level sets are intervals and a singleton.

[F10]

For finite p, membership in Lp means measurability and finiteness of ∫I∣f∣p (Complex Lp classes and Euclidean test-function conventions).

[F11]

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).

[F12]

A nonnegative measurable function has integral zero over a measurable null set (A nonnegative integral over a null set vanishes).

[F14]

Every bounded function on a closed interval that is continuous except at finitely many points is Riemann integrable (A bounded function on [a,b] that is continuous except at finitely many points is Riemann integrable).

[F15]

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).

[F17]

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).

[F18]

The defining requirement for an Lp class uses the measurable function and integral conventions in [F10]; for a bounded measurable f on I, the majorant Cp1I is simple, has integral Cp(b−a), and bounds ∫I∣f∣p whenever ∣f∣≤C (derived from [F7], [F9], [F10], [F11]).

[F19]

Complex test pairings are bilinear and use no conjugation (Test function space d of an open set).

[F20]

Complex integrals are defined componentwise (Complex Lp classes and Euclidean test-function conventions).

[F21]

For p=∞, a finite almost-everywhere bound is sufficient for L∞ membership (Complex Lp classes and Euclidean test-function conventions).

[F22]

Nonnegative powers of nonnegative measurable functions are measurable (Complex Lp classes and Euclidean test-function conventions).

[F23]

Boundedness gives a finite M>0 with ∣x∣≤M on I (Lower bound, bounded below, bounded set, Basic properties of the absolute value).

Choice use. The declared principle is exactly ACω. 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

technique · direct
1.1F1F4F5F7F8F17given

The declared assumption is exactly ACω; the proof uses it only through the interfaces listed in the Choice use note.

1.2F6F7F8F9F10F11F18F21F22F23

Let I=(a,b). Define v0(x)=−1 for x<0, v0(0)=0, and v0(x)=1 for x>0. By [F8], both u and v0 are measurable: extend u continuously to R, and note that the level sets of v0 are Borel intervals and the singleton {0}. Choose M>0 as in [F23]. For each finite p≥1, ∣u∣p is measurable by [F22] and bounded by Mp by [F9]; also ∣v0∣p is the indicator of I∖{0} and is bounded by 1. Thus [F11] and [F18] give ∫I∣u∣p dx≤Mp(b−a),∫I∣v0∣p dx≤b−a. For p=∞, ∣u∣≤M and ∣v0∣≤1. Hence [F21] gives membership in L∞(I); the p=1 estimates also give local integrability.

1.3F2F6F13F14

Fix a real-valued test φ∈Cc∞(I). Its zero extension to [a,b] is smooth by [F2] and vanishes near both endpoints. Set G(x)=∣x∣φ(x),g(x)=v0(x)φ(x)+∣x∣φ′(x)(a≤x≤b). Then G is continuous on [a,b], g is bounded and continuous except possibly at 0, and [F14] makes g Riemann integrable. By [F13], for every x∈(a,b)∖{0}, G′(x)=g(x). Also G(a)=G(b)=0.

2.1F15step 1.3

Apply [F15] with exceptional set {0} to the data in step 1.3. It gives ∫abg(x) dx=G(b)−G(a)=0.

3.1F14F16step 1.3step 2.1

The two summands of g are Riemann integrable: v0φ is bounded and has at most one discontinuity, while ∣x∣φ′ is continuous. By [F14] and [F16], step 2.1 yields ∫ab∣x∣φ′(x) dx=−∫abv0(x)φ(x) dx.

4.1F2F7F12F17F19F20step 3.1

Each integrand in step 3.1 is bounded and Riemann integrable, so [F17] converts the identity to Lebesgue integrals on [a,b]. The endpoints are null by [F7], and [F12] shows that removing them does not change either integral. Thus ∫Iuφ′ dx=−∫Iv0φ dx. For a complex-valued test, apply the real identity to its real and imaginary parts and add the identities with coefficient i; the bilinear convention in [F19] and componentwise integration in [F20] give the same formula.

5.1

By [F3], step 4.1 proves that v0 is the weak derivative of u. For any finite c∈R, the representative vc differs from v0 only on the null singleton {0} by [F7]; [F5] therefore preserves the weak-derivative identity and its Lp class, including the essential class when p=∞. Since both u and v0 belong to every Lp(I) by step 1.2, [F4] gives u∈W1,p(I) for every 1≤p≤∞, with derivative represented by every vc. The cases p=1 and p=∞ are included in the bounds of step 1.2. ∎

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Matching C1 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 ∣x∣ lies in W1,p for every 1≤p≤∞ and that a continuous piecewise-C1 function on a closed interval lies in W1,p for all such p. 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 n≥2, let Q=(−1,1)n, and put K+=[−1,1]n−1×[0,1],K−=[−1,1]n−1×[−1,0]. For K∈{R,C}, let f±:K±→K be C1 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 f+(y,0)=f−(y,0)(y∈(−1,1)n−1). Define f~ on [−1,1]n by f~(x)=f+(x) when xn≥0 and f~(x)=f−(x) when xn<0, and let f=f~∣Q; matching traces give continuity across the interface inside Q. For j=1,…,n, define gj(x)={∂jf+(x),xn>0,∂jf−(x),xn<0,0,xn=0. using the continuous boundary extensions in the first two cases. Then for every 1≤p≤∞, f∈W1,p(Q;K),Djf=[gj](1≤j≤n). 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, n≥2, the two closed half-boxes, the functions f± and their matching traces, and a test function φ∈Cc∞(Q;C).

