Comparison Test for Improper Integrals
You don't always need the exact area to know whether it's finite. If your function sits underneath one with finite area, its area is finite too; if it sits above one with infinite area, its area is infinite too.
What the symbols mean
- The bigger function
If its integral converges, so does the smaller one's.
- The smaller function
If its integral diverges, so does the bigger one's.
Explanation
The comparison test is simply a way to decide whether an improper integral is finite by checking it against a simpler one, without ever computing it. The name says it: you compare your function to one you already understand. It's good for the many integrals, like from the bell curve, that have no antiderivative you can write down. All we're really saying with is: (the smaller function) sits underneath (the bigger one), so 's area can't be more than 's. It looks like a formal test, but it's really just "less stuff fits under a lower curve"; bear with it.
In the last lesson, every improper integral had an antiderivative you could take a limit of. Try that with and you'd be in for a long partial-fractions slog, and can't be done at all. But often you don't need the number. You only need to know whether it's finite, and for that, a rough comparison is enough.
The comparison test. Suppose for .
- If converges, then converges.
- If diverges, then diverges.
Think about why that makes sense. A smaller positive function has less area under it. If the bigger area is finite, it caps everything below it. If the smaller area is infinite, everything above it is infinite too.
A common mistake. It's tempting to run the test the other way, like " and converges, so converges." That tells you nothing. Being bigger than something finite doesn't stop you from being infinite, and being smaller than something infinite doesn't stop you from being finite. Only the two cases above give a conclusion, so before comparing, decide which way you expect the answer to go and pick a comparison that points that way.
Choosing what to compare with. For large , keep only the terms that dominate and compare with a known integral, usually or :
- , and , so converges.
- , and , so diverges.
The same test works for Type II integrals near a vertical asymptote: compare with , which converges exactly when . Notice that's the opposite direction from the -test at infinity. Near , a smaller power blows up more gently, so it's the small powers that leave a finite area.
See it
Worked examples
Does converge?
- 1
Logs grow much more slowly than , so expect the integrand to be big, and look for something smaller that diverges. For , , so .
Does converge?
- 1
There's no antiderivative to work with, so compare. For , , so .
Practice
Type your answer and check it. Solve them all to complete the lesson.
Does converge?
Does converge?
Does converge?
Does converge?
Since for , is at most what number?
An insurer models claim sizes (in units of \10{,}000f(x) = \frac{2}{x^3}x \ge 1\int_1^\infty x f(x),dx$.
The hardest one here. Get it, and you've got this lesson.
Does converge? If it does, find its value.
Where it's used
Physicists use comparison to show the total energy a system radiates, or the probability of rare events in a heavy-tailed distribution, is finite before anyone computes it. Statisticians use it to decide whether a distribution even has a mean.