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Definitions for Stochastic processes induced by singular operators

Definition
QAlgorithms_Papers_Independent_Intakethird100_P38

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

The objects the formalized statements of Stochastic processes induced by singular operators (arXiv:1109.5273) are stated in. Each was checked against the paper by a blind read-back and a moderator.

  • SpectralDomain: Euclidean R^n with its Euclidean norm and ordinary Lebesgue volume.
  • ComplexTest: Complex Schwartz functions, with Mathlib's full Schwartz Fréchet topology.
  • RealTest: Real Schwartz functions, with their Schwartz Fréchet topology.
  • Omega: The continuous REAL tempered dual, not the algebraic dual.
  • paperFourier: The unnormalized Fourier integral of (1.2), p.3.
  • decayWeight: The positive weight in (1.1), including p=0.
  • weightedMass: Extended weighted mass: divergence is infinity, never Bochner's default zero.
  • InC: The regular positive Borel spectral measures C of (1.1) and Definition 3.1.
  • fourierEnergy: The spectral quadratic integral, defined before any finiteness assertion.
  • spectralQ: The real-valued quadratic form; used with explicit finiteness or InC.
  • realFunction: Include a real test function in the complex-valued functions.
  • spectralPairing: The source's covariance, linear in ψ and conjugate-linear in φ.
  • PositiveQuadratic: All three axioms (3.1)--(3.3), not nonnegativity alone.
  • testTranslation: U_t ψ(x)=ψ(x-t), equation (3.4).
  • L2: Actual complex L2 classes for a measure, including the zero measure.
  • l2Class: Total L2 packaging. Every use on a paper test is justified by InC or a conclusion asserting MemLp; the fallback is never used as an integrability test.
  • fourierClass: Fourier inclusion into the spectral L2 space.
  • factorFromW: Equation (3.7) after cancellation of its two reciprocal weights.
  • HilbertFactor: Equation (3.6), with Mathlib's inner-product slots reversed to match the source.
  • spectralCompletion: A concrete model of the separated spectral completion: close the Fourier image in L2(σ). Taking the span is harmless because that image is linear on InC.
  • spectralVector: The canonical image of a test in its separated spectral completion.
  • LocallyTotalExponentials: Local totality means density of the COMPLEX LINEAR SPAN of exponentials.
  • Closable: Definition 4.1, with the ambient norm from L2(dx) and two independent tail indices.
  • CharacteristicLaw: A law is specified by its real characteristic functional, not complex mixed covariances. The finite-energy clause makes conversion to real numbers explicit.
  • AntiDual: Continuous anti-duals express the source's distribution paired against a conjugated test. This keeps the first-slot linear source convention explicit.
  • spectralDistribution: The distribution specified by the spectral pairing itself. Its representing continuous functional exists on InC; that assertion remains a theorem conclusion.
  • adjointProduct: The actual distributional adjoint product, computed from Q, without a kernel hypothesis.
  • covarianceKernel: The covariance kernel of §6 as scalar multiplication operators, for RKHS.OfKernel.
  • lawFourier: Formula (6.1), on the full complex L2 probability space.
  • distributionShift: θ_t ω=ω(·-t) as a distribution: θ_t ω(ψ)=ω(ψ(·+t)).
  • KoopmanFamily: Full complex L2 unitaries, including the constants.
  • IsKoopman: Measure preservation, group law, and actual pullback on ae classes.
  • ShiftErgodic: Ergodicity for the whole translation group, using measurable sets invariant modulo null sets.
  • TrivialPointSpectrum: No nonzero joint frequency, AND the zero eigenspace consists exactly of constants. For a probability law the constants form a one-dimensional complex space.
  • InCb: Definition (11.1): q and C are chosen before the arbitrary translation v.
  • measureConvolution: Extended-valued convolution; the output is not assumed locally finite.
  • point1: Identify R with one-dimensional Euclidean space without changing Lebesgue normalization.
  • diracComb: The integer Dirac comb, as a genuine measure.
  • SequenceL2: ℓ²(Z), modeled as L2 of counting measure.
  • combSamples: Integer Fourier samples; square summability remains part of Proposition 12.1.
  • periodization: The periodization sum from (12.2); the adjoint product has an extra factor 2π.
Definition code
import Mathlib

/-!
Statements from Alpay--Jorgensen, arXiv:1109.5273v1.
All paper-specific definitions are local. Fourier transforms use exp(-i u.x),
ordinary Lebesgue measure, and no normalization factor. Source corrections and
source-ambiguous deferrals are recorded in the unit's moderation notes and HARD.md.
-/

noncomputable section

namespace QAlgorithms.Papers.Independent.Intakethird100.P38

open MeasureTheory Filter
open scoped Topology ComplexConjugate ENNReal

/-- Euclidean R^n with its Euclidean norm and ordinary Lebesgue volume. -/
abbrev SpectralDomain (n : ℕ) := EuclideanSpace ℝ (Fin n)

/-- Complex Schwartz functions, with Mathlib's full Schwartz Fréchet topology. -/
abbrev ComplexTest (n : ℕ) := SchwartzMap (SpectralDomain n) ℂ

/-- Real Schwartz functions, with their Schwartz Fréchet topology. -/
abbrev RealTest (n : ℕ) := SchwartzMap (SpectralDomain n) ℝ

/-- The continuous REAL tempered dual, not the algebraic dual. -/
abbrev Omega (n : ℕ) := RealTest n →L[ℝ] ℝ

/-- The evaluation sigma-algebra on the real tempered dual (§1(d), p.3). -/
instance omegaMeasurableSpace (n : ℕ) : MeasurableSpace (Omega n) :=
  ⨆ ψ : RealTest n, MeasurableSpace.comap (fun ω : Omega n => ω ψ) (borel ℝ)

/-- The unnormalized Fourier integral of (1.2), p.3. -/
def paperFourier {n : ℕ} (f : SpectralDomain n → ℂ) (u : SpectralDomain n) : ℂ :=
  ∫ x, Complex.exp (-(Complex.I * (inner ℝ u x : ℂ))) * f x

/-- The positive weight in (1.1), including p=0. -/
def decayWeight {n : ℕ} (p : ℕ) (u : SpectralDomain n) : ℝ :=
  1 / (1 + ‖u‖ ^ 2) ^ p

/-- Extended weighted mass: divergence is infinity, never Bochner's default zero. -/
def weightedMass {n : ℕ} (σ : Measure (SpectralDomain n)) (p : ℕ) : ℝ≥0∞ :=
  ∫⁻ u, ENNReal.ofReal (decayWeight p u) ∂σ

/-- The regular positive Borel spectral measures C of (1.1) and Definition 3.1. -/
def InC {n : ℕ} (σ : Measure (SpectralDomain n)) : Prop :=
  σ.Regular ∧ ∃ p : ℕ, weightedMass σ p < ⊤

/-- The spectral quadratic integral, defined before any finiteness assertion. -/
def fourierEnergy {n : ℕ} (σ : Measure (SpectralDomain n)) (f : SpectralDomain n → ℂ) : ℝ≥0∞ :=
  ∫⁻ u, ENNReal.ofReal (‖paperFourier f u‖ ^ 2) ∂σ

/-- The real-valued quadratic form; used with explicit finiteness or InC. -/
def spectralQ {n : ℕ} (σ : Measure (SpectralDomain n)) (ψ : ComplexTest n) : ℝ :=
  (fourierEnergy σ ψ).toReal

/-- Include a real test function in the complex-valued functions. -/
def realFunction {n : ℕ} (ψ : RealTest n) : SpectralDomain n → ℂ :=
  fun x => (ψ x : ℂ)

/-- The source's covariance, linear in ψ and conjugate-linear in φ. -/
def spectralPairing {n : ℕ} (σ : Measure (SpectralDomain n)) (ψ φ : ComplexTest n) : ℂ :=
  ∫ u, paperFourier ψ u * conj (paperFourier φ u) ∂σ

/-- All three axioms (3.1)--(3.3), not nonnegativity alone. -/
def PositiveQuadratic {n : ℕ} (q : ComplexTest n → ℝ) : Prop :=
  (∀ ψ, 0 ≤ q ψ) ∧
  (∀ (c : ℂ) ψ, q (c • ψ) = ‖c‖ ^ 2 * q ψ) ∧
  (∀ ψ φ, q (ψ + φ) + q (ψ - φ) = 2 * (q ψ + q φ))

