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Measurable Densities and Radon Volume on Manifolds
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 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
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- Rank Theorems and Embedded Submanifolds
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- 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 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
Starting with pointwise Borel density coefficients, this page constructs a measure by nonnegative chart sums and proves that the result is intrinsic. Positive smooth coefficients give locally finite Radon volume. The integration comparison includes compactly supported smooth densities, real and complex integrable functions, and Borel representatives on the completion. Boundary faces, dimension zero, and infinite total mass are treated explicitly. Countable choice is assumed throughout.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Pointwise Borel nonnegative densities
Definition
Assume (The Axiom of Countable Choice ()). Let be a Hausdorff second-countable smooth -manifold, with boundary allowed. A nonnegative Borel density specifies, in every chart , a Borel function such that, on every overlap with , Borel means measurability for the Borel sigma-algebras, as in The Borel sigma-algebra of a topological space and Extended-real-valued measurable functions; no measure on is needed to impose this condition. Smooth boundary charts use the structure of Smooth charts, atlases, and structures with boundary.
This extends the positive cone convention of Density bundle and smooth density fields. It is an extended positive density cone, not an extended-valued section of the real line bundle. Transition factors are finite, strictly positive and smooth. For three charts , the chain rule gives , so repeated transitions give the same coefficient, including when it is infinite. On a countable atlas Borel coefficients satisfying the overlap law determine Borel coefficients in every chart: each transported coefficient is Borel, they agree on overlaps, and preimages are countable unions of Borel pieces. Conversely, Borel coefficients in every chart are Borel on that atlas. Nonnegative Borel products use the same convention: for and , , also for infinite values; for the superlevel is the whole domain. This proves product measurability by countable unions.
Set . A nonnegative finite Borel scalar multiplies coefficients by ; its transition law follows by multiplying the displayed identity. In dimension zero the empty determinant is one, charts are singletons, and gives the singleton mass one. The empty manifold has the unique empty coefficient family; the zero density has all coefficients zero. Coefficients are not identified almost everywhere.
Agreement of Borel overlap integrals
Statement
For a density as in Pointwise Borel nonnegative densities, charts and , and every Borel ,
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Two supplied charts and Borel E; substitution only on their interiors.
Pointwise Borel nonnegative densities: The pointwise transition law has the absolute determinant and permits infinite coefficients.
Borel change of variables from the compact-support formula and Radon uniqueness: For a diffeomorphism of open Euclidean sets and nonnegative Borel , .
Smooth invariance of the manifold boundary: Transitions preserve boundary and interior.
The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra: Subspace Borel sets are traces of ambient Borel sets.
Assuming countable choice, every Borel subset of is Lebesgue measurable: Euclidean Borel sets are Lebesgue measurable under countable choice.
A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in : Coordinate faces are Lebesgue-null for positive dimension.
A nonnegative integral over a null set vanishes: A nonnegative measurable function has integral zero on a null set, even if infinite there.
Proof
For put and . These are open in . Boundary invariance makes a smooth diffeomorphism. The images of are Borel: charts are homeomorphisms and the trace sigma-algebra agrees with relative Borel sets.
On take , with the zero-times-infinity convention. It is nonnegative Borel. For , . Applying the Borel substitution formula to these exact domains and this integrand equates the two interior integrals.
The remaining coordinate pieces of lie in the face , or are empty for an interior chart. Their integrals vanish by nullity, without boundedness of or . Adding them back proves the formula for .
For each nonempty chart has one point. Thus is empty or the common singleton. Both integrals are respectively zero or the same weight, because the transition determinant is one. This proves the formula in every dimension, including zero or infinite weight.
Countable partition construction of the Borel set function
Definition
For a density as in Pointwise Borel nonnegative densities, choose a countable locally finite chart cover and a subordinate smooth partition of unity with , and . Define the proposed set function on by Each term is the nonnegative integral of The nonnegative Lebesgue integral, with . Its coefficient, extended by zero outside the chart image, is Borel; smoothness of that zero extension is not required. Empty sums and the empty-set value are zero. For use singleton charts and the mass-one coordinate convention.
