Convergence tests
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In mathematics, convergence tests are methods to determine if an infinite series converges or diverges.
- Test for divergence. If , then diverges.
- Comparison test. The terms of the sequence are compared to those of another sequence . If, for all n,
- , and converges, then so does .
However, if, for all n,
- , and diverges, then so does .
- Ratio test. Assume that for all n, an > 0. Suppose that there exists r such that
- .
If r < 1, then the series converges. If r > 1, then the series diverges. If r = 1, the ratio test is inconclusive, and the series may converge or diverge.
- Root test or nth root test. Suppose that the terms of the sequence in question are non-negative, and that there exists r such that
If r < 1, then the series converges. If r > 1, then the series diverges. If r = 1, the root test is inconclusive, and the series may converge or diverge.
Root test is equivalent to ratio test.
- Integral test. The series can be compared to an integral to establish convergence or divergence. Let f(n) = an be a positive and monotone decreasing function. If
then the series converges. But if the integral diverges, then the series does so as well.
- Limit comparison test. If , and the limit exists and is not zero, then converges if and only if converges.
- Alternating series test. Also known as the Leibniz criterion, the alternating series test states that for an alternating series of the form , if is monotone decreasing, and has a limit of 0, then the series converges.
- Cauchy condensation test. If is a positive monotone decreasing sequence, then
converges if and only if converges.
- For some specific types of series there are more specialized convergence tests, for instance for Fourier series there is the Dini test.