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Spatial BV, finite perimeter, and TV conventions
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Areas of Elementary Plane Figures
- Banach Valued Integration and the Radon Nikodym Property
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- 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
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Surface Measure, Divergence, and Green Identities
- 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 Measure and Hausdorff Dimension
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- 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
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sard Theorem and Transversality
- 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
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue and Riemann Integrals Compared
- 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 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 · Logical flowchart
3 · Definitions, theorems and proofs
Uniqueness of a Radon measure representing a distribution
Statement
Let be open. If two finite signed Radon measures on have the same integrals against every function in , then the measures are equal.
Statement references
Facts & Assumptions
Given: An open set and finite signed Radon measures whose integrals agree on every compactly supported smooth test function.
Under the repository convention, each finite signed Radon measure has finite total variation on , and that total-variation measure is regular on all Borel sets. This all-Borel approximation follows already from the finite Radon convention: for a finite positive Radon measure , a Borel , and , choose compact with , and open with . Then is compact in and . For , the partition definition gives , so is finite and regular as well: compact inner and open outer approximations for the finite regular sum also approximate . (Regular complex Borel measures, Radon measure on an LCH space)
Rational balls give a countable base, and compact sets have finite subcovers. (The rationals embed densely in the reals, is countably infinite, A product of two at most countable sets is at most countable, 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)
A smooth bump can equal one on an inner ball and vanish outside a larger ball. (A smooth bump between concentric Euclidean balls)
Dominated convergence applies to bounded pointwise-convergent cutoffs against the finite measure . (Dominated convergence)
Proof
Given: The open set and finite signed Radon measures with equal integrals on smooth compactly supported tests.
If , equality is immediate. If and , its singleton indicator is a smooth compactly supported test and determines every measure. Assume henceforth . Set . If is compact and nonempty, then for every sufficiently large , rational inner balls with doubled closures in cover ; [F2] gives a finite subcover, and ordering finite rational lists by natural-number codes gives a least such cover. Put the fixed bump [F3] on each selected ball and combine them as . Then , it equals one on , is supported in the -neighborhood of , and . Since each is a smooth compactly supported test function, ; dominated convergence [F4] with respect to the finite regular total-variation measure [F1] gives . The empty compact set has measure zero directly.
For any Borel and , inner regularity of [F1] gives a compact with . Since step 1.1 gives , we have . Thus for every Borel , so .
Variation of a finite vector Radon measure is Radon
Statement
Let be open and let have finite signed Radon coordinate measures. For Borel define where the norm is Euclidean. Then is a finite positive Radon measure and
Statement references
Facts & Assumptions
Given: An open set and a finite tuple of finite signed Radon measures .
For each coordinate, is a finite positive Radon measure. Finiteness upgrades its open-set compact approximation to all Borel sets: for a finite positive Radon measure , Borel and , choose compact with , and open with . Then is compact in and misses mass below . Thus each is regular on all Borel sets. The finite sum is also regular: choose a compact subset of for each coordinate and take their finite union for inner approximation, and intersect their open supersets for outer approximation, allocating error when . (Radon measure on an LCH space, Regular complex Borel measures, The total variation of a signed or complex measure is a positive measure)
Step 3.1 shows that is a regular Borel measure, with compact inner approximation on all Borel sets. (Regular Borel measure on an LCH space)
Proof
Given: The open set and finite signed Radon coordinate measures .
If , the vector measure and vanish and the zero field gives the asserted supremum. If , the conclusion is immediate. If and , then is a singleton, , and the constant field attains the supremum when the vector is nonzero (use the zero field otherwise). Assume henceforth . For every Borel and every countable Borel partition of , the Euclidean norm satisfies . Summing over gives for , so is finite and .
If is a disjoint Borel union, then intersecting any partition of with each and using countable additivity of each coordinate shows . Conversely, for fixed and , choose for each of the finitely many a partition of whose sum exceeds . Their union, together with , is a partition of , so . Letting and then proves countable additivity. Thus is a finite positive Borel measure.
For every with , approximate uniformly by finite-valued Borel simple functions whose values have norm at most one. The partition definition bounds each simple integral by , and finiteness of the coordinate measures lets the uniform errors tend to zero. Hence the displayed supremum is at most .
Since and is a finite regular Borel measure by [F1], for every Borel and there is compact with , whence . There is also an open with , whence . Thus is a regular Borel measure in the sense of Regular Borel measure on an LCH space, and in particular a Radon measure.
If , the zero field proves the reverse inequality. Otherwise fix and choose a countable Borel partition with sum greater than ; truncate after so the tail is below . Omit indices with or ; the sum of the omitted partition values is at most . For every retained index, compact inner regularity [F2] gives a nonempty compact with . Since there are finitely many pairwise disjoint compact sets in the metric space , choose pairwise disjoint open neighborhoods with compact closures in . Outer regularity [F2] gives open with . Put . Then , , and the closures of the remain pairwise disjoint compact subsets of . Define This is continuous and compactly supported, equals one on , and vanishes outside . Set and . The disjoint closures of the imply disjoint supports and . For bounded Borel vector fields, the partition definition and uniform simple-function approximation give . Thus replacing by loses at most for each retained . Summing these errors, the omitted terms, and the tail gives . Letting proves the reverse bound.
Locally finite smooth partitions of unity on Euclidean open sets
Statement
If an open set is covered by a countable family of open sets , then there is a countable locally finite family of nonnegative functions summing to one, with each contained in one member of the cover. Locally finite means that each point has a neighborhood meeting only finitely many supports.
Statement references
Facts & Assumptions
Given: An open set and a countable open cover of .
Rational vectors are dense in , and is countable. (The rationals embed densely in the reals, is countably infinite, A product of two at most countable sets is at most countable)
For , a smooth cutoff exists between any two concentric balls whose closures are nested. (A smooth bump between concentric Euclidean balls)
Proof
Given: The open set and its countable open cover.
If , the empty family proves the claim. If and , then is a singleton; choose one cover member containing it and the single function , which is smooth and compactly supported. Thus assume and . For set when , and set when ; put for . Each is compact by [F1], the sets are nested, , and their interiors cover . The compact shells cover and lie in the open sets . The family is locally finite: any compact subset of lies in some and hence in for all sufficiently large .
Fix once a smooth nonnegative cutoff equal to one on and supported in , whose existence is [F3]. In each , consider the rational inner balls for which for some cover index . Indexed by , these balls form a countable cover of : for each point choose a cover member containing it, then density [F2] gives a rational center and radius with the required doubled closure. Compactness of gives a finite subcover. Order all finite lists of eligible indexed balls by natural-number codes and take the first list covering ; thus no choice principle is needed. For each selected ball use the fixed rescaled cutoff . The family is locally finite because each shell contributes finitely many cutoffs supported in , and each support also lies in its assigned cover member. Its sum is smooth and positive on because the shells cover .
Define . Then each function is smooth, nonnegative and compactly supported in , the family is locally finite, and . Each support remains in its assigned cover member, and enumeration gives the required countable family.
Smooth compactly supported functions are dense in C0 on an open Euclidean set
Statement
For every open set , the space is dense in in the uniform norm.
Statement references
Facts & Assumptions
Given: An open set and a continuous function on that vanishes at infinity.
For , a smooth bump can be chosen equal to one on an inner ball and supported in a larger ball. (A smooth bump between concentric Euclidean balls)
Proof
Given: The open set and .
