Suppose we want to approximate the function f(x) = sin(x) on the interval [0, 1] by using polynomial interpolation with xo = 0, 21 = 0.5, and x2 = 1. (a) Let pi(x) be the polynomial that interpolates f(x) at ro and 2₁. (i) Find the error bound at x = 0.3 (i.e., the bound for error f(0.3) - p1 (0.3)). (ii) Find the error bound on the whole interval [0, 0.5]. (iii) Use any method of your choice to find p₁(x) and compare the actual error at x = 0.3 with the error bounds in previous steps.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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1. Suppose we want to approximate the function f(x) = sin(x) on the interval [0, 1] by
using polynomial interpolation with xo = 0, x₁ = 0.5, and x2 = 1.
(a) Let pi(x) be the polynomial that interpolates f(x) at xo and ₁. (i) Find the
error bound at x = 0.3 (i.e., the bound for error f(0.3) - pi(0.3)). (ii) Find the
error bound on the whole interval [0, 0.5]. (iii) Use any method of your choice
to find p₁(x) and compare the actual error at x = 0.3 with the error bounds in
previous steps.
(b) Let p2(x) be the polynomial that interpolates f(x) at xo, x1 and 2. (i) Find the
error bound at x = 0.3. (ii) Find the error bound on the interval [0, 1]. (iii) Use
any method of your choice to find p2(x) and compare the actual error at x = 0.3
with the error bounds in previous steps.
Transcribed Image Text:1. Suppose we want to approximate the function f(x) = sin(x) on the interval [0, 1] by using polynomial interpolation with xo = 0, x₁ = 0.5, and x2 = 1. (a) Let pi(x) be the polynomial that interpolates f(x) at xo and ₁. (i) Find the error bound at x = 0.3 (i.e., the bound for error f(0.3) - pi(0.3)). (ii) Find the error bound on the whole interval [0, 0.5]. (iii) Use any method of your choice to find p₁(x) and compare the actual error at x = 0.3 with the error bounds in previous steps. (b) Let p2(x) be the polynomial that interpolates f(x) at xo, x1 and 2. (i) Find the error bound at x = 0.3. (ii) Find the error bound on the interval [0, 1]. (iii) Use any method of your choice to find p2(x) and compare the actual error at x = 0.3 with the error bounds in previous steps.
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