/-- U_t ψ(x)=ψ(x-t), equation (3.4). -/
def testTranslation {n : ℕ} (t : SpectralDomain n) : ComplexTest n →L[ℂ] ComplexTest n :=
  SchwartzMap.compSubConstCLM ℂ t

/-- Actual complex L2 classes for a measure, including the zero measure. -/
abbrev L2 {n : ℕ} (σ : Measure (SpectralDomain n)) := MeasureTheory.Lp ℂ 2 σ

/-- Total L2 packaging. Every use on a paper test is justified by InC or a
conclusion asserting MemLp; the fallback is never used as an integrability test. -/
def l2Class {α : Type*} [MeasurableSpace α] (μ : Measure α) (f : α → ℂ) :
    MeasureTheory.Lp ℂ 2 μ := by
  classical
  exact if h : MemLp f 2 μ then h.toLp f else 0

/-- Fourier inclusion into the spectral L2 space. -/
def fourierClass {n : ℕ} (σ : Measure (SpectralDomain n)) (ψ : ComplexTest n) : L2 σ :=
  l2Class σ (paperFourier ψ)

/-- Equation (3.7) after cancellation of its two reciprocal weights. -/
def factorFromW {n : ℕ} {σ : Measure (SpectralDomain n)}
    (W : L2 σ ≃ₗᵢ[ℂ] L2 (volume : Measure (SpectralDomain n))) (ψ : ComplexTest n) :=
  W (fourierClass σ ψ)

/-- Equation (3.6), with Mathlib's inner-product slots reversed to match the source. -/
def HilbertFactor {n : ℕ} (σ : Measure (SpectralDomain n))
    (Q : ComplexTest n →L[ℂ] L2 (volume : Measure (SpectralDomain n))) : Prop :=
  ∀ ψ φ, inner ℂ (Q φ) (Q ψ) = spectralPairing σ ψ φ

/-- A concrete model of the separated spectral completion: close the Fourier image
in L2(σ). Taking the span is harmless because that image is linear on InC. -/
def spectralCompletion {n : ℕ} (σ : Measure (SpectralDomain n)) : Submodule ℂ (L2 σ) :=
  (Submodule.span ℂ (Set.range (fourierClass σ))).topologicalClosure

/-- The canonical image of a test in its separated spectral completion. -/
def spectralVector {n : ℕ} (σ : Measure (SpectralDomain n)) (ψ : ComplexTest n) :
    spectralCompletion σ :=
  ⟨fourierClass σ ψ,
    (Submodule.le_topologicalClosure _)
      (Submodule.subset_span (Set.mem_range_self ψ))⟩

/-- Local totality means density of the COMPLEX LINEAR SPAN of exponentials. -/
def LocallyTotalExponentials {n : ℕ} (σ : Measure (SpectralDomain n)) : Prop :=
  ∀ K : Set (SpectralDomain n), IsCompact K →
    Dense ((Submodule.span ℂ (Set.range (fun t : SpectralDomain n =>
      l2Class (σ.restrict K) (fun u => Complex.exp (Complex.I * (inner ℝ t u : ℂ)))))) :
      Set (L2 (σ.restrict K)))

/-- Definition 4.1, with the ambient norm from L2(dx) and two independent tail indices. -/
def Closable {n : ℕ} (q : ComplexTest n → ℝ) : Prop :=
  ∀ s : ℕ → ComplexTest n,
    Tendsto (fun k => ‖l2Class (volume : Measure (SpectralDomain n)) (s k)‖) atTop (𝓝 0) →
    (∀ ε : ℝ, 0 < ε → ∃ N : ℕ, ∀ k ≥ N, ∀ l ≥ N, q (s k - s l) < ε) →
    Tendsto (fun k => q (s k)) atTop (𝓝 0)

/-- A law is specified by its real characteristic functional, not complex mixed
covariances. The finite-energy clause makes conversion to real numbers explicit. -/
def CharacteristicLaw {n : ℕ} (σ : Measure (SpectralDomain n)) (μ : Measure (Omega n)) : Prop :=
  IsProbabilityMeasure μ ∧ ∀ ψ : RealTest n,
    fourierEnergy σ (realFunction ψ) < ⊤ ∧
    (∫ ω, Complex.exp (Complex.I * (ω ψ : ℂ)) ∂μ) =
      Complex.exp (((-(fourierEnergy σ (realFunction ψ)).toReal / 2 : ℝ) : ℂ))

/-- Continuous anti-duals express the source's distribution paired against a
conjugated test. This keeps the first-slot linear source convention explicit. -/
abbrev AntiDual (n : ℕ) := ComplexTest n →L⋆[ℂ] ℂ

/-- The distribution specified by the spectral pairing itself. Its representing
continuous functional exists on InC; that assertion remains a theorem conclusion. -/
def spectralDistribution {n : ℕ} (σ : Measure (SpectralDomain n)) (ψ : ComplexTest n) : AntiDual n := by
  classical
  exact if h : ∃ T : AntiDual n, ∀ φ, T φ = spectralPairing σ ψ φ then h.choose else 0

/-- The actual distributional adjoint product, computed from Q, without a kernel hypothesis. -/
def adjointProduct {n : ℕ}
    (Q : ComplexTest n →L[ℂ] L2 (volume : Measure (SpectralDomain n))) (ψ : ComplexTest n) : AntiDual n :=
  (innerSLFlip ℂ (Q ψ)).comp Q

/-- The covariance kernel of §6 as scalar multiplication operators, for RKHS.OfKernel. -/
def covarianceKernel {n : ℕ} (σ : Measure (SpectralDomain n)) :
    Matrix (RealTest n) (RealTest n) (ℂ →L[ℂ] ℂ) :=
  fun ψ φ =>
    (Complex.exp (((-(fourierEnergy σ (realFunction (ψ - φ))).toReal / 2 : ℝ) : ℂ))) •
      ContinuousLinearMap.id ℂ ℂ

/-- Formula (6.1), on the full complex L2 probability space. -/
def lawFourier {n : ℕ} (μ : Measure (Omega n))
    (f : MeasureTheory.Lp ℂ 2 μ) (ψ : RealTest n) : ℂ :=
  ∫ ω, Complex.exp (-(Complex.I * (ω ψ : ℂ))) * f ω ∂μ

/-- θ_t ω=ω(·-t) as a distribution: θ_t ω(ψ)=ω(ψ(·+t)). -/
def distributionShift {n : ℕ} (t : SpectralDomain n) (ω : Omega n) : Omega n :=
  ω.comp (SchwartzMap.compSubConstCLM ℝ (-t))

/-- Full complex L2 unitaries, including the constants. -/
abbrev KoopmanFamily {n : ℕ} (μ : Measure (Omega n)) :=
  SpectralDomain n → (MeasureTheory.Lp ℂ 2 μ ≃ₗᵢ[ℂ] MeasureTheory.Lp ℂ 2 μ)

/-- Measure preservation, group law, and actual pullback on ae classes. -/
def IsKoopman {n : ℕ} (μ : Measure (Omega n)) (U : KoopmanFamily μ) : Prop :=
  (∀ t, MeasurePreserving (distributionShift t) μ μ) ∧
  U 0 = LinearIsometryEquiv.refl ℂ _ ∧
  (∀ t s, U (t + s) = (U t).trans (U s)) ∧
  ∀ t f, (fun ω => (U t f) ω) =ᵐ[μ] (fun ω => f (distributionShift t ω))

/-- Ergodicity for the whole translation group, using measurable sets invariant modulo null sets. -/
def ShiftErgodic {n : ℕ} (μ : Measure (Omega n)) : Prop :=
  ∀ A : Set (Omega n), MeasurableSet A →
    (∀ t : SpectralDomain n, ∀ᵐ ω ∂μ, (distributionShift t ω ∈ A ↔ ω ∈ A)) →
    μ A = 0 ∨ μ A = 1

/-- No nonzero joint frequency, AND the zero eigenspace consists exactly of constants.
For a probability law the constants form a one-dimensional complex space. -/
def TrivialPointSpectrum {n : ℕ} (μ : Measure (Omega n)) (U : KoopmanFamily μ) : Prop :=
  (∀ (a : SpectralDomain n) (f : MeasureTheory.Lp ℂ 2 μ), f ≠ 0 →
    (∀ t, U t f = Complex.exp (Complex.I * (inner ℝ a t : ℂ)) • f) → a = 0) ∧
  (∀ f : MeasureTheory.Lp ℂ 2 μ,
    (∀ t, U t f = f) ↔ ∃ c : ℂ, f = l2Class μ (fun _ => c))

