
When testing for convergence, how do you determine which test to use?
Answer
532.2k+ views
Hint: When we get further and further in a sequence, the terms get closer and closer to a specific limit, that is, when adding the terms one after the other, if we get partial sums that become closer and closer to a given number, then the series converges and it is known as the convergence of the series.
Complete step-by-step answer:
There are various tests for determining the convergence of a series, they are as follows –
I.Divergence test –
If \[\mathop {\lim }\limits_{n \to \infty } {a_n} \ne 0\] then $ \sum\limits_n {{a_n}} $ diverges.
II.Integral test –
If $ {a_n} = f(n) $ , $ f(x) $ is a non-negative non-increasing function, then the condition for $ \sum\limits_n^\infty {{a_n}} $ to converge is that the integral $ \int\limits_1^\infty {f(x)} dx $ converges.
III.Comparison test –
If a series is similar to another p-series or geometric series then this test is used. The series should be a positive-term series.
If $ {a_n} \leqslant {b_n} $ and $ \sum {{b_n}} $ converges then $ \sum {{a_n}} $ also converges.
If $ {b_n} \leqslant {a_n} $ and $ \sum {{b_n}} $ diverges then $ \sum {{a_n}} $ also diverges.
IV.Limit comparison test –
If $ \sum {{a_n}} $ and $ \sum {{b_n}} $ are both positive-term series and $ \mathop {\lim }\limits_{n \to \infty } \dfrac{{{a_n}}}{{{b_n}}} = L $ , where $ 0 < L < \infty $ then either $ \sum {{a_n}} $ and $ \sum {{b_n}} $ both converge or both diverge.
V.Alternating series test –
When we have an alternating series, that is, the series has alternative signs then we can write $ \sum\limits_n^\infty {{a_n}} = \sum\limits_n^\infty {{{( - 1)}^n}{b_n}} $
If $ {b_n} > 0 $ , $ {b_{n + 1}} \leqslant {b_n} $ and $ \mathop {\lim }\limits_{n \to \infty } {b_n} = 0 $ , then $ \sum {{{( - 1)}^{n + 1}}{b_n}} $ converges.
VI.Ratio test –
In this test for a series $ \sum {{a_n}} $ , $ L = \mathop {\lim }\limits_{n \to \infty } \dfrac{{\left| {{a_{n + 1}}} \right|}}{{\left| {{a_n}} \right|}} $
If $ L < 1 $ then $ \sum {{a_n}} $ converges.
If $ L = 1 $ then L doesn’t exist and thus test fails.
If $ L > 1 $ then $ \sum {{a_n}} $ diverges.
VII.Root test –
For a series $ \sum {{a_n}} $
Let $ L = \mathop {\lim }\limits_{n \to \infty } \sqrt[n]{{\left| {{a_n}} \right|}} $
If $ L < 1 $ then $ \sum {{a_n}} $ converges.
If $ L = 1 $ then L doesn’t exist and thus test fails.
If $ L > 1 $ then $ \sum {{a_n}} $ diverges.
Hence we can use any of these tests depending on the series, however we use the ratio test the most.
Note: A series is defined as an expression in which infinitely many terms are added one after the other to a given starting quantity. It is represented as $ \sum\limits_{n = 1}^\infty {{a_n}} $ where $ \sum {} $ sign denotes the summation sign which indicates the addition of all the terms. We can also find the radius of convergence after testing whether the series converges or not.
Complete step-by-step answer:
There are various tests for determining the convergence of a series, they are as follows –
I.Divergence test –
If \[\mathop {\lim }\limits_{n \to \infty } {a_n} \ne 0\] then $ \sum\limits_n {{a_n}} $ diverges.
II.Integral test –
If $ {a_n} = f(n) $ , $ f(x) $ is a non-negative non-increasing function, then the condition for $ \sum\limits_n^\infty {{a_n}} $ to converge is that the integral $ \int\limits_1^\infty {f(x)} dx $ converges.
III.Comparison test –
If a series is similar to another p-series or geometric series then this test is used. The series should be a positive-term series.
If $ {a_n} \leqslant {b_n} $ and $ \sum {{b_n}} $ converges then $ \sum {{a_n}} $ also converges.
If $ {b_n} \leqslant {a_n} $ and $ \sum {{b_n}} $ diverges then $ \sum {{a_n}} $ also diverges.
IV.Limit comparison test –
If $ \sum {{a_n}} $ and $ \sum {{b_n}} $ are both positive-term series and $ \mathop {\lim }\limits_{n \to \infty } \dfrac{{{a_n}}}{{{b_n}}} = L $ , where $ 0 < L < \infty $ then either $ \sum {{a_n}} $ and $ \sum {{b_n}} $ both converge or both diverge.
V.Alternating series test –
When we have an alternating series, that is, the series has alternative signs then we can write $ \sum\limits_n^\infty {{a_n}} = \sum\limits_n^\infty {{{( - 1)}^n}{b_n}} $
If $ {b_n} > 0 $ , $ {b_{n + 1}} \leqslant {b_n} $ and $ \mathop {\lim }\limits_{n \to \infty } {b_n} = 0 $ , then $ \sum {{{( - 1)}^{n + 1}}{b_n}} $ converges.
VI.Ratio test –
In this test for a series $ \sum {{a_n}} $ , $ L = \mathop {\lim }\limits_{n \to \infty } \dfrac{{\left| {{a_{n + 1}}} \right|}}{{\left| {{a_n}} \right|}} $
If $ L < 1 $ then $ \sum {{a_n}} $ converges.
If $ L = 1 $ then L doesn’t exist and thus test fails.
If $ L > 1 $ then $ \sum {{a_n}} $ diverges.
VII.Root test –
For a series $ \sum {{a_n}} $
Let $ L = \mathop {\lim }\limits_{n \to \infty } \sqrt[n]{{\left| {{a_n}} \right|}} $
If $ L < 1 $ then $ \sum {{a_n}} $ converges.
If $ L = 1 $ then L doesn’t exist and thus test fails.
If $ L > 1 $ then $ \sum {{a_n}} $ diverges.
Hence we can use any of these tests depending on the series, however we use the ratio test the most.
Note: A series is defined as an expression in which infinitely many terms are added one after the other to a given starting quantity. It is represented as $ \sum\limits_{n = 1}^\infty {{a_n}} $ where $ \sum {} $ sign denotes the summation sign which indicates the addition of all the terms. We can also find the radius of convergence after testing whether the series converges or not.
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