Consider the following function. f(x) = x In(2x), a = 1, n = 3, 0.7 ≤x≤ 1.3 (a) Approximate f by a Taylor polynomial with degree n at the number a. T3(x)= ln(2) + (x-1) (ln(2) +1) + (x-1)² 2! (c) Check your result in part (b) by graphing R,(x). y -0.0002 -0.0004 -0.0006 -0.0008 0.0010 (b) Use Taylor's Inequality to estimate the accuracy of the approximation f(x) * Tn(x) when x lies in R3(x)| ≤ 0.006 0.8 0.9 1.1 1.2 - WebAssign Plot (x-1)³ 3! X 1.3 -0.0002 -0.0004 -0.0006 -0.0008 y 08 0.9

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Consider the following function.
f(x) = x In(2x), a = 1, n = 3,
0.7 ≤ x ≤ 1.3
(a) Approximate f by a Taylor polynomial with degree n at the number a.
T3(x) = ln(2) + (x- 1)(ln(2)+1) +
(c) Check your result in part (b) by graphing R,(x).
y
-0.0002
-0.0004
-0.0006
-0.0008
0.0010
(x-1)²
2!
(b) Use Taylor's Inequality to estimate the accuracy of the approximation f(x) * Tr(x) when x lies in
R3(x)| ≤ 0.006
0.8 0.9
1.0
-
1.1 1.2 1.3
WebAssign Plot
(x-1)³
3!
X
y
-0.0002
-0.0004
-0.0006
-0.0008
08 0.9
Transcribed Image Text:Consider the following function. f(x) = x In(2x), a = 1, n = 3, 0.7 ≤ x ≤ 1.3 (a) Approximate f by a Taylor polynomial with degree n at the number a. T3(x) = ln(2) + (x- 1)(ln(2)+1) + (c) Check your result in part (b) by graphing R,(x). y -0.0002 -0.0004 -0.0006 -0.0008 0.0010 (x-1)² 2! (b) Use Taylor's Inequality to estimate the accuracy of the approximation f(x) * Tr(x) when x lies in R3(x)| ≤ 0.006 0.8 0.9 1.0 - 1.1 1.2 1.3 WebAssign Plot (x-1)³ 3! X y -0.0002 -0.0004 -0.0006 -0.0008 08 0.9
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