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Show that the alternating series 2 3 3 5 + 4 7 5 9 + does not converge. What hypothesis of the alternating series test is not met?

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The formula cos θ = 1 θ 2 2 ! + θ 4 4 ! θ 6 6 ! + will be derived in the next chapter. Use the remainder | R N | b N + 1 to find a bound for the error in estimating cos θ by the fifth partial sum 1 θ 2 / 2 ! + θ 4 / 4 ! θ 6 / 6 ! + θ 8 / 8 ! for θ = 1 , θ = π / 6 , and θ = π .

For N = 5 one has | R N | b 6 = θ 10 / 10 ! . When θ = 1 , R 5 1 / 10 ! 2.75 × 10 −7 . When θ = π / 6 , R 5 ( π / 6 ) 10 / 10 ! 4.26 × 10 −10 . When θ = π , R 5 π 10 / 10 ! = 0.0258 .

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The formula sin θ = θ θ 3 3 ! + θ 5 5 ! θ 7 7 ! + will be derived in the next chapter. Use the remainder | R N | b N + 1 to find a bound for the error in estimating sin θ by the fifth partial sum θ θ 3 / 3 ! + θ 5 / 5 ! θ 7 / 7 ! + θ 9 / 9 ! for θ = 1 , θ = π / 6 , and θ = π .

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How many terms in cos θ = 1 θ 2 2 ! + θ 4 4 ! θ 6 6 ! + are needed to approximate cos 1 accurate to an error of at most 0.00001 ?

Let b n = 1 / ( 2 n 2 ) ! . Then R N 1 / ( 2 N ) ! < 0.00001 when ( 2 N ) ! > 10 5 or N = 5 and 1 1 2 ! + 1 4 ! 1 6 ! + 1 8 ! = 0.540325 , whereas cos 1 = 0.5403023

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How many terms in sin θ = θ θ 3 3 ! + θ 5 5 ! θ 7 7 ! + are needed to approximate sin 1 accurate to an error of at most 0.00001 ?

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Sometimes the alternating series n = 1 ( −1 ) n 1 b n converges to a certain fraction of an absolutely convergent series n = 1 b n at a faster rate. Given that n = 1 1 n 2 = π 2 6 , find S = 1 1 2 2 + 1 3 2 1 4 2 + . Which of the series 6 n = 1 1 n 2 and S n = 1 ( −1 ) n 1 n 2 gives a better estimation of π 2 using 1000 terms?

Let T = 1 n 2 . Then T S = 1 2 T , so S = T / 2 . 6 × n = 1 1000 1 / n 2 = 3.140638 ; 12 × n = 1 1000 ( −1 ) n 1 / n 2 = 3.141591 ;

π = 3.141592 . The alternating series is more accurate for 1000 terms.

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The following alternating series converge to given multiples of π . Find the value of N predicted by the remainder estimate such that the N th partial sum of the series accurately approximates the left-hand side to within the given error. Find the minimum N for which the error bound holds, and give the desired approximate value in each case. Up to 15 decimals places, π = 3.141592653589793 .

[T] π 4 = n = 0 ( −1 ) n 2 n + 1 , error < 0.0001

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[T] π 12 = k = 0 ( −3 ) k 2 k + 1 , error < 0.0001

N = 6 , S N = 0.9068

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[T] The series n = 0 sin ( x + π n ) x + π n plays an important role in signal processing. Show that n = 0 sin ( x + π n ) x + π n converges whenever 0 < x < π . ( Hint: Use the formula for the sine of a sum of angles.)

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[T] If n = 1 N ( −1 ) n 1 1 n ln 2 , what is 1 + 1 3 + 1 5 1 2 1 4 1 6 + 1 7 + 1 9 + 1 11 1 8 1 10 1 12 + ?

ln ( 2 ) . The 3 n th partial sum is the same as that for the alternating harmonic series.

