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Strong fractional integration fails at p equal to one

Statement refuted

Assume the Axiom of Countable Choice. Let n≥1, 0<α<n and put q0:=n/(n−α). For every ϵ>0 the normalized ball function fϵ:=1B(0,ϵ)λ(B(0,ϵ)) has ∥fϵ∥1=1 and is an approximate point mass as ϵ→0+; its Riesz potential of Riesz potential of order alpha satisfies Iαfϵ(x)≥Cn,α∣x∣α−n for every ∣x∣>2ϵ with Cn,α=(3/2)α−n>0, and consequently Iαfϵ∉Lq0(Rn). Thus the strong L1→Lq0 endpoint estimate is false: no constant C can satisfy ∥Iαf∥q0≤C∥f∥1 for all f∈L1(Rn;C).

Fix ϵ>0. The normalized ball density fϵ is nonnegative and measurable, supported on the ball B(0,ϵ), which has positive finite measure; its integral is one. For x with ∣x∣>2ϵ and y∈B(0,ϵ) one has ∣x−y∣≤∣x∣+∣ϵ∣⋅1<3∣x∣/2, and since the kernel exponent α−n is negative, ∣x−y∣α−n≥(3∣x∣/2)α−n. Integrating this lower bound against the probability density fϵ gives the claimed pointwise lower bound. Raising it to the power q0=n/(n−α) turns the radial factor into ∣x∣−n, and the polar decomposition of Lebesgue measure shows that ∫∣x∣>2ϵ∣x∣−ndx=σ(Sn−1)∫2ϵ∞r−1dr=+∞; hence Iαfϵ has infinite Lq0 norm. The approximate-point-mass clause is the standard normalized-ball computation against continuous compactly supported tests.

Facts & Assumptions

Given: Countable Choice, n≥1, 0<α<n, q0=n/(n−α), and an arbitrary ϵ>0.

[F1]

The unit Riesz potential is Iαf(x)=∫Kα(x−y)f(y) dy, with Kα(z)=∣z∣α−n for z≠0, at every point where the absolute integral is finite. (Riesz potential of order alpha)

[F2]

Complex Lp classes for finite p, the modulus and its powers, the conventions for complex Cc(Rn) and Cc∞(Rn), and the componentwise complex integral. (Complex Lp classes and Euclidean test-function conventions)

[F3]

Every Euclidean ball B(0,ϵ) is Lebesgue measurable with 0<λ(B(0,ϵ))<∞. (Euclidean balls have positive finite Lebesgue measure)

[F4]

Under Countable Choice, polar coordinates give ∫Rnh dλn=∫0∞∫Sn−1h(rω)rn−1 dσ(ω) dr for every nonnegative Borel h, with σ a finite Borel measure on the unit sphere. (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma)

[F5]

Every half-open interval [a,b)⊂R is Lebesgue measurable with measure b−a. The nonnegative Lebesgue integral agrees with the simple integral, so ∫c1[a,b)=c(b−a) for c≥0. (A box in Rn with parameters ai≤bi is Lebesgue measurable of measure ∏i<n(bi−ai), whichever of its faces are included, The nonnegative integral agrees with the simple integral on simple functions, The integral of a nonnegative simple function)

[F6]

The integral over a measurable set is the integral of the product with its indicator; the nonnegative Lebesgue integral is monotone, homogeneous for nonnegative scalars, and additive. (Integral over a measurable subset, Monotonicity and nonnegative homogeneity of the nonnegative integral, Additivity of the nonnegative Lebesgue integral)

[F7]

For integrable complex functions the integral is linear and satisfies ∣∫g dμ∣≤∫∣g∣ dμ. (The Lebesgue integral is linear on L1(μ), The modulus of an integral is bounded by the integral of the modulus)

[F8]

Countable Choice is the choice principle assumed by the polar and measure interfaces used here. (The Axiom of Countable Choice (ACω))

Counterexample

technique · direct; compute the normalized ball density and the exact radial lower bound for its potential, then integrate the resulting power over the far tail
1.1F2F3F6algebra

The density and its norm. By [F3] the ball B(0,ϵ) is measurable with 0<λ(B(0,ϵ))<∞, so fϵ=λ(B(0,ϵ))−11B(0,ϵ) is a well-defined nonnegative measurable function with ∣fϵ∣1 integrable and ∫Rnfϵ dλ=λ(B(0,ϵ))λ(B(0,ϵ))=1; in particular ∥fϵ∥1=1 and fϵ∈L1(Rn;C).

