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Fourier Multipliers and Sobolev Characterisations

1 · Prerequisites

2 · Summary

This page develops translation-invariant Fourier multipliers and the Fourier characterisations of the Sobolev scale. It works with complex scalars, the negative-sign 2π-normalized Fourier transform, the unitary Plancherel transform F2, tempered distributions with bilinear test pairing, and the first-variable-linear complex inner product.

A measurable symbol first acts on its explicit Schwartz domain, where the frequency product is a regular tempered distribution; the domain-qualified operator is translation stable and commutes with translations. For essentially bounded symbols the Plancherel isometry gives the exact L2 operator norm, the essential supremum, and the Lp multiplier convention is recorded with the finite-p uniqueness caveat. Hausdorff–Young is proved at the two endpoints on the finite-simple core and interpolated for 1<p<2, both for periodic Fourier coefficients and for the Euclidean transform, and the Mihlin derivative-count convention is fixed without asserting its Lp conclusion.

The Sobolev half starts from the weak-derivative/Plancherel identity Dαu^(ξ)=(2πiξ)αu^(ξ) and compares the multinomial derivative weight with the Japanese bracket. This identifies the integer-order weak Sobolev space Wk,2 with the bracket completion Hk, with two-sided norm constants, and shows that the bracket-weighted, weak derivative and Laplacian-weighted norms are equivalent but not identical. The real-order theorem imports the batch-12 weighted tempered-distribution characterisation verbatim: Hs is exactly the set of tempered distributions whose bracket-weighted Fourier transform is a regular L2 distribution, with its defining norm and a unique L2 class, and no element is assumed to be a function.

The bracket operator ⟨D⟩t and the Laplacian Bessel potential (I−Δ)t/2 are then defined on tempered distributions by their symbols. Their frequency weights are comparable up to positive constants; for t≠0 their ratio is (1+4π2∣ξ∣21+∣ξ∣2)t/2, which differs from 1 at every nonzero frequency and tends to (2π)t at high frequency. ⟨D⟩t shifts the Sobolev order isometrically and surjectively, while (I−Δ)t/2 is only a bounded isomorphism with explicit two-sided constants and an explicit high-frequency witness against isometry for t≠0. The page also records the contractive inclusion Hs↪Hr for s≥r, the derivative bound ∥∂jU∥Hs≤2π∥U∥Hs+1, and the conjugate duality of Hs with H−s under the weighted L2 Fourier pairing.

Countable Choice is assumed on every item that consumes the completion, Plancherel, interpolation, Riesz or polar-coordinate interfaces, and is declared as a dependency there; the punctured-domain Mihlin symbol definition itself is choice-free. No Lp Mihlin theorem, no Hausdorff–Young inequality beyond p≤2, and no unproved Lp multiplier conclusion is asserted on this page.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-30Open item page →

Translation-invariant Fourier multiplier on the Schwartz core

Definition

Assume Countable Choice and let n≥1. The Fourier transform is the negative-sign 2π-normalized transform of Fourier transform of a tempered distribution: on a Schwartz function it is the integral transform f^(ξ)=∫Rnf(x)e−2πix⋅ξ dx, and on S′(Rn) it is its bilinear transpose, an automorphism with inverse F−1 (Fourier transform is a topological automorphism of tempered distributions).

Fix a measurable symbol m:Rn→C. Define its Schwartz domain Dm={f∈S(Rn):mf^ is locally integrable and its regular distribution is tempered}. Here mf^ is the ordinary pointwise product of the measurable symbol with the Schwartz function f^. For a locally integrable function g, its regular distribution initially means φ↦∫Rng(ξ)φ(ξ) dξ on Cc∞(Rn). Saying that this distribution is tempered means that this functional extends continuously to S(Rn). The extension is unique because Cc∞ is dense in S (Smooth compact supports are dense in Schwartz space); we denote it by ug. Local integrability alone does not guarantee an absolutely convergent integral against every Schwartz test. For f∈Dm the extension exists by hypothesis, and we set Tmf:=F−1(umf^)∈S′(Rn),Tm:S⊇Dm→S′. The domain qualification is part of the definition: no boundedness of Tm, no density of Dm in S, no continuity of m↦Tm and no action of Tm on Lp is asserted. In particular this definition does not assert that Dm=S; the zero function always belongs to Dm.

Translation. For u∈S′(Rn) and a∈Rn define the translate τau by transposition, ⟨τau,φ⟩:=⟨u,φ(⋅+a)⟩,φ∈S(Rn). This is a tempered distribution: translation is a continuous complex-linear endomorphism of S(Rn) (Basic operations are continuous on Schwartz space), so the composition is a continuous complex-linear functional (Tempered distribution). On functions, τaf(x)=f(x−a) for a∈Rn.

Translation invariance of the domain and of the operator. If f∈Dm and a∈Rn, then τaf∈Dm and Tmτaf=τaTmf. Justification. Write e−a(ξ)=e−2πia⋅ξ. First, F(τaf)=e−af^: the integral formula is the translation law for the L1 transform, applicable because Schwartz functions are integrable (Schwartz derivatives are integrable, Translation, modulation, linear dilation and reflection laws), and the distributional transform of the integrable function τaf is the regular distribution of its integral transform (Fourier transform agrees with l one and plancherel transforms). Second, with g=mf^, the product mF(τaf)=e−ag is locally integrable, and its regular distribution satisfies ⟨ue−ag,φ⟩=⟨ug,e−aφ⟩ for every compactly supported smooth test φ; since e−a is smooth with polynomially bounded derivatives, Smooth polynomially bounded multipliers on schwartz space makes e−aug a tempered extension of the regular distribution of e−ag. Uniqueness of extension gives ue−ag=e−aug on all Schwartz tests. Hence τaf∈Dm. Third, for u∈S′ one has F(τau)=e−aFu: pairing both sides with a Schwartz test φ and using the definition of F on S′ gives ⟨F(τau),φ⟩=⟨τau,Fφ⟩=⟨u,τ−aFφ⟩=⟨u,F(e−aφ)⟩=⟨e−aFu,φ⟩, where the middle identity is the modulation law F(e−2πia⋅xφ)(ξ)=φ^(ξ+a) of Translation, modulation, linear dilation and reflection laws and the last identity is the definition of multiplication of a distribution by the smooth symbol e−a (Smooth polynomially bounded multipliers on schwartz space). Applying this to u=Tmf and combining the three computations, F(Tmτaf)=ue−ag=e−aug=e−aF(Tmf)=F(τaTmf). Injectivity of F on S′ now gives Tmτaf=τaTmf.

The Countable Choice hypothesis is inherited only from the cited Fourier interfaces; the transposition defining τa uses none.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-30Open item page →

Exact L2 Fourier multiplier norm

Statement

Assume Countable Choice and let n≥1. Let m:Rn→C be measurable with finite essential supremum M:=∥m∥∞=ess sup⁡∣m∣<∞. Then:

  1. S(Rn)⊆Dm, and for every Schwartz class f the tempered distribution Tmf of Translation-invariant Fourier multiplier on the Schwartz core is the regular distribution of the L2 class F2−1(m⋅F2f), so as L2 classes Tmf=F2−1(m F2f) and ∥Tmf∥2≤M∥f∥2.
  2. The Schwartz-core action extends uniquely to a bounded operator Tm:L2(Rn;C)→L2(Rn;C), namely Tm=F2−1MmF2 with Mmg=m g the multiplication operator, and its operator norm is exactly ∥Tm∥L2→L2=M=ess sup⁡Rn∣m∣.
  3. The operator depends only on the almost-everywhere class of m: if m=m′ almost everywhere then the two operators on L2 agree. In particular the values of m on Lebesgue-null sets, including the single point {0}, do not affect the operator or its norm.

This is an L2 statement only: no Lp boundedness for p≠2 is asserted, and m is not assumed continuous, smooth, or polynomially bounded.

Facts & Assumptions

Given: Countable Choice, n≥1, a measurable m with M=∥m∥∞<∞, and the conventions of Complex Lp classes and Euclidean test-function conventions for L2 classes.

[A1]

Countable Choice is assumed for the Plancherel, density and extension interfaces [F2]-[F4], the Fourier compatibility and multiplier-domain interfaces [F6]-[F7], and the Lebesgue-measure interface in [F8] (The Axiom of Countable Choice (ACω)).

[F1]

The essential supremum N∞(m)=∥m∥∞ is the least essential bound: ∣m∣≤M almost everywhere, and ∣m∣≤L almost everywhere implies M≤L (The essential supremum is attained as the least essential bound, The essential supremum of a measurable function with respect to a measure).

[F2]

Plancherel F2:L2(Rn;C)→L2(Rn;C) is a surjective complex-linear isometry (Plancherel theorem).

[F3]

The Schwartz classes are dense in complex L2(Rn) (Schwartz space is dense in L2).

[F4]

A bounded linear map on a dense subspace of a normed space into a Banach space has a unique bounded linear extension with the same operator norm (A bounded linear map from a dense normed subspace into a Banach space extends uniquely with the same norm, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[F5]

Every Lp class, 1≤p≤∞, has a representative defining a tempered distribution; in particular L2 classes define tempered distributions (Polynomial growth functions define tempered distributions).

[F6]

For h∈L2 the distributional transform of the regular distribution is Fuh=uF2h, equivalently F−1(uF2h)=uh (Fourier transform agrees with l one and plancherel transforms).

[F7]

Dm and Tmf=F−1(umf^) are defined whenever mf^ is locally integrable with tempered regular distribution; on Schwartz functions f^ is the integral transform and is a Schwartz class (Translation-invariant Fourier multiplier on the Schwartz core).

[F8]

Lebesgue measure is sigma-finite and finite on bounded sets (Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure), and for an increasing sequence of measurable sets μ(⋃kEk)=sup⁡kμ(Ek) (Continuity from below for measures).

Proof

technique · conjugate the multiplication operator by Plancherel and test it on normalised indicators of superlevel sets
1.1F1given

Put M=∥m∥∞, so ∣m∣≤M almost everywhere and no smaller constant has this property [F1]. For an L2 class g the product mg is measurable, and ∣mg∣≤M∣g∣ almost everywhere, so mg∈L2 with ∥mg∥2≤M∥g∥2; the assignment Mmg=mg is complex-linear and depends only on the classes of m and g, since changing either on a null set changes mg only on a null set.

