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Calderón–Zygmund Decomposition and Singular Integrals — Examples

1 · Prerequisites

2 · Summary

These examples and counterexamples anchor the strict-range theory of the companion page and mark the endpoints it leaves open. All of them assume Countable Choice where a choice is made.

The decomposition of the interval indicator 1(0,1] at height 1/4 is computed completely on the all-generation half-open dyadic grid: the unique maximal bad interval is (0,2] with average 2λ, the parent (0,4] has average exactly λ and is good, and the bad and good parts read off from the formulas satisfy the 2λ average bound, the mean-zero property and the measure bound with equality in spirit. The Riesz kernel cnxj/∣x∣n+1 is verified to be a standard 1-Hölder Calderón–Zygmund kernel with the published size, first-difference and spherical-mean estimates, and the Newtonian Hessian is analysed the same way: twice differentiating ∣x∣2−n/((n−2)σn−1) gives an off-origin kernel of degree −n whose principal value is L2-bounded with symbol −ξiξj/∣ξ∣2+δij/n, after the local delta term of ∂ijΓ is removed.

The two Hilbert-transform counterexamples use the same explicit interval transform π−1log⁡∣x/(x−1)∣: its 1/∣x∣ tail at infinity is not integrable, so no compatible strong type (1,1) extension exists, and its logarithmic divergence at 0 and 1 rules out a compatible bounded action on L∞. Neither computation refutes the weak (1,1) bound or a BMO endpoint. Finally, the positive kernel ∣x∣−n shows that the pointwise size condition alone produces no principal value and no finite maximal truncation, isolating cancellation as an essential hypothesis of the theory.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-6.1-sol)Open item page →

Calderón–Zygmund decomposition of an interval indicator

Example

Assume Countable Choice. Take f=1(0,1] on R with the half-open all-generation dyadic grid (a,b] of Dyadic cubes of all generations in R^n and λ=1/4. The unique maximal dyadic interval with average of ∣f∣ above λ is (0,2], whose average is 1/2=2λ; the bad part is b=121(0,1]−121(1,2] and the good part is g=121(0,2], so ∣g∣=2λ on (0,2], ∫b=0 and ∑∣Q∣=2≤λ−1∥f∥1=4. The parent (0,4] of the maximal bad interval has average exactly λ and is therefore good, which is how the 2λ average bound is attained.

Facts & Assumptions

Given: Countable Choice (The Axiom of Countable Choice (ACω)); the function f=1(0,1] on R; the all-generation half-open dyadic intervals (m2−k,(m+1)2−k] of Dyadic cubes of all generations in R^n; the height λ=1/4; the decomposition of Calderón–Zygmund decomposition at height λ.

[F1]

The dyadic intervals of all generations are nested or disjoint, at each generation they partition R, and the interval (m2−k,(m+1)2−k] has length 2−k (All-generation dyadic cubes: partition, volume and nesting).

[F2]

Decomposition at height λ: for f∈L1(R) the maximal bad dyadic intervals Q, those with ∣Q∣−1∫Q∣f∣>λ that are maximal under inclusion, are pairwise disjoint, and with b=∑j(f−∣Qj∣−1∫Qjf)1Qj and g=f−b one has ∫b=0, ∣g∣≤2nλ=2λ on the bad intervals, and ∑j∣Qj∣≤λ−1∥f∥1 (Calderón–Zygmund decomposition at height λ).

Verification

technique · direct
1.1F1F2givenalgebra

By [F1], a dyadic interval meeting (0,1] is either contained in it or contains it. The former have average 1. A containing interval of length 2a, a≥0, has average 2−a, exceeding λ=1/4 exactly when a=0 or a=1. The unique ancestors of these lengths are (0,1] and (0,2], while (0,4] has average exactly λ and every coarser ancestor has smaller average. Intervals disjoint from (0,1] have average zero. Thus all bad intervals are contained in (0,2], which is itself bad and is the unique maximal bad interval, with average 1/2=2λ.

2.1F2step 1.1givenalgebra

Reading off the formulas of the decomposition [F2] for the single maximal bad interval Q=(0,2]: ∣Q∣=2, ∣Q∣−1∫Qf=1/2, so b=f−121(0,2]=121(0,1]−121(1,2] and g=121(0,2].

