Definitions for Stochastic processes induced by singular operators
DefinitionQAlgorithms_Papers_Independent_Intakethird100_P38The 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.
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
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 , including , is the space of continuous conjugate-linear maps from the complex-valued Schwartz functions on Euclidean to . Thus an element is continuous in the Schwartz topology and satisfies for all complex scalars and all complex-valued Schwartz functions .
QAlgorithms.Papers.Independent.Intakethird100.P38.CharacteristicLaw
For any natural number , including , let be a measure on Euclidean , and let be a measure on the space of continuous real-linear functionals on real-valued Schwartz functions on , equipped with the sigma-algebra generated by the evaluations . The property means that is a probability measure and, for every real-valued Schwartz function , the extended nonnegative integral
is finite and satisfies
Here is Lebesgue measure, 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 , including , and every function from the complex-valued Schwartz functions on to , this defines the following property: for every sequence of such Schwartz functions, if
and
then in as . Here is Lebesgue measure, and is the equivalence class of if it is almost everywhere strongly measurable and square-integrable, or the zero vector otherwise. The difference is pointwise, and the quantifiers include . No positivity, quadratic identity, or continuity assumption on is included; the displayed bound is the strict one-sided inequality , without an absolute value.
QAlgorithms.Papers.Independent.Intakethird100.P38.ComplexTest
For each natural number , including , the complex test space is the space of complex-valued Schwartz functions on real Euclidean -space: smooth functions whose derivatives of every order decrease rapidly. For , the domain is a single point.
QAlgorithms.Papers.Independent.Intakethird100.P38.HilbertFactor
For every natural number , including , every measure on , and every continuous complex-linear map from the complex-valued Schwartz functions on to , this defines the property that, for every pair of Schwartz functions ,
The inner product is conjugate-linear in its first argument and linear in its second, so its left side is . The inner product inside the Fourier exponential is the real Euclidean inner product, and is Lebesgue measure. No regularity or finiteness assumption on is included; the integral on the right is defined as if its integrand is not Bochner integrable.
QAlgorithms.Papers.Independent.Intakethird100.P38.InC
For every natural number , including , and every measure on , the predicate means that is regular and that there exists a natural number such that . The exponent is permitted, in which case this finiteness condition is finiteness of the total mass. For , the domain is a single point and every weight in this condition is .
QAlgorithms.Papers.Independent.Intakethird100.P38.InCb
For any natural number , including , and any measure on Euclidean , the property means that is regular and that, for every natural number , there exist a natural number and a real constant such that, for every ,
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 may depend on but must work for all ; there is no requirement for .
QAlgorithms.Papers.Independent.Intakethird100.P38.IsKoopman
For any natural number , including , let be the space of continuous real-linear functionals on the real Schwartz space over Euclidean , equipped with its evaluation-generated sigma-algebra; let be any measure on ; and let , for each , be a bijective complex-linear isometry of . Define by . The property requires that every is measurable and preserves , that is the identity, that for every , and that, for every and every ,
The exceptional null set may depend on and ; no probability assumption on is included.
QAlgorithms.Papers.Independent.Intakethird100.P38.KoopmanFamily
For any natural number , including , let be the space of continuous real-linear functionals on real-valued Schwartz functions on Euclidean , with its evaluation-generated sigma-algebra, and let be any measure on . A is an arbitrary function assigning to each a bijective complex-linear isometry of onto itself. This type imposes no continuity, group law, or relationship to translations on the assignment .
QAlgorithms.Papers.Independent.Intakethird100.P38.L2
For every natural number , including , and every measure on the Euclidean space , this is an abbreviation for : the space of equivalence classes, modulo equality -almost everywhere, of almost everywhere strongly measurable complex-valued functions satisfying
No finiteness, regularity, or -finiteness assumption on the measure is required.
QAlgorithms.Papers.Independent.Intakethird100.P38.LocallyTotalExponentials
For every natural number , including , and every measure on , this defines the property that, for every compact set , the complex linear span of the vectors , indexed by all , is dense in . Here is the restriction of to , and is the almost-everywhere equivalence class of
if that function is almost everywhere strongly measurable and square-integrable for , and is zero otherwise; is the real Euclidean inner product. Density is in the norm. The empty compact set is included and gives the zero space. No assumption that compact sets have finite measure is imposed: if , every is zero because the exponential has modulus , so the required density for that means that is the zero space.
QAlgorithms.Papers.Independent.Intakethird100.P38.Omega
For each natural number , including , is the space of continuous real-linear maps from the real Schwartz space , equipped with its Schwartz topology, to . Thus an element assigns a real number to every real-valued Schwartz function , continuously and real-linearly. When , the test functions have a one-point domain.