/-- Definition (11.1): q and C are chosen before the arbitrary translation v. -/
def InCb {n : ℕ} (σ : Measure (SpectralDomain n)) : Prop :=
  σ.Regular ∧ ∀ p : ℕ, 1 ≤ p → ∃ q : ℕ, 1 ≤ q ∧ ∃ C : ℝ, 0 < C ∧
    ∀ v : SpectralDomain n,
      (∫⁻ u, ENNReal.ofReal (decayWeight q (u + v)) ∂σ) ≤
        ENNReal.ofReal (C * decayWeight p v)

/-- Extended-valued convolution; the output is not assumed locally finite. -/
def measureConvolution {n : ℕ} (σ τ : Measure (SpectralDomain n)) : Measure (SpectralDomain n) :=
  Measure.map (fun uv : SpectralDomain n × SpectralDomain n => uv.1 + uv.2) (σ.prod τ)

/-- Identify R with one-dimensional Euclidean space without changing Lebesgue normalization. -/
def point1 (x : ℝ) : SpectralDomain 1 :=
  WithLp.toLp 2 (fun _ : Fin 1 => x)

/-- The integer Dirac comb, as a genuine measure. -/
def diracComb : Measure (SpectralDomain 1) :=
  Measure.sum (fun m : ℤ => Measure.dirac (point1 (m : ℝ)))

/-- ℓ²(Z), modeled as L2 of counting measure. -/
abbrev SequenceL2 := MeasureTheory.Lp ℂ 2 (Measure.count : Measure ℤ)

/-- Integer Fourier samples; square summability remains part of Proposition 12.1. -/
def combSamples (ψ : ComplexTest 1) (m : ℤ) : ℂ :=
  paperFourier ψ (point1 (m : ℝ))

/-- The periodization sum from (12.2); the adjoint product has an extra factor 2π. -/
def periodization (ψ : ComplexTest 1) (x : SpectralDomain 1) : ℂ :=
  ∑' m : ℤ, ψ (x + point1 (2 * Real.pi * (m : ℝ)))

/-! Sanity examples pin complete definition bodies; no definition uses sorry. -/

example (x : ℝ) : point1 x 0 = x := rfl

example {n : ℕ} (u : SpectralDomain n) : paperFourier (fun _ : SpectralDomain n => (0 : ℂ)) u = 0 := by
  simp [paperFourier]

example {n : ℕ} (σ : Measure (SpectralDomain n)) :
    fourierEnergy σ (fun _ => (0 : ℂ)) = 0 := by
  simp [fourierEnergy, paperFourier]

example {n : ℕ} (u : SpectralDomain n) : decayWeight 0 u = 1 := by
  simp [decayWeight]

example {n : ℕ} (p : ℕ) : weightedMass (0 : Measure (SpectralDomain n)) p = 0 := by
  simp [weightedMass]

example {n : ℕ} (ψ φ : ComplexTest n) : spectralPairing (0 : Measure (SpectralDomain n)) ψ φ = 0 := by
  simp [spectralPairing]

example {n : ℕ} (ψ : ComplexTest n) : spectralDistribution (0 : Measure (SpectralDomain n)) ψ = 0 := by
  classical
  have h : ∃ T : AntiDual n, ∀ φ, T φ = spectralPairing (0 : Measure (SpectralDomain n)) ψ φ := by
    refine ⟨0, ?_⟩
    intro φ
    simp [spectralPairing]
  unfold spectralDistribution
  rw [dif_pos h]
  ext φ
  simpa [spectralPairing] using h.choose_spec φ

example {n : ℕ} (t x : SpectralDomain n) (ψ : ComplexTest n) : testTranslation t ψ x = ψ (x - t) := rfl

example {n : ℕ} (σ : Measure (SpectralDomain n)) (ψ : ComplexTest n) :
    (spectralVector σ ψ : L2 σ) = fourierClass σ ψ := rfl

example {n : ℕ} (ψ : RealTest n) (t : SpectralDomain n) (ω : Omega n) :
    distributionShift t ω ψ = ω (SchwartzMap.compSubConstCLM ℝ (-t) ψ) := rfl

example {n : ℕ} (Q : ComplexTest n →L[ℂ] L2 (volume : Measure (SpectralDomain n))) (ψ φ : ComplexTest n) :
    adjointProduct Q ψ φ = inner ℂ (Q φ) (Q ψ) := rfl

example {n : ℕ} (σ : Measure (SpectralDomain n)) (ψ : RealTest n) :
    covarianceKernel σ ψ ψ = ContinuousLinearMap.id ℂ ℂ := by
  simp [covarianceKernel, realFunction, fourierEnergy, paperFourier]

example (ψ : ComplexTest 1) (m : ℤ) : combSamples ψ m = paperFourier ψ (point1 (m : ℝ)) := rfl

example (ψ : ComplexTest 1) (x : SpectralDomain 1) :
    periodization ψ x = ∑' m : ℤ, ψ (x + point1 (2 * Real.pi * (m : ℝ))) := rfl

end QAlgorithms.Papers.Independent.Intakethird100.P38
Source
Stochastic processes induced by singular operators, arXiv:1109.5273v1, https://arxiv.org/abs/1109.5273v1
Read-back

What the Lean code literally says, in plain math · gpt-6.1-sol

QAlgorithms.Papers.Independent.Intakethird100.P38.AntiDual

For every natural number nnn, including 000, AntiDual⁡(n)\operatorname{AntiDual}(n)AntiDual(n) is the space of continuous conjugate-linear maps from the complex-valued Schwartz functions on Euclidean Rn\mathbb R^nRn to C\mathbb CC. Thus an element TTT is continuous in the Schwartz topology and satisfies T(cψ+dϕ)=c‾ T(ψ)+d‾ T(ϕ)T(c\psi+d\phi)=\overline c\,T(\psi)+\overline d\,T(\phi)T(cψ+dϕ)=cT(ψ)+dT(ϕ) for all complex scalars c,dc,dc,d and all complex-valued Schwartz functions ψ,ϕ\psi,\phiψ,ϕ.

QAlgorithms.Papers.Independent.Intakethird100.P38.CharacteristicLaw

For any natural number nnn, including 000, let σ\sigmaσ be a measure on Euclidean Rn\mathbb R^nRn, and let μ\muμ be a measure on the space Ω\OmegaΩ of continuous real-linear functionals on real-valued Schwartz functions on Rn\mathbb R^nRn, equipped with the sigma-algebra generated by the evaluations ω↦ω(ψ)\omega\mapsto\omega(\psi)ω↦ω(ψ). The property CharacteristicLaw⁡(σ,μ)\operatorname{CharacteristicLaw}(\sigma,\mu)CharacteristicLaw(σ,μ) means that μ\muμ is a probability measure and, for every real-valued Schwartz function ψ\psiψ, the extended nonnegative integral

Eσ(ψ)=∫Rn∣∫Rne−i u⋅xψ(x) dx∣2 dσ(u)E_\sigma(\psi)=\int_{\mathbb R^n}\left|\int_{\mathbb R^n}e^{-i\,u\cdot x}\psi(x)\,dx\right|^2\,d\sigma(u)Eσ​(ψ)=∫Rn​​∫Rn​e−iu⋅xψ(x)dx​2dσ(u)

is finite and satisfies

∫Ωeiω(ψ) dμ(ω)=e−Eσ(ψ)/2.\int_\Omega e^{i\omega(\psi)}\,d\mu(\omega)=e^{-E_\sigma(\psi)/2}.∫Ω​eiω(ψ)dμ(ω)=e−Eσ​(ψ)/2.

Here dxdxdx is Lebesgue measure, ψ\psiψ is regarded as complex-valued inside the Fourier integral, and the finite energy on the right is regarded as a real number.

