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Measurable Densities and Radon Volume on Manifolds: 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
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Ordinary Differential Equations with Smooth Dependence
- Euclidean Surface Measure, Divergence, and Green Identities
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Integration of Forms and the General Stokes Theorem
- 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
- Manifolds with Boundary Collars and Orientations
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Densities and Radon Volume on Manifolds
- 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
- Partitions of Unity and Paracompactness
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Rank Theorems and Embedded Submanifolds
- 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
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Smooth Vector Bundles and Sections
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tangent Cotangent and the Differential
- Tensor Fields Exterior Algebra and Differential Forms
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Divergence Theorem and Classical Stokes
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- 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
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Fields Flows and Lie Derivatives
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These calculations make the intrinsic measure concrete: Euclidean boxes, a logarithmically weighted interval, overlapping circle charts, the flat Möbius strip and zero-dimensional weighted counting. The two metric balls show why relative compactness matters for finite volume. No orientation or curvature comparison is needed.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Euclidean volume from chart gluing
Example
On for , the standard density induces Borel Lebesgue measure. Its completion is ordinary Lebesgue measure. For a box with side lengths , its mass is .
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Euclidean identity-chart instance and box calculation.
Intrinsic density measure and its chart restriction: The measure of a Borel chart subset is the coordinate coefficient integral.
is exactly the completion of the restriction of to the Borel sets: Under countable choice, completing Borel Lebesgue measure gives the Lebesgue sigma-algebra and Lebesgue measure.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: The measure of any coordinate box is the product of its side lengths.
Verification
Take the identity chart on and partition . The coefficient is one, hence for each Borel , . In particular ; for the unit cube the result is one, and if a side has length zero the result is zero.
The equality on Borel sets identifies the completed domain and measure with those in the Lebesgue completion theorem. Thus the completion is . Empty sets have zero measure in both domains; the case is the usual interval-length formula.
Weighted interval volume
Example
On take . For , This density has finite mass on compact subsets of but infinite total mass.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Weighted interval; logarithmic finite pieces and explicit divergent exhaustion.
Intrinsic density measure and its chart restriction: Measure in the identity chart is the coefficient integral.
Positive smooth densities give Radon volume: A positive finite smooth density has compact-finite measure.
Borel Darboux integrands in finite dimension: Bounded Borel Riemann integrands on boxes have equal Lebesgue integrals.
Monotone convergence for the integral: Increasing nonnegative integrands satisfy monotone convergence.
A nonnegative integral over a null set vanishes: A nonnegative measurable integrand integrates to zero over a measurable null set.
A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in : A singleton is Lebesgue-null in dimension one.
Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: For positive , ; log is increasing and onto the reals.
Verification
The function is positive, finite and smooth on . On it is continuous and bounded; the logarithmic integral identity gives its Riemann integral . The Borel Darboux bridge equates the Lebesgue integral to this value. Removing the two null endpoints does not change it, so the chart formula gives . For example gives .
Every compact subset of has finite measure by the positive smooth density theorem. More explicitly, it lies in and is bounded in measure by . The increasing sets , , exhaust and have mass . Monotone convergence applied to their indicators gives . This divergence also follows without any limit identity for log: each interval contributes at least to , so these logarithms are unbounded.
Empty intervals and singletons have zero mass by the null-set formula. There is no endpoint value of the density at zero or one because neither belongs to the manifold; its blowup at the omitted zero endpoint is consistent with local finiteness.
Circle overlap weights count each arc once
Example
For take the angular charts with images and . The coefficient one in both charts defines a positive smooth density with total mass , for any subordinate partition.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Circle overlap translations and a disjoint semicircle calculation.
Intrinsic density measure and its chart restriction: Every Borel set in a chart has its coefficient integral, independent of partition.
Measurable integration extends smooth density integration: Nonnegative integration equals the sum of weighted chart integrals.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: An interval has its length as measure; a singleton has length zero.
Verification
Write for the quotient. The chart domains are and . On one overlap component , and on the other . Both derivatives equal one, so the two constant coefficients satisfy the density law.
The disjoint decomposition is . The chart formula assigns the two arcs masses and , and the endpoints mass zero. Hence .
For any subordinate pair , translate the negative-angle part of the first chart by . Translation has unit Jacobian. The chart-sum formula becomes , ignoring only the already null endpoints. Thus overlapping chart weights count each arc once. Empty arcs contribute zero.
