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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.

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