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The Maximal Function and Lebesgue Differentiation
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
- 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
- Signed and Complex Measures Hahn and Jordan
- 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 Radon Nikodym Theorem and Lebesgue Decomposition
- 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
This page builds the Euclidean maximal-function and differentiation package in
the route fixed by the MT-17 design. Ball averages and the centered and
uncentered maximal functions are defined separately, measurability of the
centered maximal function is proved as a theorem rather than treated as obvious,
and the weak (1,1) estimate keeps the honest 5^n constant from the Vitali
selection argument.
The second half of the page turns the maximal inequality into differentiation:
continuous compactly supported functions differentiate first, then the full
Lebesgue differentiation theorem follows by density and error-set control, and
the page closes with Lebesgue points, density points, nicely shrinking
families, differentiation of measures, and the L^1 first fundamental theorem
of calculus. In the current library route, the measure-theoretic parts of this
package inherit the Axiom of Countable Choice from the published Lebesgue
measure regularity and density inputs they cite.
3 · Logical flowchart
4 · Definitions, theorems and proofs
A locally integrable function on
Definition
Let be a measurable function (Borel measurable and Lebesgue measurable functions on ). We say that is locally integrable on if for every Euclidean ball with (Open ball, closed ball and sphere in a metric space) one has so the restriction of to each ball is integrable in the sense of Integrable real and complex functions, and their integrals.
The set of such functions is denoted by . When convenient, the same notation is also used for the corresponding almost-everywhere equivalence classes.
Euclidean balls have positive finite Lebesgue measure
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let , let , and let . Then the Euclidean ball is Lebesgue measurable and satisfies
Facts & Assumptions
Given: The Axiom of Countable Choice, an integer , a point , and a real radius .
The Euclidean ball is . (Open ball, closed ball and sphere in a metric space, as the set of functions , and , , are metrics on it)
Every box between its open and closed forms is Lebesgue measurable with its usual volume. (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Open balls in any metric space are open; the Euclidean distance is a metric on for . (Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed, clause 1; as the set of functions , and , , are metrics on it)
Under Countable Choice, every Borel subset of , in particular every open subset, is Lebesgue measurable. (Assuming countable choice, every Borel subset of is Lebesgue measurable)
Under Countable Choice, is a measure on the Lebesgue sigma-algebra, and measures are monotone on measurable inclusions. (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume, clause 1; Measures are monotone)
Proof
If , then [L1, algebra] so the open cube is contained in . On the other hand, implies for every coordinate, so .
The ball is open in the Euclidean metric by [L3], hence Borel and Lebesgue measurable by [L4] under the stated Countable Choice. The two cubes from step 1.1 are measurable by [L2], with measures [step 1.1, L2, L3, L4, algebra] Since lies between them, monotonicity [L5] gives
Therefore is Lebesgue measurable of positive finite measure.
The average of a locally integrable function over a Euclidean ball
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let (A locally integrable function on ), let , and let . The ball average of over is
The denominator is well defined because Euclidean balls have positive finite Lebesgue measure shows that every Euclidean ball has positive finite Lebesgue measure.
The centered and uncentered Hardy-Littlewood maximal functions
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . The centered Hardy-Littlewood maximal function of is
The uncentered Hardy-Littlewood maximal function of is where the supremum is over all Euclidean balls containing .
Both functions take values in .
Sublinear operators and weak or strong type bounds
Definition
Let and be measure spaces, and let assign to each measurable function on a measurable function on .
The operator is sublinear if for all scalars and measurable functions one has
For and , we say that is of strong type if there is a constant such that for every (The space as the quotient by null functions, The space of essentially bounded measurable functions).
For and , we say that is of weak type if there is a constant such that for every and every , Equivalently, the distribution function of (The distribution function of absolute value) obeys
Lebesgue points and the Lebesgue set of an class
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let (A locally integrable function on ).
For a representative of that class, a point is a Lebesgue point of if
The Lebesgue set of the class is the set
The later theorem on Lebesgue points shows that different representatives of the same class change this set only by a null set.
