Below is a graph of , along with the constant approximation, linear approximation, and quadratic approximation centred at . Which is which?
Hint
Which of the functions are constant, linear, and quadratic?
Answer
A: linear B: constant C: quadratic
Sequences and Series
53 problems · hints, answers and solutions shown beside each one
Do you understand the idea? Usually little or no calculation.
Below is a graph of , along with the constant approximation, linear approximation, and quadratic approximation centred at . Which is which?
Which of the functions are constant, linear, and quadratic?
A: linear B: constant C: quadratic
You don't have to actually calculate the entire series to answer the question.
Below are a list of common functions, and their Taylor series representations. Match the function to the Taylor series and give the radius of convergence of the series.
| function | series | |
| A. | I. | |
| [20pt] B. | II. | |
| [20pt] C. | III. | |
| [20pt] D. | IV. | |
| [20pt] E. | V. | |
| [20pt] F. | VI. |
If you don't have these memorized, it's good to be able to derive them. For instance, is the antiderivative of , whose Taylor series can be found by modifying the geometric series .
| A - V, radius | B - I, radius | C - IV, radius |
| D - VI, radius | E - II, radius | F - III, radius |
Suppose for all real . What is (the twentieth derivative of at )?
Suppose for all real . What is ?
If , what is ? What is ?
See Example 3.6.16 in the CLP-2 text.
(a) (b)
(c) ;
Practising the skill itself, until applying it is automatic.
The series will bear some resemblance to the Maclaurin series for .
The terms are going to be similar to the terms that we used in the Maclaurin series for sine.
Using the definition of a Taylor series, find the Taylor series for centred at . What is the interval of convergence of the resulting series?
The Taylor series will look similar to a geometric series.
with interval of convergence .
Using the definition of a Taylor series, find the Taylor series for centred at , where is some constant. What is the radius of convergence of the resulting series?
Your answer will depend on .
, with infinite radius of convergence
You should know the Maclaurin series for . Use it.
You should know the Maclaurin series for . Use it.
Find the coefficient of the fifth degree term in the Maclaurin series for .
You should know the Maclaurin series for . Use it.
Express the Taylor series of the function
about in summation notation.
Review Example 3.5.20 in the CLP–2 text.
for all
The first two terms in the Maclaurin series for are , where and are constants. Find the values of and .
You should know the Maclaurin series for . Use it.
, .
You should know the Maclaurin series for . Use it.
.
It is not clear from the wording of the question whether or not the arbitrary constant is to be counted as one of the “first two nonzero terms”.
You should know the Maclaurin series for . Use it.
You should know the Maclaurin series for . Use it.
The Maclaurin series for is given by
which has radius of convergence equal to . Use this fact to compute the exact value of the series below:
Set , for some constant . What are and ?
There is an important Taylor series, one of the series in Theorem 3.6.5 of the
CLP-2 text, that looks a lot like the given series.
There is an important Taylor series, one of the series in Theorem 3.6.5 of the
CLP-2 text, that looks a lot like the given series.
There is an important Taylor series, one of the series in Theorem 3.6.5 of the
CLP-2 text, that looks a lot like the given series. Be careful about the limits of summation.
There is an important Taylor series, one of the series in Theorem 3.6.5 of the
CLP-2 text, that looks a lot like the given series.
Split the series into a sum of two series. There is an important Taylor series, one of the series in Theorem 3.6.5 of the
CLP-2 text, that looks a lot like each of the two series.
Try the ratio test.
The sum diverges–see the solution.
Write it as the sum of two Taylor series.
(a) Show that the power series converges absolutely for all real numbers .
(b) Evaluate .
Can you think of a way to eliminate the odd terms from ?
(a) See the solution. (b)
Using the fact that , how many terms of the Taylor series for arctangent would you have to add up to approximate with an error of at most ?
Example 3.6.13 in the CLP–2 text mentions the formula
Using the Taylor series for arctangent, how many terms would you have to add up to approximate with an error of at most ?
Assume without proof the following:
Using the Taylor series for arctangent, how many terms would you have to add up to approximate with an error of at most ?
The series you're adding up are alternating, so it's simple to bound the error using a partial sum.
(a) 50,000 (b) three terms ( to ) (c) six terms ( to )
Suppose you wanted to approximate the number as a rational number using the Taylor expansion of . How many terms would you need to add to get 10 decimal places of accuracy? (That is, an absolute error less than .)
The Taylor Series is alternating, so bounding the error in a partial-sum approximation is straightforward.
29
Suppose you wanted to approximate the number as a rational number using the Maclaurin expansion of . How many terms would you need to add to get 10 decimal places of accuracy? (That is, an absolute error less than .)
You may assume without proof that .
The Taylor Series is not alternating, so use Theorem 3.6.1-b in the CLP-2 text to bound the error in a partial-sum approximation.
or higher
Suppose you wanted to approximate the number as a rational number using the Taylor expansion of . Which partial sum should you use to get 10 decimal places of accuracy? (That is, an absolute error less than .)
The Taylor Series is not alternating, so use Theorem 3.6.1-b in the CLP-2 text to bound the error in a partial-sum approximation.
or higher
Define the hyperbolic sine function as
Suppose you wanted to approximate the number using the Maclaurin series of , where is some number in . Which partial sum should you use to guarantee 10 decimal places of accuracy? (That is, an absolute error less than .)
You may assume without proof that .