[F1]

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 (ACω)).

[F2]

The weak derivative identity for a first coordinate derivative is ∫Qu ∂jφ dx=−∫Qv φ dx 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 Q and extend by zero to smooth compactly supported functions on Rn; their boundary values on ∂Q vanish. The pairing is complex bilinear, without conjugation (Test function space d of an open set).

[F3]

Membership in W1,p requires an Lp 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, Ck 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).

[F5]

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 Rn are Lebesgue measurable under Countable Choice (Borel measurable and Lebesgue measurable functions on Rn, Assuming countable choice, every Borel subset of Rn 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).

[F6]

Under Countable Choice, Q has measure 2n and every box with a degenerate side, including the interface inside a bounded box, is null (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), 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 Rn has finite outer measure).

[F8]

If a measurable function is bounded by C1Q and λn(Q)<∞, then its modulus and each finite positive power have finite integral: the majorant is a simple function with integral Cλn(Q), 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).

[F9]

On a closed interval, if a continuous function G is differentiable except at finitely many interior points and an integrable extension h agrees with G′ elsewhere, then ∫abh=G(b)−G(a) (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 [a,b] 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: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0).

[F10]

The Euclidean Lebesgue measure on Rn−1×R 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).

Proof

technique · direct coordinate slices
1.1F1F4F5given

The two half-boxes are compact, so [F4] gives a finite pointwise bound B for f± and every continuous extension of ∂jf±. Extend f and the gj by zero outside Q. 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 gj=0), and the complement of Q therefore make these extensions Borel. The test functions and their first derivatives are Borel by [F5]. Hence f, gj, and the integrands formed from them and the tests are Lebesgue measurable under the exact assumption [F1].

2.1F1F4F6F7F8step 1.1

For each test φ, set Hj=f ∂jφ+gjφon Q, and extend Hj by zero off Q. The bounds from [F4] and compact support of the test give a finite constant Cj with ∣Hj∣≤Cj1Q, so Hj∈L1(Rn) by [F6, F8]. Put C:=1+B; each representative satisfies ∣f∣,∣gj∣≤C1Q. For finite p, [F7] gives ∣f∣p,∣gj∣p≤Cp1Q, so [F6, F8] proves their Lp membership; for p=∞ the pointwise bound proves essential boundedness. The p=1 case also gives local integrability. The interface is null by [F6], so the chosen values gj=0 there do not change the a.e. classes. All measure claims here use [F1].

3.1F1F2F9F11givenstep 2.1

Fix j=n and y∈(−1,1)n−1, and put Gy(t)=f~(y,t)φ(y,t) on [−1,1]. It is continuous at t=0 because the two traces agree; on each side the product rule [F9] gives Gy′(t)=Hn(y,t). The section Hn(y,⋅) is bounded and continuous away from at most 0, so it is Riemann integrable by [F9]. Apply finite-exception Newton-Leibniz [F9] with exceptional set {0}. Compact support makes Gy(−1)=Gy(1)=0, so the Riemann integral of the section is zero; under Countable Choice its Lebesgue integral is the same by [F9] and [F1]. Whenever Gy,Hn(y,⋅) are complex-valued, split both into real and imaginary parts; componentwise integration in [F11] preserves zero.

4.1F1F6F9F11givenstep 2.1step 3.1

Fix j<n and reorder only the first n−1 coordinates so xj is first and xn remains last. This orthogonal coordinate permutation preserves the integral of Hj by [F11]. For fixed other coordinates z with zn≠0, Gz(t)=f~(x1,…,xj−1,t,xj+1,…,xn)φ(x1,…,t,…,xn) is continuously differentiable on [−1,1] and has derivative Hj 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 zn=0 is a degenerate box in Rn−1 and is null by [F6] under [F1], so the section integral is zero for almost every z; for complex-valued products split into real and imaginary parts as in step 3.1.

5.1F1F2F3F6F10F11step 2.1step 3.1step 4.1∎

Under [F1], [F10] applies Fubini to Hn in Rn−1×R and to each tangential Hj after the permutation in step 4.1 in R×Rn−1. Steps 3.1 and 4.1 give zero section integrals almost everywhere, so ∫Qf ∂jφ dx+∫Qgjφ dx=∫RnHj dx=0(j=1,…,n). For α=0 the weak identity is the identity itself; for α=ej it is exactly the weak-derivative test identity [F2], with gj locally integrable by step 2.1. Uniqueness [F3] identifies this value class as Djf, and the Lp bounds of step 2.1 with the Sobolev definition [F3] give f∈W1,p(Q;K) for every 1≤p≤∞.

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Sharp Sobolev threshold for a radial power

Sources

  • Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.2, Example 1.10, printed pp. 6–7. For n≥2 and a>0, the example differentiates ∣x∣−a off the origin, integrates by parts on the punctured ball, and bounds the inner boundary term by a constant times εn−1−a; it then computes the Lp and W1,p thresholds for 1≤p<n. The source's weak-derivative argument requires a<n−1, which is implied by its Sobolev range. It does not cover n=1, the Lp threshold for p≥n, or the p=∞ statement. Those cases and the cutoff proof below are supplied here.