If , the zero function suffices. If and , then its singleton supports every function and every function is smooth, so take the approximant itself. Assume . Let and . The set is compact by the definition of vanishing at infinity. If , the zero function approximates within . Otherwise cover by finitely many inner balls whose doubled closed balls lie in , using compactness [F1]. Choose the corresponding bumps from [F2] and combine them as . Then and on , so .
Put and . If , take the zero approximant. Otherwise, for each , continuity gives such that and on . Finitely many inner balls cover . By [F2], let be nonnegative smooth bumps equal to one on those inner balls and supported in their doubled balls. The sum is positive on a neighborhood of . Repeating the finite cutoff construction of step 1.1 inside the open set gives with and on . Define on and extend it by zero. Its compact support lies in , and the extension is smooth because . Where , the weighted average differs from by at most , since each nonzero weight has . Also everywhere, because on . Therefore , and step 1.1 gives . This uses only finitely many balls, bumps and sampled values, with no integration or infinite selection.
Loomis–Whitney integral inequality
Statement
Assume Countable Choice. Let . For each let be Lebesgue-measurable and integrable, with its arguments identified with all coordinates except . Then
Statement references
Facts & Assumptions
Given: Countable Choice and an integer and nonnegative integrable functions on the coordinate hyperplanes.
Tonelli applies to nonnegative product-measurable functions on sigma-finite measure spaces. Under Countable Choice, Euclidean Lebesgue measure is the completion of each product of its coordinate factors. In particular Borel functions on a Euclidean product are product-measurable and their product integrals equal their Euclidean integrals. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures)
Under Countable Choice, Lebesgue measure is the completion of its Borel restriction, and every completion-measurable function has a base-measurable representative. Thus each nonnegative finite Lebesgue-measurable has a nonnegative finite Borel representative equal almost everywhere. ( is exactly the completion of the restriction of to the Borel sets, A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra)
Countable Choice is used in the Borel-representative and Euclidean-product identification suppliers. No unqualified choice-free Lebesgue product identity is asserted. (The Axiom of Countable Choice ())
For nonnegative integrable functions, Hölder's inequality bounds the integral of a product by the product of the corresponding norms. (Holder's inequality for integrals, including the endpoint cases)
For the induction step in dimension , assume the inequality in dimension .
Proof
Given: Countable Choice, the integer and nonnegative integrable coordinate functions .
First replace the by their Borel representatives from [F3], setting each representative to zero on its Borel set of nonfinite or negative values. The exceptional sets lie in Borel null sets . Their coordinate lifts are null in : intersect with slabs , , and apply the product rectangle formula in [F1], then take their countable union and permute coordinates. Completeness in [F1] therefore makes the original product Lebesgue-measurable with the same integral as the Borel product; the right-hand integrals are unchanged as well. We may henceforth assume all inputs Borel. For , Tonelli [F1] factors the left side as , which is the right side.
For , assume [A1]. For define . Apply Tonelli [F1] using the Borel sigma-algebras: each is Borel and integrable, possibly infinite on a Borel null set. Set it to zero there. The lifted exceptional sets in are null by the slab argument of step 1.1. Consequently all the following sectional inequalities hold almost everywhere, and the modified are admissible finite inputs for [A1]. Applying Hölder [F2] in to the first factors and then Tonelli gives an upper bound for the left side of . Set . Hölder in with exponents and bounds this by . The induction hypothesis [A1] bounds , while Tonelli gives . Substitution yields the claimed product bound in dimension .
Induction from the base case [step 1.1] through step 2.1 proves the inequality for every integer .
A zero distributional gradient is constant on a connected domain
Statement
Assume Countable Choice. Let be open and connected. If satisfies as a distribution for every coordinate , then there is a constant such that almost everywhere on . If is real-valued almost everywhere, may be chosen in .
Statement references
Facts & Assumptions
Given: Countable Choice, an open connected , and with zero distributional gradient.
Countable Choice is assumed for the local mollifier approximation. (The Axiom of Countable Choice ())
A smooth compactly supported cutoff exists between nested balls. (A smooth bump between concentric Euclidean balls)
Zero distributional derivative means for every compactly supported smooth test function. (Distributional derivative)
Mollification makes a locally integrable function smooth and differentiates by convolution on compactly contained subdomains. (Convolution with a mollifier is smooth, and derivatives pass under the integral sign)
A nonnegative mollifier family converges to the identity in . (An approximate identity on , The mollifier family generated by a unit-mass smooth bump, A unit-mass smooth bump generates an approximate identity, Every approximate identity converges to the identity in for )
A connected space admits no separation into two disjoint nonempty relatively open subsets. (Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets)
Rational balls form a countable base of Euclidean topology. (The rationals embed densely in the reals, is countably infinite, A product of two at most countable sets is at most countable)
Proof
Given: The open connected set and with zero distributional gradient.
If , choose . If and , then is a singleton and its function is constant. Henceforth assume and . Let be any open ball and choose concentric balls . By [F1] take equal to one on , and extend by zero to . For sufficiently small , every mollifier centered at a point of is supported in . For such a point , differentiating the convolution gives by the distributional identity [F2]. Thus is constant on the convex ball by the one-dimensional fundamental theorem along each segment.
Since on , the approximate-identity property [F4] gives in for a sequence . Write each constant from step 1.1 as . The convergence makes Cauchy because . Its limit satisfies almost everywhere on .
If , any constant satisfies the conclusion. Otherwise fix one ball and let be its almost-everywhere value. Let be the set of points of having a neighborhood on which almost everywhere. It is nonempty and open. If , choose a ball containing and a point of ; step 2.1 makes almost everywhere constant on , and its positive-measure intersection with a neighborhood from forces that constant to be . Thus , so is relatively closed. Connectedness [F5] gives . By the countable rational base [F6], choose a countable cover of by rational balls contained in these neighborhoods; the union of their exceptional null sets is null, hence almost everywhere on all of . The constants and may be complex; completeness of justifies their limits. When is real almost everywhere on a nonempty domain, its a.e. constant is real because each ball has positive measure.
Sequence compactness in L1 by finite cell averages
Statement
Assume Countable Choice. Let be a sequence in real , with , all zero almost everywhere outside one bounded set. If , then a subsequence converges in . This assertion does not require Dependent Choice.
Statement references
Facts & Assumptions
Given: The sequence and uniform translation continuity in the Statement; write .
Countable Choice allows choosing measurable representatives for a countable sequence of classes. (The Axiom of Countable Choice ())
Tonelli applies to nonnegative functions on completed Euclidean products and to sums of such functions. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Tonelli and Fubini for the completed product, with only almost-everywhere section measurability, The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures)
Translation preserves Lebesgue measure. (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation)
Ordinary recursion on a set with a specified initial value and deterministic successor rule constructs a unique sequence; this uses no dependent-choice instance. (The recursion theorem)
Proof
Given: The hypotheses above.
For , tile by the half-open cubes , , and let equal on . The triangle inequality, followed by [F1] and the substitution using [F2], gives . Thus, writing , one has as .