Here is why the choices exist under countable choice, including at a boundary. From a countable base select a chart and a relatively compact ball or half-ball for each basis member whose closure fits inside such a chart; these members cover . Their finite unions of compact closures give compact sets whose interiors cover . Passing recursively to the least sufficiently large index gives an exhaustion . Cover each compact annulus by finitely many chart balls or half-balls whose closures lie in (take ). Such small coordinate neighborhoods exist at every point of the annulus. Countable choice selects one finite cover per annulus. The resulting countable chart cover is locally finite: misses all families indexed , and only finitely many sets come from each remaining annulus. Apply Smooth partitions of unity exist on manifolds with boundary to this cover; the boundaryless specialization is also Smooth partitions subordinate to a countable coordinate cover. If the subordinate partition has several terms per chart, aggregate those terms; local finiteness makes each sum smooth, and its support remains in the assigned chart.
Countable additivity is discharged by The glued set function is a Borel measure ↗. Independence of both choices and the intrinsic notation are discharged by Intrinsic density measure and its chart restriction ↗.
The glued set function is a Borel measure
Statement
The set function of Countable partition construction of the Borel set function is a countably additive nonnegative Borel measure. No local integrability or sigma-finiteness of is required.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Fixed gluing data and arbitrary disjoint Borel sequence.
Countable partition construction of the Borel set function: The set function is the sum of nonnegative weighted chart integrals.
The indefinite integral of a nonnegative measurable function is a measure: Integrating a fixed nonnegative measurable coefficient over measurable sets defines a measure.
Beppo Levi's theorem for nonnegative series: Integration commutes with a countable nonnegative sum.
Proof
For each chart set . This is nonnegative Borel. The set function is a measure: disjoint Borel sets have disjoint Borel chart images, and the indefinite-integral theorem supplies countable additivity there. In dimension zero it is a singleton weight times its indicator, hence also a measure, even for infinite weight.
For disjoint Borel , ; equivalently apply the nonnegative summation theorem to . For , both iterated sums equal : a finite selection in any row fits in some finite rectangle, and conversely every rectangle is bounded by either iterated sum. Consequently .
Every , so ; all values are nonnegative extended reals. Zero coefficients contribute zero, and a one-term family gives its chart measure. Thus the claimed Borel measure exists with no finiteness assumption.
Intrinsic density measure and its chart restriction
Statement
All chart-partition constructions give the same measure . Moreover, if is Borel and contained in any chart , then
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Common nonnegative refinement and pointwise extended-real arithmetic.
The glued set function is a Borel measure: Every gluing gives a Borel measure.
Agreement of Borel overlap integrals: Nonnegative Borel density integrals agree on every Borel chart overlap.
Beppo Levi's theorem for nonnegative series: The integral of a countable nonnegative sum is the sum of the integrals.
Proof
For a finite nonnegative Borel scalar on , is again a density: in coordinates its coefficient is , and multiplying the transition law by proves its law, also at when . Thus the overlap lemma applies to and .
Fix a Borel . Transfer the th gluing term, for the density , from to on . In the chart the transferred integrands sum to : if is finite this is distributivity and ; if , at least one of the finitely many nonzero weights is positive, so the sum is infinite. The nonnegative summation theorem therefore gives the chart-restriction identity.
For two partitions and , expand the first construction on a Borel as . This expansion follows from the same pointwise argument, now summing , and the nonnegative summation theorem. The overlap lemma transfers each summand to . Both iterated sums are the supremum of the finite rectangular subsums, so reordering and summing gives the second construction.
Thus the two Borel measures are identical on every Borel set. All formulas remain true for the empty set and zero density, giving zero; in dimension zero the chart formula is the singleton weight. Neither infinity nor boundary points require cancellation: the overlap lemma already treats both.
Positive smooth densities give Radon volume
Statement
If is a finite-valued positive smooth density, is finite on compact sets, locally finite, sigma-finite, and a regular Borel measure, hence Radon. Its completion is denoted and is not identified with its Borel domain.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Positive finite smooth coefficients; local boundedness before regularity.
Intrinsic density measure and its chart restriction: Every Borel subset of a chart has measure equal to the integral of its coefficient.
Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure: Bounded measurable Euclidean sets have finite Lebesgue measure.