1.2F1given

Assume M>0 and fix 0<ε<M. Were ∣m∣≤M−ε almost everywhere, [F1] would give M≤M−ε, a contradiction; hence Eε={x:∣m(x)∣>M−ε} has positive Lebesgue measure.

2.1F2step 1.1

The operator Sm:=F2−1MmF2 is a bounded complex-linear operator on L2(Rn;C) with ∥Sm∥≤∥Mm∥≤M, by [F2] and step 1.1.

2.2F5F7step 1.1

Let f∈S(Rn) and let f^ be its integral transform, a Schwartz class; then mf^∈L2 with ∥mf^∥2≤M∥f^∥2, so mf^ is locally integrable and its regular distribution is tempered by [F5]; hence f∈Dm and Tmf=F−1(umf^) by [F7].

2.3F8step 1.2

The sets Eε∩B(0,k) increase to Eε, so [F8] gives 0<∣Eε∣=sup⁡k∣Eε∩B(0,k)∣; choose k with 0<∣Eε∩B(0,k)∣<∞, possible because balls have finite measure.

3.1F2F6step 2.2

Applying [F6] with h=F2−1(mF2f)∈L2 identifies F−1(umF2f)=uh; since f^=F2f as L2 classes by [F2] and [F6], step 2.2 gives Tmf=uh and therefore the L2 class identity Tmf=F2−1(mF2f)=Smf, with ∥Tmf∥2=∥mF2f∥2≤M∥F2f∥2=M∥f∥2.

3.2F1step 2.1

Claim ∥Sm∥=M. In the degenerate case M=0, [F1] gives m=0 almost everywhere, so Mm=0 and ∥Sm∥=0=M.

3.3F2step 2.3

Put g=∣Eε∩B(0,k)∣−1/21Eε∩B(0,k)∈L2, a unit vector. On Eε∩B(0,k) one has ∣m∣>M−ε and g≠0, so ∥Mmg∥22=∫Eε∩B(0,k)∣m∣2∣g∣2>(M−ε)2∫g2=(M−ε)2; therefore, putting f=F2−1g, [F2] gives ∥f∥2=1 and ∥Smf∥2=∥Mmg∥2>M−ε; and ∥Sm∥≥M−ε for every such ε.

4.1F3F4step 2.1step 3.1

By step 3.1 the operator Sm agrees on the dense subspace S(Rn) with the Schwartz-core action f↦Tmf of [F7]; since S is dense in L2 by [F3] and Sm is bounded linear by step 2.1, [F4] makes Sm the unique bounded linear extension of the core action, with the same operator norm.

5.1step 2.1step 4.1step 3.2step 3.3

Step 3.2 gives ∥Sm∥=0=M when M=0, and when M>0 step 3.3 gives ∥Sm∥≥M−ε for every 0<ε<M, hence ∥Sm∥≥M after letting ε↓0; step 2.1 gives ∥Sm∥≤M; hence ∥Sm∥=M, which together with step 4.1 proves the exact operator norm of statement 2.

6.1A1F2F3F4F6F7F8step 1.1step 3.1step 5.1∎

Finally let m=m′ almost everywhere. Then for every L2 class g the products mg and m′g agree almost everywhere, so Mm=Mm′ and Sm=Sm′; the operators, and hence their norm M, depend only on the almost-everywhere class of m. Countable Choice supplies the hypotheses of [F2]-[F4], [F6]-[F7] and the Lebesgue-measure part of [F8]. The choice of a single integer k in step 2.3 for a fixed ε requires no additional choice principle.

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-30Open item page →

Lp Fourier multiplier and its norm

Definition

Assume Countable Choice and let n≥1. Let m:Rn→C be measurable, with Schwartz domain Dm and operator Tm as in Translation-invariant Fourier multiplier on the Schwartz core, and fix 1≤p<∞.

Definition of an Lp Fourier multiplier. The symbol m is an Lp Fourier multiplier when:

  1. S(Rn)⊆Dm, so Tm is defined on all of Schwartz space;
  2. for every f∈S(Rn) the tempered distribution Tmf is the regular distribution of some class in Lp(Rn;C), in the conventions of Complex Lp classes and Euclidean test-function conventions;
  3. there is a finite constant C with ∥Tmf∥Lp≤C∥f∥Lp for every f∈S(Rn), where the norm on the left is that of the uniquely determined Lp class representing Tmf.

Condition 2 is meaningful because the regular-distribution map is injective on locally integrable classes (Locally integrable functions embed in distributions), so the Lp class representing Tmf is unique. The set of admissible constants C in condition 3 is nonempty by hypothesis and bounded below by 0.

The multiplier norm. Assume m is an Lp multiplier. Then the assignment f↦Tmf is a complex-linear map from the dense subspace S(Rn) of Lp(Rn;C) into the Banach space Lp(Rn;C): the compactly supported smooth functions are contained in Schwartz space and are dense in Lp for finite p (Complex finite-simple and smooth compact-support density for finite p), and Lp is complete (Complex completeness, density, and inner product: the consumer interface). By A bounded linear map from a dense normed subspace into a Banach space extends uniquely with the same norm there is a unique bounded linear Tm~:Lp(Rn;C)→Lp(Rn;C) extending it, with ∥Tm~∥=inf⁡{C:∥Tmf∥p≤C∥f∥p for all f∈S(Rn)}. We write Tm for this extension as well and define the multiplier norm ∥m∥Mp:=∥Tm∥Lp→Lp=∥Tm~∥. The infimum is a minimum, attained by the operator norm of the extension. This definition asserts nothing about which symbols are multipliers: no Mihlin type condition, no endpoint p=1 or p=∞ boundedness claim, and no algebraic property of the set Mp={m:∥m∥Mp<∞} is stated here.

The case p=∞. At p=∞ the Schwartz core is not dense. A Schwartz function satisfies ∣φ(x)∣≤CN(1+∣x∣)−N for every N, because (1+∣x∣2)N is a finite combination of monomials and each ∣xαφ(x)∣ is a finite Schwartz seminorm (Schwartz space and its seminorms), so every Schwartz class has a C0 representative; the L∞-closure of Cc(Rn;C) is exactly the set of classes with a C0 representative, and it does not contain the class of the constant function 1 (Complex finite-simple and smooth compact-support density for finite p). Hence uniqueness of a bounded extension of the Schwartz-core action cannot be inferred, and this definition attaches no intrinsic norm ∥m∥M∞ to the core action alone. Whether a chosen bounded extension exists on L∞, and which one is intended, are separate specification decisions not made here.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-30Open item page →

Hausdorff–Young for periodic Fourier coefficients

Statement

Assume Countable Choice and let T=R/Z carry its normalized Haar measure mT, so that mT(T)=1. Let 1≤p≤2 and let p′ be the conjugate exponent, 1/p+1/p′=1. Every complex class f∈Lp(T;C) has a Fourier coefficient sequence (f^(k))k∈Z in ℓp′(Z;C) and (∑k∈Z∣f^(k)∣p′)1/p′≤∥f∥Lp(T),1≤p<2, with the supremum reading at p=1, sup⁡k∈Z∣f^(k)∣≤∥f∥L1(T), and at p=2 the Parseval equality (∑k∈Z∣f^(k)∣2)1/2=∥f∥L2(T). The Fourier coefficients are those of Fourier coefficients and trigonometric polynomials on the torus. No reverse inequality for p>2 and no endpoint statement beyond p=1,2 is claimed.

Facts & Assumptions

Given: Countable Choice, the probability space (T,mT), an exponent 1≤p≤2, and f∈Lp(T;C).

[A1]

Countable Choice is the hypothesis carried by the Parseval and interpolation interfaces below (The Axiom of Countable Choice (ACω)).

[F1]

The Fourier coefficient is f^(k)=∫Tf e−k dmT with e−k(x)=e−2πikx; the characters satisfy ∣ek∣=1, each coefficient functional is complex-linear and depends only on the almost-everywhere class of f (Fourier coefficients and trigonometric polynomials on the torus).

[F2]

For f,g∈L2(T;C) the Fourier coefficients satisfy the Parseval identities ∥f∥22=∑k∣f^(k)∣2 and ⟨f,g⟩=∑kf^(k)g^(k)‾ (The Parseval identity for Fourier series).

[F3]

On sigma-finite measure spaces a complex-linear finite-simple-core operator with ∥Tg∥∞≤A∥g∥1 and ∥Tg∥2≤B∥g∥2 satisfies, for 1<p<2, the interpolation bound ∥Tg∥p′≤A2/p−1B2−2/p∥g∥p; at p=1 and p=2 the endpoint estimates are retained, and under countable choice the core operator has the unique compatible bounded extensions to the full Lp spaces (Interpolate L1 to Linfinity and L2 to L2 bounds).

[F4]

Under countable choice, every two extensions of the same finite-simple core operator agree as measurable almost-everywhere classes on the intersection of their domains (Compatible extensions from the finite simple core).

[F5]

∣∫g dμ∣≤∫∣g∣ dμ for integrable g (The modulus of an integral is bounded by the integral of the modulus).

[F6]

On a finite measure space, Lr⊆Lp for 1≤p<r<∞ with ∥g∥p≤μ(X)1/p−1/r∥g∥r (Finite-measure Lr includes into Lp for p<r).

[F7]

On every measure space, complex finite simple functions with finite-measure nonzero sets are dense in Lq(μ;C) for 1≤q<∞ (Complex finite-simple and smooth compact-support density for finite p).

[F8]

Complex Lq of a measure space is the set quotient Lq/ ⁣∼ of measurable classes of Complex Lp classes and Euclidean test-function conventions; the counting-measure space on Z is written ℓq(Z;C).

Proof

technique · prove the two endpoint bounds on the finite-simple core, interpolate, and identify the interpolated extension with the coefficient map
1.1F1F8given

Let C assign to the almost-everywhere class of a complex finite simple function s on T with finite-measure nonzero set its coefficient sequence Cs=(s^(k))k∈Z. This is well defined on classes and complex-linear by [F1]; its target is a space of measurable classes on Z with counting measure, which is sigma-finite, and its source space is the probability space T.