For each , only finitely many cubes of side meet a fixed ball containing the common supports; all other cell averages vanish. Enumerate all these cells at all levels by first increasing and then lexicographic order of their integer coordinates. Each cell-average coefficient is a bounded real sequence, with bound divided by that cell's volume. Set and initialize . Recursively, at stage , partition the bounded ranges of the first coefficients into finitely many half-open dyadic bins of width , adding an endpoint bin if necessary. Among the finitely many vector bins containing infinitely many indices in , take the lexicographically first; let be exactly that infinite set of indices. The finite pigeonhole principle guarantees existence and the specified order makes the rule unique. Then let be the least member of larger than ; such a member exists because is infinite. This deterministic successor rule and initial pair define the sequence recursively by [F3], with no dependent-choice instance. For fixed and , all selected indices with lie in , so their th coefficients differ by at most . Consequently every coefficient converges and, at each fixed cell level , is Cauchy in , being a finite weighted sum of these coefficients.
Given , choose a cell level for which , using step 1.1. For sufficiently large , step 1.2 gives . The two approximation errors from step 1.1 then show . Thus the subsequence is Cauchy.
For completeness at exactly the stated axiom strength, choose representatives of this countable sequence by [A1]. Select a further subsequence with , always choosing the least sufficiently late index, which exists by the Cauchy property. By [F1], is integrable and finite almost everywhere. Hence has a measurable almost-everywhere limit ; moreover , so , and . The original Cauchy subsequence also converges to this class by the triangle inequality. This proves the assertion using only [A1].
Lipschitz graph area and calculus under Countable Choice
Statement
Assume Countable Choice. Let , let be open, and let be locally Lipschitz. Then is differentiable almost everywhere, its partial derivatives are measurable and are its weak derivatives. On every open region where is -Lipschitz, almost everywhere. Let denote the repository's unnormalised Hausdorff measure, put , and write also on Euclidean spaces containing -dimensional subsets. The graph map satisfies, for every nonnegative Borel , For the epigraph , a smooth vector field compactly supported away from the chart sides satisfies Thus its outward normal is almost everywhere. The sign reverses for a subgraph. The graph surface measure is locally finite and Radon on with its relative topology, and its null sets coincide with graph images of Lebesgue-null subsets of the base.
Statement references
Facts & Assumptions
Given: Countable Choice and the locally Lipschitz graph in the Statement.
A Lipschitz interval function is absolutely continuous and has a derivative almost everywhere; these conclusions assume at most Countable Choice. ( implies Lipschitz, Lipschitz implies absolutely continuous, and absolutely continuous implies continuous and bounded variation, Absolutely continuous functions have integrable derivatives)
Completed Euclidean Fubini and Tonelli hold under Countable Choice. (Tonelli and Fubini for the completed product, with only almost-everywhere section measurability, The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures)
Lebesgue differentiation of locally integrable functions holds under Countable Choice. (Lebesgue differentiation theorem on )
Hausdorff measure on an -plane, divided by , is Euclidean -volume; isometries preserve it and -Lipschitz maps increase it by at most . Invertible linear maps scale Euclidean volume by the absolute determinant. (Euclidean Hausdorff measure is proportional to Lebesgue measure, Similarities scale Hausdorff measure exactly, Lipschitz maps control Hausdorff measure, A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not)
Proof
Given: The graph in the Statement. All local arguments take place in a box compactly contained in a region on which is Lipschitz.
We first need the integral identity for Lipschitz interval functions without invoking the stronger published general absolutely continuous FTC. If is -Lipschitz on , extend it constantly past the endpoints. Its difference quotients are bounded by and converge to almost everywhere by [F1]. For any , dominated convergence gives Coordinate difference quotients of are measurable; [F1] and [F2] show their limits exist almost everywhere, with . Define them to be zero on the exceptional sets. Applying the preceding identity and one-dimensional integration by parts on each line, then [F2], gives for smooth compactly supported . The same line identities hold for every coordinate line of , outside the appropriate line-null exceptional set of derivatives.
For a cube of side and a Lipschitz , join to by the coordinate segments replacing their coordinates in order. Step 1.1 bounds by the sum of the line integrals of . Integrate in . For coordinate , the unused coordinates contribute , while the measure of endpoint pairs whose interval contains a fixed coordinate value is at most . Thus, after division by , the triangle inequality yields where is its mean. Outside a null set, has strong Lebesgue points: apply [F3] to its coordinates and to for every rational vector , then approximate by such . The countable union of the exceptional null sets is null under Countable Choice. Ball differentiation also gives cube differentiation by the fixed volume comparison. At such a point , set and . The displayed inequality gives . As and has a fixed Lipschitz bound, a mean with would give on a cube of side proportional to centered at , contradicting this estimate. Thus . If at some in the half cube, the Lipschitz bound gives the same contradiction on a cube of side proportional to centered at . Hence , proving differentiability with derivative . Difference quotients then give . Countably many rational boxes cover , so the assertion is global.
We prove the area identity first for bounded Borel base sets within one -Lipschitz box. On the differentiability set, for any , form countably many Borel pieces on each of which lies within of a fixed rational vector , the differentiability remainder is at most whenever , and the points lie in one cube of diameter less than . Such pieces cover the differentiability set: the remainder condition follows from differentiability, can be tested on countably many rational by continuity, and is measurable; use increasing integers and a rational-vector enumeration. Subtract earlier pieces to make them disjoint. For two points of a single piece , set . Then . Consequently is at most -Lipschitz, and its inverse is at most -Lipschitz. The sets are Borel because is a homeomorphism from onto its graph.
Choose an orthonormal coordinate system on the range plane of . Its square coordinate matrix has determinant of absolute value . Thus [F4] gives . Apply [F4] to the two maps in step 3.1 to obtain The function is -Lipschitz, so on . The excluded base-null set has graph image of zero by [F4], since is Lipschitz. Sum the displayed inequalities over the disjoint pieces, using . The difference between and is bounded by . Letting proves equality. Exhaustion and countable localization extend it to arbitrary Borel ; indicator functions, simple functions and monotone convergence prove the asserted integral formula.
For a compactly supported smooth scalar in the chart, vertical integration gives . For a horizontal coordinate put . This is Lipschitz and compactly supported in ; step 2.1 and ordinary differentiation of the smooth integral give almost everywhere. Its weak derivative integrates to zero by step 1.1 and [F2]. Apply these identities to the components of and sum. Step 4.1 converts the resulting flux into the unit-normal formula. The graph measure is a graph pushforward of the locally bounded measurable density ; compact and open approximation in the base show it is locally Radon on the graph with its relative topology. The density is between and on every local box, which also proves the null-set assertion.
Spatial BV and distributional total variation
Definition
Let be open and let , where elements of are almost-everywhere equivalence classes. For each , its distributional derivative acts on by The function is in when each is represented by a finite signed Radon measure and the resulting vector-valued measure has finite total variation. Here a finite vector-valued Radon measure means that its partition variation is a finite Radon measure. For a Borel set , define using the Euclidean norm on each vector value. Define the spatial total variation by . A Lebesgue-measurable set of finite measure has finite perimeter relative to when ; its relative perimeter is .
A unit vector density has scalar variation measure
Statement
Let be a locally compact second-countable metric space, let be a finite positive Radon measure on , and let be continuous with for every . Define the vector measure on Borel sets. Its partition variation satisfies .
Statement references
Facts & Assumptions
Given: A locally compact second-countable metric space , a finite positive Radon measure , and a continuous unit-vector field .