Statement

Assume the Axiom of Countable Choice. Let n≥1, a>0, and B=B(0,1)⊆Rn. For an arbitrary finite c∈R, define u:B→R by u(0)=c and u(x)=∣x∣−a for x≠0. For every finite 1≤p<∞, u∈Lp(B)⟺ap<n, and u∈W1,p(B;R)⟺p(a+1)<n. Whenever p(a+1)<n, the weak derivative Diu is the almost-everywhere class represented off the origin by vi(x)=−axi∣x∣−a−2; one may set vi(0)=0. In all dimensions u∉L∞(B), and therefore u∉W1,∞(B;R).

Facts & Assumptions

Given: The Axiom of Countable Choice, n≥1, a>0, the unit ball B, c∈R, and a test function φ∈Cc∞(B;C).

[F1]

The only choice principle assumed is the Axiom of Countable Choice, written ACω: every countable family of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F2]

For W1,p, the function class and each first weak-derivative class must be in Lp; the zero multi-index is the function itself (Integer-order Sobolev spaces and their norms). Real Lp classes are equivalence classes of measurable representatives with finite p-integral, and L∞ means essentially bounded (The space Lp(μ) as the quotient by null functions, The function space Lp(μ) for 0<p<∞, The space L∞(μ) of essentially bounded measurable functions). The weak first-derivative identity is ∫Bf ∂iφ=−∫Bgφ 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, Ck maps and multi-index derivative notation in Euclidean space).

[F3]

Under ACω, polar integration for nonnegative Borel functions uses the finite Borel sphere measure σ and density rn−1dr; by definition σ(E)=nλn({rω:ω∈E, 0<r≤1}) (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 σ(Sn−1) is positive once the unit ball has positive measure.

[F4]

For real q and 0<R≤1, dyadic annuli give ∫0Rrq dr<∞ exactly when q>−1; in that case the integral is bounded by CqRq+1 for a finite Cq. Indeed, on Ak=(R2−k−1,R2−k], monotonicity of real powers bounds the integral by a constant times Rq+1(2−(q+1))k when q>−1, and bounds it below by such terms when q≤−1. Monotone convergence passes from finite unions of annuli to (0,R], and the geometric series converges exactly for a ratio in (0,1) (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 g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a), 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 exp⁡(−x)=1/exp⁡(x), For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 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 Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), 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).

[F7]

A C1 function on an open Euclidean set has its classical first partials as weak derivatives under ACω (Classical derivatives agree with weak derivatives). Weak differentiation restricts to open subsets, and weak derivatives are unique almost everywhere under ACω (Linearity, locality, and commutation of weak derivatives, Uniqueness of a weak derivative as an almost-everywhere class).

[F8]

Complex test pairings are bilinear, with no conjugation, and the complex Lebesgue integral is taken componentwise and is linear on L1 (Complex Lp classes and Euclidean test-function conventions, The Lebesgue integral is linear on L1(μ)).

Proof

technique · polar integrals and a shrinking smooth cutoff
1.1F1F4F5given

For x≠0, coordinate differentiation gives vi(x)=−axi∣x∣−a−2 and ∣∇u(x)∣=a∣x∣−a−1. On B∖{0} these functions are continuous; assigning finite values at 0 and extending by zero off B 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].

2.1F1F3F4F5step 1.1

Put Iq(R)=∫0Rrq dr. By [F4], Iq(R) is finite exactly for q>−1 and then Iq(R)≤CqRq+1. Applying the polar formula [F3] to ∣u∣p and to the candidate gradient magnitude gives ∫B∣u∣p=σ(Sn−1)In−1−ap(1) and ∫B∣∇u∣p=apσ(Sn−1)In−1−p(a+1)(1). The factor σ(Sn−1) is finite and positive by [F3, F5]; for 0<R≤1 the same formulas yield ∫B(0,R)∣u∣≤CRn−a when a<n and ∫B(0,R)∣∇u∣≤CRn−a−1 when a<n−1.

3.1F1F2F3F5givenstep 2.1

The first polar identity in step 2.1 shows that u∈Lp(B) exactly when ap<n, since changing u(0) affects only the null singleton [F3]. For every M>0, choose 0<R<min⁡{1,M−1/a}; then ∣u(x)∣>M on B(0,R)∖{0}, a set of positive measure by [F5] and [F3]. Thus u is essentially unbounded and cannot lie in L∞(B). By [F2], it also cannot lie in W1,∞(B).

3.2F1F2F4F6F7F8step 1.1step 2.1

Suppose 1≤p<∞ and p(a+1)<n. Then a<n−1, so step 2.1 places u and every vi in Lp(B) and gives the small-ball L1 bounds. Fix one bump ρ from [F6], set ηε(x)=ρ(x/ε), and χε=1−ηε for 0<ε<1/2. Then χε=0 on B(0,ε), χε=1 off B(0,2ε), and ∣∂iχε∣≤C/ε. The product wε=χεu, defined as zero near the origin, is C1(B) and has classical partial ∂iwε=χεvi+u∂iχε away from 0 by [F6]. For each real test φ, [F7] gives ∫Bwε∂iφ=−∫B∂iwεφ. The left-side error from replacing wε by u is at most ∥∂iφ∥∞∫B(0,2ε)∣u∣=O(εn−a); the missing vi term is O(εn−a−1), and the cutoff term is at most C∥φ∥∞ε−1∫B(0,2ε)∣u∣=O(εn−a−1). All tend to zero because a<n−1. Thus ∫Bu∂iφ=−∫Bviφ for real tests. Split a complex test into real and imaginary parts and use [F8] to obtain the same identity for every complex test.