2.1F1F5step 1.1

For such a class s and every k, ∣s^(k)∣≤∫T∣s∣ ∣e−k∣ dmT=∥s∥1 by [F1] and [F5], so ∥Cs∥∞≤∥s∥1: the L^1-to-L-infinity endpoint bound holds with A=1.

2.2F2step 1.1

A finite simple function on a probability space is bounded, hence lies in L2(T;C), and [F2] gives ∥Cs∥2=∥s∥2; the L^2-to-L^2 endpoint bound holds with B=1.

3.1F3step 2.1step 2.2

Applying [F3] to the core operator C of step 1.1 with endpoints (p0,q0)=(1,∞), A=1 and (p1,q1)=(2,2), B=1 yields, for every 1<p<2, a unique compatible bounded extension Tp:Lp(T)→ℓp′(Z) with ∥Tpf∥p′≤∥f∥p, while at p=1 and p=2 the endpoint estimates of steps 2.1 and 2.2 hold; both measure spaces are sigma-finite.

3.2F1F2F7step 2.1

The L1-extension of C is the coefficient map: the coefficient map is a bounded linear map L1(T)→ℓ∞(Z) agreeing with C on the finite simple classes, which are dense in L1(T) by [F7], and extensions from a dense core into a Banach space are unique; the same argument identifies the L2-extension with the coefficient map on L2(T).

4.1F4F6step 3.1

Fix 1<p<2. Since mT(T)=1, [F6] gives Lp(T)⊆L1(T) with ∥f∥1≤∥f∥p, so the domain intersection of the Lp-extension Tp and the L1-extension contains all of Lp(T); by [F4] the two extensions agree as measurable classes there.

5.1F2step 3.1step 4.1step 3.2

By steps 4.1 and 3.2, for 1<p<2 the sequence Tpf is the coefficient sequence (f^(k)), and since ℓp′(Z)⊆ℓ∞(Z) with ∣f^(k)∣≤∥Tpf∥p′, step 3.1 gives ∥f^∥p′≤∥f∥p; the case p=2 is the Parseval equality of [F2].

6.1A1F6step 2.1∎

The case p=1 is the endpoint estimate of step 2.1 applied to L1 classes, and Countable Choice is used only through the cited Parseval and interpolation interfaces [A1]; the finite-measure convention mT(T)=1 enters only through [F6] and the probability-space identification of the core.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Hausdorff–Young for the Euclidean Fourier transform

Statement

Assume Countable Choice, let n≥1, and let f^(ξ)=∫Rnf(x)e−2πix⋅ξ dx be the integral Fourier transform on L1(Rn;C). For 1≤p≤2 with conjugate exponent p′, the transform extends compatibly to a complex-linear bounded map Fp:Lp(Rn;C)⟶Lp′(Rn;C),∥Fpf∥p′≤∥f∥p. At p=1 this map is the integral transform of The L1 transform is bounded and uniformly continuous, at p=2 it is the unitary Plancherel transform of Plancherel theorem, and on L1∩L2 the two interpretations agree almost everywhere (Agreement of the integral and L2 transforms). For 1<p<2 the extension agrees almost everywhere with the integral transform on its intersection with L1 and with the Plancherel transform on its intersection with L2. No statement for p>2 and no pointwise representative identity is claimed.

Facts & Assumptions

Given: Countable Choice, n≥1, an exponent 1≤p≤2, and, where required, f∈Lp(Rn;C).

[A1]

Countable Choice is carried by the Plancherel and interpolation interfaces cited below (The Axiom of Countable Choice (ACω)).

[F1]

For f∈L1(Rn;C) the integral f^(ξ) converges absolutely for every ξ, is unchanged by null-set modifications, and satisfies ∣f^(ξ)∣≤∥f∥1 (The integral transform is representative independent).

[F2]

The integral transform is a complex-linear map L1(Rn;C)→BUC(Rn;C) with sup⁡ξ∣f^(ξ)∣≤∥f∥1, so its classes are bounded measurable classes on the sigma-finite Lebesgue space (The L1 transform is bounded and uniformly continuous).

[F3]

Plancherel extends the Schwartz transform to a surjective complex-linear isometry F2:L2→L2 (Plancherel theorem).

[F4]

If f∈L1∩L2, the bounded continuous integral transform f^ represents F2f almost everywhere (Agreement of the integral and L2 transforms).

[F5]

On sigma-finite measure spaces a complex-linear finite-simple-core operator with ∥Tg∥∞≤A∥g∥1 and ∥Tg∥2≤B∥g∥2 satisfies, for 1<p<2, ∥Tg∥p′≤A2/p−1B2−2/p∥g∥p, retains the endpoint estimates at p=1,2, and has unique compatible bounded extensions to the full Lp spaces under countable choice (Interpolate L1 to Linfinity and L2 to L2 bounds).

[F6]

Every two extensions of the same finite-simple core operator agree as measurable almost-everywhere classes on their domain intersection (Compatible extensions from the finite simple core).

[F7]

Complex finite simple functions with finite-measure nonzero sets are dense in Lq(Rn;C) for 1≤q<∞ (Complex finite-simple and smooth compact-support density for finite p).

[F8]

Complex Lp classes, their norms and almost-everywhere equality are those of Complex Lp classes and Euclidean test-function conventions.

Proof

technique · interpolate the L1 and L2 endpoint bounds on the finite-simple core and identify the extensions with the two known transforms
1.1F1F2F8given

Let T send the almost-everywhere class of a complex finite simple function s with finite-measure nonzero set on Rn to the class of its integral transform s^. The class is well defined and T is complex-linear by [F1], [F2] and [F8].

2.1F1F2step 1.1

For such an s one has ∥Ts∥∞=sup⁡ξ∣s^(ξ)∣≤∥s∥1, the L^1-to-L-infinity endpoint bound with A=1.

2.2F3F4step 1.1

Such an s lies in L1∩L2, so [F4] identifies s^ with F2s almost everywhere; [F3] then gives ∥Ts∥2=∥F2s∥2=∥s∥2, the L^2-to-L^2 endpoint bound with B=1.

3.1F5step 2.1step 2.2

Applying [F5] to T with the endpoints (p0,q0)=(1,∞), A=1 and (p1,q1)=(2,2), B=1 on the sigma-finite Lebesgue space Rn gives, for every 1<p<2, a unique compatible bounded extension Fp:Lp→Lp′ with ∥Fpf∥p′≤∥f∥p, while the endpoint estimates of steps 2.1 and 2.2 hold at p=1 and p=2.

3.2F2F3F7step 2.2

The L1-extension of T is the integral transform: by [F1] and [F2] the transform is a bounded linear map L1→L∞ agreeing with T on the core, and the core is dense in L1 by [F7]. Likewise the L2-extension of T is F2, since by step 2.2 F2 agrees with the core map on that dense core.

4.1F6step 3.1step 3.2

Fix 1<p<2 and f∈Lp. By [F6] the extension Fpf agrees almost everywhere with the L1-extension on Lp∩L1 and with the L2-extension on Lp∩L2; by step 3.2 these are the integral transform and the Plancherel transform respectively.

5.1A1F3F4F5step 3.1step 4.1∎

The claims at p=1 and p=2 are steps 2.1 and 2.2 together with step 3.2, while for 1<p<2 steps 3.1 and 4.1 give the bounded compatible extension and its agreement with the integral and Plancherel transforms on the respective intersections; the case f∈L1∩L2 is [F4]. Countable Choice is used only through [F3] and [F5].

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Mihlin smoothness convention above half the dimension

Definition

Assume Countable Choice and let n≥1. Put q:=⌊n/2⌋+1. A measurable m:Rn→C is a Mihlin symbol in this convention when there is a function m0∈Cq(Rn∖{0}) such that m=m0 Lebesgue almost everywhere and there are constants Cα≥0, indexed by the multi-indices α of Ck maps and multi-index derivative notation in Euclidean space with ∣α∣≤q, for which ∣∂αm0(ξ)∣≤Cα ∣ξ∣−∣α∣(ξ≠0, ∣α∣≤q). The derivatives are taken in the punctured open set Rn∖{0}; the value m(0) is not constrained.

Consequences recorded here. The case α=0 gives ∣m0(ξ)∣≤C0 for every ξ≠0, so ∣m∣≤C0 Lebesgue almost everywhere, because the singleton {0} is Lebesgue null (Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0); thus a Mihlin symbol is essentially bounded and ∥m∥∞=ess sup⁡∣m∣≤C0 (The essential supremum of a measurable function with respect to a measure). Consequently the exact L2 multiplier lemma applies: every Schwartz function lies in the Schwartz domain of m, and the operator Tm has a unique bounded extension to L2(Rn;C) of norm ∥m∥∞≤C0 (Exact L2 Fourier multiplier norm). This definition is a sufficient symbol condition: Lp(Rn) boundedness for 1<p<∞ is a separate theorem, assigned in this library to the later Mihlin multiplier theorem built on singular-integral estimates, and no such boundedness is asserted here.

Derivative count. The count q=⌊n/2⌋+1 is the classical "more than half the dimension" requirement used by multiplier theory. Grafakos assumes m0∈C[n/2]+1 away from the origin with the pointwise inequalities above and derives the annular estimates used in his proof; Exact L2 Fourier multiplier norm supplies only the L2 part of that theorem. Williams states the same conclusion under the stronger count ∣α∣≤d+2, so his theorem does not reduce the derivative count adopted here. The bounds are required for ξ≠0 only: homogeneity of order zero near the origin, such as the signum symbol in one dimension, is compatible with the condition, while a jump at a nonzero frequency is not, since Cq functions on the punctured space are continuous there.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Distributional derivatives are polynomial Fourier multipliers

Statement

Assume Countable Choice and let n≥1. For every u∈S′(Rn) and every multi-index α∈N0n, F(Dαu)=(2πiξ)αFuin S′(Rn), where Dα is the distributional derivative of Ck maps and multi-index derivative notation in Euclidean space and F is the negative-sign 2π-normalized transform. Moreover, if u=uf and Dαu=ug for L2 classes f,g∈L2(Rn) and their regular distributions, then the unitary Plancherel transforms satisfy F2g(ξ)=(2πiξ)αF2f(ξ)for almost every ξ∈Rn. The second assertion compares the Plancherel classes only; it neither asserts pointwise values of arbitrary representatives nor presupposes any Sobolev-space notation.