Density of a measurable set at a point
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let be Lebesgue measurable (Lebesgue measurable sets, the family , and the restricted set function ), and let . If the limit exists, the density of at is where the denominator is positive and finite by Euclidean balls have positive finite Lebesgue measure.
When , we call a density-one point of ; when , we call a density-zero point of .
A family shrinking nicely to a point
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . A family of Lebesgue measurable subsets of shrinks nicely to if there is a constant such that for every ,
The constant is part of the data: later comparison estimates depend on it explicitly.
Vitali covering lemma for Euclidean balls with fivefold dilates
Statement
For a ball , write .
-
Let be a finite family of Euclidean balls in . Then there is a pairwise disjoint subfamily such that Consequently, under the Axiom of Countable Choice,
-
Let be a countable family of Euclidean balls whose radii are bounded above. Then there is a finite or countably infinite index set such that is pairwise disjoint and
The two geometric covering assertions require no choice principle. Countable choice is used only for the displayed Lebesgue-measure consequence.
Facts & Assumptions
Given: A family of Euclidean balls in .
The Euclidean balls are the sets . (Open ball, closed ball and sphere in a metric space)
Under countable choice, Lebesgue measure scales by under dilation by and is translation invariant. Since , this gives . (The Axiom of Countable Choice (), For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it, Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation)
Ordinary recursion defines a unique sequence from a fixed successor rule; stage-dependent rules are obtained by carrying the stage as part of the state. (The recursion theorem)
Proof
If the finite family is empty, use the empty subfamily. Otherwise retain a ball of maximal radius, breaking ties by least index. Repeat among the remaining balls disjoint from every retained ball, and stop when none remain. There are at most selections. The retained balls are pairwise disjoint by construction, and the tie rule makes every selection determined.
For the countable family, fix a positive upper bound for its radii. Let for ; these partition the positive radii. Given the retained indices in earlier classes, inspect and retain exactly when and its ball is disjoint from every earlier retained ball. Inner recursion on and outer recursion on define this rule by [L3], taking the union of each inner sequence before the next class. Every decision is determined, so there is no countable choice of balls. The retained subfamily is pairwise disjoint.
In the finite family, a chosen ball lies in its own fivefold dilate. For an unchosen , take the first chosen ball meeting it. At that stage was eligible, so . For and , the centre distance satisfies . Hence . Thus every original ball lies in a chosen fivefold dilate.
Let be any original ball that was not chosen in the countable construction, and let . When the algorithm inspected , some previously chosen ball already met ; otherwise would have been retained. If with , then If instead , then both balls lie in the same dyadic class, so In either case, Choose and . Then so again . Let be the set of retained indices. This set is finite or countably infinite, and chosen balls are also contained in their own fivefold dilates; hence
For the measure consequence, assume countable choice as required by [L2]. Finite subadditivity and the established inclusion give . This is the only use of countable choice in this proof.
Steps 3.1 and 2.2 prove the finite and countable forms.
Ball averages vary continuously with the centre and radius
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . The map is continuous.
Facts & Assumptions
Given: The Axiom of Countable Choice, a locally integrable function , a point , and a sequence with .
The ball average is (The average of a locally integrable function over a Euclidean ball)
Euclidean balls have positive finite Lebesgue measure. (Euclidean balls have positive finite Lebesgue measure)
Lebesgue measure scales by under dilation by . (For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it)
Dominated convergence passes pointwise almost-everywhere limits through an integrable majorant. (Dominated convergence)
Proof
Choose with . For all sufficiently large , [given, choose, algebra] and . Then Since is locally integrable, the function is integrable.
Put and . [algebra] If , then , so for all sufficiently large the membership of in agrees with its membership in . Thus for every .
The boundary sphere satisfies [L2, L3, algebra] By [L2] and [L3], so .
By [L2] and [L3], [L2, L3, algebra] The limit denominator is positive by [L2].
Steps 1.1, 1.2, and 1.3 let us apply [L4] to [step 1.1, step 1.2, step 1.3, L4] , dominated by , and obtain In other words,
Combining steps 2.1 and 1.4 yields [L1, step 2.1, step 1.4, algebra] Since the approximating sequence was arbitrary, is continuous.
