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Fejer and Poisson Summability of Fourier Series - Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Dirichlet Kernel Localisation and Pointwise Fourier Convergence
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Fejer and Poisson Summability of Fourier Series
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hereditary and Productive Behaviour of the Separation Axioms
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- 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
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Pointwise Extended-Real Function Products
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- 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 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 ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The companion page records the clean coefficient computations behind the two positive kernels, a standard square-wave summation example, and two boundary counterexamples: uniform convergence fails without continuity of the target representative, and Abel summability does not reverse to ordinary convergence.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Fejer means of a single character
Example
Let . For every ,
Facts & Assumptions
Given: An integer and an integer .
The Cesaro means are defined by (Cesaro and Abel means of a Fourier series).
Verification
The Fourier coefficients of vanish except at , where the coefficient is . Hence
If , then every term in the Cesaro average from [L1] is , so . If , then exactly of the terms equal , and therefore This is the same as the displayed formula, and for it gives and for .
Poisson integral of a single character
Example
Let and . Then
Facts & Assumptions
Given: An integer and a parameter with .
The Abel means are defined by (Cesaro and Abel means of a Fourier series).
Verification
The Fourier coefficients of vanish except at , where the coefficient is . Substituting into [L1] leaves only one term:
Since step 1.1 holds for every , it is exactly the asserted identity .
Fejer summation of the square wave
Example
Let be the one-periodic square wave defined by
with . Then
and
Moreover for every and every , so these positive means recover the midpoint value without a fixed Gibbs overshoot.
Facts & Assumptions
Given: The one-periodic square wave above.
The Cesaro means are defined by averaging Fourier partial sums (Cesaro and Abel means of a Fourier series).
The Fejer kernels are nonnegative and have Riemann integral (The Fejer kernel is a positive approximate identity).
Verification
Direct integration gives for every and Hence
Averaging the partial sums from step 1.1 as in [L1] shows that the odd mode appears with weight when and with weight otherwise. This is exactly the displayed formula for .
Every term of the finite sine sum in step 2.1 vanishes at , so for every . Also [L1] and [L2] give where the integral is Riemann because is a step function. Since , positivity and total mass one imply for every . Thus the Fejer means average across the jump and do not exhibit a fixed overshoot.
Fejer means need not converge uniformly for discontinuous data
Statement refuted
For every one-periodic integrable function , the Fejer means converge uniformly to .
Facts & Assumptions
Given: The one-periodic step function with .
The Fejer means are averages of the Fourier partial sums (Cesaro and Abel means of a Fourier series).
Counterexample
For each , the function is a trigonometric polynomial for every , so [L1] makes a trigonometric polynomial as well. In particular, every is continuous.
If converged uniformly to , then the uniform limit of the continuous functions would be continuous. But the chosen has a jump at , so it is discontinuous. Therefore uniform convergence to is impossible. This single step function refutes the universal statement.
Abel summability does not imply ordinary convergence
Statement refuted
If a series is Abel summable, then its ordinary partial sums converge.
Facts & Assumptions
Given: Grandi's series
For , the geometric-series identity gives
Counterexample
The ordinary partial sums are so they do not converge.
For , [F1] makes the associated Abel sum As , this tends to . Thus the series is Abel summable but not ordinarily convergent, refuting the statement.