QAlgorithms.Papers.Independent.Intakethird100.P38.Closable

For every natural number nnn, including 000, and every function qqq from the complex-valued Schwartz functions on Rn\mathbb R^nRn to R\mathbb RR, this defines the following property: for every sequence (sk)k∈N(s_k)_{k\in\mathbb N}(sk​)k∈N​ of such Schwartz functions, if

∥vk∥L2(dx)⟶0\|v_k\|_{L^2(dx)}\longrightarrow 0∥vk​∥L2(dx)​⟶0

and

∀ε>0  ∃N∈N  ∀k≥N  ∀l≥N,q(sk−sl)<ε,\forall\varepsilon>0\;\exists N\in\mathbb N\;\forall k\ge N\;\forall l\ge N, \qquad q(s_k-s_l)<\varepsilon,∀ε>0∃N∈N∀k≥N∀l≥N,q(sk​−sl​)<ε,

then q(sk)→0q(s_k)\to0q(sk​)→0 in R\mathbb RR as k→∞k\to\inftyk→∞. Here dxdxdx is Lebesgue measure, and vkv_kvk​ is the L2(dx)L^2(dx)L2(dx) equivalence class of sks_ksk​ if it is almost everywhere strongly measurable and square-integrable, or the zero vector otherwise. The difference sk−sls_k-s_lsk​−sl​ is pointwise, and the quantifiers include k=lk=lk=l. No positivity, quadratic identity, or continuity assumption on qqq is included; the displayed bound is the strict one-sided inequality q(sk−sl)<εq(s_k-s_l)<\varepsilonq(sk​−sl​)<ε, without an absolute value.

QAlgorithms.Papers.Independent.Intakethird100.P38.ComplexTest

For each natural number nnn, including n=0n=0n=0, the complex test space is the space S(Rn;C)\mathcal S(\mathbb R^n;\mathbb C)S(Rn;C) of complex-valued Schwartz functions on real Euclidean nnn-space: smooth functions whose derivatives of every order decrease rapidly. For n=0n=0n=0, the domain is a single point.

QAlgorithms.Papers.Independent.Intakethird100.P38.HilbertFactor

For every natural number nnn, including 000, every measure σ\sigmaσ on Rn\mathbb R^nRn, and every continuous complex-linear map QQQ from the complex-valued Schwartz functions on Rn\mathbb R^nRn to L2(Rn,dx;C)L^2(\mathbb R^n,dx;\mathbb C)L2(Rn,dx;C), this defines the property that, for every pair of Schwartz functions ψ,ϕ\psi,\phiψ,ϕ,

⟨Qϕ,Qψ⟩L2(dx)=∫Rnψ^(u) ϕ^(u)‾ dσ(u),f^(u)=∫Rne−i⟨u,x⟩f(x) dx.\langle Q\phi,Q\psi\rangle_{L^2(dx)} =\int_{\mathbb R^n}\widehat\psi(u)\,\overline{\widehat\phi(u)}\,d\sigma(u), \qquad \widehat f(u)=\int_{\mathbb R^n}e^{-i\langle u,x\rangle}f(x)\,dx.⟨Qϕ,Qψ⟩L2(dx)​=∫Rn​ψ​(u)ϕ​(u)​dσ(u),f​(u)=∫Rn​e−i⟨u,x⟩f(x)dx.

The L2L^2L2 inner product is conjugate-linear in its first argument and linear in its second, so its left side is ∫Qϕ(x)‾ Qψ(x) dx\int\overline{Q\phi(x)}\,Q\psi(x)\,dx∫Qϕ(x)​Qψ(x)dx. The inner product inside the Fourier exponential is the real Euclidean inner product, and dxdxdx is Lebesgue measure. No regularity or finiteness assumption on σ\sigmaσ is included; the integral on the right is defined as 000 if its integrand is not Bochner integrable.

QAlgorithms.Papers.Independent.Intakethird100.P38.InC

For every natural number nnn, including n=0n=0n=0, and every measure σ\sigmaσ on Rn\mathbb R^nRn, the predicate InC⁡(σ)\operatorname{InC}(\sigma)InC(σ) means that σ\sigmaσ is regular and that there exists a natural number ppp such that ∫Rn−(1+∥u∥2)−p dσ(u)<+∞\int_{\mathbb R^n}^{-}(1+\|u\|^2)^{-p}\,d\sigma(u)<+\infty∫Rn−​(1+∥u∥2)−pdσ(u)<+∞. The exponent p=0p=0p=0 is permitted, in which case this finiteness condition is finiteness of the total mass. For n=0n=0n=0, the domain is a single point and every weight in this condition is 111.

QAlgorithms.Papers.Independent.Intakethird100.P38.InCb

For any natural number nnn, including 000, and any measure σ\sigmaσ on Euclidean Rn\mathbb R^nRn, the property InCb⁡(σ)\operatorname{InCb}(\sigma)InCb(σ) means that σ\sigmaσ is regular and that, for every natural number p≥1p\ge1p≥1, there exist a natural number q≥1q\ge1q≥1 and a real constant C>0C>0C>0 such that, for every v∈Rnv\in\mathbb R^nv∈Rn,

∫Rn1(1+∥u+v∥2)q dσ(u) ≤ C(1+∥v∥2)p.\int_{\mathbb R^n}\frac{1}{(1+\|u+v\|^2)^q}\,d\sigma(u) \ \le\ \frac{C}{(1+\|v\|^2)^p}.∫Rn​(1+∥u+v∥2)q1​dσ(u) ≤ (1+∥v∥2)pC​.

This is an inequality in the extended nonnegative reals: the left side is the nonnegative Lebesgue integral, and the right side is the displayed nonnegative real embedded into that space. The choices q,Cq,Cq,C may depend on ppp but must work for all vvv; there is no requirement for p=0p=0p=0.

QAlgorithms.Papers.Independent.Intakethird100.P38.IsKoopman

For any natural number nnn, including 000, let Ω\OmegaΩ be the space of continuous real-linear functionals on the real Schwartz space over Euclidean Rn\mathbb R^nRn, equipped with its evaluation-generated sigma-algebra; let μ\muμ be any measure on Ω\OmegaΩ; and let UtU_tUt​, for each t∈Rnt\in\mathbb R^nt∈Rn, be a bijective complex-linear isometry of L2(Ω,μ;C)L^2(\Omega,\mu;\mathbb C)L2(Ω,μ;C). Define StωS_t\omegaSt​ω by (Stω)(ψ)=ω(x↦ψ(x+t))(S_t\omega)(\psi)=\omega(x\mapsto\psi(x+t))(St​ω)(ψ)=ω(x↦ψ(x+t)). The property IsKoopman⁡(μ,U)\operatorname{IsKoopman}(\mu,U)IsKoopman(μ,U) requires that every StS_tSt​ is measurable and preserves μ\muμ, that U0U_0U0​ is the identity, that Ut+s=Us∘UtU_{t+s}=U_s\circ U_tUt+s​=Us​∘Ut​ for every t,s∈Rnt,s\in\mathbb R^nt,s∈Rn, and that, for every t∈Rnt\in\mathbb R^nt∈Rn and every f∈L2(Ω,μ;C)f\in L^2(\Omega,\mu;\mathbb C)f∈L2(Ω,μ;C),

(Utf)(ω)=f(Stω)for μ-almost every ω.(U_tf)(\omega)=f(S_t\omega)\qquad\text{for }\mu\text{-almost every }\omega.(Ut​f)(ω)=f(St​ω)for μ-almost every ω.

The exceptional null set may depend on ttt and fff; no probability assumption on μ\muμ is included.

QAlgorithms.Papers.Independent.Intakethird100.P38.KoopmanFamily

For any natural number nnn, including 000, let Ω\OmegaΩ be the space of continuous real-linear functionals on real-valued Schwartz functions on Euclidean Rn\mathbb R^nRn, with its evaluation-generated sigma-algebra, and let μ\muμ be any measure on Ω\OmegaΩ. A KoopmanFamily⁡(μ)\operatorname{KoopmanFamily}(\mu)KoopmanFamily(μ) is an arbitrary function assigning to each t∈Rnt\in\mathbb R^nt∈Rn a bijective complex-linear isometry UtU_tUt​ of L2(Ω,μ;C)L^2(\Omega,\mu;\mathbb C)L2(Ω,μ;C) onto itself. This type imposes no continuity, group law, or relationship to translations on the assignment t↦Utt\mapsto U_tt↦Ut​.

QAlgorithms.Papers.Independent.Intakethird100.P38.L2

For every natural number nnn, including 000, and every measure σ\sigmaσ on the Euclidean space Rn\mathbb R^nRn, this is an abbreviation for L2(Rn,σ;C)L^2(\mathbb R^n,\sigma;\mathbb C)L2(Rn,σ;C): the space of equivalence classes, modulo equality σ\sigmaσ-almost everywhere, of almost everywhere strongly measurable complex-valued functions fff satisfying

∫Rn∣f(u)∣2 dσ(u)<∞.\int_{\mathbb R^n}|f(u)|^2\,d\sigma(u)<\infty.∫Rn​∣f(u)∣2dσ(u)<∞.

