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Evaluate n = 1 n 3 n as f ( 1 3 ) where f ( x ) = n = 0 x n .

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Evaluate n = 2 n ( n 1 ) 2 n as f ( 1 2 ) where f ( x ) = n = 0 x n .

f ( x ) = n = 0 x n = 1 1 x ; f ( 1 2 ) = n = 2 n ( n 1 ) 2 n 2 = d 2 d x 2 ( 1 x ) −1 | x = 1 / 2 = 2 ( 1 x ) 3 | x = 1 / 2 = 16 so n = 2 n ( n 1 ) 2 n = 4 .

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Evaluate n = 0 ( −1 ) n n + 1 as 0 1 f ( t ) d t where f ( x ) = n = 0 ( −1 ) n x 2 n = 1 1 + x 2 .

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In the following exercises, given that 1 1 x = n = 0 x n , use term-by-term differentiation or integration to find power series for each function centered at the given point.

f ( x ) = ln x centered at x = 1 ( Hint: x = 1 ( 1 x ) )

( 1 x ) n d x = ( −1 ) n ( x 1 ) n d x = ( −1 ) n ( x 1 ) n + 1 n + 1

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ln ( 1 x 2 ) at x = 0

t = 0 x 2 1 1 t d t = n = 0 0 x 2 t n d x n = 0 x 2 ( n + 1 ) n + 1 = n = 1 x 2 n n

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f ( x ) = 2 x ( 1 x 2 ) 2 at x = 0

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f ( x ) = tan −1 ( x 2 ) at x = 0

0 x 2 d t 1 + t 2 = n = 0 ( −1 ) n 0 x 2 t 2 n d t = n = 0 ( −1 ) n t 2 n + 1 2 n + 1 | t = 0 x 2 = n = 0 ( −1 ) n x 4 n + 2 2 n + 1

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f ( x ) = ln ( 1 + x 2 ) at x = 0

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f ( x ) = 0 x ln t d t where ln ( x ) = n = 1 ( −1 ) n 1 ( x 1 ) n n

Term-by-term integration gives 0 x ln t d t = n = 1 ( −1 ) n 1 ( x 1 ) n + 1 n ( n + 1 ) = n = 1 ( −1 ) n 1 ( 1 n 1 n + 1 ) ( x 1 ) n + 1 = ( x 1 ) ln x + n = 2 ( −1 ) n ( x 1 ) n n = x ln x x .

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[T] Evaluate the power series expansion ln ( 1 + x ) = n = 1 ( −1 ) n 1 x n n at x = 1 to show that ln ( 2 ) is the sum of the alternating harmonic series. Use the alternating series test to determine how many terms of the sum are needed to estimate ln ( 2 ) accurate to within 0.001, and find such an approximation.

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[T] Subtract the infinite series of ln ( 1 x ) from ln ( 1 + x ) to get a power series for ln ( 1 + x 1 x ) . Evaluate at x = 1 3 . What is the smallest N such that the N th partial sum of this series approximates ln ( 2 ) with an error less than 0.001?

We have ln ( 1 x ) = n = 1 x n n so ln ( 1 + x ) = n = 1 ( −1 ) n 1 x n n . Thus, ln ( 1 + x 1 x ) = n = 1 ( 1 + ( −1 ) n 1 ) x n n = 2 n = 1 x 2 n 1 2 n 1 . When x = 1 3 we obtain ln ( 2 ) = 2 n = 1 1 3 2 n 1 ( 2 n 1 ) . We have 2 n = 1 3 1 3 2 n 1 ( 2 n 1 ) = 0.69300 , while 2 n = 1 4 1 3 2 n 1 ( 2 n 1 ) = 0.69313 and ln ( 2 ) = 0.69314 ; therefore, N = 4 .

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In the following exercises, using a substitution if indicated, express each series in terms of elementary functions and find the radius of convergence of the sum.

k = 0 ( x k x 2 k + 1 )

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k = 1 x 3 k 6 k

k = 1 x k k = ln ( 1 x ) so k = 1 x 3 k 6 k = 1 6 ln ( 1 x 3 ) . The radius of convergence is equal to 1 by the ratio test.

