Practice: Power Series, Taylor Expansion and the Remainder

Direct application

Find the radius of convergence of ∑ n = 1 ∞ ( x − 2 ) n 3 n n .

Give the exact value.

Enter the value. It is checked against the answer and the precision this task asks for.

2 hints available, least help first.

Hint 1: Retrieval cue

Apply the ratio test to the full term, including the ( x − 2 ) n .

Hint 2: Concept cue

The factor n / ( n + 1 ) tends to 1, so the limit is | x − 2 | / 3 . Solve for that being less than 1.

Direct application

Find the Maclaurin polynomial T 4 for f ( x ) = cos ⁡ x , then evaluate it at x = 0.5 .

Give your answer to six decimal places.

Enter the value. It is checked against the answer and the precision this task asks for.

2 hints available, least help first.

Hint 1: Retrieval cue

Evaluate f , f ′ , f ″ , f ‴ , f ⁗ at 0 and divide each by the matching factorial.

Hint 2: Concept cue

T 4 ( x ) = 1 − x 2 2 + x 4 24 . Substitute x = 0.5 .

Direct application

The Maclaurin polynomial T 3 ( x ) = x − x 3 6 approximates sin ⁡ x .

Use the Lagrange bound | R n ( x ) | ≤ M | x | n + 1 ( n + 1 ) ! , with M = 1 since every derivative of sin is bounded by 1, to bound the error at x = 0.5 .

Give the bound to six decimal places.

Enter the value. It is checked against the answer and the precision this task asks for.

2 hints available, least help first.

Hint 1: Retrieval cue

With n = 3 , which power of x and which factorial appear in the bound?

Hint 2: Concept cue

The bound is 0.5 4 4 ! .

Error diagnosis · Classification

For f ( x ) = e − 1 / x 2 with f ( 0 ) = 0 , every derivative at the origin is zero, so the Maclaurin series is identically 0 and converges for every x .

A student concludes f ( x ) = 0 for all x .

Which statement identifies the error?

2 hints available, least help first.

Hint 1: Retrieval cue

Write down T n and then R n = f − T n . What is R n here?

Hint 2: Concept cue

Two questions: where does the series converge, and where does it converge to f ?

Construction · Direct application · Explanation

(a) Find the Maclaurin polynomial T 3 for f ( x ) = sin ⁡ x and use the Lagrange remainder to bound the error at x = 0.5 . Then compare your bound with the actual error.

(b) The function f ( x ) = e − 1 / x 2 for x ≠ 0 , with f ( 0 ) = 0 , has every derivative equal to zero at the origin. Write down its Maclaurin series, say where it converges, and explain what this shows about the relationship between a Taylor series converging and a Taylor series representing its function.

Write your answer, then compare it with the worked solution.

2 hints available, least help first.

Hint 2: Concept cue

In (d), the fourth derivative of sin is bounded by 1 everywhere, which supplies M .

Hint 3: Strategy cue

In (e), compute what the series sums to and compare it with f ( 1 ) .

Compare with the worked solution

Comparing does not record a result. Judging your own written answer cannot show that you can do this without help.

(a) T 3 for sin ⁡ x , with an error bound at x = 0.5 . The derivatives at 0 cycle: sin ⁡ 0 = 0 , cos ⁡ 0 = 1 , − sin ⁡ 0 = 0 , − cos ⁡ 0 = − 1 . So the coefficients are 0 , 1 , 0 , − 1 3 ! and

T 3 ( x ) = x − x 3 6 .

The bound. Every derivative of sin is ± sin or ± cos , so | f ( 4 ) | ≤ 1 everywhere and M = 1 :

| R 3 ( 0.5 ) | ≤ M | x | 4 4 ! = 0.5 4 24 = 0.0625 24 ≈ 0.002604 .

The actual error. T 3 ( 0.5 ) = 0.5 − 0.125 6 = 0.479167 , and sin ⁡ ( 0.5 ) = 0.479426 , so the error is 0.000259 . Comparison. The bound 0.002604 exceeds the actual error 0.000259 by about a factor of ten. It must exceed it, a bound that did not would be wrong, and the slack is expected, since M = 1 is the worst case over the interval while the relevant fourth derivative is sin ⁡ c for some small c , which is much smaller than 1. The value of the bound is that it was available before computing T 3 , so the degree could be chosen to meet a required accuracy in advance. (b) f ( x ) = e − 1 / x 2 , f ( 0 ) = 0 . The series. Every derivative at the origin is 0, so every coefficient f ( n ) ( 0 ) n ! is 0, and the Maclaurin series is

0 + 0 ⋅ x + 0 ⋅ x 2 + ⋯ = 0 .

Where it converges. Everywhere. A series of zeros converges for every real x , to the zero function. The radius of convergence is infinite. What it shows. The series converges for all x and equals f only at x = 0 . For every x ≠ 0 , f ( x ) = e − 1 / x 2 > 0 while the series sums to 0. At x = 1 , for instance, f ( 1 ) = e − 1 ≈ 0.368 against a series value of 0. So converging and representing the function are different claims, and the first does not imply the second. Where the gap lives. Taylor's theorem gives f = T n + R n exactly, for every n . Here T n = 0 for all n , so R n = f . The remainder never shrinks. The series represents f precisely where R n → 0 , and that is a separate condition requiring its own argument. Why this is possible at all. The coefficients are built from derivatives at a single point, so they encode only local information at the origin. This function is flat to infinite order there while being positive everywhere else, so the local data at 0 simply does not determine it. The contrast. For e x , sin and cos the Lagrange bound M | x | n + 1 ( n + 1 ) ! does tend to 0 for every fixed x , because the factorial eventually beats any fixed power, which is the argument establishing that those series equal their functions, rather than merely converging.

(c) The radius of convergence. For ∑ n = 1 ∞ x n / n the ratio test gives | x | n n + 1 → | x | , so the series converges absolutely for | x | < 1 and R = 1 .

The endpoints escape that test, since there L = 1 , and they must be examined separately. At x = 1 the series is the harmonic series and diverges. At x = − 1 it is the alternating harmonic series and converges. One endpoint in, one out, which is why an interval of convergence is never read off the radius alone.

A complete answer does each of these:

  • computes taylor coefficients
  • bounds remainder
  • finds radius of convergence
  • explains convergence behaviour
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