3.3F1F2F3F4F7step 1.1step 2.1

Conversely, suppose u∈W1,p(B) for finite p. For each i its weak derivative has an Lp representative. On B∖{0}, locality and classical compatibility in [F7], followed by uniqueness in [F7], identify that representative almost everywhere with vi from step 1.1. The origin is null by [F3]. Pointwise, ∣∇u∣p≤np/2∑i=1n∣Diu∣p, so the gradient magnitude is in Lp(B). The second polar identity in step 2.1 can be finite only if p(a+1)<n; at or above the threshold [F4] gives divergence.

4.1F1F2F3step 3.1step 3.2step 3.3∎

If p(a+1)<n, then ap<p(a+1)<n, so step 3.1 gives u∈Lp; step 3.2 gives all first weak derivatives in Lp, and [F2] gives u∈W1,p. Step 3.3 proves the converse. Since a>0 and p≥1, the condition is impossible when n=1. In the admissible range step 3.2 identifies Diu=[vi]; [F3] makes the chosen value at 0 irrelevant. Together with the p=∞ conclusion of step 3.1, this proves every assertion.

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Subcritical W1,p is not closed under multiplication

Statement refuted

Assume the Axiom of Countable Choice, inherited from the cited sharp radial-power example. Let n≥2 and 1≤p<n, let B1=B(0,1) and let χ∈Cc∞(B1;[0,1]) satisfy χ=1 on B(0,1/2). Choose a real exponent n/p−12≤α<np−1. Define u:B1→R by u(0)=0 and u(x)=χ(x)∣x∣−α for x≠0. Then u∈W1,p(B1;R), while its square u2 does not belong to W1,p(B1;R).

Thus W1,p is not closed under pointwise multiplication in the subcritical range 1≤p<n; the interval for α is nonempty exactly because p<n.

Facts & Assumptions

Given: Countable Choice, n≥2, 1≤p<n, the ball B=B(0,1), a cutoff χ with χ=1 on B(0,1/2) and supp⁡χ⊆B, and an exponent α with (n/p−1)/2≤α<n/p−1.

[F1]

The Axiom of Countable Choice, written ACω, is the only choice principle assumed (The Axiom of Countable Choice (ACω)).

[F2]

Sharp radial-power threshold: with u(0)=c and u(x)=∣x∣−a for x≠0, one has u∈W1,p(B;R) if and only if p(a+1)<n, for real a>0 (Sharp Sobolev threshold for a radial power).

[F3]

Membership in W1,p means the class and every first weak-derivative class lie in Lp (Integer-order Sobolev spaces and their norms).

[F4]

For real q and 0<R≤1: if q>−1 then ∫0Rrq dr<∞, and if q≤−1 then ∫0Rrq dr=+∞; the borderline case q=−1 diverges logarithmically. This follows from the power derivative and the fundamental theorem on [ϵ,R] 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).

[F5]

Under ACω, the polar-coordinate formula expresses ∫{0<∣x∣<R}f(x) dx=σ(Sn−1)∫0Rf(rω) rn−1dr for nonnegative Borel radial integrands, with finite positive surface measure σ(Sn−1) (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F6]

There is a smooth χ:Rn→[0,1] equal to 1 on B‾1/2(0) with support in B(0,1) (A smooth bump between concentric Euclidean balls).

[F7]

If u∈Wk,p(Ω;K) and η∈Cc∞(Ω;K), then ηu∈Wk,p(Ω;K) and the Leibniz formula represents its weak derivatives in Lp (Weak Leibniz rule with a smooth factor).

[F8]

A C1 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

technique · multiply the sharp radial example by a cutoff to manufacture a $W^{1,p}$ function whose square has a non-integrable gradient
1.1F2F4given

The choice α<n/p−1 gives p(α+1)<n, so by [F2] the power function g with g(0)=0 and g(x)=∣x∣−α for x≠0 lies in W1,p(B;R). The other inequality α≥(n/p−1)/2 gives p(2α+1)≥n, equivalently the radial exponent q=n−1−p(2α+1) satisfies q≤−1. Since p<n and p≥1 we have n/p−1>0, so the displayed interval for α is nonempty and contained in (0,∞).

2.1F7step 1.1given

Fix χ as in [F6] and u=χg on B; then u agrees with the definition of the Statement off the origin and u(0)=0. Since χ∈Cc∞(B) and g∈W1,p(B;R), [F7] gives u∈W1,p(B;R), with weak gradient represented by the Leibniz formula ∂i(χg)=(∂iχ)g+χ ∂ig.

3.1F8step 2.1given

Suppose for contradiction that u2∈W1,p(B;R), and let w∈Lp(B) be a representative of its weak gradient. On the punctured ball Ω∘=B∖{0} the function u2=χ2∣x∣−2α is C1, with classical gradient zi=∂i(χ2∣x∣−2α)=2χ(∂iχ)∣x∣−2α−2αχ2xi∣x∣−2α−2. By [F8] the classical gradient z is the weak gradient of u2∣Ω∘, while restricting the global weak gradient w to the open subset Ω∘ gives another weak gradient of the same restriction; uniqueness almost everywhere on Ω∘ therefore gives w=z almost everywhere on Ω∘.

4.1F3F4F5step 1.1step 3.1

On B(0,1/2) the cutoff satisfies χ=1 and ∂iχ=0, so step 3.1 gives ∣z(x)∣=2α∣x∣−2α−1 there. Since {0} is null, [F5] and [F4] yield ∫B∣w∣p=∫Ω∘∣z∣p≥(2α)pσ(Sn−1)∫01/2r n−1−p(2α+1) dr=+∞, because the exponent q=n−1−p(2α+1) satisfies q≤−1 by step 1.1 and the surface measure σ(Sn−1) is finite and positive. This contradicts w∈Lp(B), so u2∉W1,p(B;R).