1.2F1F2F6algebra

The pointwise lower bound. Fix x with ∣x∣>2ϵ. For every y∈B(0,ϵ) the triangle inequality for the Euclidean norm gives ∣x−y∣≤∣x∣+∣y∣<∣x∣+ϵ<3∣x∣/2; since α−n<0, raising the positive numbers to the negative power reverses the inequality and Kα(x−y)=∣x−y∣α−n≥(3∣x∣2)α−n=(32)α−n∣x∣α−n. As fϵ≥0 and ∫fϵ=1, monotonicity and the scalar rule of [F6] applied to the definition [F1] give Iαfϵ(x)=∫Kα(x−y)fϵ(y) dy≥(32)α−n∣x∣α−n∫fϵ=(32)α−n∣x∣α−n, the pointwise absolute convergence being a consequence of the same finite upper bound since Kα(x−y)≤(∣x∣−ϵ)α−n on the support for the upper estimate.

1.3F3F4F5F6algebra

Computation of the tail. The function x↦∣x∣−n1{∣x∣>2ϵ} is nonnegative and Borel, so polar coordinates [F4] give ∫E∣x∣−n dλn(x)=σ(Sn−1)∫2ϵ∞r−1 dλ1(r). To see that the radial Lebesgue integral is infinite, set a=2ϵ and Jj=[2ja,2j+1a) for j≥0. These disjoint intervals partition [a,∞); on Jj, r−1≥(2j+1a)−1 and λ1(Jj)=2ja by [F5]. Thus each ∫Jjr−1 dλ1≥1/2, using [F5] and [F6]. Finite additivity and monotonicity imply ∫a∞r−1 dλ1≥N/2 for every positive integer N, so it is infinite. Finally 0<σ(Sn−1)<∞: applying [F4] to 1B(0,1) gives λ(B(0,1))=σ(Sn−1)/n, and [F3] makes the ball measure positive and finite. Hence ∫E∣x∣−n dλn(x)=+∞.

2.1F2F6step 1.2algebra

The far tail diverges. Since q0=n/(n−α) we have (α−n)q0=−n, so on the measurable set E:={∣x∣>2ϵ} the lower bound of step 1.2 gives ∣Iαfϵ(x)∣q0≥(32)(α−n)q0∣x∣(α−n)q0=(32)−n∣x∣−n. If Iαfϵ belonged to Lq0, then applicability of [F6] to the nonnegative functions ∣Iαfϵ∣q01E and ∣x∣−n1E would give ∫E∣x∣−ndx≤(32)n∫E∣Iαfϵ∣q0≤(32)n∥Iαfϵ∥q0q0<∞.

2.2F2F6F7step 1.1algebra

Approximate point mass. Let φ∈Cc(Rn;C) be continuous and compactly supported, and fix η>0. Continuity of φ at the origin gives δ>0 with ∣φ(y)−φ(0)∣<η whenever ∣y∣<δ. For every 0<ϵ<δ linearity of the integral [F7] together with the normalization ∫fϵ=1 gives ∫φfϵ dλ−φ(0)=∫B(0,ϵ)(φ(y)−φ(0))fϵ(y) dy, and the triangle inequality [F7] and monotonicity of the nonnegative integral [F6] bound its modulus by η∫fϵ=η. Hence ∫φfϵ→φ(0) as ϵ→0+: the normalized balls converge to the point mass at the origin against continuous compactly supported tests.

3.1step 1.1step 2.1step 1.3

No strong endpoint estimate. Steps 2.1 and 1.3 are contradictory: if Iαfϵ∈Lq0 then ∫E∣x∣−ndx<∞, but that integral equals +∞. Hence Iαfϵ∉Lq0(Rn) for every ϵ>0. Since ∥fϵ∥1=1 by step 1.1, no constant C satisfies ∥Iαf∥q0≤C∥f∥1 for all f in L1(Rn;C): the family {fϵ}ϵ>0 alone refutes the estimate.

4.1F8step 1.1step 3.1step 2.2∎

Conclusion. The normalized ball density fϵ has unit L1 norm, is an approximate point mass, and its potential has the radial lower bound (32)α−n∣x∣α−n outside B(0,2ϵ), whose q0-th power is a nonzero multiple of the divergent tail ∣x∣−n; therefore the strong L1→Lq0 endpoint fails. The argument exhibits the failure at fixed ϵ without any limit or Fatou step, and no endpoint case is silently substituted into the strict-range theorem. Countable Choice is used only through the polar and measure interfaces [F3]-[F5] and [F8].

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