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A Dirac mass has precisely sufficiently negative Sobolev order

Statement

Assume Countable Choice and let n≥1. Let δ0∈S′(Rn) be the Dirac mass at the origin and let Hs=Hs(Rn) be the real-order Bessel-potential completion, identified with its canonical image in S′(Rn) under Es (Real-order H^s as weighted Fourier distributions). Then δ0∈Hs⟺s<−n2. Equivalently the threshold is 2s+n<0; at the strict endpoint s=−n/2 the membership fails, and the radial integrand decays like 1/r, so the failure is a logarithmic divergence. Membership is read through the weighted Fourier characterization: δ0∈Hs means that ⟨ξ⟩sFδ0 is the regular distribution of an L2 class g, the class is unique, and then ∥δ0∥Hs=∥g∥2. No pointwise-function assumption is made on δ0 or on any representative of g.

Facts & Assumptions

Given: Countable Choice, n≥1, the Dirac mass δ0, and the Japanese bracket ⟨ξ⟩=(1+∣ξ∣2)1/2.

[A1]

Countable Choice permits one selection from each nonempty set in a countable family (The Axiom of Countable Choice (ACω)).

[F1]

In the negative-sign 2π normalization, Fδ0=u1, the regular distribution of the constant function 1; the Dirac mass is a tempered distribution and constants are regular tempered distributions (Fourier transform of delta constants plane waves and polynomials).

[F2]

For every s∈R, a tempered distribution u lies in Es[Hs] if and only if there is a unique g∈L2(Rn) with ⟨ξ⟩sFu=ug in S′(Rn), and then ∥u∥Hs=∥g∥2 (Real-order H^s as weighted Fourier distributions).

[F3]

A smooth symbol whose derivatives are all polynomially bounded acts on tempered distributions by ⟨au,φ⟩=⟨u,aφ⟩ (Smooth polynomially bounded multipliers on schwartz space). The bracket weight a=⟨ξ⟩s preserves Schwartz space (Real powers of the Japanese bracket act on Schwartz space). In the case u=u1 used below, ⟨au1,φ⟩=∫aφ by [F1], so au1=ua is a regular tempered distribution. On compact tests this is exactly the regular functional of Regular distribution from a locally integrable function.

[F4]

The regular-distribution map h↦uh is injective on Lloc1(Rn) modulo almost-everywhere equality (Locally integrable functions embed in distributions).

[F5]

Every L2 class is locally integrable: for compact K, ∫K∣h∣≤∣K∣1/2∥h∥2<∞ by Cauchy–Schwarz and finiteness of the measure of bounded sets (Complex completeness, density, and inner product: the consumer interface, Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure).

[F6]

Polar coordinates: for Borel measurable f:Rn→[0,∞], ∫Rnf dλn=∫0∞ ⁣ ⁣∫Sn−1f(rω) rn−1 dσ(ω) dr, where σ is the finite Borel measure on Sn−1 with σ(E)=nλn({rω:ω∈E, 0<r≤1}); its total mass satisfies 0<σ(Sn−1)=nλn({0<∣x∣≤1})<∞, because the set contains B(e1/2,1/4) (where e1 is the first coordinate unit vector) and is contained in B(0,2); these balls have positive finite measure (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, The polar surface set function on the unit sphere, Euclidean balls have positive finite Lebesgue measure).

[F7]

For a nonnegative locally Riemann-integrable φ, the tail integral ∫1∞φ:=sup⁡R>1∫1Rφ is finite exactly when the truncations are bounded, and changing a finite lower endpoint does not affect finiteness (A nonnegative improper integral converges iff its truncated integrals are bounded, Improper convergence is independent of finite truncations and split points).

[F8]

For a nonnegative series, convergence is equivalent to boundedness of its partial sums (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum); and for real p, ∑k≥11/kp converges exactly when p>1 (The p-series for a real exponent p converges exactly when p is greater than one).

[F10]

For R>0, ∫1Rdtt=log⁡R, and log⁡R→+∞ as R→+∞, so this integral diverges logarithmically (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t).

[F11]

For b>0 and real u, bu=exp⁡(ulog⁡b) (Real powers for positive bases, with the zero-base positive-exponent convention); the logarithm satisfies log⁡′(x)=1/x>0 on (0,∞) and is therefore strictly increasing (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t), and exp⁡ is strictly increasing (The exponential function is strictly increasing), so b↦bu is strictly increasing for u>0 and strictly decreasing for u<0; and bu+v=bubv, (b1b2)u=b1ub2u (The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).

[F12]

Every real number is exceeded by a natural number (Every complete ordered field is Archimedean).

[F13]

For a measurable g, g∈L2(Rn) exactly when ∫Rn∣g∣2<∞, and then ∥g∥22=∫∣g∣2 (Complex Lp classes and Euclidean test-function conventions).

[F14]

Bounded Riemann-integrable functions on compact intervals have equal Lebesgue and Riemann integrals (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral). For nonnegative measurable functions, monotone convergence identifies the integral with the increasing limit of its truncations (Monotone convergence for the integral).