5.1F1F2F3F5step 2.1step 4.1

The counterexample is therefore complete: u is a W1,p function with u⋅u∉W1,p, in the range n≥2, 1≤p<n. The endpoint p=n is excluded by the hypothesis, and the construction degenerates at α=0 in dimension n=1, 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 W1,p threshold for the radial power is not closed under multiplication: the square has a strictly worse singularity, ∣x∣−2α−1, and its p-th power fails to be integrable exactly when p(2α+1)≥n.
  • 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.
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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 2δ0.
  • 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 R the function u(x)=∣x∣ is locally integrable, and its second distributional derivative is ∂2T∣x∣=2δ0, that is ⟨∂2T∣x∣,φ⟩=2φ(0) for every test function φ∈Cc∞(R). Consequently ∣x∣∈Wloc1,∞(R) but ∣x∣∉Wloc2,1(R): the distribution 2δ0 is not the regular distribution of any locally integrable function.

Facts & Assumptions

Given: Countable Choice, the function u(x)=∣x∣ on R, and a test function φ∈Cc∞(R).

[F1]

For u∈Lloc1(Ω) the regular distribution is Tu(φ)=∫Ωuφ; the resulting map is injective on almost-everywhere classes under Countable Choice (Locally integrable functions as regular distributions).

[F2]

The distributional derivative satisfies ⟨∂αT,φ⟩=(−1)∣α∣⟨T,∂αφ⟩ (Distributional derivative).

[F3]

The Dirac distribution is δ0(φ)=φ(0) (Dirac delta and its derivatives).

[F4]

Under Countable Choice, integration by parts on a compact interval gives ∫abu′v=u(b)v(b)−u(a)v(a)−∫abuv′ and ∫abu′=u(b)−u(a) for complex C1 functions (Complex integration by parts on intervals and decaying lines).

[F5]

A test function in Cc∞(R) is smooth with compact support; its zero extension to R is smooth with compact support, so outside a sufficiently large [−R,R] the function and all its derivatives vanish (Test function space d of an open set).

[F6]

Under Countable Choice, ∣x∣∈W1,p(I;R) for every 1≤p≤∞ and every bounded open interval I containing 0, with weak derivative the class of the sign function (The absolute value has a weak first derivative).

[F7]

Under Countable Choice, a C1 function on an open set has its classical first partials as weak derivatives (Classical derivatives agree with weak derivatives).

[F8]

Membership in W2,1(U) requires a locally integrable weak derivative class for every multi-index ∣α∣≤2, and Wloc2,1(R) 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).

[F9]

Assume Countable Choice. For every open Ω⊆Rn, the regular-distribution map is injective modulo almost-everywhere equality: if v∈Lloc1(Ω) and ∫Ωvφ=0 for every test function φ∈Cc∞(Ω), then v=0 almost everywhere on Ω (Locally integrable functions embed in distributions).

[F10]

If K⊆U⊆Rn with K compact and U open, then there is a smooth ρ:Rn→[0,1] with ρ=1 on K and supp⁡(ρ)⊆U; applied on R to the compact set {0} inside the open interval I=(−1,1), this provides a test function ψ∈Cc∞(I) with ψ(0)=1 (A Euclidean bump for a compact set inside an open set).

[F11]

The Axiom of Countable Choice is the only choice principle assumed (The Axiom of Countable Choice (ACω)).

Proof

technique · split the pairing at the corner, integrate by parts twice, and read off the jump as a point mass
1.1F1F2F4F9F10F11step 2.1step 1.2step 3.1