QAlgorithms.Papers.Independent.Intakethird100.P38.PositiveQuadratic
For every natural number , including , and every function from the complex-valued Schwartz functions on to , this defines a property requiring all three conditions
Scalar multiplication, addition, and subtraction of Schwartz functions are pointwise. The scalar and zero test functions are included; no continuity assumption on is part of this property.
QAlgorithms.Papers.Independent.Intakethird100.P38.RealTest
For each natural number , including , the real test space is the space of real-valued Schwartz functions on real Euclidean -space: smooth functions whose derivatives of every order decrease rapidly. For , the domain is a single point.
QAlgorithms.Papers.Independent.Intakethird100.P38.SequenceL2
The abbreviated space is the complex space of the integers equipped with counting measure: its elements are equivalence classes, modulo equality almost everywhere for counting measure, of complex sequences satisfying , with norm
For counting measure on , equality almost everywhere is equality at every integer.
QAlgorithms.Papers.Independent.Intakethird100.P38.ShiftErgodic
For any natural number , including , let be the space of continuous real-linear functionals on real-valued Schwartz functions on Euclidean , with its evaluation-generated sigma-algebra, and let be any measure on . Define by . The property means that every measurable set satisfying
has or . The exceptional null set may depend on . Neither probability normalization nor preservation of by the shifts is part of this definition.
QAlgorithms.Papers.Independent.Intakethird100.P38.SpectralDomain
For each natural number , including , the spectral domain is the real Euclidean space , with coordinates indexed by and its usual Euclidean norm and inner product. When , this space consists of a single point.
QAlgorithms.Papers.Independent.Intakethird100.P38.TrivialPointSpectrum
For any natural number , including , let be the space of continuous real-linear functionals on the real Schwartz space over Euclidean , with its evaluation-generated sigma-algebra; let be any measure on ; and let , indexed by , be bijective complex-linear isometries of . The property is the conjunction of two statements: for every and every nonzero , if for every , then ; and, for every ,
Here is the class of the constant function if that function belongs to , and is the zero 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 , including , let be a continuous complex-linear map from the complex-valued Schwartz functions on Euclidean to , and let be a complex-valued Schwartz function. Then is the continuous conjugate-linear functional whose value at every complex-valued Schwartz function is
where the inner product is conjugate-linear in its first argument and functions are understood up to almost-everywhere equality.
QAlgorithms.Papers.Independent.Intakethird100.P38.combSamples
For every complex-valued Schwartz function on the one-dimensional real Euclidean space and every integer , the defined sample is its Fourier integral at the vector with sole coordinate :
Here is Euclidean volume measure, and the Fourier integral has no normalization factor.
QAlgorithms.Papers.Independent.Intakethird100.P38.covarianceKernel
For any natural number , including , and any measure on Euclidean , is a matrix indexed in both coordinates by all real-valued Schwartz functions, whose entries are continuous complex-linear maps . For indices , put
The -entry sends to , where is the real value of when it is finite and is when . In particular, an infinite energy gives the identity map. No regularity or energy-finiteness assumption is made on .
QAlgorithms.Papers.Independent.Intakethird100.P38.decayWeight
For every natural number , every natural number , and every , define the real weight , using the Euclidean norm. Both and are allowed: everywhere, and on the one-point space the weight is for every . 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:
Thus, for every measurable set , its measure is the extended nonnegative sum , which may be infinite.
QAlgorithms.Papers.Independent.Intakethird100.P38.distributionShift
For any natural number , including , any , and any continuous real-linear functional on the real-valued Schwartz functions on Euclidean , is the continuous real-linear functional given, for every real-valued Schwartz function , by
QAlgorithms.Papers.Independent.Intakethird100.P38.factorFromW
For every natural number , including , every measure on , every complex-linear isometric bijection
and every complex-valued Schwartz function , this defines the vector , where
and if this Fourier transform is almost everywhere strongly measurable and square-integrable with respect to , while otherwise. Here is Lebesgue measure and is the real Euclidean inner product. In the latter case the resulting vector is . The bijection is supplied as an argument; its existence is not asserted.
QAlgorithms.Papers.Independent.Intakethird100.P38.fourierClass
For every natural number , including , every measure on , and every complex-valued Schwartz function on , define
This declaration assigns to the equivalence class in if is almost everywhere strongly measurable and has finite integral of its squared modulus with respect to ; otherwise it assigns the zero element of that space. The Fourier integral uses Lebesgue measure and the real Euclidean inner product. No assumption on ensures that the square-integrability condition holds.
QAlgorithms.Papers.Independent.Intakethird100.P38.fourierEnergy
For every natural number , including , every measure on , and every function , define the Fourier energy as the extended nonnegative number , where the inner integral uses Euclidean volume measure. The squared complex norm is embedded into the extended nonnegative reals by the map . 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 . For , the Euclidean domain is a single point.