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k = 1 ( 1 + x 2 ) k using y = 1 1 + x 2

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k = 1 2 k x using y = 2 x

If y = 2 x , then k = 1 y k = y 1 y = 2 x 1 2 x = 1 2 x 1 . If a k = 2 k x , then a k + 1 a k = 2 x < 1 when x > 0 . So the series converges for all x > 0 .

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Show that, up to powers x 3 and y 3 , E ( x ) = n = 0 x n n ! satisfies E ( x + y ) = E ( x ) E ( y ) .

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Differentiate the series E ( x ) = n = 0 x n n ! term-by-term to show that E ( x ) is equal to its derivative.

Answers will vary.

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Show that if f ( x ) = n = 0 a n x n is a sum of even powers, that is, a n = 0 if n is odd, then F = 0 x f ( t ) d t is a sum of odd powers, while if f is a sum of odd powers, then F is a sum of even powers.

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[T] Suppose that the coefficients a n of the series n = 0 a n x n are defined by the recurrence relation a n = a n 1 n + a n 2 n ( n 1 ) . For a 0 = 0 and a 1 = 1 , compute and plot the sums S N = n = 0 N a n x n for N = 2 , 3 , 4 , 5 on [ −1 , 1 ] .


This is a graph of three curves. They are all increasing and become very close as the curves approach x = 0. Then they separate as x moves away from 0.
The solid curve is S 5 . The dashed curve is S 2 , dotted is S 3 , and dash-dotted is S 4

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[T] Suppose that the coefficients a n of the series n = 0 a n x n are defined by the recurrence relation a n = a n 1 n a n 2 n ( n 1 ) . For a 0 = 1 and a 1 = 0 , compute and plot the sums S N = n = 0 N a n x n for N = 2 , 3 , 4 , 5 on [ −1 , 1 ] .

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[T] Given the power series expansion ln ( 1 + x ) = n = 1 ( −1 ) n 1 x n n , determine how many terms N of the sum evaluated at x = −1 / 2 are needed to approximate ln ( 2 ) accurate to within 1/1000. Evaluate the corresponding partial sum n = 1 N ( −1 ) n 1 x n n .

When x = 1 2 , ln ( 2 ) = ln ( 1 2 ) = n = 1 1 n 2 n . Since n = 11 1 n 2 n < n = 11 1 2 n = 1 2 10 , one has n = 1 10 1 n 2 n = 0.69306 whereas ln ( 2 ) = 0.69314 ; therefore, N = 10 .

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[T] Given the power series expansion tan −1 ( x ) = k = 0 ( −1 ) k x 2 k + 1 2 k + 1 , use the alternating series test to determine how many terms N of the sum evaluated at x = 1 are needed to approximate tan −1 ( 1 ) = π 4 accurate to within 1/1000. Evaluate the corresponding partial sum k = 0 N ( −1 ) k x 2 k + 1 2 k + 1 .

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[T] Recall that tan −1 ( 1 3 ) = π 6 . Assuming an exact value of ( 1 3 ) , estimate π 6 by evaluating partial sums S N ( 1 3 ) of the power series expansion tan −1 ( x ) = k = 0 ( −1 ) k x 2 k + 1 2 k + 1 at x = 1 3 . What is the smallest number N such that 6 S N ( 1 3 ) approximates π accurately to within 0.001? How many terms are needed for accuracy to within 0.00001?

6 S N ( 1 3 ) = 2 3 n = 0 N ( −1 ) n 1 3 n ( 2 n + 1 ) . One has π 6 S 4 ( 1 3 ) = 0.00101 and π 6 S 5 ( 1 3 ) = 0.00028 so N = 5 is the smallest partial sum with accuracy to within 0.001. Also, π 6 S 7 ( 1 3 ) = 0.00002 while π 6 S 8 ( 1 3 ) = −0.000007 so N = 8 is the smallest N to give accuracy to within 0.00001.

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Practice Key Terms 2

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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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