3.1step 1.1step 2.1algebra∎

The checks: f=1(0,1] has ∥f∥1=1 and λ−1∥f∥1=4; ∑∣Q∣=∣(0,2]∣=2≤4; ∣g∣=1/2=2λ on its support; and ∫b=12λ((0,1])−12λ((1,2])=12−12=0. This is the asserted finite verification of maximality, of the 2λ average bound, and of the parent-good property.

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The Riesz kernel is a standard Calderón–Zygmund kernel

Example

Assume Countable Choice. For n≥1 and 1≤j≤n the Riesz kernel Kj(x)=cnxj/∣x∣n+1 satisfies the pointwise size bound ∣Kj(x)∣≤cn∣x∣−n, the δ=1 first-difference bound on ∣x∣≥2∣y∣>0, and the zero spherical-mean estimate; the Riesz transform Rj is L2-bounded and the published principal-value formula identifies its truncations on Schwartz functions. Hence Rj is a standard-kernel Calderón–Zygmund operator in the sense of this page.

Facts & Assumptions

Given: Countable Choice; the integer n≥1 and index 1≤j≤n; a compactly supported f∈L2 and a test function φ∈Cc∞ supported off supp⁡f.

[F1]

Kj(x)=cnxj/∣x∣n+1 satisfies ∣Kj(x)∣≤cn∣x∣−n; ∣Kj(x−h)−Kj(x)∣≤Cn∣h∣∣x∣−(n+1) whenever x≠0 and ∣h∣≤∣x∣/2; and ∫Sn−1Kj(rω)dσ(ω)=0 for every r>0 (Riesz kernel size, difference and spherical-cancellation bounds).

[F2]

For every Schwartz function g the truncated integrals ∫∣y∣>εKj(y)g(x−y)dy converge as ε↓0 to a continuous representative of the L2 class Rjg, for every x (The Riesz transform is the principal value of its kernel, with the matching constant).

[F3]

Rj is the L2 Fourier multiplier with symbol mj(ξ)=−iξj/∣ξ∣ for ξ≠0, ∥Rjf∥2≤∥f∥2, and Plancherel's theorem identifies the pairing ⟨Rjf,g⟩ with ∫mjf^ g^‾ for the first-variable-linear pairing (Riesz transforms on Euclidean space, Riesz transforms are L2 contractions and square to minus the identity in sum, Plancherel theorem, The Hilbert-space adjoint of a bounded operator).

[F4]

A Calderón–Zygmund kernel is a measurable k on Rn∖{0}, locally integrable there, with finite annular constant and finite Hörmander constant; a pointwise bound ∣k∣≤c∣⋅∣−n implies the annular condition with A1=c∣Sn−1∣log⁡2; a Calderón–Zygmund operator is an L2-bounded linear operator satisfying the off-support kernel representation for compactly supported L2 inputs (Calderón–Zygmund kernels and their associated operators, Standard (Hölder) Calderón–Zygmund kernels, Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma). Polar coordinates give ∫∣x∣≥a∣x∣−n−1dx=∣Sn−1∣/a for a>0.

[F5]

Fubini interchanges absolutely integrable complex double integrals, and locally integrable functions with equal distribution pairings agree almost everywhere. (Fubini's theorem for L^1 functions on a sigma-finite product, Locally integrable functions embed in distributions)

Verification

technique · direct
1.1F1F3given

The published estimates give exactly the size bound ∣Kj(x)∣≤cn∣x∣−n, the δ=1 first-difference bound in the regime ∣x∣≥2∣h∣>0 with constant A2′=Cn, and the vanishing of all spherical means of Kj. The formula for Kj makes it smooth, hence measurable and locally integrable, off the origin.

1.2F3given

Rj is L2-bounded with norm at most one, since its symbol mj is measurable with ∣mj∣≤1 on {ξ≠0} and the Plancherel multiplier bound gives ∥Rj∥≤∥mj∥∞≤1; thus B=1 is an admissible L2 norm bound.

1.3F3givenalgebra

Rj is skew-adjoint: for f,g∈L2, ⟨Rjf,g⟩=∫mjf^g^‾=∫f^(−mj)g^‾=⟨f,−Rjg⟩, because mj‾=−mj for the purely imaginary symbol; hence Rj∗=−Rj.

