To understand the ratio test better, first consider this series:
The term is created by multiplying the prior term by .
The term is created by multiplying the prior term by .
The term is created by multiplying the prior term by .
When , the multiplication factor giving the next term is necessarily less than . Therefore, when , the terms shrink faster than those of a geometric series having . Therefore this series converges.
Similarly, consider this series:
Write for the ratio from the prior term to the current term . For this series, .
This ratio falls below when , after which the terms necessarily shrink faster than those of a geometric series with . Therefore this series converges.
The main point of the discussion can be stated like this:
Whenever this is the case, then eventually the ratios are bounded below some , and the series terms are smaller than those of a converging geometric series.
Extra - Ratio Test proof
Let us write for the ratio to the next term from term .
Suppose that as , and that . This means: eventually the ratio of terms is close to ; so eventually it is less than .
More specifically, let us define . This is the point halfway between and . Since , we know that eventually .
Any geometric series with ratio converges. Set for big enough that . Then the terms of our series satisfy , and the series starting from is absolutely convergent by comparison to this geometric series.
Determine whether the series converges absolutely or conditionally or diverges.
Solution
Before proceeding, rewrite somewhat the general term as .
Now we solve the problem first using the ratio test. By plugging in we see that
So for the ratio we have:
Therefore the series converges absolutely by the ratio test.
Now solve the problem again using the root test. We have for :
To compute the limit as we must use logarithmic limits and L’Hopital’s Rule. So, first take the log:
Then for the first term apply L’Hopital’s Rule:
So the first term goes to zero, and the second (constant) term is the value of the limit. So the log limit is , and the limit (before taking logs) must be (inverting the log using ) and this is . Since , the root test also shows that the series converges absolutely.
It can help to associate certain “strategy tips” to find convergence tests based on certain patterns.
Matching powers → Simple Divergence Test
Use the SDT because we see the highest power is the same () in numerator and denominator.
Rational or Algebraic → Limit Comparison Test
Use the LCT because we have a rational or algebraic function (positive terms).
Not rational, not factorials → Integral Test
Use the IT because we do not have a rational/algebraic function, and we do not see factorials.
Rational, alternating → AST, and LCT or DCT
Notice large behavior is like or . This converges. Use the LCT to show absolute convergence. Skip the AST because absolute convergence settles the matter. Lesson: check for absolute BEFORE applying AST, even when alternating!
Factorials → Ratio Test
Use the RaT because we see a factorial. (In case of alternating + factorial, use RaT first.)
Recognize geometric → LCT or DCT
Use the LCT or DCT comparing to because we see similarity to (recognize geometric).
Power series are used to build and study functions. They allow a uniform “modeling framework” in which many functions can be described and compared. Power series are also convenient for computers because they provide a way to store and evaluate differentiable functions with numerical (approximate) values.
Small needed for power series
The most important fact about power series is that they work for small values of .
Many power series diverge for too big; but even when they converge, for big they converge more slowly, and partial sum approximations are less accurate.
The idea of a power series is a modification of the idea of a geometric series in which the common ratio becomes a variable , and each term has an additional coefficient parameter controlling the relative contribution of different orders.