Here partition variation means , with empty parts allowed. This is the formula used in the Euclidean vector-Radon lemma; we prove the equality directly on , without applying that lemma's Euclidean regularity conclusion to a general metric space. (Variation of a finite vector Radon measure is Radon)
Each coordinate formula defines a finite signed Borel measure. Countable additivity follows by dominated convergence for disjoint Borel unions, since and . (Dominated convergence)
Proof
Given: The space , the finite Radon measure , and the continuous unit field .
The coordinate measures are well-defined by [F2]. For every countable Borel partition of a Borel set , the triangle inequality for vector integrals gives . Taking the supremum in the definition [F1] gives .
Fix a Borel and . Partition the unit sphere in into finitely many Borel pieces of diameter below , by intersecting it with a sufficiently fine finite grid of half-open boxes in (including the outer faces). Choose a unit vector in each nonempty piece, requiring only finite choice. The sets are a finite Borel partition of , since is continuous. For , . Thus . Adding empty parts gives an admissible countable partition in [F1], so . Letting and using step 1.1 proves for every Borel , including zero-mass sets.
Consequently the partition set function is the positive Radon measure itself. This proves on the stated space without any Euclidean-domain assumption or restriction of to an open set.
Euclidean real Radon representation under Countable Choice
Statement
Assume Countable Choice. For every open , every bounded real linear functional on is integration against a unique finite signed Radon measure. No Dependent Choice assumption is required.
Statement references
Facts & Assumptions
Given: Countable Choice, an open Euclidean set , and a bounded real functional on .
Countable Choice permits simultaneous selection from a countable family of nonempty sets. (The Axiom of Countable Choice ())
A bounded real functional is a difference of two bounded positive functionals, by a positive-cone supremum construction using no choice axiom. (A bounded real C_0(X) functional is a difference of positive functionals)
Every metric outer measure measures all Borel sets; its Caratheodory restriction is a countably additive measure. (Every Borel set is Carathéodory measurable for a metric outer measure, Carathéodory's theorem: measurable sets form a sigma-algebra carrying a complete measure)
Smooth compactly supported functions are uniformly dense in , and finite signed Radon measures agreeing on these tests are equal. (Smooth compactly supported functions are dense in C0 on an open Euclidean set, Uniqueness of a Radon measure representing a distribution)
Proof
Given: The objects in the Statement.
First let be bounded and positive. For relatively open put . Then , , and is monotone. If a compact is covered by open sets , finitely many suffice, and there are continuous nonnegative compactly supported functions , each supported in one of these sets, whose sum is positive on . Indeed cover by finitely many balls with doubled closures compactly contained in the relevant and use distance cutoffs on these balls. On a neighborhood of normalize the by their sum. Thus any supported on with decomposes into finitely many with and each compactly supported in its assigned ; combine terms assigned to the same . Consequently . For pairwise disjoint opens, adding finitely many admissible functions gives the reverse inequality for every finite partial sum, so is countably additive on disjoint open unions. These compact partitions use only finite choices.
Define . For a sequence and , [A1] selects open with ; step 1.1 proves countable subadditivity. Zero and monotonicity are immediate, so is an outer measure, and for open . If , they have disjoint open neighborhoods in . Every open satisfies , by step 1.1. Taking the infimum and using subadditivity proves the metric condition. By [F2], restriction to Borel sets is a finite measure with .
For an admissible in the definition of , let . Every open admits , hence . Taking the supremum over proves . Outer regularity on every Borel set is the definition of . Finiteness gives compact inner regularity on every Borel set as well: given Borel and , choose compact with and open with . Then is compact and misses at most of . Thus is finite Radon, including regularity on all Borel sets.
If and for compact , the argument in step 3.1 gives . If instead , then for , the open set contains and every admissible for satisfies on all of . Positivity yields . Letting gives .
Fix and , take with , and put , , for . The sum of the is , and . Step 4.1 gives the same lower and upper bounds and for as for . Summing and telescoping gives . Hence equality holds for , then for every real by positive and negative parts. Uniform density [F3], boundedness of , and finiteness of extend the identity to .
Apply [F1] to and the preceding construction to , obtaining finite positive Radon measures . Their difference represents . Its total variation is dominated by , hence is regular by compact and open approximation with that finite positive Radon measure. Uniqueness follows from [F3]. All countable selections were the open near-minimizers in step 2.1; all other constructions were explicit or involved finitely many choices.
Test-field formula and L1 lower semicontinuity of spatial TV
Statement
For every open and real-valued , If are real-valued and in , then . In addition, assuming Countable Choice, for any real-valued the displayed supremum is finite if and only if , with equality to ; under the same assumption, an limit of real-valued BV functions with bounded liminf total variation belongs to and satisfies the same lower-semicontinuity inequality.
Statement references
Facts & Assumptions
Given: An open set , a real-valued , and, for the lower-semicontinuity clause, real-valued with in .
Countable Choice is assumed only for the finite-test-supremum characterization of arbitrary functions. (The Axiom of Countable Choice ())
The distributional derivative acts on a compactly supported smooth test function by the negative-transpose formula. (Spatial BV and distributional total variation)
The partition variation of a finite vector of signed Radon measures is a finite positive Radon measure and equals the supremum over compactly supported continuous vector fields of norm at most one. (Variation of a finite vector Radon measure is Radon)
is the space of continuous functions vanishing at infinity; compactly supported smooth functions are dense in it in the uniform norm. (Compact support, , and , Smooth compactly supported functions are dense in C0 on an open Euclidean set)
Under Countable Choice, every bounded real linear functional on is integration against a unique finite signed Radon measure. This specialized Euclidean construction uses explicit cutoffs and no Dependent Choice. (Euclidean real Radon representation under Countable Choice)
Proof
Given: The hypotheses listed above.
Suppose and write . The distributional derivative identity gives . The continuous-field dual formula [F2] bounds the supremum over smooth fields by . Conversely, for any with , for every , density [F3] gives one smooth compactly supported with ; replacing by keeps the unit bound and changes this error by at most another . Finiteness of the coordinate measures bounds the integral error by a fixed constant times . Letting (without selecting a sequence of approximants) shows that the smooth supremum is at least the continuous-field supremum . Thus .
Assume [A1], let real-valued , and suppose . For each coordinate , define on real . Taking the test vector with only its th component equal to and also its negative shows . By density [F3], extends uniquely to a bounded real linear functional on real . Apply [F4] directly to this real functional to obtain a finite signed Radon measure representing . Applying [F2] to and using [F3] to pass between continuous and smooth unit fields gives . Hence and .
If the limit is already in , boundedness of gives for each admissible . Each approximating integral is at most by step 1.1, so taking the supremum gives ; this branch uses no choice axiom.
If only is known, choose a subsequence whose variations converge to . The same test-integral limit gives . Under [A1], step 1.2 implies and . If , the extended inequality is automatic.
Full-space, Dirichlet, and Neumann TV conventions
Definition
Let be a bounded Lipschitz domain, meaning a bounded open set whose boundary has a finite cover by coordinate neighborhoods in which it is the graph of a Lipschitz function and lies on one side of that graph. For define the Neumann total variation by . Define its zero extension by almost everywhere on and almost everywhere on . Define the Dirichlet total variation by when and by otherwise. For define the full-space total variation by . Thus Neumann variation counts only the distributional derivative inside , while Dirichlet variation also counts any jump created by zero extension across .