Facts & Assumptions

Given: Countable Choice, n≥1, u∈S′(Rn), a multi-index α, and, for the second assertion, L2 classes f,g with u=uf and Dαu=ug.

[A1]

Countable Choice is the hypothesis carried by the cited tempered distribution and Plancherel interfaces (The Axiom of Countable Choice (ACω)).

[F1]

The distributional derivative of a tempered distribution is tempered and F(∂αu)=(2πiξ)αFu in S′, with the conventions ⟨∂αu,φ⟩=(−1)∣α∣⟨u,∂αφ⟩ and bilinear test pairing (Fourier differentiation and multiplication identities on tempered distributions).

[F2]

Every complex Lp class, 1≤p≤∞, has a representative whose regular distribution is tempered; in particular L2 classes define tempered distributions (Polynomial growth functions define tempered distributions).

[F3]

The locally integrable regular distribution is uh(φ)=∫hφ, with bilinear pairing, and the map h↦uh factors through almost-everywhere equality (Regular distribution from a locally integrable function).

[F4]

The regular-distribution map on locally integrable functions is injective after almost-everywhere identification (Locally integrable functions embed in distributions).

[F5]

For h∈L2(Rn) the distributional transform of the regular distribution is the regular distribution of the Plancherel transform: Fuh=uF2h in S′ (Fourier transform agrees with l one and plancherel transforms).

[F6]

Multiplication of a tempered distribution w by a smooth function a with polynomially bounded derivatives is the tempered distribution ⟨aw,φ⟩=⟨w,aφ⟩ (Smooth polynomially bounded multipliers on schwartz space).

[F7]

Plancherel extends the Schwartz transform to a surjective complex-linear isometry F2:L2→L2 (Plancherel theorem).

Proof

technique · transpose the published differentiation identity, then compare regular distributions
1.1F1

The multi-index derivative Dαu is the iterated distributional partial derivative, so [F1] applies verbatim and gives F(Dαu)=(2πiξ)αFu in S′; this includes α=0, where the multiplier is the constant 1.

1.2F2F5

Assume now that u=uf and Dαu=ug for L2 classes f,g. Both regular distributions are tempered by [F2], and [F5] identifies their transforms as Fuf=uF2f and Fug=uF2g.

2.1F3F6step 1.1step 1.2

Substituting step 1.2 into step 1.1 applied to uf gives uF2g=(2πiξ)αuF2f=u(2πiξ)αF2f: the last equality follows from the product rule [F6] with the smooth polynomially bounded multiplier (2πiξ)α together with the defining formula [F3], since both sides pair a test φ with ∫Rn(2πiξ)αF2f(ξ)φ(ξ) dξ.

3.1F3F4F7step 2.1

Since F2 is a surjective isometry of L2 [F7], the class F2f lies in L2; the function ξ↦(2πiξ)αF2f(ξ) is a polynomially growing multiple of it and hence is locally integrable, so both sides of step 2.1 are regular distributions of locally integrable functions; injectivity of that map [F4] yields F2g=(2πiξ)αF2f almost everywhere.

4.1A1step 1.1step 3.1∎

Countable Choice is used only through the cited tempered-distribution and Plancherel interfaces [A1]; the transposition computation of step 1.1 and the injectivity argument of step 3.1 add no further choice.

Sources

  • Semyon Dyatlov, Lecture Notes for 18.155, §12.1.1, Proposition 12.1 and proof, printed pp. 139-140. The source uses D=−i∂ and unit normalization; its identity is converted here to the repository convention F(∂ju)=2πiξjFu.
  • Mark Williams, Notes on Harmonic Analysis, §5.3 and §6.2, printed pp. 19-25, for the multiplier and Sobolev conventions in which the polynomial symbol is consumed.
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Integer-order W^{k,2} and H^k agree with equivalent norms

Statement

Assume Countable Choice, let n≥1 and k∈N0, and use complex scalars. Write Wk,2=Wk,2(Rn;C) for the weak-derivative Sobolev space of Integer-order Sobolev spaces and their norms, whose classes carry the weak derivatives Dαf∈L2(Rn;C) for ∣α∣≤k and the norm ∥f∥Wk,2=(∑∣α∣≤k∥Dαf∥22)1/2, and let Hk=Hk(Rn) be the real-order Bessel-potential completion of Real-order Bessel-potential completion H^s with its canonical embedding Ek:Hk→S′(Rn) (The Bessel completion embeds canonically in tempered distributions). Let uf∈S′(Rn) denote the regular tempered distribution of an L2 class f. Then:

  1. Ek[Hk]={uf:f∈Wk,2}, and Φ(f):=Ek−1(uf) is a bijection Φ:Wk,2→Hk. Thus, under the regular-distribution embedding, Wk,2 and Hk are the same subspace of S′(Rn).
  2. There are constants 0<ck≤Ck<∞, depending only on n and k, with ck1/2 ∥⟨ξ⟩kF2f∥2≤∥f∥Wk,2≤Ck1/2 ∥⟨ξ⟩kF2f∥2, and ∥⟨ξ⟩kF2f∥2=∥Φ(f)∥Hk. Hence the weak-derivative norm and the bracket-weighted L2 norm are equivalent, and the latter is also equivalent to ∥(1+4π2∣ξ∣2)k/2F2f∥2, by ∥⟨ξ⟩kh∥2≤∥(1+4π2∣ξ∣2)k/2h∥2≤(2π)k∥⟨ξ⟩kh∥2,h∈L2.
  3. The three norm expressions are not identical in general: the bracket-weighted norm differs from both the weak-derivative norm and the Laplacian-weighted norm, as the Gaussian computation in the proof shows.

Facts & Assumptions

Given: Countable Choice, n≥1, k∈N0, an L2 class f, and the multi-index conventions of Ck maps and multi-index derivative notation in Euclidean space for α∈N0n.

[A1]

Countable Choice is the hypothesis carried by every cited Sobolev, Fourier and regular-distribution interface below (The Axiom of Countable Choice (ACω)).

[F1]

Wk,p(Ω;K) consists of Lp classes u such that for every ∣α∣≤k there is an Lp class Dαu whose locally integrable representative satisfies ∫u Dαφ=(−1)∣α∣∫Dαu φ for all φ∈Cc∞(Ω); D0u=u; the norm is the displayed finite-p sum, and for p=2, k=0 one has W0,2=L2 (Integer-order Sobolev spaces and their norms).

[F2]

The weak-derivative test identity is equivalent to ∂αTu=Tv in the sense of distributions; it is unchanged by almost-everywhere changes of u and v (Weak derivative of a locally integrable function, Weak differentiation ignores null-set changes), and a weak derivative is unique as an almost-everywhere class (Uniqueness of a weak derivative as an almost-everywhere class). The displayed Wk,p formula is a genuine norm on classes (The Sobolev norm descends to equivalence classes).

[F3]

The completion Hs carries the norm ∥U∥Hs=lim⁡j∥⟨ξ⟩su^j∥2 of Cauchy sequences, and EsU=F−1(uw−sJsU) is a linear injection (Real-order Bessel-potential completion H^s, The Bessel completion embeds canonically in tempered distributions).

[F4]

For s∈R let Ms={u∈S′:wsFu=ug for some g∈L2}, where ws(ξ)=⟨ξ⟩s and wsFu is distribution multiplication. Then Es:Hs→Ms is a bijection, g is unique, and ∥Es−1(u)∥Hs=∥g∥2 (Weighted tempered-distribution characterization of H^s).

[F5]

For L2 classes f,h with uf=u and uh=∂αu, the Plancherel transforms satisfy F2h=(2πiξ)αF2f almost everywhere (Distributional derivatives are polynomial Fourier multipliers).

[F6]

F(∂αu)=(2πiξ)αFu in S′(Rn) (Fourier differentiation and multiplication identities on tempered distributions).

[F7]

Plancherel F2 is a surjective complex-linear isometry of L2(Rn;C) extending the Schwartz transform, so ∥F2h∥2=∥h∥2 (Plancherel theorem, Complex Lp classes and Euclidean test-function conventions).

[F8]

For h∈L1, Fuh=uh^ with the integral Fourier transform, and for h∈L2, Fuh=uF2h; every L2 class defines a regular tempered distribution, and the regular-distribution map is injective after almost-everywhere identification. Hence the integral and Plancherel transforms agree almost everywhere for h∈L1∩L2 (Fourier transform agrees with l one and plancherel transforms, Polynomial growth functions define tempered distributions, Locally integrable functions embed in distributions).

[F9]

Multiplication of a tempered distribution by a smooth polynomially bounded symbol a is ⟨au,φ⟩=⟨u,aφ⟩; with the regular distribution ⟨uh,φ⟩=∫hφ of a locally integrable h (Regular distribution from a locally integrable function) the same display with u=uh gives a uh=uah (Smooth polynomially bounded multipliers on schwartz space).

[F10]

Fourier transformation is a topological automorphism of S′(Rn), in particular injective (Fourier transform is a topological automorphism of tempered distributions).

[F11]

For n≥1 and t>0, F(e−πt∣x∣2)(ξ)=t−n/2e−π∣ξ∣2/t, and every polynomial multiple of a positive Gaussian is absolutely integrable (Euclidean Gaussian transform with the 2π normalization).

[F12]

For every integer m≥1 and a>0, rme−ar→0 as r→+∞ (The exponential dominates every fixed nonnegative integer power at +∞).

