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Strong fractional integration fails at p equal to one
Statement refuted
Assume the Axiom of Countable Choice. Let , and put . For every the normalized ball function has and is an approximate point mass as ; its Riesz potential of Riesz potential of order alpha satisfies for every with , and consequently . Thus the strong endpoint estimate is false: no constant can satisfy for all .
Fix . The normalized ball density is nonnegative and measurable, supported on the ball , which has positive finite measure; its integral is one. For with and one has , and since the kernel exponent is negative, . Integrating this lower bound against the probability density gives the claimed pointwise lower bound. Raising it to the power turns the radial factor into , and the polar decomposition of Lebesgue measure shows that ; hence has infinite norm. The approximate-point-mass clause is the standard normalized-ball computation against continuous compactly supported tests.
Facts & Assumptions
Given: Countable Choice, , , , and an arbitrary .
The unit Riesz potential is , with for , at every point where the absolute integral is finite. (Riesz potential of order alpha)
Complex classes for finite , the modulus and its powers, the conventions for complex and , and the componentwise complex integral. (Complex Lp classes and Euclidean test-function conventions)
Every Euclidean ball is Lebesgue measurable with . (Euclidean balls have positive finite Lebesgue measure)
Under Countable Choice, polar coordinates give for every nonnegative Borel , with a finite Borel measure on the unit sphere. (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma)
Every half-open interval is Lebesgue measurable with measure . The nonnegative Lebesgue integral agrees with the simple integral, so for . (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, The nonnegative integral agrees with the simple integral on simple functions, The integral of a nonnegative simple function)
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)
For integrable complex functions the integral is linear and satisfies . (The Lebesgue integral is linear on , The modulus of an integral is bounded by the integral of the modulus)
Countable Choice is the choice principle assumed by the polar and measure interfaces used here. (The Axiom of Countable Choice ())
Counterexample
The density and its norm. By [F3] the ball is measurable with , so is a well-defined nonnegative measurable function with integrable and in particular and .
The pointwise lower bound. Fix with . For every the triangle inequality for the Euclidean norm gives ; since , raising the positive numbers to the negative power reverses the inequality and As and , monotonicity and the scalar rule of [F6] applied to the definition [F1] give the pointwise absolute convergence being a consequence of the same finite upper bound since on the support for the upper estimate.
Computation of the tail. The function is nonnegative and Borel, so polar coordinates [F4] give To see that the radial Lebesgue integral is infinite, set and for . These disjoint intervals partition ; on , and by [F5]. Thus each , using [F5] and [F6]. Finite additivity and monotonicity imply for every positive integer , so it is infinite. Finally : applying [F4] to gives , and [F3] makes the ball measure positive and finite. Hence .
The far tail diverges. Since we have , so on the measurable set the lower bound of step 1.2 gives . If belonged to , then applicability of [F6] to the nonnegative functions and would give
Approximate point mass. Let be continuous and compactly supported, and fix . Continuity of at the origin gives with whenever . For every linearity of the integral [F7] together with the normalization gives and the triangle inequality [F7] and monotonicity of the nonnegative integral [F6] bound its modulus by . Hence as : the normalized balls converge to the point mass at the origin against continuous compactly supported tests.
No strong endpoint estimate. Steps 2.1 and 1.3 are contradictory: if then , but that integral equals . Hence for every . Since by step 1.1, no constant satisfies for all in : the family alone refutes the estimate.
Conclusion. The normalized ball density has unit norm, is an approximate point mass, and its potential has the radial lower bound outside , whose -th power is a nonzero multiple of the divergent tail ; therefore the strong endpoint fails. The argument exhibits the failure at fixed 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].
Depends on
- Riesz potential of order alpha
- Complex Lp classes and Euclidean test-function conventions
- Euclidean balls have positive finite Lebesgue measure
- Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- The nonnegative integral agrees with the simple integral on simple functions
- The integral of a nonnegative simple function
- Integral over a measurable subset
- Additivity of the nonnegative Lebesgue integral
- Monotonicity and nonnegative homogeneity of the nonnegative integral
- The modulus of an integral is bounded by the integral of the modulus
- The Lebesgue integral is linear on $L^1(\mu)$
Used by
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Sources
- Eleonor Harboure, Spaces of Smooth Functions, Theorem 3 and following remark, printed p. 5 (standard reference, not scraped)
- Larry Guth, Hardy–Littlewood–Sobolev Inequality, Proposition 0.1, printed p. 1 (standard reference, not scraped)