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Spectral measures and periodogram bias
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Algebras Spectrum and Holomorphic Functional Calculus
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bochner Inversion and Plancherel on LCA Groups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Character Groups and Elementary LCA Duals
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Coordinate and Path Transport
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Norms and Realification
- Complex Power Series and Analytic Functions
- Complex Subspace Realification
- Complexification, Realification and Real Structures
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Continuous Functional Calculus for Self Adjoint and Normal Operators
- Contour Integration
- Convergence: Nets and Filters
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Gelfand Theory and Commutative C Star Algebras
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Homomorphisms and the Isomorphism Theorems
- Haar Measure Existence and Uniqueness
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Infinite Product Measures and Kolmogorov Extension
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Pointwise Extended-Real Function Products
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Probability Spaces Random Variables and Expectation
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Stationary means and sample autocovariance
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Ascoli–Arzelà Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Fundamental Group of the Circle
- The Fundamental Theorems of Calculus
- The Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The Winding Number and the Global Cauchy Theorem
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Uniform Spaces: the Three Definitions
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
For a real weakly stationary sequence on , the covariance sequence is positive definite. Under AC and DC, the LCA Bochner theorem gives its unique finite positive spectral measure on the circle; absolute summability of the autocovariance gives a continuous nonnegative density in the angular-frequency convention fixed here. The known-mean periodogram has an exact finite-sample Fejér convolution expectation. A kernel-smoothed periodogram is asymptotically unbiased at a continuity point under the stated bandwidth and grid conditions. The angular Lebesgue and smoothing branch assumes Countable Choice in this library; the finite expectation and supplied-measure convolution identities do not use a choice axiom. AC and DC remain the separate hypotheses for spectral measure existence. These arguments do not supply a raw-periodogram CLT, variance consistency, or interval coverage.
3 · Logical flowchart
4 · Definitions, theorems and proofs
The Pontryagin dual of the discrete integers is the circle
Statement
Let have the discrete topology, let have the subspace topology from , and give the compact-open topology of the Pontryagin dual. Then is a group isomorphism and a homeomorphism. Thus in the angular coordinate , the characters of are exactly , with taken modulo .
Facts & Assumptions
Given: The additive integer group with the discrete topology, the multiplicative unit circle, and the Pontryagin dual with its compact-open topology.
The Pontryagin dual with the compact-open topology: is the set of continuous group homomorphisms , with pointwise multiplication and the compact-open topology.
The integers as equivalence classes of pairs of naturals, Arithmetic on the integers, The integers form a commutative ring, and The discrete, indiscrete, cofinite, cocountable, particular-point and Sierpinski topologies: the integers form an additive group, and the discrete topology makes every subset open; every map from a discrete space is continuous.
Monoid homomorphism and group homomorphism: a group homomorphism preserves multiplication.
Integer powers in the complex field and Exponent laws in a group: and for all , and when and commute: for , integer powers satisfy and .
The Euclidean metric, convergence, Cauchy sequences, and continuity on the complex plane and Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace: carries the metric and topology inherited from .
is a field, every element is uniquely , and every nonzero element has inverse and Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive: multiplication on is commutative, , , and conjugation is an involution. Hence , and nonnegative moduli give . Thus for , and , so the unit circle is an abelian group under multiplication with inverse .
On a discrete domain the compact-open topology is the topology of pointwise convergence and The topology of pointwise convergence on , which is the product topology, and its restriction to : when the domain is discrete, the compact-open topology on a family of functions is the subspace topology from the product .
The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space and Basis and subbasis for a topology, and the topology generated by a family of sets: product basic open sets restrict only finitely many coordinates, and the projections are continuous.
Homeomorphism, open map, closed map, embedding, and what it means for a property to be topological: a homeomorphism is a continuous bijection with continuous inverse.
Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous: the composite of continuous maps is continuous.
, and the complex exponential extends the real exponential and , , and : the complex exponential satisfies and .
is a bijection from onto the real unit circle: under , every point of has the form for a unique .
Proof
Proof technique: Identify each character by its value at , then verify continuity in the pointwise topology.
For , define . By [F4], , so is a group homomorphism by [F3]. It is continuous because its domain is discrete by [F2]. Hence by [F1], and is well defined.
Multiplication on is continuous. For , Thus a product-neighborhood restricting both coordinates within of maps inside the -ball about . Inversion is continuous because by [F6] and by conjugation preserving modulus [F6].