Use Theorem 3.6.1-b in the CLP-2 text to bound the error in a partial-sum approximation. This theorem requires you to consider values of between and ; since could be anything from to , you should think about values of between and .
or higher
Let be a function with
for all .
Give reasonable bounds (both upper and lower) on the error involved in approximating using the partial sum of the Taylor series for centred at .
Remark: One function with this quality is the inverse hyperbolic tangent function. (Of course it is! Actually, hyperbolic tangent is , and inverse hyperbolic tangent is its functional inverse.)
Use Theorem 3.6.1-b in the CLP-2 text to bound the error in a partial-sum approximation.
To bound the derivative over the appropriate range, remember how to find absolute extrema.
The error is in the interval
Further than practice: several ideas at once, or an unfamiliar situation.
See Example 3.6.21 in the
CLP-2 text
See Example 3.6.21 in the
CLP-2 text
Set , and find .
Start by differentiating .
The series bears a resemblance to the Taylor series for arctangent.
Find the Maclaurin series for . What is its radius of convergence?
Manipulate the series you just found to find the Maclaurin series for . What is its radius of convergence?
For simplification purposes, note .
(a) the Maclaurin series for is , and its radius of convergence is .
(b) the Maclaurin series for is , and its radius of convergence is .
Find the Taylor series for centred at . Find the interval of convergence for this series.
You know the Maclaurin series for . Use it! Remember that you are asked for a series expansion in powers of . So you want to be some constant times .
. It converges when .
Let .
Find the Maclaurin series for .
Approximate to within .
Is your approximation in (b) larger or smaller than the true value of ? Explain.
See Example 3.5.21 in the
CLP-2 text. For parts (b) and (c), review § 3.3.4 in the
CLP-2 text.
(a) (b)
(c) The approximate value of part (b) is larger than the true value of
Using a Maclaurin series, the number is found to be an approximation for . Give the best upper bound you can for .
Look at the signs of successive terms in the series.
The magic word is “series”.
Any interval of length 0.0002 that contains and is fine.
Let .
Find the Maclaurin series for .
Approximate to within .
Explain why your answer to part (b) has the desired accuracy.
See Example 3.6.14 in the
CLP-2 text. For parts (b) and (c), review § 3.3.4 in the
CLP-2 text.
(a) (b) (c) See the solution.
The function is defined by .
Find the Maclaurin series for .
It can be shown that has an absolute maximum which occurs at its smallest positive critical point (see the graph of below). Find this critical point.
Use the previous information to find the maximum value of to within .
See Example 3.6.14 in the
CLP-2 text. For part (b), review the fundamental theorem of calculus in § 1.3 of the
CLP-2 text. For part (c), review § 3.3.4 in the
CLP-2 text.
(a) (b) (c)
Let .
Find the Maclaurin series for .
Use this series to approximate to within
Is your estimate in (b) greater than ? Explain.
See Example 3.6.14 in the
CLP-2 text. For parts (b) and (c), review § 3.3.4 in the
CLP-2 text.
(a) (b)
(c)
Let
Find the Maclaurin series for .
Use this series to approximate to within
Is your estimate in (b) greater than or less than ?
See Example 3.6.14 in the
CLP-2 text. For parts (b) and (c), review § 3.3.4 in the
CLP-2 text.
(a)
(b) 0.460 (c)
Define .
Show that the Maclaurin series for is .
Use the ratio test to determine the values of for which the Maclaurin series converges.
(a) See the solution. (b) The series converges for all .
Use the Maclaurin series for .
See the solution.
Let .
Find the power series expansion of about and determine its interval of convergence.
Show that .
Show that for all .
For part (c), compare two power series term-by-term.
(a) for all .
The law of the instrument says “If you have a hammer then everything looks like a nail” — it is really a description of the “tendency of jobs to be adapted to tools rather than adapting tools to jobs.” (Quote from Silvan Tomkins's Computer Simulation of Personality: Frontier of Psychological Theory. See also Birmingham screwdrivers.) Anyway, this is a long way of saying that just because we know how to compute things using Taylor series doesn't mean we should neglect other techniques.
Using Newton's method, approximate the constant as a root of the function . Using a calculator, make your estimation accurate to within 0.01.
You may assume without proof that
for all real numbers . Using the fact that this is an alternating series, how many terms would you have to add for the partial sum to estimate with an error less than 0.01?
For Newton's method, recall we approximate a root of the function in iterations: given an approximation , our next approximation is .
To gauge your error, note that from approximation to approximation, the first digits stabilize. Keep refining your approximation until the first two digits stop changing.
(a) (b) 12 terms ()
Let . Write as a sum of rational numbers with an error less than using the Maclaurin series for arctangent.
First, modify your known Maclaurin series for arctangent into a Maclaurin series for . This series is not hard to repeatedly differentiate, so use it to find a power series for .
Consider the following function:
Sketch .
Assume (without proof) that for all whole numbers . Find the Maclaurin series for .
Where does the Maclaurin series for converge?
For which values of is equal to its Maclaurin series?
Remember is never negative for any real number .
(a)
(b) the constant function 0 (c) everywhere (d) only at
Since is odd, for all in its domain. Consider the even-indexed terms and odd-indexed terms of the Taylor series.
From the UBC Math 101 open textbook project, © Joel Feldman, Andrew Rechnitzer, Elyse Yeager and others. Licensed CC BY-NC-SA 4.0; this HTML adaptation is released under the same licence. Full attribution.