QAlgorithms.Papers.Independent.Intakethird100.P38.l2Class
For every type equipped with a measurable-space structure, every measure on , and every function , this defines an element of by
Here denotes the equivalence class of modulo equality -almost everywhere, and is the zero element of . Thus the definition applies even to functions that fail the measurability or square-integrability requirement, and it imposes no additional assumptions on or .
QAlgorithms.Papers.Independent.Intakethird100.P38.lawFourier
For any natural number , including , let be the space of continuous real-linear functionals on the real Schwartz space over Euclidean , with the sigma-algebra generated by evaluations. For any measure on , any , and any real-valued Schwartz function , the definition is
using the representative supplied for the class . No probability or finite-measure hypothesis is imposed on ; 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 , including , and every pair of measures on the real Euclidean space , their defined convolution is the pushforward of the product measure under addition:
for every measurable set . No finiteness, regularity, or probability assumption is imposed on either measure.
QAlgorithms.Papers.Independent.Intakethird100.P38.omegaMeasurableSpace
For each natural number , including , equip the space of continuous real-linear functionals on with the smallest -algebra making every evaluation map measurable into with its Borel -algebra, as ranges over all real-valued Schwartz functions. Equivalently, this -algebra is generated by the sets for all such and all Borel sets .
QAlgorithms.Papers.Independent.Intakethird100.P38.paperFourier
For every natural number , including , every function , and every , define its specified Fourier value by , where the inner product is the real Euclidean inner product and integration uses Euclidean volume measure. There are no measurability or integrability hypotheses on ; the integral is the total Bochner integral, which is zero when the integrand is not integrable. For , the domain is a single point.
QAlgorithms.Papers.Independent.Intakethird100.P38.periodization
For every complex-valued Schwartz function on the one-dimensional real Euclidean space and every point in that space, the defined periodization is the integer-indexed sum
where denotes the vector with sole coordinate . The sum uses the total infinite-sum operation, which returns if the indexed family is not summable; the definition itself contains no summability hypothesis.
QAlgorithms.Papers.Independent.Intakethird100.P38.point1
For every real number , the defined point is the vector in the one-dimensional real Euclidean space whose sole coordinate is .
QAlgorithms.Papers.Independent.Intakethird100.P38.realFunction
For every natural number , including , and every real-valued Schwartz function , define a complex-valued function on by . Thus each value is the usual embedding of the real number into . For , this is a function on a single point.
QAlgorithms.Papers.Independent.Intakethird100.P38.spectralCompletion
For every natural number , including , and every measure on , this defines the complex vector subspace
where the closure is taken in the norm. For each , set , using Lebesgue measure and the real Euclidean inner product; is the almost-everywhere equivalence class of if it is almost everywhere strongly measurable and square-integrable with respect to , and is the zero vector otherwise. No additional assumptions on are imposed, and the resulting subspace may be the zero subspace.
QAlgorithms.Papers.Independent.Intakethird100.P38.spectralDistribution
For any natural number , including , any measure on Euclidean , and any complex-valued Schwartz function , define for a complex-valued Schwartz function . If there exists a continuous conjugate-linear functional on the complex Schwartz space such that
then is a classically chosen such functional; if none exists, it is the zero functional. No regularity or finiteness hypothesis on , or existence hypothesis on , 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 , including , every measure on the Euclidean space , and every pair of complex-valued Schwartz functions on , this defines the complex number
Here is Lebesgue measure and is the real Euclidean inner product. No regularity or finiteness assumption is imposed on . The outer integral is the Bochner integral, whose value is defined to be if its integrand is not integrable.
QAlgorithms.Papers.Independent.Intakethird100.P38.spectralQ
For every natural number , including , every measure on , and every complex-valued Schwartz function , define by converting the extended nonnegative quantity to a real number. This conversion preserves every finite value and sends to . 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 or finiteness of the energy is required; gives a one-point domain.
QAlgorithms.Papers.Independent.Intakethird100.P38.spectralVector
For every natural number , including , every measure on , and every complex-valued Schwartz function , this defines a vector in
Here , with Lebesgue measure and the real Euclidean inner product, and is its equivalence class when the transform is almost everywhere strongly measurable and square-integrable, or zero otherwise. The vector defined is exactly , regarded as an element of ; 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 .
QAlgorithms.Papers.Independent.Intakethird100.P38.testTranslation
For every natural number , including , and every , this defines the continuous complex-linear operator on complex-valued Schwartz functions on given by
The zero translation is included. When , the Euclidean space has one point and this operator is the identity.
QAlgorithms.Papers.Independent.Intakethird100.P38.weightedMass
For every natural number , including , every measure on , and every natural number , define the weighted mass as the extended nonnegative number . The integrand is regarded as an extended nonnegative real by the map sending a real number to ; here it is already positive. No finiteness assumption is imposed, so the value may be . The choice is allowed and gives .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.