The centered Hardy-Littlewood maximal function is Borel measurable
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . Then the centered maximal function is Borel measurable.
Facts & Assumptions
Given: The Axiom of Countable Choice and a locally integrable function on .
The centered maximal function is (The centered and uncentered Hardy-Littlewood maximal functions)
For every locally integrable function , the map on is continuous. (Ball averages vary continuously with the centre and radius)
Proof
Fix a real . If , then , which is open. [given] Assume from now on that .
Let . By [L1], there is with . Apply [L1, L2, given, choose] to the locally integrable function : continuity of at gives such that Hence .
Step 1.2 shows that every point of is interior, so this [step 1.2] superlevel set is open.
Every strict superlevel set of is open, so is Borel measurable. [step 1.1, step 2.1]
The centered and uncentered maximal functions are pointwise comparable
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . Then for every ,
Facts & Assumptions
Given: The Axiom of Countable Choice, a locally integrable function on , and a point .
The centered maximal function takes the supremum over balls centered at , while the uncentered maximal function takes the supremum over all balls that contain . (The centered and uncentered Hardy-Littlewood maximal functions)
Lebesgue measure scales by under dilation by . (For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it)
Proof
Every ball centered at is in particular a ball containing , so the [L1] supremum defining is taken over a smaller family than the one defining . Therefore .
Let be any ball containing . If , then [L1, algebra] so . Hence
Step 1.2 and [L2] give [step 1.2, L1, L2, algebra] Taking the supremum over all balls containing yields .
Combining steps 1.1 and 2.1 gives the claimed comparison. [step 1.1, step 2.1]
The centered Hardy-Littlewood maximal operator is weak type
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let and let . Then In particular, the centered maximal operator is of weak type .
Facts & Assumptions
Given: The Axiom of Countable Choice, a function , and a real number .
The centered maximal function is (The centered and uncentered Hardy-Littlewood maximal functions)
For a locally integrable function, the ball-average map is continuous on . (Ball averages vary continuously with the centre and radius)
Lebesgue measure on is inner regular by compact sets on open sets. (Assuming countable choice, the Lebesgue measure of a measurable set is the supremum of the measures of its compact subsets)
A finite family of balls admits a disjoint subfamily whose fivefold dilates cover the original union, with the measure estimate (Vitali covering lemma for Euclidean balls with fivefold dilates)
The norm is (The class of integrable functions)
Proof
Put . For a fixed , [L1] supplies a radius with . Continuity [L2] with this fixed radius makes the inequality persist in a neighbourhood of , so is open. Let be compact. If , the required bound for is immediate. Otherwise take the family of ALL balls with , and the strict witness inequality. This family covers , so it has a finite subcover . No simultaneous choice of a radius for every point of is made.
Apply [L4] to that finite subcover. There are pairwise disjoint balls [step 1.1, L4, L5, algebra] among such that and therefore Each chosen ball still satisfies the witness inequality from step 1.1, so because the chosen balls are pairwise disjoint. Hence
By [L3], is the supremum of over compact . Step 2.1 gives the required upper bound for nonempty , and step 1.1 handles the empty set. Hence . The stated countable choice covers [L3] and the measure clause of [L4]; the finite-subcover argument introduces no stronger selection assumption.
This is exactly the weak type estimate for the centered maximal [step 3.1] operator.
The centered maximal operator is bounded on
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . Then In particular, is of strong type with operator norm at most .
Facts & Assumptions
Given: The Axiom of Countable Choice and a function .
The centered maximal function is (The centered and uncentered Hardy-Littlewood maximal functions)
The norm is the essential supremum. In particular, almost everywhere. (The space of essentially bounded measurable functions)
Proof
Fix and . By [L2], [L1, L2, given, algebra] Dividing by gives
Taking the supremum of the inequality from step 1.1 over all yields [step 1.1, L1, algebra] . Since was arbitrary, the centered maximal operator is bounded on with norm at most .