2.1F1F4step 1.1algebra

The pointwise size bound gives the annular condition with A1=cn∣Sn−1∣log⁡2. For every h≠0, integrating the raw difference bound in [F1] and using polar coordinates yields ∫∣x∣≥2∣h∣∣Kj(x−h)−Kj(x)∣ dx≤Cn∣h∣∫∣x∣≥2∣h∣∣x∣−n−1dx=Cn∣h∣ ∣Sn−1∣2∣h∣=12Cn∣Sn−1∣. Thus Hörmander's condition holds with A2=∣Sn−1∣2−1Cn. Together with step 1.1 this proves that Kj is a Calderón–Zygmund kernel, and its raw first-difference bound now makes it standard 1-Hölder with constant Cn.

2.2F1F2F3step 1.3algebraF5

Let f∈L2 have compact support and let φ∈Cc∞ be supported off it. If either is zero the formula is immediate; otherwise the supports have distance d>0. By skew-adjointness and [F2], ∫(Rjf)φ=⟨Rjf,φ‾⟩=−∫f(y)Rjφ‾(y)‾ dy=−∬Kj(y−x)f(y)φ(x) dx dy=∬Kj(x−y)f(y)φ(x) dx dy. The kernel is real and odd, and the positive separation and bounded supports make the double integral absolutely convergent. Fubini and injectivity of locally integrable distribution pairings identify Rjf almost everywhere off its support with ∫Kj(x−y)f(y) dy.

3.1F4step 1.1step 2.1step 1.2step 2.2∎

Steps 2.1, 1.2 and 2.2 verify the annular and Hörmander bounds for Kj, the L2 bound for Rj and the off-support representation for compactly supported L2 inputs; by steps 1.1 and 2.1 the kernel is standard 1-Hölder. Therefore Rj is a standard-kernel Calderón–Zygmund operator in the sense of the base definition and the standard-kernel definition.

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Strong type (1,1) fails for the Hilbert transform

Statement refuted

Assume Countable Choice (The Axiom of Countable Choice (ACω)).

The interval indicator f=1(0,1] lies in L1(R), but its Hilbert transform is Hf(x)=π−1log⁡∣x/(x−1)∣ for x∉{0,1}, which is not integrable because ∣Hf(x)∣≳1/∣x∣ for large x. Hence the Hilbert transform has no compatible strong type (1,1) extension: there is no bounded L1→L1 extension agreeing with the L2 Hilbert transform on L1∩L2. No weak (1,1) estimate is refuted here; the Hilbert transform is a Calderón–Zygmund operator and the companion page proves the weak endpoint instead.

Facts & Assumptions

Given: Countable Choice; the indicator f=1(0,1]; the function q(x)=1πlog⁡∣x∣∣x−1∣ on R∖{0,1}; the dominating function G(x):=∣q(x)∣ off {0,1}, with arbitrary values on that null set; the Lp conventions of Complex Lp classes and Euclidean test-function conventions.

[F1]

For h∈Lp(R), 1≤p<∞, and ε>0, the truncation Hεh(x)=1π∫∣x−y∣>εh(y)x−y dy is an absolutely convergent Lebesgue integral, is defined for every x, and depends only on the almost-everywhere class of h (Truncated Hilbert transform and principal value). The interval-specific domination ∣Hεf∣≤G is proved in step 1.1 below.

[F2]

For every Schwartz function φ the principal value lim⁡ε↓0Hεφ(y) exists at every y and equals Hφ(y); the Hilbert transform extends to an isometric L2 multiplier operator with H∗=−H for the first-variable-linear pairing, so ⟨Hh,ψ⟩=⟨h,H∗ψ⟩ (The Hilbert transform is the tempered convolution with pv(1/(pi x)) and has signum Fourier multiplier, The Hilbert transform is an L2 isometry and squares to minus the identity, The Hilbert transform is skew-adjoint on L2, The Hilbert-space adjoint of a bounded operator).

[F3]

Dominated convergence holds for sequences dominated by an integrable function on a fixed measure space (Dominated convergence); Countable Choice is assumed throughout and is used only through the cited suppliers.

