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Complex Measures and Duality · Tutorial 499 of 798

Computing Variation for Atomic and Density Measures

Learn to calculate variation by isolating atoms or partitioning according to a complex density, and identify exactly where cancellation changes the answer.

Advanced 9 min read

What You'll Learn

  • Apply the partition definition of total variation to finite and countable atomic measures.
  • Combine coefficients correctly when atoms occur at the same point.
  • Prove the variation formula for an integrable complex density.
  • Calculate examples where the total mass cancels but the variation remains positive.
  • Distinguish the absolute value of a measure on a set from its variation on that set.
  • Check variation calculations using upper bounds and explicit measurable partitions.

Variation Counts Mass Before Cancellation

A complex measure can assign values in different directions in the complex plane. When those values are added, they may cancel; total variation instead records the largest total magnitude visible across measurable pieces. For atomic measures, the pieces can isolate the atoms. For a measure given by a complex density, sufficiently fine partitions can separate regions where the density points in different directions.

Throughout, \((X,\mathcal{M},\mu)\) is a measure space when a reference measure is needed. A complex measure \(\nu\) here is countably additive on \(\mathcal{M}\) and has finite total variation. For \(E\in\mathcal{M}\), a finite measurable partition of \(E\) is a finite collection of pairwise disjoint measurable sets whose union is \(E\); empty pieces may be omitted.

Definition: The total variation of a complex measure \(\nu\) on a measurable set \(E\) is $$ |\nu|(E)=\sup\left\{\sum_{j=1}^{r}|\nu(E_j)|:\ E=\bigcup_{j=1}^{r}E_j,\ E_j\in\mathcal{M}\text{ pairwise disjoint},\ r<\infty\right\}. $$ The absolute value \(|\nu(E)|\) measures the result after adding over \(E\); \(|\nu|(E)\) takes the supremum over finite measurable partitions before adding magnitudes. In particular, \(|\nu(E)|\leq|\nu|(E)\).

The formulas in this tutorial compute this supremum for two useful forms of finite complex measures. In each case, the key is to identify partitions that either isolate contributions or group together contributions with nearly the same complex direction.

Atomic Measures: Isolate Each Point

Theorem: Suppose \(x_1,x_2,\ldots\) are distinct points of a measurable space \((X,\mathcal{M})\), each singleton \(\{x_k\}\) belongs to \(\mathcal{M}\), and the complex coefficients satisfy \(\sum_{k=1}^{\infty}|a_k|<\infty\). Define $$ \nu(E)=\sum_{\{k:\,x_k\in E\}}a_k,\qquad E\in\mathcal{M}. $$ Then \(\nu\) is a finite complex measure and, for every \(E\in\mathcal{M}\), $$ |\nu|(E)=\sum_{\{k:\,x_k\in E\}}|a_k|. $$ For finitely many atoms, the same formula holds with finite sums.

Proof. Absolute summability ensures that the series defining \(\nu(E)\) converges absolutely for every \(E\), with \(|\nu(E)|\leq\sum_k|a_k|<\infty\). If \(E_1,E_2,\ldots\) are pairwise disjoint measurable sets, each point \(x_k\) belongs to at most one of them. Thus the sum over atoms in \(\bigcup_jE_j\) is the sum of the corresponding sums over the \(E_j\). Absolute convergence permits grouping these terms, proving countable additivity.

Let \(E=\bigcup_{j=1}^r E_j\) be any finite measurable partition. The triangle inequality gives $$ \sum_{j=1}^r|\nu(E_j)| \leq\sum_{j=1}^r\sum_{\{k:\,x_k\in E_j\}}|a_k| =\sum_{\{k:\,x_k\in E\}}|a_k|. $$ Taking the supremum over partitions proves the upper bound for \(|\nu|(E)\). For the reverse bound, fix \(N\) and partition \(E\) into the singletons \(\{x_k\}\) for \(k\leq N\) with \(x_k\in E\), together with the measurable remainder after removing those finitely many singletons. The partition sum is at least \(\sum_{k\leq N,\,x_k\in E}|a_k|\), since the remainder contributes a nonnegative magnitude. Letting \(N\to\infty\) gives the lower bound. The two bounds establish the formula. The same argument with all atoms isolated proves the finite case. \(\square\)