Marcinkiewicz interpolation from weak and strong
Statement
Let be a measure space, let be a sublinear operator on measurable functions, and suppose:
- is of weak type with constant ;
- is of strong type with constant .
Then for every and every , In particular, is of strong type for every .
Facts & Assumptions
Given: A measure space , a sublinear operator , constants , an exponent , and a function .
Sublinearity, weak type , and strong type are as defined in Sublinear operators and weak or strong type bounds.
The distribution function of a measurable function is (The distribution function of absolute value)
For , for every measurable . (For 0 < p < infinity, the layer-cake formula computes the integral of |f|^p from the distribution function)
For nonnegative measurable , the set function is a measure, and for nonnegative measurable . (The indefinite integral of a nonnegative measurable function is a measure, Integrating against a density agrees with integrating the product)
Proof
Fix and , and put . Since the strong [L1, given, construct, algebra] bound with constant also holds with the larger constant , split Sublinearity gives Since , the strong bound with constant yields Therefore
On one has , so because . Apply the weak bound: [L1, step 1.1, algebra]
Using [L3] with and then step 2.1, [L2, L3, step 2.1, algebra]
Define the positive measure by [L4]. Apply [L3] with exponent , function , and measure ; then substitute in the one-dimensional nonnegative integral from step 3.1. This gives By [L4], the last integral is . Hence This uses no sigma-finiteness assumption on .
Taking th roots in step 4.1 gives [step 4.1, algebra] Because was arbitrary, letting yields Thus is of strong type for every .
The centered maximal operator is bounded on for
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . Then there is a constant such that every satisfies By comparison, the same is true for the uncentered maximal function.
Facts & Assumptions
Given: The Axiom of Countable Choice, an exponent , and a function .
The centered maximal operator is of weak type with constant . (The centered Hardy-Littlewood maximal operator is weak type )
The centered maximal operator is of strong type with operator norm at most . (The centered maximal operator is bounded on )
A sublinear operator of weak type and strong type is of strong type for every . (Marcinkiewicz interpolation from weak and strong )
One has pointwise. (The centered and uncentered maximal functions are pointwise comparable)
Proof
The maximal operator is sublinear by definition of supremum and absolute [L1, L2, L3, given, algebra] values. Apply [L3] with the constants from [L1] and [L2]. This yields a constant such that
Step 1.1 proves the centered estimate. Then [L4] gives [step 1.1, L4, algebra] so the uncentered estimate follows as well.
Continuous compactly supported functions are recovered by small ball averages
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let and let . Then
Facts & Assumptions
Given: The Axiom of Countable Choice, a function , and a point .
The class consists of continuous functions on with compact support. (The spaces and )
The ball average is (The average of a locally integrable function over a Euclidean ball)
Proof
Let . Since is continuous at by [L1], there is [L1, given] such that
For , every satisfies the hypothesis of step 1.1, [step 1.1, L2, algebra] so
Because step 2.1 holds for every , one has [step 2.1] as .
Lebesgue differentiation theorem on
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . Then for Lebesgue-almost every .
Facts & Assumptions
Given: The Axiom of Countable Choice and a function .
Continuous compactly supported functions are recovered by small ball averages at every point. (Continuous compactly supported functions are recovered by small ball averages)
For , is dense in . ( is dense in for )
Chebyshev-Markov controls superlevel sets by the integral. (Chebyshev-Markov inequality for the integral)
The centered maximal operator is weak type . (The centered Hardy-Littlewood maximal operator is weak type )
Under Countable Choice, is a complete measure on the Lebesgue sigma-algebra of (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume). For measurable sets, finite and countable unions have measure at most the corresponding sum, and inclusion implies monotonicity (Finite and countable subadditivity of measures, Measures are monotone). In particular a countable union of measurable -zero sets has measure zero.
