Convergence of Improper Integrals

Basis
Last updated: Tags: Calculus, Integration, Improper Integrals

In Improper Integrals you learned to define ∫a∞f\int_a^\infty 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\int_a^\infty f(x)\,dx converges if and only if for every ε>0\varepsilon > 0 there exists A≥aA \ge a such that for all B>AB > A,

∣∫ABf(x) dx∣<ε.\left|\int_A^B f(x)\,dx\right| < \varepsilon.

Proof sketch. Define F(t)=∫atf(x) dxF(t) = \int_a^t f(x)\,dx. The integral converges iff lim⁡t→∞F(t)\lim_{t \to \infty} F(t) exists, iff FF satisfies the Cauchy condition for convergence of limits: ∣F(B)−F(A)∣<ε|F(B) - F(A)| < \varepsilon for large A,BA, B. But F(B)−F(A)=∫ABfF(B) - F(A) = \int_A^B f, so this is exactly the stated condition. □\square

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 ff is non-negative, monotonicity of the integral makes a direct comparison available.

Theorem (comparison test). Let 0≤f(x)≤g(x)0 \le f(x) \le g(x) for all x≥ax \ge a.

  • If ∫a∞g(x) dx\int_a^\infty g(x)\,dx converges, then ∫a∞f(x) dx\int_a^\infty f(x)\,dx converges and ∫a∞f≤∫a∞g\int_a^\infty f \le \int_a^\infty g.
  • If ∫a∞f(x) dx\int_a^\infty f(x)\,dx diverges, then ∫a∞g(x) dx\int_a^\infty g(x)\,dx diverges.

Proof. Since f≥0f \ge 0, the function F(t)=∫atfF(t) = \int_a^t f is increasing. If ∫g\int g converges, then F(t)≤∫atg≤∫a∞g<∞F(t) \le \int_a^t g \le \int_a^\infty g < \infty for all tt. An increasing bounded function has a finite limit, so ∫f\int f converges. The divergence direction follows by contrapositive. □\square

Example. For x≥1x \ge 1 the inequality e−x2≤e−xe^{-x^2} \le e^{-x} holds (since x2≥xx^2 \ge x). Because ∫1∞e−x dx=e−1\int_1^\infty e^{-x}\,dx = e^{-1} converges, the comparison test gives ∫1∞e−x2 dx<∞\int_1^\infty e^{-x^2}\,dx < \infty.

The limit comparison test

Sometimes you cannot bound ff directly by a simpler function, but you can compare their asymptotic sizes.

Theorem (limit comparison test). Let f(x),g(x)>0f(x), g(x) > 0 for x≥ax \ge a and suppose

lim⁡x→∞f(x)g(x)=L,0<L<∞.\lim_{x \to \infty} \frac{f(x)}{g(x)} = L, \quad 0 < L < \infty.

Then ∫a∞f\int_a^\infty f converges if and only if ∫a∞g\int_a^\infty g converges.

Proof. Since f/g→Lf/g \to L, there exists AA such that for x≥Ax \ge A,

L2≤f(x)g(x)≤2L,\frac{L}{2} \le \frac{f(x)}{g(x)} \le 2L,

that is, L2 g(x)≤f(x)≤2L g(x)\frac{L}{2}\,g(x) \le f(x) \le 2L\,g(x). The ordinary comparison test applied on [A,∞)[A, \infty) then gives the equivalence. □\square

Example. Compare f(x)=1x2+1f(x) = \frac{1}{x^2 + 1} with g(x)=x−2g(x) = x^{-2}. Then f(x)/g(x)=x2/(x2+1)→1f(x)/g(x) = x^2/(x^2+1) \to 1. Since ∫1∞x−2 dx\int_1^\infty x^{-2}\,dx converges (the pp-integral with p=2>1p = 2 > 1), the integral ∫1∞dxx2+1\int_1^\infty \frac{dx}{x^2+1} also converges.