The map is a group homomorphism: for and , because is abelian, by [F4] and [F6]. It is injective since . If , put . First ; since is invertible, . Repeatedly applying the homomorphism law then gives for . Thus for , , so ; hence and is surjective.
Each coordinate map is continuous: for it is constant; for it is a finite composite of the continuous multiplication map from step 1.2 and the identity; for it is a finite composite followed by the continuous inverse map from step 1.2. Composite continuity follows from [F10]. A basic open set in the product restricts only finitely many coordinates by [F8], so its preimage is a finite intersection of open coordinate preimages. Thus is continuous into the product, and [F7] gives continuity into the subspace .
The inverse map sends to . Evaluation at coordinate is continuous as the restriction of a product projection by [F7]–[F8], and by step 2.1. Thus the inverse is continuous; is a homeomorphism by [F9], and with step 2.1 it is the asserted group isomorphism.
By [F12], every has a unique angle modulo with , using [F11]. The exponential addition law [F11] and integer-power laws [F4] give for every .
Spectral measures and the known-mean periodogram
Definition
Assume Countable Choice (The Axiom of Countable Choice ()) for the angular Lebesgue measure clause below; under it is a measure and intervals have their usual lengths (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
Let be the multiplicative unit circle with its subspace topology from (The multiplicative unit circle is a compact metrizable topological abelian group), identified with angular frequencies by . Write for the finite angular Lebesgue Borel measure obtained from ordinary Lebesgue measure on ; thus , and the endpoints and denote the same point. The characters of discrete additive are by The Pontryagin dual of the discrete integers is the circle.
For angular representatives , define their circular distance by The minimum exists because the displayed absolute values tend to infinity with , and changing either representative by leaves it unchanged.
Precisely, for Borel put The map is continuous by The complex exponential is entire and its complex derivative is itself and Complex differentiability at a point implies continuity there, so the preimage is Borel by A continuous map has Borel preimages of Borel sets. Preimages preserve disjoint unions, so this is a finite Borel measure under the stated Countable Choice premise. Integrating a Borel function of the circle angle means integrating its periodic lift over this half-open interval.
Let be a real weakly stationary process with mean and autocovariance (Strict and weak stationarity for integer-indexed time series, Autocovariance and sample autocovariance). A spectral measure for is a finite positive Radon Borel measure on (Radon measure on an LCH space) satisfying Putting gives . A spectral density is a nonnegative measurable function with for every Borel set ; it exists only when is absolutely continuous with respect to and is unique up to -null sets.
For a known mean and integer , the known-mean periodogram is the random function The centering uses the population mean, not the sample mean. The finite sum is square-integrable, so has finite expectation: for , the pointwise inequality bounds its expectation by (Moments, variance, and covariance on a probability space).
Define the normalized finite-sample Fejér kernel
For smoothing, let be continuous with compact support, , and . For bandwidth , periodize it on the circle by Compact support makes this a finite sum at each , and changing variables over the intervals that tile gives . Fix a sequence of bandwidths with . For the Fourier grid () and target , when the denominator is positive define The weights are nonnegative and sum to one.
Remarks
The finite-sum bound used in the finite-expectation paragraph follows directly. Put . Since by , , and , . Expanding the squares gives so .
Integer exponentials are orthogonal for angular Lebesgue measure
Statement
Assume Countable Choice. For every integer , with the unnormalized angular Lebesgue measure on from Spectral measures and the known-mean periodogram,
Facts & Assumptions
Given: Countable Choice, an integer , and angular Lebesgue measure on the circle, integrated over one period .
The Axiom of Countable Choice (): the Countable Choice assumption required for the angular Lebesgue measure and its interval values.
Spectral measures and the known-mean periodogram: is ordinary Lebesgue measure on one angular period, with total mass .
A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion and Heine-Cantor in : a continuous real function on a compact subset of is uniformly continuous: a continuous real function on a closed bounded interval is Riemann integrable, bounded, and uniformly continuous.
The nonnegative Lebesgue integral, The integral of a nonnegative simple function, and Monotonicity and nonnegative homogeneity of the nonnegative integral: the Lebesgue integral is monotone on nonnegative functions, and the integral of a nonnegative step function is the sum of its values times the measures of its intervals.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: an interval has Lebesgue measure equal to its length, and a singleton has measure zero.
The Lebesgue integral is linear on : the Lebesgue integral is linear on integrable real functions.