Locally finite Borel measures on second-countable LCH spaces are regular: A compact-finite Borel measure on a second-countable LCH space is regular.
Radon measure on an LCH space: Radon means compact-finite, outer regular on Borel sets and compact-inner-regular on open sets.
Assuming countable choice, every measure space has a unique complete extension to its completion: Under countable choice the completion is a complete measure extending the original measure.
The completion domain and proposed completed set function of a measure space: A completed set differs from a Borel set only inside a Borel null set.
Proof
For each point in positive dimension, a chart contains a relative closed ball or half-ball around its coordinate image. Choose it bounded with closure inside the chart image. Its inverse image is compact and contains a neighborhood of . The continuous coefficient on is bounded by a finite , so . For take , whose measure is the finite coefficient .
The neighborhoods cover any compact finitely, giving . They also show local finiteness. To get a countable cover, take the members of a countable base that are contained in some such ; these cover and individually have finite measure. Enumerating these basis members proves sigma-finiteness without selecting neighborhoods at every point.
The same compact chart neighborhoods show local compactness also at the boundary; Hausdorffness and second countability are standing assumptions. The compact-finite Borel measure therefore satisfies the regularity theorem. Its conclusion includes the outer and open-set inner regularity required by the stated Radon convention.
Apply the completion theorem to under the standing countable choice. Explicitly, with Borel, and has . Empty and empty compact sets have mass zero; a singleton in dimension zero has its finite positive weight. No total-mass bound is asserted.
Borel Darboux integrands in finite dimension
Statement
Assume . Let , let with , and let be bounded and Borel. If is Riemann integrable, then and its Lebesgue and Riemann integrals agree.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Bounded Borel Riemann integrand on a nondegenerate n-box.
Lower and upper Darboux sums over a grid partition in : Cell infima and suprema times cell volumes define lower and upper Darboux sums.
The multidimensional Darboux and tagged-mesh definitions of the Riemann integral agree: Bounded Riemann integrability is equivalent to Darboux integrability with the same value.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: Each closed or half-open rectangle has the product of its side lengths as measure.
A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in : All grid faces are null.
Monotonicity and nonnegative homogeneity of the nonnegative integral: Nonnegative integrals are monotone and homogeneous.
The Lebesgue integral is linear on : The integral is linear on integrable functions.
The integral of a nonnegative simple function: The integral of a nonnegative simple function on disjoint sets is the sum of coefficient times measure.
The nonnegative integral agrees with the simple integral on simple functions: The nonnegative Lebesgue integral of a simple function equals its simple integral.
Proof
Choose a finite with , and put . Its Borel measurability and imply . Likewise , so is integrable.
For a finite grid , list its closed cells and disjointify them as . These are Borel and partition ; each contains the interior of and differs from it only by grid faces. Thus . Let and . Each cell is nonempty and bounded, so these are finite.
The nonnegative simple functions and satisfy everywhere, including every assigned face. Their integrals are respectively and . Hence .
Every Riemann sum of equals the corresponding sum of plus , so is Riemann integrable with value . Darboux equivalence gives . Taking supremum and infimum in the preceding bounds yields .
The constant is integrable on , so linearity gives . If , all these quantities are zero; the proof also applies to and constant-one integrands. Degenerate boxes and dimension zero are outside the stated domain.
Measurable integration extends smooth density integration
Statement
For a nonnegative Borel and any chart partition , with values in and all zero-times-infinity products equal to zero. For positive smooth and compactly supported smooth real , this equals the smooth density integral . For real or complex the same chart formula holds, interpreted by real and imaginary positive and negative parts; the series converges absolutely. On the completion, nonnegative measurable functions and real or complex functions have Borel representatives modulo completed null sets, and the formulas are applied to those representatives.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Borel-first integration, signed absolute convergence, smooth compact support and completion.
Intrinsic density measure and its chart restriction: The intrinsic measure equals each gluing construction and has the chart-restriction formula.
Every nonnegative measurable function is the increasing limit of simple measurable functions: Every nonnegative measurable function is the increasing limit of nonnegative simple functions.
Monotone convergence for the integral: Nonnegative increasing pointwise limits commute with integration.
