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Near and far bounds for a Riesz potential

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let n≥1, 0<α<n, 1<p<n/α, and let f be an element of the complex Lebesgue space Lp(Rn;C) (Complex Lp classes and Euclidean test-function conventions). Every measurable representative of f is locally integrable (A locally integrable function on Rn).

At every x with Mf(x)<∞, where M is the centered Hardy-Littlewood maximal operator (The centered and uncentered Hardy-Littlewood maximal functions), and for every R>0, the two absolute integrals NR(x):=∫∣x−y∣<R∣x−y∣α−n∣f(y)∣ dy,FR(x):=∫∣x−y∣≥R∣x−y∣α−n∣f(y)∣ dy are finite and satisfy NR(x)≤Cn,αRαMf(x),FR(x)≤Cn,α,pRα−n/p∥f∥p. The far bound holds at every x∈Rn. Each convergent integral is independent of the measurable representative of the class f: if two representatives agree almost everywhere, then at every point x the integrals NR and FR coincide, and at every point where both are finite the total potential Iαf(x) of Riesz potential of order alpha is defined and likewise independent of the representative.

Facts & Assumptions

Given: Countable Choice, n≥1, 0<α<n, 1<p<n/α, and a class f∈Lp(Rn;C) with a fixed measurable representative, also written f.

[F1]

The unit-normalized Riesz potential is Iαf(x)=∫Kα(x−y)f(y) dy at exactly those points where ∫Kα(x−y)∣f(y)∣ dy<∞, with Kα(z)=∣z∣α−n for z≠0 and Kα(0)=0. (Riesz potential of order alpha)

[F2]

Complex Lp classes, the seminorm Np(g)=(∫∣g∣p)1/p, the set quotient by almost-everywhere equality, the convention that a complex function is measurable when its real and imaginary parts are, and the Euclidean conventions for Cc∞(Rn;C); local integrability means finite absolute integral over every Euclidean ball. (Complex Lp classes and Euclidean test-function conventions, A locally integrable function on Rn)

[F3]

Under Countable Choice the centered maximal function of a locally integrable f is Mf(x)=sup⁡r>0λ(B(x,r))−1∫B(x,r)∣f∣, with values in [0,∞]; every finite value bounds every ball average. (The centered and uncentered Hardy-Littlewood maximal functions)

[F4]

For conjugate exponents p,p′∈(1,∞) and measurable representatives g∈Lp(Rn;C), h∈Lp′(Rn;C), ∫∣gh∣≤∥g∥p∥h∥p′ and ∣∫gh∣≤∥g∥p∥h∥p′. (Complex Holder, Minkowski, and the quotient norm)

[F5]

Every ball B(x,r) is Lebesgue measurable with 0<λ(B(x,r))<∞; every box between its open and closed forms is Lebesgue measurable with its usual volume; Lebesgue measure is monotone on measurable sets. (Euclidean balls have positive finite Lebesgue measure, 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)

[F6]

Under Countable Choice a C1 diffeomorphism T:U→V satisfies ∫Vh dλn=∫Uh∘T ∣det⁡DT∣ dλn for every nonnegative Lebesgue measurable h; an affine map y↦y−x is a C1 diffeomorphism of Rn with derivative the identity, whose determinant is 1. (A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions, Ck Euclidean maps and diffeomorphisms, The determinant of a triangular matrix is the product of its diagonal entries)

[F7]

Under Countable Choice, polar coordinates express the integral of a nonnegative Borel function h on Rn as ∫0∞∫Sn−1h(rω)rn−1 dσ(ω) dr with σ a finite Borel measure on Sn−1. (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma)

[F8]

Continuous maps on Euclidean space are Borel measurable; the composition of a measurable map with a Borel measurable function of its codomain is measurable; sums, products, scalar multiples and absolute values of measurable real functions are measurable; every Borel subset of Rn is Lebesgue measurable under Countable Choice, so a Borel measurable function into [0,∞] is Lebesgue measurable. (Continuous functions on Euclidean spaces are Borel measurable, Composition with a Borel measurable outer map preserves measurability, Arithmetic and lattice operations preserve measurability whenever they are defined, Assuming countable choice, every Borel subset of Rn is Lebesgue measurable, Borel measurable and Lebesgue measurable functions on Rn)

[F9]

For nonnegative measurable functions the Lebesgue integral is additive, monotone, homogeneous for nonnegative scalars, and computes the integral of an increasing pointwise limit as the limit of the integrals; the integral of the zero function is zero. (Additivity of the nonnegative Lebesgue integral, Monotone convergence for the integral, Monotonicity and nonnegative homogeneity of the nonnegative integral)

[F10]