The function ∣x∣ is continuous, hence locally integrable, so [F1] defines the regular distribution T∣x∣. Since the second-order multi-index has ∣α∣=2, [F2] gives ⟨∂2T∣x∣,φ⟩=(−1)2⟨T∣x∣,φ′′⟩=∫R∣x∣φ′′(x) dx, a finite integral because φ′′ is bounded with compact support. By [F5] fix R>0 with supp⁡φ⊆(−R,R). [F1, F2, F5, given] 1.2 ∣x∣∈Wloc1,∞(R): let I be a bounded open interval. If 0∉I, then ∣x∣ is C1 on I with classical derivative ±1, so [F7] makes that constant the weak derivative, and both ∣x∣ and its derivative lie in L∞(I), giving ∣x∣∈W1,∞(I). If 0∈I, [F6] gives ∣x∣∈W1,∞(I) directly with bounded weak derivative represented by the sign function. As I was arbitrary, ∣x∣∈Wloc1,∞(R). [F6, F7, given] 2.1 On the interval [0,R] apply [F4] with u(x)=x and v=φ′: ∫0Rxφ′′(x) dx=[Rφ′(R)−0⋅φ′(0)]−(φ(R)−φ(0)). On [−R,0] apply [F4] with u(x)=−x: ∫−R0(−x)φ′′(x) dx=[(−x)φ′(x)]−R0+∫−R0φ′(x) dx=−Rφ′(−R)+φ(0)−φ(−R). By the choice of R in step 1.1 we have φ(±R)=0 and φ′(±R)=0, so both right-hand sides equal φ(0), and adding the two half-line integrals gives ∫R∣x∣φ′′(x) dx=2φ(0). Hence ⟨∂2T∣x∣,φ⟩=2φ(0)=2δ0(φ) by [F3], and since φ was arbitrary, ∂2T∣x∣=2δ0. [F3, F4, step 1.1, given] 3.1 ∣x∣∉Wloc2,1(R): suppose otherwise and take I=(−1,1). Then ∣x∣∈W2,1(I), so by [F8] there is v∈L1(I) representing the second weak derivative: ∫I∣x∣φ′′(x) dx=∫Iv(x)φ(x) dxfor every test φ supported in I. Step 2.1 computes the left side as 2φ(0) for every test function φ on R, hence for every test function supported in I. Let U+=(0,1) and U−=(−1,0). If φ is a test function supported in U+, then φ(0)=0, so ∫U+vφ=∫Ivφ=2φ(0)=0; as φ was arbitrary, [F9] applied on the open set U+ gives v=0 almost everywhere on U+. The same computation on U− gives v=0 almost everywhere on U−, and since I∖(U+∪U−)={0} is a singleton, hence null, v=0 almost everywhere on I. By [F10] applied to the compact set {0} inside the open set I there is a test function ψ∈Cc∞(I) with ψ(0)=1; the weak-derivative identity for this ψ gives ∫Ivψ=∫I∣x∣ψ′′=2ψ(0)=2, while v=0 almost everywhere on I gives ∫Ivψ=0, a contradiction. Hence ∣x∣∉W2,1(I) for this I, and therefore ∣x∣∉Wloc2,1(R). [F8, F9, F10, step 2.1] 4.1 The example is complete: the second distributional derivative of ∣x∣ is the point mass 2δ0, 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 0 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 2δ0 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.
ExampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-09-30Open item page →

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 W1,p, and Chapter 2 §2.2, the truncation paragraph and Theorem 2.3 with its proof, printed pp. 29–31, where u+, u− and ∣u∣ are shown to lie in W1,p(Ω) for 1≤p<∞ by cutting the corner maps at scale ε 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 p=∞; the argument below does not import it but applies the library's own truncation calculus of this page, which already covers 1≤p≤∞ 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 W1,p and Hk 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 W1,p function is stated as an exercise for 1≤p≤∞. 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 M>0, let n≥1, and let Q:=(−2M,2M)n={ x∈Rn:−2M<xi<2M for i=1,…,n } be the open cube of side 4M. Define w:Rn→R by w(x):=min⁡{M,max⁡{0,x1}}. Then:

  1. w∈W1,p(Q) for every 1≤p≤∞.
  2. Pointwise, w=0 on {x1≤0}, w(x)=x1 on {0<x1<M}, and w=M on {x1≥M}.
  3. The weak gradient of w on Q is represented by the vector field g with g(x)=e1 for 0<x1<M and g(x)=0 otherwise: that is, D1w is the class of 1{0<x1<M} and Diw=0 for i≥2, so the weak gradient is e1 on the middle slab and 0 elsewhere. The interface pieces Q∩{x1=0} and Q∩{x1=M} 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 w, and the derivative statements of clause 3 are almost-everywhere statements about classes; no pointwise derivative of an arbitrary representative of w is claimed.

Facts & Assumptions

Given: The Axiom of Choice; the numbers M>0 and n≥1; the open cube Q=(−2M,2M)n; the function w(x)=min⁡{M,max⁡{0,x1}}; and the first coordinate function f(x)=x1.

[F1]

The Axiom of Choice asserts a choice function for every family of nonempty sets (The Axiom of Choice).

[F2]

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).

[F3]

W1,p(Ω;K) is the set of classes u∈Lp(Ω;K) such that for every first-order multi-index there is an Lp class with a locally integrable representative satisfying the signed test identity for every test function; each such derivative determines one class Dαu, and D0u=u (Integer-order Sobolev spaces and their norms).

[F4]

Assume Countable Choice. If u:Ω→C has real and imaginary parts of class Ck on the open Ω⊆Rn, then for every multi-index α with ∣α∣≤k the componentwise classical derivative ∂αu is locally integrable and is the weak derivative Dαu (Classical derivatives agree with weak derivatives).

[F5]

Assume the Axiom of Choice. For a real class u∈W1,p(Ω;R) and every 1≤p≤∞, the positive part u+=max⁡{u,0} and the truncation TMu=min⁡{M,max⁡{−M,u}} lie in W1,p(Ω), with Diu+=1{u>0}Diu and DiTMu=1{∣u∣<M}Diu almost everywhere on Ω; moreover DiTMu vanishes almost everywhere on {u=M} and on {u=−M}, so the two indicator conventions for TMu agree (Positive, negative, and truncated Sobolev functions).

[F6]

For k∈N, a function f is of class Ck on the open U when for every word (i1,…,ir) of coordinate indices with 0≤r≤k the iterated derivative ∂ir⋯∂i1f exists and is continuous on U; the word of length 0 denotes f, and the multi-index conventions are those fixed there (Ck maps and multi-index derivative notation in Euclidean space).

[F7]

If the line map t↦f(a+tv) is defined near 0, its derivative at 0 is the directional derivative Dvf(a)=lim⁡t→0f(a+tv)−f(a)t; for a standard basis vector ej the number Dejf(a) is the jth partial derivative, written ∂jf(a) (Directional derivatives and partial derivatives of a map U⊆Rm→Rn).

