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LemmaStatement: Literature-sourcedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passaudited 2026-08-11
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The jumps of a variation function equal the absolute jumps of the original function

Statement

Let f:[a,b]Rf:[a,b]\to\mathbb R have bounded variation and let Vf(x)=Var[a,x](f)V_f(x)=\operatorname{Var}_{[a,x]}(f). At an interior point cc,

Vf(c+)Vf(c)=f(c+)f(c),Vf(c)Vf(c)=f(c)f(c).V_f(c+)-V_f(c)=|f(c+)-f(c)|,\qquad V_f(c)-V_f(c-)=|f(c)-f(c-)|.

The corresponding one-sided formula holds at either endpoint. In particular, VfV_f is continuous at every point where ff is continuous.

Facts & Assumptions

Given: A bounded-variation function f:[a,b]Rf:[a,b]\to\mathbb R, its variation function VfV_f, and a point c[a,b]c\in[a,b].

[L1]

Vf(y)Vf(x)=Var[x,y](f)V_f(y)-V_f(x)=\operatorname{Var}_{[x,y]}(f) whenever xyx\le y (Total variation is additive over adjacent subintervals and decreases under restriction).

[L2]

f(y)f(x)Var[x,y](f)|f(y)-f(x)|\le\operatorname{Var}_{[x,y]}(f) (Total variation bounds increments; bounded-variation functions are bounded; zero variation means constant).

Proof

technique · direct
1.1

Since VfV_f is nondecreasing and bounded above by Vf(b)V_f(b), its one-sided limits exist. By [L1] and [L2], Vf(x)Vf(c)f(x)f(c)V_f(x)-V_f(c)\ge|f(x)-f(c)| for x>cx>c; passage to the right limit gives Vf(c+)Vf(c)f(c+)f(c)V_f(c+)-V_f(c)\ge|f(c+)-f(c)|.

L1L2L3L4
1.2

For the reverse inequality, fix x0>cx_0>c and put xn=c+(x0c)2nx_n=c+(x_0-c)2^{-n}. Let an=Var[xn+1,xn](f)a_n=\operatorname{Var}_{[x_{n+1},x_n]}(f). By repeated additivity, every partial sum of the nonnegative series nan\sum_na_n is Var[xN,x0](f)\operatorname{Var}_{[x_N,x_0]}(f) for a suitable NN, hence is bounded by Var[c,x0](f)\operatorname{Var}_{[c,x_0]}(f). Its tails therefore tend to zero by [L6], while xncx_n\downarrow c by [L7].

L1L6L7
2.1

Given ε>0\varepsilon>0, take NN so large that the series tail from NN is below ε\varepsilon and f(y)f(c+)<ε|f(y)-f(c+)|<\varepsilon whenever c<yxNc<y\le x_N. For any partition c=t0<t1<<tk=xNc=t_0<t_1<\cdots<t_k=x_N, choose mNm\ge N with xm+1<t1xmx_{m+1}<t_1\le x_m. The part after its first increment is at most [step 1.2, L1, L2, L3, L6] Var[t1,xN](f)Var[xm+1,xN](f)=n=Nman<ε,\operatorname{Var}_{[t_1,x_N]}(f)\le\operatorname{Var}_{[x_{m+1},x_N]}(f)=\sum_{n=N}^{m}a_n<\varepsilon, while f(t1)f(c)f(c+)f(c)+ε|f(t_1)-f(c)|\le|f(c+)-f(c)|+\varepsilon. Taking the supremum over partitions gives Var[c,xN](f)f(c+)f(c)+2ε\operatorname{Var}_{[c,x_N]}(f)\le|f(c+)-f(c)|+2\varepsilon. Restriction gives the same bound for c<xxNc<x\le x_N, and [L2] gives the reverse bound in the limit.

3.1

Thus limxcVar[c,x](f)=f(c+)f(c)\lim_{x\downarrow c}\operatorname{Var}_{[c,x]}(f)=|f(c+)-f(c)|, and [L1] proves the right-hand formula. Applying steps 1.2–2.1 to the reversed interval proves the left-hand formula. If ff is continuous at cc, both absolute jumps vanish by [L5], so VfV_f is continuous there. Endpoint cases use only the available side.

step 1.1step 2.1L1L3L5

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