No finiteness, regularity, or σ\sigmaσ-finiteness assumption on the measure is required.

QAlgorithms.Papers.Independent.Intakethird100.P38.LocallyTotalExponentials

For every natural number nnn, including 000, and every measure σ\sigmaσ on Rn\mathbb R^nRn, this defines the property that, for every compact set K⊆RnK\subseteq\mathbb R^nK⊆Rn, the complex linear span of the vectors vK,tv_{K,t}vK,t​, indexed by all t∈Rnt\in\mathbb R^nt∈Rn, is dense in L2(Rn,σ∣K;C)L^2(\mathbb R^n,\sigma|_K;\mathbb C)L2(Rn,σ∣K​;C). Here σ∣K\sigma|_Kσ∣K​ is the restriction of σ\sigmaσ to KKK, and vK,tv_{K,t}vK,t​ is the almost-everywhere equivalence class of

u⟼ei⟨t,u⟩u\longmapsto e^{i\langle t,u\rangle}u⟼ei⟨t,u⟩

if that function is almost everywhere strongly measurable and square-integrable for σ∣K\sigma|_Kσ∣K​, and is zero otherwise; ⟨t,u⟩\langle t,u\rangle⟨t,u⟩ is the real Euclidean inner product. Density is in the L2L^2L2 norm. The empty compact set is included and gives the zero L2L^2L2 space. No assumption that compact sets have finite measure is imposed: if σ(K)=∞\sigma(K)=\inftyσ(K)=∞, every vK,tv_{K,t}vK,t​ is zero because the exponential has modulus 111, so the required density for that KKK means that L2(σ∣K)L^2(\sigma|_K)L2(σ∣K​) is the zero space.

QAlgorithms.Papers.Independent.Intakethird100.P38.Omega

For each natural number nnn, including n=0n=0n=0, Ω(n)\Omega(n)Ω(n) is the space of continuous real-linear maps from the real Schwartz space S(Rn;R)\mathcal S(\mathbb R^n;\mathbb R)S(Rn;R), equipped with its Schwartz topology, to R\mathbb RR. Thus an element ω\omegaω assigns a real number ω(ψ)\omega(\psi)ω(ψ) to every real-valued Schwartz function ψ\psiψ, continuously and real-linearly. When n=0n=0n=0, the test functions have a one-point domain.

QAlgorithms.Papers.Independent.Intakethird100.P38.PositiveQuadratic

For every natural number nnn, including 000, and every function qqq from the complex-valued Schwartz functions on Rn\mathbb R^nRn to R\mathbb RR, this defines a property requiring all three conditions

q(ψ)≥0for every ψ,q(cψ)=∣c∣2q(ψ)for every c∈C and every ψ,q(ψ+ϕ)+q(ψ−ϕ)=2(q(ψ)+q(ϕ))for every ψ,ϕ.\begin{aligned} &q(\psi)\ge 0 &&\text{for every }\psi,\\ &q(c\psi)=|c|^2q(\psi) &&\text{for every }c\in\mathbb C\text{ and every }\psi,\\ &q(\psi+\phi)+q(\psi-\phi)=2\bigl(q(\psi)+q(\phi)\bigr) &&\text{for every }\psi,\phi. \end{aligned}​q(ψ)≥0q(cψ)=∣c∣2q(ψ)q(ψ+ϕ)+q(ψ−ϕ)=2(q(ψ)+q(ϕ))​​for every ψ,for every c∈C and every ψ,for every ψ,ϕ.​

Scalar multiplication, addition, and subtraction of Schwartz functions are pointwise. The scalar c=0c=0c=0 and zero test functions are included; no continuity assumption on qqq is part of this property.

QAlgorithms.Papers.Independent.Intakethird100.P38.RealTest

For each natural number nnn, including n=0n=0n=0, the real test space is the space S(Rn;R)\mathcal S(\mathbb R^n;\mathbb R)S(Rn;R) of real-valued Schwartz functions on real Euclidean nnn-space: smooth functions whose derivatives of every order decrease rapidly. For n=0n=0n=0, the domain is a single point.

QAlgorithms.Papers.Independent.Intakethird100.P38.SequenceL2

The abbreviated space is the complex L2L^2L2 space of the integers equipped with counting measure: its elements are equivalence classes, modulo equality almost everywhere for counting measure, of complex sequences a=(am)m∈Za=(a_m)_{m\in\mathbb Z}a=(am​)m∈Z​ satisfying ∑m∈Z∣am∣2<∞\sum_{m\in\mathbb Z}|a_m|^2<\infty∑m∈Z​∣am​∣2<∞, with norm

∥a∥2=(∑m∈Z∣am∣2)1/2.\|a\|_2=\left(\sum_{m\in\mathbb Z}|a_m|^2\right)^{1/2}.∥a∥2​=(m∈Z∑​∣am​∣2)1/2.

For counting measure on Z\mathbb ZZ, equality almost everywhere is equality at every integer.

QAlgorithms.Papers.Independent.Intakethird100.P38.ShiftErgodic

For any natural number nnn, including 000, let Ω\OmegaΩ be the space of continuous real-linear functionals on real-valued Schwartz functions on Euclidean Rn\mathbb R^nRn, with its evaluation-generated sigma-algebra, and let μ\muμ be any measure on Ω\OmegaΩ. Define StωS_t\omegaSt​ω by (Stω)(ψ)=ω(x↦ψ(x+t))(S_t\omega)(\psi)=\omega(x\mapsto\psi(x+t))(St​ω)(ψ)=ω(x↦ψ(x+t)). The property ShiftErgodic⁡(μ)\operatorname{ShiftErgodic}(\mu)ShiftErgodic(μ) means that every measurable set A⊆ΩA\subseteq\OmegaA⊆Ω satisfying

for every t∈Rn,Stω∈A ⟺ ω∈Afor μ-almost every ω\text{for every }t\in\mathbb R^n,\quad S_t\omega\in A\ \Longleftrightarrow\ \omega\in A \quad\text{for }\mu\text{-almost every }\omegafor every t∈Rn,St​ω∈A ⟺ ω∈Afor μ-almost every ω

has μ(A)=0\mu(A)=0μ(A)=0 or μ(A)=1\mu(A)=1μ(A)=1. The exceptional null set may depend on ttt. Neither probability normalization nor preservation of μ\muμ by the shifts is part of this definition.

QAlgorithms.Papers.Independent.Intakethird100.P38.SpectralDomain

For each natural number nnn, including n=0n=0n=0, the spectral domain is the real Euclidean space Rn\mathbb R^nRn, with coordinates indexed by {0,…,n−1}\{0,\ldots,n-1\}{0,…,n−1} and its usual Euclidean norm and inner product. When n=0n=0n=0, this space consists of a single point.

QAlgorithms.Papers.Independent.Intakethird100.P38.TrivialPointSpectrum

For any natural number nnn, including 000, let Ω\OmegaΩ be the space of continuous real-linear functionals on the real Schwartz space over Euclidean Rn\mathbb R^nRn, with its evaluation-generated sigma-algebra; let μ\muμ be any measure on Ω\OmegaΩ; and let UtU_tUt​, indexed by t∈Rnt\in\mathbb R^nt∈Rn, be bijective complex-linear isometries of L2(Ω,μ;C)L^2(\Omega,\mu;\mathbb C)L2(Ω,μ;C). The property TrivialPointSpectrum⁡(μ,U)\operatorname{TrivialPointSpectrum}(\mu,U)TrivialPointSpectrum(μ,U) is the conjunction of two statements: for every a∈Rna\in\mathbb R^na∈Rn and every nonzero f∈L2(Ω,μ;C)f\in L^2(\Omega,\mu;\mathbb C)f∈L2(Ω,μ;C), if Utf=ei a⋅tfU_tf=e^{i\,a\cdot t}fUt​f=eia⋅tf for every t∈Rnt\in\mathbb R^nt∈Rn, then a=0a=0a=0; and, for every f∈L2(Ω,μ;C)f\in L^2(\Omega,\mu;\mathbb C)f∈L2(Ω,μ;C),

(∀t∈Rn, Utf=f)⟺∃c∈C, f=Cc.\bigl(\forall t\in\mathbb R^n,\ U_tf=f\bigr) \quad\Longleftrightarrow\quad \exists c\in\mathbb C,\ f=C_c.(∀t∈Rn, Ut​f=f)⟺∃c∈C, f=Cc​.