The second fundamental theorem: if is differentiable on with and is integrable, then , The derivatives of sine and cosine are cosine and minus sine, and The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with : integrating a continuous derivative on a closed interval gives the endpoint difference; the derivatives of sine and cosine and the chain rule give the antiderivatives used below.
, , and and Integrable real and complex functions, and their integrals: , and the integral of a complex function is the integral of its real part plus times that of its imaginary part.
The lower and upper Darboux integrals of a bounded on as and , Darboux integrability as their equality, and the notation and For bounded on and a partition : the infimum and supremum of on the -th subinterval, and the lower and upper Darboux sums and : for a bounded Riemann-integrable real function, the integral lies between the lower and upper Darboux sums for every partition.
A continuous map has Borel preimages of Borel sets: the preimage of every Borel set under a continuous map is Borel; in particular the continuous real function in step 1.1 is Borel measurable.
For every in a complete ordered field there is a natural with : for every there is an with .
Proof
Proof technique: compare the Lebesgue integral with Darboux sums, then use the fundamental theorem of calculus.
Let be continuous and bounded by . For each , partition the interval into the fixed equal pieces , with the endpoint added to the last piece. On each piece take the infimum and supremum of on its closed hull and use them as the constant values of simple step functions and . They satisfy . By [F3]–[F4], under [A1], their Lebesgue integrals with respect to are exactly the lower and upper Darboux sums of for this partition. Given , uniform continuity [F2] gives such that the oscillation on any interval of length below is less than . Choose with by [F11]; then every oscillation is below , and the gap between the sums is at most . Hence that gap tends to zero. Monotonicity of the Lebesgue integral places between the same sums; the Darboux integral of lies between them as well. Therefore the Lebesgue and Darboux integrals of agree. By linearity [F5] and from [F1], the two integrals of agree.
If , the integrand is the constant , so its integral is by [F1] under [A1].
If , apply step 1.1 to the continuous real functions and . Their antiderivatives are respectively and by [F6] and the chain rule. Their endpoint differences vanish by [F7], so both Lebesgue integrals on are zero. These functions are -periodic; by the angular integral definition [F1], their integrals on are those same integrals over . Euler's identity and the complex-integral convention [F8] give .
The cases and exhaust the integers, and steps 1.2 and 2.1 give the stated formula.
Herglotz spectral measure and the summable-covariance density
Statement
Assume the Axiom of Choice and Dependent Choice. Let be a real weakly stationary process with mean and autocovariance . Then there is a unique finite positive Radon measure on such that and . This is the spectral measure in Spectral measures and the known-mean periodogram.
If, in addition, , then is absolutely continuous with respect to angular Lebesgue measure and has the continuous nonnegative density No mixing, central limit theorem, raw-periodogram consistency, or interval coverage follows from these conclusions.
Facts & Assumptions
Given: The Axiom of Choice, Dependent Choice, and a real weakly stationary process with mean and autocovariance . For the density conclusion also assume .
Strict and weak stationarity for integer-indexed time series: every has finite second moment, is constant, and is independent of .
Autocovariance and sample autocovariance: the autocovariance function is for .
Positive definite functions on an abelian group: a function is positive definite when every finite quadratic form is a nonnegative real number.
Bochner's theorem for LCA groups: assuming AC and DC, a continuous positive-definite function on a locally compact Hausdorff abelian group has a unique finite positive Radon representing measure on , with total mass and representation .
The Pontryagin dual of the discrete integers is the circle: for discrete additive , the dual characters are under .
Radon measure on an LCH space: a Radon Borel measure is finite on compact sets, outer regular on Borel sets, and inner regular on open sets.
The Borel sigma-algebra of a topological space and Homeomorphism, open map, closed map, embedding, and what it means for a property to be topological: a homeomorphism and its inverse carry Borel sets to Borel sets, since they carry open sets to open sets.
Every nonnegative measurable function is the increasing limit of simple measurable functions and Monotone convergence for the integral: nonnegative Borel functions are increasing limits of simple functions, and their integrals pass to that limit.
Integrable real and complex functions, and their integrals and Monotonicity and nonnegative homogeneity of the nonnegative integral: bounded real or complex Borel functions are integrable against a finite measure, and complex integrals are defined from the real and imaginary parts.