[F8]

We use the owning page's coordinate labels 1,…,n: for the canonical function x:{0,…,n−1}→R, the notation xi here means x(i−1). Likewise ei here is the canonical standard vector with index i−1, so ei(i−1)=1 and ei(j−1)=0 for 1≤j≤n, j≠i. Thus (ei)j=δij in the page notation, including n=1. Partial and weak derivative labels use the same relabeling. Finite sums in the function space are pointwise (The standard list e:n→Fn with ei(i)=1F and ei(j)=0F for j≠i is an ordered basis of Fn; hence dim⁡FFn=n, and F0 is the zero space with basis ∅ and dimension 0).

[F10]

A map of metric spaces is continuous at every point in the ε-δ 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).

[F11]

For a metric space A⊆Rn and f:A→Rm, continuity at a∈A is the condition that for every ε>0 there is δ>0 with d(x,a)<δ⇒∥f(x)−f(a)∥2<ε, and this is verbatim the metric notion of continuity (Vector-valued functions f:A→Rm, their limits and continuity, with the dictionary to the metric notions).

[F12]

The limit lim⁡x→cg(x)=L of a real function means that for every ε>0 there is δ>0 with 0<∣x−c∣<δ⇒∣g(x)−L∣<ε (The ε-δ limit lim⁡x→cf(x)=L of f:A→R at a limit point c of A).

[F13]

Assume Countable Choice. Let ai≤bi be reals and put R∘={x:ai<xi<bi for every i}. Then R∘ is open and every set R with R∘⊆R⊆R‾ is Lebesgue measurable with λn(R)=∏i(bi−ai); in particular λn gives measure 0 to such a box whenever ai=bi for some coordinate (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included).

[F14]

If μ(X)<∞, 1≤p<∞ and f∈L∞(μ), then f∈Lp(μ) (Finite-measure Lr includes into Lp for p<r).

[F15]

If f is measurable with ∥f∥∞<∞ then ∣f∣≤∥f∥∞ almost everywhere; and if M≥0 and ∣f∣≤M almost everywhere then ∥f∥∞≤M (The essential supremum is attained as the least essential bound).

[F16]

L∞(μ) is the space of essentially bounded measurable real functions, with size measured by the essential supremum (The space L∞(μ) of essentially bounded measurable functions).

[F17]

Assume Countable Choice. Every continuous map Rn→Rm is Borel measurable (Continuous functions on Euclidean spaces are Borel measurable), and every Borel subset of Rn is Lebesgue measurable (Assuming countable choice, every Borel subset of Rn is Lebesgue measurable).

[F18]

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).

[F19]

Assume Countable Choice. Changing locally integrable representatives on a null set preserves the weak-derivative relation, and Lp 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).

[F20]

For c>0 one has ∣x∣<c if and only if −c<x<c (Basic properties of the absolute value).

[F21]

If S⊆R then m is a maximum of S when m∈S and s≤m for every s∈S, and a minimum of S when m∈S and m≤s for every s∈S; maxima and minima are unique (Maximum and minimum of a set).

[F22]

An ordered field has trichotomy and closure of its positive cone, with a<b meaning b−a∈P and a≤b meaning a<b or a=b (Ordered field).

[F23]

The positive part of a function is f+=max⁡{f,0} (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

technique · direct: identify the clipping as the truncation $T_M$ of the positive part of the first coordinate function, verify the $C^1$ calculus of that affine function, and apply the positive-part and truncation rules of the preceding corollary
1.1F1F2given

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 M>0, the cube is nonempty: −2M<0<2M, so 0∈Q. No representative is selected in this proof.

1.2F5F21F22F23

Elementary clipping identities. For every real t one has max⁡{0,t}=0 for t≤0 and max⁡{0,t}=t for t≥0 by [F21] and [F22]; consequently, for M>0, min⁡{M,max⁡{0,t}}=0 for t≤0, =t for 0<t<M, and =M for t≥M. Moreover max⁡{−M,max⁡{0,t}}=max⁡{0,t} for every t: with u:=max⁡{0,t} one has u≥0 and −M<0≤u by [F22], so u is the larger of the two arguments [F21]. Hence the truncation of [F5] satisfies TM(max⁡{0,t})=min⁡{M,max⁡{−M,max⁡{0,t}}}=min⁡{M,max⁡{0,t}} for every t.

1.3F6F7F8F9F10F11F12F22given

The coordinate function f(x):=x1 is of class C1 on Q, with ∂1f≡1 and ∂jf≡0 for j≥2. Fix a∈Q and a coordinate index j. For real t≠0, [F8] and the pointwise operations give f(a+tej)=(a+tej)1=a1+t (ej)1, so the difference quotient of [F7] is f(a+tej)−f(a)t=a1+t (ej)1−a1t=(ej)1 for every t≠0 by [F22]; this is the constant function t↦(ej)1 on R∖{0}. For every ε>0 the choice δ:=1 gives ∣(ej)1−(ej)1∣=0<ε whenever 0<∣t∣<δ, so the limit of the difference quotient at 0 is (ej)1 in the sense of [F12], and ∂jf(a)=(ej)1 exists by [F7]; by [F8] this value is 1 for j=1 and 0 for j≥2. The function f is the first coordinate projection, hence continuous on Q by [F9], which is the ε-δ notion by [F10] and [F11]; and each ∂jf is a constant function on Q, hence continuous by the ε-δ condition of [F11], any δ>0 serving at every point. Therefore every word of length at most 1 in the sense of [F6] has an existing continuous iterated derivative, that is, f∈C1(Q).

