Using the comparison test can be hard, because finding the right sequence of inequalities is difficult. The limit comparison test eliminates this part of the method.
- If \(0<L<\infty \) then either both series converge, or they both diverge.
- If \(L=0\) and \(\sum b_k\) converges, then \(\sum a_k\) converges.
- If \(L=\infty \) and \(\sum b_k\) diverges, then \(\sum a_k\) diverges.
This theorem should make intuitive sense.
- If \(0<L<\infty \) then we have \(a_k \approx L \cdot b_k\) for large \(k\), so the behavior of the respective series should be the same.
- If \(L=0\) then \(a_k\) should be way less than \(b_k\). So if \(b_k\) converges, \(a_k\) should also converge by the comparison test.
- If \(L=\infty \), then \(a_k\) should be way greater than \(b_k\). So if \(b_k\) diverges, \(a_k\) should also diverge by the comparison test.
The way we actually use this in practice still involves some creativity: we have to decide on a “similar” series for which we know the convergence properties. However, unlike the comparison test, we can just mechanically take a limit of the ratio of our guess with our original series, instead of having to “get our hands dirty” with inequalities.
Since \(\sum _{k=1}^\infty b_k\) is convergent by the \(p\)-series test with \(p=2\), then the limit comparison test applies, and \(\sum _{k=1}^\infty \frac {\ln (k)}{k^3}\) must also converge.
If the limit comparison test is easier to use than the comparison test, why do we even have the comparison test? Sometimes, the comparison test is actually more powerful. The next example illustrates this idea.
Let’s pause another moment to consider the task of choosing a test to use when analyzing a series for convergence or divergence. Take a few minutes to make a list of all the tests we know so far, and the best situations in which to use each of them.
2025-01-06 20:23:34