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Bounded Variation and the Riemann–Stieltjes Integral: Examples and Counterexamples
1 · Prerequisites
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Foundations of the Real Numbers for Analysis
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Series: Convergence and the Nonnegative Tests
- Suprema and Infima
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
is Lipschitz and absolutely continuous but not on
Example
The absolute-value function separates two implications in the hierarchy: it is Lipschitz, hence absolutely continuous, but is not even differentiable at the origin.
Facts & Assumptions
Given: The function on .
The reverse triangle inequality gives (The reverse triangle inequality).
Every Lipschitz function on a compact interval is absolutely continuous ( implies Lipschitz, Lipschitz implies absolutely continuous, and absolutely continuous implies continuous and bounded variation).
Differentiability requires a two-sided difference-quotient limit (The derivative of at a point that is a limit point of , and differentiability on a set).
Verification
By [L1], is -Lipschitz, and [L2] makes it absolutely continuous.
At zero, equals for and for . The two one-sided limits differ, so [L3] shows that does not exist. Therefore is not on .
is absolutely continuous but not Lipschitz on
Example
The function is absolutely continuous on , although its slope near zero prevents any global Lipschitz constant.
Facts & Assumptions
Given: on .
Nonnegative square roots exist, are unique, and are increasing (Existence and uniqueness of -th roots: a unique with , Squaring is monotone on the nonnegatives).
Absolute continuity is tested on finite disjoint families of intervals (Absolute continuity on a compact interval).
A Lipschitz bound must hold for every pair of points (Lipschitz map, -Hölder map for rational , and contraction).
Verification
Let be pairwise nonoverlapping subintervals. Fix and split at the one family interval, if any, that crosses ; monotonicity makes this split preserve its endpoint increment. The resulting pieces contained in contribute at most in total, because their increments telescope after gaps are filled. On every remaining interval, whose left endpoint satisfies , [given]
Given , choose with , then require . Steps 1.1 and 1.2 make the total endpoint increment less than , proving absolute continuity by [L2].
If a Lipschitz constant existed, the pair and would give , hence for every positive integer , contradicting the Archimedean property. Thus [L3] fails.
The Cantor function is continuous and of bounded variation but not absolutely continuous
Example
The Cantor function is continuous and nondecreasing, so it has total variation one, but it is not absolutely continuous.
Facts & Assumptions
Given: The Cantor function and its standard stage construction.
The Cantor function is continuous and nondecreasing, with and (The Cantor function is continuous on , The Cantor function is well defined, satisfies whenever , is surjective onto , and is constant on every interval removed from the Cantor set).
At stage , the surviving closed intervals have total length , and increases by across each.
The sequence tends to zero (For the sequence is null, and for the sequence diverges to ).
Verification
Monotonicity makes every variation sum telescope after its absolute values are removed, so . Thus is BV.
For the finite disjoint family of the surviving intervals, the total length is but the sum of endpoint increments is . By [L3], the former is eventually smaller than every prescribed , while the latter never falls below, say, . This contradicts the definition of absolute continuity.
A continuous function on can have unbounded variation
Example
Let and define Then is continuous on but has unbounded variation.
Facts & Assumptions
Given: The displayed function .
Distance to a nonempty set is -Lipschitz (, so the distance to a fixed nonempty set is -Lipschitz).
The integer-part property gives an integer with ; one of and is at most , so . The definition gives value zero at integers, and the two nearest integers to are both at distance (Integer part: for every real there is exactly one integer with , The integers as equivalence classes of pairs of naturals).
The harmonic series diverges (For rational , converges iff at exponent ).
Verification
By [L1] and the algebra of limits, is continuous for . By [L2], , so as . Hence is continuous on .
For every integer , , while [given] The ordered partition containing these alternating zeros and peaks for therefore has variation sum at least , apart from at most one endpoint term.
Since and the harmonic partial sums are unbounded by [L3], the variation sums in step 1.2 are unbounded. Thus the continuous function is not BV.
A one-jump integrator evaluates a continuous integrand at the jump
Example
Fix and let for and for . For every continuous ,
Facts & Assumptions
Given: The one-jump integrator and a continuous .
A Stieltjes sum weights each tag by the corresponding integrator increment (Riemann–Stieltjes sums, upper and lower sums, and the Riemann–Stieltjes integral).
Verification
In every tagged partition, all increments of vanish except the one on the interval across its jump; that increment is one. Its tag satisfies , so the complete Stieltjes sum is and tends to by [L2].
The same computation counts a jump at . A jump at is represented by and for and likewise contributes . By contrast, merely assigning a constant endpoint value on the whole interval creates no increment and hence has integral zero.
A finite-step integrator gives a weighted sum over its jumps
Example
Let , let be points of the open interval , as in the one-jump example, and let For every continuous ,
Facts & Assumptions
Given: The displayed finite-step integrator and a continuous .
For and equal to below and from on, every continuous has : a single jump of weight one at an interior point evaluates there (A one-jump integrator evaluates a continuous integrand at the jump).
The Stieltjes integral is linear in its integrator (Linearity and interval additivity of the Riemann–Stieltjes integral).
Verification
The constant term has every increment equal to zero. By [L1], each contributes , and finite linearity [L2] gives the displayed sum.
Ordering the distinct jump points prevents double counting. The jump points are interior because [L1] places them strictly inside, and the restriction is not cosmetic: takes the value at every point of , so a jump placed at makes every increment zero and contributes nothing, while the weighted sum would still count .
A Riemann–Stieltjes integrable integrand need not be bounded
Example
On , set and for , and let be the unit step at . Then is unbounded but
Facts & Assumptions
Given: The displayed and step integrator .