[F4]

Fubini interchanges absolutely integrable complex double integrals, and locally integrable functions with equal distribution pairings agree almost everywhere. (Fubini's theorem for L^1 functions on a sigma-finite product, Locally integrable functions embed in distributions)

Counterexample

technique · direct
1.1F1givenalgebra

Explicit values of the truncations. For x∉{0,1} and 0<ε<d(x):=min⁡{∣x∣,∣x−1∣} the truncation is a sum of ordinary integrals with no singular point in the domain, and direct antiderivatives give: for x<0 or x>1, Hεf(x)=1π∫01dyx−y=1πlog⁡∣x∣∣x−1∣=q(x); for 0<x<1, Hεf(x)=1π(∫0x−ε+∫x+ε1)dyx−y=1π(log⁡x−log⁡ε+log⁡ε−log⁡(1−x))=1πlog⁡x1−x=q(x), since ∣x/(x−1)∣=x/(1−x) there. Hence Hεf(x)=q(x) for every ε<d(x), so lim⁡ε↓0Hεf(x)=q(x) at every x∉{0,1}. Moreover, for 0<x<1 direct integration gives πHεf(x)=(log⁡(x/ε))+−(log⁡((1−x)/ε))+. Since u↦u+ is 1-Lipschitz, ∣Hεf(x)∣≤∣q(x)∣. Outside [0,1] the integrand has one sign, so deleting part of the integration domain also gives ∣Hεf(x)∣≤∣q(x)∣. Thus G dominates the truncations almost everywhere. It is locally integrable because ∣q(x)∣≤π−1(∣log⁡∣x∣∣+∣log⁡∣x−1∣∣) and ∫0a∣log⁡t∣ dt<∞ for finite a>0.

1.2F1F2F3givenalgebraF4

Distributional convergence to the L2 transform. Let φ∈Cc∞(R) and put bε(y):=1π∫∣x−y∣>εφ(x)‾x−y dx; on the domain ∣x−y∣≥ε the double integral ∬∣x−y∣>ε∣f(y)φ(x)∣∣x−y∣ dy dx is finite because ∣x−y∣−1≤ε−1 and f and φ are bounded with bounded support, so Fubini applies and ⟨Hεf,φ⟩=∫01f(y)bε(y) dy. As ε↓0 one has bε(y)=−1π∫∣x−y∣>εφ(x)‾y−x dx→−Hφ‾(y)=−Hφ(y)‾, using that the kernel is real and [F2]; the convergence is dominated by a constant depending on φ, because applying the estimate ∣∫∣t∣>εψ(y+t)t−1dt∣≤∫∣t∣≤1∣ψ(y+t)−ψ(y)∣ ∣t∣−1dt+∫∣t∣>1∣ψ(y+t)∣ dt≤2∥ψ′∥∞+2∥ψ∥1 to ψ=φ‾ bounds all bε(y) uniformly. Hence dominated convergence on the finite-measure set (0,1] gives ⟨Hεf,φ⟩→−∫01f(y)Hφ(y)‾ dy=−⟨f,Hφ⟩=⟨f,H∗φ⟩=⟨Hf,φ⟩.

1.3givenalgebra

q∉L1(R): for x≥2 one has xx−1=1+1x−1 with 1x−1≤1, and log⁡(1+u)≥u2 for 0≤u≤1, so q(x)=1πlog⁡(1+1x−1)≥12π(x−1)≥12πx. Therefore ∫2∞∣q∣≥12π∫2∞dxx=+∞.

2.1F2step 1.1step 1.2algebraF4

Identification of the limit. On each compact K the domination ∣Hεf∣≤G of step 1.1 with G∈L1(K) and the pointwise convergence Hεf→q off the null set {0,1} let dominated convergence pass the limit inside the pairing: ⟨Hεf,φ⟩→∫q φ‾ for every test function φ supported in K, hence for every test function. Comparing with step 1.2, ∫(q−Hf)φ‾=0 for every φ∈Cc∞, and both q and the L2 class Hf are locally integrable, so q=Hf almost everywhere; in particular f∈L1∩L2 with ∥f∥1=1 and Hf=q.

3.1step 2.1step 1.3algebra∎

Suppose T:L1(R;C)→L1(R;C) were bounded and agreed with the L2 Hilbert transform on L1∩L2. Since f∈L1∩L2 by step 2.1, the L1 class Tf would equal the L1 class Hf, which step 2.1 identifies with q; but q∉L1 by step 1.3, whereas Tf∈L1 by definition of T. This contradiction shows that no such T exists, which is exactly the failure of strong type (1,1); the statement says nothing about weak type (1,1).

