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The jumps of a variation function equal the absolute jumps of the original function
Statement
Let have bounded variation and let . At an interior point ,
The corresponding one-sided formula holds at either endpoint. In particular, is continuous at every point where is continuous.
Facts & Assumptions
Given: A bounded-variation function , its variation function , and a point .
Every relevant one-sided limit of a BV function exists (A bounded-variation function has at most countably many discontinuities, all of the first kind, The left and right limits of at , as limits of the restrictions of to and ).
Finite sums and differences preserve existing one-sided limits (Sums, scalar multiples, products and quotients of function limits, the quotient under the hypothesis that the denominator limit is nonzero).
Continuity is equality of the relevant limit with the function value (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point).
A bounded nondecreasing sequence converges; its partial sums are therefore Cauchy, so the sums over all sufficiently remote finite tails are uniformly small (A monotone sequence converges if and only if it is bounded, Series, partial sums, convergence and the sum, divergence, and the tail series, A series converges iff each of its tail series converges, and the sum splits as plus the -th tail, Every convergent sequence is Cauchy).
Geometric sequences with ratio in tend to zero (For the sequence is null, and for the sequence diverges to ).
Proof
Since is nondecreasing and bounded above by , its one-sided limits exist. By [L1] and [L2], for ; passage to the right limit gives .
For the reverse inequality, fix and put . Let . By repeated additivity, every partial sum of the nonnegative series is for a suitable , hence is bounded by . Its tails therefore tend to zero by [L6], while by [L7].
Given , take so large that the series tail from is below and whenever . For any partition , choose with . The part after its first increment is at most [step 1.2, L1, L2, L3, L6] while . Taking the supremum over partitions gives . Restriction gives the same bound for , and [L2] gives the reverse bound in the limit.
Thus , and [L1] proves the right-hand formula. Applying steps 1.2–2.1 to the reversed interval proves the left-hand formula. If is continuous at , both absolute jumps vanish by [L5], so is continuous there. Endpoint cases use only the available side.
Depends on
- Total variation is additive over adjacent subintervals and decreases under restriction
- Total variation bounds increments; bounded-variation functions are bounded; zero variation means constant
- A bounded-variation function has at most countably many discontinuities, all of the first kind
- The left and right limits of $f$ at $c$, as limits of the restrictions of $f$ to $A \cap (-\infty, c)$ and $A \cap (c, \infty)$
- Sums, scalar multiples, products and quotients of function limits, the quotient under the hypothesis that the denominator limit is nonzero
- Continuity of $f : A \to \mathbb{R}$ at a point of $A$ and on $A$: the $\varepsilon$-$\delta$ condition, its agreement with $\lim_{x \to c} f(x) = f(c)$ at a limit point, and continuity at an isolated point
- Series, partial sums, convergence and the sum, divergence, and the tail series
- A monotone sequence converges if and only if it is bounded
- A series converges iff each of its tail series converges, and the sum splits as $s_N$ plus the $N$-th tail
- Every convergent sequence is Cauchy
- For $|r| < 1$ the sequence $r^k$ is null, and for $|r| > 1$ the sequence $|r|^k$ diverges to $+\infty$
Used by
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Direct dependencies and their dependencies through the next three levels: 127 results over 30 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Christopher Heil, Absolute Continuity and the Banach-Zaretsky Theorem (standard reference, not scraped)