To understand the ratio test, consider this series:
The term is given by multiplying the prior term by .
The term is given 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.
(Note that the terms do not affect convergence.)
02 Illustration
Example - Ratio test
Ratio test examples
(a) Observe that has ratio and thus . Therefore the RaT implies that this series converges.
Notice this technique!
Simplify the ratio:
We frequently use these rules:
to simplify ratios having exponents and factorials.
(b) has ratio .
Simplify this:
So the series converges absolutely by the ratio test.
(c) Observe that has ratio as .
So the ratio test is inconclusive, even though this series fails the SDT and obviously diverges.
(d) Observe that has ratio as .
So the ratio test is inconclusive, even though the series converges as a -series with .
(e) More generally, the ratio test is usually inconclusive for rational functions; it is more effective to use LCT with a -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.
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.
07 Theory
Every power series has a radius of convergence and an interval of convergence.
Radius of convergence
Consider a power series centered at :
Define as the limit of coefficient ratios:
Then reciprocal, , is the radius of convergence; it can be anything in including either extreme.
The power series necessarily converges for and diverges for .
Extra - Radius of convergence: explanatory proof
Treat the variable in the power series as a constant.
Apply the ratio test to this series. The ratio function is:
Since is a constant here, we have:
Therefore, the ratio test says that the series converges absolutely when , and diverges when .
We can build shifted power series for near another value . Just replace the variable with a shifted variable :
The radius of convergence of a shifted series is calculated in the same way, using the coefficients:
However, in the shifted setting, the radius of convergence concerns the distance from : Such a power series converges when and diverges when .
The interval of convergence of a power series is determined by:
the radius of convergence
the center point
special consideration of endpoints
Interval of convergence
The interval of convergence of a power series is the set of values of where the series converges.
The interval of convergence is:
centered at
extending a distance to either side of
including / excluding the endpoints where depending on the particular case
To calculate the interval of convergence, follow these steps:
Observe the center of the shifted series; corresponds to no shift.
Take the limit to compute .
Write down the preliminary interval.
Plug each endpoint and into the original series
→ check for convergence
Add in the convergent endpoints. There are 4 total possibilities.