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The Maximal Function and Lebesgue Differentiation — 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
- 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
- Density Separability and Convolution in Lᵖ
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- 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
- 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
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- 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
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- 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 Maximal Function and Lebesgue Differentiation
- 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
These examples keep the design’s concrete leaves local to MT-17. The page computes the maximal function of the unit-interval indicator, shows its nonintegrable tail, exhibits a unit-mass spike with the weak-type scaling, records the class-level nature of Lebesgue points through , and shows an endpoint with density one half.
The remaining items sharpen the density and differentiation theorems: a compact positive-measure set can still miss part of every interval, Steinhaus drops out quickly from density points, no measurable set has density one half in every interval, and a bounded locally integrable function can still fail to differentiate on a singleton null set.
3 · Logical flowchart
4 · Definitions, theorems and proofs
The centered maximal function of on
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let on . Then the centered maximal function is In particular and at infinity.
Facts & Assumptions
Given: The Axiom of Countable Choice and the function on .
The centered maximal function is the supremum of normalized averages of over centered intervals. (The centered and uncentered Hardy-Littlewood maximal functions)
Verification
Let , and let with . If , then [L1, given, algebra] and the average is . If , then , so the average is which increases with . If , then contains , so the average is , which decreases with . The maximum is therefore attained at , with value .
If , choose ; then , so [L1, given, choose, algebra] the average equals . Since no average of an indicator can exceed , one has on .
The same calculation with the reflected interval shows that for the [step 1.1, algebra] maximum is attained at and equals . At the endpoints this gives .
Steps 1.1, 1.2, and 2.1 give the displayed formula.
The maximal function of is not integrable
Statement refuted
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
The centered maximal function of belongs to .
Facts & Assumptions
Given: The Axiom of Countable Choice and the function on .
The centered maximal function is (The centered and uncentered Hardy-Littlewood maximal functions)
Counterexample
Let and take the centered interval , which has centre [L1, given, algebra] and contains . Then [L1] gives
Therefore [step 1.1, algebra] Letting shows . Hence .
So the displayed claim is false.
A unit-mass spike has a large maximal superlevel set
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
For , define Then , and for every , Consequently, for every ,
Facts & Assumptions
Given: The Axiom of Countable Choice, a real number , and the spike .
The centered maximal operator is weak type . (The centered Hardy-Littlewood maximal operator is weak type )
Verification
One has [given, algebra]
If , then the centered interval contains the [L1, given, algebra] support of , so
If and , then [step 1.2, algebra] step 1.2 gives . Therefore so
This explicit family matches the weak-type scale from [L1] on a [L1, step 1.1, step 2.1] unit- example.
The class of has every point as a Lebesgue point
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let on . Then the class of is the zero class, and its Lebesgue set is all of .
Facts & Assumptions
Given: The Axiom of Countable Choice and the Dirichlet function on .
The Lebesgue set of a class consists of the points where some representative has vanishing averaged oscillation. (Lebesgue points and the Lebesgue set of an class)
Every countable subset of is Lebesgue null. (Every at most countable subset of is Lebesgue null; in particular )
Verification
The set is countable, so [L2] gives [L2, given] almost everywhere. Thus the class of is the same as the class of the zero function.
For the zero representative and every , [L1, step 1.1, algebra] Therefore every point is a Lebesgue point of the zero representative, so by [L1] the Lebesgue set of the class is all of .
An endpoint of an interval has density one half, not one
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
For , the endpoint is not a density-one point of ; instead,
Facts & Assumptions
Given: The Axiom of Countable Choice and the interval .
Density is computed by when the limit exists. (Density of a measurable set at a point)
The interval has measure and has measure . (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Verification
For every , [L2, given, algebra] so [L2] gives
The ratio in step 1.1 is constant for all sufficiently small , so [L1] [L1, step 1.1] gives . In particular is not a density-one point of .
A positive-measure compact set can miss part of every interval
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
There exists a compact set with positive Lebesgue measure such that every nonempty open interval in contains a point outside .
Facts & Assumptions
Given: The Axiom of Countable Choice and the unit interval .