The multiplicative unit circle is a compact metrizable topological abelian group, Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace, The rationals embed densely in the reals, Locally finite Borel measures on second-countable LCH spaces are regular, AC implies DC implies countable choice, and The Axiom of Countable Choice (): the circle is compact, Hausdorff, and second countable (intersections with rational open rectangles in give a countable base, using density of the rationals); AC [A1] implies countable choice. Since is a finite Borel measure by Spectral measures and the known-mean periodogram, the regularity corollary makes it Radon.
Integer exponentials are orthogonal for angular Lebesgue measure: for each integer , if and is otherwise.
The indefinite integral of a nonnegative measurable function is a measure: for nonnegative measurable , the set function is a measure.
The Lebesgue integral is linear on : integrals of integrable real functions are linear; together with [F9] this justifies integrating the real and imaginary parts separately.
A uniform limit of continuous complex-valued functions is continuous: a uniform limit of continuous complex functions is continuous.
The topology of pointwise convergence on , which is the product topology, and its restriction to and The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space: each evaluation map is the restriction of a continuous product projection, hence is Borel measurable on .
The Axiom of Choice: every family of nonempty sets has a choice function; this is assumed in the Bochner theorem [F4].
The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain: dependent choice is assumed in the Bochner theorem [F4].
Proof
For any finite integers and complex numbers , finite second moments make square-integrable. Expanding its squared modulus and using stationarity gives Thus is positive definite on the additive group by [F1]–[F3].
Now assume absolute summability and define . For every , the tail is bounded uniformly in by , which tends to zero; finite partial sums are continuous, so the series converges uniformly to a continuous function by [F14].
For each , set Using in [F3] for and grouping pairs by gives Moreover, and the right side tends to zero: first make the absolutely summable tail small, then let on the remaining finite sum. Thus uniformly, so is real and nonnegative.
Give the discrete topology. Every singleton is compact and open, distinct integers have disjoint open singleton neighborhoods, and maps from a discrete space are continuous; hence is a locally compact Hausdorff abelian topological group and is continuous. By [F4] and step 1.1, there is a unique finite positive Radon measure on with Use the homeomorphism from [F5] and define for Borel . Images of Borel sets are Borel by [F7], so this is a finite positive Borel measure. It is finite on compact sets because maps compact sets to compact sets. For Borel , outer regularity of gives an open with ; then is open, contains , and . For open , inner regularity gives compact with ; then is compact in and . Thus is Radon by [F6]. For any nonnegative Borel on , Indeed the identity holds for indicators by the definition of , hence for nonnegative simple functions by finite addition, and for nonnegative Borel functions by increasing simple approximation and monotone convergence [F8]. It also holds for bounded complex Borel by applying that argument to its positive and negative real and imaginary parts; these are integrable by [F9] because both measures are finite. Taking and using [F5] proves . Also . If another finite positive Radon measure on represents , let for Borel . It is finite on compact sets because maps compact sets to compact sets. For Borel , outer regularity of gives open with ; then is open, contains , and . For open , inner regularity gives compact with ; then is compact in and . Thus is Radon by [F6] and [F7]. The same indicator/simple/monotone argument gives for bounded Borel . Taking shows represents ; uniqueness in [F4] gives . Hence for every Borel . The integrands are Borel by [F15], so the representing integrals are defined.
Put . Absolute summability gives . For , the finite sum and [F11] give If and , then . By [F9], [F13], and , the integrals of the real and imaginary parts each lie between and : subtracting either part from the constant or adding it to that constant gives a nonnegative function, so monotonicity and linearity apply. The complex integral is the real-part integral plus times the imaginary-part integral [F9], hence its modulus is at most the sum of the two absolute values, . This tends to zero. Hence By [F12], is a measure; it is finite and positive since and . It is Radon: for a Borel , outer regularity of [F10] gives open with , hence . Countable additivity [F12] then yields . For open , inner regularity gives compact with , hence and by [F12]. These are the regularity clauses in [F6]. Thus is a finite positive Radon measure representing , and uniqueness in [F4] gives , with the stated density.
Expected periodogram and smoothed spectral-density bias
Statement
Let be a real weakly stationary process with known mean and autocovariance . For every and , its known-mean periodogram from Spectral measures and the known-mean periodogram satisfies If is any spectral measure for , this is equivalently the finite-sample Fejér convolution If , the right side is .
The finite expectation identity and the convolution identity for a supplied spectral measure use no choice principle. Assume Countable Choice for the angular Lebesgue measure and the smoothing conclusion below, as required by the measure convention in Spectral measures and the known-mean periodogram.