Worked Example: Three Atoms with Complex Weights

Let \(X=\{a,b,c\}\) with \(\mathcal{M}\) the set of all subsets, and define \(\nu(\{a\})=3\), \(\nu(\{b\})=-4i\), and \(\nu(\{c\})=1+i\). For a set \(E\), its variation is the sum of the absolute values of the weights at its points. In particular, $$ |\nu|(X)=|3|+|-4i|+|1+i|=3+4+\sqrt{1^2+1^2}=7+\sqrt{2}. $$ But the total mass is \(\nu(X)=3-4i+(1+i)=4-3i\), so \(|\nu(X)|=\sqrt{4^2+(-3)^2}=5\). The partition into the three singleton sets has sum \(3+4+\sqrt{2}\), and the theorem gives the matching upper bound. Check: \(7+\sqrt{2}>5\), as expected because the total mass can cancel across different atoms.

If several listed contributions are located at the same point, they must first be combined: a measurable partition cannot separate contributions at one point. The resulting coefficient at that point, not the sum of the separate absolute values, is what enters the atomic formula.

Worked Example: A Countable Alternating Atomic Measure

On \(X=\mathbb{N}=\{1,2,\ldots\}\) with every subset measurable, define \(\nu(\{n\})=a_n=(-1)^{n+1}2^{-n}\). First, $$ \sum_{n=1}^{\infty}|a_n|=\sum_{n=1}^{\infty}2^{-n} =\frac{1/2}{1-1/2}=1, $$ so the coefficients are absolutely summable and define a finite complex measure. The atomic formula gives \(|\nu|(\mathbb{N})=1\). The total mass, in contrast, is $$ \nu(\mathbb{N})=\sum_{n=1}^{\infty}(-1)^{n+1}2^{-n} =\frac{1/2}{1-(-1/2)}=\frac13. $$ Here the geometric-series formula applies because the ratio \(-1/2\) has absolute value less than \(1\). Check: the first three absolute weights sum to \(1/2+1/4+1/8=7/8\), and the remaining absolute weights sum to \(1/8\), giving total variation \(1\). The first three signed weights sum to \(1/2-1/4+1/8=3/8\), with signed tail \(-1/24\), giving \(1/3\).

Complex Densities: Partition by Direction

Theorem: Let \((X,\mathcal{M},\mu)\) be a measure space, and let \(h:X\to\mathbb{C}\) be measurable with \(\int_X|h|\,d\mu<\infty\). Define the finite complex measure \(\nu(E)=\int_E h\,d\mu\) for \(E\in\mathcal{M}\). Then, for every \(E\in\mathcal{M}\), $$ |\nu|(E)=\int_E|h|\,d\mu. $$ These equalities hold for every measurable set \(E\); the density \(h\) is specified up to \(\mu\)-almost-everywhere equality.

Proof. For any finite measurable partition \(E=\bigcup_{j=1}^r E_j\), the triangle inequality for the Lebesgue integral gives $$ \sum_{j=1}^r|\nu(E_j)| =\sum_{j=1}^r\left|\int_{E_j}h\,d\mu\right| \leq\sum_{j=1}^r\int_{E_j}|h|\,d\mu =\int_E|h|\,d\mu. $$ Thus the supremum defining \(|\nu|(E)\) is at most the proposed answer.

