Cancellation and Absolute Tails Measure Different Things
A signed integral records the net balance of positive and negative contributions. A complex integral likewise allows contributions with different phases to cancel. Uniform integrability asks a different question: whether the total absolute mass on regions where the function is large becomes uniformly small. Thus, an integral equal to zero does not by itself show that a family has small tails—or even that its absolute integrals are bounded.
Throughout the examples, the measure space is \(([0,1],\mathcal{L}_{[0,1]},m)\), where \(\mathcal{L}_{[0,1]}\) is the Lebesgue sigma-algebra on \([0,1]\). This is a complete finite measure space, with \(m([0,1])=1\). The functions in the first examples are real-valued; the complex example is explicitly identified. All integrals are Lebesgue integrals, and statements about pointwise convergence specify whether they hold everywhere.
The cancellation inequality goes in only one direction: for any integrable real- or complex-valued \(f\) on \((X,\mathcal{M},\mu)\), \(\left|\int_X f\,d\mu\right|\leq\int_X|f|\,d\mu\). Small absolute integral therefore forces a small signed or complex integral, but a small signed or complex integral need not force a small absolute integral. The examples below make the gap exact.
Equal Positive and Negative Spikes
Worked Example: Zero Integral with a Fixed Absolute Tail
For each integer \(n\geq1\), define a real-valued function on \([0,1]\) by $$ f_n(x)= \begin{cases} n,&0<x<\dfrac{1}{2n},\\ -n,&\dfrac{1}{2n}<x<\dfrac{1}{n},\\ 0,&\text{otherwise}. \end{cases} $$ Each \(f_n\) is measurable and integrable. The two nonzero intervals are disjoint and each has measure \(1/(2n)\). Their endpoints are assigned value zero, which does not change any integral.
Compute the signed integral by treating the two intervals separately: $$ \int_{[0,1]} f_n\,dm =n\cdot\frac{1}{2n}+(-n)\cdot\frac{1}{2n} =\frac12-\frac12=0. $$ In contrast, the absolute integral adds the two contributions: $$ \int_{[0,1]}|f_n|\,dm =n\cdot\frac{1}{2n}+n\cdot\frac{1}{2n} =\frac12+\frac12=1. $$
Fix a threshold \(K\geq0\). If \(n\leq K\), no point satisfies \(|f_n|>K\), so the tail integral is zero. If \(n>K\), both nonzero intervals satisfy \(|f_n|=n>K\), and $$ \int_{\{|f_n|>K\}}|f_n|\,dm=1. $$ For every fixed \(K\), there is an integer \(n>K\). Consequently $$ \sup_{n\geq1}\int_{\{|f_n|>K\}}|f_n|\,dm=1, $$ so the family \(\{f_n:n\geq1\}\) is not uniformly integrable.
Check: adding the two signed contributions gives \(1/2-1/2=0\); adding the two absolute contributions gives \(1/2+1/2=1\). For the strict tail condition, \(n=K\) contributes nothing when \(K\) is an integer, but any integer \(n>K\) contributes the full value \(1\), as required.
This example also has convergence properties that do not repair the failure. For every \(x\in[0,1]\), \(f_n(x)\to0\): at \(x=0\) every value is zero, and for \(x>0\), once \(n>1/x\), the support \((0,1/n)\) lies below \(x\). The measure of the set where \(f_n\ne0\) is \(1/n\); hence, for every \(\varepsilon>0\), \(m(\{|f_n|>\varepsilon\})\leq1/n\to0\). Thus \(f_n\to0\) everywhere and in measure, while the absolute tails still fail the uniform-integrability test.
An Exact Tail Formula for Balanced Spikes
Proof. On \(A_n\), \(g_n=a_n\); on \(B_n\), \(g_n=-a_n\); and outside \(A_n\cup B_n\), \(g_n=0\). Thus \(|g_n|=a_n\) on \(A_n\cup B_n\) and is zero elsewhere. If \(a_n\leq K\), the strict inequality \(|g_n|>K\) holds nowhere. If \(a_n>K\), the tail set is \(A_n\cup B_n\). Since these sets are disjoint and each has measure \(\delta_n\), the tail integral is \(a_n(m(A_n)+m(B_n))=2a_n\delta_n\). Taking the supremum over \(n\) gives the displayed expression, and its limit is precisely the tail-integral definition of uniform integrability for this family. The formula includes \(\delta_n=0\), when both sets have measure zero and the tail integral is zero. \(\square\)
Worked Example: Larger Amplitudes Hide Unbounded Absolute Mass
Use \(A_n=(0,1/(2n))\), \(B_n=(1/(2n),1/n)\), and \(a_n=n^2\) in the proposition. These sets are disjoint, each has measure \(\delta_n=1/(2n)\), and they lie in \([0,1]\). The real-valued function \(g_n=n^2\chi_{A_n}-n^2\chi_{B_n}\) is measurable and integrable for each \(n\).
The two signed contributions are $$ \int_{A_n}g_n\,dm=n^2\cdot\frac{1}{2n}=\frac n2, \qquad \int_{B_n}g_n\,dm=-n^2\cdot\frac{1}{2n}=-\frac n2. $$ Therefore \(\int_{[0,1]}g_n\,dm=n/2-n/2=0\). But the absolute integral is $$ \int_{[0,1]}|g_n|\,dm =n^2\cdot\frac{1}{2n}+n^2\cdot\frac{1}{2n} =\frac n2+\frac n2=n. $$
For a fixed \(K\geq0\), whenever \(n^2>K\), the strict tail \(\{|g_n|>K\}\) contains both intervals, and its absolute integral is \(n\). There are integers \(n\) with \(n^2>K\) and arbitrarily large \(n\), so the supremum of the tail integrals is infinite for every fixed \(K\). In particular it does not tend to zero; the family is not uniformly integrable. The support has measure \(m(A_n\cup B_n)=1/n\), which tends to zero, but the absolute mass on that support is \(n\).