Proof
For each integer and each integer , apply [L2] to the [L2, given, choose, construct] function and choose such that Set
Let [L3, L4, L5, step 1.1, algebra] Both sets are Lebesgue measurable: the maximal superlevel set is open by the ball-average continuity argument in [L4], and is measurable. Finite subadditivity [L5], [L4] and [L3] give
For fixed , put [step 2.1, algebra] The sets , their countable unions, and are measurable by [L5]. By countable subadditivity [L5] and step 2.1 For every , inclusion and monotonicity [L5] give . Given , choose with ; thus . This uses small positive tail measures, without asserting that any is null.
Let . Then there is such that [L1, step 1.1, step 3.1, algebra] for every . Fix such a and take . Since , one has , so Therefore Now [L1] gives , so for every . Letting yields .
The bad set for radius differentiation is contained in [step 3.1, step 4.1, L5] , which is null by [L5]. Thus the convergence holds for almost every .
Almost every point is a Lebesgue point of a locally integrable function
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let . Then the Lebesgue set of the class of has full Lebesgue measure.
Equivalently, for almost every ,
Facts & Assumptions
Given: The Axiom of Countable Choice and a locally integrable function on .
A point belongs to the Lebesgue set exactly when the averaged oscillation above tends to . (Lebesgue points and the Lebesgue set of an class)
A property holds almost everywhere when its exceptional set is contained in a measurable null set. (Measure-null sets and almost-everywhere statements relative to a measure)
The rationals are countably infinite, and the product of two at most countable sets is at most countable. ( is countably infinite, A product of two at most countable sets is at most countable)
Rationals are dense in the reals. (The rationals embed densely in the reals)
Under Countable Choice, is a complete measure on the Lebesgue sigma-algebra of (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume). Countable subadditivity gives for every sequence of measurable -null sets (Finite and countable subadditivity of measures).
If , then for almost every . (Lebesgue differentiation theorem on )
Proof
Let [L3, L5, L6, given, construct] By [L3], is countable. For each , the function is locally integrable, so [L6] and [L2] give a measurable -null set containing all exceptions such that for every . Put By [L5], is null.
Fix and let . By density [L4], choose [step 1.1, L4, algebra] with . Then for every , Taking and using step 1.1 gives Since is arbitrary, the limit is .
Step 2.1 holds for every , and is null. By [L1] and [L2], [L1, L2, step 1.1, step 2.1] the Lebesgue set of the class of has full measure.
Lebesgue density theorem
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let be Lebesgue measurable. Then
- for almost every ;
- for almost every .
Facts & Assumptions
Given: The Axiom of Countable Choice and a Lebesgue measurable set .
The density of at is when the limit exists. (Density of a measurable set at a point)
Almost every point of a locally integrable function is a Lebesgue point. (Almost every point is a Lebesgue point of a locally integrable function)
Every Euclidean ball has positive finite measure. (Euclidean balls have positive finite Lebesgue measure)
Proof
Because and balls have finite measure by [L3], the [L2, L3, given, algebra] indicator is locally integrable. Apply [L2] to . There is a null set such that every is a Lebesgue point of .
Let . Then , and for every , [L1, step 1.1, algebra] Since the left-hand side tends to , [L1] gives .
Let . Then , and for every , [L1, step 1.1, algebra] Again the left-hand side tends to , so [L1] gives .
Steps 2.1 and 2.2 hold outside the null set , so they prove the two [step 1.1, step 2.1, step 2.2] density conclusions.
Differentiation holds along families shrinking nicely
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let , let , and suppose that for each there is a family shrinking nicely to with constant . Then for almost every , hence
Facts & Assumptions
Given: The Axiom of Countable Choice, a locally integrable function , a set , and for each a family shrinking nicely to .
Shrinking nicely means that for each there is a constant such that for every . (A family shrinking nicely to a point)
Almost every point of is a Lebesgue point. (Almost every point is a Lebesgue point of a locally integrable function)
Proof
Let be a Lebesgue point of , as supplied by [L2]. For every [L1, L2, given, algebra] , [L1] gives
Because is a Lebesgue point, the right-hand side of step 1.1 tends to [step 1.1] as . Therefore the left-hand side also tends to .
Using [step 2.1, algebra] step 2.1 immediately gives the second limit as well.