Proof

technique · compare the derivative-sum weight with the bracket weight and transfer the weighted tempered-distribution characterization. Throughout, $P_k(\xi)=\sum_{|\alpha|\le k}(2\pi)^{2|\alpha|}|\xi^\alpha|^2$ and $w_k(\xi)=\langle\xi\rangle^k$
1.1F1F2F5F7

Let f∈Wk,2 and ∣α∣≤k. By [F1] the class Dαf lies in L2, and by [F2] the weak-derivative test identity for (f,Dαf) is equivalent to ∂αuf=uDαf; applying [F5] to the pair (f,Dαf) gives F2(Dαf)=(2πiξ)αF2f almost everywhere, and [F7] gives ∥Dαf∥2=∥(2πiξ)αF2f∥2<∞. At k=0 this is D0f=f and the Plancherel identity.

1.2algebra

The polynomial comparison. For ∣α∣≤k one has (2π)2∣α∣≤(2π)2k and ∣ξα∣2≤⟨ξ⟩2k; indeed ∣ξα∣2=∏j∣ξj∣2αj≤max⁡(1,∣ξ∣)2∣α∣, which is 1≤(1+∣ξ∣2)k when ∣ξ∣<1 and at most ∣ξ∣2k≤(1+∣ξ∣2)k when ∣ξ∣≥1. For the lower bound, if ∣ξ∣≤1 the α=0 term equals 1 while ⟨ξ⟩2k≤2k; if ∣ξ∣≥1, some coordinate satisfies ∣ξj∣=max⁡l∣ξl∣≥n−1/2∣ξ∣, so the term α=kej gives Pk(ξ)≥(2π)2k∣ξj∣2k≥(2π)2knk∣ξ∣2k≥(2π)2k(2n)k⟨ξ⟩2k, because ⟨ξ⟩2k=(1+∣ξ∣2)k≤2k∣ξ∣2k. Hence ck⟨ξ⟩2k≤Pk(ξ)≤Ck⟨ξ⟩2k with Nk:=#{α∈N0n:∣α∣≤k}, ck:=min⁡(2−k,(2π)2k(2n)k)>0 and Ck:=Nk(2π)2k; at k=0 both bounds equal 1.

1.3F2F4F6F8F9F10

Conversely, let u∈Mk and let g∈L2 satisfy wkFu=ug as in [F4], so g exists and is unique. Put f^:=wk−1g∈L2 and f:=F2−1f^∈L2. First, wk−1(wkFu)=Fu and wk−1ug=uf^ by applying [F9] to the smooth polynomially bounded symbols wk±1, so Fu=uf^=uF2f=F(uf) by [F8], and injectivity of F [F10] gives u=uf. Second, for each ∣α∣≤k put vα:=F2−1((2πiξ)αf^)∈L2, well defined since ∣(2πiξ)αf^∣≤(2π)k∣g∣ by ∣ξα∣≤⟨ξ⟩∣α∣. Then F(uvα)=u(2πiξ)αf^ by [F8], while F(∂αuf)=(2πiξ)αFuf=u(2πiξ)αf^ by [F6], [F8] and [F9]; injectivity [F10] gives ∂αuf=uvα, so by [F2] the class vα is a weak α-derivative of f and equals Dαf by uniqueness. Thus f∈Wk,2 with Dαf=vα and u=uf.

1.4F7algebra

The second norm equivalence. For h∈L2 and k≥0 the elementary estimates 1+∣ξ∣2≤1+4π2∣ξ∣2≤4π2(1+∣ξ∣2) raise to the k-th power to give ⟨ξ⟩2k≤(1+4π2∣ξ∣2)k≤(2π)2k⟨ξ⟩2k; multiplying by ∣h∣2 and integrating yields ∥⟨ξ⟩kh∥2≤∥(1+4π2∣ξ∣2)k/2h∥2≤(2π)k∥⟨ξ⟩kh∥2. Applied to h=F2f this makes the bracket-weighted and Laplacian-weighted norms of the statement equivalent.

1.5F2F5F7F8F11F12algebra

Non-identity of the norms. Take n=1, k=1 and f(x)=e−πx2. By [F11] at t=1, f∈L1, while [F11] at t=2 makes f2 and x2f2 integrable, so f,xf∈L2. Its ordinary derivative f′=−2πxf is therefore in L2; integration by parts against each compactly supported smooth test and [F2] show that f∈W1,2 with weak derivative Df=f′. The integral Fourier transform of f equals f by [F11], and the L1 and L2 distributional transform identities of [F8], followed by regular-distribution injectivity, give F2f=f almost everywhere. At frequency zero, [F11] with t=2 gives m:=∥f∥22=∫Re−2πx2dx=1/2. Integrating (xe−2πx2)′=e−2πx2−4πx2e−2πx2 over [−R,R] and letting R→∞ gives ∫Rx2e−2πx2dx=m/(4π): the boundary term 2Re−2πR2 tends to zero by [F12], and both integrals converge by [F11]. Thus ∥f′∥22=4π2⋅m/(4π)=πm, while [F5], [F7] give ∥∣ξ∣f^∥22=∥f′∥22/(4π2)=m/(4π). Hence ∥f∥W1,22=m+πm=(1+π)m, ∥⟨ξ⟩f^∥22=m+m/(4π)=(1+1/(4π))m and ∥(1+4π2ξ2)1/2f^∥22=m+4π2m/(4π)=(1+π)m; the bracket value differs from both the weak-derivative value and the Laplacian-weighted value.

2.1F1F7step 1.1step 1.2

Let f∈Wk,2. Steps 1.1 and 1.2 give ∥f∥Wk,22=∑∣α∣≤k∫Rn(2π)2∣α∣∣ξα∣2∣F2f(ξ)∣2 dξ=∫RnPk(ξ)∣F2f(ξ)∣2 dξ, a finite sum of finite integrals, and therefore ck∥⟨ξ⟩kF2f∥22≤∥f∥Wk,22≤Ck∥⟨ξ⟩kF2f∥22; in particular ⟨ξ⟩kF2f∈L2 with ∥⟨ξ⟩kF2f∥2≤ck−1/2∥f∥Wk,2.

3.1F3F4F8F9step 2.1

Let f∈Wk,2. Step 2.1 makes wkF2f∈L2, so [F8] gives F(uf)=uF2f and [F9] gives wkF(uf)=uwkF2f; hence uf∈Mk in the notation of [F4]. Therefore U:=Φ(f)=Ek−1(uf)∈Hk is defined, using the injection Ek of [F3], and [F4] with g=wkF2f gives ∥U∥Hk=∥⟨ξ⟩kF2f∥2.

4.1F3F4F8step 1.3step 3.1

The identification. Step 3.1 shows {uf:f∈Wk,2}⊆Mk and step 1.3 shows Mk⊆{uf:f∈Wk,2}; since [F4] gives Mk=Ek[Hk], the two sets are equal. The map Φ(f)=Ek−1(uf) is defined on all of Wk,2 and injective, because uf=uh forces f=h almost everywhere by the regular-distribution injection [F8]; it is surjective, because every U∈Hk has EkU∈Mk=uf for some f∈Wk,2 by step 1.3, so Φ(f)=U. Hence Φ is a bijection and Ek[Hk]={uf:f∈Wk,2}.

4.2F7step 2.1step 3.1

The first norm equivalence. For f∈Wk,2, step 2.1 gives ∥f∥Wk,2≤Ck1/2∥⟨ξ⟩kF2f∥2 and ck1/2∥⟨ξ⟩kF2f∥2≤∥f∥Wk,2, while step 3.1 identifies ∥⟨ξ⟩kF2f∥2=∥Φ(f)∥Hk; at k=0, c0=C0=1 and this is the Plancherel identity.

5.1A1step 1.4step 1.5step 4.1step 4.2∎

Steps 4.1 (bijection and equality of subspaces), 4.2 (weak-derivative and bracket norms equivalent with constants ck1/2,Ck1/2), 1.4 (bracket and Laplacian-weighted norms equivalent with constants 1,(2π)k) and 1.5 (not identical in general) prove statements 1-3, including the cases k=0 and n=1 handled above; Countable Choice is used only through the cited interfaces.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-30Open item page →

Real-order H^s as weighted Fourier distributions

Statement

Assume Countable Choice, let n≥1 and s∈R, and let Hs(Rn) be the real-order Bessel-potential completion of Real-order Bessel-potential completion H^s with its canonical embedding Es:Hs(Rn)→S′(Rn) (The Bessel completion embeds canonically in tempered distributions). Write ⟨ξ⟩=(1+∣ξ∣2)1/2 for the Japanese bracket, F for the negative-sign 2π-normalized Fourier transform, and ug(ϕ)=∫Rng(ξ)ϕ(ξ) dξ for the regular tempered distribution of g∈Lloc1(Rn). Define Ws={u∈S′(Rn):⟨ξ⟩sFu=ug in S′(Rn) for some g∈L2(Rn)}. Then:

  1. The canonical embedding restricts to a bijection Es:Hs(Rn)→Ws. Thus, after identifying a completion class with its image under Es, Hs(Rn) is exactly the set of tempered distributions whose bracket-weighted Fourier transform is the regular distribution of an L2 class, and that class g is unique.
  2. The norm identity is exact: ∥U∥Hs=∥g∥2=∥⟨ξ⟩sF(EsU)∥2(U∈Hs), where the last expression means the L2 norm of the unique density g of the distributional product ⟨ξ⟩sF(EsU), and the defining completion norm qs(ϕ)=∥⟨ξ⟩sϕ^∥2 of Real-order Bessel-potential completion H^s is not renormalized.
  3. The product ⟨ξ⟩sFu is distributional multiplication of Fu by the smooth polynomially bounded bracket weight, not an a priori pointwise product; and Hs elements are completion classes, not initially assumed to be functions.

Nothing here replaces the bracket weight by the Laplacian weight (1+4π2∣ξ∣2)s/2, and no pointwise value of g at an individual frequency is asserted before g is obtained from the defining condition.

Facts & Assumptions

Given: Countable Choice, n≥1, s∈R, the Japanese bracket ⟨ξ⟩≥1, and the canonical embedding Es:Hs(Rn)→S′(Rn).

[A1]

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

[F1]

For every n≥1 and s∈R, with Ms={u∈S′(Rn):⟨ξ⟩sFu=ug in S′(Rn) for some g∈L2(Rn)}, the canonical embedding Es restricts to a bijection Es:Hs(Rn)→Ms; the class g is unique; and if u=EsU corresponds to g, then ∥U∥Hs=∥g∥2. The product is multiplication of a tempered distribution by the smooth bracket multiplier (Weighted tempered-distribution characterization of H^s).