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[T] Plot the series n = 1 100 cos ( 2 π n x ) n for 0 x < 1 . Explain why n = 1 100 cos ( 2 π n x ) n diverges when x = 0 , 1 . How does the series behave for other x ?

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[T] Plot the series n = 1 100 sin ( 2 π n x ) n for 0 x < 1 and comment on its behavior

The series jumps rapidly near the endpoints. For x away from the endpoints, the graph looks like π ( 1 / 2 x ) .
This shows a function in quadrants 1 and 4 that begins at (0, 0), sharply increases to just below 1.5 close to the y axis, decreases linearly, crosses the x axis at 0.5, continues to decrease linearly, and sharply increases just before 1 to 0.

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[T] Plot the series n = 1 100 cos ( 2 π n x ) n 2 for 0 x < 1 and describe its graph.

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[T] The alternating harmonic series converges because of cancellation among its terms. Its sum is known because the cancellation can be described explicitly. A random harmonic series is one of the form n = 1 S n n , where s n is a randomly generated sequence of ± 1 's in which the values ± 1 are equally likely to occur. Use a random number generator to produce 1000 random ± 1 s and plot the partial sums S N = n = 1 N s n n of your random harmonic sequence for N = 1 to 1000 . Compare to a plot of the first 1000 partial sums of the harmonic series.

Here is a typical result. The top curve consists of partial sums of the harmonic series. The bottom curve plots partial sums of a random harmonic series.
This shows two curves. The top is an increasing concave down curve. The bottom is a jagged, random harmonic series plot that stays close to 0.

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[T] Estimates of n = 1 1 n 2 can be accelerated by writing its partial sums as n = 1 N 1 n 2 = n = 1 N 1 n ( n + 1 ) + n = 1 N 1 n 2 ( n + 1 ) and recalling that n = 1 N 1 n ( n + 1 ) = 1 1 N + 1 converges to one as N . Compare the estimate of π 2 / 6 using the sums n = 1 1000 1 n 2 with the estimate using 1 + n = 1 1000 1 n 2 ( n + 1 ) .

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[T] The Euler transform rewrites S = n = 0 ( −1 ) n b n as S = n = 0 ( −1 ) n 2 n 1 m = 0 n ( n m ) b n m . For the alternating harmonic series, it takes the form ln ( 2 ) = n = 1 ( −1 ) n 1 n = n = 1 1 n 2 n . Compute partial sums of n = 1 1 n 2 n until they approximate ln ( 2 ) accurate to within 0.0001 . How many terms are needed? Compare this answer to the number of terms of the alternating harmonic series are needed to estimate ln ( 2 ) .

By the alternating series test, | S n S | b n + 1 , so one needs 10 4 terms of the alternating harmonic series to estimate ln ( 2 ) to within 0.0001 . The first 10 partial sums of the series n = 1 1 n 2 n are (up to four decimals) 0.5000 , 0.6250 , 0.6667 , 0.6823 , 0.6885 , 0.6911 , 0.6923 , 0.6928 , 0.6930 , 0.6931 and the tenth partial sum is within 0.0001 of ln ( 2 ) = 0.6931 .

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[T] In the text it was stated that a conditionally convergent series can be rearranged to converge to any number. Here is a slightly simpler, but similar, fact. If a n 0 is such that a n 0 as n but n = 1 a n diverges, then, given any number A there is a sequence s n of ± 1 's such that n = 1 a n s n A . Show this for A > 0 as follows.

  1. Recursively define s n by s n = 1 if S n 1 = k = 1 n 1 a k s k < A and s n = −1 otherwise.
  2. Explain why eventually S n A , and for any m larger than this n , A a m S m A + a m .
  3. Explain why this implies that S n A as n .
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Practice Key Terms 4

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Source:  OpenStax, Calculus volume 2. OpenStax CNX. Feb 05, 2016 Download for free at http://cnx.org/content/col11965/1.2
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