Step 3.1 holds at every Lebesgue point of , hence for almost every .
Differentiation of sigma-finite Borel measures finite on compact sets
Statement
Assume the Axiom of Choice (The Axiom of Choice), hence also countable choice (The Axiom of Countable Choice ()).
Let be a sigma-finite Borel measure on that is finite on compact sets. Write for its Lebesgue decomposition on the Borel sigma-algebra relative to the restriction of Lebesgue measure, and choose a Borel measurable representative of the Radon-Nikodym class . Then for Lebesgue-almost every , More generally, let , and suppose that for each a family of Borel sets shrinking nicely to is specified. Then for Lebesgue-almost every ,
Facts & Assumptions
Given: The Axiom of Choice and a sigma-finite Borel measure on that is finite on compact sets. All measure decompositions are on the common Borel sigma-algebra; the resulting Borel density is also Lebesgue measurable.
Such a measure admits a Lebesgue decomposition and the Radon-Nikodym class has a measurable representative . (Every sigma-finite signed measure admits a Lebesgue decomposition relative to a sigma-finite positive measure, A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density, The Radon-Nikodym derivative as an almost-everywhere equivalence class)
If shrinks nicely to , then for almost every . (Differentiation holds along families shrinking nicely)
Borel sets are Lebesgue measurable; bounded Borel sets have finite Lebesgue measure. Closed bounded Euclidean sets are compact. (Assuming countable choice, every Borel subset of is Lebesgue measurable, Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure, Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line)
Assuming the Axiom of Countable Choice, Lebesgue measure is inner regular by compact subsets on measurable sets in . (Assuming countable choice, the Lebesgue measure of a measurable set is the supremum of the measures of its compact subsets)
Increasing measurable unions pass through positive measures. (Continuity from below for measures)
Lebesgue measure is translation invariant and scales by under positive dilations. Every open ball is Borel, contains an open cube of positive volume, and is bounded; thus its measure is positive and finite. (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation, For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, [L3])
Borel sets form the sigma-algebra generated by open sets. (The Borel sigma-algebra of a topological space)
Proof
The closed balls , , give a common finite-measure Borel exhaustion for and by [L3]. Under the given AC, [L1] therefore gives and a finite real Borel density of . Choose a Borel null set carrying . For every Borel , absolute continuity and concentration give Both components are positive and dominated by . On each finite exhaustion piece, the set where has measure zero: its density integral is at most but equals . Taking the countable union over and replacing negative values by zero yields without changing its class. For every ball, Thus .
We prove locally the outer approximation needed below. Let be any Borel measure finite on compact sets and for ; then . Every open is an increasing union of compact sets: use the sets of points of with norm at most and distance at least from its complement, . These are closed and bounded, so [L3] and [L5] approximate from inside by compact sets in -measure. Let be the Borel such that for every there are relatively closed and relatively open with and . All relatively open sets are in by the compact approximation just proved. Relative complements preserve by interchanging and . Countable unions preserve outer approximation by choosing open supersets with summable errors; they preserve inner approximation by first taking a finite partial union with small remaining measure (using and [L5]) and then taking a finite union of relatively closed approximants. Thus is a sigma-algebra, and [L7] implies that it contains every Borel subset of . In particular each such set has arbitrarily accurate relatively open outer approximations. The countable selections are covered by AC.
If is a Borel -null set, put , and for . Step 1.2 gives relatively open containing with . As is open, each is open in . Their union is an open set containing with measure less than . This proves the required null-set outer approximation without importing a later regularity theorem.
Let be a family of Borel sets shrinking nicely to with constant . Then while positivity and the defining comparison give Consequently [L2] and step 1.1 reduce both conclusions to proving for almost every .
Put , so is Borel, , and . For each , define For fixed , if and , then By [L5], as , so is lower semicontinuous. Translation invariance gives the fixed positive denominator , so each is lower semicontinuous and each set is open. For , put Then is Borel. If and choose with . Since for every , one has . Thus and it is enough to prove for every .