A nonnegative measurable function has integral zero if and only if it vanishes almost everywhere; two integrable real or complex functions that agree almost everywhere have equal integrals over every measurable set. (A nonnegative measurable function has integral 0 exactly when it vanishes almost everywhere, Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree)

[F11]

Countable Choice says that every sequence of nonempty sets has a choice function; it is the choice principle assumed by the maximal-function, polar, change-of-variables and measurability interfaces used below, and no other choice principle is invoked. (The Axiom of Countable Choice (ACω))

[F12]

B(x,r)={y:∥y−x∥2<r} and ∥v∥22=∑ivi2, so ∥v∥2<r forces ∣vi∣<r for every coordinate; the published Euclidean metric is induced by this norm. (Open ball, closed ball and sphere in a metric space, The p-norms ∥x∥p for rational p≥1, and ∥x∥∞, Each ∥⋅∥p is a norm on Rn, and the induced metrics are exactly d1, d2 and d∞ of the published metric-spaces page)

Proof

technique · direct; split the kernel integral at $R$, bound the near part by the maximal function on dyadic shells and the far part by Hölder after translating, then transfer to representatives
1.1F2F3F4F5given

Local integrability. Let f be a measurable representative of the class with Np(f)=∥f∥p<∞, and let B(x,r) be any Euclidean ball. By [F4] with the conjugate pair p,p′, whose second exponent is finite because p>1, ∫B(x,r)∣f∣≤∥f⋅1B(x,r)∥p∥1B(x,r)∥p′≤∥f∥p λ(B(x,r))1/p′<∞, the last inequality using λ(B(x,r))<∞ from [F5]. Hence every measurable representative is locally integrable, and [F3] defines Mf(x)∈[0,∞] at every x.

1.2F3F5F12algebra

Ball bounds. For every x and r>0, the inclusion B(x,r)⊆x+(−r,r)n holds by [F12], and the open cube is Lebesgue measurable with measure (2r)n by [F5]; monotonicity in [F5] gives λ(B(x,r))≤(2r)n. Combining with the averaging inequality of [F3], for every r>0, ∫B(x,r)∣f∣≤λ(B(x,r)) Mf(x),λ(B(x,r))−1∫B(x,r)∣f∣≤Mf(x).

1.3F2F8

Measurability of the integrands. Fix x. The map y↦x−y is continuous, hence Borel measurable, and Kα is Borel measurable because it is continuous off the origin and takes the finite value 0 there; by the composition clause of [F8] the map y↦Kα(x−y) is Borel measurable, hence Lebesgue measurable by the Borel-containment clause of [F8]. The modulus ∣f∣ and the components of f are measurable by [F2], so the product clause of [F8] makes y↦Kα(x−y)∣f(y)∣ and each component of y↦Kα(x−y)f(y) Lebesgue measurable.

1.4F6F7F8givenalgebra

Far kernel integral. Fix x and R>0, and define hR(z):=∣z∣(α−n)p′1{∣z∣≥R}. The function z↦∣z∣ is continuous and t↦t(α−n)p′1{t≥R} is Borel, so hR is Borel, nonnegative and hence Lebesgue measurable by [F8]. The affine map T(y):=y−x has T(T−1) equal to the identity with inverse y↦y+x, identity derivative and determinant 1, so it is a C1 diffeomorphism of Rn by [F6]; applying the change-of-variables formula of [F6] to hR gives ∫Rn∣y−x∣(α−n)p′1{∣y−x∣≥R} dy=∫RnhR(z) dz. The right-hand integral is radial and hR is Borel, so the polar formula [F7] computes it as σ(Sn−1)∫R∞r(α−n)p′+n−1 dr=σ(Sn−1)R(α−n)p′+n(n−α)p′−n, where the antiderivative is evaluated at the convergent upper end because the exponent (α−n)p′+n−1<−1; that inequality is equivalent to (n−α)p′>n, which in turn is equivalent to p<n/α, the hypothesis.

2.1F1F3F5F9step 1.2step 1.3algebra

Near shell estimate. Fix x with Mf(x)<∞ and R>0. For j≥0 put Sj:={ y:2−j−1R≤∣x−y∣<2−jR }. The sets Sj are pairwise disjoint Lebesgue measurable sets with union B(x,R)∖{x}: a point y lies in exactly one shell according to the dyadic size of ∣x−y∣∈(0,R), and the excluded point is exactly x. On Sj one has ∣x−y∣<2−jR, so the ball B(x,2−jR) contains Sj, and since α−n<0 reverses the inequality at the positive lower endpoint 2−j−1R≤∣x−y∣, Kα(x−y)=∣x−y∣α−n≤(2−j−1R)α−n(y∈Sj). Therefore, by monotonicity and the averaging bound of step 1.2, ∫SjKα(x−y)∣f(y)∣ dy≤(2−j−1R)α−n∫B(x,2−jR)∣f∣≤(2−j−1R)α−n(2⋅2−jR)nMf(x)=2 2n−αRα2−jαMf(x).