Here CcC_cCc​ is the L2L^2L2 class of the constant function ω↦c\omega\mapsto cω↦c if that function belongs to L2L^2L2, and is the zero L2L^2L2 element otherwise. The first statement requires no existence of nonzero eigenvectors and is vacuous when there are none. No probability assumption or shift-action property is imposed.

QAlgorithms.Papers.Independent.Intakethird100.P38.adjointProduct

For any natural number nnn, including 000, let QQQ be a continuous complex-linear map from the complex-valued Schwartz functions on Euclidean Rn\mathbb R^nRn to L2(Rn,dx;C)L^2(\mathbb R^n,dx;\mathbb C)L2(Rn,dx;C), and let ψ\psiψ be a complex-valued Schwartz function. Then adjointProduct⁡(Q,ψ)\operatorname{adjointProduct}(Q,\psi)adjointProduct(Q,ψ) is the continuous conjugate-linear functional whose value at every complex-valued Schwartz function ϕ\phiϕ is

(adjointProduct⁡(Q,ψ))(ϕ)=⟨Qϕ,Qψ⟩L2=∫Rn(Qϕ)(x)‾(Qψ)(x) dx,\bigl(\operatorname{adjointProduct}(Q,\psi)\bigr)(\phi) =\langle Q\phi,Q\psi\rangle_{L^2} =\int_{\mathbb R^n}\overline{(Q\phi)(x)}(Q\psi)(x)\,dx,(adjointProduct(Q,ψ))(ϕ)=⟨Qϕ,Qψ⟩L2​=∫Rn​(Qϕ)(x)​(Qψ)(x)dx,

where the inner product is conjugate-linear in its first argument and L2L^2L2 functions are understood up to almost-everywhere equality.

QAlgorithms.Papers.Independent.Intakethird100.P38.combSamples

For every complex-valued Schwartz function ψ\psiψ on the one-dimensional real Euclidean space and every integer mmm, the defined sample is its Fourier integral at the vector with sole coordinate mmm:

combSamples⁡(ψ,m)=∫Re−imxψ(x) dx.\operatorname{combSamples}(\psi,m) =\int_{\mathbb R}e^{-imx}\psi(x)\,dx.combSamples(ψ,m)=∫R​e−imxψ(x)dx.

Here dxdxdx is Euclidean volume measure, and the Fourier integral has no normalization factor.

QAlgorithms.Papers.Independent.Intakethird100.P38.covarianceKernel

For any natural number nnn, including 000, and any measure σ\sigmaσ on Euclidean Rn\mathbb R^nRn, covarianceKernel⁡(σ)\operatorname{covarianceKernel}(\sigma)covarianceKernel(σ) is a matrix indexed in both coordinates by all real-valued Schwartz functions, whose entries are continuous complex-linear maps C→C\mathbb C\to\mathbb CC→C. For indices ψ,ϕ\psi,\phiψ,ϕ, put

Eψ,ϕ=∫Rn∣∫Rne−i u⋅x(ψ(x)−ϕ(x)) dx∣2 dσ(u)∈[0,∞].E_{\psi,\phi}=\int_{\mathbb R^n} \left|\int_{\mathbb R^n}e^{-i\,u\cdot x}\bigl(\psi(x)-\phi(x)\bigr)\,dx\right|^2\,d\sigma(u)\in[0,\infty].Eψ,ϕ​=∫Rn​​∫Rn​e−iu⋅x(ψ(x)−ϕ(x))dx​2dσ(u)∈[0,∞].

The (ψ,ϕ)(\psi,\phi)(ψ,ϕ)-entry sends z∈Cz\in\mathbb Cz∈C to e−rψ,ϕ/2ze^{-r_{\psi,\phi}/2}ze−rψ,ϕ​/2z, where rψ,ϕr_{\psi,\phi}rψ,ϕ​ is the real value of Eψ,ϕE_{\psi,\phi}Eψ,ϕ​ when it is finite and is 000 when Eψ,ϕ=∞E_{\psi,\phi}=\inftyEψ,ϕ​=∞. In particular, an infinite energy gives the identity map. No regularity or energy-finiteness assumption is made on σ\sigmaσ.

QAlgorithms.Papers.Independent.Intakethird100.P38.decayWeight

For every natural number nnn, every natural number ppp, and every u∈Rnu\in\mathbb R^nu∈Rn, define the real weight wp(u)=1/(1+∥u∥2)pw_p(u)=1/(1+\|u\|^2)^pwp​(u)=1/(1+∥u∥2)p, using the Euclidean norm. Both n=0n=0n=0 and p=0p=0p=0 are allowed: w0(u)=1w_0(u)=1w0​(u)=1 everywhere, and on the one-point space R0\mathbb R^0R0 the weight is 111 for every ppp. The denominator is always strictly positive.

QAlgorithms.Papers.Independent.Intakethird100.P38.diracComb

The defined measure on the one-dimensional real Euclidean space is the sum of unit point masses at all integer-coordinate points:

σcomb=∑m∈Zδ(m).\sigma_{\mathrm{comb}}=\sum_{m\in\mathbb Z}\delta_{(m)}.σcomb​=m∈Z∑​δ(m)​.

Thus, for every measurable set AAA, its measure is the extended nonnegative sum ∑m∈Z1A((m))\sum_{m\in\mathbb Z}\mathbf 1_A((m))∑m∈Z​1A​((m)), which may be infinite.

QAlgorithms.Papers.Independent.Intakethird100.P38.distributionShift

For any natural number nnn, including 000, any t∈Rnt\in\mathbb R^nt∈Rn, and any continuous real-linear functional ω\omegaω on the real-valued Schwartz functions on Euclidean Rn\mathbb R^nRn, distributionShift⁡(t,ω)\operatorname{distributionShift}(t,\omega)distributionShift(t,ω) is the continuous real-linear functional given, for every real-valued Schwartz function ψ\psiψ, by

(distributionShift⁡(t,ω))(ψ)=ω(x↦ψ(x+t)).\bigl(\operatorname{distributionShift}(t,\omega)\bigr)(\psi) =\omega\bigl(x\mapsto\psi(x+t)\bigr).(distributionShift(t,ω))(ψ)=ω(x↦ψ(x+t)).

QAlgorithms.Papers.Independent.Intakethird100.P38.factorFromW

For every natural number nnn, including 000, every measure σ\sigmaσ on Rn\mathbb R^nRn, every complex-linear isometric bijection

W:L2(Rn,σ;C)⟶L2(Rn,dx;C),W:L^2(\mathbb R^n,\sigma;\mathbb C)\longrightarrow L^2(\mathbb R^n,dx;\mathbb C),W:L2(Rn,σ;C)⟶L2(Rn,dx;C),

and every complex-valued Schwartz function ψ\psiψ, this defines the vector W(vψ)W(v_\psi)W(vψ​), where

ψ^(u)=∫Rne−i⟨u,x⟩ψ(x) dx\widehat\psi(u)=\int_{\mathbb R^n}e^{-i\langle u,x\rangle}\psi(x)\,dxψ​(u)=∫Rn​e−i⟨u,x⟩ψ(x)dx

and vψ=[ψ^]σv_\psi=[\widehat\psi]_\sigmavψ​=[ψ​]σ​ if this Fourier transform is almost everywhere strongly measurable and square-integrable with respect to σ\sigmaσ, while vψ=0v_\psi=0vψ​=0 otherwise. Here dxdxdx is Lebesgue measure and ⟨u,x⟩\langle u,x\rangle⟨u,x⟩ is the real Euclidean inner product. In the latter case the resulting vector is W(0)=0W(0)=0W(0)=0. The bijection WWW is supplied as an argument; its existence is not asserted.

QAlgorithms.Papers.Independent.Intakethird100.P38.fourierClass

For every natural number nnn, including 000, every measure σ\sigmaσ on Rn\mathbb R^nRn, and every complex-valued Schwartz function ψ\psiψ on Rn\mathbb R^nRn, define

ψ^(u)=∫Rne−i⟨u,x⟩ψ(x) dx.\widehat\psi(u)=\int_{\mathbb R^n}e^{-i\langle u,x\rangle}\psi(x)\,dx.ψ​(u)=∫Rn​e−i⟨u,x⟩ψ(x)dx.

