In Improper Integrals you learned to define ∫a∞f as a limit of proper integrals and to classify it as convergent or divergent. For many functions, computing the limit directly is hard or impossible. What you need are tests — criteria that let you decide convergence without evaluating the limit explicitly, much as you use comparison tests for infinite series rather than summing them term by term. This checkpoint develops those tests, organized from the simplest (comparison) to the subtlest (Abel–Dirichlet for oscillatory integrands).
The Cauchy convergence criterion
The foundational criterion is the direct analogue of the Cauchy criterion for sequences.
Theorem (Cauchy criterion). The improper integral ∫a∞f(x)dx converges if and only if for every ε>0 there exists A≥a such that for all B>A,
∫ABf(x)dx<ε.
Proof sketch. Define F(t)=∫atf(x)dx. The integral converges iff limt→∞F(t) exists, iff F satisfies the Cauchy condition for convergence of limits: ∣F(B)−F(A)∣<ε for large A,B. But F(B)−F(A)=∫ABf, so this is exactly the stated condition. □
The Cauchy criterion is particularly useful for oscillatory integrals, where you need to show a tail is small without knowing the limiting value.
The comparison test
When f is non-negative, monotonicity of the integral makes a direct comparison available.
Theorem (comparison test). Let 0≤f(x)≤g(x) for all x≥a.
If ∫a∞g(x)dx converges, then ∫a∞f(x)dx converges and ∫a∞f≤∫a∞g.
If ∫a∞f(x)dx diverges, then ∫a∞g(x)dx diverges.
Proof. Since f≥0, the function F(t)=∫atf is increasing. If ∫g converges, then F(t)≤∫atg≤∫a∞g<∞ for all t. An increasing bounded function has a finite limit, so ∫f converges. The divergence direction follows by contrapositive. □
Example. For x≥1 the inequality e−x2≤e−x holds (since x2≥x). Because ∫1∞e−xdx=e−1 converges, the comparison test gives ∫1∞e−x2dx<∞.
The limit comparison test
Sometimes you cannot bound f directly by a simpler function, but you can compare their asymptotic sizes.
Theorem (limit comparison test). Let f(x),g(x)>0 for x≥a and suppose
x→∞limg(x)f(x)=L,0<L<∞.
Then ∫a∞f converges if and only if ∫a∞g converges.
Proof. Since f/g→L, there exists A such that for x≥A,
2L≤g(x)f(x)≤2L,
that is, 2Lg(x)≤f(x)≤2Lg(x). The ordinary comparison test applied on [A,∞) then gives the equivalence. □
Example. Compare f(x)=x2+11 with g(x)=x−2. Then f(x)/g(x)=x2/(x2+1)→1. Since ∫1∞x−2dx converges (the p-integral with p=2>1), the integral ∫1∞x2+1dx also converges.
Boundary case L=0 or L=∞. If L=0, then f=o(g): convergence of ∫g implies convergence of ∫f, but the converse need not hold. If L=∞, the roles reverse.
Absolute versus conditional convergence
Definition. The integral ∫a∞f(x)dx is absolutely convergent if ∫a∞∣f(x)∣dx converges. It is conditionally convergent if ∫a∞f converges but ∫a∞∣f∣ diverges.
Proof. By the Cauchy criterion and the triangle inequality:
∫ABf≤∫AB∣f∣.
If ∫∣f∣ converges, then ∫AB∣f∣ can be made arbitrarily small for large A, and the same bound applies to ∣∫ABf∣. □
The converse fails. The integral ∫1∞xsinxdx is conditionally convergent: it converges (shown below) but ∫1∞x∣sinx∣dx=∞ (shown at the end of this checkpoint).
The Abel–Dirichlet tests
For oscillatory integrals where absolute convergence fails, two tests handle the most common situations. Both are continuous analogues of the corresponding tests for series.
Dirichlet’s test
Theorem (Dirichlet’s test). Suppose:
F(x):=∫axf(t)dt is bounded: there exists M such that ∣F(x)∣≤M for all x≥a.
Now ∫Aξf=F(ξ)−F(A), so ∣∫Aξf∣≤2M, and similarly ∣∫ξBf∣≤2M. Therefore
∫ABf(x)g(x)dx≤2Mg(A)+2Mg(B)≤4Mg(A).
Since g(A)→0 as A→∞, the Cauchy criterion is satisfied. □
Abel’s test
Theorem (Abel’s test). Suppose:
∫a∞f(x)dxconverges.
g is monotone and bounded on [a,∞).
Then ∫a∞f(x)g(x)dx converges.
Proof. Since g is monotone and bounded, it has a finite limit L=limx→∞g(x). Write g=(g−L)+L. The function g−L is monotone tending to 0, and L is a constant. Therefore
∫a∞fg=L∫a∞f+∫a∞f(g−L).
The first integral converges by hypothesis. The second converges by Dirichlet’s test applied to f and g−L (whose antiderivative F(x)=∫axf is bounded because ∫a∞f converges, by the Cauchy criterion). □
Worked examples
∫1∞xsinxdx converges (Dirichlet)
Set f(x)=sinx and g(x)=1/x. The antiderivative F(x)=−cosx+cos1 satisfies ∣F(x)∣≤2 for all x, and g(x)=1/x↘0. By Dirichlet’s test, ∫1∞xsinxdx converges.
∫1∞x2sinxdx converges absolutely
For all x, x2sinx≤x21. Since ∫1∞x−2dx converges (p=2>1), the comparison test gives absolute convergence.
∫1∞xdx diverges
This is the p=1 case of the Type 1 p-integral from Improper Integrals. Since lnb→∞, the integral diverges.
∫1∞x∣sinx∣dx diverges
On each interval [kπ,(k+1)π], ∣sinx∣≥0 and ∫kπ(k+1)π∣sinx∣dx=2. Since x1≥(k+1)π1 on this interval,
∫kπ(k+1)πx∣sinx∣dx≥(k+1)π2.
The right side is the general term of a divergent series (∑1/(k+1) diverges), so by the comparison test the integral diverges. This confirms that ∫1∞xsinxdx is conditionally but not absolutely convergent.
Summary
Cauchy criterion: ∫a∞f converges iff ∣∫ABf∣ can be made arbitrarily small for all B>A sufficiently large.
Comparison test: for 0≤f≤g, convergence of ∫g implies convergence of ∫f; divergence of ∫f implies divergence of ∫g.
Limit comparison test: if f,g>0 and f/g→L∈(0,∞), then ∫f and ∫g converge or diverge together.
Absolute convergence (∫∣f∣<∞) implies convergence; the converse fails.
Dirichlet’s test: bounded F(x)=∫axf plus g↘0 guarantees ∫fg converges.
Abel’s test: convergent ∫f plus monotone bounded g guarantees ∫fg converges.
∫1∞xsinxdx converges conditionally (Dirichlet); ∫1∞x2sinxdx converges absolutely (comparison); ∫1∞xdx and ∫1∞x∣sinx∣dx both diverge.