Flat Mobius strip density measure
Example
Let , , be the open Möbius strip. The quadratic form and density descend to . The density takes value one on every orthonormal frame of this metric, defines a Radon measure, and has total mass two.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Flat open Möbius strip; normalized density and seam-area computation.
False: density measures require an orientation: The stated counterexample is the smooth nonorientable open Möbius strip with this seam.
Intrinsic density measure and its chart restriction: Borel subsets of a chart have coefficient integrals.
Positive smooth densities give Radon volume: Finite positive smooth coefficients define a Radon measure.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: Rectangles have their geometric area and degenerate rectangles are null.
Verification
The quoted strip construction gives a Hausdorff second-countable smooth nonorientable surface. Its chart transitions are powers of , with derivative . Thus and ; both the quadratic form and the unit density agree on overlaps and descend smoothly.
In such a chart an orthonormal frame has column matrix satisfying . Taking determinants gives , so the density on that frame is . Conversely a density with this normalization must have coefficient one on the coordinate frame, which is orthonormal. This verifies the claimed normalization directly without a general Riemannian volume theorem. The positive finite coefficient also gives a Radon measure.
Let be the quotient map. The set is a chart: no two points in this open strip are related by a nonzero power of . Its mass is . Its complement is the seam , a Borel set because is open. In the seam chart , is the coordinate line ; it has measure zero (or cover it by rectangles of arbitrarily small width). Hence . The omitted edges are not points of .
Weighted counting in dimension zero
Example
A Hausdorff second-countable zero-manifold is countable and discrete. For any weights its density measure is Finite positive weights give a Radon measure. On , weights give total mass one, while weights one give infinite total mass.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Zero-dimensional weighted counting with two explicit total-mass series.
Pointwise Borel nonnegative densities: A zero-dimensional chart is a singleton with coordinate mass one and determinant one.
Intrinsic density measure and its chart restriction: The chart restriction of the density measure is its coefficient integral.
Positive smooth densities give Radon volume: Positive finite smooth densities define Radon measures.
Verification
Each point has an open singleton chart, so M is discrete and every subset is Borel. Fix a countable base . For each the base contains ; assigning the least such index injects M into . Thus M is countable without selecting a chart for each point. Singleton indicators form a locally finite smooth partition in dimension zero.
The singleton chart integral is . Countable additivity on the disjoint singleton decomposition of any A gives . The empty sum is zero; zero or infinite weights cause no cancellation.
A compact subset of a discrete space is finite, since its singleton cover has a finite subcover. Every scalar function here is smooth in local zero-dimensional coordinates. Thus finite positive weights satisfy the positive smooth density theorem and give a Radon measure; directly, compact masses are finite sums, and every set is open and approximated in measure by its finite subsets.
For and , the partial sum through is , which tends to one. For the same partial sum is N, hence the total mass is infinite. In the one-point case the formula gives precisely its weight.
A smooth positive density with infinite mass
Statement refuted
The assertion that every positive smooth density measure has finite total mass fails for the density on .
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Independent B-page witness: compact-finite Euclidean density with total mass infinity.
Positive smooth densities give Radon volume: The measure of a positive finite smooth density is locally finite and compact-finite.
Intrinsic density measure and its chart restriction: The identity-chart density one integrates to Lebesgue measure.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: A closed interval has its length as measure.
Counterexample
On the coefficient is positive and smooth. Its measure is locally finite, and for every integer . Each compact K is bounded, hence contained in some and has finite measure.
Given any finite , an integer yields , proving infinite total mass. Thus the hypothesis holds and the asserted finite-total-mass conclusion fails. The same chart computation gives and .
Metric balls need no curvature comparison for measurability
Example
On with Euclidean distance and density , the ball has volume , whereas has infinite volume. Both are Borel and positive in volume.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Two explicit metric-ball volumes, showing the role of relative compactness.
Positive open-set and metric-ball volume: Topology-compatible positive-radius balls are Borel and positive in volume; compact closure implies finite volume.
Weighted interval volume: The Example and Verification compute and .
Verification
The inequality with is equivalent to . The closure is compact inside M, and the weighted interval computation gives . The ball is open Borel and has positive finite measure.
Every satisfies , so . Its mass is infinite by the interval example. Its closure in M is all of M, which is not compact: the open cover of M has no finite subcover. Thus the finite-volume hypothesis on the closure is absent in precisely this example. Both radii are strictly positive; neither ball is empty.