[F2]

Hs(Rn) is the normed-space completion of S in the positive-definite norm qs(ϕ)=∥⟨ξ⟩sϕ^∥2: its elements are Cauchy-sequence classes [uj] modulo zero limiting distance, ∥[uj]∥Hs=lim⁡jqs(uj), and the constant-sequence map is the canonical dense linear isometry (Real-order Bessel-potential completion H^s).

[F3]

Weighted Fourier transformation extends to a surjective linear isometry Js:Hs(Rn)→L2(Rn), Js([uj])=lim⁡j⟨ξ⟩sF(uj), and Es([uj])=F−1(u⟨ξ⟩−sJs[uj]) defines a well-defined continuous linear injection that is independent of the representing Cauchy sequence (The Bessel completion embeds canonically in tempered distributions).

[F4]

For real s the multipliers ⟨ξ⟩s and ⟨ξ⟩−s act continuously and invertibly on S′(Rn) by transposition, so ⟨ξ⟩sFu is defined for every tempered distribution u (Real powers of the Japanese bracket act on Schwartz space).

[F5]

Multiplication of a tempered distribution by a smooth polynomially bounded symbol a is ⟨au,φ⟩=⟨u,aφ⟩; with the regular distribution ⟨uh,φ⟩=∫hφ of a locally integrable h (Regular distribution from a locally integrable function) the same display with u=uh gives a uh=uah; the bracket weights ⟨ξ⟩±s are such symbols (Smooth polynomially bounded multipliers on schwartz space).

Proof

technique · unfold the two definitions of the same weighted set and transfer the batch-12 bijection, uniqueness and isometry
1.1F1F4given

The set displayed in the statement is exactly the set Ms of [F1]: both consist of the tempered u for which ⟨ξ⟩sFu=ug for some g∈L2, with the same convention that the product is the distributional multiplication of [F4]; hence Ws=Ms as subsets of S′(Rn).

2.1F1F3F5step 1.1

For U∈Hs put g:=JsU∈L2 and u:=EsU. By [F3] and [F1] one has Fu=u⟨ξ⟩−sg, and h:=⟨ξ⟩−sg is locally integrable, so [F5] applied with the smooth symbol a=⟨ξ⟩s gives ⟨ξ⟩sFu=⟨ξ⟩su⟨ξ⟩−sg=u⟨ξ⟩s⟨ξ⟩−sg=ug. Hence the unique L2 class attached to u by [F1] is g itself, and the batch-12 norm identity gives ∥U∥Hs=∥g∥2=∥⟨ξ⟩sF(EsU)∥2, the last norm being that of the density g of the product.

3.1F2step 2.1

The case s=0 is the instance ⟨ξ⟩0=1: the defining condition becomes Fu=ug for some g∈L2, the norm identity reads ∥U∥H0=∥F(E0U)∥2, and the completion norm is q0(ϕ)=∥ϕ^∥2 by [F2]. Nothing in steps 1.1 and 2.1 divides by a vanishing weight or degenerates; the instance is included in the general claims.

4.1F1F4step 1.1step 2.1step 3.1

The bijection. By [F1] the map Es:Hs→Ms is a bijection, and by step 1.1 Ms=Ws; hence the canonical embedding restricts to the bijection Es:Hs→Ws, and uniqueness of the class g is part of [F1]. Reading Es as the canonical identification, Hs consists exactly of the tempered distributions whose bracket-weighted Fourier transform is a regular L2 distribution, with the exact norm of statement 2. In particular no element of Hs is assumed to be a function, and the product is the distributional multiplication of [F4] rather than a pointwise product.

5.1A1F1F2F3step 1.1step 2.1step 3.1step 4.1∎

Conclusion. Step 4.1 gives the set identity, the canonical bijection and uniqueness; step 2.1 gives the exact norm; step 3.1 covers s=0; and step 1.1 records the distributional-product convention. This proves statements 1-3 for arbitrary n≥1 and s∈R. Countable Choice is used exactly through the completion, embedding and characterization interfaces [F1]-[F3], which carry it as their hypothesis.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Japanese-bracket and Laplacian Bessel-potential operators

Definition

Assume Countable Choice and let n≥1. Throughout, ⟨ξ⟩=(1+∣ξ∣2)1/2 is the Japanese bracket and F is the negative-sign 2π-normalized Fourier transform, an automorphism of S′(Rn) with inverse F−1 (Fourier transform is a topological automorphism of tempered distributions).

Japanese-bracket operator. For real t and u∈S′(Rn) define ⟨D⟩tu:=F−1(⟨ξ⟩tFu)∈S′(Rn), where ⟨ξ⟩tFu is multiplication of the tempered distribution Fu by the smooth symbol ⟨ξ⟩t.

Laplacian Bessel-potential operator. Independently, define (I−Δ)t/2u:=F−1((1+4π2∣ξ∣2)t/2Fu)∈S′(Rn).

Well-definedness and invertibility. The symbols wt(ξ)=⟨ξ⟩t, w−t(ξ)=⟨ξ⟩−t, at(ξ)=(1+4π2∣ξ∣2)t/2 and a−t(ξ)=(1+4π2∣ξ∣2)−t/2 are smooth, and every derivative has polynomial growth. For w±t this is Real powers of the Japanese bracket act on Schwartz space, which also states that these two multipliers act continuously and inversely on S and, by transposition, on S′. For a±t the chain rule and induction on ∣α∣ write ∂αat(ξ)=∑jPα,j(ξ) (1+4π2∣ξ∣2)t/2−j with polynomials Pα,j of degree at most ∣α∣; since 1+4π2∣ξ∣2 is bounded above and below by positive constant multiples of ⟨ξ⟩2, each term is O(⟨ξ⟩t+∣α∣) on Rn, so every derivative of at has polynomial growth, and the same holds for a−t. Hence Smooth polynomially bounded multipliers on schwartz space makes multiplication by either symbol a continuous endomorphism of S(Rn) whose transpose is a continuous endomorphism of S′(Rn) for both dual topologies. Since ata−t=1 pointwise, the two transposed maps are inverse: evaluated on a Schwartz test φ one has ⟨at(a−tu),φ⟩=⟨u,a−t(atφ)⟩=⟨u,φ⟩, and likewise with the factors exchanged. Thus both ⟨D⟩t and (I−Δ)t/2 are continuous bijections of S′(Rn) with inverses ⟨D⟩−t and (I−Δ)−t/2. No self-adjointness, spectral-theorem or positivity assertion is made here; the operators are defined by their Fourier symbols on tempered distributions.

Consistency at integer order. For every nonnegative integer m, F((I−Δ)mu)=(1+4π2∣ξ∣2)mFu, because the published Fourier differentiation identity gives F(∂j2u)=(2πiξj)2Fu=−4π2ξj2Fu, summation over j gives F(Δu)=−4π2∣ξ∣2Fu, and iterating m times (Fourier differentiation and multiplication identities on tempered distributions). So the symbol (1+4π2∣ξ∣2)m really is the integer power of I−Δ under this normalization.

The two symbols differ. For t≠0 the symbols ⟨ξ⟩t and (1+4π2∣ξ∣2)t/2 differ at every ξ≠0: equality would give 1+∣ξ∣2=1+4π2∣ξ∣2, hence ∣ξ∣=0, since 4π2≠1 and x↦xt/2 is injective on (0,∞) for t≠0. They agree at ξ=0, a Lebesgue-null set of frequencies. Consequently ⟨D⟩t and (I−Δ)t/2 are different operators for t≠0, and in particular ⟨D⟩t is not the Bessel potential (I−Δ)t/2; the bracket symbol uses the 2π-independent weight, while the Laplacian symbol carries the factor 4π2 from F(∂j)=2πiξjF.

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Bessel potentials shift Sobolev order

Statement

Assume Countable Choice. Let n≥1, s,t∈R, let Eσ:Hσ(Rn)→S′(Rn) be the canonical embedding of the real-order Bessel-potential completion, and let ⟨D⟩t and (I−Δ)t/2 be the distributional Fourier multipliers of Japanese-bracket and Laplacian Bessel-potential operators. For U∈Hs let g=⟨ξ⟩sF(EsU)∈L2(Rn) be its weighted Fourier class, so that ∥U∥Hs=∥g∥2 (Real-order H^s as weighted Fourier distributions). Then:

  1. The bracket operator shifts order isometrically. Φt(U):=Es−t−1(⟨D⟩tEsU),U∈Hs, defines a surjective complex-linear isometry Φt:Hs(Rn)→Hs−t(Rn) with ∥Φt(U)∥Hs−t=∥U∥Hs for every U, whose weighted Fourier class in Hs−t is again g; its inverse is Φ−t.
  2. The Laplacian operator shifts order with equivalent norms. With rt(ξ)=(1+4π2∣ξ∣21+∣ξ∣2)t/2,ct=min⁡(1,(2π)t),Ct=max⁡(1,(2π)t), the map Ψt(U):=Es−t−1((I−Δ)t/2EsU) defines a bounded complex-linear bijection Hs(Rn)→Hs−t(Rn) whose weighted Fourier class is rtg, with ct∥U∥Hs≤∥Ψt(U)∥Hs−t≤Ct∥U∥Hs(U∈Hs). For every t≠0 this map is not an isometry: there exists U∈Hs with ∥Ψt(U)∥Hs−t≠∥U∥Hs.
  3. Contractive inclusion. If s≥r, then κ(U):=Er−1(EsU) defines an injective complex-linear contraction κ:Hs(Rn)→Hr(Rn) with ∥κ(U)∥Hr≤∥U∥Hs for every U; the weighted class in Hr is ⟨ξ⟩r−sg.
  4. Derivatives lose one order. For every j∈{1,…,n} and U∈Hs+1, the distributional derivative Θj(U):=Es−1(∂jEs+1U) is well defined in Hs, the map Θj is complex-linear, its weighted class in Hs is 2πiξj⟨ξ⟩−1gs+1, where gs+1=⟨ξ⟩s+1F(Es+1U)∈L2 is the weighted Fourier class at order s+1, and ∥Θj(U)∥Hs≤2π∥U∥Hs+1.