Coarea identity for smooth scalar functions
Statement
Assume Countable Choice. Let be open and let satisfy . For set and for set . Then the level sets have finite perimeter relative to for almost every applicable , and
Statement references
Facts & Assumptions
Given: Countable Choice, an open , and a smooth real function with .
Countable Choice is assumed for the countable chart and surface-measure constructions. (The Axiom of Countable Choice ())
The critical values of a smooth scalar function on an open Euclidean set have Lebesgue measure zero. (Morse-Sard for Euclidean maps)
A map with nonsingular derivative has a local inverse, and an injective such map on an open set obeys the compactly supported change-of-variables formula. (The Euclidean inverse function theorem, A compactly supported Riemann integrand admits the global change-of-variables formula from a diffeomorphism near the relevant compact preimage)
On an -dimensional graph, Hausdorff measure divided by the repository normalization constant has density ; for graphs this agrees with the chart surface integral. Graph surface measures are Radon in their relative topology, and pushforward to the open ambient domain is Radon when the graph is relatively closed and the total measure finite. (Lipschitz graph area and calculus under Countable Choice, Chart and partition independence of surface measure)
For a graph boundary and a compactly supported vector field, integrating its divergence over the subgraph gives the graph flux formula. (The local graph flux calculation)
Rational points are dense in Euclidean space and form a countable family, so rational balls give a countable base. (The rationals embed densely in the reals, is countably infinite, A product of two at most countable sets is at most countable)
A countable open cover of an open Euclidean set admits a locally finite smooth partition of unity subordinate to that cover. (Locally finite smooth partitions of unity on Euclidean open sets)
A continuous unit-vector density against a finite Radon surface measure has partition variation equal to that surface measure. (A unit vector density has scalar variation measure)
Tonelli permits summing nonnegative chart integrals and interchanging the level and spatial integrations. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
Proof
Given: The hypotheses listed above.
Put . The balls with rational centers and radii whose closures lie in and on which some never vanishes form a countable open cover of by density and countability [F5]; assign each ball the least such coordinate . Each ball is convex. The map has nonzero Jacobian there; it is injective because along each line parallel to the th axis, is strictly monotone. Thus [F2] makes it a diffeomorphism onto its open image. By [F6], choose a locally finite smooth partition of unity on subordinate to these chart balls. On a ball assigned coordinate , write and ; the inverse chart has graph form , with and by implicit differentiation. Change of variables [F2] and the surface density [F3], applied to the compactly supported nonnegative weight , give
Sum the chart identities of step 1.1 over . Since on , Tonelli [F8] gives because on . Sard's theorem [F1] says that outside a null set every point of a level is regular, so the integrand agrees almost everywhere in with . This also establishes measurability of the level-area function as a countable sum of the chart integrals in step 1.1.
Fix a nonzero regular value for which the area in step 2.1 is finite; throughout the proof denotes the normalized graph measure from [F3], with counting measure if . In that case every graph chart is a single point at fixed level, its empty-coordinate Jacobian is one, and the same substitution identity in step 1.1 is the ordinary one-dimensional substitution formula. Then is a smooth hypersurface. For a compactly supported smooth test field , its intersection with is compact; local finiteness gives a neighborhood meeting only finitely many chart supports, whose partition sum is one there. Decompose into the finite chart-supported sum and a remainder vanishing near . The remainder has zero divergence integral over either level set because its restriction to that open set extends as a compactly supported smooth field. Each chart term obeys the graph flux formula [F4]. Summing shows that and . The level is relatively closed in ; hence this measure is finite and Radon by the graph area construction [F3], and [F7] gives its partition variation as exactly . Hence the indicator is BV and its perimeter equals that area. For and , respectively, Markov's inequality gives and , so the indicators are in . The area integral is finite, so almost every applicable nonzero level is regular and has finite area by step 2.1; the required perimeter equality and almost-everywhere finiteness follow.
One-sided BV traces and Green identity on a Lipschitz graph
Statement
Assume Countable Choice. In a Lipschitz graph chart let be the side , and let locally, with finite norm and variation on each smaller bounded graph collar under consideration. On every smaller base box there is a unique local trace such that The trace is linear and satisfies a bound , where is a fixed larger graph collar with positive margins at the chart sides and is sufficiently small. For every smooth vector field compactly supported away from those sides, The corresponding assertions hold for the subgraph with the normal reversed. For an interval endpoint in dimension one, the same assertions mean the one-sided scalar limit, the usual endpoint sign, and counting measure on the boundary.
Statement references
Facts & Assumptions
Given: Countable Choice and a smaller graph collar with closure, except its graph face, contained in the larger chart. Write for a larger base box and sufficiently small .
Local mollification is smooth, differentiates by convolution, and converges in on compact subsets. (Convolution with a mollifier is smooth, and derivatives pass under the integral sign, A unit-mass smooth bump generates an approximate identity, Every approximate identity converges to the identity in for )
Completed Euclidean Fubini and Tonelli hold under Countable Choice. Vertical translation in each fixed base slice therefore preserves volume for . (Tonelli and Fubini for the completed product, with only almost-everywhere section measurability, The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures)
A Lipschitz function is differentiable almost everywhere, its ordinary and weak derivatives agree, and graph area and normal have the formulas in the preceding lemma. (Lipschitz graph area and calculus under Countable Choice)
Finite signed Radon measures are determined by compactly supported smooth tests, and smooth cutoffs exist on nested balls. (Uniqueness of a Radon measure representing a distribution, A smooth bump between concentric Euclidean balls)
Proof
Given: The chart and in the Statement.
Fix with inside the larger chart. On every compact subset of , mollify using a nonnegative unit-mass bump, writing where the convolution ball stays in . The distributional derivative identity and [F2] give there. For , ordinary line integration gives For sufficiently small , the -neighborhood of this last strip lies in : its lower height is positive since , its upper height is below , and its lateral projection lies in . The convolution bound and [F2] make the right side at most , since each kernel integrates to at most one.
On each compact-height collar , , [F1] gives convergence of to . Choose a sequence whose errors on the first such collars are below , always using the least sufficiently large dyadic exponent. By [F2], for a full-measure set of heights the slice functions converge in . Applying step 1.1 at two such heights proves Repeat this construction for a countable sequence of smaller tending to zero and intersect the full-measure height sets. The collars decrease to the empty set inside , so finiteness of implies their measures tend to zero. Thus is Cauchy in as outside one null set.
Choose one height from each interval outside that null set by Countable Choice. The corresponding Cauchy sequence has an limit: choose measurable representatives, then a subsequence whose successive differences are below ; [F2] makes the sum of the absolute differences integrable and gives its almost-everywhere and limit. The Cauchy estimate in step 2.1 makes this limit independent of heights and gives the asserted convergence along all good heights. This also proves uniqueness and linearity. Averaging the bound over using [F2] gives . Since , this is the stated bound. Traces obtained on nested base boxes coincide by the same slice convergence.
The distributional identity extends from smooth to compactly supported Lipschitz vector fields inside . Indeed mollification converges uniformly to , while its derivatives are uniformly bounded and converge almost everywhere to the weak derivatives, by [F3] and Lebesgue differentiation: if is a bounded weak derivative at a strong Lebesgue point , then . Consequently by uniform convergence and finiteness, and by dominated convergence. Set and let be the continuous function zero on , linear from zero to one on , and one on . For fixed use , whose support is a compact subset of . Its almost-everywhere gradient uses the ordinary chain rule from [F3], and its transition term is By step 3.1, the uniform bound on , and uniform continuity of , this converges to . The other terms converge to and , since the cutoff tends pointwise to one in . Rearrangement proves the Green formula.
