Posted by **Lee** on Wednesday, August 17, 2011 at 11:03pm.

I'm studying infinite series and am really struggling with memorizing all the tests for convergence in my book, there's like 10 of them. I don't think I'm going to be successful in memorizing all of them. I will never be asked in my course to use a specific test to determine convergence but to determine weather a series converges using a test and showing my work.

I'm really afraid that on my examinations there are going to be series were the only way I can evaluate them is by using one test only, one that I learned that is, or that I'm going to get my examination and see a question that asks me to determines weather or not a infinite series converges or not, and my mind will just go blank as I go through all the tests that I know in my head, which will be hard to do when I don't really have them all memorized...

So I was wondering if someone could inform me of the be all end all test for convergence for infinite series, that can be used for any infinite series, or most of them. I wouldn't mind spending some time learning something new, if I can just really get the one technique down and master it. There's got to be some test that can be done on all series, or most of them, that's in some upper math courses that I haven't studied yet.

- Calculus -
**Count Iblis**, Wednesday, August 17, 2011 at 11:38pm
The problem here is that a method that always works is usually less efficient. The tests for convergence can all be derived from first principles using the rigorous definition of a limit.

The best thing you can do is to study the derivation of all the tests and also to solve some problems without using any of the standard test from first principles. You'll then get a better feeling of when to apply which test.

The general method that is practical for summations is to use the Cauchy property. So a series converges if and only if for every epsilon > 0 there exists an N such that for all n and m larger than N, the absolute value of the summation from n to m is less than epsilon.

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