Thus ⟨D⟩t shifts the Sobolev order exactly and isometrically, while (I−Δ)t/2 shifts it only up to the bounded factor rt, which equals 1 at ξ=0 and tends to (2π)t at high frequency; no isometry of (I−Δ)t/2 for the bracket norm is asserted when t≠0.

Facts & Assumptions

Given: Countable Choice, n≥1, s,t∈R, the completion Hs with canonical embedding Es, and the bracket ⟨ξ⟩≥1.

[A1]

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

[F1]

Eσ:Hσ→Wσ is a bijection onto the tempered distributions u with ⟨ξ⟩σFu=uG for a unique G∈L2, and then ∥U∥Hσ=∥G∥2 (Real-order H^s as weighted Fourier distributions).

[F2]

⟨D⟩t and (I−Δ)t/2 are continuous invertible Fourier multipliers on S′(Rn) with symbols ⟨ξ⟩t and at(ξ)=(1+4π2∣ξ∣2)t/2, and ⟨D⟩−t, (I−Δ)−t/2 are their inverses (Japanese-bracket and Laplacian Bessel-potential operators).

[F3]

A smooth symbol with every derivative polynomially bounded preserves S and acts on S′ by ⟨au,φ⟩=⟨u,aφ⟩ (Smooth polynomially bounded multipliers on schwartz space). For the regular distributions used below, write h=bG with G∈L2 and b such a smooth multiplier (in particular, a bracket weight or its product with a polynomial or a Laplacian weight). Then ⟨uh,φ⟩=∫G(bφ) converges and is continuous by Cauchy–Schwarz and the continuous maps S→bS↪L2 ([F5], Schwartz derivatives are integrable). It agrees on compact tests with the regular functional of Regular distribution from a locally integrable function. For another such multiplier a, ∫G(baφ)=∫(ah)φ, so auh=uah. This assertion uses weighted L2 densities, not arbitrary locally integrable functions.

[F4]

For every tempered u and multi-index α, F(Dαu)=(2πiξ)αFu in S′(Rn) (Distributional derivatives are polynomial Fourier multipliers).

[F5]

Every L2 class is locally integrable: for compact K, ∫K∣g∣≤∣K∣1/2∥g∥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]

S(Rn) is invariant under F and its inverse (Fourier transform is a topological automorphism of Schwartz space).

[F7]

A smooth compactly supported χ belongs to S, and the inclusion Cc∞(Rn)→S(Rn) is continuous; furthermore for 0<r1<r2 there is a smooth bump equal to 1 on the closed ball of radius r1 and supported in the open ball of radius r2 (Test function inclusion in schwartz space is continuous, A Euclidean bump for a compact set inside an open set).

[F8]

xu=exp⁡(ulog⁡x) for x>0 (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 x↦xu is strictly increasing for u>0 and strictly decreasing for u<0.

Proof

technique · transport the two Fourier multipliers through the canonical identifications $H^\sigma\cong\mathcal W_\sigma$ and compare the resulting frequency weights
1.1F1F2F3F5given

The bracket transfer. Let U∈Hs with class g=⟨ξ⟩sF(EsU) as in [F1] and put u:=EsU, so Fu=u⟨ξ⟩−sg by [F1] and [F3]. Since ⟨ξ⟩−sg is locally integrable by [F5], [F3] applied to the smooth symbol ⟨ξ⟩t and to the symbol ⟨ξ⟩s−t gives F(⟨D⟩tu)=⟨ξ⟩tFu=u⟨ξ⟩t−sg,⟨ξ⟩s−tF(⟨D⟩tu)=u⟨ξ⟩s−t⟨ξ⟩t−sg=ug. Hence ⟨D⟩tu∈Ws−t with weighted class g and, by [F1], ⟨D⟩tu=Es−tV for a unique V∈Hs−t with ∥V∥Hs−t=∥g∥2=∥U∥Hs. The assignment U↦V=Φt(U) is linear because Es, ⟨D⟩t and Es−t−1 are linear on their domains [F1], [F2]; it preserves the norm and is therefore injective.

1.2F8algebra

The Laplacian weight ratio. Put ρ(u)=(1+4π2u)/(1+u) for u≥0; then ρ′(u)=(4π2−1)/(1+u)2>0, so ρ is increasing with ρ(0)=1 and lim⁡u→∞ρ(u)=4π2. Writing rt(ξ)=ρ(∣ξ∣2)t/2 and using [F8], for t>0 the factor rt(ξ) is increasing in ∣ξ∣ with values in [1,(2π)t], and for t<0 it is decreasing in ∣ξ∣ with values in [(2π)t,1]; in both cases ct≤rt(ξ)≤Ct,ct=min⁡(1,(2π)t),Ct=max⁡(1,(2π)t).

1.3F1F3F5given

Contractive inclusion. Let s≥r and U∈Hs with class g=⟨ξ⟩sF(EsU)∈L2. Since ⟨ξ⟩r−s≤1 and g is locally integrable [F5], [F3] gives ⟨ξ⟩rF(EsU)=u⟨ξ⟩r−sg, and ⟨ξ⟩r−sg∈L2 with ∥⟨ξ⟩r−sg∥2≤∥g∥2. Hence EsU∈Wr, so κ(U):=Er−1(EsU) is defined, has weighted class ⟨ξ⟩r−sg, and satisfies ∥κ(U)∥Hr=∥⟨ξ⟩r−sg∥2≤∥g∥2=∥U∥Hs. The map κ is linear by [F1], and it is injective: κ(U)=0 forces ⟨ξ⟩r−sg=0 almost everywhere and hence g=0 and U=0.

1.4F1F3F4F5

Derivative bound. Let U∈Hs+1 with weighted class gs+1=⟨ξ⟩s+1F(Es+1U) and u:=Es+1U, so Fu=u⟨ξ⟩−(s+1)gs+1 and ∥U∥Hs+1=∥gs+1∥2 [F1]. By [F4], F(∂ju)=2πiξjFu, and ⟨ξ⟩−(s+1)gs+1 is locally integrable [F5], so [F3] gives F(∂ju)=u2πiξj⟨ξ⟩−(s+1)gs+1,⟨ξ⟩sF(∂ju)=u2πiξj⟨ξ⟩−1gs+1. Since ∣2πξj⟨ξ⟩−1∣≤2π, the class 2πiξj⟨ξ⟩−1gs+1 lies in L2 with ∥2πiξj⟨ξ⟩−1gs+1∥2≤2π∥gs+1∥2. Hence ∂ju∈Ws, so Θj(U):=Es−1(∂jEs+1U) is well defined, linear by [F1] and [F4], and ∥Θj(U)∥Hs=∥2πiξj⟨ξ⟩−1gs+1∥2≤2π∥gs+1∥2=2π∥U∥Hs+1, with weighted class 2πiξj⟨ξ⟩−1gs+1.

2.1F1F2F3F5step 1.1

Surjectivity and inverse of the bracket shift. Let V∈Hs−t with class h=⟨ξ⟩s−tF(Es−tV), and set g:=h; because h is locally integrable by [F5], the distribution u:=F−1(u⟨ξ⟩−sh) satisfies ⟨ξ⟩sFu=uh, so u∈Ws and u=EsU for some U∈Hs with class g=h and ∥U∥Hs=∥h∥2=∥V∥Hs−t [F1]. Since F(⟨D⟩tu)=u⟨ξ⟩t−sh and F(Es−tV)=u⟨ξ⟩t−sh by [F2], [F1] and [F3], injectivity of F on S′ [F2] gives ⟨D⟩tEsU=Es−tV, that is, Φt(U)=V. Hence Φt is surjective, and step 1.1 makes it additive, so Φt is a complex-linear bijection. Finally Φ−t(Φt(U))=Es−1⟨D⟩−tEs−tEs−t−1⟨D⟩tEsU=Es−1EsU=U by the inverse laws [F2], so Φ−t is the inverse of Φt.

2.2F1F2F3F5step 1.1step 1.2

The Laplacian transfer. Let U∈Hs with class g and u=EsU as in step 1.1. Since ⟨ξ⟩−sg is locally integrable [F5], [F3] gives F((I−Δ)t/2u)=atFu=uat⟨ξ⟩−sg,⟨ξ⟩s−tF((I−Δ)t/2u)=urtg, using at⟨ξ⟩s−t⟨ξ⟩−s=⟨ξ⟩−tat=rt. Hence (I−Δ)t/2u∈Ws−t with class rtg, so Ψt(U):=Es−t−1((I−Δ)t/2EsU) is well defined, linear by [F1] and [F2], and by [F1] and step 1.2 ct∥U∥Hs=ct∥g∥2≤∥rtg∥2=∥Ψt(U)∥Hs−t≤Ct∥g∥2=Ct∥U∥Hs. Conversely, for V∈Hs−t with class h put g:=rt−1h; step 1.2 gives ∣g∣≤ct−1∣h∣, so g∈L2, and u:=F−1(u⟨ξ⟩−sg) lies in Ws [F5], [F3]; then ⟨ξ⟩s−tF((I−Δ)t/2u)=urtg=uh, so (I−Δ)t/2u=Es−tV and Ψt is onto. Thus Ψt is a bounded complex-linear bijection with the displayed two-sided bounds.

3.1F1F3F6F7step 1.2step 2.2

The Laplacian shift is not isometric for t≠0. Fix t≠0 and choose R≥1 with rt(ξ)>1 for all ∣ξ∣≥R if t>0, respectively rt(ξ)<1 for all ∣ξ∣≥R if t<0; this is possible because rt(ξ)→(2π)t as ∣ξ∣→∞ and (2π)t>1 for t>0, (2π)t<1 for t<0, while rt is monotone in ∣ξ∣ by step 1.2. By [F7] with K={2Re1} and the open ball V=B(2Re1,R/2)⊆{∣ξ∣>R}, there is a smooth bump χ equal to 1 on K and supported in V. Thus χ≠0, and χ∈S by [F7]. Set φ:=F−1χ∈S [F6] and G:=⟨ξ⟩sχ, which lies in L2 because χ has compact support and ⟨ξ⟩s is bounded there; let U:=Es−1(uφ) be the canonical class of φ, whose weighted class is G by [F1], [F3]: ∥U∥Hs=∥G∥2>0. By step 2.2 the class of Ψt(U) is rtG, so ∥Ψt(U)∥Hs−t2=∫∣χ∣2rt2⟨ξ⟩2s dξ  {><  ∫∣χ∣2⟨ξ⟩2s dξ=∥U∥Hs2, with the strict inequality > when t>0 and < when t<0, because rt2>1 respectively rt2<1 on supp⁡χ and χ≠0 there. Hence Ψt is not an isometry for any t≠0.

