Every BV function is a difference of two increasing functions — f=g−h with g(x)=V0x(f) the variation function. Drag the probe point over x2sinx1 and watch the identity hold pointwise.
Assume f is of bounded variation on [a,b]. Prove that with g(x)=Vax(f) and h(x)=g(x)−f(x), both g and h are increasing, so f=g−h (one direction of the Jordan decomposition).
Vax2(f)=Vax1(f)+Vx1x2(f)(a≤x1<x2≤b)
h(x2)−h(x1)=Vx1x2(f)−(f(x2)−f(x1))≥0
At x0=0.7: the plot shows f=0.4851, g=0.6776, h=0.1926 — both g and h climb as you move right, and their difference is exactly f.Show proof
First prove additivity of variation: for a≤x1<x2≤b, Vax2(f)=Vax1(f)+Vx1x2(f). The inequality ≤ goes as follows: given any partition P of [a,x2], if x1 is absent we may insert it, since the sum can only grow (∣f(v)−f(u)∣≤∣f(x1)−f(u)∣+∣f(v)−f(x1)∣). A partition containing x1 has its sum split into a sum over [a,x1] plus a sum over [x1,x2], each bounded by the variation on that interval; taking the supremum over P gives ≤.
The reverse ≥: concatenating a partition P1 of [a,x1] with a partition P2 of [x1,x2] gives a partition P1∪P2 of [a,x2] whose sum is the sum of the two sums. Taking suprema on each interval gives ≥. All suprema are finite since f is BV.
Now g(x)=Vax(f) is increasing: for x1<x2, additivity gives g(x2)=g(x1)+Vx1x2(f)≥g(x1) (variation is nonnegative). And h(x2)−h(x1)=(g(x2)−g(x1))−(f(x2)−f(x1))=Vx1x2(f)−(f(x2)−f(x1)); but Vx1x2(f)≥∣f(x2)−f(x1)∣≥f(x2)−f(x1) from the single partition {x1,x2}, so h(x2)−h(x1)≥0 — h is increasing too. The identity f=g−h is the definition of h.
Prove the converse: if g,h are increasing on [a,b] and f=g−h, then f is of bounded variation with Vab(f)≤(g(b)−g(a))+(h(b)−h(a)).
At x0=0.7: g climbs from 0 to 0.6776 and h from 0 to 0.1926 — their sum 0.8702 bounds the variation of f on [0,0.7], 0.6776, exactly as the inequality below says.Show proof
Take any partition a=x0<x1<⋯<xn=b of [a,b]. On each piece,
∣f(xi)−f(xi−1)∣=∣(g(xi)−g(xi−1))−(h(xi)−h(xi−1))∣≤∣g(xi)−g(xi−1)∣+∣h(xi)−h(xi−1)∣ (triangle inequality). Since g and h are increasing, each difference is nonnegative, so the absolute values drop away.
Summing over i=1,…,n, ∑i=1n∣f(xi)−f(xi−1)∣≤∑i=1n(g(xi)−g(xi−1))+∑i=1n(h(xi)−h(xi−1)), and the two sums telescope to (g(b)−g(a))+(h(b)−h(a)). This bound is partition-independent, so taking the supremum over all partitions gives Vab(f)≤(g(b)−g(a))+(h(b)−h(a))<∞ — f is of bounded variation.
Prove the Jordan decomposition is never unique: if f=g−h with g,h increasing, then for any increasing u, f=(g+u)−(h+u) is another one.
f=g−h=(g+u)−(h+u),uincreasing
At x0=0.7: adding the same increasing u (say u(x)=x) to both the g and h curves shifts them up in lockstep, leaving the difference f untouched — there are infinitely many decompositions.Show proof
A sum of increasing functions is increasing: if x1<x2 then g(x1)≤g(x2) and u(x1)≤u(x2), so (g+u)(x1)≤(g+u)(x2) — and the same for h+u.
Then (g+u)−(h+u)=g−h=f — the u cancels. Since there are infinitely many increasing functions u (e.g. u(x)=x, u(x)=x2, u(x)=2 constant), there are infinitely many Jordan decompositions. Uniqueness would need an extra normalization (e.g. g(a)=0).