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Calderón–Zygmund operators need not map L∞ to L∞

Statement refuted

Assume Countable Choice (The Axiom of Countable Choice (ACω)).

The bounded function f=1(0,1] has compatible Hilbert transform q(x)=π−1log⁡∣x/(x−1)∣, which is essentially unbounded near 0 and near 1: q(x)→−∞ as x→0 and q(x)→+∞ as x→1. Therefore no bounded L∞→L∞ extension agrees with the L2 Hilbert transform on L∞∩L2, and L∞ need not be mapped to L∞ by a Calderón–Zygmund operator. No BMO-valued endpoint estimate is refuted or asserted here.

Facts & Assumptions

Given: The indicator f=1(0,1], its transform q(x)=1πlog⁡∣x∣∣x−1∣ on R∖{0,1}, and the truncations Hε of Truncated Hilbert transform and principal value.

[F1]

f∈L1∩L2, the symmetric principal value satisfies lim⁡ε↓0Hεf(x)=q(x) for every x∉{0,1}, and Hf=q almost everywhere as an L2 class (Strong type (1,1) fails for the Hilbert transform, Truncated Hilbert transform and principal value).

Counterexample

technique · direct
1.1F1givenalgebra

The function q is unbounded above and below on every punctured neighbourhood of the endpoints: for 0<x<1, ∣x∣∣x−1∣=x1−x, which tends to 0 as x→0+ and to +∞ as x→1−; since log⁡ is continuous, strictly increasing, with lim⁡u↓0log⁡u=−∞ and lim⁡u→∞log⁡u=+∞, one has q(x)→−∞ as x→0+ and q(x)→+∞ as x→1−. Hence for every M>0 the sets {q>M} and {q<−M} contain nondegenerate intervals, so both have positive Lebesgue measure and q is not essentially bounded.

2.1F1step 1.1algebra∎

Suppose T:L∞(R;C)→L∞(R;C) were bounded and agreed with the L2 Hilbert transform on L∞∩L2. Since f∈L∞∩L2 by [F1], the class Tf would equal the class Hf=q; but q is not essentially bounded by step 1.1, whereas every class in L∞ is essentially bounded. This contradiction shows that no bounded L∞→L∞ extension compatible on L∞∩L2 exists, which is the asserted failure; nothing here concerns a BMO-valued estimate.

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Size without cancellation does not give a principal value

Statement refuted

Assume Countable Choice (The Axiom of Countable Choice (ACω)).

The positive kernel k(x)=∣x∣−n satisfies the pointwise size bound ∣k(x)∣=∣x∣−n, but its symmetric truncations diverge: for f=1B(0,1) one has Tεf(0)=∫ε<∣y∣<1∣y∣−n dy=∣Sn−1∣log⁡1ε→∞(ε↓0). Hence the pointwise size condition alone gives neither a principal-value distribution along this sequence nor a finite maximal truncated operator, and cancellation needed for principal values is not implied by size, even together with Hörmander smoothness.

Facts & Assumptions

Given: The kernel k(x)=∣x∣−n on Rn∖{0}, the indicator f=1B(0,1), the truncations Tε,T(ε,N) and the maximal operators T∗,T∗∗ of Maximal truncated singular integrals, and Countable Choice.

[F1]

The polar-coordinates formula identifies ∫Rng(x) dx=∫0∞∫Sn−1g(rθ) dσn−1(θ) rn−1dr for Borel g≥0, with σn−1(Sn−1)=∣Sn−1∣ the surface measure of the unit sphere (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F2]

For f∈Lp, 1≤p<∞, and k with ∣k(x)∣≤A1∣x∣−n, the truncations Tεf(x) and T(ε,N)f(x) are absolutely convergent for every x, and the maximal operators are T∗f(x)=sup⁡ε>0∣Tεf(x)∣, T∗∗f(x)=sup⁡0<ε<N∣T(ε,N)f(x)∣ (Maximal truncated singular integrals).