2.1F13F14F15F16F17F20step 1.3given

Bounds and Lp membership of f and its first partials. The cube Q is the box R∘ of [F13] with ai=−2M and bi=2M, so it is open and λn(Q)=(4M)n<∞, and for x∈Q the inequalities −2M<x1<2M give ∣x1∣<2M by [F20]. Hence ∣f∣≤2M on Q, while ∣∂1f∣=1 and ∂jf=0 on Q by step 1.3. The functions f, ∂1f and ∂jf are continuous on Q by step 1.3, hence Borel measurable and Lebesgue measurable under Countable Choice by [F17]. Therefore ∥f∥∞≤2M and ∥∂jf∥∞≤1 by [F15], so the classes of f and of each ∂jf lie in L∞(Q) by [F16], and in Lp(Q) for every 1≤p<∞ by [F14] applied to the finite measure λn(Q); for p=∞ the membership is the L∞ statement itself.

2.2step 1.2given

Region values (clause 2 of the Statement). By step 1.2 applied at t=x1, the function w(x)=min⁡{M,max⁡{0,x1}} vanishes for x1≤0, equals x1 for 0<x1<M, and equals M for x1≥M; these are pointwise identities on all of Rn.

3.1F3F4step 1.3step 2.1given

Classical derivatives are weak derivatives here: by [F4] applied with k=1 to the real-valued C1 function f of step 1.3, the classical derivatives ∂αf for ∣α∣≤1 are locally integrable and are the weak derivatives Dαf; for α=0 this says D0f=f, and for α=ej it says Djf=∂jf weakly. By step 2.1 the classes [f] and [∂jf] lie in Lp(Q) for every 1≤p≤∞, so the definition [F3] gives [f]∈W1,p(Q;R) with D1[f]=[1] and Dj[f]=[0] for j≥2, the classes of the constant functions 1 and 0 on Q.

4.1F5F23step 3.1given

The positive part. Let u:=f+ be the positive part of the real class [f] of step 3.1, as in [F23]; it is represented by the continuous function max⁡{0,x1} on Q. By [F5] applied to [f] one has u∈W1,p(Q) with Dju=1{f>0}Djf almost everywhere on Q. Substituting the representatives of step 3.1 and the pointwise identity {f>0}={x1>0}, this says D1u=[1{x1>0}] and Dju=[0] for j≥2 almost everywhere on Q.

5.1F5F18step 1.2step 4.1given

The truncation. Apply [F5] again, now to the real class u∈W1,p(Q;R) of step 4.1 and the same level M>0: the truncation TMu lies in W1,p(Q) with DjTMu=1{∣u∣<M}Dju almost everywhere on Q. By step 1.2 the representative max⁡{0,x1} of u satisfies TM(max⁡{0,x1})=min⁡{M,max⁡{0,x1}}=w pointwise on Q (indeed on Rn), and w is measurable: it is obtained from the measurable function max⁡{0,x1} by composition with the continuous, hence Borel, map t↦min⁡{M,max⁡{−M,t}} [F18]. So w is a representative of the class TMu, and hence [w]=TMu∈W1,p(Q) for every 1≤p≤∞. This proves clause 1 of the Statement.

6.1F5F18F21F22step 4.1step 5.1given

Derivative computation. On Q the level set of u is {∣u∣<M}={x1<M}: since u=max⁡{0,x1}≥0, the inequality u<M holds when x1≤0 because then u=0<M, and when x1>0 it reads x1<M; conversely x1<M gives u<M. Consequently 1{∣u∣<M}=1{x1<M} pointwise on Q, and multiplying the representatives of step 4.1 gives 1{x1<M}1{x1>0}=1{0<x1<M} and 1{x1<M}⋅0=0 pointwise on Q 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 Lp classes. Therefore D1[w]=[1{0<x1<M}] and Dj[w]=[0] for j≥2, all equalities almost everywhere on Q: the weak gradient of w is represented by the vector field g with g(x)=e1 on the middle slab {0<x1<M} and g(x)=0 for x1≤0 and for x1≥M.

7.1F5F13F19step 6.1given

Interface irrelevance (clause 3 of the Statement). The pieces Q∩{x1=0} and Q∩{x1=M} are boxes with a degenerate side: in the terminology of [F13] each is contained in the closed box R‾ with the first pair of endpoints both equal to 0, respectively both equal to M, and the other pairs (−2M,2M). For either box R∘=∅, and R∘⊆Q∩{x1=c}⊆R‾ for the corresponding c=0 or M; 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 Lp class of the derivative. Consequently any function that agrees with 1{0<x1<M} off the two interface hyperplanes represents the same class D1[w], and any function that agrees with 0 off them represents Dj[w] for j≥2: the interface values are irrelevant, and the same conclusion is recorded by the level-set clause of [F5] at {u=M}.

8.1F1F2F4F5F13F17F19step 1.1step 2.1step 3.1step 5.1

Degenerate cases and accounting. The one-dimensional case n=1 is included: no step uses more than one coordinate direction, and e1 is then the single standard basis vector. The exponent endpoints p=1 and p=∞ are included: steps 2.1 and 3.1 give Lp membership of f and its first partials at both endpoints, and [F5] is stated for every 1≤p≤∞. The level is fixed at M>0, so Q has side 4M>0 and is nonempty by step 1.1; no limiting case M→0 or M=∞ is claimed, and clause 1 concerns the fixed cube Q. 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