Proof

technique · reduce the membership to the finiteness of a radial integral, bracket that integral between blocks of a real $p$-series, and read off the threshold and its strict endpoint
1.1F1

The Fourier transform of the Dirac mass. By [F1], Fδ0=u1 is the regular distribution of the constant function 1.

1.2F6F7F9F11F14given

The polar reduction. Apply [F6] to f(ξ)=⟨ξ⟩2s; since f(rω)=(1+r2)s is radial, the total mass of σ factors out: ∫Rn⟨ξ⟩2sdξ=σ(Sn−1)∫0∞φ(r) dr,φ(r):=(1+r2)srn−1, with σ(Sn−1)∈(0,∞). The function φ extends continuously to r=0, with value 1 if n=1 and 0 if n>1. By [F14], its Lebesgue integral on each compact interval equals its Riemann integral, and monotone convergence of φ1[0,N] identifies the full nonnegative Lebesgue integral with the supremum of these truncations, including when infinite. On 0<r≤1 one has (1+r2)s≤max⁡(1,2s) and rn−1≤1 by [F11], so ∫01φ≤max⁡(1,2s)<∞ by [F9]. Since ∫0Rφ=∫01φ+∫1Rφ for R>1 by additivity [F9], the integral over (0,∞) is finite if and only if the tail truncations ∫1Rφ are bounded, that is, if and only if the tail ∫1∞φ is finite in the sense of [F7].

1.3F11algebra

Block bounds. Put q:=2s+n−1 and write, by [F11], φ(r)=rq(1+r−2)s. For an integer k≥1 and r∈[k,k+1] one has 1+r−2∈[1,2], so (1+r−2)s∈[c1,c2] with c1=min⁡(1,2s)>0 and c2=max⁡(1,2s); moreover k+1≤2k for k≥1, so 2min⁡(q,0)≤rq/kq≤2max⁡(q,0), and with c3=c12min⁡(q,0), c4=c22max⁡(q,0), c3kq≤φ(r)≤c4kq,r∈[k,k+1],k≥1.

2.1F2F3F4F5F13step 1.1

The membership criterion. By [F2], δ0∈Hs if and only if there is g∈L2 with ⟨ξ⟩sFδ0=ug. By step 1.1 and [F3] applied to the smooth symbol a=⟨ξ⟩s and the locally integrable h=1, this product is ⟨ξ⟩su1=u⟨ξ⟩s. The condition is therefore u⟨ξ⟩s=ug for some g∈L2. Both ⟨ξ⟩s and g are locally integrable by continuity and [F5], so [F4] forces ⟨ξ⟩s=g almost everywhere; hence a qualifying g exists exactly when ⟨ξ⟩s∈L2(Rn), that is, by [F13], exactly when ∫Rn⟨ξ⟩2s dξ<∞, and then ∥δ0∥Hs=∥g∥2=∥⟨ξ⟩s∥2.

2.2F7F8F9F12step 1.3

The block comparison. For every integer N≥1, additivity and monotonicity of the integral [F9] applied to step 1.3 give c3∑k=1Nkq≤∫1N+1φ≤c4∑k=1Nkq. If ∑k≥1kq converges with value S, then for every R>1 [F12] supplies an integer N≥R, and monotonicity [F9] together with step 1.3 gives ∫1Rφ≤∫1N+1φ≤c4S, so the truncations are bounded and ∫1∞φ≤c4S<∞ by [F7]. Conversely, if ∫1∞φ<∞, then ∑k=1Nkq≤c3−1∫1N+1φ≤c3−1∫1∞φ for every N, so the partial sums are bounded and ∑k≥1kq converges by [F8].

3.1F8step 2.1step 1.2step 2.2

The threshold. By step 2.2, ∫1∞φ<∞ if and only if ∑k≥1kq=∑k≥11/k−q converges, which by [F8] happens exactly when −q>1, that is, exactly when 2s+n−1<−1, i.e. s<−n/2. Combining with steps 2.1 and 1.2, this gives δ0∈Hs⟺s<−n/2.

3.2F7F9F10F11step 2.1step 1.2

The strict endpoint. Let s=−n/2, so q=−1 and φ(r)=r−1(1+r−2)s≥c1r−1 for r≥1 by [F11]. Hence for every R>1, ∫1Rφ≥c1∫1Rdrr=c1log⁡R⟶+∞(R→∞) by [F9] and [F10]; the truncations are unbounded, so ∫1∞φ=∞ by [F7], and by steps 2.1 and 1.2, δ0∉H−n/2. The divergence is logarithmic: the truncated integral grows like log⁡R because the radial integrand behaves like 1/r.

4.1A1F1F2F3F4F5F6F7F8F9F10F11F12F13step 1.1step 2.1step 1.2step 1.3step 2.2step 3.1step 3.2∎

Conclusion. Step 3.1 proves the equivalence δ0∈Hs⟺s<−n/2 and exhibits the strict threshold 2s+n<0, while step 3.2 proves that the borderline case s=−n/2 fails by logarithmic divergence; step 2.1 identifies the exact norm with the L2 norm of the unique weighted Fourier class, and no pointwise-function assumption is used anywhere. Countable Choice is used exactly through the cited characterization, regular-distribution and polar-coordinate interfaces, which carry it as their hypothesis.

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