Check: substituting \(a_n=n^2\) and \(\delta_n=1/(2n)\) in the proposition gives \(2a_n\delta_n=2n^2/(2n)=n\), matching the direct absolute-integral calculation. The signed integral remains zero because the two contributions are \(n/2\) and \(-n/2\).
Complex Cancellation Works the Same Way
Worked Example: Three Complex Phases Cancel
Let \(\omega=-\tfrac12+i\tfrac{\sqrt3}{2}\). Its square is \(\omega^2=-\tfrac12-i\tfrac{\sqrt3}{2}\), so \(1+\omega+\omega^2=1-\tfrac12-\tfrac12+i(\tfrac{\sqrt3}{2}-\tfrac{\sqrt3}{2})=0\). Also \(|1|=|\omega|=|\omega^2|=1\). Partition \((0,1/n)\) into three consecutive open intervals \(I_{n,1},I_{n,2},I_{n,3}\), each of length \(1/(3n)\), and define the complex-valued measurable function $$ h_n=n\chi_{I_{n,1}}+n\omega\chi_{I_{n,2}}+n\omega^2\chi_{I_{n,3}}, $$ with value zero elsewhere in \([0,1]\).
Integrating each constant value over its interval gives $$ \int_{[0,1]}h_n\,dm =n\cdot\frac{1}{3n} +n\omega\cdot\frac{1}{3n} +n\omega^2\cdot\frac{1}{3n} =\frac{1+\omega+\omega^2}{3}=0. $$ The modulus on each interval is \(n\), since each phase has modulus one. Thus $$ \int_{[0,1]}|h_n|\,dm =n\cdot\frac{1}{3n}+n\cdot\frac{1}{3n}+n\cdot\frac{1}{3n}=1. $$ For \(K\geq0\), the strict tail integral is \(1\) if \(n>K\), and zero if \(n\leq K\). As in the real example, its supremum over \(n\) is \(1\) for every \(K\), so the family is not uniformly integrable.
Check: the three interval lengths sum to \(3/(3n)=1/n\), and multiplying by the common modulus \(n\) gives absolute mass \(1\). The complex phases cancel in the integral, but not in the modulus.
What Cancellation Can and Cannot Establish
The essential distinction is between the integral of a function and the integral of its absolute value. For each \(n\), the equation \(\int f_n\,dm=0\) gives no upper bound on \(\int|f_n|\,dm\): the fixed-mass example has absolute integral \(1\), while the larger-amplitude example has absolute integral \(n\). More importantly for uniform integrability, even a fixed absolute integral is not enough. Its mass must move out of the strict tails uniformly as \(K\) increases, and the first and complex examples show that this need not happen.
A common mistake is to calculate the signed tail and treat it as the tail quantity in the definition. For the first example, when \(n>K\), the incorrect calculation is $$ \int_{\{|f_n|>K\}}f_n\,dm =\frac12-\frac12=0, $$ followed by the false conclusion that the tail is zero. The definition instead requires $$ \int_{\{|f_n|>K\}}|f_n|\,dm =\frac12+\frac12=1. $$ The same correction applies to complex-valued functions: tail control concerns \(|f|\), not the real or complex number \(\int_{\{|f|>K\}}f\,dm\).
There is a useful contrast for nonnegative functions. On any measure space \((X,\mathcal{M},\mu)\), if a measurable function \(u:X\to[0,\infty]\) has \(\int_Xu\,d\mu=0\), then \(u=0\) \(\mu\)-almost everywhere. This statement relies on nonnegativity, which prevents cancellation.
Proof. For each integer \(k\geq1\), the measurable set \(E_k=\{x:u(x)>1/k\}\) satisfies \((1/k)\chi_{E_k}\leq u\). Monotonicity of the nonnegative Lebesgue integral therefore gives \((1/k)\mu(E_k)\leq\int_Xu\,d\mu=0\), so \(\mu(E_k)=0\). Since \(u\geq0\), the set \(\{u>0\}\) equals \(\bigcup_{k\geq1}E_k\): if \(u(x)>0\), some integer \(k\) has \(1/k<u(x)\), and membership in any \(E_k\) implies \(u(x)>0\). Countable subadditivity gives \(\mu(\{u>0\})=0\), which is exactly \(u=0\) \(\mu\)-almost everywhere. \(\square\)
For signed and complex-valued functions, that argument cannot be applied to the function itself: positive and negative values, or different complex phases, can cancel. When the question is uniform integrability, use the absolute-value tail from the definition and compute it directly.
Check Your Understanding
For each question, distinguish the signed or complex integral from the absolute tail integral.
- For the sequence \(f_n\) in the first example, compute \(\int_{\{|f_n|>K\}}f_n\,dm\) and \(\int_{\{|f_n|>K\}}|f_n|\,dm\) when \(n>K\). Why do the two answers differ?
- Suppose balanced spikes have amplitude \(a_n\) and equal lobe measures \(\delta_n\). Write the exact tail integral at a fixed threshold \(K\), including the case \(a_n=K\).
- For the complex sequence \(h_n\), verify separately that the three phases sum to zero and that each has modulus one. Which calculation determines its uniform-integrability tail?
- Can a sequence converge everywhere to zero and in measure while failing to be uniformly integrable? Identify the sequence above and give its tail-integral supremum.
- Why does the conclusion that zero integral forces a function to vanish almost everywhere require nonnegativity in the proved contrast?