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Question 1 . Taylor Polynomials Engineers and physicists frequently use the approximation s i n ( x ) ~~ x for x small, which is

Question 1. Taylor Polynomials
Engineers and physicists frequently use the approximation sin(x)~~x for x small, which is a first-order Taylor
polynomial approximation for sin(x) centered at x=0. In this exercise we will use Taylor's theorem to create a
simple MATLAB function capable of telling us what degree of Taylor polynomial approximation is needed to obtain
a desired level of accuracy on a specified interval.
(a) Let Pn(x) be the degree n Taylor Polynomial for f(x)=sin(x) about x=0. Find n so that Pn(x) is within
10-4 of sin(x) for all xin[-1,1].
(b) Create a MATLAB function that takes as input a positive parameter k, an interval radius (call something
like delta in MATLAB), and a desired error threshold err, and returns a value n for which you can prove that
the nth-order Taylor Polynomial for f(x)=sin(kx) about x=0 is within err of sin(kx) for all xin[-,]. Call
your function with suitable input values to reproduce your answer to question 1(a).
HINT: Your code does not need to be complicated! By mimicking your theoretical analysis from 1(a), you
should only "need" MATLAB at the very end of this problem, where you can write some code to find the first
n satisfying a certain inequality, rather than looking for it by hand (as we did in class).
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