For the smoothing definition in Spectral measures and the known-mean periodogram, suppose , where is continuous at . Let be as defined there and let satisfy and . Then the weights are defined for all sufficiently large , and This is a bias limit for the smoothed estimator; it asserts no variance consistency, raw-periodogram consistency, central limit theorem, or interval coverage.
Facts & Assumptions
Given: A real weakly stationary process with known mean and autocovariance . For the spectral-measure identity assume a finite positive Radon measure satisfies . For the smoothing conclusion also assume Countable Choice, , with integrable and continuous at , and , , .
Spectral measures and the known-mean periodogram: the known-mean periodogram is .
Strict and weak stationarity for integer-indexed time series and Autocovariance and sample autocovariance: each has finite second moment, the mean is , and covariance depends only on the lag with .
Moments, variance, and covariance on a probability space: covariance of square-integrable real variables is the expectation of their centered product.
Spectral measures and the known-mean periodogram: a supplied spectral measure has Fourier coefficients , and means is a spectral density.
Spectral measures and the known-mean periodogram: the normalized finite-sample Fejér kernel is .
Spectral measures and the known-mean periodogram: the periodized kernel and the finite normalized Fourier-grid weights define when their denominator is positive.
Integer exponentials are orthogonal for angular Lebesgue measure: under the unnormalized angular measure, for and for nonzero integer .
The Axiom of Countable Choice (): Countable Choice supplies the angular Lebesgue measure and orthogonality fact [F7], and is used only in the density/smoothing branch.
Linearity, monotonicity, and the modulus bound for expectation: expectation is linear for finite sums of integrable random variables and deterministic weights.
, and the complex exponential extends the real exponential, , , and , Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive, and Parity and the Pythagorean identity for sine and cosine: Euler's identity and the exponential law give , and the Pythagorean identity gives .
Spectral measures and the known-mean periodogram: circular angular distance is .
Proof
Proof technique: Expand the finite square exactly, then use the nonnegative Fejér kernels as an approximate identity on the circle.
Expand the finite squared modulus in . By [F2] and [F3], , so All sums are finite and all terms integrable.
Since is continuous and , it is positive on some interval with . The nearest point of the Fourier grid is within of ; because , eventually , so the denominator defining the weights is positive. Every positive weight is supported at a grid point within circular distance of , where contains the support of ; this distance tends to zero.
For each with , exactly ordered pairs have . Grouping the sum in step 1.1 by gives the asserted finite Fourier sum.
If a spectral measure is supplied, substitute into the finite double sum and interchange the finite sum and integral. The resulting integrand is which proves the Fejér convolution formula. When , substitute that density in the same integral.
The kernel is nonnegative. Expanding its finite square and applying [F7] to each term gives . When , steps 2.2 and [F4] also give as a normalized Fejér average of .
For , if , choose its representative in , so by [F11]. Put . Finite cancellation gives By [F9], by [F10], and . Therefore Given , continuity of at gives a positive radius; shrink it so that and when . If , split the integral for into that neighborhood and its complement. The first part has modulus at most because has integral one; on the complement : choose minimizing integers for and . Then by [F11] and the real triangle inequality. Since the first term is at least and the last term is less than , the displayed kernel bound makes the second part at most which tends to zero uniformly for all such . Hence tends uniformly to as ranges over any neighborhoods of whose radii tend to zero.
For all sufficiently large , the weights are nonnegative and sum to one, and every grid point receiving positive weight lies in a shrinking neighborhood of . Finite-sum linearity of expectation [F8] therefore gives by the uniform local convergence in step 4.1.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Dikran D. Dikranjan, Introduction to Topological Groups, Section 7.1, Example 7.1(2)
- Lynn H. Loomis, Introduction to Abstract Harmonic Analysis, Chapter VII, Section 35E
- Dewei Wang, STAT 720 Time Series Analysis, Theorem 4.2 and Corollary 4.2
- Nicolai Meinshausen, Time Series Analysis: Notes for the course HS 2022, Sections 3.1–3.3
- Evgeny Spodarev, Spatial Statistics: Lecture Notes (2024), Section 2.3
- Dewei Wang, STAT 720 Time Series Analysis, Section 4.2
- Nicolai Meinshausen, Time Series Analysis: Notes for the course HS 2022
- Nicolai Meinshausen, Time Series Analysis: Notes for the course HS 2022, Section 3.1
- Evgeny Spodarev, Spatial Statistics: Lecture Notes (2024), Section 2.3, Lemmas 2.10 and 2.14