Only the partition interval across the jump of has a nonzero Stieltjes weight (Riemann–Stieltjes sums, upper and lower sums, and the Riemann–Stieltjes integral).
The function is continuous at (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point).
Verification
For each positive integer , , so the range of is not bounded above.
Every Stieltjes sum equals for a tag in the interval across ; as the mesh tends to zero, . By [L2], these sums tend to . The unbounded behavior near zero is multiplied only by zero increments of .
The Cantor function defines a nonclassical Stieltjes integrator and
Example
If is the Cantor function, then it is a continuous BV integrator and
Facts & Assumptions
Given: The Cantor function on .
The function is continuous and nondecreasing, with and (The Cantor function is continuous on , The Cantor function is well defined, satisfies whenever , is surjective onto , and is constant on every interval removed from the Cantor set).
A continuous integrand is integrable against a BV integrator (A continuous integrand is Riemann–Stieltjes integrable against every bounded-variation integrator).
Verification
Monotonicity and [L1] make BV, so existence follows from [L2]. Every tagged sum for the constant integrand telescopes: [L1, L2]
Thus its common limit is one. This computation invokes neither a derivative of nor measure theory.
A common jump can destroy Riemann–Stieltjes integrability
Example
Let and put , the unit step that is zero left of and one at and right of . Both functions are BV, but does not exist.
Facts & Assumptions
Given: The two identical unit-step functions.
A Stieltjes integral must be the same limit for every sufficiently fine choice of partition and tags (Riemann–Stieltjes sums, upper and lower sums, and the Riemann–Stieltjes integral, The Riemann–Stieltjes integral is unique).
For a nondecreasing function every partition increment is nonnegative, so the absolute values in the variation sum may be removed and the finite sum telescopes to the endpoint increment (Bounded variation and total variation on an interval, Finite sums and finite products, by recursion, Laws of finite sums and finite products).
Verification
By [L2], both and have total variation one. For every small enough, choose a partition containing and . The only nonzero integrator increment occurs on .
Tag that interval first at and then at . The corresponding sums are respectively and , although both partitions have mesh tending to zero after the other intervals are refined. Thus no common mesh limit exists, contradicting the necessary condition [L1].
Example
The reduction for a differentiable integrator gives
Facts & Assumptions
Given: and on .
A integrator satisfies (A continuously differentiable integrator reduces Stieltjes integration to ordinary integration).
The working FTC evaluates an integral from an antiderivative (The second fundamental theorem: if is differentiable on with and is integrable, then ).
Verification
Directly from the difference quotient, [given] so . Likewise, by expanding the difference quotient.
Therefore [L1] and [L2] give [L1, L2] ∎
A nonlinear reparametrisation leaves a Stieltjes integral unchanged
Example
For on , the change-of-variable theorem gives the concrete identity
Facts & Assumptions
Given: , , and on .
Increasing continuous reparametrization preserves a Stieltjes integral (Change of variable for the Riemann–Stieltjes integral).
The identity integrator gives the ordinary Riemann integral (The identity integrator recovers the Riemann integral).
A integrator reduces the integral to one against its derivative (A continuously differentiable integrator reduces Stieltjes integration to ordinary integration).
Verification
The map is a strictly increasing continuous bijection of onto itself. Applying [L1] gives .
Direct difference quotients give and . Hence [L2], [L3], and the FTC give [L2, L3] ∎
Young's theorem integrates a Hölder function of unbounded variation against itself
Example
There is a -Hölder function of unbounded variation for which the Young integral nevertheless exists.
Facts & Assumptions
Given: Let , put , and tile by consecutive intervals of lengths accumulating at zero. On , let be the symmetric triangular tent of height , and set .
The -series converges for and diverges for (For rational , converges iff ).
Rational powers are monotone and obey their exponent laws (Monotonicity of and of , Laws of rational exponents).
Young's theorem applies when the two Hölder exponents have sum greater than one (Young's Riemann–Stieltjes existence theorem for rational Hölder exponents).
Verification
By [L1], and , so the intervals tile . On one tent, the linear slope estimate and [L2] give . If lie in different tents, let be the endpoint of 's tent toward and the endpoint of 's tent toward . Both have value zero and , so the two one-tent estimates and the triangle inequality give . Taking the endpoints of successively smaller tents gives the same estimate at zero. Thus is -Hölder.
A partition through the endpoints and peaks of the first tents has variation at least [given] This is unbounded by [L1], so is not BV.
Since , [L3] nonetheless gives existence of . This is genuinely outside the BV existence theorem.
Sources
Standard references
Recommended treatments; not extraction sources.
- Christopher Heil, Absolute Continuity and the Banach-Zaretsky Theorem, Section 2
- Christopher Heil, Absolute Continuity and the Banach-Zaretsky Theorem, Example 3.3
- William F. Trench, Introduction to Real Analysis, Section 3.2
- W. Rudin, Principles of Mathematical Analysis, Ch. 6, Theorem 6.15
- W. Rudin, Principles of Mathematical Analysis, Ch. 6, discussion after Definition 6.1
- W. Rudin, Principles of Mathematical Analysis, Ch. 6, discussion following Theorem 6.10
- W. Rudin, Principles of Mathematical Analysis, Ch. 6, Theorem 6.17
- W. Rudin, Principles of Mathematical Analysis, Ch. 6, Theorem 6.19
- Nourdin, Nualart, and Peccati, The Breuer–Major theorem in total variation: improved rates under minimal regularity, Section 2.2