Integral of a compactly supported smooth density: The smooth compact-support integral is the finite sum of Riemann integrals of zero-extended weighted chart coefficients; in dimension zero it is the finite scalar sum.
Riemann-integrable half-space extensions of chart coefficients: A smooth chart coefficient with compact support has bounded Riemann-integrable zero extension, including boundary charts.
Borel Darboux integrands in finite dimension: A bounded Borel Riemann-integrable coefficient on a nondegenerate n-box has equal Lebesgue and Riemann integrals.
Integrable real and complex functions, and their integrals: Absolute integrability permits real and imaginary positive/negative part integrals.
The completion domain and proposed completed set function of a measure space: A completed measurable set differs from a Borel set inside a Borel null set.
Assuming countable choice, every measure space has a unique complete extension to its completion: The completion is a complete measure extending the Borel measure under countable choice.
A nonnegative integral over a null set vanishes: Nonnegative integrals over measurable null sets vanish.
Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree: Integrable functions equal almost everywhere have equal integrals over every measurable set.
Additivity of the nonnegative Lebesgue integral: The nonnegative integral is additive, including infinite values.
Monotonicity and nonnegative homogeneity of the nonnegative integral: Nonnegative integration is homogeneous and monotone.
Proof
For , with Borel, the left side is and the right side is its defining chart sum. For a nonnegative simple function on disjoint Borel sets, finite additivity and homogeneity of the nonnegative integral give the formula term by term; a finite sum interchanges with the nonnegative chart sum. Coefficients contribute zero even when .
Take nonnegative simple Borel . For each chart, , where . This also holds if : a positive limiting value of forces an eventually positive , whereas a zero limit makes every zero. Monotone convergence on and each chart, followed by for increasing nonnegative , proves the formula. The last identity follows by taking finite chart sums first and then their supremum.
For real or complex Borel with , apply the nonnegative formula to . It gives , so every chart term is integrable and the sum of their absolute integrals is finite. Apply the formula separately to , or to the four positive/negative real/imaginary parts. Subtraction now involves only finite numbers and produces the asserted absolutely convergent series. Where and the weighted absolute integrand is infinite only on a Lebesgue-null set: for and every integer , , forcing ; one may set the signed coefficient to zero there. This leaves each part integral unchanged.
Let be measurable for the completed measure. Choose increasing completed-simple . For each of the countably many level sets in these simple functions, the completion definition supplies a Borel replacement with symmetric difference contained in a Borel null set. Countable choice selects these replacements; their exceptional Borel sets have a null union . The replacement simple functions are nonnegative Borel and equal off . Put off and zero on . Then is increasing Borel, and is Borel and equals off . Applying monotone convergence to , whose Borel and completed integrals agree by the extension property, gives equality of the Borel and completed integrals of . The null-set integral property gives . Thus the chart formula for computes the completed integral, including infinity.
Now let be positive smooth and smooth with compact support . Local finiteness of the partition supports gives a finite subfamily meeting : finitely many neighborhoods witnessing local finiteness cover . Each coefficient of is smooth with compact support inside its chart. Its zero extension is bounded and Riemann integrable by the chart extension result; it is Borel because it is smooth on a Borel chart image and zero elsewhere. A bounding nondegenerate box and the local Darboux bridge identify its Riemann and Lebesgue integrals. There are only finitely many terms; their absolute integrals are finite by boundedness and bounded support. The nonnegative formula of step 2.1 applied to therefore shows is integrable, so step 3.1 applies and the sum equals the defining smooth integral.
In dimension zero, compact sets are finite: the singleton open cover has a finite subcover. The preceding smooth comparison is then the same finite sum in both definitions. Empty , the zero function, and empty all give zero. A singleton of weight one integrates to its value.
For completed real or complex functions apply the same construction to each nonnegative component and subtract, redefining on the exceptional Borel null set to get a finite-valued Borel representative. Its absolute integral is unchanged, so step 3.1 applies. Two Borel representatives differ inside a Borel null set ; the nonnegative chart formula for makes each chart contribution of zero. Null-set invariance, and for also almost-everywhere equality, show independence of every representative choice.
