[BE] Chapter 3.2, Problem 2E (a) Given the data points (1, 0), (2, In 2), (4, In 4), find the degree 2 interpolating polynomial. (b) Use the result of (a) to approximate In 3, (c) Use Theorem 3.3 to give an error bound for the approximation in part (b). (d) Compare the actual error to your error bound.

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Chapter2: Second-order Linear Odes
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I would like someone to explain what to do in b and c. Thank you.

 

[BE] Chapter 3.2, Problem 2E
(a) Given the data points (1, 0), (2, In 2), (4, In 4), find the degree 2 interpolating polynomial. (b) Use the
result of (a) to approximate In 3, (c) Use Theorem 3.3 to give an error bound for the approximation in part (b).
(d) Compare the actual error to your error bound.
Transcribed Image Text:[BE] Chapter 3.2, Problem 2E (a) Given the data points (1, 0), (2, In 2), (4, In 4), find the degree 2 interpolating polynomial. (b) Use the result of (a) to approximate In 3, (c) Use Theorem 3.3 to give an error bound for the approximation in part (b). (d) Compare the actual error to your error bound.
Theorem 3.3
Assume that P(x) is the (degree n - 1 or less) interpolating
polynomial fitting the n points (x₁, y₁), (In, Yn). The
interpolation error is
f(x) - P(x) =
=
..
(x − x1)(x − x₂) ··· (x ·
n!
- xn) f(n) (c),
where c lies between the smallest and largest of the numbers
X, X1,..., n.
(3.6)
Transcribed Image Text:Theorem 3.3 Assume that P(x) is the (degree n - 1 or less) interpolating polynomial fitting the n points (x₁, y₁), (In, Yn). The interpolation error is f(x) - P(x) = = .. (x − x1)(x − x₂) ··· (x · n! - xn) f(n) (c), where c lies between the smallest and largest of the numbers X, X1,..., n. (3.6)
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