Jordan Decomposition

Every BV function is a difference of two increasing functions — f=g−hf = g - h with g(x)=V0x(f)g(x) = V_0^x(f) the variation function. Drag the probe point over x2sin⁡1xx^2\sin\frac{1}{x} and watch the identity hold pointwise.

f=g−h,g(x)=Vax(f),  h=g−ff = g - h, \quad g(x) = V_a^x(f), \; h = g - f
f(x)=x2sin⁡1x (x>0),  f(0)=0f(x) = x^2\sin\frac{1}{x}\ (x > 0), \; f(0) = 0

Part of these learning paths

Examples & Exercises

Assume ff is of bounded variation on [a,b][a, b]. Prove that with g(x)=Vax(f)g(x) = V_a^x(f) and h(x)=g(x)−f(x)h(x) = g(x) - f(x), both gg and hh are increasing, so f=g−hf = g - h (one direction of the Jordan decomposition).

Vax2(f)=Vax1(f)+Vx1x2(f)(a≤x1<x2≤b)V_a^{x_2}(f) = V_a^{x_1}(f) + V_{x_1}^{x_2}(f) \qquad (a \le x_1 < x_2 \le b)
h(x2)−h(x1)=Vx1x2(f)−(f(x2)−f(x1))≥0h(x_2) - h(x_1) = V_{x_1}^{x_2}(f) - \bigl(f(x_2) - f(x_1)\bigr) \ge 0
At x0=0.7x_0 = 0.7: the plot shows f=0.4851f = 0.4851, g=0.6776g = 0.6776, h=0.1926h = 0.1926 — both gg and hh climb as you move right, and their difference is exactly ff.
Show proof
  1. First prove additivity of variation: for a≤x1<x2≤ba \le x_1 < x_2 \le b, Vax2(f)=Vax1(f)+Vx1x2(f)V_a^{x_2}(f) = V_a^{x_1}(f) + V_{x_1}^{x_2}(f). The inequality ≤\le goes as follows: given any partition PP of [a,x2][a, x_2], if x1x_1 is absent we may insert it, since the sum can only grow (∣f(v)−f(u)∣≤∣f(x1)−f(u)∣+∣f(v)−f(x1)∣\lvert f(v) - f(u)\rvert \le \lvert f(x_1) - f(u)\rvert + \lvert f(v) - f(x_1)\rvert). A partition containing x1x_1 has its sum split into a sum over [a,x1][a, x_1] plus a sum over [x1,x2][x_1, x_2], each bounded by the variation on that interval; taking the supremum over PP gives ≤\le.
  2. The reverse ≥\ge: concatenating a partition P1P_1 of [a,x1][a, x_1] with a partition P2P_2 of [x1,x2][x_1, x_2] gives a partition P1∪P2P_1 \cup P_2 of [a,x2][a, x_2] whose sum is the sum of the two sums. Taking suprema on each interval gives ≥\ge. All suprema are finite since ff is BV.
  3. Now g(x)=Vax(f)g(x) = V_a^x(f) is increasing: for x1<x2x_1 < x_2, additivity gives g(x2)=g(x1)+Vx1x2(f)≥g(x1)g(x_2) = g(x_1) + V_{x_1}^{x_2}(f) \ge g(x_1) (variation is nonnegative). And h(x2)−h(x1)=(g(x2)−g(x1))−(f(x2)−f(x1))=Vx1x2(f)−(f(x2)−f(x1))h(x_2) - h(x_1) = (g(x_2) - g(x_1)) - (f(x_2) - f(x_1)) = V_{x_1}^{x_2}(f) - (f(x_2) - f(x_1)); but Vx1x2(f)≥∣f(x2)−f(x1)∣≥f(x2)−f(x1)V_{x_1}^{x_2}(f) \ge \lvert f(x_2) - f(x_1)\rvert \ge f(x_2) - f(x_1) from the single partition {x1,x2}\{x_1, x_2\}, so h(x2)−h(x1)≥0h(x_2) - h(x_1) \ge 0 — hh is increasing too. The identity f=g−hf = g - h is the definition of hh.

Prove the converse: if g,hg, h are increasing on [a,b][a, b] and f=g−hf = g - h, then ff is of bounded variation with Vab(f)≤(g(b)−g(a))+(h(b)−h(a))V_a^b(f) \le (g(b) - g(a)) + (h(b) - h(a)).

∣f(xi)−f(xi−1)∣≤(g(xi)−g(xi−1))+(h(xi)−h(xi−1))\lvert f(x_i) - f(x_{i-1})\rvert \le (g(x_i) - g(x_{i-1})) + (h(x_i) - h(x_{i-1}))
Vab(f)≤(g(b)−g(a))+(h(b)−h(a))V_a^b(f) \le (g(b) - g(a)) + (h(b) - h(a))
At x0=0.7x_0 = 0.7: gg climbs from 00 to 0.67760.6776 and hh from 00 to 0.19260.1926 — their sum 0.87020.8702 bounds the variation of ff on [0,0.7][0, 0.7], 0.67760.6776, exactly as the inequality below says.
Show proof
  1. Take any partition a=x0<x1<⋯<xn=ba = x_0 < x_1 < \dots < x_n = b of [a,b][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)∣\lvert f(x_i) - f(x_{i-1})\rvert = \lvert (g(x_i) - g(x_{i-1})) - (h(x_i) - h(x_{i-1}))\rvert \le \lvert g(x_i) - g(x_{i-1})\rvert + \lvert h(x_i) - h(x_{i-1})\rvert (triangle inequality). Since gg and hh are increasing, each difference is nonnegative, so the absolute values drop away.
  2. Summing over i=1,…,ni = 1, \dots, n, ∑i=1n∣f(xi)−f(xi−1)∣≤∑i=1n(g(xi)−g(xi−1))+∑i=1n(h(xi)−h(xi−1))\sum_{i=1}^{n} \lvert f(x_i) - f(x_{i-1})\rvert \le \sum_{i=1}^{n}(g(x_i) - g(x_{i-1})) + \sum_{i=1}^{n}(h(x_i) - h(x_{i-1})), and the two sums telescope to (g(b)−g(a))+(h(b)−h(a))(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))<∞V_a^b(f) \le (g(b) - g(a)) + (h(b) - h(a)) < \infty — ff is of bounded variation.

Prove the Jordan decomposition is never unique: if f=g−hf = g - h with g,hg, h increasing, then for any increasing uu, f=(g+u)−(h+u)f = (g + u) - (h + u) is another one.

f=g−h=(g+u)−(h+u),u increasingf = g - h = (g + u) - (h + u), \qquad u\ \text{increasing}
At x0=0.7x_0 = 0.7: adding the same increasing uu (say u(x)=xu(x) = x) to both the gg and hh curves shifts them up in lockstep, leaving the difference ff untouched — there are infinitely many decompositions.
Show proof
  1. A sum of increasing functions is increasing: if x1<x2x_1 < x_2 then g(x1)≤g(x2)g(x_1) \le g(x_2) and u(x1)≤u(x2)u(x_1) \le u(x_2), so (g+u)(x1)≤(g+u)(x2)(g+u)(x_1) \le (g+u)(x_2) — and the same for h+uh + u.
  2. Then (g+u)−(h+u)=g−h=f(g + u) - (h + u) = g - h = f — the uu cancels. Since there are infinitely many increasing functions uu (e.g. u(x)=xu(x) = x, u(x)=x2u(x) = x^2, u(x)=2u(x) = 2 constant), there are infinitely many Jordan decompositions. Uniqueness would need an extra normalization (e.g. g(a)=0g(a) = 0).

10. Integration