This declaration assigns to ψ\psiψ the equivalence class [ψ^]σ[\widehat\psi]_\sigma[ψ​]σ​ in L2(Rn,σ;C)L^2(\mathbb R^n,\sigma;\mathbb C)L2(Rn,σ;C) if ψ^\widehat\psiψ​ is almost everywhere strongly measurable and has finite integral of its squared modulus with respect to σ\sigmaσ; otherwise it assigns the zero element of that space. The Fourier integral uses Lebesgue measure and the real Euclidean inner product. No assumption on σ\sigmaσ ensures that the square-integrability condition holds.

QAlgorithms.Papers.Independent.Intakethird100.P38.fourierEnergy

For every natural number nnn, including n=0n=0n=0, every measure σ\sigmaσ on Rn\mathbb R^nRn, and every function f:Rn→Cf:\mathbb R^n\to\mathbb Cf:Rn→C, define the Fourier energy as the extended nonnegative number Eσ(f)=∫Rn−∣∫Rne−i⟨u,x⟩f(x) dx∣2 dσ(u)E_\sigma(f)=\int_{\mathbb R^n}^{-}\left|\int_{\mathbb R^n}e^{-i\langle u,x\rangle}f(x)\,dx\right|^2\,d\sigma(u)Eσ​(f)=∫Rn−​​∫Rn​e−i⟨u,x⟩f(x)dx​2dσ(u), where the inner integral uses Euclidean volume measure. The squared complex norm is embedded into the extended nonnegative reals by the map r↦max⁡(r,0)r\mapsto\max(r,0)r↦max(r,0). No measurability, integrability, or finiteness hypotheses are imposed: each inner Bochner integral is zero if its integrand is not integrable, and the outer integral may be +∞+\infty+∞. For n=0n=0n=0, the Euclidean domain is a single point.

QAlgorithms.Papers.Independent.Intakethird100.P38.l2Class

For every type α\alphaα equipped with a measurable-space structure, every measure μ\muμ on α\alphaα, and every function f:α→Cf:\alpha\to\mathbb Cf:α→C, this defines an element of L2(α,μ;C)L^2(\alpha,\mu;\mathbb C)L2(α,μ;C) by

l2Class⁡μ(f)={[f]μ,if f is almost everywhere strongly measurable and ∫α∣f∣2 dμ<∞,0,otherwise.\operatorname{l2Class}_\mu(f)= \begin{cases} [f]_\mu,&\text{if }f\text{ is almost everywhere strongly measurable and } \displaystyle\int_\alpha |f|^2\,d\mu<\infty,\\ 0,&\text{otherwise}. \end{cases}l2Classμ​(f)=⎩⎨⎧​[f]μ​,0,​if f is almost everywhere strongly measurable and ∫α​∣f∣2dμ<∞,otherwise.​

Here [f]μ[f]_\mu[f]μ​ denotes the equivalence class of fff modulo equality μ\muμ-almost everywhere, and 000 is the zero element of L2L^2L2. Thus the definition applies even to functions that fail the measurability or square-integrability requirement, and it imposes no additional assumptions on α\alphaα or μ\muμ.

QAlgorithms.Papers.Independent.Intakethird100.P38.lawFourier

For any natural number nnn, including 000, let Ω\OmegaΩ be the space of continuous real-linear functionals on the real Schwartz space over Euclidean Rn\mathbb R^nRn, with the sigma-algebra generated by evaluations. For any measure μ\muμ on Ω\OmegaΩ, any f∈L2(Ω,μ;C)f\in L^2(\Omega,\mu;\mathbb C)f∈L2(Ω,μ;C), and any real-valued Schwartz function ψ\psiψ, the definition is

lawFourier⁡(μ,f,ψ)=∫Ωe−iω(ψ)f(ω) dμ(ω),\operatorname{lawFourier}(\mu,f,\psi) =\int_\Omega e^{-i\omega(\psi)}f(\omega)\,d\mu(\omega),lawFourier(μ,f,ψ)=∫Ω​e−iω(ψ)f(ω)dμ(ω),

using the representative supplied for the L2L^2L2 class fff. No probability or finite-measure hypothesis is imposed on μ\muμ; if the integrand is not integrable, the total Bochner integral in this definition equals zero.

QAlgorithms.Papers.Independent.Intakethird100.P38.measureConvolution

For every natural number nnn, including n=0n=0n=0, and every pair of measures σ,τ\sigma,\tauσ,τ on the real Euclidean space Rn\mathbb R^nRn, their defined convolution is the pushforward of the product measure σ⊗τ\sigma\otimes\tauσ⊗τ under addition:

(σ∗τ)(A)=(σ⊗τ)({(u,v):u+v∈A})(\sigma*\tau)(A)=(\sigma\otimes\tau)\bigl(\{(u,v):u+v\in A\}\bigr)(σ∗τ)(A)=(σ⊗τ)({(u,v):u+v∈A})

for every measurable set A⊆RnA\subseteq\mathbb R^nA⊆Rn. No finiteness, regularity, or probability assumption is imposed on either measure.

QAlgorithms.Papers.Independent.Intakethird100.P38.omegaMeasurableSpace

For each natural number nnn, including n=0n=0n=0, equip the space Ω(n)\Omega(n)Ω(n) of continuous real-linear functionals on S(Rn;R)\mathcal S(\mathbb R^n;\mathbb R)S(Rn;R) with the smallest σ\sigmaσ-algebra making every evaluation map ω↦ω(ψ)\omega\mapsto\omega(\psi)ω↦ω(ψ) measurable into R\mathbb RR with its Borel σ\sigmaσ-algebra, as ψ\psiψ ranges over all real-valued Schwartz functions. Equivalently, this σ\sigmaσ-algebra is generated by the sets {ω:ω(ψ)∈B}\{\omega:\omega(\psi)\in B\}{ω:ω(ψ)∈B} for all such ψ\psiψ and all Borel sets B⊆RB\subseteq\mathbb RB⊆R.

QAlgorithms.Papers.Independent.Intakethird100.P38.paperFourier

For every natural number nnn, including n=0n=0n=0, every function f:Rn→Cf:\mathbb R^n\to\mathbb Cf:Rn→C, and every u∈Rnu\in\mathbb R^nu∈Rn, define its specified Fourier value by f^(u)=∫Rne−i⟨u,x⟩f(x) dx\widehat f(u)=\int_{\mathbb R^n}e^{-i\langle u,x\rangle}f(x)\,dxf​(u)=∫Rn​e−i⟨u,x⟩f(x)dx, where the inner product is the real Euclidean inner product and integration uses Euclidean volume measure. There are no measurability or integrability hypotheses on fff; the integral is the total Bochner integral, which is zero when the integrand is not integrable. For n=0n=0n=0, the domain is a single point.

QAlgorithms.Papers.Independent.Intakethird100.P38.periodization

For every complex-valued Schwartz function ψ\psiψ on the one-dimensional real Euclidean space and every point xxx in that space, the defined periodization is the integer-indexed sum

Pψ(x)=∑m∈Zψ(x+(2πm)),P_\psi(x)=\sum_{m\in\mathbb Z}\psi\bigl(x+(2\pi m)\bigr),Pψ​(x)=m∈Z∑​ψ(x+(2πm)),

where (2πm)(2\pi m)(2πm) denotes the vector with sole coordinate 2πm2\pi m2πm. The sum uses the total infinite-sum operation, which returns 000 if the indexed family is not summable; the definition itself contains no summability hypothesis.

QAlgorithms.Papers.Independent.Intakethird100.P38.point1

For every real number xxx, the defined point point⁡1(x)\operatorname{point}_1(x)point1​(x) is the vector in the one-dimensional real Euclidean space whose sole coordinate is xxx.

QAlgorithms.Papers.Independent.Intakethird100.P38.realFunction

For every natural number nnn, including n=0n=0n=0, and every real-valued Schwartz function ψ∈S(Rn;R)\psi\in\mathcal S(\mathbb R^n;\mathbb R)ψ∈S(Rn;R), define a complex-valued function on Rn\mathbb R^nRn by x↦ψ(x)+0ix\mapsto\psi(x)+0ix↦ψ(x)+0i. Thus each value is the usual embedding of the real number ψ(x)\psi(x)ψ(x) into C\mathbb CC. For n=0n=0n=0, this is a function on a single point.