These formulas also show independence of the direction of a valid graph chart. On an overlap, [F3] applied to first identifies the outward vector surface measures by [F4]. Their variations are their scalar graph measures: for a unit measurable density against a finite positive measure , variation is at most by the triangle inequality, and is at least by partitioning the unit sphere into finitely many Borel sets of diameter below and projecting each vector integral onto a representative direction. Let . Thus the outward normals agree almost everywhere. Subtract the two Green formulas for general ; [F4] makes zero, and the same variation argument gives almost everywhere. Reflection gives the subgraph formulas. In dimension one, omit the base integral: the convolution and line estimate in steps 1.1–2.1 make Cauchy through almost every approaching an endpoint, and step 4.1 gives the endpoint boundary term. All arguments and bounds remain valid, with scalar absolute value and counting measure.
Strict smooth approximation in BV
Statement
Assume Countable Choice. For every open and there is a sequence such that in and . When , the approximating functions may be chosen compactly supported.
Statement references
Facts & Assumptions
Given: Countable Choice, an open set , and .
Countable Choice is used by the Lebesgue regularity and approximate-identity suppliers below. (The Axiom of Countable Choice ())
Under Countable Choice, Lebesgue measure on is Radon and regular, with finite measure on bounded sets. (Lebesgue measure is a Radon measure on R^n)
A unit-mass smooth bump generates a nonnegative approximate identity by rescaling. (An approximate identity on , The mollifier family generated by a unit-mass smooth bump, A unit-mass smooth bump generates an approximate identity, Every approximate identity converges to the identity in for )
Convolution of a locally integrable function with a mollifier is smooth and differentiates under the integral sign. (Convolution with a mollifier is smooth, and derivatives pass under the integral sign)
For nonnegative product-measurable functions on sigma-finite spaces, product and iterated integrals agree. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
The distributional variation equals the test-field supremum and is lower semicontinuous under convergence. (Test-field formula and L1 lower semicontinuity of spatial TV)
Every open Euclidean set has a locally finite nonnegative smooth partition of unity with compact supports. (Locally finite smooth partitions of unity on Euclidean open sets)
Smooth cutoffs exist on nested balls, including cutoffs equal to one on a smaller ball. (A smooth bump between concentric Euclidean balls)
If , then is a finite vector Radon measure and its partition variation is . The upper bound follows from the triangle inequality. For the reverse bound, partition the unit sphere into finitely many Borel sets of diameter below , project each vector integral onto a representative direction, and let . The weighted measure is finite; truncating its density and using Lebesgue regularity gives outer approximation on Borel sets and compact inner approximation on open sets, hence Radon regularity. Finiteness upgrades compact approximation to all Borel sets: for Borel , choose compact with and open with , where ; then is compact in and . (Lebesgue measure is a Radon measure on R^n)
Proof
Given: Countable Choice, , and as stated.
If , take the zero sequence. If and , its singleton supports itself, which is smooth, has zero gradient and variation, and gives the required constant sequence. Assume henceforth . By [F6], take a countable locally finite nonnegative smooth partition of unity on , with each compactly supported in .
Fix . Extend each by zero to . Fix a nonnegative unit-mass smooth bump and its rescalings . For each , the approximate-identity property [F2] gives in , and also in . Choose the least nonnegative integer for which is small enough that , the convolution supports remain in , and . Set . This sum is locally finite: for a compact , choose so its closed -neighborhood is compactly contained in . For all sufficiently large , ; if the thickened support of meets , then meets , and local finiteness of leaves only finitely many such indices. Thus is smooth by [F3]. Summing the first error terms and using gives .
The product rule follows by testing against : . Convolution commutes with distributional derivatives by the defining test pairing and Tonelli [F4] applied to positive and negative parts. These interchanges are product-measurable: each localized density depends only on its own integration variable, and all remaining kernel and smooth test factors are Borel on the product. Absolute integrability follows from the compact supports, the density norms and the finite coordinate variations. Thus [F4] applies before making the interchange. Since , local finiteness gives . Therefore . For the first sum, pointwise, so Tonelli and bound its norm by . The second sum has norm below by the choices in step 2.1. Hence .
Take for and set . Step 2.1 gives in , while step 3.1 gives . For each , integration by parts against compactly supported smooth tests identifies . Since is continuous and integrable by step 3.1, [F8] gives and . The choice-free lower-semicontinuity clause of [F5], now applied to , gives the reverse inequality. Thus the variations converge. For , choose a smooth cutoff equal to one on , supported in , and satisfying , using [F7]. Since each and its gradient are integrable, choose so its tail, gradient tail, and are all below . The products are compactly supported and smooth, converge to in , and have gradient integrals bounded above by ; [F8] puts them in and lower semicontinuity gives convergence of their variations as well.
Trace formula and bounded zero extension on Lipschitz domains
Statement
Assume Countable Choice. Here on a boundary denotes normalized Hausdorff measure: the repository's unnormalised -dimensional Hausdorff measure divided by for , and counting measure for . Let and let be a bounded Lipschitz domain, meaning a bounded open set whose boundary has a finite cover by coordinate neighborhoods in which it is the graph of a Lipschitz function and lies on one side of the graph. There is a unique bounded linear trace operator such that for every and , where is the outward unit normal defined almost everywhere on . The zero extension belongs to and satisfies for a finite constant depending only on the domain. The same conclusions hold in dimension one for a bounded open set with a finite one-sided graph cover, with the two one-sided endpoint traces and counting measure on its finite boundary.
Statement references
Facts & Assumptions
Given: Countable Choice, a bounded Lipschitz domain , and .
Every smaller Lipschitz graph chart has a linear one-sided trace, its local norm estimate, and the local BV Green formula. Traces agree on overlapping charts. The same result supplies the endpoint case in dimension one. (One-sided BV traces and Green identity on a Lipschitz graph)
Normalized Hausdorff measure on a Lipschitz graph has density , with its almost-everywhere unit outward normal. (Lipschitz graph area and calculus under Countable Choice)
Compact sets admit finite smooth cutoff covers, and finite signed Radon measures are determined by smooth compactly supported tests. (A smooth bump between concentric Euclidean balls, Uniqueness of a Radon measure representing a distribution)
A finite vector of signed Radon measures has finite Radon partition variation. (Variation of a finite vector Radon measure is Radon)
Since is bounded, and are closed bounded subsets of , hence compact. A finite subcover by smaller graph charts still covers ; the graph area formula in [F2] gives finite Radon surface measure there. In dimension one the finite chart cover makes the boundary finite. (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)
If is a finite positive Radon measure and , then the signed measure is finite Radon. For , truncate so the tail is arbitrarily small. For the bounded truncation, compact inner approximation of open sets and open outer approximation of Borel sets for control the weighted errors by the uniform bound. Taking the tail and regularity errors to zero gives compact inner regularity on open sets and outer regularity on Borel sets for . Finiteness upgrades compact approximation to all Borel sets: for Borel , choose compact with and open with ; then is compact in and . Finally, the partition of into and gives , so the signed measure has regular total variation.