Boundary case L=0L = 0 or L=∞L = \infty. If L=0L = 0, then f=o(g)f = o(g): convergence of ∫g\int g implies convergence of ∫f\int f, but the converse need not hold. If L=∞L = \infty, the roles reverse.

Absolute versus conditional convergence

Definition. The integral ∫a∞f(x) dx\int_a^\infty f(x)\,dx is absolutely convergent if ∫a∞∣f(x)∣ dx\int_a^\infty |f(x)|\,dx converges. It is conditionally convergent if ∫a∞f\int_a^\infty f converges but ∫a∞∣f∣\int_a^\infty |f| diverges.

Proposition. Absolute convergence implies convergence.

Proof. By the Cauchy criterion and the triangle inequality:

∣∫ABf∣≤∫AB∣f∣.\left|\int_A^B f\right| \le \int_A^B |f|.

If ∫∣f∣\int |f| converges, then ∫AB∣f∣\int_A^B |f| can be made arbitrarily small for large AA, and the same bound applies to ∣∫ABf∣|\int_A^B f|. □\square

The converse fails. The integral ∫1∞sin⁡xx dx\int_1^\infty \frac{\sin x}{x}\,dx is conditionally convergent: it converges (shown below) but ∫1∞∣sin⁡x∣x dx=∞\int_1^\infty \frac{|\sin x|}{x}\,dx = \infty (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:

  1. F(x)≔∫axf(t) dtF(x) \coloneqq \int_a^x f(t)\,dt is bounded: there exists MM such that ∣F(x)∣≤M|F(x)| \le M for all x≥ax \ge a.
  2. gg is monotone decreasing to 00: g(x)→0g(x) \to 0 as x→∞x \to \infty.

Then ∫a∞f(x) g(x) dx\int_a^\infty f(x)\,g(x)\,dx converges.

Proof. Apply Bonnet’s theorem (the second mean value theorem) on [A,B][A, B]: there exists ξ∈[A,B]\xi \in [A, B] with

∫ABf(x) g(x) dx=g(A)∫Aξf(x) dx+g(B)∫ξBf(x) dx.\int_A^B f(x)\,g(x)\,dx = g(A)\int_A^\xi f(x)\,dx + g(B)\int_\xi^B f(x)\,dx.

Now ∫Aξf=F(ξ)−F(A)\int_A^\xi f = F(\xi) - F(A), so ∣∫Aξf∣≤2M|\int_A^\xi f| \le 2M, and similarly ∣∫ξBf∣≤2M|\int_\xi^B f| \le 2M. Therefore

∣∫ABf(x) g(x) dx∣≤2M g(A)+2M g(B)≤4M g(A).\left|\int_A^B f(x)\,g(x)\,dx\right| \le 2M\,g(A) + 2M\,g(B) \le 4M\,g(A).

Since g(A)→0g(A) \to 0 as A→∞A \to \infty, the Cauchy criterion is satisfied. □\square

Abel’s test

Theorem (Abel’s test). Suppose:

  1. ∫a∞f(x) dx\int_a^\infty f(x)\,dx converges.
  2. gg is monotone and bounded on [a,∞)[a, \infty).

Then ∫a∞f(x) g(x) dx\int_a^\infty f(x)\,g(x)\,dx converges.

Proof. Since gg is monotone and bounded, it has a finite limit L=lim⁡x→∞g(x)L = \lim_{x \to \infty} g(x). Write g=(g−L)+Lg = (g - L) + L. The function g−Lg - L is monotone tending to 00, and LL is a constant. Therefore

∫a∞fg=L∫a∞f+∫a∞f (g−L).\int_a^\infty f g = L \int_a^\infty f + \int_a^\infty f\,(g - L).