Positive open-set and metric-ball volume
Statement
Let be positive smooth. Every nonempty open has . If induces the manifold topology, then for every and the ball is Borel and has positive measure. If its closure in is compact, it also has finite measure.
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Nonempty open set; topology-compatible positive-radius ball.
Positive smooth densities give Radon volume: Positive smooth densities give compact-finite Borel measures.
Intrinsic density measure and its chart restriction: The measure in any chart is its coefficient integral.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: A nondegenerate coordinate box has positive measure, equal to its volume.
Proof
Choose and a chart around it restricted inside . For , continuity and give a relative coordinate neighborhood where . This neighborhood contains a closed nondegenerate Euclidean box in the interior of the half-space: even if is on the face, move its last coordinate a sufficiently small positive distance and choose a still smaller box. Hence .
For the singleton is open with measure , so again . The empty manifold has no nonempty open subset, making this clause vacuous.
If , then and the triangle inequality gives . Thus the ball is open in the metric topology, hence in the manifold topology and Borel. It contains since , so the preceding positivity applies. If is compact, monotonicity and compact-finiteness give .
False: locally finite volume has finite total mass
Statement
False assertion: every positive smooth density whose Borel measure is locally finite has finite 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 . Witness R with unit density; explicit arbitrarily large finite-interval masses.
Positive smooth densities give Radon volume: A finite-valued positive smooth density has locally finite, compact-finite measure.
Intrinsic density measure and its chart restriction: A chart restriction computes its measure by the coordinate integral.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: An interval has its length as Lebesgue measure.
Refutation
Take with its identity chart and , coefficient one. This is a finite-valued positive smooth density, so its measure is locally finite and finite on compact sets. For every integer , .
For any finite proposed bound , choose an integer . Monotonicity gives , so the total mass is infinite. The empty set and singleton have mass zero by the same length formula, and intervals of length one have mass one; none of these local values bounds the total.
False: density measures require an orientation
Statement
False assertion: a nonorientable smooth manifold cannot carry a positive smooth density measure.
A counterexample is the open Möbius strip : it is a smooth nonorientable surface carrying the descended positive smooth density .
Facts & Assumptions
Given: Assume . Manifolds are Hausdorff, second countable and smooth, with boundary allowed; is allowed unless excluded. Densities are pointwise Borel, , and . Explicit nonorientable Möbius witness, with the source used at its Refutation rather than its weaker Statement.
Oriented smooth manifolds and oriented charts: An orientation is a smooth choice of a determinant ray at every point.
Positive smooth densities give Radon volume: A finite positive smooth density gives a Radon measure.
Existence of positive smooth densities: Positive smooth densities exist also on nonorientable manifolds.
Refutation
Let act on and let be the quotient. It is open since is open for every open . Rectangles of -width less than one have disjoint translates, so restricts to a homeomorphism from each such rectangle onto an open chart. The quotient is Hausdorff: for two inequivalent points, first choose bounded neighborhoods; only finitely many integer translates can intersect them because their -coordinates are bounded, and shrink the neighborhoods to exclude each of these finitely many intersections. Their quotient images then separate the two orbits. Images of rational rectangles form a countable base. Transition maps are restrictions of powers of , hence smooth. If M had an orientation, its pullback to X would be a smooth sign relative to the coordinate frame. This sign is constant because X is connected (any two points are joined by a straight segment). But implies , contradicting constancy. Thus M is a smooth nonorientable surface.
The explicit local coefficient one gives . Since has absolute determinant one, all transition powers preserve this density. It descends to a positive smooth density on , an explicit instance of the general existence theorem. Its coefficients are finite, so it defines a Radon measure. This nonorientable witness refutes the assertion.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Folland, Real Analysis, second edition, §11.4 pp.361–363; Theorems 2.14–2.15 pp.50–51
- Gerald B. Folland, Real Analysis, 2nd ed.
- John M. Lee, Introduction to Smooth Manifolds, 2nd ed.
- Lee density gluing construction pp.431–432
- Folland Theorem 7.8 and complete proof p.217; §11.4 pp.361–363
- Folland §2.2 simple integral, Proposition 2.13 pp.49–50; finite-dimensional Darboux adaptation of the local published one-dimensional comparison proof
- Lee Proposition 16.37 and following explanation p.430