QAlgorithms.Papers.Independent.Intakethird100.P38.spectralCompletion

For every natural number nnn, including 000, and every measure σ\sigmaσ on Rn\mathbb R^nRn, this defines the complex vector subspace

Hσ=span⁡C{vψ:ψ is a complex-valued Schwartz function on Rn}‾⊆L2(Rn,σ;C),H_\sigma=\overline{\operatorname{span}_{\mathbb C}\{v_\psi:\psi\text{ is a complex-valued Schwartz function on }\mathbb R^n\}} \subseteq L^2(\mathbb R^n,\sigma;\mathbb C),Hσ​=spanC​{vψ​:ψ is a complex-valued Schwartz function on Rn}​⊆L2(Rn,σ;C),

where the closure is taken in the L2L^2L2 norm. For each ψ\psiψ, set ψ^(u)=∫Rne−i⟨u,x⟩ψ(x) dx\widehat\psi(u)=\int_{\mathbb R^n}e^{-i\langle u,x\rangle}\psi(x)\,dxψ​(u)=∫Rn​e−i⟨u,x⟩ψ(x)dx, using Lebesgue measure and the real Euclidean inner product; vψv_\psivψ​ is the almost-everywhere equivalence class of ψ^\widehat\psiψ​ if it is almost everywhere strongly measurable and square-integrable with respect to σ\sigmaσ, and is the zero vector otherwise. No additional assumptions on σ\sigmaσ are imposed, and the resulting subspace may be the zero subspace.

QAlgorithms.Papers.Independent.Intakethird100.P38.spectralDistribution

For any natural number nnn, including 000, any measure σ\sigmaσ on Euclidean Rn\mathbb R^nRn, and any complex-valued Schwartz function ψ\psiψ, define η^(u)=∫Rne−i u⋅xη(x) dx\widehat\eta(u)=\int_{\mathbb R^n}e^{-i\,u\cdot x}\eta(x)\,dxη​(u)=∫Rn​e−iu⋅xη(x)dx for a complex-valued Schwartz function η\etaη. If there exists a continuous conjugate-linear functional TTT on the complex Schwartz space such that

T(ϕ)=∫Rnψ^(u) ϕ^(u)‾ dσ(u)for every complex-valued Schwartz function ϕ,T(\phi)=\int_{\mathbb R^n}\widehat\psi(u)\,\overline{\widehat\phi(u)}\,d\sigma(u) \quad\text{for every complex-valued Schwartz function }\phi,T(ϕ)=∫Rn​ψ​(u)ϕ​(u)​dσ(u)for every complex-valued Schwartz function ϕ,

then spectralDistribution⁡(σ,ψ)\operatorname{spectralDistribution}(\sigma,\psi)spectralDistribution(σ,ψ) is a classically chosen such functional; if none exists, it is the zero functional. No regularity or finiteness hypothesis on σ\sigmaσ, or existence hypothesis on TTT, is imposed. The displayed complex integral uses the total Bochner-integral convention, giving zero when its integrand is not integrable.

QAlgorithms.Papers.Independent.Intakethird100.P38.spectralPairing

For every natural number nnn, including 000, every measure σ\sigmaσ on the Euclidean space Rn\mathbb R^nRn, and every pair of complex-valued Schwartz functions ψ,ϕ\psi,\phiψ,ϕ on Rn\mathbb R^nRn, this defines the complex number

spectralPairing⁡σ(ψ,ϕ)=∫Rnψ^(u) ϕ^(u)‾ dσ(u),f^(u)=∫Rne−i⟨u,x⟩f(x) dx.\operatorname{spectralPairing}_\sigma(\psi,\phi) =\int_{\mathbb R^n}\widehat\psi(u)\,\overline{\widehat\phi(u)}\,d\sigma(u), \qquad \widehat f(u)=\int_{\mathbb R^n}e^{-i\langle u,x\rangle}f(x)\,dx.spectralPairingσ​(ψ,ϕ)=∫Rn​ψ​(u)ϕ​(u)​dσ(u),f​(u)=∫Rn​e−i⟨u,x⟩f(x)dx.

Here dxdxdx is Lebesgue measure and ⟨u,x⟩\langle u,x\rangle⟨u,x⟩ is the real Euclidean inner product. No regularity or finiteness assumption is imposed on σ\sigmaσ. The outer integral is the Bochner integral, whose value is defined to be 000 if its integrand is not integrable.

QAlgorithms.Papers.Independent.Intakethird100.P38.spectralQ

For every natural number nnn, including n=0n=0n=0, every measure σ\sigmaσ on Rn\mathbb R^nRn, and every complex-valued Schwartz function ψ∈S(Rn;C)\psi\in\mathcal S(\mathbb R^n;\mathbb C)ψ∈S(Rn;C), define Qσ(ψ)Q_\sigma(\psi)Qσ​(ψ) by converting the extended nonnegative quantity ∫Rn−∣∫Rne−i⟨u,x⟩ψ(x) dx∣2 dσ(u)\int_{\mathbb R^n}^{-}\left|\int_{\mathbb R^n}e^{-i\langle u,x\rangle}\psi(x)\,dx\right|^2\,d\sigma(u)∫Rn−​​∫Rn​e−i⟨u,x⟩ψ(x)dx​2dσ(u) to a real number. This conversion preserves every finite value and sends +∞+\infty+∞ to 000. The inner integral uses Euclidean volume measure and has the total Bochner-integral convention of being zero when its integrand is not integrable. No hypothesis on σ\sigmaσ or finiteness of the energy is required; n=0n=0n=0 gives a one-point domain.

QAlgorithms.Papers.Independent.Intakethird100.P38.spectralVector

For every natural number nnn, including 000, every measure σ\sigmaσ on Rn\mathbb R^nRn, and every complex-valued Schwartz function ψ\psiψ, this defines a vector in

Hσ=span⁡C{vη:η is a complex-valued Schwartz function on Rn}‾⊆L2(Rn,σ;C).H_\sigma=\overline{\operatorname{span}_{\mathbb C}\{v_\eta:\eta\text{ is a complex-valued Schwartz function on }\mathbb R^n\}} \subseteq L^2(\mathbb R^n,\sigma;\mathbb C).Hσ​=spanC​{vη​:η is a complex-valued Schwartz function on Rn}​⊆L2(Rn,σ;C).

Here η^(u)=∫Rne−i⟨u,x⟩η(x) dx\widehat\eta(u)=\int_{\mathbb R^n}e^{-i\langle u,x\rangle}\eta(x)\,dxη​(u)=∫Rn​e−i⟨u,x⟩η(x)dx, with Lebesgue measure and the real Euclidean inner product, and vηv_\etavη​ is its L2(σ)L^2(\sigma)L2(σ) equivalence class when the transform is almost everywhere strongly measurable and square-integrable, or zero otherwise. The vector defined is exactly vψv_\psivψ​, regarded as an element of HσH_\sigmaHσ​; its membership follows because it belongs to the generating set, hence to its complex span and its norm closure. In particular, failure of the square-integrability or measurability condition gives the zero vector in HσH_\sigmaHσ​.

QAlgorithms.Papers.Independent.Intakethird100.P38.testTranslation

For every natural number nnn, including 000, and every t∈Rnt\in\mathbb R^nt∈Rn, this defines the continuous complex-linear operator on complex-valued Schwartz functions on Rn\mathbb R^nRn given by

(Ttψ)(x)=ψ(x−t).(T_t\psi)(x)=\psi(x-t).(Tt​ψ)(x)=ψ(x−t).

The zero translation is included. When n=0n=0n=0, the Euclidean space has one point and this operator is the identity.

QAlgorithms.Papers.Independent.Intakethird100.P38.weightedMass

For every natural number nnn, including n=0n=0n=0, every measure σ\sigmaσ on Rn\mathbb R^nRn, and every natural number ppp, define the weighted mass as the extended nonnegative number Mp(σ)=∫Rn−(1+∥u∥2)−p dσ(u)M_p(\sigma)=\int_{\mathbb R^n}^{-}(1+\|u\|^2)^{-p}\,d\sigma(u)Mp​(σ)=∫Rn−​(1+∥u∥2)−pdσ(u). The integrand is regarded as an extended nonnegative real by the map sending a real number rrr to max⁡(r,0)\max(r,0)max(r,0); here it is already positive. No finiteness assumption is imposed, so the value may be +∞+\infty+∞. The choice p=0p=0p=0 is allowed and gives σ(Rn)\sigma(\mathbb R^n)σ(Rn).

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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