4.1A1F1F2F3F4F5F6F7F8step 1.1step 2.1step 1.2step 2.2step 3.1step 1.3step 1.4∎

Conclusion. Step 1.1 and step 2.1 give the surjective isometry Φt:Hs→Hs−t with inverse Φ−t; step 1.2 and step 2.2 give the bounded bijection Ψt with the two-sided bounds; step 3.1 produces, for every t≠0, an explicit frequency-localized witness showing that Ψt is not an isometry; step 1.3 gives the contractive inclusion for s≥r; and step 1.4 gives the derivative bound with constant 2π. This proves statements 1-4 for arbitrary n≥1 and s,t∈R. Countable Choice is used exactly through the cited completion and characterization interfaces, which carry it as their hypothesis.

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Conjugate duality of H^s and H^{-s}

Statement

Assume Countable Choice and use the first-variable-linear complex inner product conventions. Let n≥1, s∈R, and let Hs=Hs(Rn) be the real-order Bessel-potential completion with canonical embedding Es:Hs→S′(Rn) (Real-order Bessel-potential completion H^s, The Bessel completion embeds canonically in tempered distributions). By Real-order H^s as weighted Fourier distributions, for u∈Hs the distributional product ⟨ξ⟩sF(Esu) is the regular distribution of a unique class g∈L2(Rn), and ∥u∥Hs=∥g∥2; likewise ⟨ξ⟩−sF(E−sv) has a unique L2 class h for v∈H−s.

The conjugate dual. A functional B:Hs→C is conjugate-linear when B(au+bw)=a‾B(u)+b‾B(w) for all u,w∈Hs and a,b∈C. It is bounded when ∥B∥:=sup⁡{∣B(u)∣:∥u∥Hs≤1}<∞. The set (Hs)† of bounded conjugate-linear functionals, with this norm, is the conjugate dual of Hs. The ordinary dual (Hs)∗ is the set of bounded complex-linear functionals with the same norm.

The pairing. For v∈H−s and u∈Hs let g,h∈L2 be as above and define Av(u)=∫Rng(ξ)‾ h(ξ) dξ. This is the L2 pairing of the weighted Fourier classes ⟨ξ⟩sF(Esu) and ⟨ξ⟩−sF(E−sv); since F(Esu)=u⟨ξ⟩−sg and F(E−sv)=u⟨ξ⟩sh are regular distributions, the integrand is the pointwise product Fu‾ Fv of their densities, so the displayed integral is what ∫RnFu(ξ)‾ Fv(ξ) dξ means.

Then:

  1. Av is a bounded conjugate-linear functional on Hs, the map v↦Av is complex-linear, and it is isometric: ∥Av∥=∥v∥H−s.
  2. v↦Av is a bijection H−s→(Hs)†.
  3. The ordinary linear dual is obtained by conjugating this pairing: with Cv(u):=Av(u)‾=∫Rng(ξ)h(ξ)‾ dξ, the map v↦Cv is a conjugate-linear isometric bijection H−s→(Hs)∗.

This pairing is the weighted L2 pairing of the two Fourier classes; it extends the L2 conjugate pairing on Schwartz tests and is not asserted as a bilinear distribution action on arbitrary pairs of elements of Hs.

Facts & Assumptions

Given: Countable Choice, n≥1, s∈R, the completion Hs and its conjugate dual (Hs)†.

[A1]

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

[F1]

For every σ∈R the canonical embedding restricts to a bijection Eσ:Hσ→Wσ onto the set of tempered distributions u for which ⟨ξ⟩σFu=uG for a unique G∈L2, with ∥U∥Hσ=∥G∥2 (Real-order H^s as weighted Fourier distributions).

[F2]

Hs is a complex Hilbert space for the first-variable-linear inner product (U,V)Hs=∫Rn(JsU)(ξ)(JsV)(ξ)‾ dξ, whose induced norm is the defining completion norm (Every real-order Bessel-potential completion is Hilbert).

[F3]

The weighted Fourier map Jσ:Hσ→L2 is a surjective linear isometry with Eσ([uj])=F−1(u⟨ξ⟩−σJσ[uj]) (The Bessel completion embeds canonically in tempered distributions).

[F4]

For a bounded linear functional B′ on a complex Hilbert space H there is a unique w∈H with B′(u)=(u,w)H for all u, and ∥B′∥=∥w∥ (Riesz representation for Hilbert spaces).

[F5]

The complex L2 pairing (f,j)↦∫fj‾ is first-variable-linear and conjugate-symmetric on classes and satisfies Cauchy–Schwarz ∣∫fj‾ ∣≤∥f∥2∥j∥2 (Complex completeness, density, and inner product: the consumer interface).

Proof

technique · transport the weighted $L^2$ pairing along the surjective Fourier isometries and conjugate the Riesz representation
1.1F1F3F5given

Well-definedness. Let u∈Hs, v∈H−s, and let g,h∈L2 be the unique classes of [F1], so g=⟨ξ⟩sF(Esu) and h=⟨ξ⟩−sF(E−sv) in the sense of that statement. By [F5] the product g‾h is integrable, ∣Av(u)∣≤∥g∥2∥h∥2, and Av(u) depends only on the classes g,h. Moreover F(Esu) and F(E−sv) are the regular distributions of ⟨ξ⟩−sg and ⟨ξ⟩sh by [F3] and [F1], and ⟨ξ⟩−sg‾  ⟨ξ⟩sh=g‾h pointwise, so the displayed integral is the density product Fu‾ Fv.

1.2F1F3F5given

Sesquilinearity. If u↦u′=λu then the class of [F1] is λg, and ∫λg‾h=λ‾Av(u); hence Av is conjugate-linear in u. If v↦av+bv′ then the class is ah+bh′ by linearity of J−s [F3], and ∫g‾(ah+bh′)=aAv(u)+bAv′(u); hence v↦Av(u) is complex-linear for each fixed u.

2.1F1F5step 1.1step 1.2

The bound. For u∈Hs and v∈H−s, Cauchy–Schwarz [F5] and the norm identities [F1] give ∣Av(u)∣≤∥g∥2∥h∥2=∥u∥Hs∥v∥H−s. Hence Av is a bounded conjugate-linear functional and ∥Av∥≤∥v∥H−s; combined with step 1.2, v↦Av maps H−s linearly into (Hs)†.

3.1F1F3F5step 2.1

Attainment and isometry. Let v≠0 and put h as above, so h≠0; set g:=h/∥h∥2∈L2 and u:=Js−1g∈Hs, which exists and has ∥u∥Hs=∥g∥2=1 by the surjective isometry property [F3], with g the class of [F1]. Then Av(u)=∫(h/∥h∥2)‾ h=∥h∥22∥h∥2=∥h∥2=∥v∥H−s. Thus ∥Av∥≥∥v∥H−s, and with step 2.1, ∥Av∥=∥v∥H−s. If v=0 then h=0, Av=0 and ∥Av∥=0=∥v∥H−s; the identity holds in all cases.

4.1step 1.2step 3.1

Injectivity. If Av=Av′ then step 1.2 gives Av−v′=Av−Av′=0, so step 3.1 yields ∥v−v′∥H−s=∥Av−v′∥=0, hence v=v′. Thus v↦Av is injective.

4.2F2F3F4step 2.1step 3.1

Surjectivity and the conjugate dual. Let B∈(Hs)† and define B′(u):=B(u)‾. Then B′ is complex-linear and ∣B′(u)∣=∣B(u)∣≤∥B∥ ∥u∥Hs, so [F4] provides a unique w∈Hs with B′(u)=(u,w)Hs for all u and ∥w∥Hs=∥B∥. Put h:=Jsw∈L2 and v:=J−s−1h∈H−s, which exists by [F3] and has ∥v∥H−s=∥h∥2=∥w∥Hs. For u∈Hs with class g=Jsu, [F2] gives (u,w)Hs=∫gh‾, so Av(u)=∫g‾h=∫gh‾‾=(u,w)Hs‾=B′(u)‾=B(u). Hence B=Av, the map is onto (Hs)†, and step 3.1 gives ∥B∥=∥v∥H−s.

5.1step 1.1step 1.2step 4.1step 4.2

The ordinary dual. Define Cv(u):=Av(u)‾. Conjugation B↦B‾(⋅) is an isometric bijection from (Hs)† onto (Hs)∗, because it exchanges conjugate-linear and complex-linear functionals and preserves ∣ ⋅ ∣ pointwise; composing with the bijection v↦Av of steps 4.1 and 4.2, the map v↦Cv is an isometric bijection H−s→(Hs)∗. It is conjugate-linear in v: by step 1.2, Cav+bv′(u)=aAv(u)+bAv′(u)‾=a‾ Cv(u)+b‾ Cv′(u). By the definition of Av in the Statement, Cv(u)=∫gh‾, so Cv is the weighted Fourier pairing of u with v.

6.1A1step 1.1step 1.2step 3.1step 4.1step 4.2step 5.1∎

Conclusion. Step 1.1 and step 1.2 establish well-definedness and sesquilinearity; step 3.1 gives ∥Av∥=∥v∥H−s; steps 4.1 and 4.2 make v↦Av a bijection onto the conjugate dual; and step 5.1 transfers this to the ordinary dual with the conjugate-linear isometric dependence. This proves statements 1-3 for arbitrary n≥1 and s∈R. Countable Choice is the stated hypothesis [A1], used through the cited completion, characterization, and Riesz interfaces in those steps.

5 · Examples, counterexamples and false statements

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