The rationals are countable. ( is countably infinite)
The geometric series satisfies (For , , and for the series diverges)
Lebesgue measure is countably subadditive on measurable sets. (Finite and countable subadditivity of measures)
A subset of is compact if and only if it is closed and bounded. (A subset of is compact if and only if it is closed and bounded)
The interval has Lebesgue measure . (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Verification
Enumerate as using [L1]. For each [L1, given, choose, construct] , choose an open interval centred at of length below , and put The set is open and dense in because every nonempty open [L1, L2, L3, given, choose, construct, algebra] interval in contains a rational point and hence meets . Also [L3] and [L2] give
Define [L4, L5, step 1.1, algebra] Then is closed and bounded, hence compact by [L4]. By [L5] and step 1.1, so has positive measure. Let be a nonempty open interval in . If is not [L4, L5, step 1.1, algebra] contained in , then already contains a point outside . If , then step 1.1 gives , so contains a point outside . Thus every nonempty open interval contains a point outside .
The compact set therefore has positive measure while missing part of [step 2.1] every interval.
Steinhaus follows in two lines from the density theorem
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
If is Lebesgue measurable and , then the difference set contains an open neighbourhood of .
Facts & Assumptions
Given: The Axiom of Countable Choice and a measurable set with .
Almost every point of is a density-one point of . (Lebesgue density theorem)
Lebesgue measure is translation invariant. (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation)
Ball measures vary continuously with the radius. (For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it)
Verification
By [L1], choose a density-one point . Then there is such that [L1, L3, given, choose] Because [L3] makes the ball measure continuous in the radius, choose with If , then so Therefore
Fix . Translation invariance [L2] gives [L2, step 1.1, algebra] Together with step 1.1, both and have measure greater than half of , so they intersect. Choose . Then and , so .
Every with lies in , so contains the open [step 2.1] ball .
FALSE: some measurable set has density one half in every interval
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
There is a Lebesgue measurable set such that for every nondegenerate bounded interval .
Facts & Assumptions
Given: The Axiom of Countable Choice, and assume there is a measurable set with half-density in every nondegenerate bounded interval.
Almost every point of a measurable set is a density-one point of that set. (Lebesgue density theorem)
The interval has measure . (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Refutation
Applying the hypothesis to and [L2], one gets [L2, given, algebra] So has positive measure.
By [L1], almost every point of is a density-one point of . Choose [L1, step 1.1, given, choose, contradiction: density at x, discharge-contradiction] such a point . But the hypothesis applied to every interval gives so the density of at is , not . This contradiction refutes the claim.
A locally integrable function can fail to differentiate on a null set
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Define Then is bounded and locally integrable, but the averages do not converge as . Thus differentiation can fail on the null set .
Facts & Assumptions
Given: The Axiom of Countable Choice and the function above.
Ball averages are the normalized interval averages in one dimension. (The average of a locally integrable function over a Euclidean ball)
Lebesgue differentiation holds almost everywhere for locally integrable functions. (Lebesgue differentiation theorem on )
Verification
The function takes only the values and , so it is measurable and [given, algebra] bounded by . Hence it is locally integrable on .
For , the set on which inside is [L1, given, algebra] exactly the disjoint union whose total length is Therefore
For , the set on which inside is [L1, step 1.2, algebra] exactly whose total length is Hence
Steps 1.2 and 2.1 give two sequences of radii tending to along which [L2, step 1.2, step 2.1] tends to different values. So has no limit as . This does not contradict [L2], because the exceptional set here is the singleton null set .
5 · Examples, counterexamples and false statements
None yet.
Sources
- G. H. Hardy and J. E. Littlewood, A maximal theorem with function-theoretic applications, Section IV
- G. H. Hardy and J. E. Littlewood, A maximal theorem with function-theoretic applications, Section I
- Terence Tao, An Introduction to Measure Theory, Theorem 1.6.20
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.20
- Walter Rudin, Real and Complex Analysis, 3rd ed., Chapter 7
- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.26(i)
- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.25
- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.26(ii)
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.18