The first integral converges by hypothesis. The second converges by Dirichlet’s test applied to ff and g−Lg - L (whose antiderivative F(x)=∫axfF(x) = \int_a^x f is bounded because ∫a∞f\int_a^\infty f converges, by the Cauchy criterion). □\square

Worked examples

∫1∞sin⁡xx dx\int_1^\infty \frac{\sin x}{x}\,dx converges (Dirichlet)

Set f(x)=sin⁡xf(x) = \sin x and g(x)=1/xg(x) = 1/x. The antiderivative F(x)=−cos⁡x+cos⁡1F(x) = -\cos x + \cos 1 satisfies ∣F(x)∣≤2|F(x)| \le 2 for all xx, and g(x)=1/x↘0g(x) = 1/x \searrow 0. By Dirichlet’s test, ∫1∞sin⁡xx dx\int_1^\infty \frac{\sin x}{x}\,dx converges.

∫1∞sin⁡xx2 dx\int_1^\infty \frac{\sin x}{x^2}\,dx converges absolutely

For all xx, ∣sin⁡xx2∣≤1x2\left|\frac{\sin x}{x^2}\right| \le \frac{1}{x^2}. Since ∫1∞x−2 dx\int_1^\infty x^{-2}\,dx converges (p=2>1p = 2 > 1), the comparison test gives absolute convergence.

∫1∞dxx\int_1^\infty \frac{dx}{x} diverges

This is the p=1p = 1 case of the Type 1 pp-integral from Improper Integrals. Since ln⁡b→∞\ln b \to \infty, the integral diverges.

∫1∞∣sin⁡x∣x dx\int_1^\infty \frac{|\sin x|}{x}\,dx diverges

On each interval [kπ,(k+1)π][k\pi, (k+1)\pi], ∣sin⁡x∣≥0|\sin x| \ge 0 and ∫kπ(k+1)π∣sin⁡x∣ dx=2\int_{k\pi}^{(k+1)\pi} |\sin x|\,dx = 2. Since 1x≥1(k+1)π\frac{1}{x} \ge \frac{1}{(k+1)\pi} on this interval,

∫kπ(k+1)π∣sin⁡x∣x dx≥2(k+1)π.\int_{k\pi}^{(k+1)\pi} \frac{|\sin x|}{x}\,dx \ge \frac{2}{(k+1)\pi}.

The right side is the general term of a divergent series (∑1/(k+1)\sum 1/(k+1) diverges), so by the comparison test the integral diverges. This confirms that ∫1∞sin⁡xx dx\int_1^\infty \frac{\sin x}{x}\,dx is conditionally but not absolutely convergent.

Summary

  • Cauchy criterion: ∫a∞f\int_a^\infty f converges iff ∣∫ABf∣|\int_A^B f| can be made arbitrarily small for all B>AB > A sufficiently large.
  • Comparison test: for 0≤f≤g0 \le f \le g, convergence of ∫g\int g implies convergence of ∫f\int f; divergence of ∫f\int f implies divergence of ∫g\int g.
  • Limit comparison test: if f,g>0f, g > 0 and f/g→L∈(0,∞)f/g \to L \in (0, \infty), then ∫f\int f and ∫g\int g converge or diverge together.
  • Absolute convergence (∫∣f∣<∞\int |f| < \infty) implies convergence; the converse fails.
  • Dirichlet’s test: bounded F(x)=∫axfF(x) = \int_a^x f plus g↘0g \searrow 0 guarantees ∫fg\int fg converges.
  • Abel’s test: convergent ∫f\int f plus monotone bounded gg guarantees ∫fg\int fg converges.
  • ∫1∞sin⁡xx dx\int_1^\infty \frac{\sin x}{x}\,dx converges conditionally (Dirichlet); ∫1∞sin⁡xx2 dx\int_1^\infty \frac{\sin x}{x^2}\,dx converges absolutely (comparison); ∫1∞dxx\int_1^\infty \frac{dx}{x} and ∫1∞∣sin⁡x∣x dx\int_1^\infty \frac{|\sin x|}{x}\,dx both diverge.