Fix and . By steps 1.1 and 2.1, there is an open with . Let be nonempty and compact (the empty case has measure zero). Consider all balls with and . They cover : for each , choose with , and use . Compactness gives a finite subcover. Greedily retain a largest-radius ball and discard all balls meeting it, repeating on the remaining finite family. The retained balls are disjoint. Any discarded ball of radius meets a retained one of radius ; their centres are less than apart, so every point of the discarded ball is less than from the retained centre. Hence . By [L6] and disjointness,
Since was arbitrary, step 3.1 gives for every compact . Because is Borel by step 2.3, [L4] implies Step 2.3 now shows that the set where is contained in the null set The ratios defining are nonnegative, so for almost every .
Combine step 4.1 with the comparison in step 2.2 and the differentiation theorem [L2] for the locally integrable representative . For any specified Borel families shrinking nicely to the points of , this gives for almost every . Taking and gives the ball conclusion.
The indefinite integral of an function is differentiable almost everywhere
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let and let . Define Then is differentiable for almost every and at every such point.
Facts & Assumptions
Given: The Axiom of Countable Choice, reals , and a function .
The norm is the integral of the absolute value. (The class of integrable functions)
Differentiation along families shrinking nicely recovers the point value at almost every point. (Differentiation holds along families shrinking nicely)
Proof
Extend by outside , obtaining a function on [L1, given, construct, algebra] . Because is bounded by on and vanishes elsewhere, so . For and every , define Each family shrinks nicely to with constant , because and .
Apply [L2] to the set and the family from step [L2, step 1.1, algebra] 1.1. This gives a full-measure subset such that Applying [L2] again to the family gives another full-measure subset such that Hence both one-sided limits hold for every , which still has full measure in . At such an , if is small then while for , Both one-sided limits therefore equal .
Hence for almost every .
The Hardy-Littlewood maximal operator is not strong type
Statement refuted
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
The centered Hardy-Littlewood maximal operator maps to .
More strongly, if satisfies , then .
Facts & Assumptions
Given: The Axiom of Countable Choice and a function with .
The centered maximal function is (The centered and uncentered Hardy-Littlewood maximal functions)
The norm is (The class of integrable functions)
Lebesgue measure is sigma-finite, and every bounded measurable set has finite measure. (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure)
Lebesgue measure on balls scales like under dilation. (For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it)
Counterexample
Since , the integral in [L2] is positive. Hence there is [L2, L3, given, choose, algebra] such that the measurable set has positive measure. Because and measure is countably subadditive, some satisfies the finiteness coming from [L3].
Let with . If , then [step 1.1, L1, L4, algebra] so . Since on , [L1] gives for a positive constant .
For each integer , set [step 2.1, L4, algebra] On one has , so step 2.1 yields Therefore Using [L4] again, so the right-hand side is a positive constant independent of . Since the annuli are pairwise disjoint, the integral of over diverges.
Thus whenever , so the [step 3.1] strong type claim is false.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Section 3.4
- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.14
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Lemma 3.16
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.17 and Exercise 22
- Terence Tao, An Introduction to Measure Theory, Theorem 1.6.20
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Sections 6.4-6.5
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.20
- Walter Rudin, Real and Complex Analysis, 3rd ed., Theorem 7.7
- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.24
- Walter Rudin, Real and Complex Analysis, 3rd ed., Chapter 7
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.21
- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.15
- Terence Tao, An Introduction to Measure Theory, Lemma 1.6.22
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Lemma 3.15
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., sentence after Lemma 3.16
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Exercise 22
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.17
- Walter Rudin, Real and Complex Analysis, 3rd ed., Theorem 7.4
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Corollary 6.35
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 6.28
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- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.16
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.18
- Terence Tao, An Introduction to Measure Theory, Theorem 1.6.11 and Exercise 1.6.14
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Theorem 3.22
- Walter Rudin, Real and Complex Analysis, 3rd ed., Theorems 2.18, 7.8, 7.13, and 7.14
- Terence Tao, An Introduction to Measure Theory, Theorems 1.6.11-1.6.12
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