A compactly supported vector field can be approximated together with its first derivatives uniformly by smooth compactly supported mollifications. Normalize a nonnegative bump from [F3] to mass one; uniform continuity of the field and its derivatives gives uniform convergence, and differentiation of the convolution follows by integration by parts.
Proof
Given: Countable Choice and the bounded Lipschitz domain in the Statement.
If , its BV space and boundary space are both the zero space, the zero trace is unique, and every formula and estimate holds with both sides zero. Assume henceforth . By [F5], is compact; choose finitely many smaller graph charts with positive margins inside the original charts that still cover it. Each smaller graph base is bounded and its Lipschitz constant finite, so [F2] gives finite Radon surface measure on that patch and . In each chart [F1] defines a local trace and bounds its surface norm, using [F2], by a chart constant times . On overlaps these local traces agree by [F1]. Consequently they define one class with . Linearity follows locally from [F1], hence globally.
Construct a finite smooth partition equal to one on a neighborhood of , subordinate to the boundary charts and the interior open set : by [F5] this compact set is covered by finitely many balls with doubled closures in those open sets; take the bumps in [F3], and divide them by their positive sum near . Multiply by one further smooth cutoff supported where the sum is positive and equal to one near . First take and apply the local Green identity [F1] to each chart-supported field . For the interior-supported field the defining distributional identity applies. Sum the identities. Since and near , the interior and boundary sums are exactly For an arbitrary , use [F7] to approximate and its first derivatives uniformly by compactly supported smooth fields; finite variation and pass every term to the limit.
Extend each coordinate of by zero from to . It is a finite signed Radon measure: compact inner approximation can be performed inside , and outer approximation in the ambient space follows by applying that inner approximation to the complement and using finiteness. For each coordinate , the boundary density is integrable because and . By [F6], is a finite signed Radon measure; this verifies the required weighted-measure regularity, not just its finiteness. Thus their difference is a finite Radon vector measure by [F4]. The formula in step 2.1 says exactly that , so .
The two summands defining in step 3.1 are supported on the disjoint Borel sets and . The partition definition of variation therefore gives the sum of their variations. For a unit measurable vector density and scalar density , the boundary variation is : the triangle inequality gives the upper bound, and a finite partition of the unit sphere into pieces of diameter below , applied to the direction , gives the lower bound by projection; let . Hence . Step 1.1 gives the asserted bound. If another trace satisfied the Green identity, their difference times would integrate to zero on all smooth tests, hence be zero by [F3]; the same variation calculation gives equality of the trace classes.
In dimension one, each smaller graph neighborhood contains one boundary point, so the finite graph cover makes the boundary finite. A bounded open set with finite boundary is a finite disjoint union of bounded intervals. Use the one-sided endpoint construction in [F1] on each of their finitely many endpoints. The partition argument of step 2.1 and the disjoint interior/boundary measure calculation in steps 3.1–4.1 apply verbatim with counting measure and outward signs at a left endpoint and at a right endpoint. This proves the stated dimension-one companion.
Coarea formula for spatial BV
Statement
Assume Countable Choice. Let be open, let , and for set while for set . Then for almost every applicable these sets have finite perimeter relative to , and
Statement references
Facts & Assumptions
Given: Countable Choice, an open , and .
Countable Choice is the assigned axiom strength for this item. (The Axiom of Countable Choice ())
Strict smooth approximation and the smooth-level coarea calculation are available under Countable Choice. (Strict smooth approximation in BV, Coarea identity for smooth scalar functions)
Under Countable Choice, finite distributional test variation of an arbitrary real function is equivalent to membership in , with equality to its total variation. In particular this implication and lower semicontinuity apply to limits of level indicators. (Test-field formula and L1 lower semicontinuity of spatial TV)
Tonelli, including the completed Euclidean product, permits integrating nonnegative level-indicator errors and their countable sums. Fatou and monotone convergence hold for these integrals. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Tonelli and Fubini for the completed product, with only almost-everywhere section measurability, The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures, Fatou's lemma, Monotone convergence for the integral)
Proof
Given: The hypotheses in the Statement.
For any real , define its extended test variation as the supremum of over smooth compactly supported vector fields with . It is a lower semicontinuous extended nonnegative function on : each test integral is a continuous linear functional and is the union of its open superlevel sets. By [F2], is equivalent to , in which case . For the indicator lies in , since its norm is at most , and it is right continuous as an -valued function of : if , its indicators increase to and their errors tend to zero by monotone convergence. Dyadic right-step approximations therefore make this map Borel measurable. For , is similarly left continuous and Borel. Composition with the lower semicontinuous shows that both extended level-variation functions are measurable.
By [F1], take smooth strict approximants with and , passing to a subsequence by least indices if needed. For real numbers , the total length of the positive and negative levels at which their signed superlevel or sublevel indicators differ is . Hence [F3] gives Sum over and apply [F3]: for almost every applicable nonzero level, the indicator errors are summable, and in particular the level indicators converge in . The lower semicontinuity from step 1.1 gives at those levels. Fatou and the smooth coarea identity [F1] consequently give The integral is finite, so its integrands are finite almost everywhere; [F2] then proves the stated almost-everywhere finite-perimeter assertion.
For any admissible smooth test field , signed layer cake gives almost everywhere. The absolute integral against is bounded by , so iterated integration is valid. Each level test integral in absolute value is at most its extended variation, using also in step 1.1. Therefore is at most the sum of the two perimeter integrals. Take the supremum over and apply [F2] to to obtain the reverse of the inequality in step 2.1. Equality follows. Changing the representative of changes each level set only by a spatial null set, so all conclusions concern the given class.
BV Sobolev inequality in full space
Statement
Assume Countable Choice and let . Every satisfies
Statement references
Facts & Assumptions
Given: Countable Choice, an integer , and .
Countable Choice is needed for the strict smooth approximation used below. (The Axiom of Countable Choice ())
Every full-space BV function has a compactly supported smooth strict approximation converging in and in gradient integral. (Strict smooth approximation in BV)
The Loomis–Whitney integral inequality bounds the coordinate-product integral by the product of its -dimensional integrals. (Loomis–Whitney integral inequality)
For a smooth function with continuous derivative, the one-dimensional fundamental theorem gives its value from the integral of its derivative along each coordinate line. (Fundamental theorem of calculus for Banach-valued continuous curves)
Tonelli allows the coordinate-line integrals to be assembled into the full-space integrals below. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
Proof
Given: The hypotheses listed above.
First let . For each , put Tonelli [F4] shows is nonnegative measurable and integrable. By [F3], integrating from a point to the left of the compact support up to gives for every coordinate . Multiplication and raising to the power yield
Integrating this inequality and applying [F2] gives The middle inequality is arithmetic-geometric mean; the last follows pointwise from . Thus the desired inequality holds for smooth compactly supported , with the stronger constant .
By [A1] and [F1], choose with in and . Select a subsequence with ; Tonelli [F4] gives , hence almost everywhere. Fatou and step 2.1 imply Taking the power proves the stated inequality and at the same time shows .
BV extension and translation bounds
Statement
Assume Countable Choice. Let be a bounded Lipschitz domain, meaning a bounded open set whose boundary has a finite cover by Lipschitz graph neighborhoods with on one side of each graph. The zero-extension map is bounded from to , with support in , and there is a finite such that for every . For every and ,
Statement references
Facts & Assumptions
Given: Countable Choice, a bounded Lipschitz domain , , , and .