For the other bound, choose \(0<\delta<\pi/2\) and divide the unit circle into finitely many measurable arcs, each of angular width at most \(2\delta\). For each arc choose its central unit complex number \(u_j\). Partition \(E\cap\{h\ne0\}\) according to the arc containing \(h(x)/|h(x)|\); these are measurable sets because \(h\) is measurable. Include \(E\cap\{h=0\}\) as one more piece. On the piece \(E_j\) corresponding to \(u_j\), the angle between \(h(x)\) and \(u_j\) is at most \(\delta\). Therefore $$ \operatorname{Re}(\overline{u_j}h(x))\geq \cos(\delta)|h(x)|. $$ Integrating and using \(|z|\geq\operatorname{Re}(\overline{u_j}z)\) for every complex number \(z\), we obtain $$ \left|\int_{E_j}h\,d\mu\right| \geq\operatorname{Re}\left(\overline{u_j}\int_{E_j}h\,d\mu\right) =\int_{E_j}\operatorname{Re}(\overline{u_j}h)\,d\mu \geq\cos(\delta)\int_{E_j}|h|\,d\mu. $$ The zero-density piece contributes zero to both sides. Summing the inequalities shows that this finite partition has sum of magnitudes at least \(\cos(\delta)\int_E|h|\,d\mu\). Consequently \(|\nu|(E)\geq\cos(\delta)\int_E|h|\,d\mu\) for every such \(\delta\). Letting \(\delta\downarrow0\), so that \(\cos(\delta)\to1\), gives the lower bound. Together the bounds prove the formula. \(\square\)

Worked Example: A Piecewise Constant Density That Cancels

Take \(X=[0,1]\), \(\mathcal{M}\) the Lebesgue sigma-algebra, and \(\mu=m\), Lebesgue measure. Set \(h(x)=2i\) for \(x\in[0,1/2]\) and \(h(x)=-2i\) for \(x\in(1/2,1]\), and define \(\nu(E)=\int_E h\,dm\). The density is measurable and integrable, since $$ \int_0^1|h|\,dm=2\cdot\frac12+2\cdot\frac12=2. $$ Hence \(|\nu|([0,1])=2\). However, $$ \nu([0,1])=2i\cdot\frac12+(-2i)\cdot\frac12=i-i=0. $$ The partition into the two half-intervals gives magnitudes \(|i|+|-i|=2\), verifying the variation directly; the density theorem supplies the matching upper bound. Check: the partition sum \(2\) agrees with the integral of \(|h|\), while the magnitude of the total mass is \(0\).

A Common Mistake: Taking the Magnitude Too Soon

A tempting but incorrect shortcut is to compute the total mass first and declare its absolute value to be the variation. For the three-atom example, that calculation would report \(|\nu|(X)=|\nu(X)|=5\). It is wrong: the partition into singletons has sum \(3+4+\sqrt{2}=7+\sqrt{2}\), which is greater than \(5\); the atomic formula proves that \(7+\sqrt{2}\) is the actual variation. The corresponding density mistake would report zero variation for the piecewise constant example because its total mass is zero, even though its two-piece partition has sum \(2\).

The underlying distinction is whether cancellation is allowed before or after taking magnitudes. The expression \(|\nu(E)|\) adds all contributions in \(E\) first. The variation \(|\nu|(E)\) allows a finite measurable partition to reduce cancellation, then takes the supremum. The formulas proved above show how the best possible result is attained, or approached, by separating atoms or sorting density values by direction.

Measure formVariation on \(E\)Source of cancellation
Distinct atoms with weights \(a_k\)\(\sum_{x_k\in E}|a_k|\)Different atomic weights add in \(\nu(E)\)
Density \(h\in L^1(\mu)\)\(\int_E|h|\,d\mu\)Different complex directions in \(h\) average in \(\nu(E)\)

Check Your Understanding

For each question, distinguish the total mass on a set from the variation on that set.

  1. For atoms with weights \(2\), \(-2\), and \(i\) at three distinct measurable points, compute the variation of the whole space and the magnitude of its total mass.
  2. Why must weights assigned to the same point be combined before applying the atomic variation formula?
  3. For \(a_n=(-1)^{n+1}3^{-n}\) on \(\mathbb{N}\), compute the total variation and the total mass.
  4. If \(h\) is integrable and complex-valued, which inequality gives the upper bound \(|\nu|(E)\leq\int_E|h|\,d\mu\)?
  5. For the density equal to \(i\) on \([0,1/2]\) and \(-i\) on \((1/2,1]\), calculate \(\nu([0,1])\) and \(|\nu|([0,1])\).