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[T] e x approximated by 1 + x , a = 0

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[T] sin x approximated by x , a = 0


This graph has a horizontal line at y=0.2. It also has a curve starting at the origin and concave up. The curve and the line intersect at the ordered pair (0.5966, 0.2).
Since sin x is increasing for small x and since si n x = sin x , the estimate applies whenever R 2 sin ( R ) 0.2 , which applies up to R = 0.596 .

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[T] ln x approximated by x 1 , a = 1

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[T] cos x approximated by 1 , a = 0


This graph has a horizontal line at y=0.2. It also has a curve starting at the origin and concave up. The curve and the line intersect at the ordered pair (0.44720, 0.2).
Since the second derivative of cos x is cos x and since cos x is decreasing away from x = 0 , the estimate applies when R 2 cos R 0.2 or R 0.447 .

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In the following exercises, find the Taylor series of the given function centered at the indicated point.

1 + x + x 2 + x 3 at a = −1

( x + 1 ) 3 2 ( x + 1 ) 2 + 2 ( x + 1 )

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cos x at a = 2 π

Values of derivatives are the same as for x = 0 so cos x = n = 0 ( −1 ) n ( x 2 π ) 2 n ( 2 n ) !

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cos x at x = π 2

cos ( π 2 ) = 0 , sin ( π 2 ) = −1 so cos x = n = 0 ( −1 ) n + 1 ( x π 2 ) 2 n + 1 ( 2 n + 1 ) ! , which is also cos ( x π 2 ) .

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e x at a = 1

The derivatives are f ( n ) ( 1 ) = e so e x = e n = 0 ( x 1 ) n n ! .

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1 ( x 1 ) 2 at a = 0 ( Hint: Differentiate 1 1 x . )

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1 ( x 1 ) 3 at a = 0

1 ( x 1 ) 3 = ( 1 2 ) d 2 d x 2 1 1 x = n = 0 ( ( n + 2 ) ( n + 1 ) x n 2 )

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F ( x ) = 0 x cos ( t ) d t ; f ( t ) = n = 0 ( −1 ) n t n ( 2 n ) ! at a = 0 ( Note : f is the Taylor series of cos ( t ) . )

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In the following exercises, compute the Taylor series of each function around x = 1 .

f ( x ) = 2 x

2 x = 1 ( x 1 )

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f ( x ) = ( x 2 ) 2

( ( x 1 ) 1 ) 2 = ( x 1 ) 2 2 ( x 1 ) + 1

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f ( x ) = 1 x

1 1 ( 1 x ) = n = 0 ( −1 ) n ( x 1 ) n

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f ( x ) = x 4 x 2 x 2 1

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

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f ( x ) = e 2 x

e 2 x = e 2 ( x 1 ) + 2 = e 2 n = 0 2 n ( x 1 ) n n !

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[T] In the following exercises, identify the value of x such that the given series n = 0 a n is the value of the Maclaurin series of f ( x ) at x . Approximate the value of f ( x ) using S 10 = n = 0 10 a n .

n = 0 2 n n !

x = e 2 ; S 10 = 34,913 4725 7.3889947

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n = 0 ( −1 ) n ( 2 π ) 2 n ( 2 n ) !

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n = 0 ( −1 ) n ( 2 π ) 2 n + 1 ( 2 n + 1 ) !

sin ( 2 π ) = 0 ; S 10 = 8.27 × 10 −5

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The following exercises make use of the functions S 5 ( x ) = x x 3 6 + x 5 120 and C 4 ( x ) = 1 x 2 2 + x 4 24 on [ π , π ] .

[T] Plot sin 2 x ( S 5 ( x ) ) 2 on [ π , π ] . Compare the maximum difference with the square of the Taylor remainder estimate for sin x .

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[T] Plot cos 2 x ( C 4 ( x ) ) 2 on [ π , π ] . Compare the maximum difference with the square of the Taylor remainder estimate for cos x .


This graph has a concave up curve that is symmetrical about the y axis. The lowest point of the graph is the origin with the rest of the curve above the x-axis.
The difference is small on the interior of the interval but approaches 1 near the endpoints. The remainder estimate is | R 4 | = π 5 120 2.552 .

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[T] Plot | 2 S 5 ( x ) C 4 ( x ) sin ( 2 x ) | on [ π , π ] .

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[T] Compare S 5 ( x ) C 4 ( x ) on [ −1 , 1 ] to tan x . Compare this with the Taylor remainder estimate for the approximation of tan x by x + x 3 3 + 2 x 5 15 .


This graph has two curves. The solid curve is very flat and close to the x-axis. It passes through the origin. The second curve, a broken line, is concave down and symmetrical about the y-axis. It is very close to the x-axis between -3 and 3.
The difference is on the order of 10 −4 on [ −1 , 1 ] while the Taylor approximation error is around 0.1 near ± 1 . The top curve is a plot of tan 2 x ( S 5 ( x ) C 4 ( x ) ) 2 and the lower dashed plot shows t 2 ( S 5 C 4 ) 2 .

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[T] Plot e x e 4 ( x ) where e 4 ( x ) = 1 + x + x 2 2 + x 3 6 + x 4 24 on [ 0 , 2 ] . Compare the maximum error with the Taylor remainder estimate.

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(Taylor approximations and root finding.) Recall that Newton’s method x n + 1 = x n f ( x n ) f ( x n ) approximates solutions of f ( x ) = 0 near the input x 0 .

  1. If f and g are inverse functions, explain why a solution of g ( x ) = a is the value f ( a ) of f .
  2. Let p N ( x ) be the N th degree Maclaurin polynomial of e x . Use Newton’s method to approximate solutions of p N ( x ) 2 = 0 for N = 4 , 5 , 6 .
  3. Explain why the approximate roots of p N ( x ) 2 = 0 are approximate values of ln ( 2 ) .

a. Answers will vary. b. The following are the x n values after 10 iterations of Newton’s method to approximation a root of p N ( x ) 2 = 0 : for N = 4 , x = 0.6939... ; for N = 5 , x = 0.6932... ; for N = 6 , x = 0.69315... ; . ( Note: ln ( 2 ) = 0.69314 ... ) c. Answers will vary.

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In the following exercises, use the fact that if q ( x ) = n = 1 a n ( x c ) n converges in an interval containing c , then lim x c q ( x ) = a 0 to evaluate each limit using Taylor series.

lim x 0 cos x 1 x 2

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lim x 0 ln ( 1 x 2 ) x 2

ln ( 1 x 2 ) x 2 1

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lim x 0 e x 2 x 2 1 x 4

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lim x 0 + cos ( x ) 1 2 x

cos ( x ) 1 2 x ( 1 x 2 + x 2 4 ! ) 1 2 x 1 4

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Practice Key Terms 5

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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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