The trace result gives a zero extension in with variation bounded by . (Trace formula and bounded zero extension on Lipschitz domains)
Under Countable Choice, full-space BV functions admit compactly supported smooth strict approximations. (Strict smooth approximation in BV)
Translations preserve Lebesgue measure and the norm. (Translation of a function on , Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation)
A differentiable function with continuous derivative satisfies the one-dimensional fundamental theorem of calculus along compact intervals. (Fundamental theorem of calculus for Banach-valued continuous curves)
Nonnegative integrands may be integrated by iterated integration. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
Countable Choice is assumed for full-space strict approximation. (The Axiom of Countable Choice ())
Proof
Given: Countable Choice, , , and .
The zero extension is in by [F1]. Its norm equals , and [F1] bounds its full-space variation by ; its support is contained in by definition.
Let first . The fundamental theorem [F4] along the segment from to gives . Integrate the absolute value in , apply Tonelli [F5], and use translation invariance [F3] to obtain
For general , choose with in and by [F2] under [A1]. Translation is an isometry [F3], so in . Passing to the limit in step 1.2 proves the translation inequality.
Compactness and lower semicontinuity for bounded-domain BV
Statement
Assume Countable Choice. Let be a bounded Lipschitz domain, meaning a bounded open set whose boundary has a finite cover by Lipschitz graph neighborhoods with on one side of each graph. Total variation is lower semicontinuous under convergence of BV functions. Every sequence satisfying has a subsequence converging in to a function in .
Statement references
Facts & Assumptions
Given: Countable Choice, a bounded Lipschitz domain , and a sequence bounded in the BV norm.
Zero extensions have common bounded support and uniformly bounded BV norms, and translations obey the linear BV estimate. The extension theorem includes the endpoint case in dimension one. (BV extension and translation bounds)
Under Countable Choice, an -bounded sequence with common bounded support and uniform translation continuity has an -convergent subsequence. This is proved by finite cell averages and a deterministic diagonal selection, without the metric compactness/sequential-compactness equivalence. (Sequence compactness in L1 by finite cell averages)
Under Countable Choice, an limit with bounded liminf variation belongs to and satisfies lower semicontinuity; if the limit is already BV, the inequality uses no choice axiom. (Test-field formula and L1 lower semicontinuity of spatial TV)
Proof
Given: The hypotheses in the Statement; let bound the displayed BV norms.
For in with all functions in , each compactly supported smooth unit test field has . Taking the supremum using [F3] proves the lower-semicontinuity assertion. If only is initially known and that liminf is finite, the Countable Choice characterization in [F3] also proves .
Extend every by zero. By [F1], the functions have support in the bounded set , satisfy , and have . Their translation differences are at most , uniformly in . Hence [F2] gives a subsequence in . Restriction yields in . The variations in are bounded by , so step 1.1 and [F3] prove and . This proves the full compactness conclusion.
BV extension, translation, and coarea
Statement
Assume Countable Choice. For every bounded Lipschitz domain (a bounded open set with a finite Lipschitz graph cover of its boundary, with the domain on one side of each graph), zero extension is a bounded map with support in and satisfies ; translations satisfy for ; and, for every open and every , if for and for , then these sets have finite perimeter for almost every applicable and
Statement references
Facts & Assumptions
Given: Countable Choice, bounded Lipschitz domains, and BV functions on the stated domains.
Bounded zero extension and the full-space translation estimate hold under Countable Choice, including dimension one. (BV extension and translation bounds)
The signed-level coarea identity and almost-everywhere finite perimeter hold under Countable Choice on arbitrary open sets. (Coarea formula for spatial BV)
Proof
Given: The hypotheses in the Statement.
Apply [F1] to each bounded Lipschitz domain and to the stated full-space BV functions. This proves the support, norm and translation assertions.
Apply [F2] on the arbitrary open set to . It gives exactly the two signed level families, their almost-everywhere finite perimeters, and the displayed equality. All suppliers assume only Countable Choice.
Relative isoperimetric inequality on bounded connected Lipschitz domains
Statement
Assume Countable Choice, let , and let be a bounded connected Lipschitz domain (a bounded open set with a finite Lipschitz graph cover of its boundary, with the domain on one side of each graph, and not separable into two disjoint nonempty relatively open subsets). There is a constant such that every measurable with satisfies
Statement references
Facts & Assumptions
Given: Countable Choice, , a bounded connected Lipschitz domain , and a finite-perimeter set .
Zero extension has a BV bound controlled by interior variation and the norm. (BV extension and translation bounds)
Under Countable Choice, a bounded BV sequence on has an -convergent subsequence with a BV limit and lower semicontinuity. (Compactness and lower semicontinuity for bounded-domain BV)
Zero distributional gradient on a connected open domain forces an almost-everywhere constant under Countable Choice. (A zero distributional gradient is constant on a connected domain)
The full-space BV Sobolev inequality holds under Countable Choice. (BV Sobolev inequality in full space)
Under Countable Choice, Lebesgue measure is finite on bounded sets. Every nonempty open subset of contains an open box with positive side lengths, whose measure is their positive product; hence bounded nonempty openness gives . (Lebesgue measure is a Radon measure on R^n, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Proof
Given: The hypotheses in the Statement. Put .
The empty domain gives the inequality with both sides zero, so assume . Its openness and nonemptiness give an open box with positive side lengths contained in , and its boundedness puts inside a bounded box; [F5] therefore gives . For , take to be the smaller side. Its indicator is BV: the distributional derivative of the constant function in is zero, so and both sides have the same relative perimeter . Its zero extension has norm . By [F1] and [F4], for a fixed depending only on . If , then , so . For the conclusion is immediate.
Among sets with , the relative perimeters have a positive lower bound, unless that family is empty. Otherwise, if the infimum were zero, Countable Choice would select a sequence in this family with . Its indicators are uniformly BV-bounded. By [F2], a subsequence converges in to with . The distance from to is bounded by for every , so its integral is zero by convergence; hence is an indicator almost everywhere. Its volume lies in by convergence. But its zero variation makes every coordinate distributional derivative zero, so [F3] makes constant almost everywhere. An indicator constant must be zero or one, contradicting the volume bounds. This proves a positive lower bound whenever the family is nonempty.
In the remaining case , both side volumes meet the bounds in step 2.1, so and . Combine this constant with from step 1.1. If the intermediate-volume family is empty, step 1.1 already covers every set. Thus a finite domain constant gives the asserted inequality for every finite-perimeter .
4 · Examples, counterexamples and false statements
None yet.
Sources
- Gláucio Terra, Introduction to Geometric Measure Theory — Lecture Notes, version 1.6
- Glaucio Terra, Introduction to Geometric Measure Theory, Theorems 1.80 and 7.49
- Glaucio Terra, Introduction to Geometric Measure Theory, Rademacher Section 5.1.2 and area Section 5.2
- Piotr Rybka, The space in variational and evolution problems — Lecture Notes in Mathematical Sciences 15
- Donald L. Cohn, Measure Theory, second edition, Chapter 7
- José A. Iglesias, Gwenael Mercier, and Otmar Scherzer, A note on convergence of total variation regularized linear inverse problems, Inverse Problems 34 (2018), 055011
- BV Functions minicourse, Oxford Mathematical Institute, Version 3.0
- Glaucio Terra, Introduction to Geometric Measure Theory, Theorem 7.39