[F3]

A principal-value distribution for k is a tempered distribution W agreeing with k on Rn∖{0} for which some sequence δj↓0 gives ⟨W,φ⟩=lim⁡j∫∣x∣≥δjk(x)φ(x) dx for every φ∈S(Rn) (Calderón–Zygmund kernels and their associated operators).

Counterexample

technique · direct
1.1F1F2givenalgebra

Since k obeys the size bound with A1=1 and f=1B(0,1)∈L1∩L2, [F2] applies, and polar coordinates [F1] give, for every 0<ε<1, Tεf(0)=∫ε<∣y∣<1∣y∣−n dy=∫ε1r−n∣Sn−1∣rn−1 dr=∣Sn−1∣∫ε1drr=∣Sn−1∣log⁡1ε, with ∣Sn−1∣>0; the doubly truncated integral likewise equals ∣Sn−1∣log⁡(min⁡{1,N}/ε) for 0<ε<min⁡{1,N}, and it vanishes if ε≥1; fixing N=2 and sending ε↓0 proves T∗∗f(0)=+∞.

2.1step 1.1algebra

Consequently lim⁡ε↓0Tεf(0)=+∞: the symmetric truncations do not converge at the origin, and the maximal truncated operator is infinite there, although every individual truncation is finite.

3.1F1F2F3step 2.1algebra∎

No principal-value distribution for k exists along any sequence δj↓0. Indeed, take the nonnegative Schwartz test φ(x)=e−∣x∣2, with φ(0)=1; by continuity of φ there is ρ>0 with φ≥φ(0)/2 on B(0,ρ), so for every δ∈(0,ρ) polar coordinates give ∫∣x∣≥δk(x)φ(x) dx≥∫δ<∣x∣<ρ∣x∣−nφ(0)2 dx=φ(0)2∣Sn−1∣log⁡ρδ, which tends to +∞ as δ↓0; hence the limit in [F3] fails for this φ and every sequence δj↓0. Together with step 2.1 and [F2] this shows that the pointwise size condition by itself yields neither a principal-value distribution nor a finite maximal truncated operator, so principal-value cancellation is an additional requirement. In fact k also satisfies Hörmander's condition: ∣∇k(z)∣=n∣z∣−n−1 gives ∣k(x−y)−k(x)∣≤n2n+1∣y∣∣x∣−n−1 on ∣x∣≥2∣y∣, whose integral is bounded uniformly in y by polar coordinates. Thus these kernel bounds alone do not assert a principal value or an associated L2-bounded operator.

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Newtonian Hessian kernels fit the Calderón–Zygmund framework

Example

Assume Countable Choice. Let n≥3 and let Γ be the Newtonian potential normalised by −ΔΓ=δ0, and write σn−1:=∣Sn−1∣. The distributional Hessian satisfies ∂ijΓ=p.v. ∂ijΓ−(δij/n)δ0, where the singular part is the principal value of the function kij(x)=∂ijΓ(x)=σn−1−1(nxixj∣x∣−n−2−δij∣x∣−n) on Rn∖{0}, which is smooth and homogeneous of degree −n with ∣kij(x)∣≤(1+n)σn−1−1∣x∣−n, first differences at most 2n+1Cn∣y∣∣x∣−n−1 on ∣x∣≥2∣y∣>0, and zero spherical mean. Hence the singular part of the second derivatives of the Newtonian potential is a standard Calderón–Zygmund kernel after the local delta term is removed, and its principal-value operator is L2-bounded with symbol −ξiξj/∣ξ∣2+δij/n.

Facts & Assumptions

Given: Countable Choice; n≥3; the Newtonian potential Γ(x)=∣x∣2−n/((n−2)ωn−1) with ωn−1=∣Sn−1∣, satisfying −ΔΓ=δ0 distributionally; indices 1≤i,j≤n.