2.2F4step 1.4givenalgebra

Far bound. The p′-th root of the value in step 1.4 is C′Rα−n/p,C′:=σ(Sn−1)1/p′((n−α)p′−n)−1/p′, using (α−n)p′+n=(α−n+n/p′)p′ and α−n+n/p′=α−n/p; the constant C′ is finite and positive because σ(Sn−1) is finite by [F7] and (n−α)p′−n>0. Hence FR(x)=∫Rn∣y−x∣α−n1{∣y−x∣≥R}∣f(y)∣ dy≤(∫Rn(∣y−x∣α−n1{∣y−x∣≥R})p′dy)1/p′∥f∥p≤C′Rα−n/p∥f∥p<∞, where the first inequality is Hölder [F4] applied to the pair ∣f∣ and the radial weight, and the weight's exact Lp′ norm is the quantity computed in step 1.4. The estimate uses no hypothesis on Mf(x), so it holds at every x and every R>0, and in particular proves finiteness of FR(x) everywhere.

2.3F9F10step 1.3

Representative independence of the absolute integrals. Let f and g be measurable representatives of the same class, so that f=g almost everywhere, and fix x. The two nonnegative measurable integrands hf:=Kα(x−⋅)∣f∣ and hg:=Kα(x−⋅)∣g∣ of step 1.3 are equal off the null set {f≠g}; hence ∣hf−hg∣=0 almost everywhere and [F10] gives ∫∣hf−hg∣=0. Since hf≤hg+∣hf−hg∣ and hg≤hf+∣hf−hg∣ pointwise, additivity and monotonicity in [F9] give ∫hf≤∫hg+0,∫hg≤∫hf+0, so the two extended nonnegative integrals are equal; in particular one is finite if and only if the other is. Applying this to the restrictions {∣x−y∣<R} and {∣x−y∣≥R} (each restriction has the same form with the additional indicator) shows that NR(x) and FR(x) are independent of the representative, as functions of x.

3.1F1F9step 2.1algebra

Near bound and finiteness. Since Kα(0)=0 by [F1], the integrand Kα(x−⋅)∣f∣⋅1{x} vanishes identically, so the pointwise identity Kα(x−y)∣f(y)∣ 1B(x,R)(y)=∑j≥0Kα(x−y)∣f(y)∣ 1Sj(y) holds; the partial sums increase to the left-hand side, so [F9] (additivity followed by monotone convergence) gives NR(x)=∫B(x,R)Kα(x−⋅)∣f∣=∑j≥0∫SjKα(x−⋅)∣f∣≤2 2n−αRαMf(x)∑j≥02−jα=2 2n−α1−2−α RαMf(x)<∞, because α>0 makes the geometric series converge and Mf(x)<∞. This proves the near bound and the finiteness of NR(x) with Cn,α=22n−α/(1−2−α), a constant depending only on n and α.

3.2F1F9F10step 2.3

Representative independence of the complex integrals and of the potential. Keep the notation of step 2.3 and suppose now that the common absolute integral is finite at x. Then the complex functions Kα(x−⋅)f and Kα(x−⋅)g are both integrable, and they agree almost everywhere, so [F10] applied to their real and imaginary parts gives ∫Kα(x−⋅)f=∫Kα(x−⋅)g. Consequently the convergence set of the defining integral and its value at every convergent point depend only on the class f, and if NR(x) and FR(x) are both finite, then additivity in [F9] applied on the complementary measurable sets B(x,R) and its complement gives ∫Kα(x−⋅)∣f∣=NR(x)+FR(x)<∞, so Iαf(x) is defined by [F1] and is representative-independent.

4.1F11step 1.1step 3.1step 2.2step 2.3step 3.2∎

Conclusion. The local-integrability assertion is step 1.1; the finiteness and the bound for NR are step 3.1; the finiteness and the bound for FR at every point are step 2.2; and representative independence of the convergent integrals and of the total potential is steps 2.3 and 3.2. Countable Choice is used exactly through the maximal-function interface [F3], the ball, box, change-of-variables and polar interfaces [F5]-[F7], the measurability interfaces [F8] and the integral-lattice facts [F9]-[F10], all of which are stated under Countable Choice; no full Axiom of Choice is used. No estimate is asserted at a point with Mf(x)=∞, and no endpoint case p=1 or p=n/α is claimed.

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