[F1]

For n≥3 the locally integrable Newtonian kernel is Γ(x)=∣x∣2−n/((n−2)ωn−1) off zero, where ωn−1=∣Sn−1∣. The distributional fundamental-solution and Hessian identities are derived below; they are not consequences of the definition alone. (Newtonian potential of compactly supported data, Fundamental solution for the positive operator minus Laplacian)

[F2]

Fourier differentiation satisfies F(∂αu)=(2πiξ)αFu. Polar integration uses the surface measure σ; it is orthogonally invariant and agrees with chart surface measure, with the radius-r sphere measure scaled by rn−1. The divergence theorem holds on bounded C1 domains, with the outward normal on each boundary component. (Fourier differentiation and multiplication identities on tempered distributions, Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, Agreement with the existing polar sphere measure, Divergence on a bounded C1 Euclidean domain)

[F3]

A measurable symbol M with ∥M∥∞<∞ defines a bounded L2 Fourier multiplier F2−1MF2 of norm ∥M∥∞; the Riesz transforms are the multipliers with symbols −iξj/∣ξ∣, so RiRj is the multiplier with symbol −ξiξj/∣ξ∣2 and ∥RiRj∥≤1 (Exact L2 Fourier multiplier norm, Riesz transforms on Euclidean space, Riesz transforms are L2 contractions and square to minus the identity in sum).

[F4]

A Calderón–Zygmund kernel has finite annular and Hörmander integral constants; a base kernel is standard δ-Hölder when it also satisfies the stated pointwise first-difference bound. A size bound ∣k∣≤c∣⋅∣−n gives the annular constant c∣Sn−1∣log⁡2 (Calderón–Zygmund kernels and their associated operators, Standard (Hölder) Calderón–Zygmund kernels). Polar coordinates give ∫∣x∣≥a∣x∣−n−1dx=∣Sn−1∣/a for a>0 (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F5]

A distribution supported at zero is a finite sum of Dirac derivatives, whose coefficients are unique. Fourier transformation converts convolution of a tempered distribution with a Schwartz function into the product of their Fourier transforms. The Hilbert adjoint uses the first-variable-linear pairing; Fubini holds for integrable complex product kernels, and locally integrable distribution pairings determine the class. (Distributions supported at one point, Fourier transform converts allowed tempered convolutions to products, The Hilbert-space adjoint of a bounded operator, Fubini's theorem for L^1 functions on a sigma-finite product, Locally integrable functions embed in distributions)

Verification

technique · direct
1.1F1givenalgebra

Differentiating Γ(x)=∣x∣2−n/((n−2)ωn−1) twice off the origin gives kij(x)=∂ijΓ(x)=ωn−1−1(nxixj∣x∣−n−2−δij∣x∣−n) for x≠0: the first derivative is (2−n)(n−2)−1ωn−1−1xi∣x∣−n=−ωn−1−1xi∣x∣−n, and differentiating once more with ∂j(xi∣x∣−n)=δij∣x∣−n−nxixj∣x∣−n−2 gives the displayed expression. This function is smooth on Rn∖{0} and homogeneous of degree −n.

2.1step 1.1givenalgebra

Size and gradient bounds: ∣kij(x)∣≤ωn−1−1(n∣xixj∣∣x∣−n−2+∣x∣−n)≤(1+n)ωn−1−1∣x∣−n by ∣xixj∣≤∣x∣2; and since kij is C∞ off the origin and homogeneous of degree −n, each partial derivative is homogeneous of degree −n−1, continuous on the compact unit sphere, and therefore satisfies ∣∇kij(x)∣≤Cn∣x∣−n−1 for all x≠0 with Cn:=nsup⁡∣z∣=1∣∇kij(z)∣<∞.

2.2F2step 1.1algebra

The spherical mean vanishes: for r>0, substituting x=rω and using the homogeneity, ∫Sn−1kij(rω) dσn−1(ω)=r−nωn−1−1∫Sn−1(nωiωj−δij) dσn−1(ω). The surface measure is invariant under coordinate permutations and under the sign change ωi↦−ωi, so ∫Sn−1ωiωj dσ=0 for i≠j and all n integrals ∫ωi2 dσ are equal to ωn−1/n since their sum is ∫∣ω∣2dσ=ωn−1; hence ∫(nωiωj−δij)dσ=nδijωn−1/n−δijωn−1=0, and the spherical mean of kij vanishes.

3.1F1F2step 1.1step 2.1step 2.2algebra

Principal value and the local delta term. By step 2.2, ∫ε<∣x∣<1kij(x) dx=0. Thus for every Schwartz test φ, the limit ⟨Vij,φ⟩=lim⁡ε↓0∫∣x∣>εkij(x)φ(x) dx exists: near zero subtract φ(0), giving a majorant C∣x∣1−nsup⁡∣z∣≤1∣∇φ(z)∣, and the tail is integrable by Schwartz decay. These bounds also prove Vij∈S′. Integration by parts on {ε<∣x∣<R} using [F2] first shows ∂iΓ is the regular distribution of −ωn−1−1xi∣x∣−n: the inner boundary term from Γ is O(ε), and outer terms vanish as R→∞. Applying integration by parts once more gives ⟨∂ijΓ,φ⟩=lim⁡ε↓0[∫∣x∣>εkijφ−ωn−1−1∫Sn−1ωiωjφ(εω) dσ]. The inward normal of the exterior region at radius ε is −ω, which fixes the minus sign. Step 2.2 evaluates the boundary limit as δijφ(0)/n. Hence ∂ijΓ=Vij−(δij/n)δ0; summing the diagonal identities, whose off-origin kernels have zero trace, proves −ΔΓ=δ0.

3.2F4step 1.1step 2.1algebra

For ∣x∣≥2∣y∣>0, the segment from x−y to x stays in {∣z∣≥∣x∣/2}. The mean value theorem and step 2.1 give ∣kij(x−y)−kij(x)∣≤2n+1Cn∣y∣∣x∣−n−1. For every y≠0, [F4] therefore gives ∫∣x∣≥2∣y∣∣kij(x−y)−kij(x)∣dx≤2n+1Cn∣y∣ ωn−1/(2∣y∣)=2nCnωn−1. The size bound gives annular constant (1+n)log⁡2, and step 1.1 supplies smoothness off zero. Thus kij is a base Calderón–Zygmund kernel; its first-difference bound then makes it standard 1-Hölder with constant A2′=2n+1Cn.

4.1F2F5step 3.1algebra

There is no frequency-zero ambiguity. The locally integrable kernel Γ, bounded at infinity, defines a tempered distribution. From step 3.1, 4π2∣ξ∣2FΓ=1, so FΓ agrees off zero with a(ξ)=(4π2∣ξ∣2)−1. Since n≥3, a is locally integrable even at zero and tempered. Set U=FΓ−ua; multiplication by ∣ξ∣2 annihilates U, so it is supported at zero. Homogeneity of Γ and change of variables in its pairing give ⟨FΓ,φ(⋅/λ)⟩=λn−2⟨FΓ,φ⟩ for λ>0: the Fourier transform of φ(⋅/λ) is λnφ^(λ⋅). The same scaling holds for ua and hence U. By [F5], U=∑cα∂αδ0, while each summand pairs with φ(⋅/λ) as λ−∣α∣∂αδ0(φ). Uniqueness of the coefficients gives cα(λ−∣α∣−λn−2)=0 for every λ>0. Taking λ=2 and n≥3 forces all coefficients to vanish, so FΓ=ua.

5.1F2F3F5step 3.1step 4.1algebra

By [F2] and step 4.1, F(∂ijΓ)=u−ξiξj/∣ξ∣2. Step 3.1 therefore gives FVij=u−ξiξj/∣ξ∣2+δij/n. This bounded real symbol is that of RiRj+(δij/n)I, so [F3,F5] identify Vij∗f on Schwartz functions with an L2 multiplier of norm at most 1+1/n.

6.1F3F5step 2.1step 3.1step 5.1algebra

The multiplier T=RiRj+(δij/n)I is a Calderón–Zygmund operator with this kernel. Its symbol is real, so Plancherel's pairing gives T∗=T. For compactly supported f∈L2 and a smooth compactly supported test φ supported away from supp⁡f, [F5] and step 5.1 give ⟨Tf,φ⟩=⟨f,Tφ⟩. On the support of f, Tφ=Vij∗φ is the ordinary off-support kernel integral. The kernel is real and even, so Fubini yields ⟨Tf,φ⟩=∫[∫kij(x−y)f(y) dy]φ(x)‾ dx. Positive separation and the size bound make this double integral absolutely convergent. The kernel integral is locally integrable off the support, so injectivity of the distribution pairing proves the required almost-everywhere off-support representation.

7.1step 1.1step 2.1step 2.2step 3.1step 4.1step 5.1step 3.2step 6.1∎

The preceding steps prove the kernel estimates, principal-value distribution, local delta correction, Fourier symbol, boundedness and off-support operator representation. This proves the example.

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